cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.GR - 计算机图形学
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SI - 社交网络与信息网络
eess.AS - 语音处理
eess.SP - 信号处理
math.OC - 优化与控制
math.ST - 统计理论
quant-ph - 量子物理
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
• [cs.AI]Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
• [cs.AI]Efficient Search-Based Weighted Model Integration
• [cs.AI]Iterated two-phase local search for the Set-Union Knapsack Problem
• [cs.AI]MMKG: Multi-Modal Knowledge Graphs
• [cs.CL]"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses
• [cs.CL]Adversarial attacks against Fact Extraction and VERification
• [cs.CL]Benchmarking Natural Language Understanding Services for building Conversational Agents
• [cs.CL]Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo
• [cs.CL]Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification
• [cs.CL]End-To-End Speech Recognition Using A High Rank LSTM-CTC Based Model
• [cs.CL]GASC: Genre-Aware Semantic Change for Ancient Greek
• [cs.CL]Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
• [cs.CL]Overview of the Ugglan Entity Discovery and Linking System
• [cs.CL]Persona-Aware Tips Generation
• [cs.CL]Practical Semantic Parsing for Spoken Language Understanding
• [cs.CL]Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
• [cs.CL]Sub-event detection from Twitter streams as a sequence labeling problem
• [cs.CL]Syntax-aware Neural Semantic Role Labeling with Supertags
• [cs.CL]Topological Analysis of Syntactic Structures
• [cs.CL]Transforma at SemEval-2019 Task 6: Offensive Language Analysis using Deep Learning Architecture
• [cs.CR]Learning Symmetric and Asymmetric Steganography via Adversarial Training
• [cs.CR]SoK - Security and Privacy in the Age of Drones: Threats, Challenges, Solution Mechanisms, and Scientific Gaps
• [cs.CV]All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
• [cs.CV]An End-to-End Network for Panoptic Segmentation
• [cs.CV]CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation
• [cs.CV]Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation
• [cs.CV]Depth Coefficients for Depth Completion
• [cs.CV]Dual Residual Network for Accurate Human Activity Recognition
• [cs.CV]Face Liveness Detection Based on Client Identity Using Siamese Network
• [cs.CV]Hardness-Aware Deep Metric Learning
• [cs.CV]Hyperspectral Data Augmentation
• [cs.CV]Learning Feature Aggregation in Temporal Domain for Re-Identification
• [cs.CV]LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas
• [cs.CV]Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
• [cs.CV]Privacy Preserving Image-Based Localization
• [cs.CV]RVOS: End-to-End Recurrent Network for Video Object Segmentation
• [cs.CV]Towards Accurate Camera Geopositioning by Image Matching
• [cs.CV]Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary
• [cs.CV]Tracking without bells and whistles
• [cs.CV]Two-Stream Oriented Video Super-Resolution for Action Recognition
• [cs.CV]Universally Slimmable Networks and Improved Training Techniques
• [cs.CV]Unsupervised Discovery of Parts, Structure, and Dynamics
• [cs.CV]Visual Semantic Information Pursuit: A Survey
• [cs.CY]Empirical analysis of the variability in the flow-density relationship for smart motorways
• [cs.CY]Evaluating the Contextual Integrity of Privacy Regulation: Parents' IoT Toy Privacy Norms Versus COPPA
• [cs.CY]Improving the quality of healthcare through Internet of Things
• [cs.CY]Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams
• [cs.CY]Teaching Programming Concepts by Developing Games
