astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能
cs.CG - 计算几何学
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.LO - 计算逻辑
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.SP - 信号处理
math.AT - 代数拓扑
math.GN - 一般拓扑学
math.OC - 优化与控制
math.ST - 统计理论
physics.soc-ph - 物理学与社会
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.IM]Statistical discrimination of RFI and astronomical transients in 2-bit digitized time domain signals
• [cs.AI]A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach
• [cs.AI]Aggregating explainability methods for neural networks stabilizes explanations
• [cs.AI]Attention-based Lane Change Prediction
• [cs.AI]Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
• [cs.AI]Automating Predictive Modeling Process using Reinforcement Learning
• [cs.AI]Competitive Bridge Bidding with Deep Neural Networks
• [cs.AI]Discovering Options for Exploration by Minimizing Cover Time
• [cs.AI]Hacking Google reCAPTCHA v3 using Reinforcement Learning
• [cs.AI]Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials
• [cs.AI]Learning STRIPS Action Models with Classical Planning
• [cs.AI]Predicting Algorithm Classes for Programming Word Problems
• [cs.AI]Regret Minimisation in Multinomial Logit Bandits
• [cs.AI]Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
• [cs.AI]Strong Asymptotic Optimality in General Environments
• [cs.AI]The Role of Artificial Intelligence (AI) in Adaptive eLearning System (AES) Content Formation: Risks and Opportunities involved
• [cs.AI]The StreetLearn Environment and Dataset
• [cs.AI]Towards Structured Evaluation of Deep Neural Network Supervisors
• [cs.AI]Using Causal Analysis to Learn Specifications from Task Demonstrations
• [cs.AI]Virtual Representations for Iterative IoT Deployment
• [cs.AI]neuralRank: Searching and ranking ANN-based model repositories
• [cs.AI]α-Rank: Multi-Agent Evaluation by Evolution
• [cs.CG]DimDraw -- A novel tool for drawing concept lattices
• [cs.CL]Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
• [cs.CL]From Knowledge Map to Mind Map: Artificial Imagination
• [cs.CL]Polylingual Wordnet
• [cs.CL]Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
• [cs.CL]SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
• [cs.CL]SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media
• [cs.CL]Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
• [cs.CL]Traditional Machine Learning for Pitch Detection
• [cs.CL]Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata
• [cs.CR]Improved Differentially Private Analysis of Variance
• [cs.CV]3D Hand Shape and Pose Estimation from a Single RGB Image
• [cs.CV]3D convolutional neural network for abdominal aortic aneurysm segmentation
• [cs.CV]A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
• [cs.CV]AIRD: Adversarial Learning Framework for Image Repurposing Detection
• [cs.CV]Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier
• [cs.CV]An Adversarial Super-Resolution Remedy for Radar Design Trade-offs
• [cs.CV]Automatic microscopic cell counting by use of deeply-supervised density regression model
• [cs.CV]CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
• [cs.CV]COMIC: Towards A Compact Image Captioning Model with Attention
• [cs.CV]Collaborative Spatio-temporal Feature Learning for Video Action Recognition
• [cs.CV]Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
• [cs.CV]Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks
• [cs.CV]Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring
• [cs.CV]Face Image Reflection Removal
• [cs.CV]Feature Selective Anchor-Free Module for Single-Shot Object Detection
• [cs.CV]Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
• [cs.CV]Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry
• [cs.CV]Hand Pose Estimation: A Survey
• [cs.CV]Image Super-Resolution by Neural Texture Transfer
• [cs.CV]Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing
• [cs.CV]Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
• [cs.CV]Joint segmentation and classification of retinal arteries/veins from fundus images
• [cs.CV]Less is More: Learning Highlight Detection from Video Duration
• [cs.CV]Let's Transfer Transformations of Shared Semantic Representations
• [cs.CV]MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
• [cs.CV]Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network
• [cs.CV]Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
• [cs.CV]OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
• [cs.CV]Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM
• [cs.CV]PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things
• [cs.CV]PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
• [cs.CV]Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation
• [cs.CV]Quaternion Convolutional Neural Networks
• [cs.CV]RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
• [cs.CV]Recognition of Multiple Food Items in a Single Photo for Use in a Buffet-Style Restaurant
• [cs.CV]Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery
• [cs.CV]STEFANN: Scene Text Editor using Font Adaptive Neural Network
• [cs.CV]Self-Supervised Learning of Face Representations for Video Face Clustering
• [cs.CV]Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
• [cs.CV]Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks
• [cs.CV]Spatiotemporal Pyramid Network for Video Action Recognition
• [cs.CV]Straight to the point: reinforcement learning for user guidance in ultrasound
• [cs.CV]Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer
• [cs.CV]Unsupervised Bi-directional Flow-based Video Generation from one Snapshot
• [cs.CV]Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
• [cs.CV]Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition
• [cs.CV]Unsupervised Tracklet Person Re-Identification
• [cs.CV]Unsupervised Traffic Accident Detection in First-Person Videos
