astro-ph.GA - 星系天体物理学

    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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 nlin.AO - 适应和自组织系统 physics.comp-ph - 计算物理学 physics.soc-ph - 物理学与社会 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

    • [astro-ph.GA]Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
    • [cs.AI]Approximate Causal Abstraction
    • [cs.AI]Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps
    • [cs.AI]Generalization of Dempster-Shafer theory: A complex belief function
    • [cs.AI]Generalization to Novel Objects using Prior Relational Knowledge
    • [cs.CL]A Corpus for Modeling User and Language Effects in Argumentation on Online Debating
    • [cs.CL]A Generative Model for Punctuation in Dependency Trees
    • [cs.CL]Compositional Semantic Parsing Across Graphbanks
    • [cs.CL]Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
    • [cs.CL]Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
    • [cs.CL]EmotionX-KU: BERT-Max based Contextual Emotion Classifier
    • [cs.CL]Exploring the Role of Prior Beliefs for Argument Persuasion
    • [cs.CL]Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
    • [cs.CL]Inducing Syntactic Trees from BERT Representations
    • [cs.CL]Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models
    • [cs.CL]Morphological Irregularity Correlates with Frequency
    • [cs.CL]PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
    • [cs.CL]Semantic expressive capacity with bounded memory
    • [cs.CL]Simple Natural Language Processing Tools for Danish
    • [cs.CL]The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation
    • [cs.CR]A Trust Architecture for Blockchain in IoT
    • [cs.CR]Identifying DNS-tunneled traffic with predictive models
    • [cs.CV]A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
    • [cs.CV]A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation
    • [cs.CV]A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection
    • [cs.CV]A shallow residual neural network to predict the visual cortex response
    • [cs.CV]Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches
    • [cs.CV]Automatically Extract the Semi-transparent Motion-blurred Hand from a Single Image
    • [cs.CV]CaDSS: Cataract Dataset for Semantic Segmentation
    • [cs.CV]Dealing with Topological Information within a Fully Convolutional Neural Network
    • [cs.CV]Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection
    • [cs.CV]Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence
    • [cs.CV]ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation
    • [cs.CV]Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
    • [cs.CV]Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
    • [cs.CV]Few-Shot Video Classification via Temporal Alignment
    • [cs.CV]Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation
    • [cs.CV]Loss Switching Fusion with Similarity Search for Video Classification
    • [cs.CV]Region Refinement Network for Salient Object Detection
    • [cs.CV]SpliceRadar: A Learned Method For Blind Image Forensics
    • [cs.CY]Artificial Intelligence: the global landscape of ethics guidelines
    • [cs.CY]Data Consortia
    • [cs.CY]Fairness criteria through the lens of directed acyclic graphical models
    • [cs.DC]DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain
    • [cs.DC]HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling
    • [cs.DC]Improved Distributed Approximation to Maximum Independent Set
    • [cs.DL]Improving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations
    • [cs.DS]A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree
    • [cs.DS]Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
    • [cs.DS]The Adversarial Robustness of Sampling
    • [cs.GR]ORRB — OpenAI Remote Rendering Backend
    • [cs.GR]Optimizing for Aesthetically Pleasing Quadrotor Camera Motion
    • [cs.HC]Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals
    • [cs.HC]User Validation of Recommendation Serendipity Metrics
    • [cs.IR]A Simple Deep Personalized Recommendation System
    • [cs.IR]Re-ranking Based Diversification: A Unifying View
    • [cs.IR]Reducing Popularity Bias in Recommendation Over Time
    • [cs.IR]Representation Learning of Music Using Artist, Album, and Track Information
    • [cs.IR]Toward Simulating Environments in Reinforcement Learning Based Recommendations
    • [cs.IT]Array Codes with Local Properties
    • [cs.IT]On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO
    • [cs.IT]On the Sparseness of Certain MRD Codes
    • [cs.IT]Private Information Retrieval with Private Coded Side Information: The Multi-Server Case
    • [cs.LG]A Survey on GANs for Anomaly Detection
    • [cs.LG]A Tractable Algorithm For Finite-Horizon Continuous Reinforcement Learning
    • [cs.LG]Accelerating Large-Kernel Convolution Using Summed-Area Tables
    • [cs.LG]Adversarial FDI Attack against AC State Estimation with ANN
    • [cs.LG]Adversarial Robustness via Adversarial Label-Smoothing
    • [cs.LG]Clustering by the way of atomic fission
    • [cs.LG]Curriculum Learning for Deep Generative Models with Clustering
    • [cs.LG]Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers
    • [cs.LG]ExTra: Transfer-guided Exploration
    • [cs.LG]Hyp-RL : Hyperparameter Optimization by Reinforcement Learning
    • [cs.LG]Latent Optimization for Non-adversarial Representation Disentanglement
    • [cs.LG]Learning Fair Representations for Kernel Models
    • [cs.LG]Mind2Mind : transfer learning for GANs
