cond-mat.dis-nn - 无序系统与神经网络
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.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.SP - 信号处理 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.geo-ph - 地球物理学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Generalized Approximate Survey Propagation for High-Dimensional Estimation
• [cs.AI]Explaining intuitive difficulty judgments by modeling physical effort and risk
• [cs.AI]Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice
• [cs.AI]Towards a Quantum-Like Cognitive Architecture for Decision-Making
• [cs.CL]A Dynamic Evolutionary Framework for Timeline Generation based on Distributed Representations
• [cs.CL]A Survey of Multilingual Neural Machine Translation
• [cs.CL]A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
• [cs.CL]Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting
• [cs.CL]Atom Responding Machine for Dialog Generation
• [cs.CL]Challenges in Building Intelligent Open-domain Dialog Systems
• [cs.CL]Cognitive Graph for Multi-Hop Reading Comprehension at Scale
• [cs.CL]Deep Residual Output Layers for Neural Language Generation
• [cs.CL]Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
• [cs.CL]Entity-Relation Extraction as Multi-Turn Question Answering
• [cs.CL]How to Fine-Tune BERT for Text Classification?
• [cs.CL]Improving Neural Conversational Models with Entropy-Based Data Filtering
• [cs.CL]Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
• [cs.CL]Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
• [cs.CL]Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
• [cs.CL]On the number of k-skip-n-grams
• [cs.CL]Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation
• [cs.CL]Sparse Sequence-to-Sequence Models
• [cs.CL]Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
• [cs.CL]The Language of Legal and Illegal Activity on the Darknet
• [cs.CL]The relational processing limits of classic and contemporary neural network models of language processing
• [cs.CL]Towards Content Transfer through Grounded Text Generation
• [cs.CL]Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with BERT-CRF Model
• [cs.CL]Using syntactical and logical forms to evaluate textual inference competence
• [cs.CR]Encrypted Speech Recognition using Deep Polynomial Networks
• [cs.CR]Robust Node ID Assignment for Mobile P2P Networks
• [cs.CV]A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
• [cs.CV]A human-inspired recognition system for premodern Japanese historical documents
• [cs.CV]Adaptive Composition GAN towards Realistic Image Synthesis
• [cs.CV]American Sign Language Alphabet Recognition using Deep Learning
• [cs.CV]An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
• [cs.CV]An Improved Self-supervised GAN via Adversarial Training
• [cs.CV]Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds
• [cs.CV]Deep Neural Networks for Marine Debris Detection in Sonar Images
• [cs.CV]Disparity-Augmented Trajectories for Human Activity Recognition
• [cs.CV]Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
• [cs.CV]Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation
• [cs.CV]Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images
• [cs.CV]End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting
• [cs.CV]Expression Conditional GAN for Facial Expression-to-Expression Translation
• [cs.CV]FPGA-based Binocular Image Feature Extraction and Matching System
• [cs.CV]Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)
• [cs.CV]LSANet: Feature Learning on Point Sets by Local Spatial Attention
• [cs.CV]Learnable Triangulation of Human Pose
• [cs.CV]Learning 3D Human Body Embedding
• [cs.CV]Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning
• [cs.CV]Listwise View Ranking for Image Cropping
• [cs.CV]Monocular 3D Object Detection via Geometric Reasoning on Keypoints
• [cs.CV]Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors
• [cs.CV]Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
• [cs.CV]Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
• [cs.CV]Robustness Analysis of Face Obscuration
• [cs.CV]The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
• [cs.CV]Transition Subspace Learning based Least Squares Regression for Image Classification
• [cs.CV]Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis
• [cs.CY]Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis — A Case Study of Smart Card Data
• [cs.CY]LikeStarter: a Smart-contract based Social DAO for Crowdfunding
• [cs.CY]Women Want to Learn Tech: Lessons from the Czechitas Education Project
• [cs.DB]Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs
• [cs.DC]Fully Integrated On-FPGA Molecular Dynamics Simulations
• [cs.DC]Parallel and Memory-limited Algorithms for Optimal Task Scheduling Using a Duplicate-Free State-Space
• [cs.DS]Dimensionality Reduction for Tukey Regression
• [cs.DS]List-Decodable Linear Regression
• [cs.DS]Optimal Multithreaded Batch-Parallel 2-3 Trees
• [cs.GT]Crowdsourcing Data Acquisition via Social Networks
• [cs.GT]Fixed-price Diffusion Mechanism Design
• [cs.HC]”Tom” pet robot applied to urban autism
• [cs.HC]Smartwatch games: Encouraging privacy-protective behaviour in a longitudinal study
• [cs.HC]VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
• [cs.HC]When Do People Trust Their Social Groups?
• [cs.IR]BERT with History Answer Embedding for Conversational Question Answering
• [cs.IT]Coded Distributed Tracking
• [cs.IT]Comparison-limited Vector Quantization
• [cs.IT]D2D Assisted Beamforming for Coded Caching
• [cs.IT]Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks
• [cs.IT]Hessian transport gradient flows
• [cs.IT]Learning for Matching Game in Cooperative D2D Communication with Incomplete Information
• [cs.IT]Low Complexity Algorithms for Robust Multigroup Multicast Beamforming
• [cs.IT]RLS-Based Detection for Massive Spatial Modulation MIMO
• [cs.IT]Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning
• [cs.IT]Transtemporal edges and crosslayer edges in incompressible high-order networks
• [cs.IT]UAV Swarm-Enabled Aerial CoMP: A Physical Layer Security Perspective
• [cs.LG]A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction
• [cs.LG]A Distributed Approach towards Discriminative Distance Metric Learning
• [cs.LG]A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment
• [cs.LG]A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization
• [cs.LG]ActiveHNE: Active Heterogeneous Network Embedding
• [cs.LG]Adaptive Robust Optimization with Nearly Submodular Structure
• [cs.LG]Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization
• [cs.LG]Can NetGAN be improved by short random walks originated from dense vertices?