• [cs.DC]An Integrated P2P Framework for E-Learning
• [cs.DC]Asynchronous Federated Optimization
• [cs.DC]Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling
• [cs.GR]A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments
• [cs.IR]SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators
• [cs.IT]Age-of-Information vs. Value-of-Information Scheduling for Cellular Networked Control Systems
• [cs.IT]Construction of Isodual Quasi-cyclic Codes over Finite Fields
• [cs.IT]MDS codes over finite fields
• [cs.IT]New Characterizations for the Multi-output Correlation-Immune Boolean Functions
• [cs.IT]Secure and Efficient Compressed Sensing Based Encryption With Sparse Matrices
• [cs.IT]Squares of Matrix-product Codes
• [cs.IT]The Fourier Spectral Characterization for the Correlation-Immune Functions over Fp
• [cs.LG]A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction
• [cs.LG]A Review of Reinforcement Learning for Autonomous Building Energy Management
• [cs.LG]A Sequential Set Generation Method for Predicting Set-Valued Outputs
• [cs.LG]Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy
• [cs.LG]AutoML @ NeurIPS 2018 challenge: Design and Results
• [cs.LG]Confident Kernel Sparse Coding and Dictionary Learning
• [cs.LG]DREAM-NAP: Decay Replay Mining to Predict Next Process Activities
• [cs.LG]DeepCount: Crowd Counting with WiFi via Deep Learning
• [cs.LG]DeepOBS: A Deep Learning Optimizer Benchmark Suite
• [cs.LG]Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning
• [cs.LG]Improving Transparency of Deep Neural Inference Process
• [cs.LG]Learning Gaussian Policies from Corrective Human Feedback
• [cs.LG]Non-Negative Local Sparse Coding for Subspace Clustering
• [cs.LG]On the Pitfalls of Measuring Emergent Communication
• [cs.LG]Online Budgeted Learning for Classifier Induction
• [cs.LG]Personal Dynamic Cost-Aware Sensing for Latent Context Detection
• [cs.LG]Richness of Deep Echo State Network Dynamics
• [cs.LG]ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
• [cs.LG]Task-oriented Design through Deep Reinforcement Learning
• [cs.LG]What relations are reliably embeddable in Euclidean space?
• [cs.LG]Zero-shot Domain Adaptation Based on Attribute Information
• [cs.MA]Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems
• [cs.NE]Effective reinforcement learning based local search for the maximum k-plex problem
• [cs.NE]NeuroCore: Guiding CDCL with Unsat-Core Predictions
• [cs.RO]A Framework for On-line Learning of Underwater Vehicles Dynamic Models
• [cs.RO]A Path Planning Framework for a Flying Robot in Close Proximity of Humans
• [cs.RO]A Sliding Mode Force and Position Controller Synthesis for Series Elastic Actuators
• [cs.RO]Arithmetic-Geometric Mean Robustness for Control from Signal Temporal Logic Specifications
• [cs.RO]Automated Construction of Metric Maps using a Stochastic Robotic Swarm Leveraging Received Signal Strength
• [cs.RO]Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
• [cs.RO]Exploiting Symmetries to Design EKFs with Consistency Properties for Navigation and SLAM
• [cs.RO]Hypothesis-based Belief Planning for Dexterous Grasping
• [cs.RO]STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots
• [cs.RO]Search-based 3D Planning and Trajectory Optimization for Safe Micro Aerial Vehicle Flight Under Sensor Visibility Constraints
• [cs.RO]Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
• [cs.SI]Learning Resolution Parameters for Graph Clustering
• [eess.AS]Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