    • [cs.LG]Near Optimal Stratified Sampling
    • [cs.LG]No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
    • [cs.LG]One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
    • [cs.LG]Personalized Student Stress Prediction with Deep Multitask Network
    • [cs.LG]Regularized Hierarchical Policies for Compositional Transfer in Robotics
    • [cs.LG]Singular Value Decomposition and Neural Networks
    • [cs.LG]Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
    • [cs.LG]Uncertainty Estimates for Ordinal Embeddings
    • [cs.LG]User-Oriented Summaries Using a PSO Based Scoring Optimization Method
    • [cs.LG]Using Intuition from Empirical Properties to Simplify Adversarial Training Defense
    • [cs.NE]Evolving Robust Neural Architectures to Defend from Adversarial Attacks
    • [cs.NE]On improving deep learning generalization with adaptive sparse connectivity
    • [cs.NI]A Key 6G Challenge and Opportunity — Connecting the Remaining 4 Billions: A Survey on Rural Connectivity
    • [cs.NI]An Algorithm for Transmitting VR Video Based on Adaptive Modulation
    • [cs.NI]Capacity and Coverage Enhancement Using Long-Endurance Tethered Airborne Base Stations
    • [cs.NI]Security of 5G-Mobile Backhaul Networks: A Survey
    • [cs.RO]A Constant-Factor Approximation Algorithm for Online Coverage Path Planning with Energy Constraint
    • [cs.RO]Automatic Coverage Selection for Surface-Based Visual Localization
    • [cs.RO]Automatic Detection of Myocontrol Failures Based upon Situational Context Information
    • [cs.RO]DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints
    • [cs.RO]Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction
    • [cs.RO]Generative grasp synthesis from demonstration using parametric mixtures
    • [cs.RO]Methodology of Designing Multi-agent Robot Control Systems Utilising Hierarchical Petri Nets
    • [cs.RO]Modal-based Kinematics and Contact Detection of Soft Robots
    • [cs.RO]Multi-Robot Patrolling with Sensing Idleness and Data Delay Objectives
    • [cs.RO]Raven: Open Surgical Robotic Platforms
    • [cs.SI]Deception Strategies and Threats for Online Discussions
    • [cs.SI]Link weights recovery in heterogeneous information networks
    • [cs.SI]Reducing Spreading Processes on Networks to Markov Population Models
    • [eess.AS]RUSLAN: Russian Spoken Language Corpus for Speech Synthesis
    • [eess.IV]Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
    • [eess.IV]Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction
    • [eess.IV]Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images
    • [eess.IV]More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing
    • [eess.SP]A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameters Based Unsupervised Classification Scheme Using a Geodesic Distance
    • [eess.SP]Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving
    • [eess.SY]Approximate Dynamic Programming For Linear Systems with State and Input Constraints
    • [math.OC]A Tutorial on Concentration Bounds for System Identification
    • [math.OC]Bilinear Compressed Sensing under known Signs via Convex Programming
    • [math.OC]From self-tuning regulators to reinforcement learning and back again
    • [math.OC]High-Dimensional Optimization in Adaptive Random Subspaces
    • [math.PR]Correlators of Polynomial Processes
    • [math.ST]Empirical Process Results for Exchangeable Arrays
    • [math.ST]Rerandomization and Regression Adjustment
    • [math.ST]Statistically and Computationally Efficient Change Point Localization in Regression Settings
    • [math.ST]The exact form of the ‘Ockham factor’ in model selection
    • [nlin.AO]Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network
    • [physics.comp-ph]Deep neural network for Wannier function centers
    • [physics.soc-ph]Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models
    • [physics.soc-ph]Hypernetwork Science via High-Order Hypergraph Walks
    • [quant-ph]Reachability Deficits in Quantum Approximate Optimization
    • [stat.AP]A strategy for the matching of mobile phone signals with census data
    • [stat.AP]An anisotropic model for global climate data
    • [stat.AP]Detecting and classifying moments in basketball matches using sensor tracked data
    • [stat.AP]How response designs and class proportions affect the accuracy of validation data
    • [stat.AP]Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample
    • [stat.AP]Quality analysis in acyclic production networks
    • [stat.AP]Unsupervised Methods for Identifying Pass Coverage Among Defensive Backs with NFL Player Tracking Data
    • [stat.ME]A Simultaneous Transformation and Rounding Approach for Modeling Integer-Valued Data
    • [stat.ME]Estimation of treatment effects following a sequential trial of multiple treatments
    • [stat.ME]Interpretable Almost-Matching-Exactly With Instrumental Variables
    • [stat.ME]Selective Inference via Marginal Screening for High Dimensional Classification
    • [stat.ML]’In-Between’ Uncertainty in Bayesian Neural Networks
    • [stat.ML]A global approach for learning sparse Ising models
    • [stat.ML]Benign Overfitting in Linear Regression
    • [stat.ML]Deep Active Learning with Adaptive Acquisition
    • [stat.ML]Fast Training of Sparse Graph Neural Networks on Dense Hardware
    • [stat.ML]Hierarchical Data Reduction and Learning
    • [stat.ML]Hierarchical Optimal Transport for Multimodal Distribution Alignment
    • [stat.ML]Tuning-Free Disentanglement via Projection

