astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.mes-hall - 尺度和物理纳米 cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.FL - 形式语言与自动机理论 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.DG - 微分几何 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.CD - 混沌动力学 physics.geo-ph - 地球物理学 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Building Small-Satellites to Live Through the Kessler Effect
    • [cond-mat.mes-hall]Ultra-Low Energy and High Speed LIF Neuron using Silicon Bipolar Impact Ionization MOSFET for Spiking Neural Networks
    • [cond-mat.stat-mech]Evolutionary reinforcement learning of dynamical large deviations
    • [cs.AI]A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
    • [cs.AI]Adversarial Robustness of Similarity-Based Link Prediction
    • [cs.AI]Allen’s Interval Algebra Makes the Difference
    • [cs.AI]Conditional Vehicle Trajectories Prediction in CARLA Urban Environment
    • [cs.AI]Design and Results of the Second International Competition on Computational Models of Argumentation
    • [cs.AI]Efficient Decision Making and Belief Space Planning using Sparse Approximations
    • [cs.AI]Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing
    • [cs.AI]GPU-based parallelism for ASP-solving
    • [cs.AI]Heterogeneous Proxytypes Extended: Integrating Theory-like Representations and Mechanisms with Prototypes and Exemplars
    • [cs.AI]Learning Local Forward Models on Unforgiving Games
    • [cs.AI]Mining Insights from Weakly-Structured Event Data
    • [cs.AI]On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score
    • [cs.AI]PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data
    • [cs.AI]Quantifying Infra-Marginality and Its Trade-off with Group Fairness
    • [cs.AI]SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems
    • [cs.AI]Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
    • [cs.AI]Semantically-Regularized Logic Graph Embeddings
    • [cs.AI]Soft Triangles for Expert Aggregation
    • [cs.AI]The Semantic Asset Administration Shell
    • [cs.AI]Unifying Causal Models with Trek Rules
    • [cs.AI]What can the brain teach us about building artificial intelligence?
    • [cs.AR]Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads
    • [cs.CL]”Can you say more about the location?” The Development of a Pedagogical Reference Resolution Agent
    • [cs.CL]A Sketch-Based System for Semantic Parsing
    • [cs.CL]A Smart Sliding Chinese Pinyin Input Method Editor on Touchscreen
    • [cs.CL]AMR Normalization for Fairer Evaluation
    • [cs.CL]Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
    • [cs.CL]Adversarial Bootstrapping for Dialogue Model Training
    • [cs.CL]All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations
    • [cs.CL]An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
    • [cs.CL]Answering questions by learning to rank — Learning to rank by answering questions
    • [cs.CL]Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
    • [cs.CL]Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF
    • [cs.CL]Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering
    • [cs.CL]Attributed Rhetorical Structure Grammar for Domain Text Summarization
    • [cs.CL]Automatic Argument Quality Assessment — New Datasets and Methods
    • [cs.CL]Better Rewards Yield Better Summaries: Learning to Summarise Without References
    • [cs.CL]Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres
    • [cs.CL]CMU GetGoing: An Understandable and Memorable Dialog System for Seniors
    • [cs.CL]Certified Robustness to Adversarial Word Substitutions
    • [cs.CL]Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b
    • [cs.CL]Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
    • [cs.CL]Commonsense Knowledge Mining from Pretrained Models
    • [cs.CL]Context-Aware Monolingual Repair for Neural Machine Translation
    • [cs.CL]Cross-Lingual Machine Reading Comprehension
    • [cs.CL]CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
    • [cs.CL]Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization
    • [cs.CL]Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
    • [cs.CL]Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
    • [cs.CL]Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
    • [cs.CL]Duality Regularization for Unsupervised Bilingual Lexicon Induction
    • [cs.CL]DurIAN: Duration Informed Attention Network For Multimodal Synthesis
    • [cs.CL]Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
    • [cs.CL]Empirical Study of Diachronic Word Embeddings for Scarce Data
    • [cs.CL]Encode, Tag, Realize: High-Precision Text Editing
    • [cs.CL]Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
    • [cs.CL]Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
    • [cs.CL]Extracting Aspects Hierarchies using Rhetorical Structure Theory
    • [cs.CL]From ‘F’ to ‘A’ on the N.Y. Regents Science Exams: An Overview of the Aristo Project
    • [cs.CL]How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
    • [cs.CL]How to Build User Simulators to Train RL-based Dialog Systems
    • [cs.CL]ICDM 2019 Knowledge Graph Contest: Team UWA
    • [cs.CL]Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue
    • [cs.CL]Improving Context-aware Neural Machine Translation with Target-side Context
    • [cs.CL]Interpretable Word Embeddings via Informative Priors
    • [cs.CL]Introducing RONEC — the Romanian Named Entity Corpus
    • [cs.CL]Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes
    • [cs.CL]It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
    • [cs.CL]Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
    • [cs.CL]Language Models as Knowledge Bases?
    • [cs.CL]Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
    • [cs.CL]Minimally Supervised Learning of Affective Events Using Discourse Relations
    • [cs.CL]Mixture Content Selection for Diverse Sequence Generation
    • [cs.CL]Modeling Named Entity Embedding Distribution into Hypersphere
    • [cs.CL]Mogrifier LSTM
    • [cs.CL]Monitoring stance towards vaccination in Twitter messages
    • [cs.CL]Multi-agent Learning for Neural Machine Translation
    • [cs.CL]Neural Attentive Bag-of-Entities Model for Text Classification
    • [cs.CL]Neural Linguistic Steganography
    • [cs.CL]Open Named Entity Modeling from Embedding Distribution
    • [cs.CL]ParaQG: A System for Generating Questions and Answers from Paragraphs
    • [cs.CL]Phrase-Level Class based Language Model for Mandarin Smart Speaker Query Recognition
    • [cs.CL]PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking
    • [cs.CL]Predicting Specificity in Classroom Discussion
    • [cs.CL]Referring Expression Generation Using Entity Profiles
    • [cs.CL]Rotate $\textit{King}$ to get $\textit{Queen}$: Word Relationships as Orthogonal Transformations in Embedding Space
    • [cs.CL]SAO WMT19 Test Suite: Machine Translation of Audit Reports
    • [cs.CL]ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks
    • [cs.CL]Sentence-Level Content Planning and Style Specification for Neural Text Generation
    • [cs.CL]Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
    • [cs.CL]Story-oriented Image Selection and Placement
    • [cs.CL]Subword Language Model for Query Auto-Completion
    • [cs.CL]SumQE: a BERT-based Summary Quality Estimation Model
    • [cs.CL]Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing
    • [cs.CL]The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
    • [cs.CL]The CL-SciSumm Shared Task 2018: Results and Key Insights
    • [cs.CL]The Woman Worked as a Babysitter: On Biases in Language Generation
    • [cs.CL]Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons
    • [cs.CL]Towards Making a Dependency Parser See
    • [cs.CL]Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
    • [cs.CL]Transfer Fine-Tuning: A BERT Case Study
    • [cs.CL]Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop
    • [cs.CL]Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
    • [cs.CR]A Generic Sharding Scheme for Blockchain Protocols
    • [cs.CR]DeepObfusCode: Source Code Obfuscation Through Sequence-to-Sequence Networks
    • [cs.CR]Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis
    • [cs.CR]HinDom: A Robust Malicious Domain Detection System based on Heterogeneous Information Network with Transductive Classification
    • [cs.CR]Privacy with Surgical Robotics: Challenges in Applying Contextual Privacy Theory
    • [cs.CR]StairDag: Cross-DAG Validation For Scalable BFT Consensus
    • [cs.CR]Towards Models for Availability and Security Evaluation of Cloud Computing with Moving Target Defense
    • [cs.CV]’Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-term Tracking
    • [cs.CV]3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results
    • [cs.CV]3D Morphable Face Models — Past, Present and Future
    • [cs.CV]A CNN-based approach to classify cricket bowlers based on their bowling actions
    • [cs.CV]A Geometry-Sensitive Approach for Photographic Style Classification
    • [cs.CV]A Low-Cost, Flexible and Portable Volumetric Capturing System
    • [cs.CV]Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
    • [cs.CV]Aerial multi-object tracking by detection using deep association networks
    • [cs.CV]An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
    • [cs.CV]Beyond Photo Realism for Domain Adaptation from Synthetic Data
    • [cs.CV]Bidirectional One-Shot Unsupervised Domain Mapping
    • [cs.CV]Combining Deep Learning and Model-Based Methods for Robust Real-Time Semantic Landmark Detection
    • [cs.CV]Counterfactual Depth from a Single RGB Image
    • [cs.CV]Cross View Fusion for 3D Human Pose Estimation
    • [cs.CV]Data Interpretation over Plots
    • [cs.CV]Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
    • [cs.CV]Deep Morphological Neural Networks
    • [cs.CV]Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
    • [cs.CV]Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data
    • [cs.CV]Dynamic Approach for Lane Detection using Google Street View and CNN
    • [cs.CV]Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability
    • [cs.CV]EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
    • [cs.CV]Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data
    • [cs.CV]FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second
    • [cs.CV]Face-to-Parameter Translation for Game Character Auto-Creation
    • [cs.CV]Fast and Efficient Model for Real-Time Tiger Detection In The Wild
    • [cs.CV]Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
    • [cs.CV]Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
    • [cs.CV]Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
    • [cs.CV]ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
    • [cs.CV]Functional Asplund’s metrics for pattern matching robust to variable lighting conditions
    • [cs.CV]Geometry Normalization Networks for Accurate Scene Text Detection
    • [cs.CV]HarDNet: A Low Memory Traffic Network
    • [cs.CV]HiCoRe: Visual Hierarchical Context-Reasoning
    • [cs.CV]HishabNet: Detection, Localization and Calculation of Handwritten Bengali Mathematical Expressions
    • [cs.CV]Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense
    • [cs.CV]Image Inpainting with Learnable Bidirectional Attention Maps
    • [cs.CV]Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing
    • [cs.CV]Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
    • [cs.CV]Knowledge Distillation for End-to-EndPerson Search
    • [cs.CV]Learned Semantic Multi-Sensor Depth Map Fusion
    • [cs.CV]Learning Visual Features Under Motion Invariance
    • [cs.CV]Let’s agree to disagree: learning highly debatable multirater labelling
    • [cs.CV]MANAS: Multi-Agent Neural Architecture Search
    • [cs.CV]MRI Reconstruction Using Deep Bayesian Inference
    • [cs.CV]Multi-level Attention network using text, audio and video for Depression Prediction
    • [cs.CV]Multiple Object Tracking with Motion and Appearance Cues
    • [cs.CV]Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles
    • [cs.CV]Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph
    • [cs.CV]PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
    • [cs.CV]PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction
    • [cs.CV]PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
    • [cs.CV]Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds
    • [cs.CV]READ: Recursive Autoencoders for Document Layout Generation
    • [cs.CV]Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation
    • [cs.CV]Rethinking the Number of Channels for the Convolutional Neural Network
    • [cs.CV]SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
    • [cs.CV]STaDA: Style Transfer as Data Augmentation
    • [cs.CV]Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
    • [cs.CV]Self-Supervised Deep Depth Denoising
    • [cs.CV]Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
    • [cs.CV]Semantic Segmentation of Panoramic Images Using a Synthetic Dataset
    • [cs.CV]Semantic filtering through deep source separation on microscopy images
    • [cs.CV]Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
    • [cs.CV]This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity
    • [cs.CV]Towards Flops-constrained Face Recognition
    • [cs.CV]Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
    • [cs.CV]Training-Time-Friendly Network for Real-Time Object Detection
    • [cs.CV]Translating Visual Art into Music
    • [cs.CV]Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus
    • [cs.CV]Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context
    • [cs.CV]Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
    • [cs.CV]White-Box Evaluation of Fingerprint Matchers
    • [cs.CY]Analysis of Bias in Gathering Information Between User Attributes in News Application
    • [cs.CY]Cross-Cutting Political Awareness through Diverse News Recommendations
    • [cs.CY]CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing
    • [cs.CY]Effective Strategies for Using Hashtags in Online Communication
    • [cs.CY]Epistemological Issues in Educational Data Mining
    • [cs.CY]Experiences from Using Gamification and IoT-based Educational Tools in High Schools towards Energy Savings
    • [cs.CY]Learning Real Estate Automated Valuation Models from Heterogeneous Data Sources
    • [cs.CY]Modelling the Behavior Classification of Social News Aggregations Users
    • [cs.CY]Under the Conditions of Non-Agenda Ownership: Social Media Users in the 2019 Ukrainian Presidential Elections Campaign
    • [cs.DB]Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
    • [cs.DB]Local Embeddings for Relational Data Integration
    • [cs.DB]Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper)
    • [cs.DB]Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs — The Case of Wikidata
    • [cs.DC]Algorithm-Based Fault Tolerance for Parallel Stencil Computations
    • [cs.DC]An Event-Driven Approach to Serverless Seismic Imaging in the Cloud
    • [cs.DC]Asynchronous Time-Parallel Method based on Laplace Transform
    • [cs.DC]Dispersion of Mobile Robots in the Global Communication Model
    • [cs.DC]EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
    • [cs.DC]Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation
    • [cs.DC]Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs
    • [cs.DC]Large Scale Parallelization Using File-Based Communications
    • [cs.DC]Shortest Paths in a Hybrid Network Model
    • [cs.DL]Lost or found? Discovering data needed for research
    • [cs.DS]Almost Optimal Tensor Sketch
    • [cs.DS]Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections
    • [cs.DS]De(con)struction of the lazy-F loop: improving performance of Smith Waterman alignment
    • [cs.DS]Faster Algorithms for Edge Connectivity via Random $2$-Out Contractions
    • [cs.DS]Stochastic Submodular Probing with State-Dependent Costs
    • [cs.ET]Mapping Spiking Neural Networks to Neuromorphic Hardware
    • [cs.FL]Average-based Robustness for Continuous-Time Signal Temporal Logic
    • [cs.FL]On the k-synchronizability for mailbox systems
    • [cs.GR]Topologically-Guided Color Image Enhancement
    • [cs.GT]Gerrymandering: A Briber’s Perspective
    • [cs.HC]A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems
    • [cs.HC]Defining and Adopting an End User Computing Policy: A Case Study
    • [cs.HC]Detecting Compromised Implicit Association Test Results Using Supervised Learning
    • [cs.HC]Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
    • [cs.HC]Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers
    • [cs.HC]Social Networks as a Tool for a Higher Education Institution Image Creation
    • [cs.HC]Understanding Continuous and Pleasant Linear Sensations on the Forearm from a Sequential Discrete Lateral Skin-Slip Haptic Device
    • [cs.IR]A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation
    • [cs.IR]A Deep, Forgetful Novelty-Seeking Movie Recommender Model
    • [cs.IR]Affect Enriched Word Embeddings for News Information Retrieval
    • [cs.IR]Algorithms and System Architecture for Immediate Personalized News Recommendations
    • [cs.IR]All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation
    • [cs.IR]Employ Multimodal Machine Learning for Content quality analysis
    • [cs.IR]Finding Salient Context based on Semantic Matching for Relevance Ranking
    • [cs.IR]Heterogeneous Collaborative Filtering
    • [cs.IR]Interdependency between the Stock Market and Financial News
    • [cs.IR]Know2Look: Commonsense Knowledge for Visual Search