• [cs.CV]VideoFlow: A Flow-Based Generative Model for Video
• [cs.CV]X-Section: Cross-section Prediction for Enhanced RGBD Fusion
• [cs.CV]Zero-Shot Task Transfer
• [cs.CY]Design and Validation of a Bluetooth 5 Fog ComputingBased Industrial CPS Architecture for Intelligent Industry 4.0 Shipyard Workshops
• [cs.CY]Fairness in Recommendation Ranking through Pairwise Comparisons
• [cs.CY]Female Teenagers in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivation
• [cs.CY]How IT allows E-Participation in Policy-Making Process
• [cs.CY]On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
• [cs.CY]Synthetic Knowing: The Politics of the Internet of Things
• [cs.DC]Integrating Temporal Information to Spatial Information in a Neural Circuit
• [cs.DC]Near-Additive Spanners In Low Polynomial Deterministic CONGEST Time
• [cs.DC]Parameterized Distributed Complexity Theory: A logical approach
• [cs.DC]RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems
• [cs.DC]Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform
• [cs.DC]Workflow Scheduling in the Cloud with Weighted Upward-rank Priority Scheme Using Random Walk and Uniform Spare Budget Splitting
• [cs.DS]Deterministic Sparse Fourier Transform with an ell_infty Guarantee
• [cs.DS]Online Graph Exploration on a Restricted Graph Class: Optimal Solutions for Tadpole Graphs
• [cs.GT]Attacking Power Indices by Manipulating Player Reliability
• [cs.GT]Decision-Focused Learning of Adversary Behavior in Security Games
• [cs.GT]Group-Fairness in Influence Maximization
• [cs.IR]Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
• [cs.IT]A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications
• [cs.IT]Asymmetric Single Magnitude Four Error Correcting Codes
• [cs.IT]Asymptotics of MAP Inference in Deep Networks
• [cs.IT]Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems
• [cs.IT]CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors
• [cs.IT]Deterministic Analysis of Weighted BPDN With Partially Known Support Information
• [cs.IT]Energy Efficiency Analysis of Collaborative Compressive Sensing Scheme in Cognitive Radio Networks
• [cs.IT]Error Exponents of Typical Random Trellis Codes
• [cs.IT]Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience
• [cs.IT]Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks
• [cs.IT]Outage-Limit-Approaching Protograph LDPC Codes for Slow-Fading Wireless Communications
• [cs.IT]Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Relay Networks with Randomly Located Nodes
• [cs.IT]Pseudocodeword-based Decoding of Quantum Stabilizer Codes
• [cs.IT]Secure Short-Packet Communications for Mission-Critical IoT Applications
• [cs.LG]3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
• [cs.LG]A Fundamental Performance Limitation for Adversarial Classification
• [cs.LG]A Nonlinear Model for Time Synchronization
• [cs.LG]Accelerating Training of Deep Neural Networks with a Standardization Loss
• [cs.LG]Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments
• [cs.LG]Binary Classifier Inspired by Quantum Theory
• [cs.LG]Calibration of Encoder Decoder Models for Neural Machine Translation
• [cs.LG]Complement Objective Training
• [cs.LG]Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure
• [cs.LG]Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II
• [cs.LG]Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability
• [cs.LG]FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration
• [cs.LG]From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
• [cs.LG]GAP: Generalizable Approximate Graph Partitioning Framework
• [cs.LG]Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs
• [cs.LG]Graph Neural Networks for Modelling Traffic Participant Interaction
• [cs.LG]GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
• [cs.LG]Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
• [cs.LG]JIM: Joint Influence Modeling for Collective Search Behavior
• [cs.LG]Learning low-precision neural networks without Straight-Through Estimator(STE)
• [cs.LG]Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
• [cs.LG]Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm
• [cs.LG]Multiple Learning for Regression in big data
• [cs.LG]NoRML: No-Reward Meta Learning
• [cs.LG]One-Pass Incomplete Multi-view Clustering
• [cs.LG]Optimizing Object-based Perception and Control by Free-Energy Principle
• [cs.LG]PuVAE: A Variational Autoencoder to Purify Adversarial Examples
• [cs.LG]Robust commuter movement inference from connected mobile devices
• [cs.LG]Scaling up budgeted reinforcement learning
• [cs.LG]Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection
• [cs.LG]Speech Recognition with no speech or with noisy speech
• [cs.LG]Stability of decision trees and logistic regression
• [cs.LG]Stochastic Online Learning with Probabilistic Graph Feedback
• [cs.LG]Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning
• [cs.LG]Ultra-Scalable Spectral Clustering and Ensemble Clustering
• [cs.LG]Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks
• [cs.LG]Variational Auto-Decoder: Neural Generative Modeling from Partial Data
• [cs.LO]Differentiable Causal Computations via Delayed Trace
• [cs.MA]A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network
• [cs.MA]Microscopic Traffic Simulation by Cooperative Multi-agent Deep Reinforcement Learning
• [cs.MA]Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents
• [cs.NE]CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling
• [cs.NE]Counting to Ten with Two Fingers: Compressed Counting with Spiking Neurons
• [cs.NE]Evolving Spiking Neural Networks for Nonlinear Control Problems
• [cs.NE]GRP Model for Sensorimotor Learning
• [cs.NI]Designing Optimal Multiplex Networks for Certain Laplacian Spectral Properties
• [cs.RO]A Hybrid SLAM and Object Recognition System for Pepper Robot