    ·····································

    • [astro-ph.GA]Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
    Ryan Hausen, Brant Robertson
    http://arxiv.org/abs/1906.11248v1

    • [cs.AI]Approximate Causal Abstraction
    Sander Beckers, Frederick Eberhardt, Joseph Y. Halpern
    http://arxiv.org/abs/1906.11583v1

    • [cs.AI]Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps
    Osonde Osoba, Bart Kosko
    http://arxiv.org/abs/1906.11247v1

    • [cs.AI]Generalization of Dempster-Shafer theory: A complex belief function
    Fuyuan Xiao
    http://arxiv.org/abs/1906.11409v1

    • [cs.AI]Generalization to Novel Objects using Prior Relational Knowledge
    Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun Bansal
    http://arxiv.org/abs/1906.11315v1

    • [cs.CL]A Corpus for Modeling User and Language Effects in Argumentation on Online Debating
    Esin Durmus, Claire Cardie
    http://arxiv.org/abs/1906.11310v1

    • [cs.CL]A Generative Model for Punctuation in Dependency Trees
    Xiang Lisa Li, Dingquan Wang, Jason Eisner
    http://arxiv.org/abs/1906.11298v1

    • [cs.CL]Compositional Semantic Parsing Across Graphbanks
    Matthias Lindemann, Jonas Groschwitz, Alexander Koller
    http://arxiv.org/abs/1906.11746v1

    • [cs.CL]Determining Relative Argument Specificity and Stance for Complex Argumentative Structures
    Esin Durmus, Faisal Ladhak, Claire Cardie
    http://arxiv.org/abs/1906.11313v1

    • [cs.CL]Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis
    Junyi Du, He Jiang, Jiaming Shen, Xiang Ren
    http://arxiv.org/abs/1906.11384v1

    • [cs.CL]EmotionX-KU: BERT-Max based Contextual Emotion Classifier
    Kisu Yang, Dongyub Lee, Taesun Whang, Seolhwa Lee, Heuiseok Lim
    http://arxiv.org/abs/1906.11565v1

    • [cs.CL]Exploring the Role of Prior Beliefs for Argument Persuasion
    Esin Durmus, Claire Cardie
    http://arxiv.org/abs/1906.11301v1

    • [cs.CL]Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
    Suyoun Kim, Siddharth Dalmia, Florian Metze
    http://arxiv.org/abs/1906.11604v1

    • [cs.CL]Inducing Syntactic Trees from BERT Representations
    Rudolf Rosa, David Mareček
    http://arxiv.org/abs/1906.11511v1

    • [cs.CL]Lattice-Based Unsupervised Test-Time Adaptation of Neural Network Acoustic Models
    Ondrej Klejch, Joachim Fainberg, Peter Bell, Steve Renals
    http://arxiv.org/abs/1906.11521v1

