cs.AI - 人工智能 cs.CC - 计算复杂度 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.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 physics.space-ph - 空间物理学 q-bio.BM - 生物分子 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 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

    • [cs.AI]Abstract Reasoning with Distracting Features
    • [cs.AI]BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
    • [cs.AI]Explainable artificial intelligence model to predict acute critical illness from electronic health records
    • [cs.AI]Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
    • [cs.AI]Just Ask:An Interactive Learning Framework for Vision and Language Navigation
    • [cs.AI]Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
    • [cs.AI]Learning Bayesian networks from demographic and health survey data
    • [cs.AI]Learning Driving Decisions by Imitating Drivers’ Control Behaviors
    • [cs.AI]Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
    • [cs.AI]Optimality and limitations of audio-visual integration for cognitive systems
    • [cs.AI]SafeLife 1.0: Exploring Side Effects in Complex Environments
    • [cs.AI]Self-Learned Formula Synthesis in Set Theory
    • [cs.AI]Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations
    • [cs.CC]On the relation between structured $d$-DNNFs and SDDs
    • [cs.CL]A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique
    • [cs.CL]An Annotated Dataset of Coreference in English Literature
    • [cs.CL]AntNet: Deep Answer Understanding Network for Natural Reverse QA
    • [cs.CL]Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German
    • [cs.CL]BLiMP: A Benchmark of Linguistic Minimal Pairs for English
    • [cs.CL]Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation
    • [cs.CL]Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection
    • [cs.CL]Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators
    • [cs.CL]Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling
    • [cs.CL]GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN
    • [cs.CL]HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation
    • [cs.CL]Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
    • [cs.CL]Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
    • [cs.CL]Integrating Graph Contextualized Knowledge into Pre-trained Language Models
    • [cs.CL]Knowledge-Enriched Visual Storytelling
    • [cs.CL]Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition
    • [cs.CL]Large-scale text processing pipeline with Apache Spark
    • [cs.CL]Learning Word Ratings for Empathy and Distress from Document-Level User Responses
    • [cs.CL]Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
    • [cs.CL]Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives
    • [cs.CL]Merging External Bilingual Pairs into Neural Machine Translation
    • [cs.CL]Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
    • [cs.CL]Modeling German Verb Argument Structures: LSTMs vs. Humans
    • [cs.CL]Modelling Semantic Categories using Conceptual Neighborhood
    • [cs.CL]Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
    • [cs.CL]Multi-Scale Self-Attention for Text Classification
    • [cs.CL]Reading the Manual: Event Extraction as Definition Comprehension
    • [cs.CL]See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
    • [cs.CL]SemEval-2017 Task 3: Community Question Answering
    • [cs.CL]SemEval-2017 Task 4: Sentiment Analysis in Twitter
    • [cs.CL]Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
    • [cs.CL]Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations
    • [cs.CL]Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings
    • [cs.CL]Tag Recommendation by Word-Level Tag Sequence Modeling
    • [cs.CL]Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
    • [cs.CL]TutorialVQA: Question Answering Dataset for Tutorial Videos
    • [cs.CL]Unsupervised Inflection Generation Using Neural Language Modeling
    • [cs.CL]ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
    • [cs.CR]End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
    • [cs.CR]GDPArrrrr: Using Privacy Laws to Steal Identities
    • [cs.CR]RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems
    • [cs.CR]Towards Efficient Integration of Blockchain for IoT Security: The Case Study of IoT Remote Access
    • [cs.CV]A Context-Aware Loss Function for Action Spotting in Soccer Videos
    • [cs.CV]A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification
    • [cs.CV]A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop
    • [cs.CV]A Multigrid Method for Efficiently Training Video Models
    • [cs.CV]A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors
    • [cs.CV]A Robust Iris Authentication System on GPU-Based Edge Devices using Multi-Modalities Learning Model
    • [cs.CV]ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
    • [cs.CV]AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
    • [cs.CV]Affect-based Intrinsic Rewards for Learning General Representations
    • [cs.CV]Alignment Free and Distortion Robust Iris Recognition
    • [cs.CV]Assessing the Robustness of Visual Question Answering
    • [cs.CV]Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
    • [cs.CV]Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation
    • [cs.CV]BERT for Large-scale Video Segment Classification with Test-time Augmentation
    • [cs.CV]Convolutional STN for Weakly Supervised Object Localization and Beyond
    • [cs.CV]Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes
    • [cs.CV]DAL — A Deep Depth-aware Long-term Tracker
    • [cs.CV]DEGAS: Differentiable Efficient Generator Search
    • [cs.CV]Deep Bayesian Active Learning for Multiple Correct Outputs
    • [cs.CV]Deep Learning for Visual Tracking: A Comprehensive Survey
    • [cs.CV]DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
    • [cs.CV]Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition
    • [cs.CV]Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
    • [cs.CV]Dynamic Graph Representation for Partially Occluded Biometrics
    • [cs.CV]EDAS: Efficient and Differentiable Architecture Search
    • [cs.CV]Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
    • [cs.CV]End to End Trainable Active Contours via Differentiable Rendering
    • [cs.CV]EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
    • [cs.CV]Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
    • [cs.CV]Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
    • [cs.CV]Face Detection with Feature Pyramids and Landmarks
    • [cs.CV]FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
    • [cs.CV]GGNN: Graph-based GPU Nearest Neighbor Search
    • [cs.CV]Gate-Shift Networks for Video Action Recognition
    • [cs.CV]Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
    • [cs.CV]IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
    • [cs.CV]IPG-Net: Image Pyramid Guidance Network for Object Detection
    • [cs.CV]Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges
    • [cs.CV]Improving Model Drift for Robust Object Tracking
    • [cs.CV]Information bottleneck through variational glasses
    • [cs.CV]Interpreting Context of Images using Scene Graphs
    • [cs.CV]Joint Graph-based Depth Refinement and Normal Estimation
    • [cs.CV]Just Go with the Flow: Self-Supervised Scene Flow Estimation
    • [cs.CV]LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
    • [cs.CV]Learning to Relate from Captions and Bounding Boxes
    • [cs.CV]Learning to Super Resolve Intensity Images from Events
    • [cs.CV]LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
    • [cs.CV]MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
    • [cs.CV]Mixture Dense Regression for Object Detection and Human Pose Estimation
    • [cs.CV]MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
    • [cs.CV]More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
    • [cs.CV]Morphing and Sampling Network for Dense Point Cloud Completion
    • [cs.CV]Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
    • [cs.CV]Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity
    • [cs.CV]Patchy Image Structure Classification Using Multi-Orientation Region Transform
    • [cs.CV]Pruning at a Glance: Global Neural Pruning for Model Compression
    • [cs.CV]QUEST: Quantized embedding space for transferring knowledge
    • [cs.CV]RGPNet: A Real-Time General Purpose Semantic Segmentation
    • [cs.CV]RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
    • [cs.CV]RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
    • [cs.CV]Real-Time Panoptic Segmentation from Dense Detections
    • [cs.CV]Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
    • [cs.CV]Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance
    • [cs.CV]SAIS: Single-stage Anchor-free Instance Segmentation
    • [cs.CV]SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking
    • [cs.CV]Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues
    • [cs.CV]Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images
    • [cs.CV]The Analysis of Projective Transformation Algorithms for Image Recognition on Mobile Devices
    • [cs.CV]The Group Loss for Deep Metric Learning
    • [cs.CV]Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
    • [cs.CV]Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion
    • [cs.CV]Urban Driving with Conditional Imitation Learning
    • [cs.CV]View-Invariant Probabilistic Embedding for Human Pose
    • [cs.CV]Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
    • [cs.CY]A city-scale IoT-enabled ridesharing platform
    • [cs.CY]EduBERT: Pretrained Deep Language Models for Learning Analytics
    • [cs.CY]Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian
    • [cs.CY]Introduction to Computational Thinking: a new high school curriculum using CodeWorld
    • [cs.DB]Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure
    • [cs.DB]Ontologies for the Virtual Materials Marketplace
    • [cs.DC]A Hybrid Graph Coloring Algorithm for GPUs
    • [cs.DC]A Novel FPGA-Based High Throughput Accelerator For Binary Search Trees
    • [cs.DC]Achieving Determinism in Adaptive AUTOSAR
    • [cs.DC]BlockLot: Blockchain based Verifiable Lottery
    • [cs.DC]Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design
    • [cs.DC]Evaluating Reliability of SSD-Based I/O Caches in Enterprise Storage Systems
    • [cs.DC]Federated Learning with Autotuned Communication-Efficient Secure Aggregation
    • [cs.DC]GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks
    • [cs.DC]GPU Support for Automatic Generation of Finite-Differences Stencil Kernels
    • [cs.DC]LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
    • [cs.DC]MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud
    • [cs.DC]Mathematical Analysis and Algorithms for Federated Byzantine Agreement Systems
    • [cs.DC]Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink
    • [cs.DC]Recent Developments in Iterative Methods for Reducing Synchronization
    • [cs.DC]Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation
    • [cs.DL]The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019)
    • [cs.DS]Scalable Graph Algorithms
    • [cs.ET]Road traffic reservoir computing
    • [cs.FL]Classifying Pattern and Feature Properties to Get a $Θ(n)$ Checker and Reformulation for Sliding Time-Series Constraints
    • [cs.GR]A Bayesian Inference Framework for Procedural Material Parameter Estimation
    • [cs.GT]Experimental Evidence for Asymptotic Non-Optimality of Comb Adversary Strategy
    • [cs.HC]Addict Free — A Smart and Connected Relapse Intervention Mobile App
    • [cs.HC]Heterogeneous Label Space Transfer Learning for Brain-Computer Interfaces: A Label Alignment Approach
    • [cs.HC]KRM-based Dialogue Management
    • [cs.HC]Talking with Robots: Opportunities and Challenges
    • [cs.HC]Writing Across the World’s Languages: Deep Internationalization for Gboard, the Google Keyboard
    • [cs.IR]A Fast Matrix-Completion-Based Approach for Recommendation Systems
    • [cs.IR]A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
    • [cs.IR]An Investigation of Biases in Web Search Engine Query Suggestions
    • [cs.IR]Latent Semantic Search and Information Extraction Architecture
    • [cs.IR]Learning a faceted customer segmentation for discovering new business opportunities at Intel
    • [cs.IR]Semantic Enrichment of Streaming Healthcare Data
    • [cs.IR]TU Wien @ TREC Deep Learning ‘19 — Simple Contextualization for Re-ranking
    • [cs.IR]Towards an Integrative Educational Recommender for Lifelong Learners
    • [cs.IT]AI-Assisted Low Information Latency Wireless Networking
    • [cs.IT]An Introduction to Communication Efficient Edge Machine Learning
    • [cs.IT]Capacity-Approaching Polar Codes with Long Codewords and Successive Cancellation Decoding Based on Improved Gaussian Approximation
    • [cs.IT]Constructions of (2, 1, 2) complete j-MDP convolutional codes
    • [cs.IT]Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes
    • [cs.IT]Energy Efficiency Optimization: A New Trade-off Between Fairness and Total System Performance
    • [cs.IT]Generalization Error Bounds Via Rényi-, $f$-Divergences and Maximal Leakage
    • [cs.IT]Grant-Free Massive Random Access With a Massive MIMO Receiver
    • [cs.IT]IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization
    • [cs.IT]Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels
    • [cs.IT]Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
    • [cs.IT]New inconsistency indicators for incomplete pairwise comparisons matrices
    • [cs.IT]On a generalization of the Jensen-Shannon divergence
    • [cs.IT]On the connection between Deutsch-Jozsa algorithm and bent functions
    • [cs.IT]PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas
    • [cs.IT]Radio Map Based 3D Path Planning for Cellular-Connected UAV
    • [cs.IT]Reconfigurable Intelligent Surfaces assisted Communications with Limited Phase Shifts: How Many Phase Shifts Are Enough?
    • [cs.IT]Reconsidering Design of Multi-Antenna NOMA Systems with Limited Feedback
    • [cs.IT]Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces
    • [cs.IT]Secure Regularized Zero Forcing for Multiuser MIMOME Channels
    • [cs.IT]Short-Packet Transmission over a Bidirectional Massive MIMO link
    • [cs.IT]Structure of Optimal Cache Placement for Coded Caching with Heterogeneous Demands
    • [cs.IT]Using Massive MIMO Arrays for Joint Communication and Sensing
    • [cs.IT]Zero Crossing Modulation for Communication with Temporally Oversampled 1-Bit Quantization
    • [cs.LG]”How do urban incidents affect traffic speed?” A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction
    • [cs.LG]A Comparative Study of Pretrained Language Models on Thai Social Text Categorization
    • [cs.LG]A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity
    • [cs.LG]A Hidden Variables Approach to Multilabel Logistic Regression
    • [cs.LG]A Method for Computing Class-wise Universal Adversarial Perturbations
    • [cs.LG]A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
    • [cs.LG]AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
    • [cs.LG]Adaptive Divergence for Rapid Adversarial Optimization
    • [cs.LG]Adaptive Online Planning for Continual Lifelong Learning
    • [cs.LG]Adversarial normalization for multi domain image segmentation
    • [cs.LG]Adversary A3C for Robust Reinforcement Learning
    • [cs.LG]An Anomaly Contribution Explainer for Cyber-Security Applications
    • [cs.LG]Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network
    • [cs.LG]Automated curriculum generation for Policy Gradients from Demonstrations
    • [cs.LG]Automated speech-based screening of depression using deep convolutional neural networks
    • [cs.LG]Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network
    • [cs.LG]CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data
    • [cs.LG]Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
    • [cs.LG]Continuous Graph Neural Networks
    • [cs.LG]Continuous Online Learning and New Insights to Online Imitation Learning
    • [cs.LG]Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
    • [cs.LG]Deep Probabilistic Models to Detect Data Poisoning Attacks
    • [cs.LG]DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
    • [cs.LG]Diagnostic Curves for Black Box Models
    • [cs.LG]Differential Bayesian Neural Nets
    • [cs.LG]Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations
    • [cs.LG]Dream to Control: Learning Behaviors by Latent Imagination
    • [cs.LG]Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints
    • [cs.LG]EMAP: Explanation by Minimal Adversarial Perturbation
    • [cs.LG]Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
    • [cs.LG]Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data
    • [cs.LG]ExperienceThinking: Hyperparameter Optimization with Budget Constraints
    • [cs.LG]FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation
    • [cs.LG]Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
    • [cs.LG]Fastened CROWN: Tightened Neural Network Robustness Certificates
    • [cs.LG]Federated Learning with Personalization Layers
    • [cs.LG]Gaussian Embedding of Large-scale Attributed Graphs
    • [cs.LG]GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
    • [cs.LG]Is Discriminator a Good Feature Extractor?
    • [cs.LG]KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling
    • [cs.LG]LOGAN: Latent Optimisation for Generative Adversarial Networks
    • [cs.LG]Latent Replay for Real-Time Continual Learning
    • [cs.LG]Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
    • [cs.LG]Learning Spatially Structured Image Transformations Using Planar Neural Networks
    • [cs.LG]Learning to smell for wellness
    • [cs.LG]Less Is Better: Unweighted Data Subsampling via Influence Function
    • [cs.LG]Leveraging Procedural Generation to Benchmark Reinforcement Learning
    • [cs.LG]Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers
    • [cs.LG]Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling
    • [cs.LG]Machine learning applications in time series hierarchical forecasting
    • [cs.LG]Make Thunderbolts Less Frightening — Predicting Extreme Weather Using Deep Learning
    • [cs.LG]Mixing autoencoder with classifier: conceptual data visualization
    • [cs.LG]Model Embedded DRL for Intelligent Greenhouse Control
    • [cs.LG]Multi-view Subspace Clustering via Partition Fusion
    • [cs.LG]Multiscale Self Attentive Convolutions for Vision and Language Modeling
    • [cs.LG]Music Style Classification with Compared Methods in XGB and BPNN
    • [cs.LG]Neural Network Branching for Neural Network Verification
    • [cs.LG]Neural Predictor for Neural Architecture Search
    • [cs.LG]Not All Attention Is Needed: Gated Attention Network for Sequence Data
    • [cs.LG]On the Delta Method for Uncertainty Approximation in Deep Learning
    • [cs.LG]On-policy Reinforcement Learning with Entropy Regularization
    • [cs.LG]Online Knowledge Distillation with Diverse Peers
    • [cs.LG]Optimal Laplacian regularization for sparse spectral community detection
    • [cs.LG]Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
    • [cs.LG]Overcoming Catastrophic Forgetting by Generative Regularization
    • [cs.LG]Predicting Soil pH by Using Nearest Fields
    • [cs.LG]Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
    • [cs.LG]Rank Aggregation via Heterogeneous Thurstone Preference Models
    • [cs.LG]Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
    • [cs.LG]Risk Bounds for Low Cost Bipartite Ranking
    • [cs.LG]Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
    • [cs.LG]Sparse Graph Attention Networks
    • [cs.LG]Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates
    • [cs.LG]Structure Learning with Similarity Preserving
    • [cs.LG]TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
    • [cs.LG]The Comparison of Methods for Individual Treatment Effect Detection
    • [cs.LG]The Knowledge Within: Methods for Data-Free Model Compression
    • [cs.LG]The intriguing role of module criticality in the generalization of deep networks
    • [cs.LG]Towards Understanding the Spectral Bias of Deep Learning
    • [cs.LG]Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA)
    • [cs.LG]Using Dimensionality Reduction to Optimize t-SNE
    • [cs.LG]Using Laplacian Spectrum as Graph Feature Representation
    • [cs.LG]Value-laden Disciplinary Shifts in Machine Learning
    • [cs.LG]XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
    • [cs.LG]scikit-hubness: Hubness Reduction and Approximate Neighbor Search
    • [cs.LO]FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints
    • [cs.MA]MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
    • [cs.MM]An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios
    • [cs.MS]PFASST-ER: Combining the Parallel Full Approximation Scheme in Space and Time with parallelization across the method
    • [cs.NE]MSTDP: A More Biologically Plausible Learning
    • [cs.NE]Optimizing the energy consumption of spiking neural networks for neuromorphic applications
    • [cs.NE]Simulation of neural function in an artificial Hebbian network
    • [cs.NI]Age of Information in Random Access Channels
    • [cs.NI]Contribution to the design and the implementation of a Cloud Radio Access Network
    • [cs.NI]Dynamic Energy-Efficient Power Allocation in Multibeam Satellite Systems
    • [cs.PF]BenchCouncil’s View on Benchmarking AI and Other Emerging Workloads
    • [cs.PL]Proving Data-Poisoning Robustness in Decision Trees
    • [cs.RO]A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation
    • [cs.RO]AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts
    • [cs.RO]Augmented Reality for Human-Swarm Interaction in a Swarm-Robotic Chemistry Simulation
    • [cs.RO]Comparison and Evaluation of 2D and 3D Range Sensors
    • [cs.RO]Design, modelling and control of a novel agricultural robot with interlock drive system
    • [cs.RO]Embodiment in Socially Interactive Robots
    • [cs.RO]Evaluation of Smartphone IMUs for Small Mobile Search and Rescue Robots
    • [cs.RO]Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
    • [cs.RO]Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction
    • [cs.RO]Internally-Balanced Magnetic Mechanisms Using Magnetic Spring for Producing Large Amplified Clamping Force
    • [cs.RO]Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context
    • [cs.RO]Radial-Layer Jamming Mechanism for String Configuration
    • [cs.RO]Range-only Collaborative Localization for Ground Vehicles
    • [cs.RO]Room Detection for Topological Maps
    • [cs.RO]Safe rendering of high impedance on a series-elastic actuator with disturbance observer-based torque control
    • [cs.RO]Scene recognition based on DNN and game theory with its applications in human-robot interaction
    • [cs.RO]Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor
    • [cs.RO]Transferable Force-Torque Dynamics Model for Peg-in-hole Task
    • [cs.RO]Visual-UWB Navigation System for Unknown Environments
    • [cs.SD]WaveFlow: A Compact Flow-based Model for Raw Audio
    • [cs.SI]Core-Periphery Structure in Directed Networks
    • [cs.SI]Discovering Opioid Use Patterns from Social Media for Relapse Prevention
    • [cs.SI]Generalizable prediction of academic performance from short texts on social media
    • [cs.SI]Generalized Reputation Computation Ontology and Temporal Graph Architecture
    • [cs.SI]JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
    • [cs.SI]Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks
    • [cs.SI]On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework
    • [cs.SI]Online information of vaccines: information quality is an ethical responsibility of search engines
    • [cs.SI]Visualizing structural balance in signed networks
    • [econ.EM]Mean-shift least squares model averaging
    • [eess.IV]A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents
    • [eess.IV]Applying Knowledge Transfer for Water Body Segmentation in Peru
    • [eess.IV]Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
    • [eess.IV]Detecting GAN generated errors
    • [eess.IV]Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network
    • [eess.IV]Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making
    • [eess.IV]Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT
    • [eess.IV]Noise2Blur: Online Noise Extraction and Denoising
    • [eess.IV]Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions
    • [eess.IV]Pyramid Convolutional RNN for MRI Reconstruction
    • [eess.IV]Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
    • [eess.IV]Stochastic tissue window normalization of deep learning on computed tomography
    • [eess.IV]Texture Hallucination for Large-Scale Painting Super-Resolution
    • [eess.IV]The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
    • [eess.SP]Internet of Things in Geospatial Analytics
    • [eess.SP]Towards blind user’s indoor navigation: a comparative study of beacons and decawave for indoor accurate location
    • [math.NA]An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids
    • [math.OC]Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
    • [math.PR]Equivalence of the Hazard Rate and Usual Stochastic Orders for Parallel Systems
    • [math.ST]A Rigorous Theory of Conditional Mean Embeddings
    • [math.ST]A simple proof of the characteristic function of Student’s $t$-distribution
    • [math.ST]Algebraic Analysis of Rotation Data
    • [math.ST]Anisotropic Functional Deconvolution for the irregular design with dependent long-memory errors
    • [math.ST]Copula versions of distance multivariance and dHSIC via the distributional transform — a general approach to construct invariant dependence measures
    • [math.ST]Decentralised Sparse Multi-Task Regression
    • [math.ST]Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models
    • [math.ST]Evidence for goodness of fit in Karl Pearson chi-squared statistics
    • [math.ST]Longitudinal Mediation Analysis Using Natural Effect Models
    • [math.ST]Non parametric estimation of residual-past entropy, mean residual-past lifetime, residual-past inaccuracy measure and asymptotic limits
    • [math.ST]Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data
    • [math.ST]On Distance and Kernel Measures of Conditional Independence
    • [math.ST]Optimal Best Markovian Arm Identification with Fixed Confidence
    • [math.ST]Statistical inference for fractional diffusion process with random effects at discrete observations
    • [physics.comp-ph]Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization
    • [physics.soc-ph]Competing local and global interactions in social dynamics: how important is the friendship network?
    • [physics.soc-ph]Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest
    • [physics.space-ph]A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning
    • [q-bio.BM]DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
    • [q-bio.PE]Drug dissemination strategy with a SEIR-based SUC model
    • [q-bio.QM]Joint and individual analysis of breast cancer histologic images and genomic covariates
    • [quant-ph]Adjusted Subadditivity of Relative Entropy for Non-commuting Conditional Expectations
    • [quant-ph]Optimizing the fundamental limits for quantum and private communication
    • [stat.AP]Automated metrics calculation in a dynamic heterogeneous environment
    • [stat.AP]Confounding Adjustment Methods for Multi-level Treatment Comparisons Under Lack of Positivity and Unknown Model Specification
    • [stat.AP]Crime in Philadelphia: Bayesian Clustering with Particle Optimization
    • [stat.AP]Diagnostic checking in FARIMA models with uncorrelated but non-independent error terms
    • [stat.AP]Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes
    • [stat.AP]Improving upon NBA point-differential rankings
    • [stat.AP]Inferring HIV incidence trends and transmission dynamics with a spatio-temporal HIV epidemic model
    • [stat.AP]Multi-temporal abrupt change estimation on Landsat time series imagery: an application to analyze burn severity in La Primavera, Mexico
    • [stat.AP]Penalized Matrix Regression for Two-Dimensional Variable Selection
    • [stat.AP]Space-Time Landslide Predictive Modelling
    • [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): Rationale and statistical concept of a meta-analytic study
    • [stat.AP]The Effect of Real Estate Auction Events on Mortality Rate
    • [stat.ME]A novel framework for joint sparse clustering and alignment of functional data
    • [stat.ME]Branching epistemic uncertainty and thickness of tails
    • [stat.ME]Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses
    • [stat.ME]Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data
    • [stat.ME]Inference for Synthetic Control Methods with Multiple Treated Units
    • [stat.ME]Nonparametric analysis of nonhomogeneous multi-state processes based on clustered observations
    • [stat.ME]SSNdesign — an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
    • [stat.ME]Simpson’s Paradox and the implications for medical trials
    • [stat.ML]A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections
    • [stat.ML]A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning
    • [stat.ML]Asymptotic Normality and Variance Estimation For Supervised Ensembles
    • [stat.ML]Bayesian Model Selection for Change Point Detection and Clustering
    • [stat.ML]Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm
    • [stat.ML]Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
    • [stat.ML]Flow Contrastive Estimation of Energy-Based Models
    • [stat.ML]Implicit Priors for Knowledge Sharing in Bayesian Neural Networks
    • [stat.ML]Matrix sketching for supervised classification with imbalanced classes
    • [stat.ML]Numerical Gaussian process Kalman filtering
    • [stat.ML]On the Validity of Bayesian Neural Networks for Uncertainty Estimation
    • [stat.ML]On the geometry of Stein variational gradient descent
    • [stat.ML]On the optimality of kernels for high-dimensional clustering
    • [stat.ML]Sequential Classification with Empirically Observed Statistics
    • [stat.ML]Stationary Points of Shallow Neural Networks with Quadratic Activation Function
    • [stat.ML]Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon

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

    • [cs.AI]Abstract Reasoning with Distracting Features
    Kecheng Zheng, Zheng-jun Zha, Wei Wei
    http://arxiv.org/abs/1912.00569v1

    • [cs.AI]BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)**
    Marek Rosa, Olga Afanasjeva, Simon Andersson, Joseph Davidson, Nicholas Guttenberg, Petr Hlubuček, Martin Poliak, Jaroslav Vítku, Jan Feyereisl
    http://arxiv.org/abs/1912.01513v1

    • [cs.AI]Explainable artificial intelligence model to predict acute critical illness from electronic health records
    Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
    http://arxiv.org/abs/1912.01266v1

    • [cs.AI]Idle Time Optimization for Target Assignment and Path Finding in Sortation Centers
    Ngai Meng Kou, Cheng Peng, Hang Ma, T. K. Satish Kumar, Sven Koenig
    http://arxiv.org/abs/1912.00253v1

    • [cs.AI]Just Ask:An Interactive Learning Framework for Vision and Language Navigation
    Ta-Chung Chi, Mihail Eric, Seokhwan Kim, Minmin Shen, Dilek Hakkani-tur
    http://arxiv.org/abs/1912.00915v1

    • [cs.AI]Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
    Ugur Kursuncu, Manas Gaur, Amit Sheth
    http://arxiv.org/abs/1912.00512v1

    • [cs.AI]Learning Bayesian networks from demographic and health survey data
    Neville Kenneth Kitson, Anthony C. Constantinou
    http://arxiv.org/abs/1912.00715v1

