astro-ph.IM - 仪器仪表和天体物理学方法
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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 cs.SY - 系统与控制 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]A Stochastic LBFGS Algorithm for Radio Interferometric Calibration
• [cs.AI]MODL: A Modular Ontology Design Library
• [cs.AI]Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion
• [cs.AI]Ontologies-based Architecture for Sociocultural Knowledge Co-Construction Systems
• [cs.CL]A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
• [cs.CL]A high quality and phonetic balanced speech corpus for Vietnamese
• [cs.CL]Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
• [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
• [cs.CL]Corpora Generation for Grammatical Error Correction
• [cs.CL]Cross-topic distributional semantic representations via unsupervised mappings
• [cs.CL]FrameRank: A Text Processing Approach to Video Summarization
• [cs.CL]Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar
• [cs.CL]Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
• [cs.CL]Generating Animations from Screenplays
• [cs.CL]Modeling Global Syntactic Variation in English Using Dialect Classification
• [cs.CL]Modeling the Complexity and Descriptive Adequacy of Construction Grammars
• [cs.CL]Multi-lingual Dialogue Act Recognition with Deep Learning Methods
• [cs.CL]Providing Advanced Access to Historical War Memoirs Through the Identification of Events, Participants and Roles
• [cs.CL]Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
• [cs.CL]Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata
• [cs.CL]wav2vec: Unsupervised Pre-training for Speech Recognition
• [cs.CR]A Survey of Distributed Consensus Protocols for Blockchain Networks
• [cs.CR]Information Leakage in Encrypted Deduplication via Frequency Analysis: Attacks and Defenses
• [cs.CR]Privacy protocols
• [cs.CV]3D Dense Face Alignment via Graph Convolution Networks
• [cs.CV]A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
• [cs.CV]A Simple Baseline for Audio-Visual Scene-Aware Dialog
• [cs.CV]An Analysis of Pre-Training on Object Detection
• [cs.CV]An Empirical Study of Spatial Attention Mechanisms in Deep Networks
• [cs.CV]Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices
• [cs.CV]Attentive Action and Context Factorization
• [cs.CV]BAOD: Budget-Aware Object Detection
• [cs.CV]Black-Box Decision based Adversarial Attack with Symmetric $α$-stable Distribution
• [cs.CV]C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
• [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
• [cs.CV]Detecting Repeating Objects using Patch Correlation Analysis
• [cs.CV]Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network
• [cs.CV]Direct Fitting of Gaussian Mixture Models
• [cs.CV]Efficient and Robust Registration on the 3D Special Euclidean Group
• [cs.CV]Elucidating image-to-set prediction: An analysis of models, losses and datasets
• [cs.CV]Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
• [cs.CV]FRNET: Flattened Residual Network for Infant MRI Skull Stripping
• [cs.CV]FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
• [cs.CV]Factor Graph Attention
• [cs.CV]Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
• [cs.CV]Generalizing Monocular 3D Human Pose Estimation in the Wild
• [cs.CV]Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
• [cs.CV]Improved training of binary networks for human pose estimation and image recognition
• [cs.CV]Instance Segmentation based Semantic Matting for Compositing Applications
• [cs.CV]Learning Single Camera Depth Estimation using Dual-Pixels
• [cs.CV]Learning joint reconstruction of hands and manipulated objects
• [cs.CV]Learning to Generate Synthetic Data via Compositing
• [cs.CV]MAIN: Multi-Attention Instance Network for Video Segmentation
• [cs.CV]Pixel-Adaptive Convolutional Neural Networks
• [cs.CV]Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation
• [cs.CV]Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
• [cs.CV]Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
• [cs.CV]Reasoning Visual Dialogs with Structural and Partial Observations
• [cs.CV]Reconstructing Network Inputs with Additive Perturbation Signatures
• [cs.CV]Recurrent Space-time Graphs for Video Understanding
