cs.AI - 人工智能

    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.DM - 离散数学 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math-ph - 数学物理 math.DS - 动力系统 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-bio.BM - 生物分子 q-bio.NC - 神经元与认知 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]An Introduction to Artificial Intelligence Applied to Multimedia
    • [cs.AI]Generalized Planning with Positive and Negative Examples
    • [cs.AI]Generating Interactive Worlds with Text
    • [cs.AI]Integrating Automated Play in Level Co-Creation
    • [cs.AI]Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
    • [cs.AI]Online Fair Division: A Survey
    • [cs.AI]TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
    • [cs.CL]A Cluster Ranking Model for Full Anaphora Resolution
    • [cs.CL]An Empirical Study of Sections in Classifying Disease Outbreak Reports
    • [cs.CL]An analysis of observation length requirements in spoken language for machine understanding of human behaviors
    • [cs.CL]Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
    • [cs.CL]Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
    • [cs.CL]Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings
    • [cs.CL]Automatically Generating Macro Research Reports from a Piece of News
    • [cs.CL]CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
    • [cs.CL]Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin
    • [cs.CL]Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge
    • [cs.CL]Emotion Recognition for Vietnamese Social Media Text
    • [cs.CL]Entity Extraction with Knowledge from Web Scale Corpora
    • [cs.CL]Generating Diverse Translation by Manipulating Multi-Head Attention
    • [cs.CL]How Do You #relax When You’re #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets
    • [cs.CL]How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
    • [cs.CL]Incorporating Textual Evidence in Visual Storytelling
    • [cs.CL]Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
    • [cs.CL]Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
    • [cs.CL]Paraphrasing with Large Language Models
    • [cs.CL]Temporal Reasoning via Audio Question Answering
    • [cs.CL]What Do You Mean `Why?’: Resolving Sluices in Conversations
    • [cs.CR]The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
    • [cs.CV]Active Learning for Deep Detection Neural Networks
    • [cs.CV]AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
    • [cs.CV]Adversarial Examples Improve Image Recognition
    • [cs.CV]All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
    • [cs.CV]ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks
    • [cs.CV]Classification-driven Single Image Dehazing
    • [cs.CV]Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates
    • [cs.CV]Controversial stimuli: pitting neural networks against each other as models of human recognition
    • [cs.CV]Deep Representations for Cross-spectral Ocular Biometrics
    • [cs.CV]Empirical Autopsy of Deep Video Captioning Frameworks
    • [cs.CV]EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
    • [cs.CV]FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
    • [cs.CV]Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset
    • [cs.CV]Gliding vertex on the horizontal bounding box for multi-oriented object detection
    • [cs.CV]Heuristic Black-box Adversarial Attacks on Video Recognition Models
    • [cs.CV]ID-aware Quality for Set-based Person Re-identification
    • [cs.CV]Image Aesthetics Assessment using Multi Channel Convolutional Neural Networks
    • [cs.CV]Knowledge Graph Transfer Network for Few-Shot Recognition
    • [cs.CV]LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
    • [cs.CV]Learning Spatial Fusion for Single-Shot Object Detection
    • [cs.CV]Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications
    • [cs.CV]Localized Compression: Applying Convolutional Neural Networks to Compressed Images
    • [cs.CV]MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks
    • [cs.CV]Multi-Label Classification with Label Graph Superimposing
    • [cs.CV]Object-Guided Instance Segmentation for Biological Images
    • [cs.CV]Ocular Recognition Databases and Competitions: A Survey
    • [cs.CV]Quantization Networks
    • [cs.CV]REVAMP$^2$T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking
    • [cs.CV]Relation Network for Person Re-identification
    • [cs.CV]SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder
    • [cs.CV]Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
    • [cs.CV]Simultaneous Implementation Features Extraction and Recognition Using C3D Network for WiFi-based Human Activity Recognition
    • [cs.CV]Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene
    • [cs.CV]Synthesizing Visual Illusions Using Generative Adversarial Networks
    • [cs.CV]TEINet: Towards an Efficient Architecture for Video Recognition
    • [cs.CV]Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
    • [cs.CV]Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation
    • [cs.CV]Unsupervised Object Segmentation with Explicit Localization Module
    • [cs.CV]Voice-Face Cross-modal Matching and Retrieval: A Benchmark
    • [cs.CV]xBD: A Dataset for Assessing Building Damage from Satellite Imagery
    • [cs.CY]Scalable and Generalizable Social Bot Detection through Data Selection
    • [cs.CY]The politics of deceptive borders: ‘biomarkers of deceit’ and the case of iBorderCtrl
    • [cs.DB]Permissioned Blockchain Through the Looking Glass: Architectural and Implementation Lessons Learned
    • [cs.DB]Schemaless Queries over Document Tables with Dependencies
    • [cs.DC]An Adaptive Load Balancer For Graph Analytical Applications on GPUs
    • [cs.DC]LL/SC and Atomic Copy: Constant Time, Space Efficient Implementations using only pointer-width CAS
    • [cs.DM]On the separation of shape and temporal patterns in time series — Application to signature authentication
    • [cs.DS]S-RASTER: Contraction Clustering for Evolving Data Streams
    • [cs.GR]DR-KFD: A Differentiable Visual Metric for 3D Shape Reconstruction
    • [cs.HC]NaMemo: Enhancing Lecturers’ Interpersonal Competence of Remembering Students’ Names
    • [cs.HC]The Power and Pitfalls of Transparent Privacy Policies in Social Networking Service Platforms
    • [cs.IT]$\mathbb{Z}_2\mathbb{Z}_4$-Additive Cyclic Codes Are Asymptotically Good
    • [cs.IT]An inductive construction of minimal codes
    • [cs.IT]Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces
    • [cs.IT]Decoding Polar Codes via Weighted-Window Soft Cancellation for Slowly-Varying Channel
    • [cs.IT]Generalizing Information to the Evolution of Rational Belief
    • [cs.IT]Time Varying Channel Tracking for Multi-UAV Wideband Communications with Beam Squint
    • [cs.LG]A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
    • [cs.LG]A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data
    • [cs.LG]A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
    • [cs.LG]Accelerating Reinforcement Learning with Suboptimal Guidance
    • [cs.LG]Accurate Hydrologic Modeling Using Less Information
    • [cs.LG]Approximated Orthonormal Normalisation in Training Neural Networks
    • [cs.LG]AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture
    • [cs.LG]Band-limited Training and Inference for Convolutional Neural Networks
    • [cs.LG]Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints
    • [cs.LG]Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
    • [cs.LG]DPM: A deep learning PDE augmentation method (with application to large-eddy simulation)
    • [cs.LG]Data Proxy Generation for Fast and Efficient Neural Architecture Search