    • [cs.AI]Learning Driving Decisions by Imitating Drivers’ Control Behaviors
    Junning Huang, Sirui Xie, Jiankai Sun, Qiurui Ma, Chunxiao Liu, Jianping Shi, Dahua Lin, Bolei Zhou
    http://arxiv.org/abs/1912.00191v1

    • [cs.AI]Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
    Hangyu Mao, Wulong Liu, Jianye Hao, Jun Luo, Dong Li, Zhengchao Zhang, Jun Wang, Zhen Xiao
    http://arxiv.org/abs/1912.01160v1

    • [cs.AI]Optimality and limitations of audio-visual integration for cognitive systems
    W. Paul Boyce, Tony Lindsay, Arkady Zgonnikov, Ignacio Rano, KongFatt Wong-Lin
    http://arxiv.org/abs/1912.00581v1

    • [cs.AI]SafeLife 1.0: Exploring Side Effects in Complex Environments
    Carroll L. Wainwright, Peter Eckersley
    http://arxiv.org/abs/1912.01217v1

    • [cs.AI]Self-Learned Formula Synthesis in Set Theory
    Chad E. Brown, Thibault Gauthier
    http://arxiv.org/abs/1912.01525v1

    • [cs.AI]Towards Successful Collaboration: Design Guidelines for AI-based Services enriching Information Systems in Organisations
    Nicholas R. J. Frick, Felix Brünker, Björn Ross, Stefan Stieglitz
    http://arxiv.org/abs/1912.01077v1

    • [cs.CC]On the relation between structured $d$-DNNFs and SDDs
    Beate Bollig, Martin Farenholtz
    http://arxiv.org/abs/1912.01430v1

    • [cs.CL]A Hybrid Approach Towards Two Stage Bengali Question Classification Utilizing Smart Data Balancing Technique
    Md. Hasibur Rahman, Chowdhury Rafeed Rahman, Ruhul Amin, Md. Habibur Rahman Sifat, Afra Anika
    http://arxiv.org/abs/1912.00127v1

    • [cs.CL]An Annotated Dataset of Coreference in English Literature
    David Bamman, Olivia Lewke, Anya Mansoor
    http://arxiv.org/abs/1912.01140v1

    • [cs.CL]AntNet: Deep Answer Understanding Network for Natural Reverse QA
    Lei Yang, Qing Yin, Linlin Hou, Jie Gui, Ou Wu, James Kwok
    http://arxiv.org/abs/1912.00398v1

    • [cs.CL]Automatic Creation of Text Corpora for Low-Resource Languages from the Internet: The Case of Swiss German
    Lucy Linder, Michael Jungo, Jean Hennebert, Claudiu Musat, Andreas Fischer
    http://arxiv.org/abs/1912.00159v1

    • [cs.CL]BLiMP: A Benchmark of Linguistic Minimal Pairs for English
    Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, Samuel R. Bowman
    http://arxiv.org/abs/1912.00582v1

    • [cs.CL]Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation
    Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo
    http://arxiv.org/abs/1912.01214v1

    • [cs.CL]Dynamic Prosody Generation for Speech Synthesis using Linguistics-Driven Acoustic Embedding Selection
    Shubhi Tyagi, Marco Nicolis, Jonas Rohnke, Thomas Drugman, Jaime Lorenzo-Trueba
    http://arxiv.org/abs/1912.00955v1

    • [cs.CL]Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators
    Chandrakant Bothe, Cornelius Weber, Sven Magg, Stefan Wermter
    http://arxiv.org/abs/1912.00819v1

    • [cs.CL]Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling
    Yuri Safovich, Amos Azaria
    http://arxiv.org/abs/1912.00698v2

    • [cs.CL]GANCoder: An Automatic Natural Language-to-Programming Language Translation Approach based on GAN
    Yabing Zhu, Yanfeng Zhang, Huili Yang, Fangjing Wang
    http://arxiv.org/abs/1912.00609v1

    • [cs.CL]HSCJN: A Holistic Semantic Constraint Joint Network for Diverse Response Generation
    Yiru Wang, Pengda Si, Zeyang Lei, Guangxu Xun, Yujiu Yang
    http://arxiv.org/abs/1912.00380v1

    • [cs.CL]Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
    Xiyao Ma, Qile Zhu, Yanlin Zhou, Xiaolin Li, Dapeng Wu
    http://arxiv.org/abs/1912.00879v1

    • [cs.CL]Integrate Image Representation to Text Model on Sentence Level: a Semi-supervised Framework
    Lisai Zhang, Qingcai Chen, Dongfang Li, Buzhou Tang
    http://arxiv.org/abs/1912.00336v1

    • [cs.CL]Integrating Graph Contextualized Knowledge into Pre-trained Language Models
    Bin He, Di Zhou, Jinghui Xiao, Xin jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu
    http://arxiv.org/abs/1912.00147v2

    • [cs.CL]Knowledge-Enriched Visual Storytelling
    Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu, Chih-Chia Li, Tzu-Yuan Lin, Ting-Hao ‘Kenneth’ Huang, Lun-Wei Ku
    http://arxiv.org/abs/1912.01496v1

    • [cs.CL]Language Model Bootstrapping Using Neural Machine Translation For Conversational Speech Recognition
    Surabhi Punjabi, Harish Arsikere, Sri Garimella
    http://arxiv.org/abs/1912.00958v1

    • [cs.CL]Large-scale text processing pipeline with Apache Spark
    Alexey Svyatkovskiy, Kosuke Imai, Mary Kroeger, Yuki Shiraito
    http://arxiv.org/abs/1912.00547v1

    • [cs.CL]Learning Word Ratings for Empathy and Distress from Document-Level User Responses
    João Sedoc, Sven Buechel, Yehonathan Nachmany, Anneke Buffone, Lyle Ungar
    http://arxiv.org/abs/1912.01079v1

    • [cs.CL]Leveraging Contextual Embeddings for Detecting Diachronic Semantic Shift
    Matej Martinc, Petra Kralj Novak, Senja Pollak
    http://arxiv.org/abs/1912.01072v1

    • [cs.CL]Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives
    Won Ik Cho, Young Ki Moon, Sangwhan Moon, Seok Min Kim, Nam Soo Kim
    http://arxiv.org/abs/1912.00342v1

    • [cs.CL]Merging External Bilingual Pairs into Neural Machine Translation
    Tao Wang, Shaohui Kuang, Deyi Xiong, António Branco
    http://arxiv.org/abs/1912.00567v1

    • [cs.CL]Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
    Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu
    http://arxiv.org/abs/1912.00178v1

    • [cs.CL]Modeling German Verb Argument Structures: LSTMs vs. Humans
    Charlotte Rochereau, Benoît Sagot, Emmanuel Dupoux
    http://arxiv.org/abs/1912.00239v1

    • [cs.CL]Modelling Semantic Categories using Conceptual Neighborhood
    Zied Bouraoui, Jose Camacho-Collados, Luis Espinosa-Anke, Steven Schockaert
    http://arxiv.org/abs/1912.01220v1

    • [cs.CL]Morphological Tagging and Lemmatization of Albanian: A Manually Annotated Corpus and Neural Models
    Nelda Kote, Marenglen Biba, Jenna Kanerva, Samuel Rönnqvist, Filip Ginter
    http://arxiv.org/abs/1912.00991v1

    • [cs.CL]Multi-Scale Self-Attention for Text Classification
    Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang
    http://arxiv.org/abs/1912.00544v1

    • [cs.CL]Reading the Manual: Event Extraction as Definition Comprehension
    Yunmo Chen, Tongfei Chen, Seth Ebner, Benjamin Van Durme
    http://arxiv.org/abs/1912.01586v1

    • [cs.CL]See and Read: Detecting Depression Symptoms in Higher Education Students Using Multimodal Social Media Data
    Paulo Mann, Aline Paes, Elton H. Matsushima
    http://arxiv.org/abs/1912.01131v1

    • [cs.CL]SemEval-2017 Task 3: Community Question Answering
    Preslav Nakov, Doris Hoogeveen, Lluís Màrquez, Alessandro Moschitti, Hamdy Mubarak, Timothy Baldwin, Karin Verspoor
    http://arxiv.org/abs/1912.00730v1

    • [cs.CL]SemEval-2017 Task 4: Sentiment Analysis in Twitter
    Sara Rosenthal, Noura Farra, Preslav Nakov
    http://arxiv.org/abs/1912.00741v1

    • [cs.CL]Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
    Trapit Bansal, Pat Verga, Neha Choudhary, Andrew McCallum
    http://arxiv.org/abs/1912.01070v1

    • [cs.CL]Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations
    Kaden Griffith, Jugal Kalita
    http://arxiv.org/abs/1912.00871v1

    • [cs.CL]Speeding up Word Mover’s Distance and its variants via properties of distances between embeddings
    Matheus Werner, Eduardo Laber
    http://arxiv.org/abs/1912.00509v1

    • [cs.CL]Tag Recommendation by Word-Level Tag Sequence Modeling
    Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang
    http://arxiv.org/abs/1912.00113v1

    • [cs.CL]Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
    Yuchen Guo, Nicholas Haonian, Zhexiao Lin, Nicholas Liskij, Hanbaek Lyu, Deanna Needell, Jiahao Qu, Henry Sojico, Yuliang Wang, Zhe Xiong, Zhenhong Zou
    http://arxiv.org/abs/1912.00315v1

    • [cs.CL]TutorialVQA: Question Answering Dataset for Tutorial Videos
    Anthony Colas, Seokhwan Kim, Franck Dernoncourt, Siddhesh Gupte, Daisy Zhe Wang, Doo Soon Kim
    http://arxiv.org/abs/1912.01046v1

    • [cs.CL]Unsupervised Inflection Generation Using Neural Language Modeling
    Octavia-Maria Sulea, Steve Young
    http://arxiv.org/abs/1912.01156v1

    • [cs.CL]ZuCo 2.0: A Dataset of Physiological Recordings During Natural Reading and Annotation
    Nora Hollenstein, Marius Troendle, Ce Zhang, Nicolas Langer
    http://arxiv.org/abs/1912.00903v1

    • [cs.CR]End-to-End Deep Neural Networks and Transfer Learning for Automatic Analysis of Nation-State Malware
    Ishai Rosenberg, Guillaume Sicard, Eli David
    http://arxiv.org/abs/1912.01493v1

    • [cs.CR]GDPArrrrr: Using Privacy Laws to Steal Identities
    James Pavur, Casey Knerr
    http://arxiv.org/abs/1912.00731v1

    • [cs.CR]RESCUE: Interdependent Challenges of Reliability, Security and Quality in Nanoelectronic Systems
    Maksim Jenihhin, Said Hamdioui, Matteo Sonza Reorda, Milos Krstic, Peter Langendoerfer, Christian Sauer, Anton Klotz, Michael Huebner, Joerg Nolte, Heinrich Theodor Vierhaus, Georgios Selimis, Dan Alexandrescu, Mottaqiallah Taouil, Geert-Jan Schrijen, Jaan Raik, Luca Sterpone, Giovanni Squillero, Zoya Dyka
    http://arxiv.org/abs/1912.01561v1

    • [cs.CR]Towards Efficient Integration of Blockchain for IoT Security: The Case Study of IoT Remote Access
    Chenglong Fu, Qiang Zeng, Xiaojiang Du
    http://arxiv.org/abs/1912.00264v1

    • [cs.CV]A Context-Aware Loss Function for Action Spotting in Soccer Videos
    Anthony Cioppa, Adrien Deliège, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck, Rikke Gade, Thomas B. Moeslund
    http://arxiv.org/abs/1912.01326v1

    • [cs.CV]A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification
    Eduardo Betine Bucker, Antonio José Grandson Busson, Ruy Luiz Milidiú, Sérgio Colcher, Bruno Pereira Dias, André Bulcão
    http://arxiv.org/abs/1912.01148v1

    • [cs.CV]A Free Lunch in Generating Datasets: Building a VQG and VQA System with Attention and Humans in the Loop
    Jihyeon Janel Lee, Sho Arora
    http://arxiv.org/abs/1912.00124v1

    • [cs.CV]A Multigrid Method for Efficiently Training Video Models
    Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
    http://arxiv.org/abs/1912.00998v1

    • [cs.CV]A Programmatic and Semantic Approach to Explaining and DebuggingNeural Network Based Object Detectors
    Edward Kim, Divya Gopinath, Corina Pasareanu, Sanjit Seshia
    http://arxiv.org/abs/1912.00289v1

    • [cs.CV]A Robust Iris Authentication System on GPU-Based Edge Devices using Multi-Modalities Learning Model
    Siming Zheng, Rahmita Wirza O. K. Rahmat, Fatimah Khalid, Nurul Amelina Nasharuddin
    http://arxiv.org/abs/1912.00756v1

    • [cs.CV]ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
    Arren Glover, Alan B. Stokes, Steve Furber, Chiara Bartolozzi
    http://arxiv.org/abs/1912.01320v1

    • [cs.CV]AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
    Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem
    http://arxiv.org/abs/1912.00461v1

    • [cs.CV]Affect-based Intrinsic Rewards for Learning General Representations
    Dean Zadok, Daniel McDuff, Ashish Kapoor
    http://arxiv.org/abs/1912.00403v1

    • [cs.CV]Alignment Free and Distortion Robust Iris Recognition
    Min Ren, Caiyong Wang, Yunlong Wang, Zhenan Sun, Tieniu Tan
    http://arxiv.org/abs/1912.00382v1

    • [cs.CV]Assessing the Robustness of Visual Question Answering
    Jia-Hong Huang, Modar Alfadly, Bernard Ghanem, Marcel Worring
    http://arxiv.org/abs/1912.01452v1

    • [cs.CV]Asymmetric Co-Teaching for Unsupervised Cross Domain Person Re-Identification
    Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li
    http://arxiv.org/abs/1912.01349v1

    • [cs.CV]Automatic Video Object Segmentation via Motion-Appearance-Stream Fusion and Instance-aware Segmentation
    Sungkwon Choo, Wonkyo Seo, Nam Ik Cho
    http://arxiv.org/abs/1912.01373v1