• [cs.CV]Reducing Lateral Visual Biases in Displays
• [cs.CV]Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
• [cs.CV]Sliced Wasserstein Generative Models
• [cs.CV]Software Based Higher Order Structural Foot Abnormality Detection Using Image Processing
• [cs.CV]Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
• [cs.CV]Two Body Problem: Collaborative Visual Task Completion
• [cs.CV]Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
• [cs.CV]Variational Information Distillation for Knowledge Transfer
• [cs.CV]Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
• [cs.CV]YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
• [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
• [cs.CY]Leveraging Distributed Ledger Technologies and Blockchain to Combat Fake News
• [cs.CY]Political Discussions in Homogeneous and Cross-Cutting Communication Spaces
• [cs.CY]The Role of Big Data Analytics in Industrial Internet of Things
• [cs.DC]Energy-Efficient High-Throughput Data Transfers via Dynamic CPU Frequency and Core Scaling
• [cs.DC]FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
• [cs.DC]Locality of not-so-weak coloring
• [cs.DC]Modular programming of computing media using spatial types, for artificial physics
• [cs.DC]Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
• [cs.DC]R-Storm: Resource-Aware Scheduling in Storm
• [cs.DC]Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication
• [cs.DC]Timely-Throughput Optimal Coded Computing over Cloud Networks
• [cs.DS]Efficient Distributed Workload (Re-)Embedding
• [cs.GT]The Convergence of Iterative Delegations in Liquid Democracy in a Social Network
• [cs.IR]Investigating Retrieval Method Selection with Axiomatic Features
• [cs.IR]Searching Heterogeneous Personal Digital Traces
• [cs.IT]Centralized Coded Caching with User Cooperation
• [cs.IT]Covariance Evolution for Spatially “Mt. Fuji” Coupled LDPC Codes
• [cs.IT]On Code Design for Wireless Channels with Additive Radar Interference
• [cs.IT]On Error Decoding of Locally Repairable and Partial MDS Codes
• [cs.IT]On Fractional Decoding of Reed-Solomon Codes
• [cs.IT]On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems
• [cs.IT]On the 2-Adic Complexity of the Ding-Helleseth-Martinsen Binary Sequences
• [cs.IT]Optimality in Quantum Data Compression using Dynamical Entropy
• [cs.IT]Solving the large syndrome calculation problem in steganography
• [cs.IT]The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications
• [cs.LG]Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
• [cs.LG]Bridging Theory and Algorithm for Domain Adaptation
• [cs.LG]Deep Learning for System Trace Restoration
• [cs.LG]Deep Neural Network Ensembles
• [cs.LG]Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
• [cs.LG]FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
• [cs.LG]KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
• [cs.LG]Knowledge Flow: Improve Upon Your Teachers
• [cs.LG]Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models
• [cs.LG]Max-Sliced Wasserstein Distance and its use for GANs
• [cs.LG]Membership Inference Attacks on Sequence-to-Sequence Models
• [cs.LG]Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
• [cs.LG]Modified online Newton step based on element wise multiplication
• [cs.LG]MxML: Mixture of Meta-Learners for Few-Shot Classification
• [cs.LG]One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
• [cs.LG]Recurrent Event Network for Reasoning over Temporal Knowledge Graphs
• [cs.LG]ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning
• [cs.LG]Relational Graph Attention Networks
• [cs.LG]Restricted Isometry Property under High Correlations
• [cs.LG]Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
• [cs.LG]Scalarizing Functions in Bayesian Multiobjective Optimization
• [cs.LG]Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
• [cs.LG]Using Weight Mirrors to Improve Feedback Alignment
• [cs.NE]GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
• [cs.NE]Multiplicative Up-Drift
• [cs.NE]Short note on the behavior of recurrent neural network for noisy dynamical system
• [cs.RO]Autonomous Robot Navigation with Rich Information Mapping in Nuclear Storage Environments
• [cs.RO]Efficient LiDAR data compression for embedded V2I or V2V data handling