    • [cs.CL]Morphological Irregularity Correlates with Frequency
    Shijie Wu, Ryan Cotterell, Timothy J. O’Donnell
    http://arxiv.org/abs/1906.11483v1

    • [cs.CL]PKUSEG: A Toolkit for Multi-Domain Chinese Word Segmentation
    Ruixuan Luo, Jingjing Xu, Yi Zhang, Xuancheng Ren, Xu Sun
    http://arxiv.org/abs/1906.11455v1

    • [cs.CL]Semantic expressive capacity with bounded memory
    Antoine Venant, Alexander Koller
    http://arxiv.org/abs/1906.11752v1

    • [cs.CL]Simple Natural Language Processing Tools for Danish
    Leon Derczynski
    http://arxiv.org/abs/1906.11608v1

    • [cs.CL]The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation
    Mai Oudah, Amjad Almahairi, Nizar Habash
    http://arxiv.org/abs/1906.11751v1

    • [cs.CR]A Trust Architecture for Blockchain in IoT
    Volkan Dedeoglu, Raja Jurdak, Guntur D. Putra, Ali Dorri, Salil S. Kanhere
    http://arxiv.org/abs/1906.11461v1

    • [cs.CR]Identifying DNS-tunneled traffic with predictive models
    Andreas Berg, Daniel Forsberg
    http://arxiv.org/abs/1906.11246v1

    • [cs.CV]A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
    Isaak Lim, Moritz Ibing, Leif Kobbelt
    http://arxiv.org/abs/1906.11478v1

    • [cs.CV]A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation
    Alberto Bailoni, Constantin Pape, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht
    http://arxiv.org/abs/1906.11713v1

    • [cs.CV]A New Benchmark Dataset for Texture Image Analysis and Surface Defect Detection
    Shervan Fekri-Ershad
    http://arxiv.org/abs/1906.11561v1

    • [cs.CV]A shallow residual neural network to predict the visual cortex response
    Anne-Ruth José Meijer, Arnoud Visser
    http://arxiv.org/abs/1906.11578v1

    • [cs.CV]Automatic Colon Polyp Detection using Region based Deep CNN and Post Learning Approaches
    Younghak Shin, Hemin Ali Qadir, Lars Aabakken, Jacob Bergsland, Ilangko Balasingham
    http://arxiv.org/abs/1906.11463v1

    • [cs.CV]Automatically Extract the Semi-transparent Motion-blurred Hand from a Single Image
    Xiaomei Zhao, Yihong Wu
    http://arxiv.org/abs/1906.11470v1

    • [cs.CV]CaDSS: Cataract Dataset for Semantic Segmentation
    Evangello Flouty, Abdolrahim Kadkhodamohammadi, Imanol Luengo, Felix Fuentes-Hurtado, Hinde Taleb, Santiago Barbarisi, Gwenole Quellec, Danail Stoyanov
    http://arxiv.org/abs/1906.11586v1

    • [cs.CV]Dealing with Topological Information within a Fully Convolutional Neural Network
    Etienne Decencière, Santiago Velasco-Forero, Fu Min, Juanjuan Chen, Hélène Burdin, Gervais Gauthier, Bruno Laÿ, Thomas Bornschloegl, Thérèse Baldeweck
    http://arxiv.org/abs/1906.11600v1

    • [cs.CV]Detection of small changes in medical and random-dot images comparing self-organizing map performance to human detection
    John Wandeto, Henry Nyongesa, Yves Remond, Birgitta Dresp-Langley
    http://arxiv.org/abs/1906.11675v1

    • [cs.CV]Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial Intelligence
    Andrew Elkins, Felipe F. Freitas, Veronica Sanz
    http://arxiv.org/abs/1906.11282v1

    • [cs.CV]ELKPPNet: An Edge-aware Neural Network with Large Kernel Pyramid Pooling for Learning Discriminative Features in Semantic Segmentation
    Xianwei Zheng, Linxi Huan, Hanjiang Xiong, Jianya Gong
    http://arxiv.org/abs/1906.11428v1

    • [cs.CV]Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
    Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov
    http://arxiv.org/abs/1906.11555v1

    • [cs.CV]Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
    Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman
    http://arxiv.org/abs/1906.11407v1