• [cs.RO]Automated Generation of Reactive Programs from Human Demonstration for Orchestration of Robot Behaviors
• [cs.RO]Complex Stiffness Model of Physical Human-Robot Interaction: Implications for Control of Performance Augmentation Exoskeletons
• [cs.RO]Controlling Robots using Artificial Intelligence and a Consortium Blockchain
• [cs.RO]DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots
• [cs.RO]Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety
• [cs.RO]Design and Development of Underwater Vehicle: ANAHITA
• [cs.RO]Detecting Invasive Insects with Unmanned Aerial Vehicles
• [cs.RO]Dual-arm Assembly Planning Considering Gravitational Constraints
• [cs.RO]End-to-end Driving Deploying through Uncertainty-Aware Imitation Learning and Stochastic Visual Domain Adaptation
• [cs.RO]Evaluation of state representation methods in robot hand-eye coordination learning from demonstration
• [cs.RO]Fully Convolutional One-Shot Object Segmentation for Industrial Robotics
• [cs.RO]Improving Task-Parameterised Movement Learning Generalisation with Frame-Weighted Trajectory Generation
• [cs.RO]Keyframe-based Direct Thermal-Inertial Odometry
• [cs.RO]Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring
• [cs.RO]Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments
• [cs.RO]Online Vehicle Trajectory Prediction using Policy Anticipation Network and Optimization-based Context Reasoning
• [cs.RO]Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network
• [cs.RO]Prediction of Human Trajectory Following a Haptic Robotic Guide Using Recurrent Neural Networks
• [cs.RO]Pushing the Boundaries of Asymptotic Optimality for Sampling-based Roadmaps In Motion And Task Planning
• [cs.RO]Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
• [cs.RO]Robot Learning via Human Adversarial Games
• [cs.RO]Robot-to-Robot Relative Pose Estimation using Humans as Markers
• [cs.RO]Robust Grasp Planning Over Uncertain Shape Completions
• [cs.RO]Sim-to-Real Transfer for Biped Locomotion
• [cs.RO]State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning
• [cs.RO]Topological Information-Theoretic Belief Space Planning with Optimality Guarantees
• [cs.RO]Toward Achieving Formal Guarantees for Human-Aware Controllers in Human-Robot Interactions
• [cs.RO]Towards Robust Product Packing with a Minimalistic End-Effector
• [cs.RO]Trajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization
• [cs.RO]dRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning
• [cs.RO]iVOA: Introspective Vision for Obstacle Avoidance
• [cs.SE]Research Software Development & Management in Universities: Case Studies from Manchester's RSDS Group, Illinois' NCSA, and Notre Dame's CRC
• [cs.SI]Centralities for Networks with Consumable Resources
• [cs.SI]On Fractional Approach to Analysis of Linked Networks
• [cs.SI]Temporal Bibliographic Networks
• [cs.SI]Using network motifs to characterize temporal network evolution leading to diffusion inhibition
• [eess.SP]Algorithms for Piecewise Constant Signal Approximations
• [math.AT]Same but Different: distance correlations between topological summaries
• [math.GN]Strong homotopy of digitally continuous functions
• [math.OC]A unifying representer theorem for inverse problems and machine learning
• [math.OC]Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints
• [math.OC]Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming
• [math.ST]A Bayesian Nonparametric Estimation to Entropy
• [math.ST]Data Amplification: Instance-Optimal Property Estimation
• [math.ST]Empirical priors for prediction in sparse high-dimensional linear regression
• [math.ST]Goodness-of-Fit Testing for Time Series Models via Distance Covariance
• [math.ST]Heavy Tailed Horseshoe Priors
• [math.ST]High-Dimensional Learning under Approximate Sparsity: A Unifying Framework for Nonsmooth Learning and Regularized Neural Networks
• [math.ST]Kullback-Leibler Divergence for Bayesian Nonparametric Model Checking
• [math.ST]Multiscale inference and long-run variance estimation in nonparametric regression with time series errors
• [math.ST]Multivariate extensions of isotonic regression and total variation denoising via entire monotonicity and Hardy-Krause variation
• [math.ST]Nonparametric Confidence Regions for Level Sets: Statistical Properties and Geometry
• [math.ST]Nonparametric adaptive inference of birth and death models in a large population limit
• [math.ST]On one-sample Bayesian tests for the mean
• [math.ST]Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications
• [math.ST]Time Series Source Separation using Dynamic Mode Decomposition
• [physics.soc-ph]Perception, Prestige and PageRank
• [stat.AP]An Algorithmic Approach to Forecasting Rare Violent Events: An Illustration Based in IPV Perpetration
• [stat.AP]Bayesian Mendelian Randomization identifies disease causing proteins via pedigree data, partially observed exposures and correlated instruments
• [stat.AP]Contemporary statistical inference for infectious disease models using Stan
• [stat.AP]Cultural evolution in Vietnam's early 20th century: a Bayesian networks analysis of Franco-Chinese house designs
• [stat.AP]Early Detection of Influenza outbreaks in the United States
• [stat.AP]Non-decimated Quaternion Wavelet Spectral Tools with Applications
• [stat.AP]Probabilistic Forecasting of Temporal Trajectories of Regional Power Production - Part 1: Wind
• [stat.AP]Probabilistic Forecasting of Temporal Trajectories of Regional Power Production - Part 2: Photovoltaic Solar
• [stat.CO]Bernoulli Race Particle Filters
• [stat.CO]Scalable optimization-based sampling on function space
• [stat.CO]Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
• [stat.ME]A functional-model-adjusted spatial scan statistic
• [stat.ME]An Empirical Bayes Method for Chi-Squared Data
• [stat.ME]Detection of latent heteroscedasticity and group-based regression effects in linear models via Bayesian model selection