    • [cs.IR]Named Entity Recognition Only from Word Embeddings
    • [cs.IR]SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
    • [cs.IT]A Note on the Probability of Rectangles for Correlated Binary Strings
    • [cs.IT]A Tight Uniform Continuity Bound for Equivocation
    • [cs.IT]Complexity analysis of the Controlled Loosening-up (CLuP) algorithm
    • [cs.IT]Controlled Loosening-up (CLuP) — achieving exact MIMO ML in polynomial time
    • [cs.IT]Deep Learning-Aided Tabu Search Detection for Large MIMO Systems
    • [cs.IT]Design of Ambient Backscatter Training for Retrodirective Wireless Power Transfer
    • [cs.IT]Efficient Resource Allocation for Relay-Assisted Computation Offloading in Mobile Edge Computing
    • [cs.IT]Joint Radar-Communications Strategies for Autonomous Vehicles
    • [cs.IT]Local Partial Zero-Forcing Precoding for Cell-Free Massive MIMO
    • [cs.IT]Low-Complexity Linear Equalizers for OTFS Exploiting Two-Dimensional Fast Fourier Transform
    • [cs.IT]Non-uniform recovery guarantees for binary measurements and infinite-dimensional compressed sensing
    • [cs.IT]One-Way URLLC with Truncated Channel Inversion Power Control
    • [cs.IT]Optimal $k$-thresholding algorithms for sparse optimization problems
    • [cs.IT]Optimal Causal Rate-Constrained Sampling of the Wiener Process
    • [cs.IT]Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws
    • [cs.IT]Private and Secure Distributed Matrix Multiplication with Flexible Communication Load
    • [cs.IT]Rate-Memory Trade-off for Multi-access Coded Caching with Uncoded Placement
    • [cs.IT]Reliability and Local Delay in Wireless Networks: Does Bandwidth Partitioning Help?
    • [cs.IT]Reliable Communications Over Dependent Fading Wireless Channels
    • [cs.IT]Round Complexity of Common Randomness Generation: The Amortized Setting
    • [cs.IT]Secure Transmission Strategy for Intelligent Reflecting Surface Enhanced Wireless System
    • [cs.IT]Short-packet Transmission via Variable-Length Codes in the Presence of Noisy Stop Feedback
    • [cs.IT]Starting CLuP with polytope relaxation
    • [cs.IT]Topological Coding and Topological Matrices Toward Network Overall Security
    • [cs.LG]A Constructive Approach for Data-Driven Randomized Learning of Feedforward Neural Networks
    • [cs.LG]A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
    • [cs.LG]Active Collaborative Sensing for Energy Breakdown
    • [cs.LG]An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data
    • [cs.LG]Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms
    • [cs.LG]Augmented Memory Networks for Streaming-Based Active One-Shot Learning
    • [cs.LG]Beyond Human-Level Accuracy: Computational Challenges in Deep Learning
    • [cs.LG]Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings
    • [cs.LG]Causal Discovery by Kernel Intrinsic Invariance Measure
    • [cs.LG]Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
    • [cs.LG]Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
    • [cs.LG]Deep Equilibrium Models
    • [cs.LG]Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs
    • [cs.LG]DeepHealth: Deep Learning for Health Informatics
    • [cs.LG]Differentially Private Objective Perturbation: Beyond Smoothness and Convexity
    • [cs.LG]Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
    • [cs.LG]Efron-Stein PAC-Bayesian Inequalities
    • [cs.LG]Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks
    • [cs.LG]Empirical Hypothesis Space Reduction
    • [cs.LG]Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records
    • [cs.LG]Further results on structured regression for multi-scale networks
    • [cs.LG]GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
    • [cs.LG]Generalization in Transfer Learning
    • [cs.LG]Generalized Integrated Gradients: A practical method for explaining diverse ensembles
    • [cs.LG]Graph Representation Learning: A Survey
    • [cs.LG]Guided Random Forest and its application to data approximation
    • [cs.LG]High-Fidelity Extraction of Neural Network Models
    • [cs.LG]Improving Disentangled Representation Learning with the Beta Bernoulli Process
    • [cs.LG]LCA: Loss Change Allocation for Neural Network Training
    • [cs.LG]LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games
    • [cs.LG]Learning Distributions Generated by One-Layer ReLU Networks
    • [cs.LG]Learning sparse representations in reinforcement learning
    • [cs.LG]Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training
    • [cs.LG]Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
    • [cs.LG]Logic and the $2$-Simplicial Transformer
    • [cs.LG]Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
    • [cs.LG]Metric Learning for Adversarial Robustness
    • [cs.LG]Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data
    • [cs.LG]Mixture Probabilistic Principal GeodesicAnalysis
    • [cs.LG]Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
    • [cs.LG]Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples
    • [cs.LG]Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
    • [cs.LG]On the Downstream Performance of Compressed Word Embeddings
    • [cs.LG]Parameter Estimation with the Ordered $\ell_{2}$ Regularization via an Alternating Direction Method of Multipliers
    • [cs.LG]Personalizing Smartwatch Based Activity Recognition Using Transfer Learning
    • [cs.LG]Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
    • [cs.LG]Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
    • [cs.LG]Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent
    • [cs.LG]Tensor Analysis with n-Mode Generalized Difference Subspace
    • [cs.LG]Topics to Avoid: Demoting Latent Confounds in Text Classification
    • [cs.LG]Towards Automatic Detection of Misinformation in Online Medical Videos
    • [cs.LG]Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
    • [cs.LG]Transfer Learning Between Related Tasks Using Expected Label Proportions
    • [cs.LG]Understanding Bias in Machine Learning
    • [cs.LG]What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning
    • [cs.LG]rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
    • [cs.LO]Proof-Based Synthesis of Sorting Algorithms Using Multisets in Theorema
    • [cs.MA]Modelling Bushfire Evacuation Behaviours
    • [cs.MM]Robust Invisible Video Watermarking with Attention
    • [cs.MM]VISIR: Visual and Semantic Image Label Refinement
    • [cs.NE]Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State Network
    • [cs.NE]Distance transform regression for spatially-aware deep semantic segmentation
    • [cs.NE]Estimating Approximation Errors of Elitist Evolutionary Algorithms
    • [cs.NE]Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks
    • [cs.NE]Triclustering of Gene Expression Microarray Data Using Coarse-Grained Parallel Genetic Algorithm
    • [cs.NI]Edge Intelligence: the Confluence of Edge Computing and Artificial Intelligence
    • [cs.NI]Fog Computing Architectures: a Reference for Practitioners
    • [cs.NI]Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
    • [cs.NI]Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning
    • [cs.RO]An Abstraction-Free Method for Multi-Robot Temporal Logic Optimal Control Synthesis
    • [cs.RO]Combined Task and Motion Planning for a Dual-arm Robot to Use a Suction Cup Tool
    • [cs.RO]Contact Inertial Odometry: Collisions are your Friend
    • [cs.RO]Exploration Without Global Consistency Using Local Volume Consolidation
    • [cs.RO]Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
    • [cs.RO]From perception to control: an autonomous driving system for a formula student driverless car
    • [cs.RO]Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures
    • [cs.RO]Learning User Preferences for Trajectories from Brain Signals
    • [cs.RO]Learning a Spatial Field in Minimum Time with a Team of Robots
    • [cs.RO]Learning to gesticulate by observation using a deep generative approach
    • [cs.RO]Model-free Visual Control for Continuum Robot Manipulators via Orientation Adaptation
    • [cs.RO]Multi-DoF Time Domain Passivity Approach based Drift Compensation for Telemanipulation
    • [cs.RO]On Maximizing Lateral Clearance of an Autonomous Vehicle in Urban Environments
    • [cs.RO]The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
    • [cs.RO]Transferring Adaptive Theory of Mind to social robots: insights from developmental psychology to robotics
    • [cs.RO]miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework
    • [cs.RO]qiBullet, a Bullet-based simulator for the Pepper and NAO robots
    • [cs.SD]An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks
    • [cs.SD]Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed
    • [cs.SD]Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech
    • [cs.SD]On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
    • [cs.SE]A Bug or a Suggestion? An Automatic Way to Label Issues
    • [cs.SE]Targeted Example Generation for Compilation Errors
    • [cs.SI]Can A User Guess What Her Followers Want?
    • [cs.SI]How much research shared on Facebook is hidden from public view? A comparison of public and private online activity around PLOS ONE papers
    • [cs.SI]Identifying the Hierarchical Influence Structure behind Smart Sanctions using Network Analysis
    • [cs.SI]Impact of Social Influence on Adoption Behavior: An Online Controlled Experimental Evaluation
    • [cs.SI]Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion
    • [cs.SI]On Privacy of Socially Contagious Attributes
    • [cs.SI]Publishing Community-Preserving Attributed Social Graphs with a Differential Privacy Guarantee
    • [cs.SI]Status in flux: Unequal alliances can create power vacuums
    • [cs.SI]War pact model of shrinking networks
    • [econ.GN]Racial Disparities in Voting Wait Times: Evidence from Smartphone Data
    • [eess.AS]Modeling Long-Range Context for Concurrent Dialogue Acts Recognition
    • [eess.IV]3D landmark detection for augmented reality based otologic procedures
    • [eess.IV]3DSiameseNet to Analyze Brain MRI
    • [eess.IV]A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning
    • [eess.IV]A Tool for Super-Resolving Multimodal Clinical MRI
    • [eess.IV]Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion
    • [eess.IV]CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
    • [eess.IV]Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
    • [eess.IV]Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI
    • [eess.IV]Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk
    • [eess.IV]Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images
    • [eess.IV]Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing
    • [eess.IV]Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
    • [eess.IV]Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
    • [eess.IV]Graph-based Transforms for Video Coding
    • [eess.IV]Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation
    • [eess.IV]Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
    • [eess.IV]Optimal translational-rotational invariant dictionaries for images
    • [eess.IV]Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT
    • [eess.IV]Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation
    • [eess.IV]Self-Attentive Adversarial Stain Normalization
    • [eess.SP]Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
    • [eess.SP]Fundamental Tradeoffs in Uplink Grant-Free Multiple Access with Protected CSI
    • [eess.SY]A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks
    • [eess.SY]ACES — Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning
    • [eess.SY]Deep Convolutional Networks in System Identification
    • [eess.SY]Design, fabrication and 3-DOF control of legless capsule robot
    • [eess.SY]Secure Analysis of Dynamic Networks under Pinning Attacks against Synchronization
    • [eess.SY]Stochastic quasi-Newton with line-search regularization
    • [hep-ph]Lund jet images from generative and cycle-consistent adversarial networks
    • [math.DG]Stability of the Cut Locus and a Central Limit Theorem for Fréchet Means of Riemannian Manifolds
    • [math.NA]Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems
    • [math.NA]Incrementally Updated Spectral Embeddings
    • [math.NA]PLANC: Parallel Low Rank Approximation with Non-negativity Constraints
    • [math.OC]A Decomposition Method for Large-scale Convex Quadratically Constrained Quadratic Programs
    • [math.OC]The ML-EM algorithm in continuum: sparse measure solutions
    • [math.PR]A Note on New Bernstein-type Inequalities for the Log-likelihood Function of Bernoulli Variables
    • [math.PR]Central limit theorems for discretized occupation time functionals
    • [math.ST]A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
    • [math.ST]Anti-MANOVA on Compact Manifolds with Applications to 3D Projective Shape Analysis
    • [math.ST]Asymptotic linear expansion of regularized M-estimators
    • [math.ST]Consistency of Ranking Estimators
    • [math.ST]Minimum $L^q$-distance estimators for non-normalized parametric models
    • [math.ST]Moment convergence of the generalized maximum composite likelihood estimators for determinantal point processes
    • [math.ST]Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data
    • [math.ST]Random Graph Models and Matchings
    • [math.ST]Statistical Inferences of Linear Forms for Noisy Matrix Completion
    • [math.ST]Statistics of Gaussians on local fields and their tropicalizations
    • [math.ST]The extended xgamma distribution
    • [nlin.CD]Reservoir Computing based on Quenched Chaos
    • [physics.geo-ph]Multifractal Description of Streamflow and Suspended Sediment Concentration Data from Indian River Basins
    • [physics.soc-ph]Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms
    • [physics.soc-ph]Misinformation spreading on correlated multiplex networks
    • [q-bio.PE]Inferring species interactions using Granger causality and convergent cross mapping
    • [q-bio.QM]An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction
    • [q-fin.ST]Are Bitcoins price predictable? Evidence from machine learning techniques using technical indicators
    • [quant-ph]Optimal uniform continuity bound for conditional entropy of classical—quantum states
    • [quant-ph]State Stabilization for Gate-Model Quantum Computers
    • [quant-ph]Training Optimization for Gate-Model Quantum Neural Networks
    • [stat.AP]A smooth dynamic network model for patent collaboration data
    • [stat.AP]Categorical Co-Frequency Analysis: Clustering Diagnosis Codes to Predict Hospital Readmissions
    • [stat.AP]Dynamic principal component regression for forecasting functional time series in a group structure
    • [stat.AP]Gender-based homophily in collaborations across a heterogeneous scholarly landscape
    • [stat.AP]In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
    • [stat.AP]Learning Sensor Placement from Demonstration for UAV networks
    • [stat.AP]Mape_Maker: A Scenario Creator
    • [stat.AP]State Drug Policy Effectiveness: Comparative Policy Analysis of Drug Overdose Mortality
    • [stat.AP]The association between commute time and poverty in the U.S
    • [stat.ME]Bayesian Neural Tree Models for Nonparametric Regression
    • [stat.ME]Clustering of count data through a mixture of multinomial PCA
    • [stat.ME]Competing risks joint models using R-INLA
    • [stat.ME]Déjà vu: forecasting with similarity
    • [stat.ME]Evaluating proxy influence in assimilated paleoclimate reconstructions — Testing the exchangeability of two ensembles of spatial processes
    • [stat.ME]Generating random Gaussian graphical models
    • [stat.ME]Group Inference in High Dimensions with Applications to Hierarchical Testing
    • [stat.ME]Latent Space Representations of Hypergraphs
    • [stat.ME]Multifidelity Computer Model Emulation with High-Dimensional Output
    • [stat.ME]Multilevel latent class (MLC) modelling of healthcare provider causal effects on patient outcomes: Evaluation via simulation
    • [stat.ME]Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model
    • [stat.ME]Simultaneous Estimation of Number of Clusters and Feature Sparsity in Clustering High-Dimensional Data
    • [stat.ME]Subset Multivariate Collective And Point Anomaly Detection
    • [stat.ME]Testing nonparametric shape restrictions
    • [stat.ME]Vector Autoregressive Moving Average Model with Scalar Moving Average
    • [stat.ML]Avoiding Resentment Via Monotonic Fairness
    • [stat.ML]Counterfactual Risk Assessments, Evaluation, and Fairness
    • [stat.ML]Data Selection for Short Term load forecasting
    • [stat.ML]Deep kernel learning for integral measurements
    • [stat.ML]Discriminative Topic Modeling with Logistic LDA
    • [stat.ML]Efficiency of Coordinate Descent Methods For Structured Nonconvex Optimization
    • [stat.ML]Gaussian mixture model decomposition of multivariate signals
    • [stat.ML]Latent Gaussian process with composite likelihoods for data-driven disease stratification
    • [stat.ML]Learning without feedback: Direct random target projection as a feedback-alignment algorithm with layerwise feedforward training
    • [stat.ML]Likelihood-Free Overcomplete ICA and Applications in Causal Discovery
    • [stat.ML]Metric Learning from Imbalanced Data
    • [stat.ML]Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks
    • [stat.ML]Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
    • [stat.ML]Rates of Convergence for Large-scale Nearest Neighbor Classification