• [cs.LG]Consequential Ranking Algorithms and Long-term Welfare
• [cs.LG]Control Regularization for Reduced Variance Reinforcement Learning
• [cs.LG]Correlated Variational Auto-Encoders
• [cs.LG]DeepFlow: History Matching in the Space of Deep Generative Models
• [cs.LG]Efficient Computation of Hessian Matrices in TensorFlow
• [cs.LG]Evaluation Metrics for Unsupervised Learning Algorithms
• [cs.LG]Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops
• [cs.LG]Graph Attribute Aggregation Network with Progressive Margin Folding
• [cs.LG]Graph Convolutional Gaussian Processes
• [cs.LG]Graph U-Nets
• [cs.LG]Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
• [cs.LG]Hierarchically Structured Meta-learning
• [cs.LG]Imputing Missing Events in Continuous-Time Event Streams
• [cs.LG]Learning Generative Models across Incomparable Spaces
• [cs.LG]Learning Novel Policies For Tasks
• [cs.LG]Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning
• [cs.LG]Machine Learning at Microsoft with ML .NET
• [cs.LG]Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
• [cs.LG]Moment-Based Variational Inference for Markov Jump Processes
• [cs.LG]Multilingual Factor Analysis
• [cs.LG]NGO-GM: Natural Gradient Optimization for Graphical Models
• [cs.LG]Network Pruning for Low-Rank Binary Indexing
• [cs.LG]QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
• [cs.LG]Revisiting Precision and Recall Definition for Generative Model Evaluation
• [cs.LG]Robustification of deep net classifiers by key based diversified aggregation with pre-filtering
• [cs.LG]Spectral Approximate Inference
• [cs.LG]Stochastic Blockmodels meet Graph Neural Networks
• [cs.LG]Successor Options: An Option Discovery Framework for Reinforcement Learning
• [cs.LG]Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
• [cs.LG]TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture
• [cs.LG]Trajectory-Based Off-Policy Deep Reinforcement Learning
• [cs.LG]Winograd Convolution for DNNs: Beyond linear polinomials
• [cs.LO]Quantitative Logic Reasoning
• [cs.MA]CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
• [cs.MM]Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder
• [cs.NE]Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift
• [cs.NE]Parallel genetic algorithm for planning safe and optimal route for ship
• [cs.NI]Learning-based Resource Optimization in Ultra Reliable Low Latency HetNets
• [cs.NI]Measuring and simulating latency in interactive remote rendering systems
• [cs.NI]Passport: Enabling Accurate Country-Level Router Geolocation using Inaccurate Sources
• [cs.PL]Learning Scalable and Precise Representation of Program Semantics
• [cs.RO]Comparing Alternate Modes of Teleoperation for Constrained Tasks
• [cs.RO]Deep Local Trajectory Replanning and Control for Robot Navigation
• [cs.RO]Efficient Algorithms for Optimal Perimeter Guarding
• [cs.RO]Fast Skill Learning for Variable Compliance Robotic Assembly
• [cs.RO]Human Visual Understanding for Cognition and Manipulation — A primer for the roboticist
• [cs.RO]Learning Robotic Manipulation through Visual Planning and Acting
• [cs.RO]Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing
• [cs.RO]Near-Optimal Path Planning for Complex Robotic Inspection Tasks
• [cs.RO]Randomized Adversarial Imitation Learning for Autonomous Driving
• [cs.RO]SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams
• [cs.RO]Scratchy: A Lightweight Modular Autonomous Robot for Robotic Competitions
• [cs.RO]Towards a Skeleton-Based Action Recognition For Realistic Scenarios
• [cs.SD]MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
• [cs.SD]Self-supervised Audio Spatialization with Correspondence Classifier
• [cs.SI]Friendship Paradox Biases Perceptions in Directed Networks
• [eess.SP]A Novel Beamformed Control Channel Design for LTE with Full Dimension-MIMO
• [eess.SP]Low Noise Non-Linear Equalization Using Neural Networks and Belief Propagation
• [eess.SP]RF Chain Reduction for MIMO Systems: A Hardware Prototype
• [eess.SP]RLS Precoding for Massive MIMO Systems with Nonlinear Front-End
• [eess.SP]Sample Efficient Toeplitz Covariance Estimation
• [eess.SP]Study of Channel Estimation with Oversampling for 1-bit Large-Scale MIMO Systems
• [eess.SP]Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption
• [math.OC]Convolutional neural networks with fractional order gradient method
• [math.PR]Approximation of Optimal Transport problems with marginal moments constraints
• [math.ST]Multivariate Ranks and Quantiles using Optimal Transportation and Applications to Goodness-of-fit Testing
• [physics.comp-ph]Overcoming Limitations of GPGPU-Computing in Scientific Applications
• [physics.geo-ph]Seismic Bayesian evidential learning: Estimation and uncertainty quantification of sub-resolution reservoir properties
• [quant-ph]Programming multi-level quantum gates in disordered computing reservoirs via machine learning
• [stat.AP]Confirmatory Factor Analysis — A Case study
• [stat.AP]Experimental Evaluation of Individualized Treatment Rules
• [stat.ME]Estimating Bayes factors from minimal ANOVA summaries for repeated-measures designs
• [stat.ME]Hierarchical approaches for flexible and interpretable binary regression models