    • [cs.LG]Deep Active Learning: Unified and Principled Method for Query and Training
    • [cs.LG]Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
    • [cs.LG]Discrete and Continuous Deep Residual Learning Over Graphs
    • [cs.LG]Event Detection in Noisy Streaming Data with Combination of Corroborative and Probabilistic Sources
    • [cs.LG]Few Shot Network Compression via Cross Distillation
    • [cs.LG]Gamma-Nets: Generalizing Value Estimation over Timescale
    • [cs.LG]Gradient-based Optimization for Bayesian Preference Elicitation
    • [cs.LG]Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
    • [cs.LG]Information in Infinite Ensembles of Infinitely-Wide Neural Networks
    • [cs.LG]JANOS: An Integrated Predictive and Prescriptive Modeling Framework
    • [cs.LG]Large-scale Multi-view Subspace Clustering in Linear Time
    • [cs.LG]Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
    • [cs.LG]Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
    • [cs.LG]Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means
    • [cs.LG]Multi-Scale RCNN Model for Financial Time-series Classification
    • [cs.LG]Multi-objective Neural Architecture Search via Predictive Network Performance Optimization
    • [cs.LG]Neural Network Memorization Dissection
    • [cs.LG]Observe Before Play: Multi-armed Bandit with Pre-observations
    • [cs.LG]On Universal Features for High-Dimensional Learning and Inference
    • [cs.LG]PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
    • [cs.LG]Parameter-Free Locally Differentially Private Stochastic Subgradient Descent
    • [cs.LG]Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy
    • [cs.LG]Random Fourier Features via Fast Surrogate Leverage Weighted Sampling
    • [cs.LG]Regularizing Neural Networks by Stochastically Training Layer Ensembles
    • [cs.LG]Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
    • [cs.LG]Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
    • [cs.LG]Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM
    • [cs.LG]Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control
    • [cs.LG]Scalable methods for computing state similarity in deterministic Markov Decision Processes
    • [cs.LG]System Identification with Time-Aware Neural Sequence Models
    • [cs.LG]Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller
    • [cs.LG]Towards FAIR protocols and workflows: The OpenPREDICT case study
    • [cs.LG]Video Segment Copy Detection Using Memory Constrained Hierarchical Batch-Normalized LSTM Autoencoder
    • [cs.LG]Visual Tactile Fusion Object Clustering
    • [cs.LG]Volume-preserving Neural Networks: A Solution to the Vanishing Gradient Problem
    • [cs.LG]Vouw: Geometric Pattern Mining using the MDL Principle
    • [cs.MA]Agent Probing Interaction Policies
    • [cs.NE]DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions
    • [cs.NE]Predictive Coding as Stimulus Avoidance in Spiking Neural Networks
    • [cs.NI]Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT
    • [cs.RO]A Continuous Teleoperation Subspace with Empirical and Algorithmic Mapping Algorithms for Non-Anthropomorphic Hands
    • [cs.RO]Camera-to-Robot Pose Estimation from a Single Image
    • [cs.RO]Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
    • [cs.RO]Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case
    • [cs.RO]Feedback Motion Planning for Long-Range Autonomous Underwater Vehicles
    • [cs.RO]Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections
    • [cs.RO]Integrated Motion Planner for Real-time Aerial Videography with a Drone in a Dense Environment
    • [cs.RO]Magnetic-Assisted Initialization for Infrastructure-free Mobile Robot Localization
    • [cs.SD]Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features
    • [cs.SE]Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net
    • [cs.SE]Tool-Supported Experiments for Continuously Collecting Data of Subjective Video Quality Assessments During Video Playback
    • [cs.SI]Active Re-identification Attacks on Periodically Released Dynamic Social Graphs
    • [cs.SI]Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding
    • [econ.EM]A Scrambled Method of Moments
    • [econ.EM]Hybrid quantile estimation for asymmetric power GARCH models
    • [eess.AS]An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training Strategy
    • [eess.IV]AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
    • [eess.IV]Heart Segmentation From MRI Scans Using Convolutional Neural Network
    • [eess.IV]RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
    • [eess.IV]Segmenting Medical MRI via Recurrent Decoding Cell
    • [eess.IV]Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets
    • [eess.IV]Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss
    • [eess.IV]W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
    • [eess.SP]Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction
    • [eess.SP]Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring — The Winning Solution of the 2017 International Aftershock Detection Contest
    • [eess.SY]Safe Policies for Reinforcement Learning via Primal-Dual Methods
    • [hep-ph]OmniFold: A Method to Simultaneously Unfold All Observables
    • [math-ph]About the foundation of the Kubo Generalized Cumulants theory. A revisited and corrected approach
    • [math.DS]Density Propagation with Characteristics-based Deep Learning
    • [math.NA]Uniform error estimates for artificial neural network approximations for heat equations
    • [math.OC]Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control
    • [math.OC]Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
    • [math.OC]Motion control for autonomous heterogeneous multi-agent area search in uncertain conditions
    • [math.ST]Sampling distribution for single-regression Granger causality estimators
    • [physics.comp-ph]Automatic Differentiable Monte Carlo: Theory and Application
    • [q-bio.BM]Iterative Peptide Modeling With Active Learning And Meta-Learning
    • [q-bio.NC]Decoding Spiking Mechanism with Dynamic Learning on Neuron Population
    • [q-bio.QM]Autoregressive Modeling of Forest Dynamics
    • [quant-ph]Comment on “Quantum Games and Quantum Strategies”
    • [quant-ph]Incompressibility of classical distributions
    • [stat.AP]Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments
    • [stat.ME]A Practical Introduction to Regression Discontinuity Designs: Foundations
    • [stat.ME]A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity
    • [stat.ME]Bayesian forecasting of multivariate time series: Scalability, structure uncertainty and decisions
    • [stat.ME]Controlling the FDR in variable selection via multiple knockoffs
    • [stat.ME]Instrumental Variables: to Strengthen or not to Strengthen?
    • [stat.ME]Interval-Valued Kriging Models for Geostatistical Mapping with Imprecise Inputs
    • [stat.ME]On the Use of C-index for Stratified and Cross-Validated Cox Model
    • [stat.ME]Regression Discontinuity Design under Self-selection
    • [stat.ME]Smoothed Nested Testing on Directed Acyclic Graphs
    • [stat.ME]Spline Analysis of Biomarker Data Pooled From Multiple Matched/Nested Case-Control Studies
    • [stat.ME]Statistical Analysis of Item Preknowledge in Educational Tests: Latent Variable Modelling and Statistical Decision Theory
    • [stat.ML]Bayesian optimization with local search
    • [stat.ML]Continual Learning with Adaptive Weights (CLAW)
    • [stat.ML]Estimating uncertainty of earthquake rupture using Bayesian neural network
    • [stat.ML]Random Machines: A bagged-weighted support vector model with free kernel choice
    • [stat.ML]Safe Linear Stochastic Bandits