    ·····································

    • [astro-ph.IM]Building Small-Satellites to Live Through the Kessler Effect
    Steven Morad, Himangshu Kalita, Ravi teja Nallapu, Jekan Thangavelautham
    http://arxiv.org/abs/1909.01342v1

    • [cond-mat.mes-hall]Ultra-Low Energy and High Speed LIF Neuron using Silicon Bipolar Impact Ionization MOSFET for Spiking Neural Networks
    Alok Kumar Kamal, Jawar Singh
    http://arxiv.org/abs/1909.00669v1

    • [cond-mat.stat-mech]Evolutionary reinforcement learning of dynamical large deviations
    Stephen Whitelam, Daniel Jacobson, Isaac Tamblyn
    http://arxiv.org/abs/1909.00835v1

    • [cs.AI]A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
    Katsuhiko Hayashi, Masashi Shimbo
    http://arxiv.org/abs/1909.01567v1

    • [cs.AI]Adversarial Robustness of Similarity-Based Link Prediction
    Kai Zhou, Tomasz P. Michalak, Yevgeniy Vorobeychik
    http://arxiv.org/abs/1909.01432v1

    • [cs.AI]Allen’s Interval Algebra Makes the Difference
    Tomi Janhunen, Michael Sioutis
    http://arxiv.org/abs/1909.01128v1

    • [cs.AI]Conditional Vehicle Trajectories Prediction in CARLA Urban Environment
    Thibault Buhet, Emilie Wirbel, Xavier Perrotton
    http://arxiv.org/abs/1909.00792v1

    • [cs.AI]Design and Results of the Second International Competition on Computational Models of Argumentation
    Sarah A. Gaggl, Thomas Linsbichler, Marco Maratea, Stefan Woltran
    http://arxiv.org/abs/1909.00621v1

    • [cs.AI]Efficient Decision Making and Belief Space Planning using Sparse Approximations
    Khen Elimelech, Vadim Indelman
    http://arxiv.org/abs/1909.00885v1

    • [cs.AI]Fractals2019: Combinatorial Optimisation with Dynamic Constraint Annealing
    Mikhail Prokopenko, Peter Wang
    http://arxiv.org/abs/1909.01788v1

    • [cs.AI]GPU-based parallelism for ASP-solving
    Agostino Dovier, Andrea Formisano, Flavio Vella
    http://arxiv.org/abs/1909.01786v1

    • [cs.AI]Heterogeneous Proxytypes Extended: Integrating Theory-like Representations and Mechanisms with Prototypes and Exemplars
    Antonio Lieto
    http://arxiv.org/abs/1909.01645v1

    • [cs.AI]Learning Local Forward Models on Unforgiving Games
    Alexander Dockhorn, Simon M. Lucas, Vanessa Volz, Ivan Bravi, Raluca D. Gaina, Diego Perez-Liebana
    http://arxiv.org/abs/1909.00442v1

    • [cs.AI]Mining Insights from Weakly-Structured Event Data
    Niek Tax
    http://arxiv.org/abs/1909.01421v1

    • [cs.AI]On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score
    Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh, Hamed Shariat Yazdi, Jens Lehmann
    http://arxiv.org/abs/1909.00519v1

    • [cs.AI]PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data
    Linfeng Li, Peng Wang, Yao Wang, Jinpeng Jiang, Buzhou Tang, Jun Yan, Shenghui Wang, Yuting Liu
    http://arxiv.org/abs/1909.00672v1

    • [cs.AI]Quantifying Infra-Marginality and Its Trade-off with Group Fairness
    Arpita Biswas, Siddharth Barman, Amit Deshpande, Amit Sharma
    http://arxiv.org/abs/1909.00982v1

    • [cs.AI]SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems
    Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti, Daniel Russo
    http://arxiv.org/abs/1909.01602v1

    • [cs.AI]Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
    Liliang Ren, Jianmo Ni, Julian McAuley
    http://arxiv.org/abs/1909.00754v1

    • [cs.AI]Semantically-Regularized Logic Graph Embeddings
    Yaqi Xie, Ziwei Xu, Kuldeep Meel, Mohan S Kankanhalli, Harold Soh
    http://arxiv.org/abs/1909.01161v2

    • [cs.AI]Soft Triangles for Expert Aggregation
    Paul B. Kantor
    http://arxiv.org/abs/1909.01801v1

    • [cs.AI]The Semantic Asset Administration Shell
    Sebastian R. Bader, Maria Maleshkova
    http://arxiv.org/abs/1909.00690v1

    • [cs.AI]Unifying Causal Models with Trek Rules
    Shuyan Wang
    http://arxiv.org/abs/1909.01789v1

    • [cs.AI]What can the brain teach us about building artificial intelligence?
    Dileep George
    http://arxiv.org/abs/1909.01561v1

    • [cs.AR]Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads
    Seokin Hong, Bulent Abali, Alper Buyuktosunoglu, Michael B. Healy, Prashant J. Nair
    http://arxiv.org/abs/1909.00553v1

    • [cs.CL]“Can you say more about the location?” The Development of a Pedagogical Reference Resolution Agent
    Maike Paetzel, Ramesh Manuvinakurike
    http://arxiv.org/abs/1909.00945v1

    • [cs.CL]A Sketch-Based System for Semantic Parsing
    Zechang Li, Yuxuan Lai, Yuxi Xie, Yansong Feng, Dongyan Zhao
    http://arxiv.org/abs/1909.00574v1

    • [cs.CL]A Smart Sliding Chinese Pinyin Input Method Editor on Touchscreen
    Zhuosheng Zhang, Zhen Meng, Hai Zhao
    http://arxiv.org/abs/1909.01063v1

    • [cs.CL]AMR Normalization for Fairer Evaluation
    Michael Wayne Goodman
    http://arxiv.org/abs/1909.01568v1

    • [cs.CL]Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
    Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
    http://arxiv.org/abs/1909.01492v1

    • [cs.CL]Adversarial Bootstrapping for Dialogue Model Training
    Oluwatobi Olabiyi, Erik T. Mueller, Christopher Larson, Tarek Lahlou
    http://arxiv.org/abs/1909.00925v1

    • [cs.CL]All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations
    Siyao Peng, Amir Zeldes
    http://arxiv.org/abs/1909.00522v1

    • [cs.CL]An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
    Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui
    http://arxiv.org/abs/1909.00502v1

    • [cs.CL]Answering questions by learning to rank — Learning to rank by answering questions
    George-Sebastian Pîrtoacă, Traian Rebedea, Stefan Ruseti
    http://arxiv.org/abs/1909.00596v1

    • [cs.CL]Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
    Thomas Scialom, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
    http://arxiv.org/abs/1909.01610v1

    • [cs.CL]Aspect Detection using Word and Char Embeddings with (Bi)LSTM and CRF
    Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko
    http://arxiv.org/abs/1909.01276v1

    • [cs.CL]Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering
    Jamshid Mozafari, MohammadAli Nematbakhsh, Afsaneh Fatemi
    http://arxiv.org/abs/1909.01059v1

    • [cs.CL]Attributed Rhetorical Structure Grammar for Domain Text Summarization
    Ruqian Lu, Shengluan Hou, Chuanqing Wang, Yu Huang, Chaoqun Fei, Songmao Zhang
    http://arxiv.org/abs/1909.00923v1

    • [cs.CL]Automatic Argument Quality Assessment — New Datasets and Methods
    Assaf Toledo, Shai Gretz, Edo Cohen-Karlik, Roni Friedman, Elad Venezian, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim
    http://arxiv.org/abs/1909.01007v1

    • [cs.CL]Better Rewards Yield Better Summaries: Learning to Summarise Without References
    Florian Böhm, Yang Gao, Christian M. Meyer, Ori Shapira, Ido Dagan, Iryna Gurevych
    http://arxiv.org/abs/1909.01214v1

    • [cs.CL]Beyond The Wall Street Journal: Anchoring and Comparing Discourse Signals across Genres
    Yang Liu
    http://arxiv.org/abs/1909.00516v1

    • [cs.CL]CMU GetGoing: An Understandable and Memorable Dialog System for Seniors
    Shikib Mehri, Alan W Black, Maxine Eskenazi
    http://arxiv.org/abs/1909.01322v1

    • [cs.CL]Certified Robustness to Adversarial Word Substitutions
    Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang
    http://arxiv.org/abs/1909.00986v1

    • [cs.CL]Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b
    Diego Molla, Christopher Jones
    http://arxiv.org/abs/1909.00542v1

    • [cs.CL]Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities
    Bailin Wang, Wei Lu
    http://arxiv.org/abs/1909.00930v1

    • [cs.CL]Commonsense Knowledge Mining from Pretrained Models
    Joshua Feldman, Joe Davison, Alexander M. Rush
    http://arxiv.org/abs/1909.00505v1

    • [cs.CL]Context-Aware Monolingual Repair for Neural Machine Translation
    Elena Voita, Rico Sennrich, Ivan Titov
    http://arxiv.org/abs/1909.01383v1

    • [cs.CL]Cross-Lingual Machine Reading Comprehension
    Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu
    http://arxiv.org/abs/1909.00361v1

    • [cs.CL]CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
    Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han
    http://arxiv.org/abs/1909.01441v1

    • [cs.CL]Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization
    Siyao Li, Deren Lei, Pengda Qin, William Yang Wang
    http://arxiv.org/abs/1909.00141v1

    • [cs.CL]Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
    Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun
    http://arxiv.org/abs/1909.01720v1

    • [cs.CL]Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
    Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
    http://arxiv.org/abs/1909.01584v1

    • [cs.CL]Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?
    Ivan Vulić, Goran Glavaš, Roi Reichart, Anna Korhonen
    http://arxiv.org/abs/1909.01638v1

    • [cs.CL]Duality Regularization for Unsupervised Bilingual Lexicon Induction
    Xuefeng Bai, Yue Zhang, Hailong Cao, Tiejun Zhao
    http://arxiv.org/abs/1909.01013v1

    • [cs.CL]DurIAN: Duration Informed Attention Network For Multimodal Synthesis
    Chengzhu Yu, Heng Lu, Na Hu, Meng Yu, Chao Weng, Kun Xu, Peng Liu, Deyi Tuo, Shiyin Kang, Guangzhi Lei, Dan Su, Dong Yu
    http://arxiv.org/abs/1909.01700v1

    • [cs.CL]Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
    Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev
    http://arxiv.org/abs/1909.00786v1

    • [cs.CL]Empirical Study of Diachronic Word Embeddings for Scarce Data
    Syrielle Montariol, Alexandre Allauzen
    http://arxiv.org/abs/1909.01863v1

    • [cs.CL]Encode, Tag, Realize: High-Precision Text Editing
    Eric Malmi, Sebastian Krause, Sascha Rothe, Daniil Mirylenka, Aliaksei Severyn
    http://arxiv.org/abs/1909.01187v1

    • [cs.CL]Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level Translation
    Zhengxin Yang, Jinchao Zhang, Fandong Meng, Shuhao Gu, Yang Feng, Jie Zhou
    http://arxiv.org/abs/1909.00564v1

    • [cs.CL]Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
    Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang, Zhiyuan Ma, Yangming Zhou, Ping He
    http://arxiv.org/abs/1909.00615v1

    • [cs.CL]Extracting Aspects Hierarchies using Rhetorical Structure Theory
    Łukasz Augustyniak, Tomasz Kajdanowicz, Przemysław Kazienko
    http://arxiv.org/abs/1909.01800v1

    • [cs.CL]From ‘F’ to ‘A’ on the N.Y. Regents Science Exams: An Overview of the Aristo Project
    Peter Clark, Oren Etzioni, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin
    http://arxiv.org/abs/1909.01958v1

    • [cs.CL]How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
    Kawin Ethayarajh
    http://arxiv.org/abs/1909.00512v1

    • [cs.CL]How to Build User Simulators to Train RL-based Dialog Systems
    Weiyan Shi, Kun Qian, Xuewei Wang, Zhou Yu
    http://arxiv.org/abs/1909.01388v1

    • [cs.CL]ICDM 2019 Knowledge Graph Contest: Team UWA
    Michael Stewart, Majigsuren Enkhsaikhan, Wei Liu
    http://arxiv.org/abs/1909.01807v1

    • [cs.CL]Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue
    Mingzhi Yu, Emer Gilmartin, Diane Litman
    http://arxiv.org/abs/1909.00876v1

    • [cs.CL]Improving Context-aware Neural Machine Translation with Target-side Context
    Hayahide Yamagishi, Mamoru Komachi
    http://arxiv.org/abs/1909.00531v1

    • [cs.CL]Interpretable Word Embeddings via Informative Priors
    Miriam Hurtado Bodell, Martin Arvidsson, Måns Magnusson
    http://arxiv.org/abs/1909.01459v1

    • [cs.CL]Introducing RONEC — the Romanian Named Entity Corpus
    Stefan Daniel Dumitrescu, Andrei-Marius Avram
    http://arxiv.org/abs/1909.01247v1

    • [cs.CL]Investigating the Relationship between Multi-Party Linguistic Entrainment, Team Characteristics, and the Perception of Team Social Outcomes
    Mingzhi Yu, Diane Litman, Susannah Paletz
    http://arxiv.org/abs/1909.00867v1

    • [cs.CL]It’s All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution
    Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, Simone Teufel
    http://arxiv.org/abs/1909.00871v1

    • [cs.CL]Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange
    Steven Y. Feng, Aaron W. Li, Jesse Hoey
    http://arxiv.org/abs/1909.00088v1

    • [cs.CL]Language Models as Knowledge Bases?
    Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel
    http://arxiv.org/abs/1909.01066v2

    • [cs.CL]Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
    Mingyang Chen, Wen Zhang, Wei Zhang, Qiang Chen, Huajun Chen
    http://arxiv.org/abs/1909.01515v1

    • [cs.CL]Minimally Supervised Learning of Affective Events Using Discourse Relations
    Jun Saito, Yugo Murawaki, Sadao Kurohashi
    http://arxiv.org/abs/1909.00694v1

    • [cs.CL]Mixture Content Selection for Diverse Sequence Generation
    Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
    http://arxiv.org/abs/1909.01953v1

    • [cs.CL]Modeling Named Entity Embedding Distribution into Hypersphere
    Zhuosheng Zhang, Bingjie Tang, Zuchao Li, Hai Zhao
    http://arxiv.org/abs/1909.01065v1

    • [cs.CL]Mogrifier LSTM
    Gábor Melis, Tomáš Kočiský, Phil Blunsom
    http://arxiv.org/abs/1909.01792v1

    • [cs.CL]Monitoring stance towards vaccination in Twitter messages
    Florian Kunneman, Mattijs Lambooij, Albert Wong, Antal van den Bosch, Liesbeth Mollema
    http://arxiv.org/abs/1909.00338v1

    • [cs.CL]Multi-agent Learning for Neural Machine Translation
    Tianchi Bi, Hao Xiong, Zhongjun He, Hua Wu, Haifeng Wang
    http://arxiv.org/abs/1909.01101v1