• [stat.ME]Multiple imputation using dimension reduction techniques for high-dimensional data
• [stat.ME]Prediction and outlier detection: a distribution-free prediction set with a balanced objective
• [stat.ME]Scaling Bayesian Probabilistic Record Linkage with Post-Hoc Blocking: An Application to the California Great Registers
• [stat.ML]A self-organising eigenspace map for time series clustering
• [stat.ML]Adaptive surrogate models for parametric studies
• [stat.ML]Convolutional Poisson Gamma Belief Network
• [stat.ML]Deep Gaussian Processes with Importance-Weighted Variational Inference
• [stat.ML]Learning Hierarchical Priors in VAEs
• [stat.ML]Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates
• [stat.ML]Variational approximations using Fisher divergence
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• [cond-mat.dis-nn]Generalized Approximate Survey Propagation for High-Dimensional Estimation
Luca Saglietti, Yue M. Lu, Carlo Lucibello
http://arxiv.org/abs/1905.05313v1
• [cs.AI]Explaining intuitive difficulty judgments by modeling physical effort and risk
Ilker Yildirim, Basil Saeed, Grace Bennett-Pierre, Tobias Gerstenberg, Joshua Tenenbaum, Hyowon Gweon
http://arxiv.org/abs/1905.04445v2
• [cs.AI]Timeline-based Planning and Execution with Uncertainty: Theory, Modeling Methodologies and Practice
Alessandro Umbrico
http://arxiv.org/abs/1905.05713v1
• [cs.AI]Towards a Quantum-Like Cognitive Architecture for Decision-Making
Catarina Moreira, Lauren Fell, Shahram Dehdashti, Peter Bruza, Andreas Wichert
http://arxiv.org/abs/1905.05176v1
• [cs.CL]A Dynamic Evolutionary Framework for Timeline Generation based on Distributed Representations
Dongyun Liang, Guohua Wang, Jing Nie
http://arxiv.org/abs/1905.05550v1
• [cs.CL]A Survey of Multilingual Neural Machine Translation
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
http://arxiv.org/abs/1905.05395v1
• [cs.CL]A Unified Linear-Time Framework for Sentence-Level Discourse Parsing
Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, Saiful Bari
http://arxiv.org/abs/1905.05682v1
• [cs.CL]Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting
Maria Becker, Michael Staniek, Vivi Nastase, Anette Frank
http://arxiv.org/abs/1905.05538v1
• [cs.CL]Atom Responding Machine for Dialog Generation
Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He
http://arxiv.org/abs/1905.05532v1
• [cs.CL]Challenges in Building Intelligent Open-domain Dialog Systems
Minlie Huang, Xiaoyan Zhu, Jianfeng Gao
http://arxiv.org/abs/1905.05709v1
• [cs.CL]Cognitive Graph for Multi-Hop Reading Comprehension at Scale
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang
http://arxiv.org/abs/1905.05460v1
• [cs.CL]Deep Residual Output Layers for Neural Language Generation
Nikolaos Pappas, James Henderson
http://arxiv.org/abs/1905.05513v1
• [cs.CL]Effective Cross-lingual Transfer of Neural Machine Translation Models without Shared Vocabularies
Yunsu Kim, Yingbo Gao, Hermann Ney
http://arxiv.org/abs/1905.05475v1
• [cs.CL]Entity-Relation Extraction as Multi-Turn Question Answering
Xiaoya Li, Fan Yin, Zijun Sun, Xiayu Li, Arianna Yuan, Duo Chai, Mingxin Zhou, Jiwei Li
http://arxiv.org/abs/1905.05529v1
• [cs.CL]How to Fine-Tune BERT for Text Classification?
Chi Sun, Xipeng Qiu, Yige Xu, Xuanjing Huang
http://arxiv.org/abs/1905.05583v1
• [cs.CL]Improving Neural Conversational Models with Entropy-Based Data Filtering
Richard Csaky, Patrik Purgai, Gabor Recski
http://arxiv.org/abs/1905.05471v1
• [cs.CL]Is Word Segmentation Necessary for Deep Learning of Chinese Representations?
Yuxian Meng, Xiaoya Li, Xiaofei Sun, Qinghong Han, Arianna Yuan, Jiwei Li
http://arxiv.org/abs/1905.05526v1
• [cs.CL]Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems
Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings
http://arxiv.org/abs/1905.05644v1
• [cs.CL]Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
http://arxiv.org/abs/1905.05733v1
• [cs.CL]On the number of k-skip-n-grams
Dmytro Krasnoshtan
http://arxiv.org/abs/1905.05407v1
• [cs.CL]Sense Vocabulary Compression through the Semantic Knowledge of WordNet for Neural Word Sense Disambiguation
Loïc Vial, Benjamin Lecouteux, Didier Schwab
http://arxiv.org/abs/1905.05677v1
• [cs.CL]Sparse Sequence-to-Sequence Models
Ben Peters, Vlad Niculae, André F. T. Martins
http://arxiv.org/abs/1905.05702v1
• [cs.CL]Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation
Ning Dai, Jianze Liang, Xipeng Qiu, Xuanjing Huang
http://arxiv.org/abs/1905.05621v1
• [cs.CL]The Language of Legal and Illegal Activity on the Darknet
Leshem Choshen, Dan Eldad, Daniel Hershcovich, Elior Sulem, Omri Abend
http://arxiv.org/abs/1905.05543v1
• [cs.CL]The relational processing limits of classic and contemporary neural network models of language processing
Guillermo Puebla, Andrea E. Martin, Leonidas A. A. Doumas
http://arxiv.org/abs/1905.05708v1
• [cs.CL]Towards Content Transfer through Grounded Text Generation
Shrimai Prabhumoye, Chris Quirk, Michel Galley
http://arxiv.org/abs/1905.05293v1
• [cs.CL]Transfer Learning for Scientific Data Chain Extraction in Small Chemical Corpus with BERT-CRF Model
Na Pang, Li Qian, Weimin Lyu, Jin-Dong Yang
http://arxiv.org/abs/1905.05615v1
• [cs.CL]Using syntactical and logical forms to evaluate textual inference competence