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    • [cs.AI]An Introduction to Artificial Intelligence Applied to Multimedia
    Guilherme Lima, Rodrigo Costa, Marcio Ferreira Moreno
    http://arxiv.org/abs/1911.09606v1

    • [cs.AI]Generalized Planning with Positive and Negative Examples
    Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
    http://arxiv.org/abs/1911.09365v1

    • [cs.AI]Generating Interactive Worlds with Text
    Angela Fan, Jack Urbanek, Pratik Ringshia, Emily Dinan, Emma Qian, Siddharth Karamcheti, Shrimai Prabhumoye, Douwe Kiela, Tim Rocktaschel, Arthur Szlam, Jason Weston
    http://arxiv.org/abs/1911.09194v1

    • [cs.AI]Integrating Automated Play in Level Co-Creation
    Andrew Hoyt, Matthew Guzdial, Yalini Kumar, Gillian Smith, Mark O. Riedl
    http://arxiv.org/abs/1911.09219v1

    • [cs.AI]Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
    André Hottung, Kevin Tierney
    http://arxiv.org/abs/1911.09539v1

    • [cs.AI]Online Fair Division: A Survey
    Martin Aleksandrov, Toby Walsh
    http://arxiv.org/abs/1911.09488v1

    • [cs.AI]TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
    Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor
    http://arxiv.org/abs/1911.09471v1

    • [cs.CL]A Cluster Ranking Model for Full Anaphora Resolution
    Juntao Yu, Alexandra Uma, Massimo Poesio
    http://arxiv.org/abs/1911.09532v1

    • [cs.CL]An Empirical Study of Sections in Classifying Disease Outbreak Reports
    Son Doan, Mike Conway, Nigel Collier
    http://arxiv.org/abs/1911.09319v1

    • [cs.CL]An analysis of observation length requirements in spoken language for machine understanding of human behaviors
    Sandeep Nallan Chakravarthula, Brian Baucom, Shrikanth Narayanan, Panayiotis Georgiou
    http://arxiv.org/abs/1911.09515v1

    • [cs.CL]Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
    Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa
    http://arxiv.org/abs/1911.09241v1

    • [cs.CL]Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
    Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung
    http://arxiv.org/abs/1911.09273v1

    • [cs.CL]Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings
    Hang Jiang, Xianzhe Zhang, Jinho D. Choi
    http://arxiv.org/abs/1911.09304v1

    • [cs.CL]Automatically Generating Macro Research Reports from a Piece of News
    Wenxin Hu, Xiaofeng Zhang, Gang Yang
    http://arxiv.org/abs/1911.09572v1

    • [cs.CL]CAIL2019-SCM: A Dataset of Similar Case Matching in Legal Domain
    Chaojun Xiao, Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Zhiyuan Liu, Maosong Sun, Tianyang Zhang, Xianpei Han, Zhen hu, Heng Wang, Jianfeng Xu
    http://arxiv.org/abs/1911.08962v2

    • [cs.CL]Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin
    Bryan Li, Xinyue Wang, Homayoon Beigi
    http://arxiv.org/abs/1911.09271v1

    • [cs.CL]Chemical-protein Interaction Extraction via Gaussian Probability Distribution and External Biomedical Knowledge
    Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang
    http://arxiv.org/abs/1911.09487v1

    • [cs.CL]Emotion Recognition for Vietnamese Social Media Text
    Vong Anh Ho, Duong Huynh-Cong Nguyen, Danh Hoang Nguyen, Linh Thi-Van Pham, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
    http://arxiv.org/abs/1911.09339v1

    • [cs.CL]Entity Extraction with Knowledge from Web Scale Corpora
    Zeyi Wen, Zeyu Huang, Rui Zhang
    http://arxiv.org/abs/1911.09373v1

    • [cs.CL]Generating Diverse Translation by Manipulating Multi-Head Attention
    Zewei Sun, Shujian Huang, Hao-Ran Wei, Xin-yu Dai, Jiajun Chen
    http://arxiv.org/abs/1911.09333v1

    • [cs.CL]How Do You #relax When You’re #stressed? A Content Analysis and Infodemiology Study of Stress-Related Tweets
    Son Doan, Amanda Ritchart, Nicholas Perry, Juan D Chaparro, Mike Conway
    http://arxiv.org/abs/1911.09242v1

    • [cs.CL]How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
    Zewei Chu, Mingda Chen, Jing Chen, Miaosen Wang, Kevin Gimpel, Manaal Faruqui, Xiance Si
    http://arxiv.org/abs/1911.09247v1

    • [cs.CL]Incorporating Textual Evidence in Visual Storytelling
    Tianyi Li, Sujian Li
    http://arxiv.org/abs/1911.09334v1

    • [cs.CL]Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech
    David Harwath, Wei-Ning Hsu, James Glass
    http://arxiv.org/abs/1911.09602v1

    • [cs.CL]Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
    Chenze Shao, Jinchao Zhang, Yang Feng, Fandong Meng, Jie Zhou
    http://arxiv.org/abs/1911.09320v1

    • [cs.CL]Paraphrasing with Large Language Models
    Sam Witteveen, Martin Andrews
    http://arxiv.org/abs/1911.09661v1

    • [cs.CL]Temporal Reasoning via Audio Question Answering
    Haytham M. Fayek, Justin Johnson
    http://arxiv.org/abs/1911.09655v1

    • [cs.CL]What Do You Mean `Why?’: Resolving Sluices in Conversations
    Victor Petrén Bach Hansen, Anders Søgaard
    http://arxiv.org/abs/1911.09478v1

    • [cs.CR]The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
    Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
    http://arxiv.org/abs/1911.09586v1

    • [cs.CV]Active Learning for Deep Detection Neural Networks
    Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López
    http://arxiv.org/abs/1911.09168v1

    • [cs.CV]AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning
    Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing
    http://arxiv.org/abs/1911.09659v1

    • [cs.CV]Adversarial Examples Improve Image Recognition
    Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan Yuille, Quoc V. Le
    http://arxiv.org/abs/1911.09665v1

    • [cs.CV]All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
    Hao Wang, Pu Lu, Hui Zhang, Mingkun Yang, Xiang Bai, Yongchao Xu, Mengchao He, Yongpan Wang, Wenyu Liu
    http://arxiv.org/abs/1911.09550v1

