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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.FA - 泛函演算 math.NT - 数论 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Bridging the Gap between Semantics and Multimedia Processing
    • [cs.AI]Logical Interpretations of Autoencoders
    • [cs.AI]Towards Universal Languages for Tractable Ontology Mediated Query Answering
    • [cs.CL]A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
    • [cs.CL]A Time Series Analysis of Emotional Loading in Central Bank Statements
    • [cs.CL]A Vietnamese Text-Based Conversational Agent
    • [cs.CL]ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment
    • [cs.CL]CAWA: An Attention-Network for Credit Attribution
    • [cs.CL]Doc2Vec on the PubMed corpus: study of a new approach to generate related articles
    • [cs.CL]Emotional Neural Language Generation Grounded in Situational Contexts
    • [cs.CL]Examining the Role of Clickbait Headlines to Engage Readers with Reliable Health-related Information
    • [cs.CL]Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian
    • [cs.CL]Few-Shot Knowledge Graph Completion
    • [cs.CL]Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes
    • [cs.CL]Integrating Relation Constraints with Neural Relation Extractors
    • [cs.CL]Learning to Learn Words from Narrated Video
    • [cs.CL]Natural Language Generation Using Reinforcement Learning with External Rewards
    • [cs.CL]Neural Machine Translation with Explicit Phrase Alignment
    • [cs.CL]PIQA: Reasoning about Physical Commonsense in Natural Language
    • [cs.CL]Relevance-Promoting Language Model for Short-Text Conversation
    • [cs.CL]SemEval-2015 Task 3: Answer Selection in Community Question Answering
    • [cs.CL]Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling
    • [cs.CL]Single Headed Attention RNN: Stop Thinking With Your Head
    • [cs.CL]Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study
    • [cs.CR]Defending Against Adversarial Machine Learning
    • [cs.CR]Privacy preserving Neural Network Inference on Encrypted Data with GPUs
    • [cs.CR]RS-Mask: Random Space Masking as an Integrated Countermeasure against Power and Fault Analysis
    • [cs.CR]Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning
    • [cs.CV]A Neural Rendering Framework for Free-Viewpoint Relighting
    • [cs.CV]Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
    • [cs.CV]Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
    • [cs.CV]DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning
    • [cs.CV]Decoupling Features and Coordinates for Few-shot RGB Relocalization
    • [cs.CV]Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
    • [cs.CV]Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation
    • [cs.CV]Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog
    • [cs.CV]Efficient Saliency Maps for Explainable AI
    • [cs.CV]F3Net: Fusion, Feedback and Focus for Salient Object Detection
    • [cs.CV]FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
    • [cs.CV]G-TAD: Sub-Graph Localization for Temporal Action Detection
    • [cs.CV]Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
    • [cs.CV]Identifying Model Weakness with Adversarial Examiner
    • [cs.CV]Image2StyleGAN++: How to Edit the Embedded Images?
    • [cs.CV]LaFIn: Generative Landmark Guided Face Inpainting
    • [cs.CV]Learning Efficient Video Representation with Video Shuffle Networks
    • [cs.CV]MixNMatch: Multifactor Disentanglement and Encodingfor Conditional Image Generation
    • [cs.CV]Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
    • [cs.CV]Multi-Level Network for High-Speed Multi-Person Pose Estimation
    • [cs.CV]Multi-Task Driven Feature Models for Thermal Infrared Tracking
    • [cs.CV]Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads
    • [cs.CV]Occluded Pedestrian Detection with Visible IoU and Box Sign Predictor
    • [cs.CV]Oops! Predicting Unintentional Action in Video
    • [cs.CV]Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
    • [cs.CV]Procrustes registration of two-dimensional statistical shape models without correspondences
    • [cs.CV]RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
    • [cs.CV]Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
    • [cs.CV]Revisiting Deep Architectures for Head Motion Prediction in 360° Videos
    • [cs.CV]Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
    • [cs.CV]SRG: Snippet Relatedness-based Temporal Action Proposal Generator
    • [cs.CV]Shape Reconstruction by Learning Differentiable Surface Representations
    • [cs.CV]Shape-aware Feature Extraction for Instance Segmentation
    • [cs.CV]Skeleton based Zero Shot Action Recognition in Joint Pose-Language Semantic Space
    • [cs.CV]Spatial-Aware GAN for Unsupervised Person Re-identification
    • [cs.CV]SuperGlue: Learning Feature Matching with Graph Neural Networks
    • [cs.CV]Translation Insensitive CNNs
    • [cs.CV]Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting
    • [cs.CV]WSOD with PSNet and Box Regression
    • [cs.CY]Drivers affecting cloud ERP deployment decisions: an Australian study
    • [cs.DB]Join Query Optimization with Deep Reinforcement Learning Algorithms
    • [cs.DB]Schema Matching using Machine Learning
    • [cs.DC]A Comparison of Partitioning Strategies in AC Optimal Power Flow
    • [cs.DC]Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing
    • [cs.DC]FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads
    • [cs.DC]Index-Based Scheduling for Parallel State Machine Replication
    • [cs.DC]LogPlayer: Fault-tolerant Exactly-once Delivery using gRPC Asynchronous Streaming
    • [cs.DC]Summarizing CPU and GPU Design Trends with Product Data
    • [cs.HC]Semantic Interior Mapology: A Toolbox For Indoor Scene Description From Architectural Floor Plans
    • [cs.IR]A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page
    • [cs.IR]A Vietnamese information retrieval system for product-price
    • [cs.IR]Learning to Determine the Quality of News Headlines
    • [cs.IR]My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections
    • [cs.IT]A geometric characterization of minimal codes and their asymptotic performance
    • [cs.IT]CRT Based Spectral Convolution in Binary Fields
    • [cs.IT]DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback
    • [cs.IT]Minimal Linear Codes Constructed from Functions
    • [cs.IT]On the Distribution of the Ratio of Products of Fisher-Snedecor $\mathcal{F}$ Random Variables and Its Applications
    • [cs.IT]Optimal Design of Energy-Efficient Cell-Free Massive MIMO: Joint Power Allocation and Load Balancing
    • [cs.IT]Outage Duration in Poisson Networks and its Application to Erasure Codes
    • [cs.IT]UAV-Aided Jamming for Secure Ground Communication with Unknown Eavesdropper Location
    • [cs.LG]”You might also like this model”: Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
