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