• [eess.SP]Accessing From The Sky: A Tutorial on UAV Communications for 5G and Beyond
• [eess.SP]An Accurate Sample Rejection Estimator for the Estimation of Outage Probability of EGC Receivers
• [math.OC]Computational Bayes-Predictive Stochastic Programming: Finite Sample Bound
• [math.OC]Novel Approach Towards Global Optimality of Optimal Power Flow Using Quadratic Convex Optimization
• [math.ST]Dimension reduction as an optimization problem over a set of generalized functions
• [math.ST]Matrix factorization for multivariate time series analysis
• [math.ST]The Log-Concave Maximum Likelihood Estimator is Optimal in High Dimensions
• [quant-ph]An Analytic Semi-device-independent Entanglement Quantification for Bipartite Quantum States
• [stat.AP]Better-than-expert detection of early coronary artery occlusion from 12 lead electrocardiograms using deep learning
• [stat.AP]Nonparametric estimation and bootstrap inference on trends in atmospheric time series: an application to ethane
• [stat.CO]A novel Bayesian approach for variable selection in linear regression models
• [stat.ME]Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data
• [stat.ME]Neyman-Pearson Criterion (NPC): A Model Selection Criterion for Asymmetric Binary Classification
• [stat.ME]Simultaneous Confidence Band for Stationary Covariance Function of Dense Functional Data
• [stat.ML]An Exponential Efron-Stein Inequality for Lq Stable Learning Rules
• [stat.ML]Continual Learning in Practice
• [stat.ML]Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
• [stat.ML]Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms
• [stat.ML]Transmission Matrix Inference via Pseudolikelihood Decimation
• [stat.ML]Unbiased Measurement of Feature Importance in Tree-Based Methods
• [stat.ML]Variational Estimators for Bayesian Optimal Experimental Design
·····································
• [cs.AI]Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls
http://arxiv.org/abs/1903.05614v1
• [cs.AI]Efficient Search-Based Weighted Model Integration
Zhe Zeng, Guy Van den Broeck
http://arxiv.org/abs/1903.05334v1
• [cs.AI]Iterated two-phase local search for the Set-Union Knapsack Problem
Zequn Wei, Jin-Kao Hao
http://arxiv.org/abs/1903.04966v2
• [cs.AI]MMKG: Multi-Modal Knowledge Graphs
Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum
http://arxiv.org/abs/1903.05485v1
• [cs.CL]"Hang in There": Lexical and Visual Analysis to Identify Posts Warranting Empathetic Responses
Mimansa Jaiswal, Sairam Tabibu, Erik Cambria
http://arxiv.org/abs/1903.05210v1
• [cs.CL]Adversarial attacks against Fact Extraction and VERification
James Thorne, Andreas Vlachos
http://arxiv.org/abs/1903.05543v1
• [cs.CL]Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski, Verena Rieser
http://arxiv.org/abs/1903.05566v1
• [cs.CL]Bootstrapping Method for Developing Part-of-Speech Tagged Corpus in Low Resource Languages Tagset - A Focus on an African Igbo
Onyenwe Ikechukwu E, Onyedinma Ebele G, Aniegwu Godwin E, Ezeani Ignatius M
http://arxiv.org/abs/1903.05225v1
• [cs.CL]Contextualised concept embedding for efficiently adapting natural language processing models for phenotype identification
Honghan Wu, Karen Hodgson, Sue Dyson, Katherine I. Morley, Zina M. Ibrahim, Ehtesham Iqbal, Robert Stewart, Richard JB Dobson, Cathie Sudlow
http://arxiv.org/abs/1903.03995v2
• [cs.CL]End-To-End Speech Recognition Using A High Rank LSTM-CTC Based Model
Yangyang Shi, Mei-Yuh Hwang, Xin Lei
http://arxiv.org/abs/1903.05261v1
• [cs.CL]GASC: Genre-Aware Semantic Change for Ancient Greek