    • [cs.CL]Neural Attentive Bag-of-Entities Model for Text Classification
    Ikuya Yamada, Hiroyuki Shindo
    http://arxiv.org/abs/1909.01259v1

    • [cs.CL]Neural Linguistic Steganography
    Zachary M. Ziegler, Yuntian Deng, Alexander M. Rush
    http://arxiv.org/abs/1909.01496v1

    • [cs.CL]Open Named Entity Modeling from Embedding Distribution
    Ying Luo, Hai Zhao, Tao Wang, Linlin Li, Luo Si
    http://arxiv.org/abs/1909.00170v1

    • [cs.CL]ParaQG: A System for Generating Questions and Answers from Paragraphs
    Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li
    http://arxiv.org/abs/1909.01642v1

    • [cs.CL]Phrase-Level Class based Language Model for Mandarin Smart Speaker Query Recognition
    Yiheng Huang, Liqiang He, Lei Han, Guangsen Wang, Dan Su
    http://arxiv.org/abs/1909.00556v1

    • [cs.CL]PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking
    Matthew Henderson, Ivan Vulić, Iñigo Casanueva, Paweł Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrkšić, Pei-Hao Su
    http://arxiv.org/abs/1909.01296v1

    • [cs.CL]Predicting Specificity in Classroom Discussion
    Luca Lugini, Diane Litman
    http://arxiv.org/abs/1909.01462v1

    • [cs.CL]Referring Expression Generation Using Entity Profiles
    Meng Cao, Jackie Chi Kit Cheung
    http://arxiv.org/abs/1909.01528v1

    • [cs.CL]Rotate $\textit{King}$ to get $\textit{Queen}$: Word Relationships as Orthogonal Transformations in Embedding Space
    Kawin Ethayarajh
    http://arxiv.org/abs/1909.00504v1

    • [cs.CL]SAO WMT19 Test Suite: Machine Translation of Audit Reports
    Tereza Vojtěchová, Michal Novák, Miloš Klouček, Ondřej Bojar
    http://arxiv.org/abs/1909.01701v1

    • [cs.CL]ScisummNet: A Large Annotated Dataset and Content-Impact Models for Scientific Paper Summarization with Citation Networks
    Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev
    http://arxiv.org/abs/1909.01716v1

    • [cs.CL]Sentence-Level Content Planning and Style Specification for Neural Text Generation
    Xinyu Hua, Lu Wang
    http://arxiv.org/abs/1909.00734v1

    • [cs.CL]Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation
    Baigong Zheng, Renjie Zheng, Mingbo Ma, Liang Huang
    http://arxiv.org/abs/1909.01559v1

    • [cs.CL]Story-oriented Image Selection and Placement
    Sreyasi Nag Chowdhury, Simon Razniewski, Gerhard Weikum
    http://arxiv.org/abs/1909.00692v1

    • [cs.CL]Subword Language Model for Query Auto-Completion
    Gyuwan Kim
    http://arxiv.org/abs/1909.00599v1

    • [cs.CL]SumQE: a BERT-based Summary Quality Estimation Model
    Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki, Ion Androutsopoulos
    http://arxiv.org/abs/1909.00578v1

    • [cs.CL]Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing
    Tao Meng, Nanyun Peng, Kai-Wei Chang
    http://arxiv.org/abs/1909.01482v1

    • [cs.CL]The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
    Elena Voita, Rico Sennrich, Ivan Titov
    http://arxiv.org/abs/1909.01380v1

    • [cs.CL]The CL-SciSumm Shared Task 2018: Results and Key Insights
    Kokil Jaidka, Michihiro Yasunaga, Muthu Kumar Chandrasekaran, Dragomir Radev, Min-Yen Kan
    http://arxiv.org/abs/1909.00764v1

    • [cs.CL]The Woman Worked as a Babysitter: On Biases in Language Generation
    Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
    http://arxiv.org/abs/1909.01326v1

    • [cs.CL]Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons
    Jie Hao, Xing Wang, Shuming Shi, Jinfeng Zhang, Zhaopeng Tu
    http://arxiv.org/abs/1909.01562v1

    • [cs.CL]Towards Making a Dependency Parser See
    Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
    http://arxiv.org/abs/1909.01053v1

    • [cs.CL]Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set
    Katharina Kann, Kyunghyun Cho, Samuel R. Bowman
    http://arxiv.org/abs/1909.01522v1

    • [cs.CL]Transfer Fine-Tuning: A BERT Case Study
    Yuki Arase, Junichi Tsujii
    http://arxiv.org/abs/1909.00931v1

    • [cs.CL]Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop
    Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil
    http://arxiv.org/abs/1909.01362v1

    • [cs.CL]Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks
    Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou
    http://arxiv.org/abs/1909.00964v2

    • [cs.CR]A Generic Sharding Scheme for Blockchain Protocols
    Zuphit Fidelman
    http://arxiv.org/abs/1909.01162v1

    • [cs.CR]DeepObfusCode: Source Code Obfuscation Through Sequence-to-Sequence Networks
    Siddhartha Datta
    http://arxiv.org/abs/1909.01837v1

    • [cs.CR]Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis
    Ramtine Tofighi-Shirazi, Irina Asăvoae, Philippe Elbaz-Vincent, Thanh-Ha Le
    http://arxiv.org/abs/1909.01640v1

    • [cs.CR]HinDom: A Robust Malicious Domain Detection System based on Heterogeneous Information Network with Transductive Classification
    Xiaoqing Sun, Mingkai Tong, Jiahai Yang
    http://arxiv.org/abs/1909.01590v1

    • [cs.CR]Privacy with Surgical Robotics: Challenges in Applying Contextual Privacy Theory
    Ryan Shah, Shishir Nagaraja
    http://arxiv.org/abs/1909.01862v1

    • [cs.CR]StairDag: Cross-DAG Validation For Scalable BFT Consensus
    Quan Nguyen, Andre Cronje, Michael Kong, Alex Kampa, George Samman
    http://arxiv.org/abs/1908.11810v2

    • [cs.CR]Towards Models for Availability and Security Evaluation of Cloud Computing with Moving Target Defense
    Matheus Torquato, Marco Vieira
    http://arxiv.org/abs/1909.01392v1

    • [cs.CV]‘Skimming-Perusal’ Tracking: A Framework for Real-Time and Robust Long-term Tracking
    Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang
    http://arxiv.org/abs/1909.01840v1

    • [cs.CV]3D Bounding Box Estimation for Autonomous Vehicles by Cascaded Geometric Constraints and Depurated 2D Detections Using 3D Results
    Jiaojiao Fang, Lingtao Zhou, Guizhong Liu
    http://arxiv.org/abs/1909.01867v1

    • [cs.CV]3D Morphable Face Models — Past, Present and Future
    Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter
    http://arxiv.org/abs/1909.01815v1

    • [cs.CV]A CNN-based approach to classify cricket bowlers based on their bowling actions
    Md Nafee Al Islam, Tanzil Bin Hassan, Siamul Karim Khan
    http://arxiv.org/abs/1909.01228v1

    • [cs.CV]A Geometry-Sensitive Approach for Photographic Style Classification
    Koustav Ghosal, Mukta Prasad, Aljosa Smolic
    http://arxiv.org/abs/1909.01040v1

    • [cs.CV]A Low-Cost, Flexible and Portable Volumetric Capturing System
    Vladimiros Sterzentsenko, Antonis Karakottas, Alexandros Papachristou, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras
    http://arxiv.org/abs/1909.01207v1

    • [cs.CV]Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
    Umberto Michieli, Matteo Biasetton, Gianluca Agresti, Pietro Zanuttigh
    http://arxiv.org/abs/1909.00781v1

    • [cs.CV]Aerial multi-object tracking by detection using deep association networks
    Ajit Jadhav, Prerana Mukherjee, Vinay Kaushik, Brejesh Lall
    http://arxiv.org/abs/1909.01547v1

    • [cs.CV]An Efficient and Layout-Independent Automatic License Plate Recognition System Based on the YOLO detector
    Rayson Laroca, Luiz A. Zanlorensi, Gabriel R. Gonçalves, Eduardo Todt, William Robson Schwartz, David Menotti
    http://arxiv.org/abs/1909.01754v1

    • [cs.CV]Beyond Photo Realism for Domain Adaptation from Synthetic Data
    Kristofer Schlachter, Connor DeFanti, Sebastian Herscher, Ken Perlin, Jonathan Tompson
    http://arxiv.org/abs/1909.01960v1

    • [cs.CV]Bidirectional One-Shot Unsupervised Domain Mapping
    Tomer Cohen, Lior Wolf
    http://arxiv.org/abs/1909.01595v1

    • [cs.CV]Combining Deep Learning and Model-Based Methods for Robust Real-Time Semantic Landmark Detection
    Benjamin Naujoks, Patrick Burger, Hans-Joachim Wuensche
    http://arxiv.org/abs/1909.00733v1

    • [cs.CV]Counterfactual Depth from a Single RGB Image
    Theerasit Issaranon, Chuhang Zou, David Forsyth
    http://arxiv.org/abs/1909.00915v1

    • [cs.CV]Cross View Fusion for 3D Human Pose Estimation
    Haibo Qiu, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wenjun Zeng
    http://arxiv.org/abs/1909.01203v1

    • [cs.CV]Data Interpretation over Plots
    Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra, Pratyush Kumar
    http://arxiv.org/abs/1909.00997v1

    • [cs.CV]Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
    Junyi Pan, Xiaoguang Han, Weikai Chen, Jiapeng Tang, Kui Jia
    http://arxiv.org/abs/1909.00321v1

    • [cs.CV]Deep Morphological Neural Networks
    Yucong Shen, Xin Zhong, Frank Y. Shih
    http://arxiv.org/abs/1909.01532v1

    • [cs.CV]Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection
    Xavier Soria, Edgar Riba, Angel D. Sappa
    http://arxiv.org/abs/1909.01955v1

    • [cs.CV]Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data
    Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto Sangiovanni-Vincentelli, Kurt Keutzer, Boqing Gong
    http://arxiv.org/abs/1909.00889v1

    • [cs.CV]Dynamic Approach for Lane Detection using Google Street View and CNN
    Rama Sai Mamidala, Uday Uthkota, Mahamkali Bhavani Shankar, A. Joseph Antony, A. V. Narasimhadhan
    http://arxiv.org/abs/1909.00798v1

    • [cs.CV]Efficient Real-Time Camera Based Estimation of Heart Rate and Its Variability
    Amogh Gudi, Marian Bittner, Roelof Lochmans, Jan van Gemert
    http://arxiv.org/abs/1909.01206v1

    • [cs.CV]EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks
    Pengfei Zhang, Jianru Xue, Cuiling Lan, Wenjun Zeng, Zhanning Gao, Nanning Zheng
    http://arxiv.org/abs/1909.01939v1

    • [cs.CV]Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data
    Danila Rukhovich, Daniel Mouritzen, Ralf Kaestner, Martin Rufli, Alexander Velizhev
    http://arxiv.org/abs/1909.00713v1

    • [cs.CV]FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second
    David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero
    http://arxiv.org/abs/1909.00883v1

    • [cs.CV]Face-to-Parameter Translation for Game Character Auto-Creation
    Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu
    http://arxiv.org/abs/1909.01064v1

    • [cs.CV]Fast and Efficient Model for Real-Time Tiger Detection In The Wild
    Orest Kupyn, Dmitry Pranchuk
    http://arxiv.org/abs/1909.01122v1

    • [cs.CV]Few-Shot Generalization for Single-Image 3D Reconstruction via Priors
    Bram Wallace, Bharath Hariharan
    http://arxiv.org/abs/1909.01205v1

    • [cs.CV]Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering
    Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang
    http://arxiv.org/abs/1909.00523v1

    • [cs.CV]Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking
    Han Wu, Xueyuan Yang, Yong Yang, Guizhong Liu
    http://arxiv.org/abs/1909.00319v1

    • [cs.CV]ForkNet: Multi-branch Volumetric Semantic Completion from a Single Depth Image
    Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/1909.01106v1

    • [cs.CV]Functional Asplund’s metrics for pattern matching robust to variable lighting conditions
    Guillaume Noyel, Michel Jourlin
    http://arxiv.org/abs/1909.01585v1

    • [cs.CV]Geometry Normalization Networks for Accurate Scene Text Detection
    Youjiang Xu, Jiaqi Duan, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang
    http://arxiv.org/abs/1909.00794v1

    • [cs.CV]HarDNet: A Low Memory Traffic Network
    Ping Chao, Chao-Yang Kao, Yu-Shan Ruan, Chien-Hsiang Huang, Youn-Long Lin
    http://arxiv.org/abs/1909.00948v1

    • [cs.CV]HiCoRe: Visual Hierarchical Context-Reasoning
    Pedro H. Bugatti, Priscila T. M. Saito, Larry S. Davis
    http://arxiv.org/abs/1909.00848v1

    • [cs.CV]HishabNet: Detection, Localization and Calculation of Handwritten Bengali Mathematical Expressions
    Md Nafee Al Islam, Siamul Karim Khan
    http://arxiv.org/abs/1909.00823v1

    • [cs.CV]Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense
    Yixin Chen, Siyuan Huang, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu
    http://arxiv.org/abs/1909.01507v1

    • [cs.CV]Image Inpainting with Learnable Bidirectional Attention Maps
    Chaohao Xie, Shaohui Liu, Chao Li, Ming-Ming Cheng, Wangmeng Zuo, Xiao Liu, Shilei Wen, Errui Ding
    http://arxiv.org/abs/1909.00968v2

    • [cs.CV]Improved Image Augmentation for Convolutional Neural Networks by Copyout and CopyPairing
    Philip May
    http://arxiv.org/abs/1909.00390v1

    • [cs.CV]Iterative Clustering with Game-Theoretic Matching for Robust Multi-consistency Correspondence
    Chen Zhao, Jiaqi Yang, Ke Xian, Zhiguo Cao, Xin Li
    http://arxiv.org/abs/1909.01497v1

    • [cs.CV]Knowledge Distillation for End-to-EndPerson Search
    Bharti Munjal, Fabio Galasso, Sikandar Amin
    http://arxiv.org/abs/1909.01058v1

    • [cs.CV]Learned Semantic Multi-Sensor Depth Map Fusion
    Denys Rozumnyi, Ian Cherabier, Marc Pollefeys, Martin R. Oswald
    http://arxiv.org/abs/1909.00703v1

    • [cs.CV]Learning Visual Features Under Motion Invariance
    Alessandro Betti, Marco Gori, Stefano Melacci
    http://arxiv.org/abs/1909.00350v1

    • [cs.CV]Let’s agree to disagree: learning highly debatable multirater labelling
    Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala, Chris D. Lane, Daniel Jimenez, Lukas Haider, Thomas Varsavsky, Ryutaro Tanno, Lorna Smith, Sébastien Ourselin, Rolf H. Jäger, M. Jorge Cardoso
    http://arxiv.org/abs/1909.01891v1

    • [cs.CV]MANAS: Multi-Agent Neural Architecture Search
    Fabio Maria Carlucci, Pedro Esperanca, Rasul Tutunov, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang
    http://arxiv.org/abs/1909.01051v1