Felipe Salvatore, Marcelo Finger, Roberto Hirata Jr
http://arxiv.org/abs/1905.05704v1
• [cs.CR]Encrypted Speech Recognition using Deep Polynomial Networks
Shi-Xiong Zhang, Yifan Gong, Dong Yu
http://arxiv.org/abs/1905.05605v1
• [cs.CR]Robust Node ID Assignment for Mobile P2P Networks
Sumit Kumar Tetarave, Somanath Tripathy
http://arxiv.org/abs/1905.05388v1
• [cs.CV]A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Dongdong Yu, Kai Su, Xin Geng, Changhu Wang
http://arxiv.org/abs/1905.05355v1
• [cs.CV]A human-inspired recognition system for premodern Japanese historical documents
Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto
http://arxiv.org/abs/1905.05377v1
• [cs.CV]Adaptive Composition GAN towards Realistic Image Synthesis
Fangneng Zhan, Jiaxing Huang, Shijian Lu
http://arxiv.org/abs/1905.04693v2
• [cs.CV]American Sign Language Alphabet Recognition using Deep Learning
Nikhil Kasukurthi, Brij Rokad, Shiv Bidani, Dr. Aju Dennisan
http://arxiv.org/abs/1905.05487v1
• [cs.CV]An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Yinglong Wang, Dong Gong, Jie Yang, Qinfeng Shi, Anton van den Hengel, Dehua Xie, Bing Zeng
http://arxiv.org/abs/1905.05404v1
• [cs.CV]An Improved Self-supervised GAN via Adversarial Training
Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Ngai-Man Cheung
http://arxiv.org/abs/1905.05469v1
• [cs.CV]Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds
Qi Chen, Sihai Tang, Qing Yang, Song Fu
http://arxiv.org/abs/1905.05265v1
• [cs.CV]Deep Neural Networks for Marine Debris Detection in Sonar Images
Matias Valdenegro-Toro
http://arxiv.org/abs/1905.05241v1
• [cs.CV]Disparity-Augmented Trajectories for Human Activity Recognition
Pejman Habashi, Boubakeur Boufama, Imran Shafiq Ahmad
http://arxiv.org/abs/1905.05344v1
• [cs.CV]Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim
http://arxiv.org/abs/1905.05396v1
• [cs.CV]Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation
Chuan-Xian Ren, Bo-Hua Liang, Zhen Lei
http://arxiv.org/abs/1905.05382v1
• [cs.CV]Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images
Ivan Krešo, Josip Krapac, Siniša Šegvić
http://arxiv.org/abs/1905.05661v1
• [cs.CV]End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting
Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa
http://arxiv.org/abs/1905.05381v1
• [cs.CV]Expression Conditional GAN for Facial Expression-to-Expression Translation
Hao Tang, Wei Wang, Songsong Wu, Xinya Chen, Dan Xu, Nicu Sebe, Yan Yan
http://arxiv.org/abs/1905.05416v1
• [cs.CV]FPGA-based Binocular Image Feature Extraction and Matching System
Qi Ni, Fei Wang, Ziwei Zhao, Peng Gao
http://arxiv.org/abs/1905.04890v2
• [cs.CV]Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)
Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran
http://arxiv.org/abs/1905.05373v1
• [cs.CV]LSANet: Feature Learning on Point Sets by Local Spatial Attention
Lin-Zhuo Chen, Xuan-Yi Li, Deng-Ping Fan, Ming-Ming Cheng, Kai Wang, Shao-Ping Lu
http://arxiv.org/abs/1905.05442v1
• [cs.CV]Learnable Triangulation of Human Pose
Karim Iskakov, Egor Burkov, Victor Lempitsky, Yury Malkov
http://arxiv.org/abs/1905.05754v1
• [cs.CV]Learning 3D Human Body Embedding
Boyi Jiang, Juyong Zhang, Jianfei Cai, Jianmin Zheng
http://arxiv.org/abs/1905.05622v1
• [cs.CV]Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning
Sara Elkerdawy, Hong Zhang, Nilanjan Ray
http://arxiv.org/abs/1905.05212v1
• [cs.CV]Listwise View Ranking for Image Cropping
Weirui Lu, Xiaofen Xing, Bolun Cai, Xiangmin Xu
http://arxiv.org/abs/1905.05352v1
• [cs.CV]Monocular 3D Object Detection via Geometric Reasoning on Keypoints
Ivan Barabanau, Alexey Artemov, Evgeny Burnaev, Vyacheslav Murashkin
http://arxiv.org/abs/1905.05618v1
• [cs.CV]Panoramic Annular Localizer: Tackling the Variation Challenges of Outdoor Localization Using Panoramic Annular Images and Active Deep Descriptors
Ruiqi Cheng, Kaiwei Wang, Shufei Lin, Weijian Hu, Kailun Yang, Xiao Huang, Huabing Li, Dongming Sun, Jian Bai
http://arxiv.org/abs/1905.05425v1
• [cs.CV]Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Ernest K. Ryu, Jialin Liu, Sicheng Wang, Xiaohan Chen, Zhangyang Wang, Wotao Yin
http://arxiv.org/abs/1905.05406v1
• [cs.CV]Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
Daniel Ho, Eric Liang, Ion Stoica, Pieter Abbeel, Xi Chen
http://arxiv.org/abs/1905.05393v1
• [cs.CV]Robustness Analysis of Face Obscuration
Hanxiang Hao, David Güera, Amy R. Reibman, Edward J. Delp
http://arxiv.org/abs/1905.05243v1
• [cs.CV]The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence
Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva
http://arxiv.org/abs/1905.05675v1
• [cs.CV]Transition Subspace Learning based Least Squares Regression for Image Classification
Zhe Chen, Xiao-Jun Wu, Josef Kittler
http://arxiv.org/abs/1905.05445v1
• [cs.CV]Understanding Pedestrian-Vehicle Interactions with Vehicle Mounted Vision: An LSTM Model and Empirical Analysis
Daniela A. Ridel, Nachiket Deo, Denis Wolf, Mohan M. Trivedi
http://arxiv.org/abs/1905.05350v1
• [cs.CY]Estimating Socioeconomic Status via Temporal-Spatial Mobility Analysis — A Case Study of Smart Card Data
Shichang Ding, Hong Huang, Tao Zhao, Xiaoming Fu
http://arxiv.org/abs/1905.05437v1