    • [cs.LG]A Measure of Similarity in Textual Data Using Spearman’s Rank Correlation Coefficient
    • [cs.LG]A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
    • [cs.LG]A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks
    • [cs.LG]A discriminative condition-aware backend for speaker verification
    • [cs.LG]An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations
    • [cs.LG]Behavior Regularized Offline Reinforcement Learning
    • [cs.LG]Biologically inspired architectures for sample-efficient deep reinforcement learning
    • [cs.LG]Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols
    • [cs.LG]Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning
    • [cs.LG]Contextual Combinatorial Conservative Bandits
    • [cs.LG]Control-Tutored Reinforcement Learning: an application to the Herding Problem
    • [cs.LG]Convolutional Composer Classification
    • [cs.LG]Cumulative Sum Ranking
    • [cs.LG]Deep Learning with Gaussian Differential Privacy
    • [cs.LG]Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem
    • [cs.LG]Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach
    • [cs.LG]Effective Decoding in Graph Auto-Encoder using Triadic Closure
    • [cs.LG]Electricity Load Forecasting — An Evaluation of Simple 1D-CNN Network Structures
    • [cs.LG]Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks
    • [cs.LG]FCA2VEC: Embedding Techniques for Formal Concept Analysis
    • [cs.LG]FairyTED: A Fair Rating Predictor for TED Talk Data
    • [cs.LG]Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
    • [cs.LG]Gradient Perturbation is Underrated for Differentially Private Convex Optimization
    • [cs.LG]Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
    • [cs.LG]Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data
    • [cs.LG]Independence Promoted Graph Disentangled Networks
    • [cs.LG]Multi-View Multiple Clusterings using Deep Matrix Factorization
    • [cs.LG]Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism
    • [cs.LG]Network Embedding: An Overview
    • [cs.LG]Network Intrusion Detection based on LSTM and Feature Embedding
    • [cs.LG]Neural Graph Matching Network: Learning Lawler’s Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
    • [cs.LG]OASIS: ILP-Guided Synthesis of Loop Invariants
    • [cs.LG]One Man’s Trash is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples
    • [cs.LG]Playing it Safe: Adversarial Robustness with an Abstain Option
    • [cs.LG]Prediction of Horizontal Data Partitioning Through Query Execution Cost Estimation
    • [cs.LG]Ranking architectures using meta-learning
    • [cs.LG]Recursive Prediction of Graph Signals with Incoming Nodes
    • [cs.LG]Semantic Bottleneck Scene Generation
    • [cs.LG]Semi-Supervised Learning for Text Classification by Layer Partitioning
    • [cs.LG]Structured Multi-Hashing for Model Compression
    • [cs.LG]Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
    • [cs.LG]The problem with DDPG: understanding failures in deterministic environments with sparse rewards
    • [cs.LG]Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning
    • [cs.LG]Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows
    • [cs.LG]When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
    • [cs.LG]Word-Class Embeddings for Multiclass Text Classification
    • [cs.RO]Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
    • [cs.RO]Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
    • [cs.SI]A Statistical Model for Dynamic Networks with Neural Variational Inference
    • [cs.SI]Creativity in dynamic networks: How divergent thinking is impacted by one’s choice of peers
    • [cs.SI]Disagreement and Polarization in Two-Party Social Networks
    • [eess.AS]Improving EEG based Continuous Speech Recognition
    • [eess.IV]A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder
    • [eess.IV]Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network
    • [eess.IV]Content-based image retrieval speedup
    • [eess.IV]Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
    • [eess.IV]Spectra2pix: Generating Nanostructure Images from Spectra
    • [eess.IV]Super-Resolution for Practical Automated Plant Disease Diagnosis System
    • [eess.SY]Internet of things-based (IoT) inventory monitoring refrigerator using arduino sensor network
    • [eess.SY]Minimal Driver Nodes for Structural Controllability of Large-Scale Dynamical Systems: Node Classification
    • [eess.SY]On the Complexity of Minimum-Cost Networked Estimation of Self-Damped Dynamical Systems
    • [math.FA]The recovery of complex sparse signals from few phaseless measurements
    • [math.NT]The distribution of the $L_4$ norm of Littlewood polynomials
    • [math.ST]A Note on Mixing in High Dimensional Time Series
    • [math.ST]Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
    • [math.ST]Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes
    • [math.ST]Drift Estimation for a Lévy-Driven Ornstein-Uhlenbeck Process with Heavy Tails
    • [math.ST]Histogram Transform Ensembles for Density Estimation
    • [math.ST]LASSO estimation for spherical autoregressive processes
    • [math.ST]On Optimal Solutions to Compound Statistical Decision Problems
    • [math.ST]Some More Results on Characterization of the Exponential Distribution
    • [physics.ao-ph]Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK using Hierarchical Directed Graphs
    • [physics.data-an]DeepRICH: Learning Deeply Cherenkov Detectors
    • [physics.soc-ph]Closure coefficients in scale-free complex networks
    • [q-bio.NC]Simplified calcium signaling cascade for synaptic plasticity
    • [stat.AP]Comprehensive decision-strategy space exploration for efficient territorial planning strategies
    • [stat.AP]Measuring systemic risk and contagion in the European financial network
    • [stat.AP]Modeling Variables with a Detection Limit using a Truncated Normal Distribution with Censoring
    • [stat.AP]Spatial Modeling for Correlated Cancers Using Bivariate Directed Graphs
    • [stat.AP]The spatiotemporal tau statistic: a review
    • [stat.ME]A High-dimensional M-estimator Framework for Bi-level Variable Selection
    • [stat.ME]Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway
    • [stat.ME]Generalized Bayesian Regression and Model Learning
    • [stat.ME]High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
    • [stat.ME]Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach
    • [stat.ME]The Early Roots of Statistical Learning in the Psychometric Literature: A review and two new results
    • [stat.ML]A User Study of Perceived Carbon Footprint
    • [stat.ML]Assessing Supply Chain Cyber Risks
    • [stat.ML]Learning sparse linear dynamic networks in a hyper-parameter free setting
    • [stat.ML]Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently
    • [stat.ML]Representation Learning: A Statistical Perspective
    • [stat.ML]Scalable Extreme Deconvolution

