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