    • [cs.CV]ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks
    Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig
    http://arxiv.org/abs/1911.09375v1

    • [cs.CV]Classification-driven Single Image Dehazing
    Yanting Pei, Yaping Huang, Xingyuan Zhang
    http://arxiv.org/abs/1911.09389v1

    • [cs.CV]Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates
    Diogo C Luvizon, Hedi Tabia, David Picard
    http://arxiv.org/abs/1911.09245v1

    • [cs.CV]Controversial stimuli: pitting neural networks against each other as models of human recognition
    Tal Golan, Prashant C. Raju, Nikolaus Kriegeskorte
    http://arxiv.org/abs/1911.09288v1

    • [cs.CV]Deep Representations for Cross-spectral Ocular Biometrics
    Luiz A. Zanlorensi, Diego R. Lucio, Alceu S. Britto Jr., Hugo Proença, David Menotti
    http://arxiv.org/abs/1911.09509v1

    • [cs.CV]Empirical Autopsy of Deep Video Captioning Frameworks
    Nayyer Aafaq, Naveed Akhtar, Wei Liu, Ajmal Mian
    http://arxiv.org/abs/1911.09345v1

    • [cs.CV]EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
    Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi
    http://arxiv.org/abs/1911.09265v1

    • [cs.CV]FLNet: Landmark Driven Fetching and Learning Network for Faithful Talking Facial Animation Synthesis
    Kuangxiao Gu, Yuqian Zhou, Thomas Huang
    http://arxiv.org/abs/1911.09224v1

    • [cs.CV]Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset
    Bingyuan Liu, Jiantao Zhang, Xiaoting Zhang, Wei Zhang, Chuanhui Yu, Yuan Zhou
    http://arxiv.org/abs/1911.09299v1

    • [cs.CV]Gliding vertex on the horizontal bounding box for multi-oriented object detection
    Yongchao Xu, Mingtao Fu, Qimeng Wang, Yukang Wang, Kai Chen, Gui-Song Xia, Xiang Bai
    http://arxiv.org/abs/1911.09358v1

    • [cs.CV]Heuristic Black-box Adversarial Attacks on Video Recognition Models
    Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang
    http://arxiv.org/abs/1911.09449v1

    • [cs.CV]ID-aware Quality for Set-based Person Re-identification
    Xinshao Wang, Elyor Kodirov, Yang Hua, Neil M. Robertson
    http://arxiv.org/abs/1911.09143v1

    • [cs.CV]Image Aesthetics Assessment using Multi Channel Convolutional Neural Networks
    Nishi Doshi, Gitam Shikhenawis, Suman K Mitra
    http://arxiv.org/abs/1911.09301v1

    • [cs.CV]Knowledge Graph Transfer Network for Few-Shot Recognition
    Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, Liang Lin
    http://arxiv.org/abs/1911.09579v1

    • [cs.CV]LCD: Learned Cross-Domain Descriptors for 2D-3D Matching
    Quang-Hieu Pham, Mikaela Angelina Uy, Binh-Son Hua, Duc Thanh Nguyen, Gemma Roig, Sai-Kit Yeung
    http://arxiv.org/abs/1911.09326v1

    • [cs.CV]Learning Spatial Fusion for Single-Shot Object Detection
    Songtao Liu, Di Huang, Yunhong Wang
    http://arxiv.org/abs/1911.09516v1

    • [cs.CV]Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications
    Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon
    http://arxiv.org/abs/1911.09649v1

    • [cs.CV]Localized Compression: Applying Convolutional Neural Networks to Compressed Images
    Christopher A. George, Bradley M. West
    http://arxiv.org/abs/1911.09188v1

    • [cs.CV]MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks
    Yunteng Luan, Hanyu Zhao, Zhi Yang, Yafei Dai
    http://arxiv.org/abs/1911.09418v1

    • [cs.CV]Multi-Label Classification with Label Graph Superimposing
    Ya Wang, Dongliang He, Fu Li, Xiang Long, Zhichao Zhou, Jinwen Ma, Shilei Wen
    http://arxiv.org/abs/1911.09243v1

    • [cs.CV]Object-Guided Instance Segmentation for Biological Images
    Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan
    http://arxiv.org/abs/1911.09199v1

    • [cs.CV]Ocular Recognition Databases and Competitions: A Survey
    Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, Alceu S. Britto Jr., Luiz S. Oliveira, David Menotti
    http://arxiv.org/abs/1911.09646v1

    • [cs.CV]Quantization Networks
    Jiwei Yang, Xu Shen, Jun Xing, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xiansheng Hua
    http://arxiv.org/abs/1911.09464v1

    • [cs.CV]REVAMP$^2$T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking
    Christopher Neff, Matías Mendieta, Shrey Mohan, Mohammadreza Baharani, Samuel Rogers, Hamed Tabkhi
    http://arxiv.org/abs/1911.09217v1

    • [cs.CV]Relation Network for Person Re-identification
    Hyunjong Park, Bumsub Ham
    http://arxiv.org/abs/1911.09318v1

    • [cs.CV]SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder
    Hyojin Park, Lars Lowe Sjösund, Nicolas Monet, YoungJoon Yoo, Nojun Kwak
    http://arxiv.org/abs/1911.09099v1

    • [cs.CV]Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
    Ceyuan Yang, Yujun Shen, Bolei Zhou
    http://arxiv.org/abs/1911.09267v1

    • [cs.CV]Simultaneous Implementation Features Extraction and Recognition Using C3D Network for WiFi-based Human Activity Recognition
    Liu Yafeng, Chen Tian, Liu Zhongyu, Zhang Lei, Hu Yanjun, Ding Enjie
    http://arxiv.org/abs/1911.09325v1

    • [cs.CV]Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene
    Suryansh Kumar, Yuchao Dai, Hongdong Li
    http://arxiv.org/abs/1911.09092v1

    • [cs.CV]Synthesizing Visual Illusions Using Generative Adversarial Networks
    Alexander Gomez-Villa, Adrian Martín, Javier Vazquez-Corral, Jesús Malo, Marcelo Bertalmío
    http://arxiv.org/abs/1911.09599v1

    • [cs.CV]TEINet: Towards an Efficient Architecture for Video Recognition
    Zhaoyang Liu, Donghao Luo, Yabiao Wang, Limin Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Tong Lu
    http://arxiv.org/abs/1911.09435v1

    • [cs.CV]Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
    Xiaodong Cun, Chi-Man Pun, Cheng Shi
    http://arxiv.org/abs/1911.08718v2