    • [cs.CV]BERT for Large-scale Video Segment Classification with Test-time Augmentation
    Tianqi Liu, Qizhan Shao
    http://arxiv.org/abs/1912.01127v1

    • [cs.CV]Convolutional STN for Weakly Supervised Object Localization and Beyond
    Akhil Meethal, Marco Pedersoli, Soufiane Belharbi, Eric Granger
    http://arxiv.org/abs/1912.01522v1

    • [cs.CV]Cyclic Functional Mapping: Self-supervised correspondence between non-isometric deformable shapes
    Dvir Ginzburg, Dan Raviv
    http://arxiv.org/abs/1912.01249v1

    • [cs.CV]DAL — A Deep Depth-aware Long-term Tracker
    Yanlin Qian, Alan Lukežič, Matej Kristan, Joni-Kristian Kämäräinen, Jiri Matas
    http://arxiv.org/abs/1912.00660v1

    • [cs.CV]DEGAS: Differentiable Efficient Generator Search
    Sivan Doveh, Raja Giryes
    http://arxiv.org/abs/1912.00606v1

    • [cs.CV]Deep Bayesian Active Learning for Multiple Correct Outputs
    Khaled Jedoui, Ranjay Krishna, Michael Bernstein, Li Fei-Fei
    http://arxiv.org/abs/1912.01119v1

    • [cs.CV]Deep Learning for Visual Tracking: A Comprehensive Survey
    Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei
    http://arxiv.org/abs/1912.00535v1

    • [cs.CV]DeepC-MVS: Deep Confidence Prediction for Multi-View Stereo Reconstruction
    Andreas Kuhn, Christian Sormann, Mattia Rossi, Oliver Erdler, Friedrich Fraundorfer
    http://arxiv.org/abs/1912.00439v1

    • [cs.CV]Detecting Finger-Vein Presentation Attacks Using 3D Shape & Diffuse Reflectance Decomposition
    Jag Mohan Singh, Sushma Venkatesh, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch
    http://arxiv.org/abs/1912.01408v1

    • [cs.CV]Diversifying Inference Path Selection: Moving-Mobile-Network for Landmark Recognition
    Biao Qian, Yang Wang, Zhao Zhang, Richang Hong, Meng Wang, Ling Shao
    http://arxiv.org/abs/1912.00418v1

    • [cs.CV]Dynamic Graph Representation for Partially Occluded Biometrics
    Min Ren, Yunlong Wang, Zhenan Sun, Tieniu Tan
    http://arxiv.org/abs/1912.00377v1

    • [cs.CV]EDAS: Efficient and Differentiable Architecture Search
    Hyeong Gwon Hong, Pyunghwan Ahn, Junmo Kim
    http://arxiv.org/abs/1912.01237v1

    • [cs.CV]Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation
    Angel Martínez-González, Michael Villamizar, Olivier Canévet, Jean-Marc Odobez
    http://arxiv.org/abs/1912.00711v1

    • [cs.CV]End to End Trainable Active Contours via Differentiable Rendering
    Shir Gur, Tal Shaharabany, Lior Wolf
    http://arxiv.org/abs/1912.00367v1

    • [cs.CV]EventGAN: Leveraging Large Scale Image Datasets for Event Cameras
    Alex Zihao Zhu, Ziyun Wang, Kaung Khant, Kostas Daniilidis
    http://arxiv.org/abs/1912.01584v1

    • [cs.CV]Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition
    Yiyi Zhang, Li Niu, Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang
    http://arxiv.org/abs/1912.00308v1

    • [cs.CV]Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models
    Shruti Bhargava, David Forsyth
    http://arxiv.org/abs/1912.00578v1

    • [cs.CV]Face Detection with Feature Pyramids and Landmarks
    Samuel W. F. Earp, Pavit Noinongyao, Justin A. Cairns, Ankush Ganguly
    http://arxiv.org/abs/1912.00596v1

    • [cs.CV]FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
    Zirui Wang, Shuda Li, Henry Howard-Jenkins, Victor Adrian Prisacariu, Min Chen
    http://arxiv.org/abs/1912.01438v1

    • [cs.CV]GGNN: Graph-based GPU Nearest Neighbor Search
    Fabian Groh, Lukas Ruppert, Patrick Wieschollek, Hendrik P. A. Lensch
    http://arxiv.org/abs/1912.01059v1

    • [cs.CV]Gate-Shift Networks for Video Action Recognition
    Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
    http://arxiv.org/abs/1912.00381v1

    • [cs.CV]Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification
    Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim
    http://arxiv.org/abs/1912.01230v1

    • [cs.CV]IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection
    Youtian Lin, Pengming Feng, Jian Guan
    http://arxiv.org/abs/1912.00969v1

    • [cs.CV]IPG-Net: Image Pyramid Guidance Network for Object Detection
    Ziming Liu, Guangyu Gao, Lin Sun
    http://arxiv.org/abs/1912.00632v1

    • [cs.CV]Image Based Identification of Ghanaian Timbers Using the XyloTron: Opportunities, Risks and Challenges
    Prabu Ravindran, Emmanuel Ebanyenle, Alberta Asi Ebeheakey, Kofi Bonsu Abban, Ophilious Lambog, Richard Soares, Adriana Costa, Alex C. Wiedenhoeft
    http://arxiv.org/abs/1912.00296v1

    • [cs.CV]Improving Model Drift for Robust Object Tracking
    Qiujie Dong, Xuedong He, Haiyan Ge, Qin Liu, Aifu Han, Shengzong Zhou
    http://arxiv.org/abs/1912.00826v1

    • [cs.CV]Information bottleneck through variational glasses
    Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar, Olga Taran, Taras Holotyak, Danilo Jimenez Rezende
    http://arxiv.org/abs/1912.00830v1

    • [cs.CV]Interpreting Context of Images using Scene Graphs
    Himangi Mittal, Ajith Abraham, Anuja Arora
    http://arxiv.org/abs/1912.00501v1

    • [cs.CV]Joint Graph-based Depth Refinement and Normal Estimation
    Mattia Rossi, Mireille El Gheche, Andreas Kuhn, Pascal Frossard
    http://arxiv.org/abs/1912.01306v1

    • [cs.CV]Just Go with the Flow: Self-Supervised Scene Flow Estimation
    Himangi Mittal, Brian Okorn, David Held
    http://arxiv.org/abs/1912.00497v1

    • [cs.CV]LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
    Keunhong Park, Arsalan Mousavian, Yu Xiang, Dieter Fox
    http://arxiv.org/abs/1912.00416v1

    • [cs.CV]Learning to Relate from Captions and Bounding Boxes
    Sarthak Garg, Joel Ruben Antony Moniz, Anshu Aviral, Priyatham Bollimpalli
    http://arxiv.org/abs/1912.00311v1

    • [cs.CV]Learning to Super Resolve Intensity Images from Events
    S. Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon
    http://arxiv.org/abs/1912.01196v1

    • [cs.CV]LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
    Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis
    http://arxiv.org/abs/1912.01601v1

    • [cs.CV]MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
    Sivan Doveh, Eli Schwartz, Chao Xue, Rogerio Feris, Alex Bronstein, Raja Giryes, Leonid Karlinsky
    http://arxiv.org/abs/1912.00412v2

    • [cs.CV]Mixture Dense Regression for Object Detection and Human Pose Estimation
    Ali Varamesh, Tinne Tuytelaars
    http://arxiv.org/abs/1912.00821v1

    • [cs.CV]MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
    Bo Chen, Golnaz Ghiasi, Hanxiao Liu, Tsung-Yi Lin, Dmitry Kalenichenko, Hartwig Adams, Quoc V. Le
    http://arxiv.org/abs/1912.01106v1

    • [cs.CV]More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
    Quanfu Fan, Chun-Fu Chen, Hilde Kuehne, Marco Pistoia, David Cox
    http://arxiv.org/abs/1912.00869v1

    • [cs.CV]Morphing and Sampling Network for Dense Point Cloud Completion
    Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu
    http://arxiv.org/abs/1912.00280v1

    • [cs.CV]Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks
    Zhichao Lu, Ian Whalen, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti
    http://arxiv.org/abs/1912.01369v1

    • [cs.CV]Multi-resolution Graph Neural Network for Identifying Disease-specific Variations in Brain Connectivity
    Xin Ma, Guorong Wu, Won Hwa Kim
    http://arxiv.org/abs/1912.01181v1

    • [cs.CV]Patchy Image Structure Classification Using Multi-Orientation Region Transform
    Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan
    http://arxiv.org/abs/1912.00622v1

    • [cs.CV]Pruning at a Glance: Global Neural Pruning for Model Compression
    Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
    http://arxiv.org/abs/1912.00200v2

    • [cs.CV]QUEST: Quantized embedding space for transferring knowledge
    Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
    http://arxiv.org/abs/1912.01540v1

    • [cs.CV]RGPNet: A Real-Time General Purpose Semantic Segmentation
    Elahe Arani, Shabbir Marzban, Andrei Pata, Bahram Zonooz
    http://arxiv.org/abs/1912.01394v1

    • [cs.CV]RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition
    Yi Zhang, Xinyue Wei, Weichao Qiu, Zihao Xiao, Gregory D. Hager, Alan Yuille
    http://arxiv.org/abs/1912.01180v1

    • [cs.CV]RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving
    Mohamed Ramzy, Hazem Rashed, Ahmad El Sallab, Senthil Yogamani
    http://arxiv.org/abs/1912.00438v1

    • [cs.CV]Real-Time Panoptic Segmentation from Dense Detections
    Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome Lynch, Adrien Gaidon
    http://arxiv.org/abs/1912.01202v1

    • [cs.CV]Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
    Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann
    http://arxiv.org/abs/1912.00623v1

    • [cs.CV]Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance
    Jag Mohan Singh, Raghavendra Ramachandra, Kiran B. Raja, Christoph Busch
    http://arxiv.org/abs/1912.01372v1

    • [cs.CV]SAIS: Single-stage Anchor-free Instance Segmentation
    Canqun Xiang, Shishun Tian, Wenbin Zou, Chen Xu
    http://arxiv.org/abs/1912.01176v1

    • [cs.CV]SPSTracker: Sub-Peak Suppression of Response Map for Robust Object Tracking
    Qintao Hu, Lijun Zhou, Xiaoxiao Wang, Yao Mao, Jianlin Zhang, Qixiang Ye
    http://arxiv.org/abs/1912.00597v1

    • [cs.CV]Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues
    Chhavi Dhiman, Dinesh Kumar Vishwakarma, Paras Aggarwal
    http://arxiv.org/abs/1912.00576v1

    • [cs.CV]Supervised and Unsupervised End-to-End Deep Learning for Gene Ontology Classification of Neural In Situ Hybridization Images
    Ido Cohen, Eli David, Nathan S. Netanyahu
    http://arxiv.org/abs/1912.01494v1

    • [cs.CV]The Analysis of Projective Transformation Algorithms for Image Recognition on Mobile Devices
    Anton Trusov, Elena Limonova
    http://arxiv.org/abs/1912.01401v1

    • [cs.CV]The Group Loss for Deep Metric Learning
    Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixe
    http://arxiv.org/abs/1912.00385v1

    • [cs.CV]Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
    Zhaohui Yang, Miaojing Shi, Yannis Avrithis, Chao Xu, Vittorio Ferrari
    http://arxiv.org/abs/1912.00384v1

    • [cs.CV]Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion
    Igor Janiszewski, Dmitry Slugin, Vladimir V. Arlazarov
    http://arxiv.org/abs/1912.00664v1

    • [cs.CV]Urban Driving with Conditional Imitation Learning
    Jeffrey Hawke, Richard Shen, Corina Gurau, Siddharth Sharma, Daniele Reda, Nikolay Nikolov, Przemyslaw Mazur, Sean Micklethwaite, Nicolas Griffiths, Amar Shah, Alex Kendall
    http://arxiv.org/abs/1912.00177v1

    • [cs.CV]View-Invariant Probabilistic Embedding for Human Pose
    Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
    http://arxiv.org/abs/1912.01001v1

    • [cs.CV]Viewpoint-Aware Loss with Angular Regularization for Person Re-Identification
    Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Weishi Zheng, Xing Sun
    http://arxiv.org/abs/1912.01300v1

    • [cs.CY]A city-scale IoT-enabled ridesharing platform
    Claudio Gambella, Julien Monteil, Anton Dekusar, Sergio Cabrero Barros, Andrea Simonetto, Yassine Lassoued
    http://arxiv.org/abs/1912.00648v1

    • [cs.CY]EduBERT: Pretrained Deep Language Models for Learning Analytics
    Benjamin Clavié, Kobi Gal
    http://arxiv.org/abs/1912.00690v1

    • [cs.CY]Facilitating on-line opinion dynamics by mining expressions of causation. The case of climate change debates on The Guardian
    Tom Willaert, Sven Banisch, Paul Van Eecke, Katrien Beuls
    http://arxiv.org/abs/1912.01252v1

    • [cs.CY]Introduction to Computational Thinking: a new high school curriculum using CodeWorld
    Fernando Alegre, John Underwoood, Juana Moreno, Mario Alegre
    http://arxiv.org/abs/1912.00237v1

    • [cs.DB]Lambada: Interactive Data Analytics on Cold Data using Serverless Cloud Infrastructure
    Ingo Müller, Renato Marroquín, Gustavo Alonso
    http://arxiv.org/abs/1912.00937v1

    • [cs.DB]Ontologies for the Virtual Materials Marketplace
    Martin Thomas Horsch, Silvia Chiacchiera, Michael A. Seaton, Ilian T. Todorov, Karel Šindelka, Martin Lísal, Barbara Andreon, Esteban Bayro Kaiser, Gabriele Mogni, Gerhard Goldbeck, Ralf Kunze, Georg Summer, Andreas Fiseni, Hauke Brüning, Peter Schiffels, Welchy Leite Cavalcanti
    http://arxiv.org/abs/1912.01519v1