• [cs.RO]Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
• [cs.RO]Learning to Take Good Pictures of People with a Robot Photographer
• [cs.RO]Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Design
• [cs.RO]ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
• [cs.SD]STC Antispoofing Systems for the ASVspoof2019 Challenge
• [cs.SI]Percolation Threshold for Competitive Influence in Random Networks
• [cs.SY]Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections
• [eess.AS]RawNet: Fast End-to-End Neural Vocoder
• [eess.IV]CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography
• [eess.IV]Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
• [eess.SP]Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar
• [math.NA]A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations
• [math.OC]Connections Between Adaptive Control and Optimization in Machine Learning
• [math.OC]Constructing Clustering Transformations
• [math.OC]Deep learning as optimal control problems: models and numerical methods
• [math.OC]Least Squares Auto-Tuning
• [math.ST]Comparing a Large Number of Multivariate Distributions
• [math.ST]Efficient Entropy Estimation for Stationary Time Series
• [physics.soc-ph]Relational flexibility of network elements based on inconsistent community detection
• [physics.soc-ph]Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games
• [q-bio.QM]Scanner Invariant Representations for Diffusion MRI Harmonization
• [q-fin.ST]Feature Engineering for Mid-Price Prediction Forecasting with Deep Learning
• [stat.ME]FATSO: A family of operators for variable selection in linear models
• [stat.ME]Practical Valid Inferences for the Two-Sample Binomial Problem
• [stat.ME]Robust Principal Component Analysis for Compositional Tables
• [stat.ML]A Selective Overview of Deep Learning
• [stat.ML]A machine learning approach for underwater gas leakage detection
• [stat.ML]Autoregressive Energy Machines
• [stat.ML]Compressed sensing reconstruction using Expectation Propagation
• [stat.ML]The Weight Function in the Subtree Kernel is Decisive
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• [astro-ph.IM]A Stochastic LBFGS Algorithm for Radio Interferometric Calibration
Sarod Yatawatta, Lukas De Clercq, Hanno Spreeuw, Faruk Diblen
http://arxiv.org/abs/1904.05619v1
• [cs.AI]MODL: A Modular Ontology Design Library
Cogan Shimizu, Quinn Hirt, Pascal Hitzler
http://arxiv.org/abs/1904.05405v1
• [cs.AI]Non-locally Encoder-Decoder Convolutional Network for Whole Brain QSM Inversion
Juan Liu, Kevin M. Koch
http://arxiv.org/abs/1904.05493v1
• [cs.AI]Ontologies-based Architecture for Sociocultural Knowledge Co-Construction Systems
Guidedi Kaladzavi, Papa Fary Diallo, Cedric Béré, Olivier Corby, Isabelle Mirbel, Moussa Lo, Dina Taiwe Kolyang
http://arxiv.org/abs/1904.05596v1
• [cs.CL]A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages
Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May
http://arxiv.org/abs/1904.05426v1
• [cs.CL]A high quality and phonetic balanced speech corpus for Vietnamese
Pham Ngoc Phuong, Quoc Truong Do, Luong Chi Mai
http://arxiv.org/abs/1904.05569v1
• [cs.CL]Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Kechen Qin, Cheng Li, Virgil Pavlu, Javed A. Aslam
http://arxiv.org/abs/1904.05829v1
• [cs.CL]ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
Kexin Huang, Jaan Altosaar, Rajesh Ranganath
http://arxiv.org/abs/1904.05342v2
• [cs.CL]Corpora Generation for Grammatical Error Correction
Jared Lichtarge, Chris Alberti, Shankar Kumar, Noam Shazeer, Niki Parmar, Simon Tong
http://arxiv.org/abs/1904.05780v1
• [cs.CL]Cross-topic distributional semantic representations via unsupervised mappings
Eleftheria Briakou, Nikos Athanasiou, Alexandros Potamianos
http://arxiv.org/abs/1904.05674v1
• [cs.CL]FrameRank: A Text Processing Approach to Video Summarization
Zhuo Lei, Chao Zhang, Qian Zhang, Guoping Qiu
http://arxiv.org/abs/1904.05544v1
• [cs.CL]Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar
Jonathan Dunn
http://arxiv.org/abs/1904.05529v1
• [cs.CL]Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
Jorge A. Balazs, Yutaka Matsuo
http://arxiv.org/abs/1904.05584v1
• [cs.CL]Generating Animations from Screenplays
Yeyao Zhang, Eleftheria Tsipidi, Sasha Schriber, Mubbasir Kapadia, Markus Gross, Ashutosh Modi