    • [cs.CV]Unsupervised Domain Adaptation by Optical Flow Augmentation in Semantic Segmentation
    Oluwafemi Azeez
    http://arxiv.org/abs/1911.09652v1

    • [cs.CV]Unsupervised Object Segmentation with Explicit Localization Module
    Weitang Liu, Lifeng Wei, James Sharpnack, John D. Owens
    http://arxiv.org/abs/1911.09228v1

    • [cs.CV]Voice-Face Cross-modal Matching and Retrieval: A Benchmark
    Chuyuan Xiong, Deyuan Zhang, Tao Liu, Xiaoyong Du
    http://arxiv.org/abs/1911.09338v1

    • [cs.CV]xBD: A Dataset for Assessing Building Damage from Satellite Imagery
    Ritwik Gupta, Richard Hosfelt, Sandra Sajeev, Nirav Patel, Bryce Goodman, Jigar Doshi, Eric Heim, Howie Choset, Matthew Gaston
    http://arxiv.org/abs/1911.09296v1

    • [cs.CY]Scalable and Generalizable Social Bot Detection through Data Selection
    Kai-Cheng Yang, Onur Varol, Pik-Mai Hui, Filippo Menczer
    http://arxiv.org/abs/1911.09179v1

    • [cs.CY]The politics of deceptive borders: ‘biomarkers of deceit’ and the case of iBorderCtrl
    Javier Sánchez-Monedero, Lina Dencik
    http://arxiv.org/abs/1911.09156v1

    • [cs.DB]Permissioned Blockchain Through the Looking Glass: Architectural and Implementation Lessons Learned
    Suyash Gupta, Sajjad Rahnama, Mohammad Sadoghi
    http://arxiv.org/abs/1911.09208v1

    • [cs.DB]Schemaless Queries over Document Tables with Dependencies
    Mustafa Canim, Cristina Cornelio, Arun Iyengar, Ryan Musa, Mariano Rodrigez Muro
    http://arxiv.org/abs/1911.09356v1

    • [cs.DC]An Adaptive Load Balancer For Graph Analytical Applications on GPUs
    Vishwesh Jatala, Loc Hoang, Roshan Dathathri, Gurbinder Gill, V Krishna Nandivada, Keshav Pingali
    http://arxiv.org/abs/1911.09135v1

    • [cs.DC]LL/SC and Atomic Copy: Constant Time, Space Efficient Implementations using only pointer-width CAS
    Guy E. Blelloch, Yuanhao Wei
    http://arxiv.org/abs/1911.09671v1

    • [cs.DM]On the separation of shape and temporal patterns in time series — Application to signature authentication
    Pierre-François Marteau
    http://arxiv.org/abs/1911.09360v1

    • [cs.DS]S-RASTER: Contraction Clustering for Evolving Data Streams
    Gregor Ulm, Simon Smith, Adrian Nilsson, Emil Gustavsson, Mats Jirstrand
    http://arxiv.org/abs/1911.09447v1

    • [cs.GR]DR-KFD: A Differentiable Visual Metric for 3D Shape Reconstruction
    Jiongchao Jin, Akshay Gadi Patil, Hao, Zhang
    http://arxiv.org/abs/1911.09204v1

    • [cs.HC]NaMemo: Enhancing Lecturers’ Interpersonal Competence of Remembering Students’ Names
    Guang Jiang, Mengzhen Shi, Ying Su, Pengcheng An, Yunlong Wang
    http://arxiv.org/abs/1911.09279v1

    • [cs.HC]The Power and Pitfalls of Transparent Privacy Policies in Social Networking Service Platforms
    Jana Korunovska, Bernadette Kamleitner, Sarah Spiekermann
    http://arxiv.org/abs/1911.09386v1

    • [cs.IT]$\mathbb{Z}_2\mathbb{Z}_4$-Additive Cyclic Codes Are Asymptotically Good
    Yun Fan, Hualu Liu
    http://arxiv.org/abs/1911.09350v1

    • [cs.IT]An inductive construction of minimal codes
    Daniele Bartoli, Matteo Bonini, Burçin Güneş
    http://arxiv.org/abs/1911.09093v1

    • [cs.IT]Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces
    Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai
    http://arxiv.org/abs/1911.09443v1

    • [cs.IT]Decoding Polar Codes via Weighted-Window Soft Cancellation for Slowly-Varying Channel
    Yong Fang
    http://arxiv.org/abs/1911.08763v2

    • [cs.IT]Generalizing Information to the Evolution of Rational Belief
    Jed A. Duersch, Thomas A. Catanach
    http://arxiv.org/abs/1911.09559v1

    • [cs.IT]Time Varying Channel Tracking for Multi-UAV Wideband Communications with Beam Squint
    Jianwei Zhao, Qi Dong, Yanjie Zhao, Bolei Wang, Feifei Gao
    http://arxiv.org/abs/1911.09433v1

    • [cs.LG]A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
    Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
    http://arxiv.org/abs/1911.09512v1

    • [cs.LG]A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data
    Weizhu Qian, Fabrice Lauri, Franck Gechter
    http://arxiv.org/abs/1911.09355v1

    • [cs.LG]A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound
    Gal Dalal, Balazs Szorenyi, Gugan Thoppe
    http://arxiv.org/abs/1911.09157v1

    • [cs.LG]Accelerating Reinforcement Learning with Suboptimal Guidance
    Eivind Bøhn, Signe Moe, Tor Arne Johansen
    http://arxiv.org/abs/1911.09391v1

    • [cs.LG]Accurate Hydrologic Modeling Using Less Information
    Guy Shalev, Ran El-Yaniv, Daniel Klotz, Frederik Kratzert, Asher Metzger, Sella Nevo
    http://arxiv.org/abs/1911.09427v1

    • [cs.LG]Approximated Orthonormal Normalisation in Training Neural Networks
    Guoqiang Zhang, Kenta Niwa, W. B. Kleijn
    http://arxiv.org/abs/1911.09445v1

    • [cs.LG]AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture
    Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, Yiran Chen
    http://arxiv.org/abs/1911.09251v1

    • [cs.LG]Band-limited Training and Inference for Convolutional Neural Networks
    Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron Elmore, Michael Franklin
    http://arxiv.org/abs/1911.09287v1

    • [cs.LG]Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints
    Weizhu Qian, Fabrice Lauri, Franck Gechter
    http://arxiv.org/abs/1911.09344v1

    • [cs.LG]Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application
    Bitan Hou, Yujing Wang, Ming Zeng, Shan Jiang, Ole J. Mengshoel, Yunhai Tong, Jing Bai
    http://arxiv.org/abs/1911.09454v1

