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