http://arxiv.org/abs/1904.05440v1
• [cs.CL]Modeling Global Syntactic Variation in English Using Dialect Classification
Jonathan Dunn
http://arxiv.org/abs/1904.05527v1
• [cs.CL]Modeling the Complexity and Descriptive Adequacy of Construction Grammars
Jonathan Dunn
http://arxiv.org/abs/1904.05588v1
• [cs.CL]Multi-lingual Dialogue Act Recognition with Deep Learning Methods
Jiří Martínek, Pavel Král, Ladislav Lenc, Christophe Cerisara
http://arxiv.org/abs/1904.05606v1
• [cs.CL]Providing Advanced Access to Historical War Memoirs Through the Identification of Events, Participants and Roles
Marco Rovera, Federico Nanni, Simone Paolo Ponzetto
http://arxiv.org/abs/1904.05439v1
• [cs.CL]Scalable Cross-Lingual Transfer of Neural Sentence Embeddings
Hanan Aldarmaki, Mona Diab
http://arxiv.org/abs/1904.05542v1
• [cs.CL]Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata
Charlotte Rudnik, Thibault Ehrhart, Olivier Ferret, Denis Teyssou, Raphaël Troncy, Xavier Tannier
http://arxiv.org/abs/1904.05557v1
• [cs.CL]wav2vec: Unsupervised Pre-training for Speech Recognition
Steffen Schneider, Alexei Baevski, Ronan Collobert, Michael Auli
http://arxiv.org/abs/1904.05862v1
• [cs.CR]A Survey of Distributed Consensus Protocols for Blockchain Networks
Yang Xiao, Ning Zhang, Wenjing Lou, Y. Thomas Hou
http://arxiv.org/abs/1904.04098v1
• [cs.CR]Information Leakage in Encrypted Deduplication via Frequency Analysis: Attacks and Defenses
Jingwei Li, Patrick P. C. Lee, Chufeng Tan, Chuan Qin, Xiaosong Zhang
http://arxiv.org/abs/1904.05736v1
• [cs.CR]Privacy protocols
Jason Castiglione, Dusko Pavlovic, Peter-Michael Seidel
http://arxiv.org/abs/1904.05540v1
• [cs.CV]3D Dense Face Alignment via Graph Convolution Networks
Huawei Wei, Shuang Liang, Yichen Wei
http://arxiv.org/abs/1904.05562v1
• [cs.CV]A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
http://arxiv.org/abs/1904.05730v1
• [cs.CV]A Simple Baseline for Audio-Visual Scene-Aware Dialog
Idan Schwartz, Alexander Schwing, Tamir Hazan
http://arxiv.org/abs/1904.05876v1
• [cs.CV]An Analysis of Pre-Training on Object Detection
Hengduo Li, Bharat Singh, Mahyar Najibi, Zuxuan Wu, Larry S. Davis
http://arxiv.org/abs/1904.05871v1
• [cs.CV]An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai
http://arxiv.org/abs/1904.05873v1
• [cs.CV]Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
http://arxiv.org/abs/1904.05449v1
• [cs.CV]Attentive Action and Context Factorization
Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai
http://arxiv.org/abs/1904.05410v1
• [cs.CV]BAOD: Budget-Aware Object Detection
Alejandro Pardo, Mengmeng Xu, Ali Thabet, Pablo Arbelaez, Bernard Ghanem
http://arxiv.org/abs/1904.05443v1
• [cs.CV]Black-Box Decision based Adversarial Attack with Symmetric $α$-stable Distribution
Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
http://arxiv.org/abs/1904.05586v1
• [cs.CV]C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye
http://arxiv.org/abs/1904.05647v1
• [cs.CV]C3AE: Exploring the Limits of Compact Model for Age Estimation
Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu
http://arxiv.org/abs/1904.05059v2
• [cs.CV]Detecting Repeating Objects using Patch Correlation Analysis
Inbar Huberman, Raanan Fattal
http://arxiv.org/abs/1904.05629v1
• [cs.CV]Difficulty-aware Image Super Resolution via Deep Adaptive Dual-Network
Jinghui Qin, Ziwei Xie, Yukai Shi, Wushao Wen
http://arxiv.org/abs/1904.05802v1
• [cs.CV]Direct Fitting of Gaussian Mixture Models
Leonid Keselman, Martial Hebert
http://arxiv.org/abs/1904.05537v1
• [cs.CV]Efficient and Robust Registration on the 3D Special Euclidean Group
Uttaran Bhattacharya, Venu Madhav Govindu
http://arxiv.org/abs/1904.05519v1
• [cs.CV]Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero
http://arxiv.org/abs/1904.05709v1
• [cs.CV]Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black
http://arxiv.org/abs/1904.05866v1
• [cs.CV]FRNET: Flattened Residual Network for Infant MRI Skull Stripping
Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen
http://arxiv.org/abs/1904.05578v1
• [cs.CV]FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation
Xiang Chen, Lingbo Qing, Xiaohai He, Xiaodong Luo, Yining Xu
http://arxiv.org/abs/1904.05729v1
• [cs.CV]Factor Graph Attention
Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing
http://arxiv.org/abs/1904.05880v1
• [cs.CV]Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
Lingxiao He, Yinggang Wang, Wu Liu, Xingyu Liao, He Zhao, Zhenan Sun, Jiashi Feng
http://arxiv.org/abs/1904.04975v2
• [cs.CV]Generalizing Monocular 3D Human Pose Estimation in the Wild
Luyang Wang, Yan Chen, Zhenhua Guo, Keyuan Qian, Mude Lin, Hongsheng Li, Jimmy S. Ren
http://arxiv.org/abs/1904.05512v1
• [cs.CV]Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
Chen Li, Gim Hee Lee
http://arxiv.org/abs/1904.05547v1
• [cs.CV]Improved training of binary networks for human pose estimation and image recognition
Adrian Bulat, Georgios Tzimiropoulos, Jean Kossaifi, Maja Pantic
http://arxiv.org/abs/1904.05868v1
• [cs.CV]Instance Segmentation based Semantic Matting for Compositing Applications
Guanqing Hu, James J. Clark
http://arxiv.org/abs/1904.05457v1
• [cs.CV]Learning Single Camera Depth Estimation using Dual-Pixels
Rahul Garg, Neal Wadhwa, Sameer Ansari, Jonathan T. Barron
http://arxiv.org/abs/1904.05822v1
• [cs.CV]Learning joint reconstruction of hands and manipulated objects
Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid
http://arxiv.org/abs/1904.05767v1
• [cs.CV]Learning to Generate Synthetic Data via Compositing
Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
http://arxiv.org/abs/1904.05475v1
• [cs.CV]MAIN: Multi-Attention Instance Network for Video Segmentation
Juan Leon Alcazar, Maria A. Bravo, Ali K. Thabet, Guillaume Jeanneret, Thomas Brox, Pablo Arbelaez, Bernard Ghanem
http://arxiv.org/abs/1904.05847v1
• [cs.CV]Pixel-Adaptive Convolutional Neural Networks
Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz
http://arxiv.org/abs/1904.05373v1
• [cs.CV]Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation
Cliceres dal Bianco, Soraia Raupp Musse
http://arxiv.org/abs/1904.05448v1
• [cs.CV]Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning
Boris Babenko, Siva Balasubramanian, Katy E. Blumer, Greg S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan
http://arxiv.org/abs/1904.05478v1
• [cs.CV]Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope
Tolga Birdal, Umut Şimşekli
http://arxiv.org/abs/1904.05814v1
• [cs.CV]Reasoning Visual Dialogs with Structural and Partial Observations
Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu
http://arxiv.org/abs/1904.05548v1
• [cs.CV]Reconstructing Network Inputs with Additive Perturbation Signatures
Nick Moran, Chiraag Juvekar
http://arxiv.org/abs/1904.05712v1
• [cs.CV]Recurrent Space-time Graphs for Video Understanding
Andrei Nicolicioiu, Iulia Duta, Marius Leordeanu
http://arxiv.org/abs/1904.05582v1
• [cs.CV]Reducing Lateral Visual Biases in Displays
Inbar Huberman, Raanan Fattal
http://arxiv.org/abs/1904.05614v1
• [cs.CV]Retinal Vessels Segmentation Based on Dilated Multi-Scale Convolutional Neural Network
Yun Jiang, Ning Tan, Tingting Peng, Hai Zhang
http://arxiv.org/abs/1904.05644v1
• [cs.CV]Sliced Wasserstein Generative Models
Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool
http://arxiv.org/abs/1904.05408v1
• [cs.CV]Software Based Higher Order Structural Foot Abnormality Detection Using Image Processing
Arnesh Sen, Kaustav Sen, Jayoti Das
http://arxiv.org/abs/1904.05651v1
• [cs.CV]Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
Shuai Liao, Efstratios Gavves, Cees G. M. Snoek
http://arxiv.org/abs/1904.05404v1
• [cs.CV]Two Body Problem: Collaborative Visual Task Completion
Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
http://arxiv.org/abs/1904.05879v1
• [cs.CV]Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma
http://arxiv.org/abs/1904.05521v1
• [cs.CV]Variational Information Distillation for Knowledge Transfer
Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai
http://arxiv.org/abs/1904.05835v1
• [cs.CV]Weakly-Supervised White and Grey Matter Segmentation in 3D Brain Ultrasound
Beatrice Demiray, Julia Rackerseder, Stevica Bozhinoski, Nassir Navab
http://arxiv.org/abs/1904.05191v2
• [cs.CV]YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan
http://arxiv.org/abs/1904.05673v1
• [cs.CY]Dungeons for Science: Mapping Belief Places and Spaces
Aaron Dant, Philip Feldman, Wayne Lutters
http://arxiv.org/abs/1904.05216v2
• [cs.CY]Leveraging Distributed Ledger Technologies and Blockchain to Combat Fake News