• [stat.ME]On genetic correlation estimation with summary statistics from genome-wide association studies
• [stat.ME]Sequential estimation for GEE with adaptive variables and subject selection
• [stat.ME]Simulation study of estimating between-study variance and overall effect in meta-analysis of standardized mean difference
• [stat.ML]A Unified Framework for Regularized Reinforcement Learning
• [stat.ML]Anytime Online-to-Batch Conversions, Optimism, and Acceleration
• [stat.ML]Approximation Properties of Variational Bayes for Vector Autoregressions
• [stat.ML]Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference
• [stat.ML]Classification via local manifold approximation
• [stat.ML]Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks
• [stat.ML]Database Alignment with Gaussian Features
• [stat.ML]Introducing Super Pseudo Panels: Application to Transport Preference Dynamics
• [stat.ML]Lexicographically Ordered Multi-Objective Clustering
• [stat.ML]Optimistic Adaptive Acceleration for Optimization
• [stat.ML]Quantitative Robustness of Localized Support Vector Machines
·····································
• [astro-ph.IM]Statistical discrimination of RFI and astronomical transients in 2-bit digitized time domain signals
Gelu M. Nita, Aard Keimpema, Zsolt Paragi
http://arxiv.org/abs/1903.00588v1
• [cs.AI]A Formal Framework for Robot Construction Problems: A Hybrid Planning Approach
Faseeh Ahmad, Esra Erdem, Volkan Patoglu
http://arxiv.org/abs/1903.00745v1
• [cs.AI]Aggregating explainability methods for neural networks stabilizes explanations
Laura Rieger, Lars Kai Hansen
http://arxiv.org/abs/1903.00519v1
• [cs.AI]Attention-based Lane Change Prediction
Oliver Scheel, Naveen Shankar Nagaraja, Loren Schwarz, Nassir Navab, Federico Tombari
http://arxiv.org/abs/1903.01246v1
• [cs.AI]Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
Joel Z. Leibo, Edward Hughes, Marc Lanctot, Thore Graepel
http://arxiv.org/abs/1903.00742v1
• [cs.AI]Automating Predictive Modeling Process using Reinforcement Learning
Udayan Khurana, Horst Samulowitz
http://arxiv.org/abs/1903.00743v1
• [cs.AI]Competitive Bridge Bidding with Deep Neural Networks
Jiang Rong, Tao Qin, Bo An
http://arxiv.org/abs/1903.00900v1
• [cs.AI]Discovering Options for Exploration by Minimizing Cover Time
Yuu Jinnai, Jee Won Park, David Abel, George Konidaris
http://arxiv.org/abs/1903.00606v1
• [cs.AI]Hacking Google reCAPTCHA v3 using Reinforcement Learning
Ismail Akrout, Amal Feriani, Mohamed Akrout
http://arxiv.org/abs/1903.01003v1
• [cs.AI]Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials
Hossein Aboutalebi, Doina Precup, Tibor Schuster
http://arxiv.org/abs/1903.01026v1
• [cs.AI]Learning STRIPS Action Models with Classical Planning
Diego Aineto, Sergio Jiménez, Eva Onaindia
http://arxiv.org/abs/1903.01153v1
• [cs.AI]Predicting Algorithm Classes for Programming Word Problems
vinayak athavale, aayush naik, rajas vanjape, manish shrivastava
http://arxiv.org/abs/1903.00830v1
• [cs.AI]Regret Minimisation in Multinomial Logit Bandits
Aadirupa Saha, Aditya Gopalan
http://arxiv.org/abs/1903.00543v1
• [cs.AI]Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
Gerhard Wohlgenannt, Ekaterina Chernyak, Dmitry Ilvovsky, Ariadna Barinova, Dmitry Mouromtsev
http://arxiv.org/abs/1903.01284v1
• [cs.AI]Strong Asymptotic Optimality in General Environments
Michael K. Cohen, Elliot Catt, Marcus Hutter
http://arxiv.org/abs/1903.01021v1
• [cs.AI]The Role of Artificial Intelligence (AI) in Adaptive eLearning System (AES) Content Formation: Risks and Opportunities involved
Suleiman Adamu, Jamilu Awwalu
http://arxiv.org/abs/1903.00934v1
• [cs.AI]The StreetLearn Environment and Dataset
Piotr Mirowski, Andras Banki-Horvath, Keith Anderson, Denis Teplyashin, Karl Moritz Hermann, Mateusz Malinowski, Matthew Koichi Grimes, Karen Simonyan, Koray Kavukcuoglu, Andrew Zisserman, Raia Hadsell
http://arxiv.org/abs/1903.01292v1
• [cs.AI]Towards Structured Evaluation of Deep Neural Network Supervisors
Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing
http://arxiv.org/abs/1903.01263v1
• [cs.AI]Using Causal Analysis to Learn Specifications from Task Demonstrations
Daniel Angelov, Yordan Hristov, Subramanian Ramamoorthy
http://arxiv.org/abs/1903.01267v1
• [cs.AI]Virtual Representations for Iterative IoT Deployment
Sebastian R. Bader, Maria Maleshkova
http://arxiv.org/abs/1903.00718v1
• [cs.AI]neuralRank: Searching and ranking ANN-based model repositories
Nirmit Desai, Linsong Chu, Raghu K. Ganti, Sebastian Stein, Mudhakar Srivatsa
http://arxiv.org/abs/1903.00711v1
• [cs.AI]α-Rank: Multi-Agent Evaluation by Evolution
Shayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras, Karl Tuyls, Mark Rowland, Jean-Baptiste Lespiau, Wojciech M. Czarnecki, Marc Lanctot, Julien Perolat, Remi Munos
http://arxiv.org/abs/1903.01373v1
• [cs.CG]DimDraw -- A novel tool for drawing concept lattices
Dominik Dürrschnabel, Tom Hanika, Gerd Stumme
http://arxiv.org/abs/1903.00686v1
• [cs.CL]Detecting dementia in Mandarin Chinese using transfer learning from a parallel corpus
Bai Li, Yi-Te Hsu, Frank Rudzicz
http://arxiv.org/abs/1903.00933v1
• [cs.CL]From Knowledge Map to Mind Map: Artificial Imagination
Ruixue Liu, Baoyang Chen, Xiaoyu Guo, Yan Dai, Meng Chen, Zhijie Qiu, Xiaodong He
http://arxiv.org/abs/1903.01080v1
• [cs.CL]Polylingual Wordnet
Mihael Arcan, John McCrae, Paul Buitelaar
http://arxiv.org/abs/1903.01411v1
• [cs.CL]Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
Nicolas Garneau, Jean-Samuel Leboeuf, Luc Lamontagne
http://arxiv.org/abs/1903.00724v1
• [cs.CL]SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
Kalyan KS, S Sangeetha
http://arxiv.org/abs/1903.01039v1
• [cs.CL]SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media
Andrei-Bogdan Puiu, Andrei-Octavian Brabete
http://arxiv.org/abs/1903.00665v1