    • [cs.DC]A Hybrid Graph Coloring Algorithm for GPUs
    Shanthanu S Rai, Rohit M P, Sreepathi Pai
    http://arxiv.org/abs/1912.01478v1

    • [cs.DC]A Novel FPGA-Based High Throughput Accelerator For Binary Search Trees
    Oyku Melikoglu, Oguz Ergin, Behzad Salami, Julian Pavon, Osman Unsal, Adrian Cristal
    http://arxiv.org/abs/1912.01556v1

    • [cs.DC]Achieving Determinism in Adaptive AUTOSAR
    Christian Menard, Andres Goens, Marten Lohstroh, Jeronimo Castrillon
    http://arxiv.org/abs/1912.01367v1

    • [cs.DC]BlockLot: Blockchain based Verifiable Lottery
    Yongrae Jo, Chanik Park
    http://arxiv.org/abs/1912.00642v1

    • [cs.DC]Drndalo: Lightweight Control Flow Obfuscation Through Minimal Processor/Compiler Co-Design
    Novak Boskov, Mihailo Isakov, Michel A. Kinsy
    http://arxiv.org/abs/1912.01560v1

    • [cs.DC]Evaluating Reliability of SSD-Based I/O Caches in Enterprise Storage Systems
    Saba Ahmadian, Farhad Taheri, Hossein Asadi
    http://arxiv.org/abs/1912.01555v1

    • [cs.DC]Federated Learning with Autotuned Communication-Efficient Secure Aggregation
    Keith Bonawitz, Fariborz Salehi, Jakub Konečný, Brendan McMahan, Marco Gruteser
    http://arxiv.org/abs/1912.00131v1

    • [cs.DC]GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks
    Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy
    http://arxiv.org/abs/1912.00966v1

    • [cs.DC]GPU Support for Automatic Generation of Finite-Differences Stencil Kernels
    Vitor Hugo Mickus Rodrigues, Lucas Cavalcante, Maelso Bruno Pereira, Fabio Luporini, István Reguly, Gerard Gorman, Samuel Xavier de Souza
    http://arxiv.org/abs/1912.00695v1

    • [cs.DC]LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
    B. Salami, K. Parasyris, A. Cristal, O. Unsal, X. Martorell, P. Carpenter, R. De La Cruz, L. Bautista, D. Jimenez, C. Alvarez, S. Nabavi, S. Madonar, M. Pericas, P. Trancoso, M. Abduljabbar, J. Chen, P. N. Soomro, M Manivannan, M. Berge, S. Krupop, F. Klawonn, Al Mekhlafi, S. May, T. Becker, G. Gaydadjiev, D. Odman, H. Salomonsson, D. Dubhashi, O. Port, Y. Etsion, Le Quoc Do, Christof Fetzer, M. Kaiser, N. Kucza, J. Hagemeyer, R. Griessl, L. Tigges, K. Mika, A. Huffmeier, Th. Jungeblu, M. Pasin, V. Schiavoni, I. Rocha, C. Gottel, P. Felber
    http://arxiv.org/abs/1912.01563v1

    • [cs.DC]MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud
    Vatche Ishakian, Azer Bestavros, Assaf Kfoury
    http://arxiv.org/abs/1912.00549v1

    • [cs.DC]Mathematical Analysis and Algorithms for Federated Byzantine Agreement Systems
    André Gaul, Ismail Khoffi, Jörg Liesen, Torsten Stüber
    http://arxiv.org/abs/1912.01365v1

    • [cs.DC]Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink
    Basilis Mamalis
    http://arxiv.org/abs/1912.01146v1

    • [cs.DC]Recent Developments in Iterative Methods for Reducing Synchronization
    Qinmeng Zou, Frederic Magoules
    http://arxiv.org/abs/1912.00816v1

    • [cs.DC]Value-driven Manufacturing Planning using Cloud-based Evolutionary Optimisation
    Shuai Zhao, Piotr Dziurzanski, Leandro Soares Indrusiak
    http://arxiv.org/abs/1912.01562v1

    • [cs.DL]The future of urban models in the Big Data and AI era: a bibliometric analysis (2000-2019)
    Marion Maisonobe
    http://arxiv.org/abs/1912.00532v1

    • [cs.DS]Scalable Graph Algorithms
    Christian Schulz
    http://arxiv.org/abs/1912.00245v1

    • [cs.ET]Road traffic reservoir computing
    Hiroyasu Ando, Hanten Chang
    http://arxiv.org/abs/1912.00554v1

    • [cs.FL]Classifying Pattern and Feature Properties to Get a $Θ(n)$ Checker and Reformulation for Sliding Time-Series Constraints
    Nicolas Beldiceanu, Mats Carlsson, Claude-Guy Quimper, Maria-Isabel Restrepo-Ruiz
    http://arxiv.org/abs/1912.01532v1

    • [cs.GR]A Bayesian Inference Framework for Procedural Material Parameter Estimation
    Yu Guo, Milos Hasan, Lingqi Yan, Shuang Zhao
    http://arxiv.org/abs/1912.01067v1

    • [cs.GT]Experimental Evidence for Asymptotic Non-Optimality of Comb Adversary Strategy
    Zachary Chase
    http://arxiv.org/abs/1912.01548v1

    • [cs.HC]Addict Free — A Smart and Connected Relapse Intervention Mobile App
    Zhou Yang, Vinay Jayachandra Reddy, Rashmi Kesidi, Fang Jin
    http://arxiv.org/abs/1912.01130v1

    • [cs.HC]Heterogeneous Label Space Transfer Learning for Brain-Computer Interfaces: A Label Alignment Approach
    He He, Dongrui Wu
    http://arxiv.org/abs/1912.01166v1

    • [cs.HC]KRM-based Dialogue Management
    Wenwu Qu, Xiaoyu Chi, Wei Zheng
    http://arxiv.org/abs/1912.00669v1

    • [cs.HC]Talking with Robots: Opportunities and Challenges
    Roger K. Moore
    http://arxiv.org/abs/1912.00369v1

    • [cs.HC]Writing Across the World’s Languages: Deep Internationalization for Gboard, the Google Keyboard
    Daan van Esch, Elnaz Sarbar, Tamar Lucassen, Jeremy O’Brien, Theresa Breiner, Manasa Prasad, Evan Crew, Chieu Nguyen, Françoise Beaufays
    http://arxiv.org/abs/1912.01218v1

    • [cs.IR]A Fast Matrix-Completion-Based Approach for Recommendation Systems
    Meng Qiao, Zheng Shan, Fudong Liu, Wenjie Sun
    http://arxiv.org/abs/1912.00600v1

    • [cs.IR]A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection
    Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux
    http://arxiv.org/abs/1912.00667v1

    • [cs.IR]An Investigation of Biases in Web Search Engine Query Suggestions
    Malte Bonart, Anastasiia Samokhina, Gernot Heisenberg, Philipp Schaer
    http://arxiv.org/abs/1912.00651v1

    • [cs.IR]Latent Semantic Search and Information Extraction Architecture
    Anton Kolonin
    http://arxiv.org/abs/1912.00180v1

    • [cs.IR]Learning a faceted customer segmentation for discovering new business opportunities at Intel
    Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope
    http://arxiv.org/abs/1912.00778v1

    • [cs.IR]Semantic Enrichment of Streaming Healthcare Data
    Daniel Cotter, V. K. Cody Bumgardner
    http://arxiv.org/abs/1912.00423v1

    • [cs.IR]TU Wien @ TREC Deep Learning ‘19 — Simple Contextualization for Re-ranking
    Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
    http://arxiv.org/abs/1912.01385v1

    • [cs.IR]Towards an Integrative Educational Recommender for Lifelong Learners
    Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
    http://arxiv.org/abs/1912.01592v1

    • [cs.IT]AI-Assisted Low Information Latency Wireless Networking
    Zhiyuan Jiang, Siyu Fu, Sheng Zhou, Zhisheng Niu, Shunqing Zhang, Shugong Xu
    http://arxiv.org/abs/1912.01319v1

    • [cs.IT]An Introduction to Communication Efficient Edge Machine Learning
    Qiao Lan, Zezhong Zhang, Yuqing Du, Zhenyi Lin, Kaibin Huang
    http://arxiv.org/abs/1912.01554v1

    • [cs.IT]Capacity-Approaching Polar Codes with Long Codewords and Successive Cancellation Decoding Based on Improved Gaussian Approximation
    Hideki Ochiai, Patrick Mitran, H. Vincent Poor
    http://arxiv.org/abs/1912.00098v1

    • [cs.IT]Constructions of (2, 1, 2) complete j-MDP convolutional codes
    Paulo J. Almeida, Julia Lieb
    http://arxiv.org/abs/1912.00184v1

    • [cs.IT]Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes
    Seyyed Ali Hashemi, Nghia Doan, Thibaud Tonnellier, Warren J. Gross
    http://arxiv.org/abs/1912.01086v1

    • [cs.IT]Energy Efficiency Optimization: A New Trade-off Between Fairness and Total System Performance
    Christos N. Efrem, Athanasios D. Panagopoulos
    http://arxiv.org/abs/1912.00220v1

    • [cs.IT]Generalization Error Bounds Via Rényi-, $f$-Divergences and Maximal Leakage
    Amedeo Roberto Esposito, Michael Gastpar, Ibrahim Issa
    http://arxiv.org/abs/1912.01439v1

    • [cs.IT]Grant-Free Massive Random Access With a Massive MIMO Receiver
    Alexander Fengler, Saeid Haghighatshoar, Peter Jung, Giuseppe Caire
    http://arxiv.org/abs/1912.01459v1

    • [cs.IT]IRS-Enhanced OFDMA: Joint Resource Allocation and Passive Beamforming Optimization
    Yifei Yang, Shuowen Zhang, Rui Zhang
    http://arxiv.org/abs/1912.01228v1

    • [cs.IT]Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels
    Yahia Alghorani, Member, IEEE, Ahmad Chekkouri, Member, IEEE, Djabir Chekired, Student Member, IEEE, Sami Muhaidat, Senior Member, IEEE, Samuel Pierre, Senior Member, IEEE, Mark Flanagan, Senior Member, IEEE
    http://arxiv.org/abs/1912.01342v1

    • [cs.IT]Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
    Xingjian Li, Jun Fang, Feifei Gao, Hongbin Li
    http://arxiv.org/abs/1912.00728v1

    • [cs.IT]New inconsistency indicators for incomplete pairwise comparisons matrices
    Jacek Szybowski, Konrad Kułakowski, Anna Prusak
    http://arxiv.org/abs/1912.00505v1

    • [cs.IT]On a generalization of the Jensen-Shannon divergence
    Frank Nielsen
    http://arxiv.org/abs/1912.00610v2

    • [cs.IT]On the connection between Deutsch-Jozsa algorithm and bent functions
    Eraldo Pereira Marinho
    http://arxiv.org/abs/1912.01549v1

    • [cs.IT]PAPR-Limited Precoding in Massive MIMO Systems with Reflect- and Transmit-Array Antennas
    Ali Bereyhi, Vahid Jamali, Ralf R. Müller, Georg Fischer, Robert Schober, Antonia M. Tulino
    http://arxiv.org/abs/1912.00485v1

    • [cs.IT]Radio Map Based 3D Path Planning for Cellular-Connected UAV
    Shuowen Zhang, Rui Zhang
    http://arxiv.org/abs/1912.00021v1

    • [cs.IT]Reconfigurable Intelligent Surfaces assisted Communications with Limited Phase Shifts: How Many Phase Shifts Are Enough?
    Hongliang Zhang, Boya Di, Lingyang Song, Zhu Han
    http://arxiv.org/abs/1912.01477v1

    • [cs.IT]Reconsidering Design of Multi-Antenna NOMA Systems with Limited Feedback
    Zhiyao Tang, Liang Sun, Lu Cao, Shutong Qi, and Yong Feng
    http://arxiv.org/abs/1912.00406v1

    • [cs.IT]Robust and Secure Wireless Communications via Intelligent Reflecting Surfaces
    Xianghao Yu, Dongfang Xu, Ying Sun, Derrick Wing Kwan Ng, Robert Schober
    http://arxiv.org/abs/1912.01497v1

    • [cs.IT]Secure Regularized Zero Forcing for Multiuser MIMOME Channels
    Saba Asaad, Ali Bereyhi, Ralf R. Müller, Rafael F. Schaefer
    http://arxiv.org/abs/1912.00486v1

    • [cs.IT]Short-Packet Transmission over a Bidirectional Massive MIMO link
    Johan Östman, Alejandro Lancho, Giuseppe Durisi
    http://arxiv.org/abs/1912.00718v1

    • [cs.IT]Structure of Optimal Cache Placement for Coded Caching with Heterogeneous Demands
    Yong Deng, Min Dong
    http://arxiv.org/abs/1912.01082v1

    • [cs.IT]Using Massive MIMO Arrays for Joint Communication and Sensing
    Stefano Buzzi, Carmen D’Andrea, Marco Lops
    http://arxiv.org/abs/1912.00410v1

    • [cs.IT]Zero Crossing Modulation for Communication with Temporally Oversampled 1-Bit Quantization
    Gerhard Fettweis, Meik Dörpinghaus, Sandra Bender, Lukas Landau, Peter Neuhaus, Martin Schlüter
    http://arxiv.org/abs/1912.00976v1

    • [cs.LG]“How do urban incidents affect traffic speed?” A Deep Graph Convolutional Network for Incident-driven Traffic Speed Prediction
    Qinge Xie, Tiancheng Guo, Yang Chen, Yu Xiao, Xin Wang, Ben Y. Zhao
    http://arxiv.org/abs/1912.01242v1