    • [cs.CV]Few-Shot Video Classification via Temporal Alignment
    Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
    http://arxiv.org/abs/1906.11415v1

    • [cs.CV]Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation
    Zhangxuan Gu, Li Niu, Liqing Zhang
    http://arxiv.org/abs/1906.11437v1

    • [cs.CV]Loss Switching Fusion with Similarity Search for Video Classification
    Lei Wang, Du Q. Huynh, Moussa Reda Mansour
    http://arxiv.org/abs/1906.11465v1

    • [cs.CV]Region Refinement Network for Salient Object Detection
    Zhuotao Tian, Hengshuang Zhao, Michelle Shu, Jiaze Wang, Ruiyu Li, Xiaoyong Shen, Jiaya Jia
    http://arxiv.org/abs/1906.11443v1

    • [cs.CV]SpliceRadar: A Learned Method For Blind Image Forensics
    Aurobrata Ghosh, Zheng Zhong, Terrance E Boult, Maneesh Singh
    http://arxiv.org/abs/1906.11663v1

    • [cs.CY]Artificial Intelligence: the global landscape of ethics guidelines
    Anna Jobin, Marcello Ienca, Effy Vayena
    http://arxiv.org/abs/1906.11668v1

    • [cs.CY]Data Consortia
    Eric Bax, John Donald, Melissa Gerber, Lisa Giaffo, Tanisha Sharma, Nikki Thompson, Kimberly Williams
    http://arxiv.org/abs/1906.11803v1

    • [cs.CY]Fairness criteria through the lens of directed acyclic graphical models
    Benjamin R. Baer, Daniel E. Gilbert, Martin T. Wells
    http://arxiv.org/abs/1906.11333v1

    • [cs.DC]DiPETrans: A Framework for Distributed Parallel Execution of Transactions of Blocks in Blockchain
    Baheti Shrey, Anjana Parwat Singh, Peri Sathya, Simmhan Yogesh
    http://arxiv.org/abs/1906.11721v1

    • [cs.DC]HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling
    Isabelly Rocha, Christian Göttel, Pascal Felber, Marcelo Pasin, Romain Rouvoy, Valerio Schiavoni
    http://arxiv.org/abs/1906.11321v1

    • [cs.DC]Improved Distributed Approximation to Maximum Independent Set
    Ken-ichi Kawarabayashi, Seri Khoury, Aaron Schild, Gregory Schwartzman
    http://arxiv.org/abs/1906.11524v1

    • [cs.DL]Improving Academic Plagiarism Detection for STEM Documents by Analyzing Mathematical Content and Citations
    Norman Meuschke, Vincent Stange, Moritz Schubotz, Michael Karmer, Bela Gipp
    http://arxiv.org/abs/1906.11761v1

    • [cs.DS]A Tight Analysis of Greedy Yields Subexponential Time Approximation for Uniform Decision Tree
    Ray Li, Percy Liang, Stephen Mussmann
    http://arxiv.org/abs/1906.11385v1

    • [cs.DS]Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
    Yihe Dong, Samuel B. Hopkins, Jerry Li
    http://arxiv.org/abs/1906.11366v1

    • [cs.DS]The Adversarial Robustness of Sampling
    Omri Ben-Eliezer, Eylon Yogev
    http://arxiv.org/abs/1906.11327v1

    • [cs.GR]ORRB — OpenAI Remote Rendering Backend
    Maciek Chociej, Peter Welinder, Lilian Weng
    http://arxiv.org/abs/1906.11633v1

    • [cs.GR]Optimizing for Aesthetically Pleasing Quadrotor Camera Motion
    Christoph Gebhardt, Stefan Stevsic, Otmar Hilliges
    http://arxiv.org/abs/1906.11686v1

    • [cs.HC]Airways: Optimization-Based Planning of Quadrotor Trajectories according to High-Level User Goals
    Christoph Gebhardt, Benjamin Hepp, Tobias Naegeli, Stefan Stevsic, Otmar Hilliges
    http://arxiv.org/abs/1906.11669v1

    • [cs.HC]User Validation of Recommendation Serendipity Metrics
    Li Chen, Ningxia Wang, Yonghua Yang, Keping Yang, Quan Yuan
    http://arxiv.org/abs/1906.11431v1