    • [cs.LG]DPM: A deep learning PDE augmentation method (with application to large-eddy simulation)
    Jonathan B. Freund, Jonathan F. MacArt, Justin Sirignano
    http://arxiv.org/abs/1911.09145v1

    • [cs.LG]Data Proxy Generation for Fast and Efficient Neural Architecture Search
    Minje Park
    http://arxiv.org/abs/1911.09322v1

    • [cs.LG]Deep Active Learning: Unified and Principled Method for Query and Training
    Changjian Shui, Fan Zhou, Christian Gagné, Boyu Wang
    http://arxiv.org/abs/1911.09162v1

    • [cs.LG]Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
    Yifeng Gao, Jessica Lin
    http://arxiv.org/abs/1911.09218v1

    • [cs.LG]Discrete and Continuous Deep Residual Learning Over Graphs
    Pedro H. C. Avelar, Anderson R. Tavares, Marco Gori, Luis C. Lamb
    http://arxiv.org/abs/1911.09554v1

    • [cs.LG]Event Detection in Noisy Streaming Data with Combination of Corroborative and Probabilistic Sources
    Abhijit Suprem, Calton Pu
    http://arxiv.org/abs/1911.09281v1

    • [cs.LG]Few Shot Network Compression via Cross Distillation
    Haoli Bai, Jiaxiang Wu, Irwin King, Michael Lyu
    http://arxiv.org/abs/1911.09450v1

    • [cs.LG]Gamma-Nets: Generalizing Value Estimation over Timescale
    Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
    http://arxiv.org/abs/1911.07794v2

    • [cs.LG]Gradient-based Optimization for Bayesian Preference Elicitation
    Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
    http://arxiv.org/abs/1911.09153v1

    • [cs.LG]Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
    Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu
    http://arxiv.org/abs/1911.09310v1

    • [cs.LG]Information in Infinite Ensembles of Infinitely-Wide Neural Networks
    Ravid Schwartz-Ziv, Alexander A. Alemi
    http://arxiv.org/abs/1911.09189v1

    • [cs.LG]JANOS: An Integrated Predictive and Prescriptive Modeling Framework
    David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan
    http://arxiv.org/abs/1911.09461v1

    • [cs.LG]Large-scale Multi-view Subspace Clustering in Linear Time
    Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu
    http://arxiv.org/abs/1911.09290v1

    • [cs.LG]Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees
    Shaohuai Shi, Zhenheng Tang, Qiang Wang, Kaiyong Zhao, Xiaowen Chu
    http://arxiv.org/abs/1911.08727v2

    • [cs.LG]Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
    Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie Wang
    http://arxiv.org/abs/1911.09419v1

    • [cs.LG]Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means
    Andrea Agostinelli, Kai Arulkumaran, Marta Sarrico, Pierre Richemond, Anil Anthony Bharath
    http://arxiv.org/abs/1911.09560v1

    • [cs.LG]Multi-Scale RCNN Model for Financial Time-series Classification
    Liu Guang, Wang Xiaojie, Li Ruifan
    http://arxiv.org/abs/1911.09359v1

    • [cs.LG]Multi-objective Neural Architecture Search via Predictive Network Performance Optimization
    Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang
    http://arxiv.org/abs/1911.09336v1

    • [cs.LG]Neural Network Memorization Dissection
    Jindong Gu, Volker Tresp
    http://arxiv.org/abs/1911.09537v1

    • [cs.LG]Observe Before Play: Multi-armed Bandit with Pre-observations
    Jinhang Zuo, Xiaoxi Zhang, Carlee Joe-Wong
    http://arxiv.org/abs/1911.09458v1

    • [cs.LG]On Universal Features for High-Dimensional Learning and Inference
    Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
    http://arxiv.org/abs/1911.09105v1

    • [cs.LG]PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems
    Azin Ghazimatin, Oana Balalau, Rishiraj Saha Roy, Gerhard Weikum
    http://arxiv.org/abs/1911.08378v2

    • [cs.LG]Parameter-Free Locally Differentially Private Stochastic Subgradient Descent
    Kwang-Sung Jun, Francesco Orabona
    http://arxiv.org/abs/1911.09564v1

    • [cs.LG]Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy
    Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu
    http://arxiv.org/abs/1911.09307v1

    • [cs.LG]Random Fourier Features via Fast Surrogate Leverage Weighted Sampling
    Fanghui Liu, Xiaolin Huang, Yudong Chen, Jie Yang, Johan A. K. Suykens
    http://arxiv.org/abs/1911.09158v1

    • [cs.LG]Regularizing Neural Networks by Stochastically Training Layer Ensembles
    Alex Labach, Shahrokh Valaee
    http://arxiv.org/abs/1911.09669v1

    • [cs.LG]Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons
    Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris Metaxas
    http://arxiv.org/abs/1911.09298v1

    • [cs.LG]Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
    Alexander Levine, Soheil Feizi
    http://arxiv.org/abs/1911.09272v1

    • [cs.LG]Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM
    Alberto Barbado, Óscar Corcho
    http://arxiv.org/abs/1911.09315v1

    • [cs.LG]Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control
    Marta Sarrico, Kai Arulkumaran, Andrea Agostinelli, Pierre Richemond, Anil Anthony Bharath
    http://arxiv.org/abs/1911.09615v1

    • [cs.LG]Scalable methods for computing state similarity in deterministic Markov Decision Processes
    Pablo Samuel Castro
    http://arxiv.org/abs/1911.09291v1

    • [cs.LG]System Identification with Time-Aware Neural Sequence Models
    Thomas Demeester
    http://arxiv.org/abs/1911.09431v1

    • [cs.LG]Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller
    Pratyusha Sharma, Deepak Pathak, Abhinav Gupta
    http://arxiv.org/abs/1911.09676v1

    • [cs.LG]Towards FAIR protocols and workflows: The OpenPREDICT case study
    Remzi Celebi, Joao Rebelo Moreira, Ahmed A. Hassan, Sandeep Ayyar, Lars Ridder, Tobias Kuhn, Michel Dumontier
    http://arxiv.org/abs/1911.09531v1

    • [cs.LG]Video Segment Copy Detection Using Memory Constrained Hierarchical Batch-Normalized LSTM Autoencoder
    Arjun Krishna, A S Akil Arif Ibrahim
    http://arxiv.org/abs/1911.09518v1

    • [cs.LG]Visual Tactile Fusion Object Clustering
    Tao Zhang, Yang Cong, Gan Sun, Qianqian Wang, Zhenming Ding
    http://arxiv.org/abs/1911.09430v1