Valerio Perrone, Marco Palma, Simon Hengchen, Alessandro Vatri, Jim Q. Smith, Barbara McGillivray
http://arxiv.org/abs/1903.05587v1
• [cs.CL]Market Trend Prediction using Sentiment Analysis: Lessons Learned and Paths Forward
Andrius Mudinas, Dell Zhang, Mark Levene
http://arxiv.org/abs/1903.05440v1
• [cs.CL]Overview of the Ugglan Entity Discovery and Linking System
Marcus Klang, Firas Dib, Pierre Nugues
http://arxiv.org/abs/1903.05498v1
• [cs.CL]Persona-Aware Tips Generation
Piji Li, Zihao Wang, Lidong Bing, Wai Lam
http://arxiv.org/abs/1903.02156v2
• [cs.CL]Practical Semantic Parsing for Spoken Language Understanding
Marco Damonte, Rahul Goel, Tagyoung Chung
http://arxiv.org/abs/1903.04521v2
• [cs.CL]Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen, Lambert Mathias
http://arxiv.org/abs/1903.05164v1
• [cs.CL]Sub-event detection from Twitter streams as a sequence labeling problem
Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder
http://arxiv.org/abs/1903.05396v1
• [cs.CL]Syntax-aware Neural Semantic Role Labeling with Supertags
Jungo Kasai, Dan Friedman, Robert Frank, Dragomir Radev, Owen Rambow
http://arxiv.org/abs/1903.05260v1
• [cs.CL]Topological Analysis of Syntactic Structures
Alexander Port, Taelin Karidi, Matilde Marcolli
http://arxiv.org/abs/1903.05181v1
• [cs.CL]Transforma at SemEval-2019 Task 6: Offensive Language Analysis using Deep Learning Architecture
Ryan Ong
http://arxiv.org/abs/1903.05280v1
• [cs.CR]Learning Symmetric and Asymmetric Steganography via Adversarial Training
Zheng Li, Ge Han, Yunqing Wei, Shanqing Guo
http://arxiv.org/abs/1903.05297v1
• [cs.CR]SoK - Security and Privacy in the Age of Drones: Threats, Challenges, Solution Mechanisms, and Scientific Gaps
Ben Nassi, Asaf Shabtai, Ryusuke Masuoka, Yuval Elovici
http://arxiv.org/abs/1903.05155v1
• [cs.CV]All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu
http://arxiv.org/abs/1903.05285v1
• [cs.CV]An End-to-End Network for Panoptic Segmentation
Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
http://arxiv.org/abs/1903.05027v2
• [cs.CV]CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation
Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng
http://arxiv.org/abs/1903.05358v1
• [cs.CV]Connection Sensitive Attention U-NET for Accurate Retinal Vessel Segmentation
Ruirui Li, Mingming Li, Jiacheng Li
http://arxiv.org/abs/1903.05558v1
• [cs.CV]Depth Coefficients for Depth Completion
Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris
http://arxiv.org/abs/1903.05421v1
• [cs.CV]Dual Residual Network for Accurate Human Activity Recognition
Jun Long, WuQing Sun, Zhan Yang, Osolo Ian Raymond, Bin Li
http://arxiv.org/abs/1903.05359v1
• [cs.CV]Face Liveness Detection Based on Client Identity Using Siamese Network
Huiling Hao, Mingtao Pei
http://arxiv.org/abs/1903.05369v1
• [cs.CV]Hardness-Aware Deep Metric Learning
Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou
http://arxiv.org/abs/1903.05503v1
• [cs.CV]Hyperspectral Data Augmentation
Jakub Nalepa, Michal Myller, Michal Kawulok
http://arxiv.org/abs/1903.05580v1
• [cs.CV]Learning Feature Aggregation in Temporal Domain for Re-Identification
Jakub Špaňhel, Jakub Sochor, Roman Juránek, Petr Dobeš, Vojtěch Bartl, Adam Herout
http://arxiv.org/abs/1903.05244v1
• [cs.CV]LiDAR-assisted Large-scale Privacy Protection in Street-view Cycloramas
Clint Sebastian, Bas Boom, Egor Bondarev, Peter H. N. de With
http://arxiv.org/abs/1903.05598v1
• [cs.CV]Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang
http://arxiv.org/abs/1903.05628v1
• [cs.CV]Privacy Preserving Image-Based Localization