    • [cs.LG]A Comparative Study of Pretrained Language Models on Thai Social Text Categorization
    Thanapapas Horsuwan, Kasidis Kanwatchara, Peerapon Vateekul, Boonserm Kijsirikul
    http://arxiv.org/abs/1912.01580v1

    • [cs.LG]A Contextual-Bandit Approach to Online Learning to Rank for Relevance and Diversity
    Chang Li, Haoyun Feng, Maarten de Rijke
    http://arxiv.org/abs/1912.00508v2

    • [cs.LG]A Hidden Variables Approach to Multilabel Logistic Regression
    Jaemoon Lee, Hoda Shajari
    http://arxiv.org/abs/1912.01241v1

    • [cs.LG]A Method for Computing Class-wise Universal Adversarial Perturbations
    Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
    http://arxiv.org/abs/1912.00466v1

    • [cs.LG]A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression
    Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang
    http://arxiv.org/abs/1912.00513v1

    • [cs.LG]AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
    Rizal Fathony, J. Zico Kolter
    http://arxiv.org/abs/1912.00965v1

    • [cs.LG]Adaptive Divergence for Rapid Adversarial Optimization
    Maxim Borisyak, Tatiana Gaintseva, Andrey Ustyuzhanin
    http://arxiv.org/abs/1912.00520v1

    • [cs.LG]Adaptive Online Planning for Continual Lifelong Learning
    Kevin Lu, Igor Mordatch, Pieter Abbeel
    http://arxiv.org/abs/1912.01188v1

    • [cs.LG]Adversarial normalization for multi domain image segmentation
    Pierre-Luc Delisle, Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert
    http://arxiv.org/abs/1912.00993v1

    • [cs.LG]Adversary A3C for Robust Reinforcement Learning
    Zhaoyuan Gu, Zhenzhong Jia, Howie Choset
    http://arxiv.org/abs/1912.00330v1

    • [cs.LG]An Anomaly Contribution Explainer for Cyber-Security Applications
    Xiao Zhang, Manish Marwah, I-ta Lee, Martin Arlitt, Dan Goldwasser
    http://arxiv.org/abs/1912.00314v1

    • [cs.LG]Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network
    YeongHyeon Park, Won Seok Park, Yeong Beom Kim, Seok Woong Chang
    http://arxiv.org/abs/1912.00583v1

    • [cs.LG]Automated curriculum generation for Policy Gradients from Demonstrations
    Anirudh Srinivasan, Dzmitry Bahdanau, Maxime Chevalier-Boisvert, Yoshua Bengio
    http://arxiv.org/abs/1912.00444v1

    • [cs.LG]Automated speech-based screening of depression using deep convolutional neural networks
    Karol Chlasta, Krzysztof Wołk, Izabela Krejtz
    http://arxiv.org/abs/1912.01115v1

    • [cs.LG]Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network
    Shuhan Zhang, Wenlong Lyu, Fan Yang, Changhao Yan, Dian Zhou, Xuan Zeng
    http://arxiv.org/abs/1912.00402v1

    • [cs.LG]CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data
    Nora Vogt
    http://arxiv.org/abs/1912.00852v1

    • [cs.LG]Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels
    Shuang Song, David Berthelot, Afshin Rostamizadeh
    http://arxiv.org/abs/1912.00594v2

    • [cs.LG]Continuous Graph Neural Networks
    Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang
    http://arxiv.org/abs/1912.00967v1

    • [cs.LG]Continuous Online Learning and New Insights to Online Imitation Learning
    Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots
    http://arxiv.org/abs/1912.01261v1

    • [cs.LG]Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
    Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
    http://arxiv.org/abs/1912.00888v1

    • [cs.LG]Deep Probabilistic Models to Detect Data Poisoning Attacks
    Mahesh Subedar, Nilesh Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo
    http://arxiv.org/abs/1912.01206v1

    • [cs.LG]DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements
    Peng Xiao, Bin Liao, Nikos Deligiannis
    http://arxiv.org/abs/1912.00838v2

    • [cs.LG]Diagnostic Curves for Black Box Models
    David I. Inouye, Liu Leqi, Joon Sik Kim, Bryon Aragam, Pradeep Ravikumar
    http://arxiv.org/abs/1912.01108v1

    • [cs.LG]Differential Bayesian Neural Nets
    Look Andreas, Melih Kandemir
    http://arxiv.org/abs/1912.00796v1

    • [cs.LG]Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations
    Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel
    http://arxiv.org/abs/1912.00163v1

    • [cs.LG]Dream to Control: Learning Behaviors by Latent Imagination
    Danijar Hafner, Timothy Lillicrap, Jimmy Ba, Mohammad Norouzi
    http://arxiv.org/abs/1912.01603v1

    • [cs.LG]Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints
    Brighter Agyemang, Wei-Ping Wu, Michael Y. Kpiebaareh, Ebenezer Nanor
    http://arxiv.org/abs/1912.01163v1

    • [cs.LG]EMAP: Explanation by Minimal Adversarial Perturbation
    Matt Chapman-Rounds, Marc-Andre Schulz, Erik Pazos, Konstantinos Georgatzis
    http://arxiv.org/abs/1912.00872v1

    • [cs.LG]Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
    Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Jiacheng Zhuo
    http://arxiv.org/abs/1912.00858v1

    • [cs.LG]Event Ticket Price Prediction with Deep Neural Network on Spatial-Temporal Sparse Data
    Fei Huang, Hao Huang
    http://arxiv.org/abs/1912.01139v1

    • [cs.LG]ExperienceThinking: Hyperparameter Optimization with Budget Constraints
    Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao
    http://arxiv.org/abs/1912.00602v1

    • [cs.LG]FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation
    Le-Ha Hoang, Muhammad Abdullah Hanif, Muhammad Shafique
    http://arxiv.org/abs/1912.00941v1

    • [cs.LG]Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size
    Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao
    http://arxiv.org/abs/1912.00362v1

    • [cs.LG]Fastened CROWN: Tightened Neural Network Robustness Certificates
    Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel
    http://arxiv.org/abs/1912.00574v1

    • [cs.LG]Federated Learning with Personalization Layers
    Manoj Ghuhan Arivazhagan, Vinay Aggarwal, Aaditya Kumar Singh, Sunav Choudhary
    http://arxiv.org/abs/1912.00818v1

    • [cs.LG]Gaussian Embedding of Large-scale Attributed Graphs
    Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray Buntine
    http://arxiv.org/abs/1912.00536v1

    • [cs.LG]GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
    Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch, René Garello, Ronan Fablet
    http://arxiv.org/abs/1912.00682v1

    • [cs.LG]Is Discriminator a Good Feature Extractor?
    Xin Mao, Zhaoyu Su, Pin Siang Tan, Jun Kang Chow, Yu-Hsing Wang
    http://arxiv.org/abs/1912.00789v1

    • [cs.LG]KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling
    Yufan Zhou, Changyou Chen, Jinhui Xu
    http://arxiv.org/abs/1912.00979v1

    • [cs.LG]LOGAN: Latent Optimisation for Generative Adversarial Networks
    Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap
    http://arxiv.org/abs/1912.00953v1

    • [cs.LG]Latent Replay for Real-Time Continual Learning
    Lorenzo Pellegrini, Gabrile Graffieti, Vincenzo Lomonaco, Davide Maltoni
    http://arxiv.org/abs/1912.01100v1

    • [cs.LG]Learning Adversarial MDPs with Bandit Feedback and Unknown Transition
    Tiancheng Jin, Haipeng Luo
    http://arxiv.org/abs/1912.01192v1

    • [cs.LG]Learning Spatially Structured Image Transformations Using Planar Neural Networks
    Joel Michelson, Joshua H. Palmer, Aneesha Dasari, Maithilee Kunda
    http://arxiv.org/abs/1912.01553v1

    • [cs.LG]Learning to smell for wellness
    Kehinde Owoeye
    http://arxiv.org/abs/1912.00895v1

    • [cs.LG]Less Is Better: Unweighted Data Subsampling via Influence Function
    Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang
    http://arxiv.org/abs/1912.01321v1

    • [cs.LG]Leveraging Procedural Generation to Benchmark Reinforcement Learning
    Karl Cobbe, Christopher Hesse, Jacob Hilton, John Schulman
    http://arxiv.org/abs/1912.01588v1

    • [cs.LG]Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers
    Jayanta Dey, Mohammad Ariful Haque
    http://arxiv.org/abs/1912.00519v1

    • [cs.LG]Long Distance Relationships without Time Travel: Boosting the Performance of a Sparse Predictive Autoencoder in Sequence Modeling
    Jeremy Gordon, David Rawlinson, Subutai Ahmad
    http://arxiv.org/abs/1912.01116v1

    • [cs.LG]Machine learning applications in time series hierarchical forecasting
    Mahdi Abolghasemi, Rob J Hyndman, Garth Tarr, Christoph Bergmeir
    http://arxiv.org/abs/1912.00370v1

    • [cs.LG]Make Thunderbolts Less Frightening — Predicting Extreme Weather Using Deep Learning
    Christian Schön, Jens Dittrich
    http://arxiv.org/abs/1912.01277v1

    • [cs.LG]Mixing autoencoder with classifier: conceptual data visualization
    Pitoyo Hartono
    http://arxiv.org/abs/1912.01137v1

    • [cs.LG]Model Embedded DRL for Intelligent Greenhouse Control
    Tinghao Zhang, Jingxu Li, Jingfeng Li, Ling Wang, Feng Li, Jie Liu
    http://arxiv.org/abs/1912.00020v1

    • [cs.LG]Multi-view Subspace Clustering via Partition Fusion
    Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu
    http://arxiv.org/abs/1912.01201v1

    • [cs.LG]Multiscale Self Attentive Convolutions for Vision and Language Modeling
    Oren Barkan
    http://arxiv.org/abs/1912.01521v1

    • [cs.LG]Music Style Classification with Compared Methods in XGB and BPNN
    Lifeng Tan, Cong Jin, Zhiyuan Cheng, Xin Lv, Leiyu Song
    http://arxiv.org/abs/1912.01203v1

    • [cs.LG]Neural Network Branching for Neural Network Verification
    Jingyue Lu, M. Pawan Kumar
    http://arxiv.org/abs/1912.01329v1

    • [cs.LG]Neural Predictor for Neural Architecture Search
    Wei Wen, Hanxiao Liu, Hai Li, Yiran Chen, Gabriel Bender, Pieter-Jan Kindermans
    http://arxiv.org/abs/1912.00848v1

    • [cs.LG]Not All Attention Is Needed: Gated Attention Network for Sequence Data
    Lanqing Xue, Xiaopeng Li, Nevin L. Zhang
    http://arxiv.org/abs/1912.00349v1

    • [cs.LG]On the Delta Method for Uncertainty Approximation in Deep Learning
    Geir K. Nilsen, Antonella Z. Munthe-Kaas, Hans J. Skaug, Morten Brun
    http://arxiv.org/abs/1912.00832v1

    • [cs.LG]On-policy Reinforcement Learning with Entropy Regularization
    Jingbin Liu, Xinyang Gu, Dexiang Zhang, Shuai Liu
    http://arxiv.org/abs/1912.01557v1

    • [cs.LG]Online Knowledge Distillation with Diverse Peers
    Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen
    http://arxiv.org/abs/1912.00350v1

    • [cs.LG]Optimal Laplacian regularization for sparse spectral community detection
    Lorenzo Dall’Amico, Romain Couillet, Nicolas Tremblay
    http://arxiv.org/abs/1912.01419v1

    • [cs.LG]Optimization for Reinforcement Learning: From Single Agent to Cooperative Agents
    Donghwan Lee, Niao He, Parameswaran Kamalaruban, Volkan Cevher
    http://arxiv.org/abs/1912.00498v1

    • [cs.LG]Overcoming Catastrophic Forgetting by Generative Regularization
    Patrick H. Chen, Wei Wei, Cho-jui, Hsieh, Bo Dai
    http://arxiv.org/abs/1912.01238v1

    • [cs.LG]Predicting Soil pH by Using Nearest Fields
    Quoc Hung Ngo, Nhien-An Le-Khac, Tahar Kechadi
    http://arxiv.org/abs/1912.01303v1

    • [cs.LG]Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
    Pulkit Sharma, Farah E Shamout, David A Clifton
    http://arxiv.org/abs/1912.00354v1

    • [cs.LG]Rank Aggregation via Heterogeneous Thurstone Preference Models
    Tao Jin, Pan Xu, Quanquan Gu, Farzad Farnoud
    http://arxiv.org/abs/1912.01211v1

    • [cs.LG]Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
    Avrim Blum, Kevin Stangl
    http://arxiv.org/abs/1912.01094v1

    • [cs.LG]Risk Bounds for Low Cost Bipartite Ranking
    San Gultekin, John Paisley
    http://arxiv.org/abs/1912.00537v1

    • [cs.LG]Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders
    Shen Zhang, Fei Ye, Bingnan Wang, Thomas G. Habetler
    http://arxiv.org/abs/1912.01096v1

    • [cs.LG]Sparse Graph Attention Networks
    Yang Ye, Shihao Ji
    http://arxiv.org/abs/1912.00552v1

    • [cs.LG]Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates
    Dmitry Kovalev, Konstantin Mishchenko, Peter Richtárik
    http://arxiv.org/abs/1912.01597v1

    • [cs.LG]Structure Learning with Similarity Preserving
    Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu
    http://arxiv.org/abs/1912.01197v1

    • [cs.LG]TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP
    Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein
    http://arxiv.org/abs/1912.00982v1

    • [cs.LG]The Comparison of Methods for Individual Treatment Effect Detection
    Aleksey Buzmakov, Daria Semenova, Maria Temirkaeva
    http://arxiv.org/abs/1912.01443v1

    • [cs.LG]The Knowledge Within: Methods for Data-Free Model Compression
    Matan Haroush, Itay Hubara, Elad Hoffer, Daniel Soudry
    http://arxiv.org/abs/1912.01274v1