• [cs.CY]LikeStarter: a Smart-contract based Social DAO for Crowdfunding
Mirko Zichichi, Michele Contu, Stefano Ferretti, Gabriele D’Angelo
http://arxiv.org/abs/1905.05560v1
• [cs.CY]Women Want to Learn Tech: Lessons from the Czechitas Education Project
Barbora Buhnova, Dita Prikrylova
http://arxiv.org/abs/1905.05518v1
• [cs.DB]Query Processing on Large Graphs: Approaches To Scalability and Response Time Trade Offs
Soumyava Das, Abhishek Santra, Jay Bodra, Sharma Chakravarthy
http://arxiv.org/abs/1905.05384v1
• [cs.DC]Fully Integrated On-FPGA Molecular Dynamics Simulations
Chen Yang, Tong Geng, Tianqi Wang, Rushi Patel, Qingqing Xiong, Ahmed Sanaullah, Jiayi Sheng, Charles Lin, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt
http://arxiv.org/abs/1905.05359v1
• [cs.DC]Parallel and Memory-limited Algorithms for Optimal Task Scheduling Using a Duplicate-Free State-Space
Michael Orr, Oliver Sinnen
http://arxiv.org/abs/1905.05568v1
• [cs.DS]Dimensionality Reduction for Tukey Regression
Kenneth L. Clarkson, Ruosong Wang, David P. Woodruff
http://arxiv.org/abs/1905.05376v1
• [cs.DS]List-Decodable Linear Regression
Sushrut Karmalkar, Pravesh Kothari, Adam Klivans
http://arxiv.org/abs/1905.05679v1
• [cs.DS]Optimal Multithreaded Batch-Parallel 2-3 Trees
Wei Quan Lim
http://arxiv.org/abs/1905.05254v1
• [cs.GT]Crowdsourcing Data Acquisition via Social Networks
Wen Zhang, Yao Zhang, Dengji Zhao
http://arxiv.org/abs/1905.05481v1
• [cs.GT]Fixed-price Diffusion Mechanism Design
Tianyi Zhang, Dengji Zhao, Wen Zhang, Xuming He
http://arxiv.org/abs/1905.05450v1
• [cs.HC]“Tom” pet robot applied to urban autism
Xingqian Li, Chenwei Lou, Jian Zhao, HuaPeng Wei, Hongwei Zhao
http://arxiv.org/abs/1905.05652v1
• [cs.HC]Smartwatch games: Encouraging privacy-protective behaviour in a longitudinal study
Meredydd Williams, Jason R. C. Nurse, Sadie Creese
http://arxiv.org/abs/1905.05222v1
• [cs.HC]VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Kevin Hu, Neil Gaikwad, Michiel Bakker, Madelon Hulsebos, Emanuel Zgraggen, César Hidalgo, Tim Kraska, Guoliang Li, Arvind Satyanarayan, Çağatay Demiralp
http://arxiv.org/abs/1905.04616v1
• [cs.HC]When Do People Trust Their Social Groups?
Xiao Ma, Justin Cheng, Shankar Iyer, Mor Naaman
http://arxiv.org/abs/1905.05270v1
• [cs.IR]BERT with History Answer Embedding for Conversational Question Answering
Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer
http://arxiv.org/abs/1905.05412v1
• [cs.IT]Coded Distributed Tracking
Albin Severinson, Eirik Rosnes, Alexandre Graell i Amat
http://arxiv.org/abs/1905.05574v1
• [cs.IT]Comparison-limited Vector Quantization
Stefano Rini, Joseph Chataignon
http://arxiv.org/abs/1905.05401v1
• [cs.IT]D2D Assisted Beamforming for Coded Caching
Hamidreza Bakhshzad Mahmoodi, Jarkko Kaleva, Seyed Pooya Shariatpanahi, Babak Khalaj, Antti Tölli
http://arxiv.org/abs/1905.05446v1
• [cs.IT]Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks
Chen Zhong, M. Cenk Gursoy, Senem Velipasalar
http://arxiv.org/abs/1905.05256v1
• [cs.IT]Hessian transport gradient flows
Wuchen Li, Lexing Ying
http://arxiv.org/abs/1905.04556v2
• [cs.IT]Learning for Matching Game in Cooperative D2D Communication with Incomplete Information
Yiling Yuan, Tao Yang, Hui Feng, Bo Hu
http://arxiv.org/abs/1905.05368v1
• [cs.IT]Low Complexity Algorithms for Robust Multigroup Multicast Beamforming
Guangda Zang, Hei Victor Cheng, Ying Cui, Wei Liu, Feng Yang, Lianghui Ding, Hui Liu
http://arxiv.org/abs/1905.05639v1
• [cs.IT]RLS-Based Detection for Massive Spatial Modulation MIMO
Ali Bereyhi, Saba Asaad, Bernhard Gäde, Ralf R. Müller
http://arxiv.org/abs/1905.05223v1
• [cs.IT]Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning
Rawad Bitar, Mary Wootters, Salim El Rouayheb
http://arxiv.org/abs/1905.05383v1
• [cs.IT]Transtemporal edges and crosslayer edges in incompressible high-order networks
Felipe S. Abrahão, Klaus Wehmuth, Artur Ziviani
http://arxiv.org/abs/1905.05276v1
• [cs.IT]UAV Swarm-Enabled Aerial CoMP: A Physical Layer Security Perspective
Xuanxuan Wang, Wei Feng, Yunfei Chen, Ning Ge
http://arxiv.org/abs/1905.05449v1
• [cs.LG]A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction
Xiaoyuan Liang, Guiling Wang, Martin Renqiang Min, Yi Qi, Zhu Han
http://arxiv.org/abs/1905.05614v1
• [cs.LG]A Distributed Approach towards Discriminative Distance Metric Learning
Jun Li, Xun Lin, Xiaoguang Rui, Yong Rui, Dacheng Tao
http://arxiv.org/abs/1905.05177v1
• [cs.LG]A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment
Weida Li, Fang Chen, Daoqiang Zhang
http://arxiv.org/abs/1905.05468v1
• [cs.LG]A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization
Jia Bi, Steve R. Gunn
http://arxiv.org/abs/1905.05185v1
• [cs.LG]ActiveHNE: Active Heterogeneous Network Embedding
Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li, Xiangliang Zhang
http://arxiv.org/abs/1905.05659v1
• [cs.LG]Adaptive Robust Optimization with Nearly Submodular Structure
Shaojie Tang, Jing Yuan
http://arxiv.org/abs/1905.05339v1
• [cs.LG]Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization
Binyamin Manela, Armin Biess
http://arxiv.org/abs/1905.05498v1
• [cs.LG]Can NetGAN be improved by short random walks originated from dense vertices?