• [cs.CL]Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
Ethan Wilcox, Peng Qian, Richard Futrell, Miguel Ballesteros, Roger Levy
http://arxiv.org/abs/1903.00943v1
• [cs.CL]Traditional Machine Learning for Pitch Detection
Thomas Drugman, Goeric Huybrechts, Viacheslav Klimkov, Alexis Moinet
http://arxiv.org/abs/1903.01290v1
• [cs.CL]Using Word Embeddings for Visual Data Exploration with Ontodia and Wikidata
Gerhard Wohlgenannt, Nikolay Klimov, Dmitry Mouromtsev, Daniil Razdyakonov, Dmitry Pavlov, Yury Emelyanov
http://arxiv.org/abs/1903.01275v1
• [cs.CR]Improved Differentially Private Analysis of Variance
Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna Ritz, Adam Groce, Andrew Bray
http://arxiv.org/abs/1903.00534v1
• [cs.CV]3D Hand Shape and Pose Estimation from a Single RGB Image
Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan
http://arxiv.org/abs/1903.00812v1
• [cs.CV]3D convolutional neural network for abdominal aortic aneurysm segmentation
Karen López-Linares, Inmaculada García, Ainhoa García-Familiar, Iván Macía, Miguel A. González Ballester
http://arxiv.org/abs/1903.00879v1
• [cs.CV]A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh
http://arxiv.org/abs/1903.01015v1
• [cs.CV]AIRD: Adversarial Learning Framework for Image Repurposing Detection
Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan
http://arxiv.org/abs/1903.00788v1
• [cs.CV]Active Authentication using an Autoencoder regularized CNN-based One-Class Classifier
Poojan Oza, Vishal M. Patel
http://arxiv.org/abs/1903.01031v1
• [cs.CV]An Adversarial Super-Resolution Remedy for Radar Design Trade-offs
Sherif Abdulatif, Karim Armanious, Fady Aziz, Urs Schneider, Bin Yang
http://arxiv.org/abs/1903.01392v1
• [cs.CV]Automatic microscopic cell counting by use of deeply-supervised density regression model
Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark Anastasio, Hua Li
http://arxiv.org/abs/1903.01084v1
• [cs.CV]CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
Gongjie Zhang, Shijian Lu, Wei Zhang
http://arxiv.org/abs/1903.00857v1
• [cs.CV]COMIC: Towards A Compact Image Captioning Model with Attention
Jia Huei Tan, Chee Seng Chan, Joon Huang Chuah
http://arxiv.org/abs/1903.01072v1
• [cs.CV]Collaborative Spatio-temporal Feature Learning for Video Action Recognition
Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
http://arxiv.org/abs/1903.01197v1
• [cs.CV]Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network
Xiaolong Jiang, Zehao Xiao, Baochang Zhang, Xiantong Zhen, Xianbin Cao, David Doermann, Ling Shao
http://arxiv.org/abs/1903.00853v1
• [cs.CV]Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks
Xuhao Jiang, Liquan Shen, Guorui Feng, Liangwei Yu, Ping An
http://arxiv.org/abs/1903.00705v1
• [cs.CV]Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring
Jianrui Cai, Wangmeng Zuo, Lei Zhang
http://arxiv.org/abs/1903.00763v1
• [cs.CV]Face Image Reflection Removal
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot
http://arxiv.org/abs/1903.00865v1
• [cs.CV]Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu, Yihui He, Marios Savvides
http://arxiv.org/abs/1903.00621v1
• [cs.CV]Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks
Noshaba Cheema, Somayeh Hosseini, Janis Sprenger, Erik Herrmann, Han Du, Klaus Fischer, Philipp Slusallek
http://arxiv.org/abs/1903.00695v1
• [cs.CV]Ground Plane based Absolute Scale Estimation for Monocular Visual Odometry
Dingfu Zhou, Yuchao Dai, Hongdong Li
http://arxiv.org/abs/1903.00912v1
• [cs.CV]Hand Pose Estimation: A Survey
Bardia Doosti
http://arxiv.org/abs/1903.01013v1
• [cs.CV]Image Super-Resolution by Neural Texture Transfer
Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi
http://arxiv.org/abs/1903.00834v1
• [cs.CV]Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing
Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li
http://arxiv.org/abs/1903.00839v1
• [cs.CV]Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities
Antoni Rosinol, Torsten Sattler, Marc Pollefeys, Luca Carlone
http://arxiv.org/abs/1903.01067v1
• [cs.CV]Joint segmentation and classification of retinal arteries/veins from fundus images
Fantin Girard, Conrad Kavalec, Farida Cheriet
http://arxiv.org/abs/1903.01330v1
• [cs.CV]Less is More: Learning Highlight Detection from Video Duration
Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman
http://arxiv.org/abs/1903.00859v1
• [cs.CV]Let's Transfer Transformations of Shared Semantic Representations
Nam Vo, Lu Jiang, James Hays
http://arxiv.org/abs/1903.00793v1
• [cs.CV]MILDNet: A Lightweight Single Scaled Deep Ranking Architecture
Anirudha Vishvakarma
http://arxiv.org/abs/1903.00905v1
• [cs.CV]Matching Thermal to Visible Face Images Using a Semantic-Guided Generative Adversarial Network
Cunjian Chen, Arun Ross
http://arxiv.org/abs/1903.00963v1
• [cs.CV]Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Jian Sun, Tieniu Tan
http://arxiv.org/abs/1903.00875v1
• [cs.CV]OmniDRL: Robust Pedestrian Detection using Deep Reinforcement Learning on Omnidirectional Cameras
G. Dias Pais, Tiago J. Dias, Jacinto C. Nascimento, Pedro Miraldo
http://arxiv.org/abs/1903.00676v1
• [cs.CV]Pancreas Segmentation via Spatial Context based U-net and Bidirectional LSTM
Hao Li, Jun Li, Xiaozhu Lin, Xiaohua Qian
http://arxiv.org/abs/1903.00832v1
• [cs.CV]PanopticFusion: Online Volumetric Semantic Mapping at the Level of Stuff and Things
Gaku Narita, Takashi Seno, Tomoya Ishikawa, Yohsuke Kaji
http://arxiv.org/abs/1903.01177v1
• [cs.CV]PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu
http://arxiv.org/abs/1903.00709v1
• [cs.CV]Probability Map Guided Bi-directional Recurrent UNet for Pancreas Segmentation
Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian
http://arxiv.org/abs/1903.00923v1
• [cs.CV]Quaternion Convolutional Neural Networks
Xuanyu Zhu, Yi Xu, Hongteng Xu, Changjian Chen
http://arxiv.org/abs/1903.00658v1