    • [cs.LG]The intriguing role of module criticality in the generalization of deep networks
    Niladri S. Chatterji, Behnam Neyshabur, Hanie Sedghi
    http://arxiv.org/abs/1912.00528v1

    • [cs.LG]Towards Understanding the Spectral Bias of Deep Learning
    Yuan Cao, Zhiying Fang, Yue Wu, Ding-Xuan Zhou, Quanquan Gu
    http://arxiv.org/abs/1912.01198v1

    • [cs.LG]Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA)
    Wen Zhang, Dongrui Wu
    http://arxiv.org/abs/1912.00320v1

    • [cs.LG]Using Dimensionality Reduction to Optimize t-SNE
    Rikhav Shah, Sandeep Silwal
    http://arxiv.org/abs/1912.01098v1

    • [cs.LG]Using Laplacian Spectrum as Graph Feature Representation
    Edouard Pineau
    http://arxiv.org/abs/1912.00735v1

    • [cs.LG]Value-laden Disciplinary Shifts in Machine Learning
    Ravit Dotan, Smitha Milli
    http://arxiv.org/abs/1912.01172v1

    • [cs.LG]XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
    Yue Zhao, Maciej K. Hryniewicki
    http://arxiv.org/abs/1912.00290v1

    • [cs.LG]scikit-hubness: Hubness Reduction and Approximate Neighbor Search
    Roman Feldbauer, Thomas Rattei, Arthur Flexer
    http://arxiv.org/abs/1912.00706v1

    • [cs.LO]FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints
    Anastasios Kyrillidis, Anshumali Shrivastava, Moshe Y. Vardi, Zhiwei Zhang
    http://arxiv.org/abs/1912.01032v1

    • [cs.MA]MANELA: A Multi-Agent Algorithm for Learning Network Embeddings
    Han Zhang, Hong Xu
    http://arxiv.org/abs/1912.00303v1

    • [cs.MM]An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios
    Jungwoo Pyo, Joohyun Lee, Youngjune Park, Tien-Cuong Bui, Sang Kyun Cha
    http://arxiv.org/abs/1912.00649v1

    • [cs.MS]PFASST-ER: Combining the Parallel Full Approximation Scheme in Space and Time with parallelization across the method
    Ruth Schöbel, Robert Speck
    http://arxiv.org/abs/1912.00702v1

    • [cs.NE]MSTDP: A More Biologically Plausible Learning
    Shiyuan Li
    http://arxiv.org/abs/1912.00009v1

    • [cs.NE]Optimizing the energy consumption of spiking neural networks for neuromorphic applications
    Martino Sorbaro, Qian Liu, Massimo Bortone, Sadique Sheik
    http://arxiv.org/abs/1912.01268v1

    • [cs.NE]Simulation of neural function in an artificial Hebbian network
    J. Campbell Scott, Thomas F. Hayes, Ahmet S. Ozcan, Winfried W. Wilcke
    http://arxiv.org/abs/1912.01088v1

    • [cs.NI]Age of Information in Random Access Channels
    Xingran Chen, Konstantinos Gatsis, Hamed Hassani, Shirin Saeedi Bidokhti
    http://arxiv.org/abs/1912.01473v1

    • [cs.NI]Contribution to the design and the implementation of a Cloud Radio Access Network
    Veronica Quintuna Rodriguez, Fabrice Guillemin
    http://arxiv.org/abs/1912.00842v1

    • [cs.NI]Dynamic Energy-Efficient Power Allocation in Multibeam Satellite Systems
    Christos N. Efrem, Athanasios D. Panagopoulos
    http://arxiv.org/abs/1912.00920v1

    • [cs.PF]BenchCouncil’s View on Benchmarking AI and Other Emerging Workloads
    Jianfeng Zhan, Lei Wang, Wanling Gao, Rui Ren
    http://arxiv.org/abs/1912.00572v2

    • [cs.PL]Proving Data-Poisoning Robustness in Decision Trees
    Samuel Drews, Aws Albarghouthi, Loris D’Antoni
    http://arxiv.org/abs/1912.00981v1

    • [cs.RO]A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation
    Xi Lin, Dingyi Sun, Tzu-Yuan Lin, Ryan M. Eustice, Maani Ghaffari
    http://arxiv.org/abs/1912.01064v1

    • [cs.RO]AD-EYE: A Co-simulation Platform for Early Verification of Functional Safety Concepts
    Naveen Mohan, Martin Törngren
    http://arxiv.org/abs/1912.00448v1

    • [cs.RO]Augmented Reality for Human-Swarm Interaction in a Swarm-Robotic Chemistry Simulation
    Sumeet Batra, John Klingner, Nikolaus Correll
    http://arxiv.org/abs/1912.00951v1

    • [cs.RO]Comparison and Evaluation of 2D and 3D Range Sensors
    Qingwen Xu, Sören Schwertfeger
    http://arxiv.org/abs/1912.01297v1

    • [cs.RO]Design, modelling and control of a novel agricultural robot with interlock drive system
    David Reiser, Volker Nannen, Gero Hubel, Hans W. Griepentrog
    http://arxiv.org/abs/1912.00413v1

    • [cs.RO]Embodiment in Socially Interactive Robots
    Eric Deng, Bilge Mutlu, Maja Mataric
    http://arxiv.org/abs/1912.00312v1

    • [cs.RO]Evaluation of Smartphone IMUs for Small Mobile Search and Rescue Robots
    Xiangyang Zhi, Qingwen Xu, Sören Schwertfeger
    http://arxiv.org/abs/1912.01221v1

    • [cs.RO]Forecasting Trajectory and Behavior of Road-Agents Using Spectral Clustering in Graph-LSTMs
    Rohan Chandra, Tianrui Guan, Srujan Panuganti, Trisha Mittal, Uttaran Bhattacharya, Aniket Bera, Dinesh Manocha
    http://arxiv.org/abs/1912.01118v1

    • [cs.RO]Human Whole-Body Dynamics Estimation for Enhancing Physical Human-Robot Interaction
    Claudia Latella
    http://arxiv.org/abs/1912.01136v1

    • [cs.RO]Internally-Balanced Magnetic Mechanisms Using Magnetic Spring for Producing Large Amplified Clamping Force
    Tori Shimizu, Kenjiro Tadakuma, Masahiro Watanabe, Eri Takane, Masashi Konyo, Satoshi Tadokoro
    http://arxiv.org/abs/1912.01292v1

    • [cs.RO]Online Multi-Target Tracking for Maneuvering Vehicles in Dynamic Road Context
    Zehui Meng, Qi Heng Ho, Zefan Huang, Hongliang Guo, Marcelo H. Ang Jr., Daniela Rus
    http://arxiv.org/abs/1912.00603v1

    • [cs.RO]Radial-Layer Jamming Mechanism for String Configuration
    Rio Mukaide, Kenjiro Tadakuma, Masahiro Watanabe, Yu ozawa, Tomoya Takahashi, Masashi Konyo, Satoshi Tadokoro
    http://arxiv.org/abs/1912.01291v1

    • [cs.RO]Range-only Collaborative Localization for Ground Vehicles
    Qin Shi, Xiaowei Cui, Sihao Zhao, Jian Wen, Mingquan Lu
    http://arxiv.org/abs/1912.01182v1

    • [cs.RO]Room Detection for Topological Maps
    Sören Schwertfeger, Tianyan Yu
    http://arxiv.org/abs/1912.01279v1

    • [cs.RO]Safe rendering of high impedance on a series-elastic actuator with disturbance observer-based torque control
    Kevin Haninger, Abner Asignacion, Sehoon Oh
    http://arxiv.org/abs/1912.01355v1

    • [cs.RO]Scene recognition based on DNN and game theory with its applications in human-robot interaction
    R. Q. Wang, W. Z. Wang, D. Z. Zhao, G. H. Chen
    http://arxiv.org/abs/1912.01293v1

    • [cs.RO]Surface Following using Deep Reinforcement Learning and a GelSightTactile Sensor
    Chen Lu, Jing Wang, Shan Luo
    http://arxiv.org/abs/1912.00745v1

    • [cs.RO]Transferable Force-Torque Dynamics Model for Peg-in-hole Task
    Junfeng Ding, Chen Wang, Cewu Lu
    http://arxiv.org/abs/1912.00260v1

    • [cs.RO]Visual-UWB Navigation System for Unknown Environments
    Qin Shi, Xiaowei Cui, Wei Li, Yu Xia, Mingquan Lu
    http://arxiv.org/abs/1912.01178v1

    • [cs.SD]WaveFlow: A Compact Flow-based Model for Raw Audio
    Wei Ping, Kainan Peng, Kexin Zhao, Zhao Song
    http://arxiv.org/abs/1912.01219v1

    • [cs.SI]Core-Periphery Structure in Directed Networks
    Andrew Elliott, Angus Chiu, Marya Bazzi, Gesine Reinert, Mihai Cucuringu
    http://arxiv.org/abs/1912.00984v1

    • [cs.SI]Discovering Opioid Use Patterns from Social Media for Relapse Prevention
    Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin
    http://arxiv.org/abs/1912.01122v1

    • [cs.SI]Generalizable prediction of academic performance from short texts on social media
    Ivan Smirnov
    http://arxiv.org/abs/1912.00463v1

    • [cs.SI]Generalized Reputation Computation Ontology and Temporal Graph Architecture
    Anton Kolonin
    http://arxiv.org/abs/1912.00176v1

    • [cs.SI]JNET: Learning User Representations via Joint Network Embedding and Topic Embedding
    Lin Gong, Lu Lin, Weihao Song, Hongning Wang
    http://arxiv.org/abs/1912.00465v1

    • [cs.SI]Meta-Path Constrained Random Walk Inference for Large-Scale Heterogeneous Information Networks
    Chenguang Wang
    http://arxiv.org/abs/1912.00634v1

    • [cs.SI]On Multi-Cascade Influence Maximization: Model, Hardness and Algorithmic Framework
    Guangmo Tong, Ruiqi Wang, Zheng Dong
    http://arxiv.org/abs/1912.00272v1

    • [cs.SI]Online information of vaccines: information quality is an ethical responsibility of search engines
    Pietro Ghezzi, Peter G Bannister, Gonzalo Casino, Alessia Catalani, Michel Goldman, Jessica Morley, Marie Neunez, Andreu Prados, Mariarosaria Taddeo, Tania Vanzolini, Luciano Floridi
    http://arxiv.org/abs/1912.00898v1

    • [cs.SI]Visualizing structural balance in signed networks
    Edoardo Galimberti, Chiara Madeddu, Francesco Bonchi, Giancarlo Ruffo
    http://arxiv.org/abs/1912.00238v1

    • [econ.EM]Mean-shift least squares model averaging
    Kenichiro McAlinn, Kosaku Takanashi
    http://arxiv.org/abs/1912.01194v1

    • [eess.IV]A deep learning based tool for automatic brain extraction from functional magnetic resonance images in rodents
    Sidney Pontes-Filho, Annelene Gulden Dahl, Gustavo Borges Moreno e Mello
    http://arxiv.org/abs/1912.01359v1

    • [eess.IV]Applying Knowledge Transfer for Water Body Segmentation in Peru
    Jessenia Gonzalez, Debjani Bhowmick, Cesar Beltran, Kris Sankaran, Yoshua Bengio
    http://arxiv.org/abs/1912.00957v1

    • [eess.IV]Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI
    Daniele Ravi, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby
    http://arxiv.org/abs/1912.01526v1

    • [eess.IV]Detecting GAN generated errors
    Xiru Zhu, Fengdi Che, Tianzi Yang, Tzuyang Yu, David Meger, Gregory Dudek
    http://arxiv.org/abs/1912.00527v1

    • [eess.IV]Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network
    Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu, Mohammad A. Morid, Kartik M. Varadarajan
    http://arxiv.org/abs/1912.00943v1

    • [eess.IV]Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making
    Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, MingDe Lin, Aaron Abajian, James S. Duncan
    http://arxiv.org/abs/1912.00411v1

    • [eess.IV]Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT
    Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall, Marc Levenston, Garry Gold, Rebecca Fahrig, Andreas Maier
    http://arxiv.org/abs/1912.01362v1

    • [eess.IV]Noise2Blur: Online Noise Extraction and Denoising
    Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John Paisley
    http://arxiv.org/abs/1912.01158v1

    • [eess.IV]Offset Masking Improves Deep Learning based Accelerated MRI Reconstructions
    Aaron Defazio
    http://arxiv.org/abs/1912.01101v1

    • [eess.IV]Pyramid Convolutional RNN for MRI Reconstruction
    Puyang Wang, Eric Z. Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun
    http://arxiv.org/abs/1912.00543v2

    • [eess.IV]Robust Invisible Hyperlinks in Physical Photographs Based on 3D Rendering Attacks
    Jun Jia, Zhongpai Gao, Kang Chen, Menghan Hu, Guangtao Zhai, Guodong Guo, Xiaokang Yang
    http://arxiv.org/abs/1912.01224v1

    • [eess.IV]Stochastic tissue window normalization of deep learning on computed tomography
    Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, Jeffrey J. Carr, Richard G. Abramson, Bennett A. Landman
    http://arxiv.org/abs/1912.00420v1

    • [eess.IV]Texture Hallucination for Large-Scale Painting Super-Resolution
    Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu
    http://arxiv.org/abs/1912.00515v1