Amir Jalilifard, Vinicius Caridá, Alex Mansano, Rogers Cristo
http://arxiv.org/abs/1905.05298v1
• [cs.LG]Consequential Ranking Algorithms and Long-term Welfare
Behzad Tabibian, Vicenç Gómez, Abir De, Bernhard Schölkopf, Manuel Gomez Rodriguez
http://arxiv.org/abs/1905.05305v1
• [cs.LG]Control Regularization for Reduced Variance Reinforcement Learning
Richard Cheng, Abhinav Verma, Gabor Orosz, Swarat Chaudhuri, Yisong Yue, Joel W. Burdick
http://arxiv.org/abs/1905.05380v1
• [cs.LG]Correlated Variational Auto-Encoders
Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi
http://arxiv.org/abs/1905.05335v1
• [cs.LG]DeepFlow: History Matching in the Space of Deep Generative Models
Lukas Mosser, Olivier Dubrule, Martin J. Blunt
http://arxiv.org/abs/1905.05749v1
• [cs.LG]Efficient Computation of Hessian Matrices in TensorFlow
Geir K. Nilsen, Antonella Z. Munthe-Kaas, Hans J. Skaug, Morten Brun
http://arxiv.org/abs/1905.05559v1
• [cs.LG]Evaluation Metrics for Unsupervised Learning Algorithms
Julio-Omar Palacio-Niño
http://arxiv.org/abs/1905.05667v1
• [cs.LG]Generating Weighted MAX-2-SAT Instances of Tunable Difficulty with Frustrated Loops
Yan Ru Pei, Haik Manukian, Massimiliano Di Ventra
http://arxiv.org/abs/1905.05334v1
• [cs.LG]Graph Attribute Aggregation Network with Progressive Margin Folding
Penghui Sun, Jingwei Qu, Xiaoqing Lyu, Haibin Ling, Zhi Tang
http://arxiv.org/abs/1905.05347v1
• [cs.LG]Graph Convolutional Gaussian Processes
Ian Walker, Ben Glocker
http://arxiv.org/abs/1905.05739v1
• [cs.LG]Graph U-Nets
Hongyang Gao, Shuiwang Ji
http://arxiv.org/abs/1905.05178v1
• [cs.LG]Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, V N Balasubramanian
http://arxiv.org/abs/1905.05186v1
• [cs.LG]Hierarchically Structured Meta-learning
Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
http://arxiv.org/abs/1905.05301v1
• [cs.LG]Imputing Missing Events in Continuous-Time Event Streams
Hongyuan Mei, Guanghui Qin, Jason Eisner
http://arxiv.org/abs/1905.05570v1
• [cs.LG]Learning Generative Models across Incomparable Spaces
Charlotte Bunne, David Alvarez-Melis, Andreas Krause, Stefanie Jegelka
http://arxiv.org/abs/1905.05461v1
• [cs.LG]Learning Novel Policies For Tasks
Yunbo Zhang, Wenhao Yu, Greg Turk
http://arxiv.org/abs/1905.05252v1
• [cs.LG]Learning and Exploiting Multiple Subgoals for Fast Exploration in Hierarchical Reinforcement Learning
Libo Xing
http://arxiv.org/abs/1905.05180v1
• [cs.LG]Machine Learning at Microsoft with ML .NET
Zeeshan Ahmed, Saeed Amizadeh, Mikhail Bilenko, Rogan Carr, Wei-Sheng Chin, Yael Dekel, Xavier Dupre, Vadim Eksarevskiy, Eric Erhardt, Costin Eseanu, Senja Filipi, Tom Finley, Abhishek Goswami, Monte Hoover, Scott Inglis, Matteo Interlandi, Shon Katzenberger, Najeeb Kazmi, Gleb Krivosheev, Pete Luferenko, Ivan Matantsev, Sergiy Matusevych, Shahab Moradi, Gani Nazirov, Justin Ormont, Gal Oshri, Artidoro Pagnoni, Jignesh Parmar, Prabhat Roy, Mohammad Zeeshan Siddiqui, Markus Weimer, Shauheen Zahirazami, Yiwen Zhu
http://arxiv.org/abs/1905.05715v1
• [cs.LG]Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Aditya Modi, Debadeepta Dey, Alekh Agarwal, Adith Swaminathan, Besmira Nushi, Sean Andrist, Eric Horvitz
http://arxiv.org/abs/1905.05179v1
• [cs.LG]Moment-Based Variational Inference for Markov Jump Processes
Christian Wildner, Heinz Koeppl
http://arxiv.org/abs/1905.05451v1
• [cs.LG]Multilingual Factor Analysis
Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos-Korfiatis, Nils Hammerla
http://arxiv.org/abs/1905.05547v1
• [cs.LG]NGO-GM: Natural Gradient Optimization for Graphical Models
Eric Benhamou, Jamal Atif, Rida Laraki, David Saltiel
http://arxiv.org/abs/1905.05444v1
• [cs.LG]Network Pruning for Low-Rank Binary Indexing
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Parichay Kapoor, Gu-Yeon Wei
http://arxiv.org/abs/1905.05686v1
• [cs.LG]QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Earl Hostallero, Yung Yi
http://arxiv.org/abs/1905.05408v1
• [cs.LG]Revisiting Precision and Recall Definition for Generative Model Evaluation
Loïc Simon, Ryan Webster, Julien Rabin
http://arxiv.org/abs/1905.05441v1
• [cs.LG]Robustification of deep net classifiers by key based diversified aggregation with pre-filtering
Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy
http://arxiv.org/abs/1905.05454v1
• [cs.LG]Spectral Approximate Inference
Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
http://arxiv.org/abs/1905.05348v1
• [cs.LG]Stochastic Blockmodels meet Graph Neural Networks
Nikhil Mehta, Lawrence Carin, Piyush Rai
http://arxiv.org/abs/1905.05738v1