• [cs.CV]RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid
http://arxiv.org/abs/1903.00620v1
• [cs.CV]Recognition of Multiple Food Items in a Single Photo for Use in a Buffet-Style Restaurant
Masashi Anzawa, Sosuke Amano, Yoko Yamakata, Keiko Motonaga, Akiko Kamei, Kiyoharu Aizawa
http://arxiv.org/abs/1903.00858v1
• [cs.CV]Reduced Focal Loss: 1st Place Solution to xView object detection in Satellite Imagery
Nikolay Sergievskiy, Alexander Ponamarev
http://arxiv.org/abs/1903.01347v1
• [cs.CV]STEFANN: Scene Text Editor using Font Adaptive Neural Network
Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal
http://arxiv.org/abs/1903.01192v1
• [cs.CV]Self-Supervised Learning of Face Representations for Video Face Clustering
Vivek Sharma, Makarand Tapaswi, M. Saquib Sarfraz, Rainer Stiefelhagen
http://arxiv.org/abs/1903.01000v1
• [cs.CV]Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model
Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye
http://arxiv.org/abs/1903.01248v1
• [cs.CV]Spatio-Temporal Vegetation Pixel Classification By Using Convolutional Networks
Keiller Nogueira, Jefersson A. dos Santos, Nathalia Menini, Thiago S. F. Silva, Leonor Patricia C. Morellato, Ricardo da S. Torres
http://arxiv.org/abs/1903.00774v1
• [cs.CV]Spatiotemporal Pyramid Network for Video Action Recognition
Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu
http://arxiv.org/abs/1903.01038v1
• [cs.CV]Straight to the point: reinforcement learning for user guidance in ultrasound
Fausto Milletari, Vighnesh Birodkar, Michal Sofka
http://arxiv.org/abs/1903.00586v1
• [cs.CV]Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer
Wei-Wen Hsu, Chung-Hao Chen, Chang Hoa, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, Yanghong Tai
http://arxiv.org/abs/1903.01214v1
• [cs.CV]Unsupervised Bi-directional Flow-based Video Generation from one Snapshot
Lu Sheng, Junting Pan, Jiaming Guo, Jing Shao, Xiaogang Wang, Chen Change Loy
http://arxiv.org/abs/1903.00913v1
• [cs.CV]Unsupervised Cross-spectral Stereo Matching by Learning to Synthesize
Mingyang Liang, Xiaoyang Guo, Hongsheng Li, Xiaogang Wang, You Song
http://arxiv.org/abs/1903.01078v1
• [cs.CV]Unsupervised Domain Adaptation Learning Algorithm for RGB-D Staircase Recognition
Wang Jing, Zhang Kuangen
http://arxiv.org/abs/1903.01212v1
• [cs.CV]Unsupervised Tracklet Person Re-Identification
Minxian Li, Xiatian Zhu, Shaogang Gong
http://arxiv.org/abs/1903.00535v1
• [cs.CV]Unsupervised Traffic Accident Detection in First-Person Videos
Yu Yao, Mingze Xu, Yuchen Wang, David J. Crandall, Ella M. Atkins
http://arxiv.org/abs/1903.00618v1
• [cs.CV]VideoFlow: A Flow-Based Generative Model for Video
Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan, Chelsea Finn, Sergey Levine, Laurent Dinh, Durk Kingma
http://arxiv.org/abs/1903.01434v1
• [cs.CV]X-Section: Cross-section Prediction for Enhanced RGBD Fusion
Andrea Nicastro, Ronald Clark, Stefan Leutenegger
http://arxiv.org/abs/1903.00987v1
• [cs.CV]Zero-Shot Task Transfer
Arghya Pal, Vineeth N Balasubramanian
http://arxiv.org/abs/1903.01092v1
• [cs.CY]Design and Validation of a Bluetooth 5 Fog ComputingBased Industrial CPS Architecture for Intelligent Industry 4.0 Shipyard Workshops
Paula Fraga-Lamas, Peio Lopez-Iturri, Mikel Celaya-Echarri, Oscar Blanco-Novoa, Leyre Azpilicueta, José Varela-Barbeito, Francisco Falcone, Tiago M. Fernández-Caramés
http://arxiv.org/abs/1903.00713v1
• [cs.CY]Fairness in Recommendation Ranking through Pairwise Comparisons
Alex Beutel, Jilin Chen, Tulsee Doshi, Hai Qian, Li Wei, Yi Wu, Lukasz Heldt, Zhe Zhao, Lichan Hong, Ed H. Chi, Cristos Goodrow
http://arxiv.org/abs/1903.00780v1
• [cs.CY]Female Teenagers in Computer Science Education: Understanding Stereotypes, Negative Impacts, and Positive Motivation
Bernadette Spieler, Libora Oates-Indruchova, Wolfgang Slany
http://arxiv.org/abs/1903.01190v1
• [cs.CY]How IT allows E-Participation in Policy-Making Process
Sourav Mukherjee
http://arxiv.org/abs/1903.00831v1
• [cs.CY]On the Long-term Impact of Algorithmic Decision Policies: Effort Unfairness and Feature Segregation through Social Learning
Hoda Heidari, Vedant Nanda, Krishna P. Gummadi
http://arxiv.org/abs/1903.01209v1
• [cs.CY]Synthetic Knowing: The Politics of the Internet of Things
Eric Monteiro, Elena Parmiggiani
http://arxiv.org/abs/1903.00663v1
• [cs.DC]Integrating Temporal Information to Spatial Information in a Neural Circuit
Mien Brabeeba Wang, Nancy Lynch
http://arxiv.org/abs/1903.01217v1
• [cs.DC]Near-Additive Spanners In Low Polynomial Deterministic CONGEST Time
Michael Elkin, Shaked Matar
http://arxiv.org/abs/1903.00872v1
• [cs.DC]Parameterized Distributed Complexity Theory: A logical approach
Sebastian Siebertz
http://arxiv.org/abs/1903.00505v1
• [cs.DC]RT-Gang: Real-Time Gang Scheduling Framework for Safety-Critical Systems
Waqar Ali, Heechul Yun
http://arxiv.org/abs/1903.00999v1
• [cs.DC]Resource-sharing Policy in Multi-tenant Scientific Workflow as a Service Platform
Muhammad Hafizhuddin Hilman, Maria A. Rodriguez, Rajkumar Buyya
http://arxiv.org/abs/1903.01113v1
• [cs.DC]Workflow Scheduling in the Cloud with Weighted Upward-rank Priority Scheme Using Random Walk and Uniform Spare Budget Splitting
Hang Zhang, Xiaoying Zheng, Ye Xia, Mingqi Li
http://arxiv.org/abs/1903.01154v1
• [cs.DS]Deterministic Sparse Fourier Transform with an ell_infty Guarantee
Yi Li, Vasileios Nakos
http://arxiv.org/abs/1903.00995v1
• [cs.DS]Online Graph Exploration on a Restricted Graph Class: Optimal Solutions for Tadpole Graphs
Sebastian Brandt, Klaus-Tycho Foerster, Jonathan Maurer, Roger Wattenhofer
http://arxiv.org/abs/1903.00581v1
• [cs.GT]Attacking Power Indices by Manipulating Player Reliability
Gabriel Istrate, Cosmin Bonchiş, Alin Brînduşescu
http://arxiv.org/abs/1903.01165v1
• [cs.GT]Decision-Focused Learning of Adversary Behavior in Security Games