    • [eess.IV]The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
    Nicholas Heller, Fabian Isensee, Klaus H. Maier-Hein, Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Yang Nan, Guangrui Mu, Zhiyong Lin, Miofei Han, Guang Yao, Yaozong Gao, Yao Zhang, Yixin Wang, Feng Hou, Jiawei Yang, Guangwei Xiong, Jiang Tian, Cheng Zhong, Jun Ma, Jack Rickman, Joshua Dean, Bethany Stai, Resha Tejpaul, Makinna Oestreich, Paul Blake, Heather Kaluzniak, Shaneabbas Raza, Joel Rosenberg, Keenan Moore, Edward Walczak, Zachary Rengel, Zach Edgerton, Ranveer Vasdev, Matthew Peterson, Sean McSweeney, Sarah Peterson, Arveen Kalapara, Niranjan Sathianathen, Christopher Weight, Nikolaos Papanikolopoulos
    http://arxiv.org/abs/1912.01054v1

    • [eess.SP]Internet of Things in Geospatial Analytics
    Carlos Granell, Andreas Kamilaris, Alexander Kotsev, Frank O. Ostermann, Sergio Trilles
    http://arxiv.org/abs/1912.01501v1

    • [eess.SP]Towards blind user’s indoor navigation: a comparative study of beacons and decawave for indoor accurate location
    Prabin Sharma, Sambad Bidari, Antonio Valente, Hugo Paredes
    http://arxiv.org/abs/1912.01499v1

    • [math.NA]An asynchronous incomplete block LU preconditioner for computational fluid dynamics on unstructured grids
    Aditya Kashi, Siva Nadarajah
    http://arxiv.org/abs/1912.00539v1

    • [math.OC]Linear Convergence of Frank-Wolfe for Rank-One Matrix Recovery Without Strong Convexity
    Dan Garber
    http://arxiv.org/abs/1912.01467v1

    • [math.PR]Equivalence of the Hazard Rate and Usual Stochastic Orders for Parallel Systems
    Khaled Masoumifard
    http://arxiv.org/abs/1912.00798v1

    • [math.ST]A Rigorous Theory of Conditional Mean Embeddings
    Ilja Klebanov, Ingmar Schuster, T. J. Sullivan
    http://arxiv.org/abs/1912.00671v1

    • [math.ST]A simple proof of the characteristic function of Student’s $t$-distribution
    Robert E. Gaunt
    http://arxiv.org/abs/1912.01245v1

    • [math.ST]Algebraic Analysis of Rotation Data
    Michael F. Adamer, András C. Lőrincz, Anna-Laura Sattelberger, Bernd Sturmfels
    http://arxiv.org/abs/1912.00396v1

    • [math.ST]Anisotropic Functional Deconvolution for the irregular design with dependent long-memory errors
    Rida Benhaddou
    http://arxiv.org/abs/1912.00478v1

    • [math.ST]Copula versions of distance multivariance and dHSIC via the distributional transform — a general approach to construct invariant dependence measures
    Björn Böttcher
    http://arxiv.org/abs/1912.01388v1

    • [math.ST]Decentralised Sparse Multi-Task Regression
    Dominic Richards, Sahand N. Negahban, Patrick Rebeschini
    http://arxiv.org/abs/1912.01417v1

    • [math.ST]Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models
    Andrea Rotnitzky, Ezequiel Smucler
    http://arxiv.org/abs/1912.00306v1

    • [math.ST]Evidence for goodness of fit in Karl Pearson chi-squared statistics
    Robert G. Staudte
    http://arxiv.org/abs/1912.01134v1

    • [math.ST]Longitudinal Mediation Analysis Using Natural Effect Models
    Murthy N Mittinty, Stijn Vansteelandt
    http://arxiv.org/abs/1912.01200v1

    • [math.ST]Non parametric estimation of residual-past entropy, mean residual-past lifetime, residual-past inaccuracy measure and asymptotic limits
    Ba Amadou Diadie
    http://arxiv.org/abs/1912.00150v1

    • [math.ST]Nonparametric Screening under Conditional Strictly Convex Loss for Ultrahigh Dimensional Sparse Data
    Xu Han
    http://arxiv.org/abs/1912.01157v1

    • [math.ST]On Distance and Kernel Measures of Conditional Independence
    Tianhong Sheng, Bharath K. Sriperumbudur
    http://arxiv.org/abs/1912.01103v1

    • [math.ST]Optimal Best Markovian Arm Identification with Fixed Confidence
    Vrettos Moulos
    http://arxiv.org/abs/1912.00636v1

    • [math.ST]Statistical inference for fractional diffusion process with random effects at discrete observations
    El Omari Mohamed, Hamid El Maroufy, Christiane Fuchs
    http://arxiv.org/abs/1912.01463v1

    • [physics.comp-ph]Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization
    Iosif Meyerov, Evgeny Kozinov, Alexey Liniov, Valentin Volokitin, Igor Yusipov, Mikhail Ivanchenko, Sergey Denisov
    http://arxiv.org/abs/1912.01491v1

    • [physics.soc-ph]Competing local and global interactions in social dynamics: how important is the friendship network?
    Arkadiusz Jędrzejewski, Bartłomiej Nowak, Angelika Abramiuk, Katarzyna Sznajd-Weron
    http://arxiv.org/abs/1912.01236v1

    • [physics.soc-ph]Quantifying Life Quality as Walkability on Urban Networks: The Case of Budapest
    Luis Natera, Dávid Deritei, Anna Vancsó, Orsolya Vásárhelyi
    http://arxiv.org/abs/1912.00893v1

    • [physics.space-ph]A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning
    Enrico Camporeale, M. D. Cash, H. J. Singer, C. C. Balch, Z. Huang, G. Toth
    http://arxiv.org/abs/1912.01038v1

    • [q-bio.BM]DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
    Yanjun Li, Mohammad A. Rezaei, Chenglong Li, Xiaolin Li, Dapeng Wu
    http://arxiv.org/abs/1912.00318v1

    • [q-bio.PE]Drug dissemination strategy with a SEIR-based SUC model
    Boyue Fang, Yutong Feng
    http://arxiv.org/abs/1912.00053v1

    • [q-bio.QM]Joint and individual analysis of breast cancer histologic images and genomic covariates
    Iain Carmichael, Benjamin C. Calhoun, Katherine A. Hoadley, Melissa A. Troester, Joseph Geradts, Heather D. Couture, Linnea Olsson, Charles M. Perou, Marc Niethammer, Jan Hannig, J. S. Marron
    http://arxiv.org/abs/1912.00434v2

    • [quant-ph]Adjusted Subadditivity of Relative Entropy for Non-commuting Conditional Expectations
    Nicholas LaRacuente
    http://arxiv.org/abs/1912.00983v1

    • [quant-ph]Optimizing the fundamental limits for quantum and private communication
    Xin Wang
    http://arxiv.org/abs/1912.00931v1

    • [stat.AP]Automated metrics calculation in a dynamic heterogeneous environment
    Craig Boucher, Ulf Knoblich, Daniel Miller, Sasha Patotski, Amin Saied, Venky Venkateshaiah
    http://arxiv.org/abs/1912.00913v1

    • [stat.AP]Confounding Adjustment Methods for Multi-level Treatment Comparisons Under Lack of Positivity and Unknown Model Specification
    Diop S. Arona, Duchesne Thierry, Cumming Steven, Diop Awa, Talbot Denis
    http://arxiv.org/abs/1912.01517v1

    • [stat.AP]Crime in Philadelphia: Bayesian Clustering with Particle Optimization
    Cecilia Balocchi, Sameer K. Deshpande, Edward I. George, Shane T. Jensen
    http://arxiv.org/abs/1912.00111v1

    • [stat.AP]Diagnostic checking in FARIMA models with uncorrelated but non-independent error terms
    Yacouba Boubacar Maïnassara, Youssef Esstafa, Bruno Saussereau
    http://arxiv.org/abs/1912.00013v1

    • [stat.AP]Editorial: EVA 2019 data competition on spatio-temporal prediction of Red Sea surface temperature extremes
    Raphaël Huser
    http://arxiv.org/abs/1912.00694v1

    • [stat.AP]Improving upon NBA point-differential rankings
    Samuel Henry
    http://arxiv.org/abs/1912.01574v1

    • [stat.AP]Inferring HIV incidence trends and transmission dynamics with a spatio-temporal HIV epidemic model
    Timothy M Wolock, Seth R Flaxman, Jeffrey W Eaton
    http://arxiv.org/abs/1912.01590v1

    • [stat.AP]Multi-temporal abrupt change estimation on Landsat time series imagery: an application to analyze burn severity in La Primavera, Mexico
    Inder Tecuapetla-Gómez, Gabriela Villamil-Cortez, María Isabel Cruz-López
    http://arxiv.org/abs/1912.01543v1

    • [stat.AP]Penalized Matrix Regression for Two-Dimensional Variable Selection
    Cheoljoon Jeong, Xiaolei Fang
    http://arxiv.org/abs/1912.00326v1

    • [stat.AP]Space-Time Landslide Predictive Modelling
    Luigi Lombardo, Thomas Opitz, Francesca Ardizzone, Fausto Guzzetti, Raphaël Huser
    http://arxiv.org/abs/1912.01233v1

    • [stat.AP]Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): Rationale and statistical concept of a meta-analytic study
    Regina Stegherr, Jan Beyersmann, Valentine Jehl, Kaspar Rufibach, Friedhelm Leverkus, Claudia Schmoor, Tim Friede
    http://arxiv.org/abs/1912.00263v1

    • [stat.AP]The Effect of Real Estate Auction Events on Mortality Rate
    Cheoljoon Jeong
    http://arxiv.org/abs/1912.00327v1

    • [stat.ME]A novel framework for joint sparse clustering and alignment of functional data
    Valeria Vitelli
    http://arxiv.org/abs/1912.00687v1

    • [stat.ME]Branching epistemic uncertainty and thickness of tails
    Nassim Nicholas Taleb, Pasquale Cirillo
    http://arxiv.org/abs/1912.00277v1

    • [stat.ME]Distribution-Free Pointwise Adjusted P-Values for Functional Hypotheses
    Meng Xu, Philip T. Reiss
    http://arxiv.org/abs/1912.00360v1

    • [stat.ME]Efficient Estimation of Mixture Cure Frailty Model for Clustered Current Status Data
    Tong Wang, Kejun He, Wei Ma, Dipankar Bandyopadhyay, Samiran Sinha
    http://arxiv.org/abs/1912.00295v2

    • [stat.ME]Inference for Synthetic Control Methods with Multiple Treated Units
    Ziyan Zhang
    http://arxiv.org/abs/1912.00568v1

    • [stat.ME]Nonparametric analysis of nonhomogeneous multi-state processes based on clustered observations
    Giorgos Bakoyannis
    http://arxiv.org/abs/1912.00487v1

    • [stat.ME]SSNdesign — an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
    Alan R. Pearse, James M. McGree, Nicholas A. Som, Catherine Leigh, Jay M. Ver Hoef, Paul Maxwell, Erin E. Peterson
    http://arxiv.org/abs/1912.00540v1

    • [stat.ME]Simpson’s Paradox and the implications for medical trials
    Norman Fenton, Martin Neil, Anthony Constantinou
    http://arxiv.org/abs/1912.01422v1

    • [stat.ML]A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections
    Cong Xu, Min Yang, Jin Zhang
    http://arxiv.org/abs/1912.01449v1

    • [stat.ML]A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning
    Ben Adlam, Jake Levinson, Jeffrey Pennington
    http://arxiv.org/abs/1912.00827v1

    • [stat.ML]Asymptotic Normality and Variance Estimation For Supervised Ensembles
    Zhengze Zhou, Lucas Mentch, Giles Hooker
    http://arxiv.org/abs/1912.01089v1

    • [stat.ML]Bayesian Model Selection for Change Point Detection and Clustering
    Othmane Mazhar, Cristian R. Rojas, Carlo Fischione, Mohammad R. Hesamzadeh
    http://arxiv.org/abs/1912.01308v1

    • [stat.ML]Clustering via Ant Colonies: Parameter Analysis and Improvement of the Algorithm
    Jeffry Chavarria-Molina, Juan Jose Fallas-Monge, Javier Trejos-Zelaya
    http://arxiv.org/abs/1912.01105v1

    • [stat.ML]Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
    Namjoon Suh, Xiaoming Huo, Eric Heim, Lee Seversky
    http://arxiv.org/abs/1912.00524v1

    • [stat.ML]Flow Contrastive Estimation of Energy-Based Models
    Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu
    http://arxiv.org/abs/1912.00589v1

    • [stat.ML]Implicit Priors for Knowledge Sharing in Bayesian Neural Networks
    Jack K Fitzsimons, Sebastian M Schmon, Stephen J Roberts
    http://arxiv.org/abs/1912.00874v1

    • [stat.ML]Matrix sketching for supervised classification with imbalanced classes
    Roberta Falcone, Angela Montanari, Laura Anderlucci
    http://arxiv.org/abs/1912.00905v1

    • [stat.ML]Numerical Gaussian process Kalman filtering
    Armin Küper, Steffen Waldherr
    http://arxiv.org/abs/1912.01234v1

    • [stat.ML]On the Validity of Bayesian Neural Networks for Uncertainty Estimation
    John Mitros, Brian Mac Namee
    http://arxiv.org/abs/1912.01530v1

    • [stat.ML]On the geometry of Stein variational gradient descent
    A. Duncan, N. Nuesken, L. Szpruch
    http://arxiv.org/abs/1912.00894v1

    • [stat.ML]On the optimality of kernels for high-dimensional clustering
    Leena Chennuru Vankadara, Debarghya Ghoshdastidar
    http://arxiv.org/abs/1912.00458v1

    • [stat.ML]Sequential Classification with Empirically Observed Statistics
    Mahdi Haghifam, Vincent Y. F. Tan, Ashish Khisti
    http://arxiv.org/abs/1912.01170v1

    • [stat.ML]Stationary Points of Shallow Neural Networks with Quadratic Activation Function
    David Gamarnik, Eren C. Kızıldağ, Ilias Zadik
    http://arxiv.org/abs/1912.01599v1

    • [stat.ML]Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
    Jeremiah Zhe Liu
    http://arxiv.org/abs/1912.01189v1