• [cs.LG]Successor Options: An Option Discovery Framework for Reinforcement Learning
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
http://arxiv.org/abs/1905.05731v1
• [cs.LG]Task-Agnostic Dynamics Priors for Deep Reinforcement Learning
Yilun Du, Karthik Narasimhan
http://arxiv.org/abs/1905.04819v2
• [cs.LG]TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture
Gorker Alp Malazgirt, Osman S. Unsal, Adrian Cristal Kestelman
http://arxiv.org/abs/1905.05567v1
• [cs.LG]Trajectory-Based Off-Policy Deep Reinforcement Learning
Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
http://arxiv.org/abs/1905.05710v1
• [cs.LG]Winograd Convolution for DNNs: Beyond linear polinomials
Barbara Barabasz, David Gregg
http://arxiv.org/abs/1905.05233v1
• [cs.LO]Quantitative Logic Reasoning
Marcelo Finger
http://arxiv.org/abs/1905.05665v1
• [cs.MA]CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
http://arxiv.org/abs/1905.05217v1
• [cs.MM]Deep Vocoder: Low Bit Rate Compression of Speech with Deep Autoencoder
Gang Min, Changqing Zhang, Xiongwei Zhang, Wei Tan
http://arxiv.org/abs/1905.04709v2
• [cs.NE]Affine Variational Autoencoders: An Efficient Approach for Improving Generalization and Robustness to Distribution Shift
Rene Bidart, Alexander Wong
http://arxiv.org/abs/1905.05300v1
• [cs.NE]Parallel genetic algorithm for planning safe and optimal route for ship
Ivan Yanchin, Oleg Petrov
http://arxiv.org/abs/1905.05478v1
• [cs.NI]Learning-based Resource Optimization in Ultra Reliable Low Latency HetNets
Mohammad Yousefvand, Kenza Hamidouche, Narayan B. Mandayam
http://arxiv.org/abs/1905.04788v1
• [cs.NI]Measuring and simulating latency in interactive remote rendering systems
Richard Cloete, Nick Holliman
http://arxiv.org/abs/1905.05411v1
• [cs.NI]Passport: Enabling Accurate Country-Level Router Geolocation using Inaccurate Sources
Muzammil Abdul Rehman, Sharon Goldberg, David Choffnes
http://arxiv.org/abs/1905.04651v1
• [cs.PL]Learning Scalable and Precise Representation of Program Semantics
Ke Wang
http://arxiv.org/abs/1905.05251v1
• [cs.RO]Comparing Alternate Modes of Teleoperation for Constrained Tasks
Christopher E. Mower, Wolfgang Merkt, Aled Davies, Sethu Vijayakumar
http://arxiv.org/abs/1905.04428v1
• [cs.RO]Deep Local Trajectory Replanning and Control for Robot Navigation
Ashwini Pokle, Roberto Martín-Martín, Patrick Goebel, Vincent Chow, Hans M. Ewald, Junwei Yang, Zhenkai Wang, Amir Sadeghian, Dorsa Sadigh, Silvio Savarese, Marynel Vázquez
http://arxiv.org/abs/1905.05279v1
• [cs.RO]Efficient Algorithms for Optimal Perimeter Guarding
Si Wei Feng, Shuai D. Han, Kai Gao, Jingjin Yu
http://arxiv.org/abs/1905.04434v1
• [cs.RO]Fast Skill Learning for Variable Compliance Robotic Assembly
Tianyu Ren, Yunfei Dong, Dan Wu, Ken Chen
http://arxiv.org/abs/1905.04427v1
• [cs.RO]Human Visual Understanding for Cognition and Manipulation — A primer for the roboticist
Martin Hjelm
http://arxiv.org/abs/1905.05272v1
• [cs.RO]Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar
http://arxiv.org/abs/1905.04411v1
• [cs.RO]Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing
Tønnes F. Nygaard, Jørgen Nordmoen, Charles P. Martin, Kyrre Glette
http://arxiv.org/abs/1905.05626v1
• [cs.RO]Near-Optimal Path Planning for Complex Robotic Inspection Tasks
Boris Bogaerts, Seppe Sels, Steve Vanlanduit, Rudi Penne
http://arxiv.org/abs/1905.05528v1
• [cs.RO]Randomized Adversarial Imitation Learning for Autonomous Driving
MyungJae Shin, Joongheon Kim
http://arxiv.org/abs/1905.05637v1
• [cs.RO]SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams
Nihal Soans, Yi Hong, Prashant Doshi
http://arxiv.org/abs/1905.04380v1
• [cs.RO]Scratchy: A Lightweight Modular Autonomous Robot for Robotic Competitions
Raphael Memmesheimer, Isabelle Kuhlmann, Mark Mints, Patrik Schmidt, Christian Korbach, Ida Germann, Dietrich Paulus
http://arxiv.org/abs/1905.05642v1
• [cs.RO]Towards a Skeleton-Based Action Recognition For Realistic Scenarios
Cagatay Odabasi, Jewel Jose
http://arxiv.org/abs/1905.05420v1
• [cs.SD]MetricGAN: Generative Adversarial Networks based Black-box Metric Scores Optimization for Speech Enhancement
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao, Shou-De Lin
http://arxiv.org/abs/1905.04874v1
• [cs.SD]Self-supervised Audio Spatialization with Correspondence Classifier
Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang
http://arxiv.org/abs/1905.05375v1
• [cs.SI]Friendship Paradox Biases Perceptions in Directed Networks
Nazanin Alipourfard, Buddhika Nettasinghe, Andres Abeliuk, Vikram Krishnamurthy, Kristina Lerman
http://arxiv.org/abs/1905.05286v1