Pablo Speciale, Johannes L. Schönberger, Sing Bing Kang, Sudipta N. Sinha, Marc Pollefeys
http://arxiv.org/abs/1903.05572v1
• [cs.CV]RVOS: End-to-End Recurrent Network for Video Object Segmentation
Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto
http://arxiv.org/abs/1903.05612v1
• [cs.CV]Towards Accurate Camera Geopositioning by Image Matching
Raffaele Imbriaco, Clint Sebastian, Egor Bondarev, Peter de With
http://arxiv.org/abs/1903.05454v1
• [cs.CV]Towards Unsupervised Cancer Subtyping: Predicting Prognosis Using A Histologic Visual Dictionary
Hassan Muhammad, Carlie S. Sigel, Gabriele Campanella, Thomas Boerner, Linda M. Pak, Stefan Büttner, Jan N. M. IJzermans, Bas Groot Koerkamp, Michael Doukas, William R. Jarnagin, Amber Simpson, Thomas J. Fuchs
http://arxiv.org/abs/1903.05257v1
• [cs.CV]Tracking without bells and whistles
Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixe
http://arxiv.org/abs/1903.05625v1
• [cs.CV]Two-Stream Oriented Video Super-Resolution for Action Recognition
Haochen Zhang, Dong Liu, Zhiwei Xiong
http://arxiv.org/abs/1903.05577v1
• [cs.CV]Universally Slimmable Networks and Improved Training Techniques
Jiahui Yu, Thomas Huang
http://arxiv.org/abs/1903.05134v1
• [cs.CV]Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu, Zhijian Liu, Chen Sun, Kevin Murphy, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu
http://arxiv.org/abs/1903.05136v1
• [cs.CV]Visual Semantic Information Pursuit: A Survey
Daqi Liu, Miroslaw Bober, Josef Kittler
http://arxiv.org/abs/1903.05434v1
• [cs.CY]Empirical analysis of the variability in the flow-density relationship for smart motorways
Kieran Kalair, Colm Connaughton
http://arxiv.org/abs/1903.05112v1
• [cs.CY]Evaluating the Contextual Integrity of Privacy Regulation: Parents' IoT Toy Privacy Norms Versus COPPA
Noah Apthorpe, Sarah Varghese, Nick Feamster
http://arxiv.org/abs/1903.05152v1
• [cs.CY]Improving the quality of healthcare through Internet of Things
Cornel Turcu, Cristina Turcu
http://arxiv.org/abs/1903.05221v1
• [cs.CY]Lost Silence: An emergency response early detection service through continuous processing of telecommunication data streams
Qianru Zhou, Stephen McLaughlin, Alasdair J. G. Gray, Shangbin Wu, Chengxiang Wang
http://arxiv.org/abs/1903.05372v1
• [cs.CY]Teaching Programming Concepts by Developing Games
Kailash Chandra, Shyamal Suhana Chandra
http://arxiv.org/abs/1903.05207v1
• [cs.DC]An Integrated P2P Framework for E-Learning
Nikita Bhagatkar, Kapil Dolas, R. K. Ghosh
http://arxiv.org/abs/1903.05474v1
• [cs.DC]Asynchronous Federated Optimization
Cong Xie, Sanmi Koyejo, Indranil Gupta
http://arxiv.org/abs/1903.03934v2
• [cs.DC]Power-Performance Tradeoffs in Data Center Servers: DVFS, CPU pinning, Horizontal, and Vertical Scaling
Jakub Krzywda, Ahmed Ali-Eldin, Trevor E. Carlson, Per-Olov Östberg, Erik Elmroth
http://arxiv.org/abs/1903.05488v1
• [cs.GR]A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, John Alejandro Castro-Vargas, Sergio Orts-Escolano, Jose Garcia-Rodriguez
http://arxiv.org/abs/1903.05238v1
• [cs.IR]SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators
Panayiotis Smeros, Carlos Castillo, Karl Aberer
http://arxiv.org/abs/1903.05538v1
• [cs.IT]Age-of-Information vs. Value-of-Information Scheduling for Cellular Networked Control Systems
Onur Ayan, Mikhail Vilgelm, Markus Klügel, Sandra Hirche, Wolfgang Kellerer
http://arxiv.org/abs/1903.05356v1
• [cs.IT]Construction of Isodual Quasi-cyclic Codes over Finite Fields
Fatma-Zahra Benahmed, Kenza Guenda, Aicha Batoul, T. Aaron Gulliver