Paula Fraga-Lamas, Tiago M. Fernández-Caramés
http://arxiv.org/abs/1904.05386v1
• [cs.CY]Political Discussions in Homogeneous and Cross-Cutting Communication Spaces
Jisun An, Haewoon Kwak, Oliver Posegga, Andreas Jungherr
http://arxiv.org/abs/1904.05643v1
• [cs.CY]The Role of Big Data Analytics in Industrial Internet of Things
Muhammad Habib ur Rehman, Ibrar Yaqoob, Khaled Salah, Muhammad Imran, Prem Prakash Jayaraman, Charith Perera
http://arxiv.org/abs/1904.05556v1
• [cs.DC]Energy-Efficient High-Throughput Data Transfers via Dynamic CPU Frequency and Core Scaling
Luigi Di Tacchio, Zulkar Nine, Tevfik Kosar, Fatih M. Bulut, Jinho Hwang
http://arxiv.org/abs/1904.05867v1
• [cs.DC]FECBench: A Holistic Interference-aware Approach for Application Performance Modeling
Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale
http://arxiv.org/abs/1904.05833v1
• [cs.DC]Locality of not-so-weak coloring
Alkida Balliu, Juho Hirvonen, Christoph Lenzen, Dennis Olivetti, Jukka Suomela
http://arxiv.org/abs/1904.05627v1
• [cs.DC]Modular programming of computing media using spatial types, for artificial physics
Frederic Gruau
http://arxiv.org/abs/1904.05787v1
• [cs.DC]Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
Phu Lai, Qiang He, Mohamed Abdelrazek, Feifei Chen, John Hosking, John Grundy, Yun Yang
http://arxiv.org/abs/1904.05553v1
• [cs.DC]R-Storm: Resource-Aware Scheduling in Storm
Boyang Peng, Mohammad Hosseini, Zhihao Hong, Reza Farivar, Roy Campbell
http://arxiv.org/abs/1904.05456v1
• [cs.DC]Reducing Communication in Algebraic Multigrid with Multi-step Node Aware Communication
Amanda Bienz, Luke Olson, William Gropp
http://arxiv.org/abs/1904.05838v1
• [cs.DC]Timely-Throughput Optimal Coded Computing over Cloud Networks
Chien-Sheng Yang, Ramtin Pedarsani, A. Salman Avestimehr
http://arxiv.org/abs/1904.05522v1
• [cs.DS]Efficient Distributed Workload (Re-)Embedding
Monika Henzinger, Stefan Neumann, Stefan Schmid
http://arxiv.org/abs/1904.05474v1
• [cs.GT]The Convergence of Iterative Delegations in Liquid Democracy in a Social Network
Bruno Escoffier, Hugo Gilbert, Adèle Pass-Lanneau
http://arxiv.org/abs/1904.05775v1
• [cs.IR]Investigating Retrieval Method Selection with Axiomatic Features
Siddhant Arora, Andrew Yates
http://arxiv.org/abs/1904.05737v1
• [cs.IR]Searching Heterogeneous Personal Digital Traces
Daniela Vianna, Varvara Kalokyri, Alexander Borgida, Thu D. Nguyen, Amelie Marian
http://arxiv.org/abs/1904.05374v1
• [cs.IT]Centralized Coded Caching with User Cooperation
Jiahui Chen, Haoyu Yin, Xiaowen You, Yanlin Geng, Youlong Wu
http://arxiv.org/abs/1904.05487v1
• [cs.IT]Covariance Evolution for Spatially “Mt. Fuji” Coupled LDPC Codes
Yuta Nakahara, Toshiyasu Matsushima
http://arxiv.org/abs/1904.05396v1
• [cs.IT]On Code Design for Wireless Channels with Additive Radar Interference
Federico Brunero, Daniela Tuninetti, Natasha Devroye
http://arxiv.org/abs/1904.05484v1
• [cs.IT]On Error Decoding of Locally Repairable and Partial MDS Codes
Lukas Holzbaur, Sven Puchinger, Antonia Wachter-Zeh
http://arxiv.org/abs/1904.05623v1
• [cs.IT]On Fractional Decoding of Reed-Solomon Codes
Welington Santos
http://arxiv.org/abs/1904.05400v1
• [cs.IT]On Model Coding for Distributed Inference and Transmission in Mobile Edge Computing Systems
Jingjing Zhang, Osvaldo Simeone
http://arxiv.org/abs/1904.05591v1
• [cs.IT]On the 2-Adic Complexity of the Ding-Helleseth-Martinsen Binary Sequences
Lulu Zhang, Jun Zhang, Minghui Yang, Keqin Feng
http://arxiv.org/abs/1904.05499v1
• [cs.IT]Optimality in Quantum Data Compression using Dynamical Entropy
George Androulakis, Duncan Wright
http://arxiv.org/abs/1904.05402v1
• [cs.IT]Solving the large syndrome calculation problem in steganography
Suah Kim, Vasily Sachnev, Hyoung Joong Kim
http://arxiv.org/abs/1904.05625v1
• [cs.IT]The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications
Pablo Ramirez-Espinosa, Jules M. Moualeu, Daniel Benevides da Costa, F. Javier Lopez-Martinez
http://arxiv.org/abs/1904.05587v1
• [cs.LG]Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
Weinan E, Chao Ma, Lei Wu
http://arxiv.org/abs/1904.05263v2
• [cs.LG]Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael I. Jordan
http://arxiv.org/abs/1904.05801v1
• [cs.LG]Deep Learning for System Trace Restoration