• [eess.SP]A Novel Beamformed Control Channel Design for LTE with Full Dimension-MIMO
Pavan Reddy M., Harish Kumar D., Saidhiraj Amuru, Kiran Kuchi
http://arxiv.org/abs/1905.05520v1
• [eess.SP]Low Noise Non-Linear Equalization Using Neural Networks and Belief Propagation
Etsushi Yamazaki, Nariman Farsad, Andrea Goldsmith
http://arxiv.org/abs/1905.04893v2
• [eess.SP]RF Chain Reduction for MIMO Systems: A Hardware Prototype
Tierui Gong, Nir Shlezinger, Shahar Stein Ioushua, Moshe Namer, Zhijia Yang, Yonina C. Eldar
http://arxiv.org/abs/1905.05315v1
• [eess.SP]RLS Precoding for Massive MIMO Systems with Nonlinear Front-End
Ali Bereyhi, Saba Asaad, Ralf R. Müller, Symeon Chatzinotas
http://arxiv.org/abs/1905.05227v1
• [eess.SP]Sample Efficient Toeplitz Covariance Estimation
Yonina C. Eldar, Jerry Li, Cameron Musco, Christopher Musco
http://arxiv.org/abs/1905.05643v1
• [eess.SP]Study of Channel Estimation with Oversampling for 1-bit Large-Scale MIMO Systems
Z. Shao, L. Landau, R. de Lamare
http://arxiv.org/abs/1905.05319v1
• [eess.SP]Tracking Human Behavioural Consistency by Analysing Periodicity of Household Water Consumption
Seán Quinn, Noel Murphy, Alan F. Smeaton
http://arxiv.org/abs/1905.05025v1
• [math.OC]Convolutional neural networks with fractional order gradient method
Dian Sheng, Yiheng Wei, Yuquan Chen, Yong Wang
http://arxiv.org/abs/1905.05336v1
• [math.PR]Approximation of Optimal Transport problems with marginal moments constraints
Aurélien Alfonsi, Rafaël Coyaud, Virginie Ehrlacher, Damiano Lombardi
http://arxiv.org/abs/1905.05663v1
• [math.ST]Multivariate Ranks and Quantiles using Optimal Transportation and Applications to Goodness-of-fit Testing
Promit Ghosal, Bodhisattva Sen
http://arxiv.org/abs/1905.05340v1
• [physics.comp-ph]Overcoming Limitations of GPGPU-Computing in Scientific Applications
Connor Kenyon, Glenn Volkema, Gaurav Khanna
http://arxiv.org/abs/1905.05175v1
• [physics.geo-ph]Seismic Bayesian evidential learning: Estimation and uncertainty quantification of sub-resolution reservoir properties
Anshuman Pradhan, Tapan Mukerji
http://arxiv.org/abs/1905.05508v1
• [quant-ph]Programming multi-level quantum gates in disordered computing reservoirs via machine learning
Giulia Marcucci, Davide Pierangeli, Pepjin Pinkse, Malik Mehul, Claudio Conti
http://arxiv.org/abs/1905.05264v1
• [stat.AP]Confirmatory Factor Analysis — A Case study
Rui Portocarrero Sarmento, Vera Costa
http://arxiv.org/abs/1905.05598v1
• [stat.AP]Experimental Evaluation of Individualized Treatment Rules
Kosuke Imai, Michael Lingzhi Li
http://arxiv.org/abs/1905.05389v1
• [stat.ME]Estimating Bayes factors from minimal ANOVA summaries for repeated-measures designs
Thomas J. Faulkenberry
http://arxiv.org/abs/1905.05569v1
• [stat.ME]Hierarchical approaches for flexible and interpretable binary regression models
Henry R. Scharf, Xinyi Lu, Perry J. Williams, Mevin B. Hooten
http://arxiv.org/abs/1905.05242v1
• [stat.ME]Multiple imputation using dimension reduction techniques for high-dimensional data
Domonique W. Hodge, Sandra E. Safo, Qi Long
http://arxiv.org/abs/1905.05274v1
• [stat.ME]Prediction and outlier detection: a distribution-free prediction set with a balanced objective
Leying Guan, Rob Tibshirani
http://arxiv.org/abs/1905.04396v2
• [stat.ME]Scaling Bayesian Probabilistic Record Linkage with Post-Hoc Blocking: An Application to the California Great Registers
Brendan S. McVeigh, Bradley T. Spahn, Jared S. Murray
http://arxiv.org/abs/1905.05337v1
• [stat.ML]A self-organising eigenspace map for time series clustering
Donya Rahmani, Damien Fay, Jacek Brodzki
http://arxiv.org/abs/1905.05540v1
• [stat.ML]Adaptive surrogate models for parametric studies
Jan N. Fuhg
http://arxiv.org/abs/1905.05345v1
• [stat.ML]Convolutional Poisson Gamma Belief Network
Chaojie Wang, Bo Chen, Sucheng Xiao, Mingyuan Zhou
http://arxiv.org/abs/1905.05394v1
• [stat.ML]Deep Gaussian Processes with Importance-Weighted Variational Inference
Hugh Salimbeni, Vincent Dutordoir, James Hensman, Marc Peter Deisenroth
http://arxiv.org/abs/1905.05435v1
• [stat.ML]Learning Hierarchical Priors in VAEs
Alexej Klushyn, Nutan Chen, Richard Kurle, Botond Cseke, Patrick van der Smagt
http://arxiv.org/abs/1905.04982v2
• [stat.ML]Nearest Neighbor and Kernel Survival Analysis: Nonasymptotic Error Bounds and Strong Consistency Rates
George H. Chen
http://arxiv.org/abs/1905.05285v1
• [stat.ML]Variational approximations using Fisher divergence
Yue Yang, Ryan Martin, Howard Bondell
http://arxiv.org/abs/1905.05284v1
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