    • [cs.CV]MRI Reconstruction Using Deep Bayesian Inference
    GuanXiong Luo, Na Zhao, Wenhao Jiang, Peng Cao
    http://arxiv.org/abs/1909.01127v1

    • [cs.CV]Multi-level Attention network using text, audio and video for Depression Prediction
    Anupama Ray, Siddharth Kumar, Rutvik Reddy, Prerana Mukherjee, Ritu Garg
    http://arxiv.org/abs/1909.01417v1

    • [cs.CV]Multiple Object Tracking with Motion and Appearance Cues
    Weiqiang Li, Jiatong Mu, Guizhong Liu
    http://arxiv.org/abs/1909.00318v1

    • [cs.CV]Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles
    Zhou Lingtao, Fang Jiaojiao, Liu Guizhong
    http://arxiv.org/abs/1909.01025v1

    • [cs.CV]Online Pedestrian Group Walking Event Detection Using Spectral Analysis of Motion Similarity Graph
    Vahid Bastani, Damian Campo, Lucio Marcenaro, Carlo S. Regazzoni
    http://arxiv.org/abs/1909.01258v1

    • [cs.CV]PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
    Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong Liu
    http://arxiv.org/abs/1909.01643v1

    • [cs.CV]PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction
    Xiaoli Liu, Jianqin Yin, Huaping Liu, Yilong Yin
    http://arxiv.org/abs/1909.01818v1

    • [cs.CV]PSDNet and DPDNet: Efficient channel expansion, Depthwise-Pointwise-Depthwise Inverted Bottleneck Block
    Guoqing Li, Meng Zhang, Qianru Zhang, Ziyang Chen, Wenzhao Liu, Jiaojie Li, Xuzhao Shen, Jianjun Li, Zhenyu Zhu, Chau Yuen
    http://arxiv.org/abs/1909.01026v1

    • [cs.CV]Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds
    Shiva Azimi, Tapan K. Gandhi
    http://arxiv.org/abs/1909.00866v1

    • [cs.CV]READ: Recursive Autoencoders for Document Layout Generation
    Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, Hadar Averbuch-Elor
    http://arxiv.org/abs/1909.00302v1

    • [cs.CV]Relationship-Aware Spatial Perception Fusion for Realistic Scene Layout Generation
    Hongdong Zheng, Yalong Bai, Wei Zhang, Tao Mei
    http://arxiv.org/abs/1909.00640v1

    • [cs.CV]Rethinking the Number of Channels for the Convolutional Neural Network
    Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu
    http://arxiv.org/abs/1909.01861v1

    • [cs.CV]SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
    Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang
    http://arxiv.org/abs/1909.01616v1

    • [cs.CV]STaDA: Style Transfer as Data Augmentation
    Xu Zheng, Tejo Chalasani, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic
    http://arxiv.org/abs/1909.01056v1

    • [cs.CV]Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
    Jaehoon Choi, Taekyung Kim, Changick Kim
    http://arxiv.org/abs/1909.00589v1

    • [cs.CV]Self-Supervised Deep Depth Denoising
    Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis, Spyridon Thermos, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, Petros Daras
    http://arxiv.org/abs/1909.01193v2

    • [cs.CV]Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
    Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim
    http://arxiv.org/abs/1909.00597v1

    • [cs.CV]Semantic Segmentation of Panoramic Images Using a Synthetic Dataset
    Yuanyou Xu, Kaiwei Wang, Kailun Yang, Dongming Sun, Jia Fu
    http://arxiv.org/abs/1909.00532v1

    • [cs.CV]Semantic filtering through deep source separation on microscopy images
    Avelino Javer, Jens Rittscher
    http://arxiv.org/abs/1909.00691v1

    • [cs.CV]Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets
    Yang Li, Jianhe Yuan, Zhiqun Zhao, Hao Sun, Zhihai He
    http://arxiv.org/abs/1909.01542v1

    • [cs.CV]This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity
    David Haldimann, Hermann Blum, Roland Siegwart, Cesar Cadena
    http://arxiv.org/abs/1909.00676v1

    • [cs.CV]Towards Flops-constrained Face Recognition
    Yu Liu, Guanglu Song, Manyuan Zhang, Jihao Liu, Yucong Zhou, Junjie Yan
    http://arxiv.org/abs/1909.00632v1

    • [cs.CV]Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
    Tae Ha Park, Sumant Sharma, Simone D’Amico
    http://arxiv.org/abs/1909.00392v1

    • [cs.CV]Training-Time-Friendly Network for Real-Time Object Detection
    Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
    http://arxiv.org/abs/1909.00700v1

    • [cs.CV]Translating Visual Art into Music
    Maximilian Müller-Eberstein, Nanne van Noord
    http://arxiv.org/abs/1909.01218v1

    • [cs.CV]Unsupervised Video Depth Estimation Based on Ego-motion and Disparity Consensus
    Lingtao Zhou, Jiaojiao Fang, Guizhong Liu
    http://arxiv.org/abs/1909.01028v1

    • [cs.CV]Video Affective Effects Prediction with Multi-modal Fusion and Shot-Long Temporal Context
    Jie Zhang, Yin Zhao, Longjun Cai, Chaoping Tu, Wu Wei
    http://arxiv.org/abs/1909.01763v1

    • [cs.CV]Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
    Guha Balakrishnan, Adrian V. Dalca, Amy Zhao, John V. Guttag, Fredo Durand, William T. Freeman
    http://arxiv.org/abs/1909.00475v1

    • [cs.CV]White-Box Evaluation of Fingerprint Matchers
    Steven A. Grosz, Joshua J. Engelsma, Nicholas G. Paulter Jr., Anil K. Jain
    http://arxiv.org/abs/1909.00799v1

    • [cs.CY]Analysis of Bias in Gathering Information Between User Attributes in News Application
    Yoshifumi Seki, Mitsuo Yoshida
    http://arxiv.org/abs/1909.00554v1

    • [cs.CY]Cross-Cutting Political Awareness through Diverse News Recommendations
    Bibek Paudel, Abraham Bernstein
    http://arxiv.org/abs/1909.01495v1

    • [cs.CY]CrowdOS: A Ubiquitous Operating System for Crowdsourcing and Mobile Crowd Sensing
    Yimeng Liu, Zhiwen Yu, Bin Guo, Qi Han, Jiangbin Su, Jiahao Liao
    http://arxiv.org/abs/1909.00805v1

    • [cs.CY]Effective Strategies for Using Hashtags in Online Communication
    Solomiia Fedushko, Sofia Kolos
    http://arxiv.org/abs/1909.01474v1

    • [cs.CY]Epistemological Issues in Educational Data Mining
    Esdras Lins Bispo Jr
    http://arxiv.org/abs/1909.01806v1

    • [cs.CY]Experiences from Using Gamification and IoT-based Educational Tools in High Schools towards Energy Savings
    Federica Paganelli, Georgios Mylonas, Giovanni Cuffaro, Ilaria Nesi
    http://arxiv.org/abs/1909.00699v1

    • [cs.CY]Learning Real Estate Automated Valuation Models from Heterogeneous Data Sources
    Francesco Bergadano, Roberto Bertilone, Daniela Paolotti, Giancarlo Ruffo
    http://arxiv.org/abs/1909.00704v1

    • [cs.CY]Modelling the Behavior Classification of Social News Aggregations Users
    Solomia Fedushko, Olha Trach, Zoryana Kunch, Yaryna Turchyn, Ulyana Yarka
    http://arxiv.org/abs/1909.01677v1

    • [cs.CY]Under the Conditions of Non-Agenda Ownership: Social Media Users in the 2019 Ukrainian Presidential Elections Campaign
    Artem Zakharchenko, Yuliia Maksimtsova, Valentyn Iurchenko, Viktoriya Shevchenko, Solomiia Fedushko
    http://arxiv.org/abs/1909.01681v1

    • [cs.DB]Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML
    Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Gowdal, Matteo Interlandi, Alekh Jindal, Kostantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu
    http://arxiv.org/abs/1909.00084v1

    • [cs.DB]Local Embeddings for Relational Data Integration
    Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan
    http://arxiv.org/abs/1909.01120v1

    • [cs.DB]Los Angeles Metro Bus Data Analysis Using GPS Trajectory and Schedule Data (Demo Paper)
    Kien Nguyen, Jingyun Yang, Yijun Lin, Jianfa Lin, Yao-Yi Chiang, Cyrus Shahabi
    http://arxiv.org/abs/1909.00955v1

    • [cs.DB]Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs — The Case of Wikidata
    Michael Luggen, Djellel Difallah, Cristina Sarasua, Gianluca Demartini, Philippe Cudré-Mauroux
    http://arxiv.org/abs/1909.01109v1

    • [cs.DC]Algorithm-Based Fault Tolerance for Parallel Stencil Computations
    Aurélien Cavelan, Florina M. Ciorba
    http://arxiv.org/abs/1909.00709v1

    • [cs.DC]An Event-Driven Approach to Serverless Seismic Imaging in the Cloud
    Philipp A. Witte, Mathias Louboutin, Henryk Modzelewski, Charles Jones, James Selvage, Felix J. Herrmann
    http://arxiv.org/abs/1909.01279v1

    • [cs.DC]Asynchronous Time-Parallel Method based on Laplace Transform
    Frederic Magoules, Qinmeng Zou
    http://arxiv.org/abs/1909.01473v1

    • [cs.DC]Dispersion of Mobile Robots in the Global Communication Model
    Ajay D. Kshemkalyani, Anisur Rahaman Molla, Gokarna Sharma
    http://arxiv.org/abs/1909.01957v1

    • [cs.DC]EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
    Lei He
    http://arxiv.org/abs/1909.00155v1

    • [cs.DC]Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation
    Junya Ono, Masao Utiyama, Eiichiro Sumita
    http://arxiv.org/abs/1909.00562v1

    • [cs.DC]Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs
    Julia Dubenskaya, Stanislav Polyakov
    http://arxiv.org/abs/1909.00394v1

    • [cs.DC]Large Scale Parallelization Using File-Based Communications
    Chansup Byun, Jeremy Kepner, William Arcand, David Bestor, Bill Bergeron, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Anna Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
    http://arxiv.org/abs/1909.01241v1

    • [cs.DC]Shortest Paths in a Hybrid Network Model
    John Augustine, Kristian Hinnenthal, Fabian Kuhn, Christian Scheideler, Philipp Schneider
    http://arxiv.org/abs/1909.01597v1

    • [cs.DL]Lost or found? Discovering data needed for research
    Kathleen Gregory, Paul Groth, Andrea Scharnhorst, Sally Wyatt
    http://arxiv.org/abs/1909.00464v1

    • [cs.DS]Almost Optimal Tensor Sketch
    Thomas D. Ahle, Jakob B. T. Knudsen
    http://arxiv.org/abs/1909.01821v1

    • [cs.DS]Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections
    Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi, Tiziano Bianchi, Enrico Magli
    http://arxiv.org/abs/1909.01802v1

    • [cs.DS]De(con)struction of the lazy-F loop: improving performance of Smith Waterman alignment
    Roman Snytsar
    http://arxiv.org/abs/1909.00899v1

    • [cs.DS]Faster Algorithms for Edge Connectivity via Random $2$-Out Contractions
    Mohsen Ghaffari, Krzysztof Nowicki, Mikkel Thorup
    http://arxiv.org/abs/1909.00844v1

    • [cs.DS]Stochastic Submodular Probing with State-Dependent Costs
    Shaojie Tang
    http://arxiv.org/abs/1909.01795v1

    • [cs.ET]Mapping Spiking Neural Networks to Neuromorphic Hardware
    Adarsha Balaji, Anup Das, Yuefeng Wu, Khanh Huynh, Francesco Dell’Anna, Giacomo Indiveri, Jeffrey L. Krichmar, Nikil Dutt, Siebren Schaafsma, Francky Catthoor
    http://arxiv.org/abs/1909.01843v1

    • [cs.FL]Average-based Robustness for Continuous-Time Signal Temporal Logic
    Noushin Mehdipour, Cristian-Ioan Vasile, Calin Belta
    http://arxiv.org/abs/1909.00898v1

    • [cs.FL]On the k-synchronizability for mailbox systems
    Cinzia Di Giusto, Laetitia Laversa, Etienne Lozes
    http://arxiv.org/abs/1909.01627v1

    • [cs.GR]Topologically-Guided Color Image Enhancement
    Junyi Tu, Paul Rosen
    http://arxiv.org/abs/1909.01456v1

    • [cs.GT]Gerrymandering: A Briber’s Perspective
    Palash Dey
    http://arxiv.org/abs/1909.01583v1

    • [cs.HC]A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems
    Mario Amrehn, Stefan Steidl, Reinier Kortekaas, Maddalena Strumia, Markus Weingarten, Markus Kowarschik, Andreas Maier
    http://arxiv.org/abs/1909.00482v1

    • [cs.HC]Defining and Adopting an End User Computing Policy: A Case Study
    Roger Turner
    http://arxiv.org/abs/1909.00855v1

    • [cs.HC]Detecting Compromised Implicit Association Test Results Using Supervised Learning
    Brendon Boldt, Zack While, Eric Breimer
    http://arxiv.org/abs/1909.01304v1

    • [cs.HC]Help, Anna! Visual Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning
    Khanh Nguyen, Hal Daumé III
    http://arxiv.org/abs/1909.01871v1

    • [cs.HC]Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers
    Baocheng Geng, Qunwei Li, Pramod K. Varshney
    http://arxiv.org/abs/1909.01463v1

    • [cs.HC]Social Networks as a Tool for a Higher Education Institution Image Creation
    Olha Anisimova, Valeriia Vasylenko, Solomia Fedushko
    http://arxiv.org/abs/1909.01678v1

    • [cs.HC]Understanding Continuous and Pleasant Linear Sensations on the Forearm from a Sequential Discrete Lateral Skin-Slip Haptic Device
    Cara M. Nunez, Sophia R. Williams, Allison M. Okamura, Heather Culbertson
    http://arxiv.org/abs/1909.01312v1

    • [cs.IR]A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation
    Liliana Ardissono, Noemi Mauro
    http://arxiv.org/abs/1909.01601v1

    • [cs.IR]A Deep, Forgetful Novelty-Seeking Movie Recommender Model
    Ruomu Zou
    http://arxiv.org/abs/1909.01811v1

    • [cs.IR]Affect Enriched Word Embeddings for News Information Retrieval
    Tommaso Teofili, Niyati Chhaya
    http://arxiv.org/abs/1909.01772v1

    • [cs.IR]Algorithms and System Architecture for Immediate Personalized News Recommendations
    Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, Yoshifumi Seki
    http://arxiv.org/abs/1909.01005v1

    • [cs.IR]All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation
    Diego Monti, Giuseppe Rizzo, Maurizio Morisio
    http://arxiv.org/abs/1909.00687v1

    • [cs.IR]Employ Multimodal Machine Learning for Content quality analysis
    Eric Du, Xiaoyong Li
    http://arxiv.org/abs/1909.01793v1

    • [cs.IR]Finding Salient Context based on Semantic Matching for Relevance Ranking
    Yuanyuan Qi, Jiayue Zhang, Weiran Xu, Jun Guo
    http://arxiv.org/abs/1909.01165v1

    • [cs.IR]Heterogeneous Collaborative Filtering
    Yifang Liu, Zhentao Xu, Cong Hui, Yi Xuan, Jessie Chen, Yuanming Shan
    http://arxiv.org/abs/1909.01727v1