Ilia Sucholutsky, Apurva Narayan, Matthias Schonlau, Sebastian Fischmeister
http://arxiv.org/abs/1904.05411v1
• [cs.LG]Deep Neural Network Ensembles
Sean Tao
http://arxiv.org/abs/1904.05488v1
• [cs.LG]Enhancing Decision Tree based Interpretation of Deep Neural Networks through L1-Orthogonal Regularization
Nina Schaaf, Marco F. Huber
http://arxiv.org/abs/1904.05394v1
• [cs.LG]FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
http://arxiv.org/abs/1904.05419v1
• [cs.LG]KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction
Karl Pertsch, Oleh Rybkin, Jingyun Yang, Kosta Derpanis, Joseph Lim, Kostas Daniilidis, Andrew Jaegle
http://arxiv.org/abs/1904.05869v1
• [cs.LG]Knowledge Flow: Improve Upon Your Teachers
Iou-Jen Liu, Jian Peng, Alexander G. Schwing
http://arxiv.org/abs/1904.05878v1
• [cs.LG]Learning Trajectory Prediction with Continuous Inverse Optimal Control via Langevin Sampling of Energy-Based Models
Yifei Xu, Tianyang Zhao, Chris Baker, Yibiao Zhao, Ying Nian Wu
http://arxiv.org/abs/1904.05453v1
• [cs.LG]Max-Sliced Wasserstein Distance and its use for GANs
Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing
http://arxiv.org/abs/1904.05877v1
• [cs.LG]Membership Inference Attacks on Sequence-to-Sequence Models
Sorami Hisamoto, Matt Post, Kevin Duh
http://arxiv.org/abs/1904.05506v1
• [cs.LG]Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
Proteek Chandan Roy, Vishnu Naresh Boddeti
http://arxiv.org/abs/1904.05514v1
• [cs.LG]Modified online Newton step based on element wise multiplication
Charnjeet Singh, Anuj Sharma
http://arxiv.org/abs/1904.05633v1
• [cs.LG]MxML: Mixture of Meta-Learners for Few-Shot Classification
Minseop Park, Jungtaek Kim, Saehoon Kim, Yanbin Liu, Seungjin Choi
http://arxiv.org/abs/1904.05658v1
• [cs.LG]One-shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization
Ju-chieh Chou, Cheng-chieh Yeh, Hung-yi Lee
http://arxiv.org/abs/1904.05742v1
• [cs.LG]Recurrent Event Network for Reasoning over Temporal Knowledge Graphs
Woojeong Jin, Changlin Zhang, Pedro Szekely, Xiang Ren
http://arxiv.org/abs/1904.05530v1
• [cs.LG]ReinBo: Machine Learning pipeline search and configuration with Bayesian Optimization embedded Reinforcement Learning
Xudong Sun, Jiali Lin, Bernd Bischl
http://arxiv.org/abs/1904.05381v1
• [cs.LG]Relational Graph Attention Networks
Dan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Y. Hammerla
http://arxiv.org/abs/1904.05811v1
• [cs.LG]Restricted Isometry Property under High Correlations
Shiva Prasad Kasiviswanathan, Mark Rudelson
http://arxiv.org/abs/1904.05510v1
• [cs.LG]Safer Deep RL with Shallow MCTS: A Case Study in Pommerman
Bilal Kartal, Pablo Hernandez-Leal, Chao Gao, Matthew E. Taylor
http://arxiv.org/abs/1904.05759v1
• [cs.LG]Scalarizing Functions in Bayesian Multiobjective Optimization
Tinkle Chugh
http://arxiv.org/abs/1904.05760v1
• [cs.LG]Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
Leah Bar, Nir Sochen
http://arxiv.org/abs/1904.05417v1
• [cs.LG]Using Weight Mirrors to Improve Feedback Alignment
Mohamed Akrout, Collin Wilson, Peter C. Humphreys, Timothy Lillicrap, Douglas Tweed
http://arxiv.org/abs/1904.05391v1
• [cs.NE]GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard
http://arxiv.org/abs/1904.05815v1
• [cs.NE]Multiplicative Up-Drift
Benjamin Doerr, Timo Kötzing
http://arxiv.org/abs/1904.05682v1
• [cs.NE]Short note on the behavior of recurrent neural network for noisy dynamical system
Kyongmin Yeo
http://arxiv.org/abs/1904.05158v1
• [cs.RO]Autonomous Robot Navigation with Rich Information Mapping in Nuclear Storage Environments
Maozhen Wang, Xianchao Long, Peng Chang, Taskin Padir
http://arxiv.org/abs/1904.05796v1
• [cs.RO]Efficient LiDAR data compression for embedded V2I or V2V data handling
Paul Caillet, Yohan Dupuis
http://arxiv.org/abs/1904.05649v1
• [cs.RO]Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
Annie Xie, Frederik Ebert, Sergey Levine, Chelsea Finn
http://arxiv.org/abs/1904.05538v1
• [cs.RO]Learning to Take Good Pictures of People with a Robot Photographer
Rhys Newbury, Akansel Cosgun, Mehmet Koseoglu, Tom Drummond
http://arxiv.org/abs/1904.05688v1
• [cs.RO]Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Design
Shreyas Kousik, Patrick Holmes, Ramanarayan Vasudevan
http://arxiv.org/abs/1904.05728v1