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    • [cs.AI]Bridging the Gap between Semantics and Multimedia Processing
    Marcio Ferreira Moreno, Guilherme Lima, Rodrigo Costa Mesquita Santos, Roberto Azevedo, Markus Endler
    http://arxiv.org/abs/1911.11631v1

    • [cs.AI]Logical Interpretations of Autoencoders
    Anton Fuxjaeger, Vaishak Belle
    http://arxiv.org/abs/1911.11629v1

    • [cs.AI]Towards Universal Languages for Tractable Ontology Mediated Query Answering
    Heng Zhang, Yan Zhang, Jia-Huai You, Zhiyong Feng, Guifei Jiang
    http://arxiv.org/abs/1911.11359v1

    • [cs.CL]A Large-scale Dataset for Argument Quality Ranking: Construction and Analysis
    Shai Gretz, Roni Friedman, Edo Cohen-Karlik, Assaf Toledo, Dan Lahav, Ranit Aharonov, Noam Slonim
    http://arxiv.org/abs/1911.11408v1

    • [cs.CL]A Time Series Analysis of Emotional Loading in Central Bank Statements
    Sven Buechel, Simon Junker, Thore Schlaak, Claus Michelsen, Udo Hahn
    http://arxiv.org/abs/1911.11522v1

    • [cs.CL]A Vietnamese Text-Based Conversational Agent
    Dai Quoc Nguyen, Dat Quoc Nguyen, Son Bao Pham
    http://arxiv.org/abs/1911.11547v1

    • [cs.CL]ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment
    Bo Yang, Xianlong Tan, Zhengmao Chen, Bing Wang, Dan Li, Zhongping Yang, Xiping Wu, Yi Lin
    http://arxiv.org/abs/1911.11365v1

    • [cs.CL]CAWA: An Attention-Network for Credit Attribution
    Saurav Manchanda, George Karypis
    http://arxiv.org/abs/1911.11358v1

    • [cs.CL]Doc2Vec on the PubMed corpus: study of a new approach to generate related articles
    Emeric Dynomant, Stéfan J. Darmoni, Émeline Lejeune, Gaëtan Kerdelhué, Jean-Philippe Leroy, Vincent Lequertier, Stéphane Canu, Julien Grosjean
    http://arxiv.org/abs/1911.11698v1

    • [cs.CL]Emotional Neural Language Generation Grounded in Situational Contexts
    Sashank Santhanam, Samira Shaikh
    http://arxiv.org/abs/1911.11161v1

    • [cs.CL]Examining the Role of Clickbait Headlines to Engage Readers with Reliable Health-related Information
    Sima Bhowmik, Md Main Uddin Rony, Md Mahfuzul Haque, Kristen Alley Swain, Naeemul Hassan
    http://arxiv.org/abs/1911.11214v1

    • [cs.CL]Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian
    Georgi Georgiev, Valentin Zhikov, Petya Osenova, Kiril Simov, Preslav Nakov
    http://arxiv.org/abs/1911.11503v1

    • [cs.CL]Few-Shot Knowledge Graph Completion
    Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla
    http://arxiv.org/abs/1911.11298v1

    • [cs.CL]Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes
    Gokul S Krishnan, Sowmya Kamath S
    http://arxiv.org/abs/1911.11657v1

    • [cs.CL]Integrating Relation Constraints with Neural Relation Extractors
    Yuan Ye, Yansong Feng, Bingfeng Luo, Yuxuan Lai, Dongyan Zhao
    http://arxiv.org/abs/1911.11493v1

    • [cs.CL]Learning to Learn Words from Narrated Video
    Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick
    http://arxiv.org/abs/1911.11237v1

    • [cs.CL]Natural Language Generation Using Reinforcement Learning with External Rewards
    Vidhushini Srinivasan, Sashank Santhanam, Samira Shaikh
    http://arxiv.org/abs/1911.11404v1

    • [cs.CL]Neural Machine Translation with Explicit Phrase Alignment
    Jiacheng Zhang, Huanbo Luan, Maosong Sun, FeiFei Zhai, Jingfang Xu, Yang Liu
    http://arxiv.org/abs/1911.11520v1

    • [cs.CL]PIQA: Reasoning about Physical Commonsense in Natural Language
    Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi
    http://arxiv.org/abs/1911.11641v1

    • [cs.CL]Relevance-Promoting Language Model for Short-Text Conversation
    Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam
    http://arxiv.org/abs/1911.11489v1

    • [cs.CL]SemEval-2015 Task 3: Answer Selection in Community Question Answering
    Preslav Nakov, Lluís Màrquez, Walid Magdy, Alessandro Moschitti, James Glass, Bilal Randeree
    http://arxiv.org/abs/1911.11403v1

    • [cs.CL]Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling
    Bo-Hsiang Tseng, Marek Rei, Paweł Budzianowski, Richard E. Turner, Bill Byrne, Anna Korhonen
    http://arxiv.org/abs/1911.11672v1

    • [cs.CL]Single Headed Attention RNN: Stop Thinking With Your Head
    Stephen Merity
    http://arxiv.org/abs/1911.11423v1

    • [cs.CL]Tracing State-Level Obesity Prevalence from Sentence Embeddings of Tweets: A Feasibility Study
    Xiaoyi Zhang, Rodoniki Athanasiadou, Narges Razavian
    http://arxiv.org/abs/1911.11324v1

    • [cs.CR]Defending Against Adversarial Machine Learning
    Alison Jenkins
    http://arxiv.org/abs/1911.11746v1

    • [cs.CR]Privacy preserving Neural Network Inference on Encrypted Data with GPUs
    Daniel Takabi, Robert Podschwadt, Jeff Druce, Curt Wu, Kevin Procopio
    http://arxiv.org/abs/1911.11377v1

    • [cs.CR]RS-Mask: Random Space Masking as an Integrated Countermeasure against Power and Fault Analysis
    Keyvan Ramezanpour, Paul Ampadu, William Diehl
    http://arxiv.org/abs/1911.11278v1