http://arxiv.org/abs/1903.04911v1
• [cs.IT]MDS codes over finite fields
Ted Hurley
http://arxiv.org/abs/1903.05265v1
• [cs.IT]New Characterizations for the Multi-output Correlation-Immune Boolean Functions
Jinjin Chai, Zilong Wang, Guang Gong
http://arxiv.org/abs/1903.05351v1
• [cs.IT]Secure and Efficient Compressed Sensing Based Encryption With Sparse Matrices
Wonwoo Cho, Nam Yul Yu
http://arxiv.org/abs/1903.05436v1
• [cs.IT]Squares of Matrix-product Codes
Ignacio Cascudo, Jaron Skovsted Gundersen, Diego Ruano
http://arxiv.org/abs/1903.05494v1
• [cs.IT]The Fourier Spectral Characterization for the Correlation-Immune Functions over Fp
Zilong Wang, Jinjin Chai, Guang Gong
http://arxiv.org/abs/1903.05350v1
• [cs.LG]A Distributed Hierarchical SGD Algorithm with Sparse Global Reduction
Fan Zhou, Guojing Cong
http://arxiv.org/abs/1903.05133v1
• [cs.LG]A Review of Reinforcement Learning for Autonomous Building Energy Management
Karl Mason, Santiago Grijalva
http://arxiv.org/abs/1903.05196v1
• [cs.LG]A Sequential Set Generation Method for Predicting Set-Valued Outputs
Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock
http://arxiv.org/abs/1903.05153v1
• [cs.LG]Augment-Reinforce-Merge Policy Gradient for Binary Stochastic Policy
Yunhao Tang, Mingzhang Yin, Mingyuan Zhou
http://arxiv.org/abs/1903.05284v1
• [cs.LG]AutoML @ NeurIPS 2018 challenge: Design and Results
Hugo Jair Escalante, Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
http://arxiv.org/abs/1903.05263v1
• [cs.LG]Confident Kernel Sparse Coding and Dictionary Learning
Babak Hosseini, Barbara Hammer
http://arxiv.org/abs/1903.05219v1
• [cs.LG]DREAM-NAP: Decay Replay Mining to Predict Next Process Activities
Julian Theis, Houshang Darabi
http://arxiv.org/abs/1903.05084v1
• [cs.LG]DeepCount: Crowd Counting with WiFi via Deep Learning
Shangqing Liu, Yanchao Zhao, Fanggang Xue, Bing Chen, Xiang Chen
http://arxiv.org/abs/1903.05316v1
• [cs.LG]DeepOBS: A Deep Learning Optimizer Benchmark Suite
Frank Schneider, Lukas Balles, Philipp Hennig
http://arxiv.org/abs/1903.05499v1
• [cs.LG]Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning
Liam Li, Evan Sparks, Kevin Jamieson, Ameet Talwalkar
http://arxiv.org/abs/1903.05176v1
• [cs.LG]Improving Transparency of Deep Neural Inference Process
Hiroshi Kuwajima, Masayuki Tanaka, Masatoshi Okutomi
http://arxiv.org/abs/1903.05501v1
• [cs.LG]Learning Gaussian Policies from Corrective Human Feedback
Daan Wout, Jan Scholten, Carlos Celemin, Jens Kober
http://arxiv.org/abs/1903.05216v1
• [cs.LG]Non-Negative Local Sparse Coding for Subspace Clustering
Babak Hosseini, Barbara Hammer
http://arxiv.org/abs/1903.05239v1
• [cs.LG]On the Pitfalls of Measuring Emergent Communication
Ryan Lowe, Jakob Foerster, Y-Lan Boureau, Joelle Pineau, Yann Dauphin
http://arxiv.org/abs/1903.05168v1
• [cs.LG]Online Budgeted Learning for Classifier Induction
Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky
http://arxiv.org/abs/1903.05382v1
• [cs.LG]Personal Dynamic Cost-Aware Sensing for Latent Context Detection
Saar Tal, Bracha Shapira, Lior Rokach
http://arxiv.org/abs/1903.05376v1
• [cs.LG]Richness of Deep Echo State Network Dynamics
Claudio Gallicchio, Alessio Micheli
http://arxiv.org/abs/1903.05174v1
• [cs.LG]ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
Bing Yu, Haoteng Yin, Zhanxing Zhu
http://arxiv.org/abs/1903.05631v1
• [cs.LG]Task-oriented Design through Deep Reinforcement Learning
Junyoung Choi, Minsung Hyun, Nojun Kwak
http://arxiv.org/abs/1903.05271v1
• [cs.LG]What relations are reliably embeddable in Euclidean space?