• [cs.RO]ViTa-SLAM: Biologically-Inspired Visuo-Tactile SLAM
Oliver Struckmeier, Kshitij Tiwari, Martin J. Pearson, Ville Kyrki
http://arxiv.org/abs/1904.05667v1
• [cs.SD]STC Antispoofing Systems for the ASVspoof2019 Challenge
Galina Lavrentyeva, Sergey Novoselov, Andzhukaev Tseren, Marina Volkova, Artem Gorlanov, Alexandr Kozlov
http://arxiv.org/abs/1904.05576v1
• [cs.SI]Percolation Threshold for Competitive Influence in Random Networks
Yu-Hsien Peng, Ping-En Lu, Cheng-Shang Chang, Duan-Shin Lee
http://arxiv.org/abs/1904.05754v1
• [cs.SY]Game-Theoretic Modeling of Multi-Vehicle Interactions at Uncontrolled Intersections
Nan Li, Yu Yao, Ilya Kolmanovsky, Ella Atkins, Anouck Girard
http://arxiv.org/abs/1904.05423v1
• [eess.AS]RawNet: Fast End-to-End Neural Vocoder
Yunchao He, Haitong Zhang, Yujun Wang
http://arxiv.org/abs/1904.05351v1
• [eess.IV]CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography
Chongsheng Cheng, Zhexiong Shang, Zhigang Shen
http://arxiv.org/abs/1904.05509v1
• [eess.IV]Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
Kamran Kowsari, Rasoul Sali, Marium N. Khan, William Adorno, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown
http://arxiv.org/abs/1904.05773v1
• [eess.SP]Adaptive Virtual Waveform Design for Millimeter-Wave Joint Communication-Radar
Preeti Kumari, Sergiy A. Vorobyov, Robert W. Heath Jr
http://arxiv.org/abs/1904.05516v1
• [math.NA]A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations
Chinmay Hegde, Fritz Keinert, Eric S. Weber
http://arxiv.org/abs/1904.05732v1
• [math.OC]Connections Between Adaptive Control and Optimization in Machine Learning
Joseph E. Gaudio, Travis E. Gibson, Anuradha M. Annaswamy, Michael A. Bolender, Eugene Lavretsky
http://arxiv.org/abs/1904.05856v1
• [math.OC]Constructing Clustering Transformations
Steffen Borgwardt, Charles Viss
http://arxiv.org/abs/1904.05406v1
• [math.OC]Deep learning as optimal control problems: models and numerical methods
Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb
http://arxiv.org/abs/1904.05657v1
• [math.OC]Least Squares Auto-Tuning
Shane Barratt, Stephen Boyd
http://arxiv.org/abs/1904.05460v1
• [math.ST]Comparing a Large Number of Multivariate Distributions
Ilmun Kim
http://arxiv.org/abs/1904.05741v1
• [math.ST]Efficient Entropy Estimation for Stationary Time Series
Alexander L Young, David B Dunson
http://arxiv.org/abs/1904.05850v1
• [physics.soc-ph]Relational flexibility of network elements based on inconsistent community detection
Heetae Kim, Sang Hoon Lee
http://arxiv.org/abs/1904.05523v1
• [physics.soc-ph]Social structure formation in a network of agents playing a hybrid of ultimatum and dictator games
Jan E. Snellman, János Kertész, Rafael Barrio, Kimmo Kaski
http://arxiv.org/abs/1904.05601v1
• [q-bio.QM]Scanner Invariant Representations for Diffusion MRI Harmonization
Daniel Moyer, Greg Ver Steeg, Chantal M. W. Tax, Paul M. Thompson
http://arxiv.org/abs/1904.05375v1
• [q-fin.ST]Feature Engineering for Mid-Price Prediction Forecasting with Deep Learning
Adamantios Ntakaris, Giorgio Mirone, Juho Kanniainen, Moncef Gabbouj, Alexandros Iosifidis
http://arxiv.org/abs/1904.05384v1
• [stat.ME]FATSO: A family of operators for variable selection in linear models
Nicolás E. Kuschinski, J. Andrés Christen
http://arxiv.org/abs/1904.05828v1
• [stat.ME]Practical Valid Inferences for the Two-Sample Binomial Problem
Michael P. Fay, Sally A. Hunsberger
http://arxiv.org/abs/1904.05416v1
• [stat.ME]Robust Principal Component Analysis for Compositional Tables
Julie Rendlová, Karel Hron, Kamila Fačevicová, Peter Filzmoser
http://arxiv.org/abs/1904.05636v1
• [stat.ML]A Selective Overview of Deep Learning
Jianqing Fan, Cong Ma, Yiqiao Zhong
http://arxiv.org/abs/1904.05526v1
• [stat.ML]A machine learning approach for underwater gas leakage detection
Paulo Hubert, Linilson Padovese
http://arxiv.org/abs/1904.05661v1
• [stat.ML]Autoregressive Energy Machines
Charlie Nash, Conor Durkan
http://arxiv.org/abs/1904.05626v1
• [stat.ML]Compressed sensing reconstruction using Expectation Propagation
Alfredo Braunstein, Anna Paola Muntoni, Andrea Pagnani, Mirko Pieropan
http://arxiv.org/abs/1904.05777v1
• [stat.ML]The Weight Function in the Subtree Kernel is Decisive
Romain Azaïs, Florian Ingels
http://arxiv.org/abs/1904.05421v1