    • [cs.IR]Interdependency between the Stock Market and Financial News
    EunJeong Hwang, Yong-Hyuk Kim
    http://arxiv.org/abs/1909.00344v1

    • [cs.IR]Know2Look: Commonsense Knowledge for Visual Search
    Sreyasi Nag Chowdhury, Niket Tandon, Gerhard Weikum
    http://arxiv.org/abs/1909.00749v1

    • [cs.IR]Named Entity Recognition Only from Word Embeddings
    Ying Luo, Hai Zhao, Junlang Zhan
    http://arxiv.org/abs/1909.00164v1

    • [cs.IR]SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
    Fuyu Lv, Taiwei Jin, Changlong Yu, Fei Sun, Quan Lin, Keping Yang, Wilfred Ng
    http://arxiv.org/abs/1909.00385v1

    • [cs.IT]A Note on the Probability of Rectangles for Correlated Binary Strings
    Or Ordentlich, Yury Polyanskiy, Ofer Shayevitz
    http://arxiv.org/abs/1909.01221v1

    • [cs.IT]A Tight Uniform Continuity Bound for Equivocation
    Mohammad A. Alhejji, Graeme Smith
    http://arxiv.org/abs/1909.00787v1

    • [cs.IT]Complexity analysis of the Controlled Loosening-up (CLuP) algorithm
    Mihailo Stojnic
    http://arxiv.org/abs/1909.01190v2

    • [cs.IT]Controlled Loosening-up (CLuP) — achieving exact MIMO ML in polynomial time
    Mihailo Stojnic
    http://arxiv.org/abs/1909.01175v1

    • [cs.IT]Deep Learning-Aided Tabu Search Detection for Large MIMO Systems
    NhanThanh Nguyen, Kyungchun Lee
    http://arxiv.org/abs/1909.01683v1

    • [cs.IT]Design of Ambient Backscatter Training for Retrodirective Wireless Power Transfer
    Sahar Idrees, Xiangyun Zhou, Salman Durrani, Dusit Niyato
    http://arxiv.org/abs/1909.00631v1

    • [cs.IT]Efficient Resource Allocation for Relay-Assisted Computation Offloading in Mobile Edge Computing
    Xihan Chen, Yunlong Cai, Qingjiang Shi, Min-Jian Zhao, Benoit Champage, Lajos Hanzo
    http://arxiv.org/abs/1909.00478v1

    • [cs.IT]Joint Radar-Communications Strategies for Autonomous Vehicles
    Dingyou Ma, Nir Shlezinger, Tianyao Huang, Yimin Liu, Yonina C. Eldar
    http://arxiv.org/abs/1909.01729v1

    • [cs.IT]Local Partial Zero-Forcing Precoding for Cell-Free Massive MIMO
    Giovanni Interdonato, Marcus Karlsson, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/1909.01034v2

    • [cs.IT]Low-Complexity Linear Equalizers for OTFS Exploiting Two-Dimensional Fast Fourier Transform
    Junqiang Cheng, Hui Gao, Wenjun Xu, Zhisong Bie, Yueming Lu
    http://arxiv.org/abs/1909.00524v1

    • [cs.IT]Non-uniform recovery guarantees for binary measurements and infinite-dimensional compressed sensing
    Laura Thesing, Anders Christian Hansen
    http://arxiv.org/abs/1909.01143v1

    • [cs.IT]One-Way URLLC with Truncated Channel Inversion Power Control
    Chunhui Li, Shihao Yan, Nan Yang, Xiangyun Zhou, Riqing Chen
    http://arxiv.org/abs/1909.00908v1

    • [cs.IT]Optimal $k$-thresholding algorithms for sparse optimization problems
    Yun-Bin Zhao
    http://arxiv.org/abs/1909.00717v1

    • [cs.IT]Optimal Causal Rate-Constrained Sampling of the Wiener Process
    Nian Guo, Victoria Kostina
    http://arxiv.org/abs/1909.01317v1

    • [cs.IT]Over-the-Air Computation Systems: Optimization, Analysis and Scaling Laws
    Wanchun Liu, Xin Zang
    http://arxiv.org/abs/1909.00329v1

    • [cs.IT]Private and Secure Distributed Matrix Multiplication with Flexible Communication Load
    Malihe Aliasgari, Osvaldo Simeone, Joerg Kliewer
    http://arxiv.org/abs/1909.00407v1

    • [cs.IT]Rate-Memory Trade-off for Multi-access Coded Caching with Uncoded Placement
    Kota Srinivas Reddy, Nikhil Karamchandani
    http://arxiv.org/abs/1909.01756v1

    • [cs.IT]Reliability and Local Delay in Wireless Networks: Does Bandwidth Partitioning Help?
    Sanket Sanjay Kalamkar
    http://arxiv.org/abs/1909.00913v1

    • [cs.IT]Reliable Communications Over Dependent Fading Wireless Channels
    Karl-Ludwig Besser, Eduard A. Jorswieck
    http://arxiv.org/abs/1909.01415v1

    • [cs.IT]Round Complexity of Common Randomness Generation: The Amortized Setting
    Noah Golowich, Madhu Sudan
    http://arxiv.org/abs/1909.00323v1

    • [cs.IT]Secure Transmission Strategy for Intelligent Reflecting Surface Enhanced Wireless System
    Biqian Feng, Yongpeng Wu, Mengfan Zheng
    http://arxiv.org/abs/1909.00629v1

    • [cs.IT]Short-packet Transmission via Variable-Length Codes in the Presence of Noisy Stop Feedback
    Johan Östman, Rahul Devassy, Giuseppe Durisi, Erik G. Ström
    http://arxiv.org/abs/1909.01049v1

    • [cs.IT]Starting CLuP with polytope relaxation
    Mihailo Stojnic
    http://arxiv.org/abs/1909.01201v1

    • [cs.IT]Topological Coding and Topological Matrices Toward Network Overall Security
    Bing Yao, Meimei Zhao, Xiaohui Zhang, Yarong Mu, Yirong Sun, Mingjun Zhang, Sihua Yang, Fei Ma, Jing Su, Xiaomin Wang, Hongyu Wang, Hui Sun
    http://arxiv.org/abs/1909.01587v1

    • [cs.LG]A Constructive Approach for Data-Driven Randomized Learning of Feedforward Neural Networks
    Grzegorz Dudek
    http://arxiv.org/abs/1909.01961v1

    • [cs.LG]A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
    Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang
    http://arxiv.org/abs/1909.00868v1

    • [cs.LG]Active Collaborative Sensing for Energy Breakdown
    Yiling Jia, Nipun Batra, Hongning Wang, Kamin Whitehouse
    http://arxiv.org/abs/1909.00525v1

    • [cs.LG]An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data
    Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban
    http://arxiv.org/abs/1909.00693v1

    • [cs.LG]Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning algorithms
    Matthia Sabatelli, Gilles Louppe, Pierre Geurts, Marco A. Wiering
    http://arxiv.org/abs/1909.01779v1

    • [cs.LG]Augmented Memory Networks for Streaming-Based Active One-Shot Learning
    Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
    http://arxiv.org/abs/1909.01757v1

    • [cs.LG]Beyond Human-Level Accuracy: Computational Challenges in Deep Learning
    Joel Hestness, Newsha Ardalani, Greg Diamos
    http://arxiv.org/abs/1909.01736v1

    • [cs.LG]Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings
    Pengfei Sun, Gopala K. Anumanchipalli, Edward F. Chang
    http://arxiv.org/abs/1909.01401v1

    • [cs.LG]Causal Discovery by Kernel Intrinsic Invariance Measure
    Zhitang Chen, Shengyu Zhu, Yue Liu, Tim Tse
    http://arxiv.org/abs/1909.00513v1

    • [cs.LG]Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
    Arun Verma, Manjesh K. hanawal, Arun Rajkumar, Raman Sankaran
    http://arxiv.org/abs/1909.01504v1

    • [cs.LG]Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures
    Jordan Hoffmann, Louis Maestrati, Yoshihide Sawada, Jian Tang, Jean Michel Sellier, Yoshua Bengio
    http://arxiv.org/abs/1909.00949v1

    • [cs.LG]Deep Equilibrium Models
    Shaojie Bai, J. Zico Kolter, Vladlen Koltun
    http://arxiv.org/abs/1909.01377v1

    • [cs.LG]Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs
    Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander Smola, Zheng Zhang
    http://arxiv.org/abs/1909.01315v1

    • [cs.LG]DeepHealth: Deep Learning for Health Informatics
    Gloria Hyun-Jung Kwak, Pan Hui
    http://arxiv.org/abs/1909.00384v1

    • [cs.LG]Differentially Private Objective Perturbation: Beyond Smoothness and Convexity
    Seth Neel, Aaron Roth, Giuseppe Vietri, Zhiwei Steven Wu
    http://arxiv.org/abs/1909.01783v1

    • [cs.LG]Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
    Zhanghan Ke, Daoye Wang, Qiong Yan, Jimmy Ren, Rynson W. H. Lau
    http://arxiv.org/abs/1909.01804v1

    • [cs.LG]Efron-Stein PAC-Bayesian Inequalities
    Ilja Kuzborskij, Csaba Szepesvári
    http://arxiv.org/abs/1909.01931v1

    • [cs.LG]Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks
    Sungho Shin, Yoonho Boo, Wonyong Sung
    http://arxiv.org/abs/1909.01688v1

    • [cs.LG]Empirical Hypothesis Space Reduction
    Akihiro Yabe, Takanori Maehara
    http://arxiv.org/abs/1909.01576v1

    • [cs.LG]Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records
    M. Tarik Altuncu, Eloise Sorin, Joshua D. Symons, Erik Mayer, Sophia N. Yaliraki, Francesca Toni, Mauricio Barahona
    http://arxiv.org/abs/1909.00183v1

    • [cs.LG]Further results on structured regression for multi-scale networks
    Milan Bašić, Branko Arsić, Zoran Obradović
    http://arxiv.org/abs/1909.00853v1

    • [cs.LG]GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
    Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
    http://arxiv.org/abs/1909.00047v1

    • [cs.LG]Generalization in Transfer Learning
    Suzan Ece Ada, Emre Ugur, H. Levent Akin
    http://arxiv.org/abs/1909.01331v1

    • [cs.LG]Generalized Integrated Gradients: A practical method for explaining diverse ensembles
    John Merrill, Geoff Ward, Sean Kamkar, Jay Budzik, Douglas Merrill
    http://arxiv.org/abs/1909.01869v1

    • [cs.LG]Graph Representation Learning: A Survey
    Fenxiao Chen, Yuncheng Wang, Bin Wang, C. -C. Jay Kuo
    http://arxiv.org/abs/1909.00958v1

    • [cs.LG]Guided Random Forest and its application to data approximation
    Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta
    http://arxiv.org/abs/1909.00659v1

    • [cs.LG]High-Fidelity Extraction of Neural Network Models
    Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, Nicolas Papernot
    http://arxiv.org/abs/1909.01838v1

    • [cs.LG]Improving Disentangled Representation Learning with the Beta Bernoulli Process
    Prashnna Kumar Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horacek, John Sapp, Linwei Wang
    http://arxiv.org/abs/1909.01839v1

    • [cs.LG]LCA: Loss Change Allocation for Neural Network Training
    Janice Lan, Rosanne Liu, Hattie Zhou, Jason Yosinski
    http://arxiv.org/abs/1909.01440v1

    • [cs.LG]LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games
    Leonard Adolphs, Thomas Hofmann
    http://arxiv.org/abs/1909.01646v1

    • [cs.LG]Learning Distributions Generated by One-Layer ReLU Networks
    Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi
    http://arxiv.org/abs/1909.01812v1

    • [cs.LG]Learning sparse representations in reinforcement learning
    Jacob Rafati, David C. Noelle
    http://arxiv.org/abs/1909.01575v1

    • [cs.LG]Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training
    Giannis Karamanolakis, Daniel Hsu, Luis Gravano
    http://arxiv.org/abs/1909.00415v1

    • [cs.LG]Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis
    Tyler L. Hayes, Christopher Kanan
    http://arxiv.org/abs/1909.01520v1

    • [cs.LG]Logic and the $2$-Simplicial Transformer
    James Clift, Dmitry Doryn, Daniel Murfet, James Wallbridge
    http://arxiv.org/abs/1909.00668v1

    • [cs.LG]Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
    Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team
    http://arxiv.org/abs/1909.01387v1

    • [cs.LG]Metric Learning for Adversarial Robustness
    Chengzhi Mao, Ziyuan Zhong, Junfeng Yang, Carl Vondrick, Baishakhi Ray
    http://arxiv.org/abs/1909.00900v1

    • [cs.LG]Minimizing the Societal Cost of Credit Card Fraud with Limited and Imbalanced Data
    Samuel Showalter, Zhixing Wu
    http://arxiv.org/abs/1909.01486v1

    • [cs.LG]Mixture Probabilistic Principal GeodesicAnalysis
    Youshan Zhang, Jiarui Xing, Miaomiao Zhang
    http://arxiv.org/abs/1909.01412v1

    • [cs.LG]Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
    Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R Reiss, Vijay Bommireddipalli
    http://arxiv.org/abs/1909.01606v1

    • [cs.LG]Multimodal Deep Learning for Mental Disorders Prediction from Audio Speech Samples
    Habibeh Naderi, Behrouz Haji Soleimani, Sheri Rempel, Stan Matwin, Rudolf Uher
    http://arxiv.org/abs/1909.01067v1

    • [cs.LG]Network Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
    Quanyu Dai, Xiao Shen, Xiao-Ming Wu, Dan Wang
    http://arxiv.org/abs/1909.01541v1

    • [cs.LG]On the Downstream Performance of Compressed Word Embeddings
    Avner May, Jian Zhang, Tri Dao, Christopher Ré
    http://arxiv.org/abs/1909.01264v1

    • [cs.LG]Parameter Estimation with the Ordered $\ell_{2}$ Regularization via an Alternating Direction Method of Multipliers
    Mahammad Humayoo, Xueqi Cheng
    http://arxiv.org/abs/1909.01519v1

    • [cs.LG]Personalizing Smartwatch Based Activity Recognition Using Transfer Learning
    Karanpreet Singh, Rajen Bhatt
    http://arxiv.org/abs/1909.01202v1

    • [cs.LG]Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control
    Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui
    http://arxiv.org/abs/1909.01506v1

    • [cs.LG]Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions
    Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
    http://arxiv.org/abs/1909.00590v1

    • [cs.LG]Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent
    Nicholas J. A. Harvey, Christopher Liaw, Sikander Randhawa
    http://arxiv.org/abs/1909.00843v1

    • [cs.LG]Tensor Analysis with n-Mode Generalized Difference Subspace
    Bernardo B. Gatto, Eulanda M. dos Santos, Alessandro L. Koerich, Kazuhiro Fukui, Waldir S. S. Junior
    http://arxiv.org/abs/1909.01954v1

    • [cs.LG]Topics to Avoid: Demoting Latent Confounds in Text Classification
    Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov
    http://arxiv.org/abs/1909.00453v1

    • [cs.LG]Towards Automatic Detection of Misinformation in Online Medical Videos
    Rui Hou, Verónica Pérez-Rosas, Stacy Loeb, Rada Mihalcea
    http://arxiv.org/abs/1909.01543v1