    • [cs.LG]Volume-preserving Neural Networks: A Solution to the Vanishing Gradient Problem
    Gordon MacDonald, Andrew Godbout, Bryn Gillcash, Stephanie Cairns
    http://arxiv.org/abs/1911.09576v1

    • [cs.LG]Vouw: Geometric Pattern Mining using the MDL Principle
    Micky Faas, Matthijs van Leeuwen
    http://arxiv.org/abs/1911.09587v1

    • [cs.MA]Agent Probing Interaction Policies
    Oluwafemi Azeez, Siddharth Ghiya, Brendan Miller
    http://arxiv.org/abs/1911.09535v1

    • [cs.NE]DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions
    Andrew Hryniowski, Alexander Wong
    http://arxiv.org/abs/1911.09257v1

    • [cs.NE]Predictive Coding as Stimulus Avoidance in Spiking Neural Networks
    Atsushi Masumori, Lana Sinapayen, Takashi Ikegami
    http://arxiv.org/abs/1911.09230v1

    • [cs.NI]Machine Learning based detection of multiple Wi-Fi BSSs for LTE-U CSAT
    Vanlin Sathya, Adam Dziedzic, Monisha Ghosh, Sanjay Krishnan
    http://arxiv.org/abs/1911.09292v1

    • [cs.RO]A Continuous Teleoperation Subspace with Empirical and Algorithmic Mapping Algorithms for Non-Anthropomorphic Hands
    Cassie Meeker, Maximilian Haas-Heger, Matei Ciocarlie
    http://arxiv.org/abs/1911.09565v1

    • [cs.RO]Camera-to-Robot Pose Estimation from a Single Image
    Timothy E. Lee, Jonathan Tremblay, Thang To, Jia Cheng, Terry Mosier, Oliver Kroemer, Dieter Fox, Stan Birchfield
    http://arxiv.org/abs/1911.09231v1

    • [cs.RO]Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies
    Visak Kumar, Tucker Herman, Dieter Fox, Stan Birchfield, Jonathan Tremblay
    http://arxiv.org/abs/1911.09233v1

    • [cs.RO]Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case
    Jaskaran Grover, Changliu Liu, Katia Sycara
    http://arxiv.org/abs/1911.09146v1

    • [cs.RO]Feedback Motion Planning for Long-Range Autonomous Underwater Vehicles
    Opeyemi S. Orioke, Tauhidul Alam, Joseph Quinn, Ramneek Kaur, Wesam H. Alsabban, Leonardo Bobadilla, Ryan N. Smith
    http://arxiv.org/abs/1911.09581v1

    • [cs.RO]Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections
    Golnaz Habibi, Nikita Japuria, Jonathan P. How
    http://arxiv.org/abs/1911.09476v1

    • [cs.RO]Integrated Motion Planner for Real-time Aerial Videography with a Drone in a Dense Environment
    Boseong Jeon, H. Jin Kim
    http://arxiv.org/abs/1911.09280v1

    • [cs.RO]Magnetic-Assisted Initialization for Infrastructure-free Mobile Robot Localization
    Zhenyu Wu, Mingxing Wen, Guohao Peng, Xiaoyu Tang, Danwei Wang
    http://arxiv.org/abs/1911.09313v1

    • [cs.SD]Prosody Transfer in Neural Text to Speech Using Global Pitch and Loudness Features
    Siddharth Gururani, Kilol Gupta, Dhaval Shah, Zahra Shakeri, Jervis Pinto
    http://arxiv.org/abs/1911.09645v1

    • [cs.SE]Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net
    Christoph Gote, Ingo Scholtes, Frank Schweitzer
    http://arxiv.org/abs/1911.09484v1

    • [cs.SE]Tool-Supported Experiments for Continuously Collecting Data of Subjective Video Quality Assessments During Video Playback
    Oliver Karras, Jil Klünder, Kurt Schneider
    http://arxiv.org/abs/1911.09091v2

    • [cs.SI]Active Re-identification Attacks on Periodically Released Dynamic Social Graphs
    Xihui Chen, Ema Këpuska, Sjouke Mauw, Yunior Ramírez-Cruz
    http://arxiv.org/abs/1911.09534v1

    • [cs.SI]Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding
    Jiajing Wu, Qi Yuan, Dan Lin, Wei You, Weili Chen, Chuan Chen, Zibin Zheng
    http://arxiv.org/abs/1911.09259v1

    • [econ.EM]A Scrambled Method of Moments
    Jean-Jacques Forneron
    http://arxiv.org/abs/1911.09128v1

    • [econ.EM]Hybrid quantile estimation for asymmetric power GARCH models
    Guochang Wang, Ke Zhu, Guodong Li, Wai Keung Li
    http://arxiv.org/abs/1911.09343v1

    • [eess.AS]An End-to-End Audio Classification System based on Raw Waveforms and Mix-Training Strategy
    Jiaxu Chen, Jing Hao, Kai Chen, Di Xie, Shicai Yang, Shiliang Pu
    http://arxiv.org/abs/1911.09349v1

    • [eess.IV]AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
    Pierrick Coupé, Boris Mansencal, Michaël Clément, Rémi Giraud, Baudouin Denis de Senneville, Vinh-Thong Ta, Vincent Lepetit, José V. Manjon
    http://arxiv.org/abs/1911.09098v1

    • [eess.IV]Heart Segmentation From MRI Scans Using Convolutional Neural Network
    Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Usman, Imran Naseem, Muhammad Moinuddin
    http://arxiv.org/abs/1911.09332v1

    • [eess.IV]RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal
    Ling Zhang, Chengjiang Long, Xiaolong Zhang, Chunxia Xiao
    http://arxiv.org/abs/1911.09178v1

    • [eess.IV]Segmenting Medical MRI via Recurrent Decoding Cell
    Ying Wen, Kai Xie, Lianghua He
    http://arxiv.org/abs/1911.09401v1

    • [eess.IV]Semantic Segmentation of Thigh Muscle using 2.5D Deep Learning Network Trained with Limited Datasets
    Hasnine Haque, Masahiro Hashimoto, Nozomu Uetake, Masahiro Jinzaki
    http://arxiv.org/abs/1911.09249v1

    • [eess.IV]Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss
    Zhengyang Lu, Ying Chen
    http://arxiv.org/abs/1911.09428v1

    • [eess.IV]W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping
    Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko
    http://arxiv.org/abs/1911.08656v2

    • [eess.SP]Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction
    Hongqian Qin
    http://arxiv.org/abs/1911.08414v2