Robi Bhattacharjee, Sanjoy Dasgupta
http://arxiv.org/abs/1903.05347v1
• [cs.LG]Zero-shot Domain Adaptation Based on Attribute Information
Masato Ishii, Takashi Takenouchi, Masashi Sugiyama
http://arxiv.org/abs/1903.05312v1
• [cs.MA]Resource Abstraction for Reinforcement Learning in Multiagent Congestion Problems
Kleanthis Malialis, Sam Devlin, Daniel Kudenko
http://arxiv.org/abs/1903.05431v1
• [cs.NE]Effective reinforcement learning based local search for the maximum k-plex problem
Yan Jin, John H. Drake, Una Benlic, Kun He
http://arxiv.org/abs/1903.05537v1
• [cs.NE]NeuroCore: Guiding CDCL with Unsat-Core Predictions
Daniel Selsam, Nikolaj Bjørner
http://arxiv.org/abs/1903.04671v2
• [cs.RO]A Framework for On-line Learning of Underwater Vehicles Dynamic Models
Bilal Wehbe, Marc Hildebrandt, Frank Kirchner
http://arxiv.org/abs/1903.05355v1
• [cs.RO]A Path Planning Framework for a Flying Robot in Close Proximity of Humans
Hyung-Jin Yoon, Christopher Widdowson, Thiago Marinho, Ranxiao Frances Wang, Naira Hovakimyan
http://arxiv.org/abs/1903.05156v1
• [cs.RO]A Sliding Mode Force and Position Controller Synthesis for Series Elastic Actuators
Emre Sariyildiz, Rahim Mutlu, Haoyong Yu
http://arxiv.org/abs/1903.05337v1
• [cs.RO]Arithmetic-Geometric Mean Robustness for Control from Signal Temporal Logic Specifications
Noushin Mehdipour, Cristian-Ioan Vasile, Calin Belta
http://arxiv.org/abs/1903.05186v1
• [cs.RO]Automated Construction of Metric Maps using a Stochastic Robotic Swarm Leveraging Received Signal Strength
Ragesh K. Ramachandran, Spring Berman
http://arxiv.org/abs/1903.05392v1
• [cs.RO]Cleaning tasks knowledge transfer between heterogeneous robots: a deep learning approach
Jaeseok Kim, Nino Cauli, Pedro Vicente, Bruno Damas, Alexandre Bernardino, José Santos-Victor, Filippo Cavallo
http://arxiv.org/abs/1903.05635v1
• [cs.RO]Exploiting Symmetries to Design EKFs with Consistency Properties for Navigation and SLAM
Martin Brossard, Axel Barrau, Silvère Bonnabel
http://arxiv.org/abs/1903.05384v1
• [cs.RO]Hypothesis-based Belief Planning for Dexterous Grasping
Claudio Zito, Valerio Ortenzi, Maxime Adjigble, Marek Kopicki, Rustam Stolkin, Jeremy L. Wyatt
http://arxiv.org/abs/1903.05517v1
• [cs.RO]STRATA: A Unified Framework for Task Assignments in Large Teams of Heterogeneous Robots
Harish Ravichandar, Kenneth Shaw, Sonia Chernova
http://arxiv.org/abs/1903.05149v1
• [cs.RO]Search-based 3D Planning and Trajectory Optimization for Safe Micro Aerial Vehicle Flight Under Sensor Visibility Constraints
Matthias Nieuwenhuisen, Sven Behnke
http://arxiv.org/abs/1903.05165v1
• [cs.RO]Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Adith Boloor, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang
http://arxiv.org/abs/1903.05157v1
• [cs.SI]Learning Resolution Parameters for Graph Clustering
Nate Veldt, David F. Gleich, Anthony Wirth
http://arxiv.org/abs/1903.05246v1
• [eess.AS]Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
Peidong Wang, Ke Tan, DeLiang Wang
http://arxiv.org/abs/1903.04567v2
• [eess.SP]Accessing From The Sky: A Tutorial on UAV Communications for 5G and Beyond
Yong Zeng, Qingqing Wu, Rui Zhang
http://arxiv.org/abs/1903.05289v1
• [eess.SP]An Accurate Sample Rejection Estimator for the Estimation of Outage Probability of EGC Receivers
Nadhir Ben Rached, Abla Kammoun, Mohamed-Slim Alouini, Raul Tempone