    • [cs.CR]Transaction Confirmation Time Prediction in Ethereum Blockchain Using Machine Learning
    Harsh Jot Singh, Abdelhakim Senhaji Hafid
    http://arxiv.org/abs/1911.11592v1

    • [cs.CV]A Neural Rendering Framework for Free-Viewpoint Relighting
    Zhang Chen, Anpei Chen, Guli Zhang, Chengyuan Wang, Yu Ji, Kiriakos N. Kutulakos, Jingyi Yu
    http://arxiv.org/abs/1911.11530v1

    • [cs.CV]Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors
    Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
    http://arxiv.org/abs/1911.11288v1

    • [cs.CV]Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
    Ye Yuan, Wuyang Chen, Tianlong Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Gang Hua
    http://arxiv.org/abs/1911.11314v1

    • [cs.CV]DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning
    Panhe Feng, Xuejing Kang, Lizhu Ye, Lei Zhu, Chunpeng Li, Anlong Ming
    http://arxiv.org/abs/1911.11582v1

    • [cs.CV]Decoupling Features and Coordinates for Few-shot RGB Relocalization
    Siyan Dong, Songyin Wu, Yixin Zhuang, Shanghang Zhang, Kai Xu, Baoquan Chen
    http://arxiv.org/abs/1911.11534v1

    • [cs.CV]Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism
    Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang
    http://arxiv.org/abs/1911.11351v1

    • [cs.CV]Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation
    Kuo-Shiuan Peng, Gregory Ditzler, Jerzy Rozenblit
    http://arxiv.org/abs/1911.11705v1

    • [cs.CV]Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog
    Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani
    http://arxiv.org/abs/1911.11390v1

    • [cs.CV]Efficient Saliency Maps for Explainable AI
    T. Nathan Mundhenk, Barry Y. Chen, Gerald Friedland
    http://arxiv.org/abs/1911.11293v1

    • [cs.CV]F3Net: Fusion, Feedback and Focus for Salient Object Detection
    Jun Wei, Shuhui Wang, Qingming Huang
    http://arxiv.org/abs/1911.11445v1

    • [cs.CV]FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization
    Xi Yin, Ying Tai, Yuge Huang, Xiaoming Liu
    http://arxiv.org/abs/1911.11680v1

    • [cs.CV]G-TAD: Sub-Graph Localization for Temporal Action Detection
    Mengmeng Xu, Chen Zhao, David S. Rojas, Ali Thabet, Bernard Ghanem
    http://arxiv.org/abs/1911.11462v1

    • [cs.CV]Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers
    Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song
    http://arxiv.org/abs/1911.11502v1

    • [cs.CV]Identifying Model Weakness with Adversarial Examiner
    Michelle Shu, Chenxi Liu, Weichao Qiu, Alan Yuille
    http://arxiv.org/abs/1911.11230v1

    • [cs.CV]Image2StyleGAN++: How to Edit the Embedded Images?
    Rameen Abdal, Yipeng Qin, Peter Wonka
    http://arxiv.org/abs/1911.11544v1

    • [cs.CV]LaFIn: Generative Landmark Guided Face Inpainting
    Yang Yang, Xiaojie Guo, Jiayi Ma, Lin Ma, Haibin Ling
    http://arxiv.org/abs/1911.11394v1

    • [cs.CV]Learning Efficient Video Representation with Video Shuffle Networks
    Pingchuan Ma, Yao Zhou, Yu Lu, Wei Zhang
    http://arxiv.org/abs/1911.11319v1

    • [cs.CV]MixNMatch: Multifactor Disentanglement and Encodingfor Conditional Image Generation
    Yuheng Li, Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee
    http://arxiv.org/abs/1911.11758v1

    • [cs.CV]Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns
    Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu
    http://arxiv.org/abs/1911.11294v1

    • [cs.CV]Multi-Level Network for High-Speed Multi-Person Pose Estimation
    Ying Huang, Jiankai Zhuang, Zengchang Qin
    http://arxiv.org/abs/1911.11686v1

    • [cs.CV]Multi-Task Driven Feature Models for Thermal Infrared Tracking
    Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yonsheng Liang
    http://arxiv.org/abs/1911.11384v1

    • [cs.CV]Multi-person Spatial Interaction in a Large Immersive Display Using Smartphones as Touchpads
    Gyanendra Sharma, Richard J Radke
    http://arxiv.org/abs/1911.11751v1

    • [cs.CV]Occluded Pedestrian Detection with Visible IoU and Box Sign Predictor
    Ruiqi Lu, Huimin Ma
    http://arxiv.org/abs/1911.11449v1

    • [cs.CV]Oops! Predicting Unintentional Action in Video
    Dave Epstein, Boyuan Chen, Carl Vondrick
    http://arxiv.org/abs/1911.11206v1

    • [cs.CV]Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
    Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee
    http://arxiv.org/abs/1911.11759v1

    • [cs.CV]Procrustes registration of two-dimensional statistical shape models without correspondences
    Alma Eguizabal, Peter Schreier, Juergen Schmidt
    http://arxiv.org/abs/1911.11431v1

    • [cs.CV]RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
    Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham
    http://arxiv.org/abs/1911.11236v1

    • [cs.CV]Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning
    Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han
    http://arxiv.org/abs/1911.11170v1

    • [cs.CV]Revisiting Deep Architectures for Head Motion Prediction in 360° Videos
    Miguel Fabian Romero Rondon, Lucile Sassatelli, Ramon Aparicio Pardo, Frederic Precioso
    http://arxiv.org/abs/1911.11702v1

    • [cs.CV]Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning
    Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma
    http://arxiv.org/abs/1911.11419v1

    • [cs.CV]SRG: Snippet Relatedness-based Temporal Action Proposal Generator
    Hyunjun Eun, Sumin Lee, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim
    http://arxiv.org/abs/1911.11306v1

    • [cs.CV]Shape Reconstruction by Learning Differentiable Surface Representations
    Jan Bednarik, Shaifali Parashar, Erhan Gundogdu, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/1911.11227v1

    • [cs.CV]Shape-aware Feature Extraction for Instance Segmentation
    Hao Ding, Siyuan Qiao, Wei Shen, Alan Yuille
    http://arxiv.org/abs/1911.11263v1