    • [eess.SP]Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring — The Winning Solution of the 2017 International Aftershock Detection Contest
    Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong
    http://arxiv.org/abs/1911.09275v1

    • [eess.SY]Safe Policies for Reinforcement Learning via Primal-Dual Methods
    Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon, Alejandro Ribeiro
    http://arxiv.org/abs/1911.09101v1

    • [hep-ph]OmniFold: A Method to Simultaneously Unfold All Observables
    Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, Jesse Thaler
    http://arxiv.org/abs/1911.09107v1

    • [math-ph]About the foundation of the Kubo Generalized Cumulants theory. A revisited and corrected approach
    Marco Bianucci, Mauro Bologna
    http://arxiv.org/abs/1911.09620v1

    • [math.DS]Density Propagation with Characteristics-based Deep Learning
    Tenavi Nakamura-Zimmerer, Daniele Venturi, Qi Gong, Wei Kang
    http://arxiv.org/abs/1911.09311v1

    • [math.NA]Uniform error estimates for artificial neural network approximations for heat equations
    Lukas Gonon, Philipp Grohs, Arnulf Jentzen, David Kofler, David Šiška
    http://arxiv.org/abs/1911.09647v1

    • [math.OC]Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control
    Jia-Jie Zhu, Georg Martius
    http://arxiv.org/abs/1911.09214v1

    • [math.OC]Gradient Method for Continuous Influence Maximization with Budget-Saving Considerations
    Wei Chen, Weizhong Zhang, Haoyu Zhao
    http://arxiv.org/abs/1911.09100v1

    • [math.OC]Motion control for autonomous heterogeneous multi-agent area search in uncertain conditions
    Stefan Ivić
    http://arxiv.org/abs/1911.09137v1

    • [math.ST]Sampling distribution for single-regression Granger causality estimators
    A. J. Gutknecht, L. Barnett
    http://arxiv.org/abs/1911.09625v1

    • [physics.comp-ph]Automatic Differentiable Monte Carlo: Theory and Application
    Shi-Xin Zhang, Zhou-Quan Wan, Hong Yao
    http://arxiv.org/abs/1911.09117v1

    • [q-bio.BM]Iterative Peptide Modeling With Active Learning And Meta-Learning
    Rainier Barrett, Andrew D. White
    http://arxiv.org/abs/1911.09103v1

    • [q-bio.NC]Decoding Spiking Mechanism with Dynamic Learning on Neuron Population
    Zhijie Chen, Junchi Yan, Longyuan Li, Xiaokang Yang
    http://arxiv.org/abs/1911.09309v1

    • [q-bio.QM]Autoregressive Modeling of Forest Dynamics
    Olga Rumyantseva, Andrey Sarantsev, Nikolay Strigul
    http://arxiv.org/abs/1911.09182v1

    • [quant-ph]Comment on “Quantum Games and Quantum Strategies”
    Anthony Bordg, Yijun He
    http://arxiv.org/abs/1911.09354v1

    • [quant-ph]Incompressibility of classical distributions
    Anurag Anshu, Debbie Leung, Dave Touchette
    http://arxiv.org/abs/1911.09126v1

    • [stat.AP]Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments
    Pulong Ma, Anirban Mondal, Bledar Konomi, Jonathan Hobbs, Joon Song, Emily Kang
    http://arxiv.org/abs/1911.09274v1

    • [stat.ME]A Practical Introduction to Regression Discontinuity Designs: Foundations
    Matias D. Cattaneo, Nicolas Idrobo, Rocio Titiunik
    http://arxiv.org/abs/1911.09511v1

    • [stat.ME]A semiparametric instrumental variable approach to optimal treatment regimes under endogeneity
    Yifan Cui, Eric Tchetgen Tchetgen
    http://arxiv.org/abs/1911.09260v1

    • [stat.ME]Bayesian forecasting of multivariate time series: Scalability, structure uncertainty and decisions
    Mike West
    http://arxiv.org/abs/1911.09656v1

    • [stat.ME]Controlling the FDR in variable selection via multiple knockoffs
    Kristen Emery, Uri Keich
    http://arxiv.org/abs/1911.09442v1

    • [stat.ME]Instrumental Variables: to Strengthen or not to Strengthen?
    Siyu Heng, Bo Zhang, Xu Han, Scott A. Lorch, Dylan S. Small
    http://arxiv.org/abs/1911.09171v1

    • [stat.ME]Interval-Valued Kriging Models for Geostatistical Mapping with Imprecise Inputs
    Brennan Bean, Yan Sun, Marc Maguire
    http://arxiv.org/abs/1911.09641v1

    • [stat.ME]On the Use of C-index for Stratified and Cross-Validated Cox Model
    Ruilin Li, Robert Tibshirani
    http://arxiv.org/abs/1911.09638v1

    • [stat.ME]Regression Discontinuity Design under Self-selection
    Sida Peng, Yang Ning
    http://arxiv.org/abs/1911.09248v1

    • [stat.ME]Smoothed Nested Testing on Directed Acyclic Graphs
    Wesley Tansey, Jackson H. Loper, Lihua Lei, William Fithian
    http://arxiv.org/abs/1911.09200v1

    • [stat.ME]Spline Analysis of Biomarker Data Pooled From Multiple Matched/Nested Case-Control Studies
    Yujie Wu, Mitchell H. Gail, Stephanie A. Smith-Warner, Regina G. Ziegler, Molin Wang
    http://arxiv.org/abs/1911.09254v1

    • [stat.ME]Statistical Analysis of Item Preknowledge in Educational Tests: Latent Variable Modelling and Statistical Decision Theory
    Yunxiao Chen, Yan Lu, Irini Moustaki
    http://arxiv.org/abs/1911.09408v1

    • [stat.ML]Bayesian optimization with local search
    Yuzhou Gao, Tengchao Yu, Jinglai Li
    http://arxiv.org/abs/1911.09159v1

    • [stat.ML]Continual Learning with Adaptive Weights (CLAW)
    Tameem Adel, Han Zhao, Richard E. Turner
    http://arxiv.org/abs/1911.09514v1

    • [stat.ML]Estimating uncertainty of earthquake rupture using Bayesian neural network
    Sabber Ahamed
    http://arxiv.org/abs/1911.09660v1

    • [stat.ML]Random Machines: A bagged-weighted support vector model with free kernel choice
    Anderson Ara, Mateus Maia, Samuel Macêdo, Francisco Louzada
    http://arxiv.org/abs/1911.09411v1

    • [stat.ML]Safe Linear Stochastic Bandits
    Kia Khezeli, Eilyan Bitar

    http://arxiv.org/abs/1911.09501v1