    • [cs.IR]A Simple Deep Personalized Recommendation System
    Pavlos Mitsoulis-Ntompos, Meisam Hejazinia, Serena Zhang, Travis Brady
    http://arxiv.org/abs/1906.11336v1

    • [cs.IR]Re-ranking Based Diversification: A Unifying View
    Shameem A Puthiya Parambath
    http://arxiv.org/abs/1906.11285v1

    • [cs.IR]Reducing Popularity Bias in Recommendation Over Time
    Himan Abdollahpouri, Robin Burke
    http://arxiv.org/abs/1906.11711v1

    • [cs.IR]Representation Learning of Music Using Artist, Album, and Track Information
    Jongpil Lee, Jiyoung Park, Juhan Nam
    http://arxiv.org/abs/1906.11783v1

    • [cs.IR]Toward Simulating Environments in Reinforcement Learning Based Recommendations
    Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang
    http://arxiv.org/abs/1906.11462v1

    • [cs.IT]Array Codes with Local Properties
    Mario Blaum, Steven R. Hetzler
    http://arxiv.org/abs/1906.11731v1

    • [cs.IT]On the Energy Efficiency of Limited-Backhaul Cell-Free Massive MIMO
    Manijeh Bashar, Kanapathippillai Cumanan, Alister G. Burr, Hien Quoc Ngo, Erik G. Larsson, Pei Xiao
    http://arxiv.org/abs/1906.11639v1

    • [cs.IT]On the Sparseness of Certain MRD Codes
    Heide Gluesing-Luerssen
    http://arxiv.org/abs/1906.11691v1

    • [cs.IT]Private Information Retrieval with Private Coded Side Information: The Multi-Server Case
    Fatemeh Kazemi, Esmaeil Karimi, Anoosheh Heidarzadeh, Alex Sprintson
    http://arxiv.org/abs/1906.11278v1

    • [cs.LG]A Survey on GANs for Anomaly Detection
    Federico Di Mattia, Paolo Galeone, Michele De Simoni, Emanuele Ghelfi
    http://arxiv.org/abs/1906.11632v1

    • [cs.LG]A Tractable Algorithm For Finite-Horizon Continuous Reinforcement Learning
    Phanideep Gampa, Sairam Satwik Kondamudi, Lakshmanan Kailasam
    http://arxiv.org/abs/1906.11245v1

    • [cs.LG]Accelerating Large-Kernel Convolution Using Summed-Area Tables
    Linguang Zhang, Maciej Halber, Szymon Rusinkiewicz
    http://arxiv.org/abs/1906.11367v1

    • [cs.LG]Adversarial FDI Attack against AC State Estimation with ANN
    Tian Liu, Tao Shu
    http://arxiv.org/abs/1906.11328v1

    • [cs.LG]Adversarial Robustness via Adversarial Label-Smoothing
    Morgane Goibert, Elvis Dohmatob
    http://arxiv.org/abs/1906.11567v1

    • [cs.LG]Clustering by the way of atomic fission
    Shizhan Lu
    http://arxiv.org/abs/1906.11416v1

    • [cs.LG]Curriculum Learning for Deep Generative Models with Clustering
    Deli Zhao, Jiapeng Zhu, Zhenfang Guo, Bo Zhang
    http://arxiv.org/abs/1906.11594v1

    • [cs.LG]Encoding Database Schemas with Relation-Aware Self-Attention for Text-to-SQL Parsers
    Richard Shin
    http://arxiv.org/abs/1906.11790v1

    • [cs.LG]ExTra: Transfer-guided Exploration
    Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra
    http://arxiv.org/abs/1906.11785v1

    • [cs.LG]Hyp-RL : Hyperparameter Optimization by Reinforcement Learning
    Hadi S. Jomaa, Josif Grabocka, Lars Schmidt-Thieme
    http://arxiv.org/abs/1906.11527v1

    • [cs.LG]Latent Optimization for Non-adversarial Representation Disentanglement
    Aviv Gabbay, Yedid Hoshen
    http://arxiv.org/abs/1906.11796v1

    • [cs.LG]Learning Fair Representations for Kernel Models
    Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar
    http://arxiv.org/abs/1906.11813v1

    • [cs.LG]Mind2Mind : transfer learning for GANs
    Yaël Frégier, Jean-Baptiste Gouray
    http://arxiv.org/abs/1906.11613v1