    • [cs.CV]Skeleton based Zero Shot Action Recognition in Joint Pose-Language Semantic Space
    Bhavan Jasani, Afshaan Mazagonwalla
    http://arxiv.org/abs/1911.11344v1

    • [cs.CV]Spatial-Aware GAN for Unsupervised Person Re-identification
    Fangneng Zhan, Shijian Lu, Aoran Xiao
    http://arxiv.org/abs/1911.11312v1

    • [cs.CV]SuperGlue: Learning Feature Matching with Graph Neural Networks
    Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
    http://arxiv.org/abs/1911.11763v1

    • [cs.CV]Translation Insensitive CNNs
    Ganesh Sundaramoorthi, Timothy E. Wang
    http://arxiv.org/abs/1911.11238v1

    • [cs.CV]Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting
    Weizhe Liu, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/1911.11484v1

    • [cs.CV]WSOD with PSNet and Box Regression
    Sheng Yi, Xi Li, Huimin Ma
    http://arxiv.org/abs/1911.11512v1

    • [cs.CY]Drivers affecting cloud ERP deployment decisions: an Australian study
    Xinyu Zhang
    http://arxiv.org/abs/1911.11309v1

    • [cs.DB]Join Query Optimization with Deep Reinforcement Learning Algorithms
    Jonas Heitz, Kurt Stockinger
    http://arxiv.org/abs/1911.11689v1

    • [cs.DB]Schema Matching using Machine Learning
    Tanvi Sahay, Ankita Mehta, Shruti Jadon
    http://arxiv.org/abs/1911.11543v1

    • [cs.DC]A Comparison of Partitioning Strategies in AC Optimal Power Flow
    Alexander Murray, Michael Kyesswa, Philipp Schmurr, Hüseyin K Çakmak, Veit Hagenmeyer
    http://arxiv.org/abs/1911.11516v1

    • [cs.DC]Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing
    Miguel E. Coimbra, Alexandre P. Francisco, Luís Veiga
    http://arxiv.org/abs/1911.11624v1

    • [cs.DC]FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads
    Guoping Long, Jun Yang, Wei Lin
    http://arxiv.org/abs/1911.11576v1

    • [cs.DC]Index-Based Scheduling for Parallel State Machine Replication
    Gang Wu1, Guodong Zhao, Yidong Song
    http://arxiv.org/abs/1911.11329v1

    • [cs.DC]LogPlayer: Fault-tolerant Exactly-once Delivery using gRPC Asynchronous Streaming
    Mohammad Roohitavaf, Kun Ren, Gene Zhang, Sami Ben-romdhane
    http://arxiv.org/abs/1911.11286v1

    • [cs.DC]Summarizing CPU and GPU Design Trends with Product Data
    Yifan Sun, Nicolas Bohm Agostini, Shi Dong, David Kaeli
    http://arxiv.org/abs/1911.11313v1

    • [cs.HC]Semantic Interior Mapology: A Toolbox For Indoor Scene Description From Architectural Floor Plans
    Viet Trinh, Roberto Manduchi
    http://arxiv.org/abs/1911.11356v1

    • [cs.IR]A Fast Template-based Approach to Automatically Identify Primary Text Content of a Web Page
    Dat Quoc Nguyen, Dai Quoc Nguyen, Son Bao Pham, The Duy Bui
    http://arxiv.org/abs/1911.11473v1

    • [cs.IR]A Vietnamese information retrieval system for product-price
    Tien-Thanh Vu, Dat Quoc Nguyen
    http://arxiv.org/abs/1911.11623v1

    • [cs.IR]Learning to Determine the Quality of News Headlines
    Amin Omidvar, Hossein Poormodheji, Aijun An, Gordon Edall
    http://arxiv.org/abs/1911.11139v1

    • [cs.IR]My Approach = Your Apparatus? Entropy-Based Topic Modeling on Multiple Domain-Specific Text Collections
    Julian Risch, Ralf Krestel
    http://arxiv.org/abs/1911.11240v1

    • [cs.IT]A geometric characterization of minimal codes and their asymptotic performance
    Gianira Nicoletta Alfarano, Martino Borello, Alessandro Neri
    http://arxiv.org/abs/1911.11738v1

    • [cs.IT]CRT Based Spectral Convolution in Binary Fields
    Muhammad Asad Khan, Sajid Saleem, Amir A Khan
    http://arxiv.org/abs/1911.11437v1

    • [cs.IT]DeepJSCC-f: Deep Joint-Source Channel Coding of Images with Feedback
    David Burth Kurka, Deniz Gündüz
    http://arxiv.org/abs/1911.11174v1

    • [cs.IT]Minimal Linear Codes Constructed from Functions
    Xia Wu, Wei Lu, Xiwang Cao
    http://arxiv.org/abs/1911.11632v1

    • [cs.IT]On the Distribution of the Ratio of Products of Fisher-Snedecor $\mathcal{F}$ Random Variables and Its Applications
    Hongyang Du, Jiayi Zhang, Kostas P. Peppas, Hui Zhao, Bo Ai, Xiaodan Zhang
    http://arxiv.org/abs/1911.11418v1

    • [cs.IT]Optimal Design of Energy-Efficient Cell-Free Massive MIMO: Joint Power Allocation and Load Balancing
    Trinh Van Chien, Emil Björnson, Erik G. Larsson
    http://arxiv.org/abs/1911.11375v1

    • [cs.IT]Outage Duration in Poisson Networks and its Application to Erasure Codes
    Udo Schilcher, Siddhartha Borkotoky, Jorge F. Schmidt, Christian Bettstetter
    http://arxiv.org/abs/1911.11490v1

    • [cs.IT]UAV-Aided Jamming for Secure Ground Communication with Unknown Eavesdropper Location
    Christantus O. Nnamani, Muhammad R. A. Khandaker, Mathini Sellathurai
    http://arxiv.org/abs/1911.11279v1

    • [cs.LG]“You might also like this model”: Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
    Ameya Prabhu, Riddhiman Dasgupta, Anush Sankaran, Srikanth Tamilselvam, Senthil Mani
    http://arxiv.org/abs/1911.11433v1