http://arxiv.org/abs/1903.05481v1
• [math.OC]Computational Bayes-Predictive Stochastic Programming: Finite Sample Bound
Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao
http://arxiv.org/abs/1903.05220v1
• [math.OC]Novel Approach Towards Global Optimality of Optimal Power Flow Using Quadratic Convex Optimization
Hadrien Godard, Sourour Elloumi, Amélie Lambert, Jean Maeght, Manuel Ruiz
http://arxiv.org/abs/1903.05390v1
• [math.ST]Dimension reduction as an optimization problem over a set of generalized functions
Rustem Takhanov
http://arxiv.org/abs/1903.05083v1
• [math.ST]Matrix factorization for multivariate time series analysis
Pierre Alquier, Nicolas Marie
http://arxiv.org/abs/1903.05589v1
• [math.ST]The Log-Concave Maximum Likelihood Estimator is Optimal in High Dimensions
Yuval Dagan, Gil Kur
http://arxiv.org/abs/1903.05315v1
• [quant-ph]An Analytic Semi-device-independent Entanglement Quantification for Bipartite Quantum States
Zhaohui Wei
http://arxiv.org/abs/1903.05303v1
• [stat.AP]Better-than-expert detection of early coronary artery occlusion from 12 lead electrocardiograms using deep learning
Rob Brisk, Raymond R Bond. Dewar D Finlay, James McLaughlin, Alicja Piadlo, Stephen J Leslie, David E Gossman, Ian B A Menown, David J McEneaney
http://arxiv.org/abs/1903.04421v2
• [stat.AP]Nonparametric estimation and bootstrap inference on trends in atmospheric time series: an application to ethane
Marina Friedrich, Eric Beutner, Hanno Reuvers, Stephan Smeekes, Jean-Pierre Urbain, Whitney Bader, Bruno Franco, Bernard Lejeune, Emmanuel Mahieu
http://arxiv.org/abs/1903.05403v1
• [stat.CO]A novel Bayesian approach for variable selection in linear regression models
Konstantin Posch, Maximilian Arbeiter, Jürgen Pilz
http://arxiv.org/abs/1903.05367v1
• [stat.ME]Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data
Shu Yang, Jae Kwang Kim, Rui Song
http://arxiv.org/abs/1903.05212v1
• [stat.ME]Neyman-Pearson Criterion (NPC): A Model Selection Criterion for Asymmetric Binary Classification
Yiling Chen, Jingyi Jessica Li, Xin Tong
http://arxiv.org/abs/1903.05262v1
• [stat.ME]Simultaneous Confidence Band for Stationary Covariance Function of Dense Functional Data
Jiangyan Wang, Guanqun Cao, Li Wang, Lijian Yang
http://arxiv.org/abs/1903.05522v1
• [stat.ML]An Exponential Efron-Stein Inequality for Lq Stable Learning Rules
Karim Abou-Moustafa, Csaba Szepesvari
http://arxiv.org/abs/1903.05457v1
• [stat.ML]Continual Learning in Practice
Tom Diethe, Tom Borchert, Eno Thereska, Borja de Balle Pigem, Neil Lawrence
http://arxiv.org/abs/1903.05202v1
• [stat.ML]Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
http://arxiv.org/abs/1903.05594v1
• [stat.ML]Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms
Yan Wang, Xuelei Sherry Ni
http://arxiv.org/abs/1903.05535v1
• [stat.ML]Transmission Matrix Inference via Pseudolikelihood Decimation
Daniele Ancora, Luca Leuzzi
http://arxiv.org/abs/1903.05379v1
• [stat.ML]Unbiased Measurement of Feature Importance in Tree-Based Methods
Zhengze Zhou, Giles Hooker
http://arxiv.org/abs/1903.05179v1
• [stat.ML]Variational Estimators for Bayesian Optimal Experimental Design
Adam Foster, Martin Jankowiak, Eli Bingham, Paul Horsfall, Yee Whye Teh, Tom Rainforth, Noah Goodman
http://arxiv.org/abs/1903.05480v1
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