    • [cs.LG]Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
    Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto
    http://arxiv.org/abs/1909.01185v1

    • [cs.LG]Transfer Learning Between Related Tasks Using Expected Label Proportions
    Matan Ben Noach, Yoav Goldberg
    http://arxiv.org/abs/1909.00430v1

    • [cs.LG]Understanding Bias in Machine Learning
    Jindong Gu, Daniela Oelke
    http://arxiv.org/abs/1909.01866v1

    • [cs.LG]What Happens on the Edge, Stays on the Edge: Toward Compressive Deep Learning
    Yang Li, Thomas Strohmer
    http://arxiv.org/abs/1909.01539v1

    • [cs.LG]rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
    Adam Stooke, Pieter Abbeel
    http://arxiv.org/abs/1909.01500v1

    • [cs.LO]Proof-Based Synthesis of Sorting Algorithms Using Multisets in Theorema
    Isabela Drămnesc, Tudor Jebelean
    http://arxiv.org/abs/1909.01747v1

    • [cs.MA]Modelling Bushfire Evacuation Behaviours
    Joel Robertson
    http://arxiv.org/abs/1909.00991v1

    • [cs.MM]Robust Invisible Video Watermarking with Attention
    Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
    http://arxiv.org/abs/1909.01285v1

    • [cs.MM]VISIR: Visual and Semantic Image Label Refinement
    Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, Gerhard Weikum
    http://arxiv.org/abs/1909.00741v1

    • [cs.NE]Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State Network
    Niklas Heim, James E. Avery
    http://arxiv.org/abs/1909.01709v1

    • [cs.NE]Distance transform regression for spatially-aware deep semantic segmentation
    Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre
    http://arxiv.org/abs/1909.01671v1

    • [cs.NE]Estimating Approximation Errors of Elitist Evolutionary Algorithms
    Cong Wang, Yu Chen, Jun He, Chengwang Xie
    http://arxiv.org/abs/1909.00894v1

    • [cs.NE]Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks
    Sayantan Auddy, Sven Magg, Stefan Wermter
    http://arxiv.org/abs/1909.00732v1

    • [cs.NE]Triclustering of Gene Expression Microarray Data Using Coarse-Grained Parallel Genetic Algorithm
    Shubhankar Mohapatra, Moumita Sarkar, Anjali Mohapatra, Bhawani Sankar Biswal
    http://arxiv.org/abs/1909.00237v1

    • [cs.NI]Edge Intelligence: the Confluence of Edge Computing and Artificial Intelligence
    Shuiguang Deng, Hailiang Zhao, Jianwei Yin, Schahram Dustdar, Albert Y. Zomaya
    http://arxiv.org/abs/1909.00560v1

    • [cs.NI]Fog Computing Architectures: a Reference for Practitioners
    Mattia Antonini, Massimo Vecchio, Fabio Antonelli
    http://arxiv.org/abs/1909.01020v1

    • [cs.NI]Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud
    Ashkan Yousefpour, Siddartha Devic, Brian Q. Nguyen, Aboudy Kreidieh, Alan Liao, Alexandre M. Bayen, Jason P. Jue
    http://arxiv.org/abs/1909.00995v1

    • [cs.NI]Q-DATA: Enhanced Traffic Flow Monitoring in Software-Defined Networks applying Q-learning
    Trung V. Phan, Syed Tasnimul Islam, Tri Gia Nguyen, Thomas Bauschert
    http://arxiv.org/abs/1909.01544v1

    • [cs.RO]An Abstraction-Free Method for Multi-Robot Temporal Logic Optimal Control Synthesis
    Xusheng Luo, Yiannis Kantaros, Michael M. Zavlanos
    http://arxiv.org/abs/1909.00526v1

    • [cs.RO]Combined Task and Motion Planning for a Dual-arm Robot to Use a Suction Cup Tool
    Hao Chen, Weiwei Wan, Kensuke Harada
    http://arxiv.org/abs/1909.00192v1

    • [cs.RO]Contact Inertial Odometry: Collisions are your Friend
    Thomas Lew, Tomoki Emmei, David D. Fan, Tara Bartlett, Angel Santamaria-Navarro, Rohan Thakker, Ali-akbar Agha-mohammadi
    http://arxiv.org/abs/1909.00079v1

    • [cs.RO]Exploration Without Global Consistency Using Local Volume Consolidation
    Titus Cieslewski, Andreas Ziegler, Davide Scaramuzza
    http://arxiv.org/abs/1909.01423v1

    • [cs.RO]Federated Imitation Learning: A Privacy Considered Imitation Learning Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
    Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu
    http://arxiv.org/abs/1909.00895v1

    • [cs.RO]From perception to control: an autonomous driving system for a formula student driverless car
    Tairan Chen, Zirui Li, Yiting He, Zewen Xu, Zhe Yan, Huiqian Li
    http://arxiv.org/abs/1909.00119v1

    • [cs.RO]Functional advantages of an adaptive Theory of Mind for robotics: a review of current architectures
    Francesca Bianco, Dimitri Ognibene
    http://arxiv.org/abs/1909.00193v1

    • [cs.RO]Learning User Preferences for Trajectories from Brain Signals
    Henrich Kolkhorst, Wolfram Burgard, Michael Tangermann
    http://arxiv.org/abs/1909.01039v1

    • [cs.RO]Learning a Spatial Field in Minimum Time with a Team of Robots
    Varun Suryan, Pratap Tokekar
    http://arxiv.org/abs/1909.01895v1

    • [cs.RO]Learning to gesticulate by observation using a deep generative approach
    Unai Zabala, Igor Rodriguez, José María Martínez-Otzeta, Elena Lazkano
    http://arxiv.org/abs/1909.01768v1

    • [cs.RO]Model-free Visual Control for Continuum Robot Manipulators via Orientation Adaptation
    Mrinal Verghese, Florian Richter, Aaron Gunn, Phil Weissbrod, Michael Yip
    http://arxiv.org/abs/1909.00450v1

    • [cs.RO]Multi-DoF Time Domain Passivity Approach based Drift Compensation for Telemanipulation
    Andre Coelho, Christian Ott, Harsimran Singh, Fernando Lizarralde, Konstantin Kondak
    http://arxiv.org/abs/1909.01603v1

    • [cs.RO]On Maximizing Lateral Clearance of an Autonomous Vehicle in Urban Environments
    Francesco Seccamonte, Juraj Kabzan, Emilio Frazzoli
    http://arxiv.org/abs/1909.00342v1

    • [cs.RO]The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
    Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner
    http://arxiv.org/abs/1909.01300v1

    • [cs.RO]Transferring Adaptive Theory of Mind to social robots: insights from developmental psychology to robotics
    Francesca Bianco, Dimitri Ognibene
    http://arxiv.org/abs/1909.00197v1

    • [cs.RO]miniSAM: A Flexible Factor Graph Non-linear Least Squares Optimization Framework
    Jing Dong, Zhaoyang Lv
    http://arxiv.org/abs/1909.00903v1

    • [cs.RO]qiBullet, a Bullet-based simulator for the Pepper and NAO robots
    Maxime Busy, Maxime Caniot
    http://arxiv.org/abs/1909.00779v2

    • [cs.SD]An efficient and perceptually motivated auditory neural encoding and decoding algorithm for spiking neural networks
    Zihan Pan, Yansong Chua, Jibin Wu, Malu Zhang, Haizhou Li, Eliathamby Ambikairajah
    http://arxiv.org/abs/1909.01302v2

    • [cs.SD]Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed
    Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis Bach
    http://arxiv.org/abs/1909.01174v1

    • [cs.SD]Multiresolution analysis (discrete wavelet transform) through Daubechies family for emotion recognition in speech
    Damian Campo, Manuela Bastidas, Olga Lucía Quintero
    http://arxiv.org/abs/1909.01265v1

    • [cs.SD]On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
    Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen
    http://arxiv.org/abs/1909.01019v1

    • [cs.SE]A Bug or a Suggestion? An Automatic Way to Label Issues
    Yuxiang Zhu, Minxue Pan, Yu Pei, Tian Zhang
    http://arxiv.org/abs/1909.00934v1

    • [cs.SE]Targeted Example Generation for Compilation Errors
    Umair Z. Ahmed, Renuka Sindhgatta, Nisheeth Srivastava, Amey Karkare
    http://arxiv.org/abs/1909.00769v1

    • [cs.SI]Can A User Guess What Her Followers Want?
    Abir De, Adish Singla, Utkarsh Upadhyay, Manuel Gomez-Rodriguez
    http://arxiv.org/abs/1909.00440v1

    • [cs.SI]How much research shared on Facebook is hidden from public view? A comparison of public and private online activity around PLOS ONE papers
    Asura Enkhbayar, Stefanie Haustein, Germana Barata, Juan Pablo Alperin
    http://arxiv.org/abs/1909.01476v1

    • [cs.SI]Identifying the Hierarchical Influence Structure behind Smart Sanctions using Network Analysis
    Ryohei Hisano, Hiroshi Iyetomi, Takayuki Mizuno
    http://arxiv.org/abs/1909.00847v1

    • [cs.SI]Impact of Social Influence on Adoption Behavior: An Online Controlled Experimental Evaluation
    Soumajyoti Sarkar, Ashkan Aleali, Paulo Shakarian, Mika Armenta, Danielle Sanchez, Kiran Lakkaraju
    http://arxiv.org/abs/1909.01409v1

    • [cs.SI]Into the Battlefield: Quantifying and Modeling Intra-community Conflicts in Online Discussion
    Subhabrata Dutta, Gunkirat Kaur, Shreyans Mongia, Arpan Mukherjee, Diankar Das, Tanmoy Chakraborty
    http://arxiv.org/abs/1909.01200v1

    • [cs.SI]On Privacy of Socially Contagious Attributes
    Aria Rezaei, Jie Gao
    http://arxiv.org/abs/1909.00543v1

    • [cs.SI]Publishing Community-Preserving Attributed Social Graphs with a Differential Privacy Guarantee
    Xihui Chen, Sjouke Mauw, Yunior Ramírez-Cruz
    http://arxiv.org/abs/1909.00280v1

    • [cs.SI]Status in flux: Unequal alliances can create power vacuums
    John Bryden, Eric Silverman, Simon T. Powers
    http://arxiv.org/abs/1909.01826v1

    • [cs.SI]War pact model of shrinking networks
    Luka Naglić, Lovro Šubelj
    http://arxiv.org/abs/1909.00745v1

    • [econ.GN]Racial Disparities in Voting Wait Times: Evidence from Smartphone Data
    M. Keith Chen, Kareem Haggag, Devin G. Pope, Ryne Rohla
    http://arxiv.org/abs/1909.00024v1

    • [eess.AS]Modeling Long-Range Context for Concurrent Dialogue Acts Recognition
    Yue Yu, Siyao Peng, Grace Hui Yang
    http://arxiv.org/abs/1909.00521v1

    • [eess.IV]3D landmark detection for augmented reality based otologic procedures
    Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli
    http://arxiv.org/abs/1909.01647v1

    • [eess.IV]3DSiameseNet to Analyze Brain MRI
    Cecilia Ostertag, Marie Beurton-Aimar, Thierry Urruty
    http://arxiv.org/abs/1909.01098v1

    • [eess.IV]A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation using Deep Learning
    Luyao Shi, John A. Onofrey, Enette Mae Revilla, Takuya Toyonaga, David Menard, Jo-seph Ankrah, Richard E. Carson, Chi Liu, Yihuan Lu
    http://arxiv.org/abs/1909.01394v1

    • [eess.IV]A Tool for Super-Resolving Multimodal Clinical MRI
    Mikael Brudfors, Yael Balbastre, Parashkev Nachev, John Ashburner
    http://arxiv.org/abs/1909.01140v1

    • [eess.IV]Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion
    Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-kan Tseng, Le Lu
    http://arxiv.org/abs/1909.01524v1

    • [eess.IV]CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
    Yanning Zhou, Simon Graham, Navid Alemi Koohbanani, Muhammad Shaban, Pheng-Ann Heng, Nasir Rajpoot
    http://arxiv.org/abs/1909.01068v1

    • [eess.IV]Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification
    Eduardo H. P. Pooch, Pedro L. Ballester, Rodrigo C. Barros
    http://arxiv.org/abs/1909.01940v1

    • [eess.IV]Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI
    Víctor M. Campello, Carlos Martín-Isla, Cristian Izquierdo, Steffen E. Petersen, Miguel A. González Ballester, Karim Lekadir
    http://arxiv.org/abs/1909.01182v1

    • [eess.IV]Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk
    Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-kan Tseng, Le Lu
    http://arxiv.org/abs/1909.01526v1

    • [eess.IV]Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images
    Tan Hung Pham, Sripad Krishna Devalla, Aloysius Ang, Soh Zhi Da, Alexandre H. Thiery, Craig Boote, Ching-Yu Cheng, Victor Koh, Michael J. A. Girard
    http://arxiv.org/abs/1909.00331v1

    • [eess.IV]Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing
    Ashutosh Tiwari, Avadh Bihari Narayan, Onkar Dikshit
    http://arxiv.org/abs/1909.01868v1

    • [eess.IV]Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty Analysis
    Parth Natekar, Avinash Kori, Ganapathy Krishnamurthi
    http://arxiv.org/abs/1909.01498v1

    • [eess.IV]Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
    Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu
    http://arxiv.org/abs/1909.01108v2

    • [eess.IV]Graph-based Transforms for Video Coding
    Hilmi E. Egilmez, Yung-Hsuan Chao, Antonio Ortega
    http://arxiv.org/abs/1909.00952v1

    • [eess.IV]Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation
    Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille, Seyoun Park
    http://arxiv.org/abs/1909.00906v1

    • [eess.IV]Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
    Gianmarco Santini, Noémi Moreau, Mathieu Rubeaux
    http://arxiv.org/abs/1909.00735v1

    • [eess.IV]Optimal translational-rotational invariant dictionaries for images
    Davide Barbieri, Carlos Cabrelli, Eugenio Hernández, Ursula Molter
    http://arxiv.org/abs/1909.01887v1

    • [eess.IV]Reinforcement Learning-based Automatic Diagnosis of Acute Appendicitis in Abdominal CT
    Walid Abdullah Al, Il Dong Yun, Kyong Joon Lee
    http://arxiv.org/abs/1909.00617v1

    • [eess.IV]Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation
    Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung
    http://arxiv.org/abs/1909.00548v1

    • [eess.IV]Self-Attentive Adversarial Stain Normalization
    Aman Shrivastava, Will Adorno, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Donald E. Brown, Sana Syed
    http://arxiv.org/abs/1909.01963v1

    • [eess.SP]Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
    Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz, Markus Dominik Mueck, Srikathyayani Srikanteswara
    http://arxiv.org/abs/1909.00907v1

    • [eess.SP]Fundamental Tradeoffs in Uplink Grant-Free Multiple Access with Protected CSI
    Dongyang Xu, Pinyi Ren, Yichen Wang, James A. Ritcey
    http://arxiv.org/abs/1909.01521v1

    • [eess.SY]A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks
    Aritra Mitra, John A. Richards, Shreyas Sundaram
    http://arxiv.org/abs/1909.01505v1