    • [cs.LG]Near Optimal Stratified Sampling
    Tiancheng Yu, Xiyu Zhai, Suvrit Sra
    http://arxiv.org/abs/1906.11289v1

    • [cs.LG]No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
    Max Vladymyrov
    http://arxiv.org/abs/1906.11389v1

    • [cs.LG]One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
    Matthew Halpern, Behzad Boroujerdian, Todd Mummert, Evelyn Duesterwald, Vijay Janapa Reddi
    http://arxiv.org/abs/1906.11307v1

    • [cs.LG]Personalized Student Stress Prediction with Deep Multitask Network
    Abhinav Shaw, Natcha Simsiri, Iman Deznaby, Madalina Fiterau, Tauhidur Rahaman
    http://arxiv.org/abs/1906.11356v1

    • [cs.LG]Regularized Hierarchical Policies for Compositional Transfer in Robotics
    Markus Wulfmeier, Abbas Abdolmaleki, Roland Hafner, Jost Tobias Springenberg, Michael Neunert, Tim Hertweck, Thomas Lampe, Noah Siegel, Nicolas Heess, Martin Riedmiller
    http://arxiv.org/abs/1906.11228v2

    • [cs.LG]Singular Value Decomposition and Neural Networks
    Bernhard Bermeitinger, Tomas Hrycej, Siegfried Handschuh
    http://arxiv.org/abs/1906.11755v1

    • [cs.LG]Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
    Klas Leino, Matt Fredrikson
    http://arxiv.org/abs/1906.11798v1

    • [cs.LG]Uncertainty Estimates for Ordinal Embeddings
    Michael Lohaus, Philipp Hennig, Ulrike von Luxburg
    http://arxiv.org/abs/1906.11655v1

    • [cs.LG]User-Oriented Summaries Using a PSO Based Scoring Optimization Method
    Augusto Villa-Monte, Laura Lanzarini, Aurelio F. Bariviera, José A. Olivas
    http://arxiv.org/abs/1906.11290v1

    • [cs.LG]Using Intuition from Empirical Properties to Simplify Adversarial Training Defense
    Guanxiong Liu, Issa Khalil, Abdallah Khreishah
    http://arxiv.org/abs/1906.11729v1

    • [cs.NE]Evolving Robust Neural Architectures to Defend from Adversarial Attacks
    Danilo Vasconcellos Vargas, Shashank Kotyan
    http://arxiv.org/abs/1906.11667v1

    • [cs.NE]On improving deep learning generalization with adaptive sparse connectivity
    Shiwei Liu, Decebal Constantin Mocanu, Mykola Pechenizkiy
    http://arxiv.org/abs/1906.11626v1

    • [cs.NI]A Key 6G Challenge and Opportunity — Connecting the Remaining 4 Billions: A Survey on Rural Connectivity
    Elias Yaacoub, Mohamed-Slim Alouini
    http://arxiv.org/abs/1906.11541v1

    • [cs.NI]An Algorithm for Transmitting VR Video Based on Adaptive Modulation
    Jie Feng, Yongpeng Wu, Guangtao Zhai, Ning Liu, Wenjun Zhang
    http://arxiv.org/abs/1906.11402v1

    • [cs.NI]Capacity and Coverage Enhancement Using Long-Endurance Tethered Airborne Base Stations
    Mustafa A. Kishk, Ahmed Bader, Mohamed-Slim Alouini
    http://arxiv.org/abs/1906.11559v1

    • [cs.NI]Security of 5G-Mobile Backhaul Networks: A Survey
    Gaurav Choudhary, Jiyoon Kim, Vishal Sharma
    http://arxiv.org/abs/1906.11427v1

    • [cs.RO]A Constant-Factor Approximation Algorithm for Online Coverage Path Planning with Energy Constraint
    Ayan Dutta, Gokarna Sharma
    http://arxiv.org/abs/1906.11750v1

    • [cs.RO]Automatic Coverage Selection for Surface-Based Visual Localization
    James Mount, Les Dawes, Michael Milford
    http://arxiv.org/abs/1906.11419v1

    • [cs.RO]Automatic Detection of Myocontrol Failures Based upon Situational Context Information
    Karoline Heiwolt, Claudio Zito, Markus Nowak, Claudio Castellini, Rustam Stolkin
    http://arxiv.org/abs/1906.11564v1