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
http://arxiv.org/abs/1903.00958v1
• [cs.GT]Group-Fairness in Influence Maximization
Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick
http://arxiv.org/abs/1903.00967v1
• [cs.IR]Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen
http://arxiv.org/abs/1903.01306v1
• [cs.IT]A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications
*Anis Elgabli, Ali Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell
http://arxiv.org/abs/1903.00738v1
• [cs.IT]Asymmetric Single Magnitude Four Error Correcting Codes
Derong Xie, Jinquan Luo
http://arxiv.org/abs/1903.01148v1
• [cs.IT]Asymptotics of MAP Inference in Deep Networks
Parthe Pandit, Mojtaba Sahraee, Sundeep Rangan, Alyson K. Fletcher
http://arxiv.org/abs/1903.01293v1
• [cs.IT]Beam Squint and Channel Estimation for Wideband mmWave Massive MIMO-OFDM Systems
Bolei Wang, Mengnan Jian, Feifei Gao, Geoffrey Ye Li, Shi Jin, Hai Lin
http://arxiv.org/abs/1903.01340v1
• [cs.IT]CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors
Sanghamitra Dutta, Ziqian Bai, Tze Meng Low, Pulkit Grover
http://arxiv.org/abs/1903.01042v1
• [cs.IT]Deterministic Analysis of Weighted BPDN With Partially Known Support Information
Wendong Wang, Jianjun Wang
http://arxiv.org/abs/1903.00902v1
• [cs.IT]Energy Efficiency Analysis of Collaborative Compressive Sensing Scheme in Cognitive Radio Networks
Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Mehrdad Dianati, Naofal Al-Dhahir
http://arxiv.org/abs/1903.00945v1
• [cs.IT]Error Exponents of Typical Random Trellis Codes
Neri Merhav
http://arxiv.org/abs/1903.01120v1
• [cs.IT]Improving Computational Efficiency of Communication for Omniscience and Successive Omniscience
Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo
http://arxiv.org/abs/1903.01001v1
• [cs.IT]Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks
Alaa Alameer Ahmad, Hayssam Dahrouj, Anas Chaaban, Aydin Sezgin, Mohamed-Slim Alouini
http://arxiv.org/abs/1903.00752v1
• [cs.IT]Outage-Limit-Approaching Protograph LDPC Codes for Slow-Fading Wireless Communications
Yi Fang, Pingping Chen, Guofa Cai, Francis C. M. Lau, Soung Chang Liew, Guojun Han
http://arxiv.org/abs/1903.01223v1
• [cs.IT]Performance Analysis of Energy Harvesting Underlay Cooperative Cognitive Radio Relay Networks with Randomly Located Nodes
Anupam Shome, Amit Kumar Dutta, Saswat Chakrabarti, Priyadip Ray
http://arxiv.org/abs/1903.01231v1
• [cs.IT]Pseudocodeword-based Decoding of Quantum Stabilizer Codes
July X. Li, Pascal O. Vontobel
http://arxiv.org/abs/1903.01202v1
• [cs.IT]Secure Short-Packet Communications for Mission-Critical IoT Applications
Hui-Ming Wang, Qian Yang, Zhiguo Ding, H. Vincent Poor
http://arxiv.org/abs/1903.01433v1
• [cs.LG]3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
Bing Yu, Mengzhang Li, Jiyong Zhang, Zhanxing Zhu
http://arxiv.org/abs/1903.00919v1
• [cs.LG]A Fundamental Performance Limitation for Adversarial Classification
Abed AlRahman Al Makdah, Vaibhav Katewa, Fabio Pasqualetti
http://arxiv.org/abs/1903.01032v1
• [cs.LG]A Nonlinear Model for Time Synchronization
Frank Wang, Danjue Li
http://arxiv.org/abs/1903.00545v1
• [cs.LG]Accelerating Training of Deep Neural Networks with a Standardization Loss
Jasmine Collins, Johannes Balle, Jonathon Shlens
http://arxiv.org/abs/1903.00925v1
• [cs.LG]Asynchronous Episodic Deep Deterministic Policy Gradient: Towards Continuous Control in Computationally Complex Environments
Zhizheng Zhang, Jiale Chen, Zhibo Chen, Weiping Li
http://arxiv.org/abs/1903.00827v1
• [cs.LG]Binary Classifier Inspired by Quantum Theory
Prayag Tiwari, Massimo Melucci
http://arxiv.org/abs/1903.01167v1
• [cs.LG]Calibration of Encoder Decoder Models for Neural Machine Translation
Aviral Kumar, Sunita Sarawagi
http://arxiv.org/abs/1903.00802v1
• [cs.LG]Complement Objective Training
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
http://arxiv.org/abs/1903.01182v1
• [cs.LG]Do Neural Networks Show Gestalt Phenomena? An Exploration of the Law of Closure
Been Kim, Emily Reif, Martin Wattenberg, Samy Bengio
http://arxiv.org/abs/1903.01069v1
• [cs.LG]Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II
Ruo-Ze Liu, Haifeng Guo, Xiaozhong Ji, Yang Yu, Zitai Xiao, Yuzhou Wu, Zhen-Jia Pang, Tong Lu
http://arxiv.org/abs/1903.00715v1
• [cs.LG]Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability
Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama
http://arxiv.org/abs/1903.00755v1
• [cs.LG]FRI - Feature Relevance Intervals for Interpretable and Interactive Data Exploration
Lukas Pfannschmidt, Christina Göpfert, Ursula Neumann, Dominik Heider, Barbara Hammer
http://arxiv.org/abs/1903.00719v1
• [cs.LG]From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model
Aadirupa Saha, Aditya Gopalan
http://arxiv.org/abs/1903.00558v1
• [cs.LG]GAP: Generalizable Approximate Graph Partitioning Framework
Azade Nazi, Will Hang, Anna Goldie, Sujith Ravi, Azalia Mirhoseini
http://arxiv.org/abs/1903.00614v1
• [cs.LG]Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs
Elvin Isufi, Fernando Gama, Alejandro Ribeiro
http://arxiv.org/abs/1903.01298v1
• [cs.LG]Graph Neural Networks for Modelling Traffic Participant Interaction
Frederik Diehl, Thomas Brunner, Michael Truong Le, Alois Knoll
http://arxiv.org/abs/1903.01254v1
• [cs.LG]GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding
Zhaocheng Zhu, Shizhen Xu, Meng Qu, Jian Tang
http://arxiv.org/abs/1903.00757v1
• [cs.LG]Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space
Zhou Fan, Rui Su, Weinan Zhang, Yong Yu
http://arxiv.org/abs/1903.01344v1
• [cs.LG]JIM: Joint Influence Modeling for Collective Search Behavior
Shubhra Kanti Karmaker Santu, Liangda Li, Yi Chang, ChengXiang Zhai
http://arxiv.org/abs/1903.00562v1
• [cs.LG]Learning low-precision neural networks without Straight-Through Estimator(STE)