    • [cs.LG]A Measure of Similarity in Textual Data Using Spearman’s Rank Correlation Coefficient
    Nino Arsov, Milan Dukovski, Blagoja Evkoski, Stefan Cvetkovski
    http://arxiv.org/abs/1911.11750v1

    • [cs.LG]A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift
    Azadeh Sadat Mozafari, Hugo Siqueira Gomes, Christian Gagne
    http://arxiv.org/abs/1911.11195v1

    • [cs.LG]A Novel Visual Fault Detection and Classification System for Semiconductor Manufacturing Using Stacked Hybrid Convolutional Neural Networks
    Tobias Schlosser, Frederik Beuth, Michael Friedrich, Danny Kowerko
    http://arxiv.org/abs/1911.11250v1

    • [cs.LG]A discriminative condition-aware backend for speaker verification
    Luciana Ferrer, Mitchell McLaren
    http://arxiv.org/abs/1911.11622v1

    • [cs.LG]An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations
    Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Sajad Mousavi, Jonathan Ashdown, Kurt Turk
    http://arxiv.org/abs/1911.11343v1

    • [cs.LG]Behavior Regularized Offline Reinforcement Learning
    Yifan Wu, George Tucker, Ofir Nachum
    http://arxiv.org/abs/1911.11361v1

    • [cs.LG]Biologically inspired architectures for sample-efficient deep reinforcement learning
    Pierre H. Richemond, Arinbjörn Kolbeinsson, Yike Guo
    http://arxiv.org/abs/1911.11285v1

    • [cs.LG]Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols
    Travis LaCroix
    http://arxiv.org/abs/1911.11668v1

    • [cs.LG]Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning
    Xiaojiang Yang, Wendong Bi, Yu Cheng, Junchi Yan
    http://arxiv.org/abs/1911.10922v2

    • [cs.LG]Contextual Combinatorial Conservative Bandits
    Xiaojin Zhang, Shuai Li, Weiwen Liu
    http://arxiv.org/abs/1911.11337v1

    • [cs.LG]Control-Tutored Reinforcement Learning: an application to the Herding Problem
    Francesco De Lellis, Fabrizia Auletta, Giovanni Russo, Mario di Bernardo
    http://arxiv.org/abs/1911.11444v1

    • [cs.LG]Convolutional Composer Classification
    Harsh Verma, John Thickstun
    http://arxiv.org/abs/1911.11737v1

    • [cs.LG]Cumulative Sum Ranking
    Ruy Luiz Milidiú, Rafael Henrique Santos Rocha
    http://arxiv.org/abs/1911.11255v1

    • [cs.LG]Deep Learning with Gaussian Differential Privacy
    Zhiqi Bu, Jinshuo Dong, Qi Long, Weijie J. Su
    http://arxiv.org/abs/1911.11607v1

    • [cs.LG]Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem
    John Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
    http://arxiv.org/abs/1911.11260v1

    • [cs.LG]Device-Free User Authentication, Activity Classification and Tracking using Passive Wi-Fi Sensing: A Deep Learning Based Approach
    Vinoj Jayasundara, Hirunima Jayasekara, Tharaka Samarasinghe, Kasun T. Hemachandra
    http://arxiv.org/abs/1911.11743v1

    • [cs.LG]Effective Decoding in Graph Auto-Encoder using Triadic Closure
    Han Shi, Haozheng Fan, James T. Kwok
    http://arxiv.org/abs/1911.11322v1

    • [cs.LG]Electricity Load Forecasting — An Evaluation of Simple 1D-CNN Network Structures
    Christian Lang, Florian Steinborn, Oliver Steffens, Elmar W. Lang
    http://arxiv.org/abs/1911.11536v1

    • [cs.LG]Emergent Structures and Lifetime Structure Evolution in Artificial Neural Networks
    Siavash Golkar
    http://arxiv.org/abs/1911.11691v1

    • [cs.LG]FCA2VEC: Embedding Techniques for Formal Concept Analysis
    Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann
    http://arxiv.org/abs/1911.11496v1

    • [cs.LG]FairyTED: A Fair Rating Predictor for TED Talk Data
    Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer
    http://arxiv.org/abs/1911.11558v1

    • [cs.LG]Generative Temporal Link Prediction via Self-tokenized Sequence Modeling
    Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu
    http://arxiv.org/abs/1911.11486v1

    • [cs.LG]Gradient Perturbation is Underrated for Differentially Private Convex Optimization
    Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin
    http://arxiv.org/abs/1911.11363v1

    • [cs.LG]Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
    Tobias Schlosser, Michael Friedrich, Danny Kowerko
    http://arxiv.org/abs/1911.11251v1

    • [cs.LG]Host-based anomaly detection using Eigentraces feature extraction and one-class classification on system call trace data
    Ehsan Aghaei, Gursel Serpen
    http://arxiv.org/abs/1911.11284v1

    • [cs.LG]Independence Promoted Graph Disentangled Networks
    Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao
    http://arxiv.org/abs/1911.11430v1

    • [cs.LG]Multi-View Multiple Clusterings using Deep Matrix Factorization
    Shaowei Wei, Jun Wang, Guoxian Yu, Carlotta, Xiangliang Zhang
    http://arxiv.org/abs/1911.11396v1

    • [cs.LG]Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism
    Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu
    http://arxiv.org/abs/1911.11561v1

    • [cs.LG]Network Embedding: An Overview
    Nino Arsov, Georgina Mirceva
    http://arxiv.org/abs/1911.11726v1

    • [cs.LG]Network Intrusion Detection based on LSTM and Feature Embedding
    Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi
    http://arxiv.org/abs/1911.11552v1

    • [cs.LG]Neural Graph Matching Network: Learning Lawler’s Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching
    Runzhong Wang, Junchi Yan, Xiaokang Yang
    http://arxiv.org/abs/1911.11308v1

    • [cs.LG]OASIS: ILP-Guided Synthesis of Loop Invariants
    Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
    http://arxiv.org/abs/1911.11728v1

    • [cs.LG]One Man’s Trash is Another Man’s Treasure: Resisting Adversarial Examples by Adversarial Examples
    Chang Xiao, Changxi Zheng
    http://arxiv.org/abs/1911.11219v1