    • [eess.SY]ACES — Automatic Configuration of Energy Harvesting Sensors with Reinforcement Learning
    Francesco Fraternali, Bharathan Balaji, Yuvraj Agarwal, Rajesh K. Gupta
    http://arxiv.org/abs/1909.01968v1

    • [eess.SY]Deep Convolutional Networks in System Identification
    Carl Andersson, Antônio H. Ribeiro, Koen Tiels, Niklas Wahlström, Thomas B. Schön
    http://arxiv.org/abs/1909.01730v1

    • [eess.SY]Design, fabrication and 3-DOF control of legless capsule robot
    Milad Behvandi, Seyed Jalil Havakhah, Mohsen Laleh Parvar, Massih Haseli, Amirabolfazl Suratgar
    http://arxiv.org/abs/1909.00539v1

    • [eess.SY]Secure Analysis of Dynamic Networks under Pinning Attacks against Synchronization
    Yuzhe Li, Dawei Shi, Tongwen Chen
    http://arxiv.org/abs/1909.00582v1

    • [eess.SY]Stochastic quasi-Newton with line-search regularization
    Adrian Wills, Thomas Schön
    http://arxiv.org/abs/1909.01238v1

    • [hep-ph]Lund jet images from generative and cycle-consistent adversarial networks
    Stefano Carrazza, Frédéric A. Dreyer
    http://arxiv.org/abs/1909.01359v1

    • [math.DG]Stability of the Cut Locus and a Central Limit Theorem for Fréchet Means of Riemannian Manifolds
    Benjamin Eltzner, Fernando Galaz-Garcia, Stephan F. Huckemann, Wilderich Tuschmann
    http://arxiv.org/abs/1909.00410v2

    • [math.NA]Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems
    Aretha L Teckentrup
    http://arxiv.org/abs/1909.00232v1

    • [math.NA]Incrementally Updated Spectral Embeddings
    Vasileios Charisopoulos, Austin R. Benson, Anil Damle
    http://arxiv.org/abs/1909.01188v1

    • [math.NA]PLANC: Parallel Low Rank Approximation with Non-negativity Constraints
    Srinivas Eswar, Koby Hayashi, Grey Ballard, Ramakrishnan Kannan, Michael A. Matheson, Haesun Park
    http://arxiv.org/abs/1909.01149v1

    • [math.OC]A Decomposition Method for Large-scale Convex Quadratically Constrained Quadratic Programs
    Run Chen, Andrew L. Liu
    http://arxiv.org/abs/1909.00083v1

    • [math.OC]The ML-EM algorithm in continuum: sparse measure solutions
    Camille Pouchol, Olivier Verdier
    http://arxiv.org/abs/1909.01966v1

    • [math.PR]A Note on New Bernstein-type Inequalities for the Log-likelihood Function of Bernoulli Variables
    Yunpeng Zhao
    http://arxiv.org/abs/1909.00250v1

    • [math.PR]Central limit theorems for discretized occupation time functionals
    Randolf Altmeyer
    http://arxiv.org/abs/1909.00474v1

    • [math.ST]A Diffusion Process Perspective on Posterior Contraction Rates for Parameters
    Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter Bartlett, Michael I. Jordan
    http://arxiv.org/abs/1909.00966v1

    • [math.ST]Anti-MANOVA on Compact Manifolds with Applications to 3D Projective Shape Analysis
    Hwiyoung Lee, Vic Patrangenaru
    http://arxiv.org/abs/1909.00320v1

    • [math.ST]Asymptotic linear expansion of regularized M-estimators
    Tino Werner
    http://arxiv.org/abs/1909.00579v1

    • [math.ST]Consistency of Ranking Estimators
    Toby Kenney
    http://arxiv.org/abs/1909.00747v1

    • [math.ST]Minimum $L^q$-distance estimators for non-normalized parametric models
    Steffen Betsch, Bruno Ebner, Bernhard Klar
    http://arxiv.org/abs/1909.00002v1

    • [math.ST]Moment convergence of the generalized maximum composite likelihood estimators for determinantal point processes
    Kou Fujimori, Sota Sakamoto, Yasutaka Shimizu
    http://arxiv.org/abs/1909.01211v1

    • [math.ST]Nonparametric Bayesian estimation of a concave distribution function with mixed interval censored data
    Geurt Jongbloed, Frank van der Meulen, Lixue Pang
    http://arxiv.org/abs/1909.00625v1

    • [math.ST]Random Graph Models and Matchings
    Lucas Rooney
    http://arxiv.org/abs/1909.01723v1

    • [math.ST]Statistical Inferences of Linear Forms for Noisy Matrix Completion
    Dong Xia, Ming Yuan
    http://arxiv.org/abs/1909.00116v1

    • [math.ST]Statistics of Gaussians on local fields and their tropicalizations
    Yassine El Maazouz, Ngoc Mai Tran
    http://arxiv.org/abs/1909.00559v1

    • [math.ST]The extended xgamma distribution
    Mahendra Saha, Abhimanyu Singh Yadav, Arvind Pandey, Shivanshi Shukla, Sudhansu S Maiti
    http://arxiv.org/abs/1909.01103v1

    • [nlin.CD]Reservoir Computing based on Quenched Chaos
    Jaesung Choi, Pilwon Kim
    http://arxiv.org/abs/1909.01571v1

    • [physics.geo-ph]Multifractal Description of Streamflow and Suspended Sediment Concentration Data from Indian River Basins
    Adarsh Sankaran, Drisya Sasi Dharan, Anand Vishnu Babykuttan, Nandhu Ambika Raju, Vysakh Kunju Kunju, Marcin Wątorek
    http://arxiv.org/abs/1909.01605v1

    • [physics.soc-ph]Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms
    Tao Zhou, Yan-Li Lee, Guannan Wang
    http://arxiv.org/abs/1909.00174v1

    • [physics.soc-ph]Misinformation spreading on correlated multiplex networks
    Jiajun Xian, Dan Yang, Liming Pan, Wei Wang, Zhen Wang
    http://arxiv.org/abs/1909.00397v1

    • [q-bio.PE]Inferring species interactions using Granger causality and convergent cross mapping
    Frederic Barraquand, Coralie Picoche, Matteo Detto, Florian Hartig
    http://arxiv.org/abs/1909.00731v1

    • [q-bio.QM]An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction
    Aniruddha Dutta, Tamal Batabyal, Meheli Basu, Scott T. Acton
    http://arxiv.org/abs/1909.00489v1

    • [q-fin.ST]Are Bitcoins price predictable? Evidence from machine learning techniques using technical indicators
    Samuel Asante Gyamerah
    http://arxiv.org/abs/1909.01268v1

    • [quant-ph]Optimal uniform continuity bound for conditional entropy of classical—quantum states
    Mark M. Wilde
    http://arxiv.org/abs/1909.01755v1

    • [quant-ph]State Stabilization for Gate-Model Quantum Computers
    Laszlo Gyongyosi, Sandor Imre
    http://arxiv.org/abs/1909.01044v1

    • [quant-ph]Training Optimization for Gate-Model Quantum Neural Networks
    Laszlo Gyongyosi, Sandor Imre
    http://arxiv.org/abs/1909.01048v1

    • [stat.AP]A smooth dynamic network model for patent collaboration data
    Verena Bauer, Dietmar Harhoff, Göran Kauermann
    http://arxiv.org/abs/1909.00736v1

    • [stat.AP]Categorical Co-Frequency Analysis: Clustering Diagnosis Codes to Predict Hospital Readmissions
    Hallee E. Wong, Brianna C. Heggeseth, Steven J. Miller
    http://arxiv.org/abs/1909.00306v1

    • [stat.AP]Dynamic principal component regression for forecasting functional time series in a group structure
    Han Lin Shang
    http://arxiv.org/abs/1909.00456v1

    • [stat.AP]Gender-based homophily in collaborations across a heterogeneous scholarly landscape
    Y. Samuel Wang, Carole J. Lee, Jevin D. West, Carl T. Bergstrom, Elena A. Erosheva
    http://arxiv.org/abs/1909.01284v1

    • [stat.AP]In Search of Lost Edges: A Case Study on Reconstructing Financial Networks
    Michael Lebacher, Samantha Cook, Nadja Klein, Göran Kauermann
    http://arxiv.org/abs/1909.01274v2

    • [stat.AP]Learning Sensor Placement from Demonstration for UAV networks
    Assia Benbihi, Matthieu Geist, Cédric Pradalier
    http://arxiv.org/abs/1909.01636v1

    • [stat.AP]Mape_Maker: A Scenario Creator
    Guillaume Goujard, Jean-Paul Watson, David L. Woodruff
    http://arxiv.org/abs/1909.01919v1

    • [stat.AP]State Drug Policy Effectiveness: Comparative Policy Analysis of Drug Overdose Mortality
    Jarrod Olson, Po-Hsu Allen Chen, Marissa White, Nicole Brennan, Ning Gong
    http://arxiv.org/abs/1909.01936v1

    • [stat.AP]The association between commute time and poverty in the U.S
    Ellie Krossa, Topher Wang, John Sun
    http://arxiv.org/abs/1909.00061v1

    • [stat.ME]Bayesian Neural Tree Models for Nonparametric Regression
    Tanujit Chakraborty, Gauri Kamat, Ashis Kumar Chakraborty
    http://arxiv.org/abs/1909.00515v1

    • [stat.ME]Clustering of count data through a mixture of multinomial PCA
    Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, Guillaume Bataillon, Alain Livartowski
    http://arxiv.org/abs/1909.00721v1

    • [stat.ME]Competing risks joint models using R-INLA
    Janet van Niekerk, Haakon Bakka, Haavard Rue
    http://arxiv.org/abs/1909.01637v1

    • [stat.ME]Déjà vu: forecasting with similarity
    Yanfei Kang, Evangelos Spiliotis, Fotios Petropoulos, Nikolaos Athiniotis, Feng Li, Vassilios Assimakopoulos
    http://arxiv.org/abs/1909.00221v1

    • [stat.ME]Evaluating proxy influence in assimilated paleoclimate reconstructions — Testing the exchangeability of two ensembles of spatial processes
    Trevor Harris, Bo Li, Nathan Steiger, Jason Smerdon, Naveen Narisetty, Derek Tucker
    http://arxiv.org/abs/1909.01273v1

    • [stat.ME]Generating random Gaussian graphical models
    Irene Córdoba, Gherardo Varando, Concha Bielza, Pedro Larrañaga
    http://arxiv.org/abs/1909.01062v1

    • [stat.ME]Group Inference in High Dimensions with Applications to Hierarchical Testing
    Zijian Guo, Claude Renaux, Peter Bühlmann, T. Tony Cai
    http://arxiv.org/abs/1909.01503v1

    • [stat.ME]Latent Space Representations of Hypergraphs
    Kathryn Turnbull, Simón Lunagómez, Christopher Nemeth, Edoardo Airoldi
    http://arxiv.org/abs/1909.00472v1

    • [stat.ME]Multifidelity Computer Model Emulation with High-Dimensional Output
    Pulong Ma, Georgios Karagiannis, Bledar A. Konomi, Taylor G. Asher, Gabriel R. Toro, Andrew T. Cox
    http://arxiv.org/abs/1909.01836v1

    • [stat.ME]Multilevel latent class (MLC) modelling of healthcare provider causal effects on patient outcomes: Evaluation via simulation
    Wendy J. Harrison, Paul D. Baxter, Mark S. Gilthorpe
    http://arxiv.org/abs/1909.01035v1

    • [stat.ME]Semiparametric Inference for Non-monotone Missing-Not-at-Random Data: the No Self-Censoring Model
    Daniel Malinsky, Ilya Shpitser, Eric J Tchetgen Tchetgen
    http://arxiv.org/abs/1909.01848v1

    • [stat.ME]Simultaneous Estimation of Number of Clusters and Feature Sparsity in Clustering High-Dimensional Data
    Yujia Li, Xiangrui Zeng, Chien-Wei Lin, George Tseng
    http://arxiv.org/abs/1909.01930v1

    • [stat.ME]Subset Multivariate Collective And Point Anomaly Detection
    Alexander T M Fisch, Idris A Eckley, Paul Fearnhead
    http://arxiv.org/abs/1909.01691v1

    • [stat.ME]Testing nonparametric shape restrictions
    Tatiana Komarova, Javier Hidalgo
    http://arxiv.org/abs/1909.01675v1

    • [stat.ME]Vector Autoregressive Moving Average Model with Scalar Moving Average
    Du Nguyen
    http://arxiv.org/abs/1909.00386v1

    • [stat.ML]Avoiding Resentment Via Monotonic Fairness
    Guy W. Cole, Sinead A. Williamson
    http://arxiv.org/abs/1909.01251v1

    • [stat.ML]Counterfactual Risk Assessments, Evaluation, and Fairness
    Amanda Coston, Alexandra Chouldechova, Edward H. Kennedy
    http://arxiv.org/abs/1909.00066v1

    • [stat.ML]Data Selection for Short Term load forecasting
    Nestor Pereira, Miguel Angel Hombrados Herrera, Vanesssa Gómez-Verdejo, Andrea A. Mammoli, Manel Martínez-Ramón
    http://arxiv.org/abs/1909.01759v1

    • [stat.ML]Deep kernel learning for integral measurements
    Carl Jidling, Johannes Hendriks, Thomas B. Schön, Adrian Wills
    http://arxiv.org/abs/1909.01844v1

    • [stat.ML]Discriminative Topic Modeling with Logistic LDA
    Iryna Korshunova, Hanchen Xiong, Mateusz Fedoryszak, Lucas Theis
    http://arxiv.org/abs/1909.01436v1

    • [stat.ML]Efficiency of Coordinate Descent Methods For Structured Nonconvex Optimization
    Qi Deng, Chenghao Lan
    http://arxiv.org/abs/1909.00918v1

    • [stat.ML]Gaussian mixture model decomposition of multivariate signals
    Gustav Zickert, Can Evren Yarman
    http://arxiv.org/abs/1909.00367v1

    • [stat.ML]Latent Gaussian process with composite likelihoods for data-driven disease stratification
    Siddharth Ramchandran, Miika Koskinen, Harri Lähdesmäki
    http://arxiv.org/abs/1909.01614v1

    • [stat.ML]Learning without feedback: Direct random target projection as a feedback-alignment algorithm with layerwise feedforward training
    Charlotte Frenkel, Martin Lefebvre, David Bol
    http://arxiv.org/abs/1909.01311v1

    • [stat.ML]Likelihood-Free Overcomplete ICA and Applications in Causal Discovery
    Chenwei Ding, Mingming Gong, Kun Zhang, Dacheng Tao
    http://arxiv.org/abs/1909.01525v1

    • [stat.ML]Metric Learning from Imbalanced Data
    Léo Gautheron, Emilie Morvant, Amaury Habrard, Marc Sebban
    http://arxiv.org/abs/1909.01651v1

    • [stat.ML]Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks
    Andrew Y. K. Foong, David R. Burt, Yingzhen Li, Richard E. Turner
    http://arxiv.org/abs/1909.00719v1

    • [stat.ML]Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
    Mathias Lecuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu
    http://arxiv.org/abs/1909.01502v1

    • [stat.ML]Rates of Convergence for Large-scale Nearest Neighbor Classification
    Xingye Qiao, Jiexin Duan, Guang Cheng
    http://arxiv.org/abs/1909.01464v1