Zhi-Gang Liu, Matthew Mattina
http://arxiv.org/abs/1903.01061v1
• [cs.LG]Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
Giulia Luise, Dimitris Stamos, Massimiliano Pontil, Carlo Ciliberto
http://arxiv.org/abs/1903.00667v1
• [cs.LG]Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm
Fei Wen, Rendong Ying, Peilin Liu, Trieu-Kien Truong
http://arxiv.org/abs/1903.00702v1
• [cs.LG]Multiple Learning for Regression in big data
Xiang Liu, Ziyang Tang, Huyunting Huang, Tonglin Zhang, Baijian Yang
http://arxiv.org/abs/1903.00843v1
• [cs.LG]NoRML: No-Reward Meta Learning
Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn
http://arxiv.org/abs/1903.01063v1
• [cs.LG]One-Pass Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
http://arxiv.org/abs/1903.00637v1
• [cs.LG]Optimizing Object-based Perception and Control by Free-Energy Principle
Minne Li, Pranav Nashikkar, Jun Wang
http://arxiv.org/abs/1903.01385v1
• [cs.LG]PuVAE: A Variational Autoencoder to Purify Adversarial Examples
Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
http://arxiv.org/abs/1903.00585v1
• [cs.LG]Robust commuter movement inference from connected mobile devices
Baoyang Song, Hasan Poonawala, Laura Wynter, Sebastien Blandin
http://arxiv.org/abs/1903.01045v1
• [cs.LG]Scaling up budgeted reinforcement learning
Nicolas Carrara, Edouard Leurent, Romain Laroche, Tanguy Urvoy, Odalric Maillard, Olivier Pietquin
http://arxiv.org/abs/1903.01004v1
• [cs.LG]Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection
Xuhong Wang, Ying Du, Shijie Lin, Ping Cui, Yupu Yang
http://arxiv.org/abs/1903.00904v1
• [cs.LG]Speech Recognition with no speech or with noisy speech
Gautam Krishna, Co Tran, Jianguo Yu, Ahmed H Tewfik
http://arxiv.org/abs/1903.00739v1
• [cs.LG]Stability of decision trees and logistic regression
Nino Arsov, Martin Pavlovski, Ljupco Kocarev
http://arxiv.org/abs/1903.00816v1
• [cs.LG]Stochastic Online Learning with Probabilistic Graph Feedback
Shuai Li, Wei Chen, Zheng Wen, Kwong-Sak Leung
http://arxiv.org/abs/1903.01083v1
• [cs.LG]Time-Delay Momentum: A Regularization Perspective on the Convergence and Generalization of Stochastic Momentum for Deep Learning
Ziming Zhang, Wenju Xu, Alan Sullivan
http://arxiv.org/abs/1903.00760v1
• [cs.LG]Ultra-Scalable Spectral Clustering and Ensemble Clustering
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
http://arxiv.org/abs/1903.01057v1
• [cs.LG]Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks
Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao
http://arxiv.org/abs/1903.00906v1
• [cs.LG]Variational Auto-Decoder: Neural Generative Modeling from Partial Data
Amir Zadeh, Yao-Chong Lim, Paul Pu Liang, Louis-Philippe Morency
http://arxiv.org/abs/1903.00840v1
• [cs.LO]Differentiable Causal Computations via Delayed Trace
David Sprunger, Shin-ya Katsumata
http://arxiv.org/abs/1903.01093v1
• [stat.CO]Bernoulli Race Particle Filters
Sebastian M Schmon, Arnaud Doucet, George Deligiannidis
http://arxiv.org/abs/1903.00939v1
• [stat.CO]Scalable optimization-based sampling on function space
Zheng Wang, Tiangang Cui, Johnathan Bardsley, Youssef Marzouk
http://arxiv.org/abs/1903.00870v1
• [stat.CO]Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
Evelyn Buckwar, Massimiliano Tamborrino, Irene Tubikanec
http://arxiv.org/abs/1903.01138v1
• [stat.ME]A functional-model-adjusted spatial scan statistic
Michael Genin, Mohamed-Salem Ahmed
http://arxiv.org/abs/1903.01130v1
• [stat.ME]An Empirical Bayes Method for Chi-Squared Data
Lilun Du, Inchi Hu
http://arxiv.org/abs/1903.00776v1
• [stat.ME]Detection of latent heteroscedasticity and group-based regression effects in linear models via Bayesian model selection
Thomas A. Metzger, Christopher T. Franck
http://arxiv.org/abs/1903.01035v1
• [stat.ME]On genetic correlation estimation with summary statistics from genome-wide association studies
Bingxin Zhao, Hongtu Zhu
http://arxiv.org/abs/1903.01301v1
• [stat.ME]Sequential estimation for GEE with adaptive variables and subject selection
Zimu Chen, Zhanfeng Wang, Yuan-chin Ivan Chang
http://arxiv.org/abs/1903.00593v1
• [stat.ME]Simulation study of estimating between-study variance and overall effect in meta-analysis of standardized mean difference
Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya
http://arxiv.org/abs/1903.01362v1
• [stat.ML]A Unified Framework for Regularized Reinforcement Learning
Xiang Li, Wenhao Yang, Zhihua Zhang
http://arxiv.org/abs/1903.00725v1
• [stat.ML]Anytime Online-to-Batch Conversions, Optimism, and Acceleration
Ashok Cutkosky
http://arxiv.org/abs/1903.00974v1
• [stat.ML]Approximation Properties of Variational Bayes for Vector Autoregressions
Reza Hajargasht
http://arxiv.org/abs/1903.00617v1
• [stat.ML]Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference
Kelvin Hsu, Fabio Ramos
http://arxiv.org/abs/1903.00863v1
• [stat.ML]Classification via local manifold approximation
Didong Li, David B Dunson
http://arxiv.org/abs/1903.00985v1
• [stat.ML]Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks
Jonas Rothfuss, Fabio Ferreira, Simon Walther, Maxim Ulrich
http://arxiv.org/abs/1903.00954v1
• [stat.ML]Database Alignment with Gaussian Features
Osman Emre Dai, Daniel Cullina, Negar Kiyavash
http://arxiv.org/abs/1903.01422v1
• [stat.ML]Introducing Super Pseudo Panels: Application to Transport Preference Dynamics
Stanislav S. Borysov, Jeppe Rich
http://arxiv.org/abs/1903.00516v1
• [stat.ML]Lexicographically Ordered Multi-Objective Clustering
Sainyam Galhotra, Sandhya Saisubramanian, Shlomo Zilberstein
http://arxiv.org/abs/1903.00750v1
• [stat.ML]Optimistic Adaptive Acceleration for Optimization
Jun-Kun Wang, Xiaoyun Li, Ping Li
http://arxiv.org/abs/1903.01435v1
• [stat.ML]Quantitative Robustness of Localized Support Vector Machines
Florian Dumpert
http://arxiv.org/abs/1903.01334v1
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