    • [cs.LG]Playing it Safe: Adversarial Robustness with an Abstain Option
    Cassidy Laidlaw, Soheil Feizi
    http://arxiv.org/abs/1911.11253v1

    • [cs.LG]Prediction of Horizontal Data Partitioning Through Query Execution Cost Estimation
    Nino Arsov, Goran Velinov, Aleksandar S. Dimovski, Bojana Koteska, Dragan Sahpaski, Margina Kon-Popovska
    http://arxiv.org/abs/1911.11725v1

    • [cs.LG]Ranking architectures using meta-learning
    Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz, Andrea Gesmundo, Gabor Bartok, Jesse Berent
    http://arxiv.org/abs/1911.11481v1

    • [cs.LG]Recursive Prediction of Graph Signals with Incoming Nodes
    Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
    http://arxiv.org/abs/1911.11542v1

    • [cs.LG]Semantic Bottleneck Scene Generation
    Samaneh Azadi, Michael Tschannen, Eric Tzeng, Sylvain Gelly, Trevor Darrell, Mario Lucic
    http://arxiv.org/abs/1911.11357v1

    • [cs.LG]Semi-Supervised Learning for Text Classification by Layer Partitioning
    Alexander Hanbo Li, Abhinav Sethy
    http://arxiv.org/abs/1911.11756v1

    • [cs.LG]Structured Multi-Hashing for Model Compression
    Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel A. Carreira-Perpinan
    http://arxiv.org/abs/1911.11177v1

    • [cs.LG]Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions
    Osaid Rehman Nasir, Shailesh Kumar Jha, Manraj Singh Grover, Yi Yu, Ajit Kumar, Rajiv Ratn Shah
    http://arxiv.org/abs/1911.11378v1

    • [cs.LG]The problem with DDPG: understanding failures in deterministic environments with sparse rewards
    Guillaume Matheron, Nicolas Perrin, Olivier Sigaud
    http://arxiv.org/abs/1911.11679v1

    • [cs.LG]Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning
    Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
    http://arxiv.org/abs/1911.11185v1

    • [cs.LG]Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows
    Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, Jenia Jitsev, Heinz Pitsch
    http://arxiv.org/abs/1911.11380v1

    • [cs.LG]When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
    Minghao Guo, Yuzhe Yang, Rui Xu, Ziwei Liu
    http://arxiv.org/abs/1911.10695v2

    • [cs.LG]Word-Class Embeddings for Multiclass Text Classification
    Alejandro Moreo, Andrea Esuli, Fabrizio Sebastiani
    http://arxiv.org/abs/1911.11506v1

    • [cs.RO]Imitation Learning of Robot Policies by Combining Language, Vision and Demonstration
    Simon Stepputtis, Joseph Campbell, Mariano Phielipp, Chitta Baral, Heni Ben Amor
    http://arxiv.org/abs/1911.11744v1

    • [cs.RO]Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving
    Rupert Mitchell, Jenny Fletcher, Jacopo Panerati, Amanda Prorok
    http://arxiv.org/abs/1911.11699v1

    • [cs.SI]A Statistical Model for Dynamic Networks with Neural Variational Inference
    Shubham Gupta, Rui M. Castro, Ambedkar Dukkipati
    http://arxiv.org/abs/1911.11455v1

    • [cs.SI]Creativity in dynamic networks: How divergent thinking is impacted by one’s choice of peers
    Raiyan Abdul Baten, Daryl Bagley, Ashely Tenesaca, Famous Clark, James P. Bagrow, Gourab Ghoshal, Mohammed Ehsan Hoque
    http://arxiv.org/abs/1911.11395v1

    • [cs.SI]Disagreement and Polarization in Two-Party Social Networks
    Yuhao Yi, Stacy Patterson
    http://arxiv.org/abs/1911.11338v1

    • [eess.AS]Improving EEG based Continuous Speech Recognition
    Gautam Krishna, Co Tran, Mason Carnahan, Yan Han, Ahmed H Tewfik
    http://arxiv.org/abs/1911.11610v1

    • [eess.IV]A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder
    Jin Xie, Longfei Wang, Paula Webster, Yang Yao, Jiayao Sun, Shuo Wang, Huihui Zhou
    http://arxiv.org/abs/1911.11393v1

    • [eess.IV]Automatic Post-Stroke Lesion Segmentation on MR Images using 3D Residual Convolutional Neural Network
    Naofumi Tomita, Steven Jiang, Matthew E. Maeder, Saeed Hassanpour
    http://arxiv.org/abs/1911.11209v1

    • [eess.IV]Content-based image retrieval speedup
    Sadegh Fadaei, Abdolreza Rashno, Elyas Rashno
    http://arxiv.org/abs/1911.11379v1

    • [eess.IV]Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement
    Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong, Wei Zhang, Feng Wu
    http://arxiv.org/abs/1911.11323v1

    • [eess.IV]Spectra2pix: Generating Nanostructure Images from Spectra
    Itzik Malkiel, Michael Mrejen, Lior Wolf, Haim Suchowski
    http://arxiv.org/abs/1911.11525v1

    • [eess.IV]Super-Resolution for Practical Automated Plant Disease Diagnosis System
    Quan Huu Cap, Hiroki Tani, Hiroyuki Uga, Satoshi Kagiwada, Hitoshi Iyatomi
    http://arxiv.org/abs/1911.11341v1

    • [eess.SY]Internet of things-based (IoT) inventory monitoring refrigerator using arduino sensor network
    Jessica Velasco, Leandro Alberto, Henrick Dave Ambatali, Marlon Canilang, Vincent Daria, Jerome Bryan Liwanag, Gilfred Allen Madrigal
    http://arxiv.org/abs/1911.11265v1

    • [eess.SY]Minimal Driver Nodes for Structural Controllability of Large-Scale Dynamical Systems: Node Classification
    Mohammadreza Doostmohammadian
    http://arxiv.org/abs/1911.11388v1

    • [eess.SY]On the Complexity of Minimum-Cost Networked Estimation of Self-Damped Dynamical Systems
    Mohammadreza Doostmohammadian, Usman Khan
    http://arxiv.org/abs/1911.11381v1

    • [math.FA]The recovery of complex sparse signals from few phaseless measurements
    Yu Xia, Zhiqiang Xu
    http://arxiv.org/abs/1911.11301v1

    • [math.NT]The distribution of the $L_4$ norm of Littlewood polynomials
    Jonathan Jedwab
    http://arxiv.org/abs/1911.11246v1

    • [math.ST]A Note on Mixing in High Dimensional Time Series
    Jiaqi Yin
    http://arxiv.org/abs/1911.10648v2

    • [math.ST]Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
    Sabyasachi Chatterjee, Subhajit Goswami
    http://arxiv.org/abs/1911.11562v1

    • [math.ST]Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes
    François Bachoc, José Bétancourt, Reinhard Furrer, Thierry Klein
    http://arxiv.org/abs/1911.11199v1

    • [math.ST]Drift Estimation for a Lévy-Driven Ornstein-Uhlenbeck Process with Heavy Tails
    Alexander Gushchin, Ilya Pavlyukevich, Marian Ritsch
    http://arxiv.org/abs/1911.11202v1

    • [math.ST]Histogram Transform Ensembles for Density Estimation
    Hanyuan Hang
    http://arxiv.org/abs/1911.11581v1

    • [math.ST]LASSO estimation for spherical autoregressive processes
    Alessia Caponera, Claudio Durastanti, Anna Vidotto
    http://arxiv.org/abs/1911.11470v1

    • [math.ST]On Optimal Solutions to Compound Statistical Decision Problems
    Asaf Weinstein
    http://arxiv.org/abs/1911.11422v1

    • [math.ST]Some More Results on Characterization of the Exponential Distribution
    Lev B. Klebanov, Zeev E. Vol’kovich
    http://arxiv.org/abs/1911.11193v1

    • [physics.ao-ph]Dynamic Complex Network Analysis of PM2.5 Concentrations in the UK using Hierarchical Directed Graphs
    Parya Broomandi, Xueyu Geng, Weisi Guo, Jong Kim, Alessio Pagani, David Topping
    http://arxiv.org/abs/1911.11508v1

    • [physics.data-an]DeepRICH: Learning Deeply Cherenkov Detectors
    Cristiano Fanelli, Jary Pomponi
    http://arxiv.org/abs/1911.11717v1

    • [physics.soc-ph]Closure coefficients in scale-free complex networks
    Clara Stegehuis
    http://arxiv.org/abs/1911.11410v1

    • [q-bio.NC]Simplified calcium signaling cascade for synaptic plasticity
    Vladimir Kornijcuk, Dohun Kim, Guhyun Kim, Doo Seok Jeong
    http://arxiv.org/abs/1911.11326v1

    • [stat.AP]Comprehensive decision-strategy space exploration for efficient territorial planning strategies
    Olivier Billaud, Maxence Soubeyrand, Sandra Luque, Maxime Lenormand
    http://arxiv.org/abs/1911.11460v1

    • [stat.AP]Measuring systemic risk and contagion in the European financial network
    Laleh Tafakori, Armin Pourkhanali, Riccardo Rastelli
    http://arxiv.org/abs/1911.11488v1

    • [stat.AP]Modeling Variables with a Detection Limit using a Truncated Normal Distribution with Censoring
    Justin R. Williams, Hyung-Woo Kim, Catherine M. Crespi
    http://arxiv.org/abs/1911.11221v1

    • [stat.AP]Spatial Modeling for Correlated Cancers Using Bivariate Directed Graphs
    Leiwen Gao, Sudipto Banerjee, Abhirup Datta
    http://arxiv.org/abs/1911.11342v1

    • [stat.AP]The spatiotemporal tau statistic: a review
    Timothy M. Pollington, Michael J. Tildesley, T. Déirdre Hollingsworth, Lloyd A. C. Chapman
    http://arxiv.org/abs/1911.11476v1

    • [stat.ME]A High-dimensional M-estimator Framework for Bi-level Variable Selection
    Bin Luo, Xiaoli Gao
    http://arxiv.org/abs/1911.11646v1

    • [stat.ME]Accounting for spatial varying sampling effort due to accessibility in Citizen Science data: A case study of moose in Norway
    J. Sicacha-Parada, I. Steinsland, B. Cretois, J. Borgelt
    http://arxiv.org/abs/1911.11467v1

    • [stat.ME]Generalized Bayesian Regression and Model Learning
    Tony Tohme, Kevin Vanslette, Kamal Youcef-Toumi
    http://arxiv.org/abs/1911.11715v1

    • [stat.ME]High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
    Abhishek Chakrabortty, Jiarui Lu, T. Tony Cai, Hongzhe Li
    http://arxiv.org/abs/1911.11345v1

    • [stat.ME]Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach
    Ana F. Vidal, Valentin De Bortoli, Marcelo Pereyra, Alain Durmus
    http://arxiv.org/abs/1911.11709v1

    • [stat.ME]The Early Roots of Statistical Learning in the Psychometric Literature: A review and two new results
    Mark de Rooij, Bunga Citra Pratiwi, Marjolein Fokkema, Elise Dusseldorp, Henk Kelderman
    http://arxiv.org/abs/1911.11463v1

    • [stat.ML]A User Study of Perceived Carbon Footprint
    Victor Kristof, Valentin Quelquejay-Leclère, Robin Zbinden, Lucas Maystre, Matthias Grossglauser, Patrick Thiran
    http://arxiv.org/abs/1911.11658v1

    • [stat.ML]Assessing Supply Chain Cyber Risks
    Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua, Jordi Domingo
    http://arxiv.org/abs/1911.11652v1

    • [stat.ML]Learning sparse linear dynamic networks in a hyper-parameter free setting
    Arun Venkitaraman, Håkan Hjalmarsson, Bo Wahlberg
    http://arxiv.org/abs/1911.11553v1

    • [stat.ML]Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently
    Laixi Shi, Yuejie Chi
    http://arxiv.org/abs/1911.11167v1

    • [stat.ML]Representation Learning: A Statistical Perspective
    Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
    http://arxiv.org/abs/1911.11374v1

    • [stat.ML]Scalable Extreme Deconvolution
    James A. Ritchie, Iain Murray
    http://arxiv.org/abs/1911.11663v1