    • [cs.RO]DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints
    Liming Han, Yimin Lin, Guoguang Du, Shiguo Lian
    http://arxiv.org/abs/1906.11435v1

    • [cs.RO]Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human-Robot Interaction
    Sammy Christen, Stefan Stevsic, Otmar Hilliges
    http://arxiv.org/abs/1906.11695v1

    • [cs.RO]Generative grasp synthesis from demonstration using parametric mixtures
    Ermano Arruda, Claudio Zito, Mohan Sridharan, Marek Kopicki, Jeremy L. Wyatt
    http://arxiv.org/abs/1906.11548v1

    • [cs.RO]Methodology of Designing Multi-agent Robot Control Systems Utilising Hierarchical Petri Nets
    Maksym Figat, Cezary Zieliński
    http://arxiv.org/abs/1906.11614v1

    • [cs.RO]Modal-based Kinematics and Contact Detection of Soft Robots
    Yue Chen, Long Wang, Kevin Galloway, Isuru Godage, Nabil Simaan, Eric Barth
    http://arxiv.org/abs/1906.11654v1

    • [cs.RO]Multi-Robot Patrolling with Sensing Idleness and Data Delay Objectives
    Jürgen Scherer, Bernhard Rinner
    http://arxiv.org/abs/1906.11539v1

    • [cs.RO]Raven: Open Surgical Robotic Platforms
    Yangming Li, Blake Hannaford, Jacob Rosen
    http://arxiv.org/abs/1906.11747v1

    • [cs.SI]Deception Strategies and Threats for Online Discussions
    Onur Varol, Ismail Uluturk
    http://arxiv.org/abs/1906.11371v1

    • [cs.SI]Link weights recovery in heterogeneous information networks
    Hong-Lan Botterman, Robin Lamarche-Perrin
    http://arxiv.org/abs/1906.11727v1

    • [cs.SI]Reducing Spreading Processes on Networks to Markov Population Models
    Gerrit Großmann, Luca Bortolussi
    http://arxiv.org/abs/1906.11508v1

    • [eess.AS]RUSLAN: Russian Spoken Language Corpus for Speech Synthesis
    Lenar Gabdrakhmanov, Rustem Garaev, Evgenii Razinkov
    http://arxiv.org/abs/1906.11645v1

    • [eess.IV]Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
    Younghak Shin, Hemin Ali Qadir, Ilangko Balasingham
    http://arxiv.org/abs/1906.11467v1

    • [eess.IV]Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction
    Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato
    http://arxiv.org/abs/1906.11484v1

    • [eess.IV]Deep Siamese Multi-scale Convolutional Network for Change Detection in Multi-temporal VHR Images
    Hongruixuan Chen, Chen Wu, Bo Du, Liangpei Zhang
    http://arxiv.org/abs/1906.11479v1

    • [eess.IV]More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing
    Henry Kvinge, Elin Farnell, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler
    http://arxiv.org/abs/1906.11818v1

    • [eess.SP]A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameters Based Unsupervised Classification Scheme Using a Geodesic Distance
    Debanshu Ratha, Eric Pottier, Avik Bhattacharya, Alejandro C. Frery
    http://arxiv.org/abs/1906.11577v1

    • [eess.SP]Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving
    Siheng Chen, Sufeng. Niu, Tian Lan, Baoan Liu
    http://arxiv.org/abs/1906.11359v1

    • [eess.SY]Approximate Dynamic Programming For Linear Systems with State and Input Constraints
    Ankush Chakrabarty, Rien Quirynen, Claus Danielson, Weinan Gao
    http://arxiv.org/abs/1906.11369v1

    • [math.OC]A Tutorial on Concentration Bounds for System Identification
    Nikolai Matni, Stephen Tu
    http://arxiv.org/abs/1906.11395v1

    • [math.OC]Bilinear Compressed Sensing under known Signs via Convex Programming
    Alireza Aghasi, Ali Ahmed, Paul Hand, Babhru Joshi
    http://arxiv.org/abs/1906.11636v1

    • [math.OC]From self-tuning regulators to reinforcement learning and back again
    Nikolai Matni, Alexandre Proutiere, Anders Rantzer, Stephen Tu
    http://arxiv.org/abs/1906.11392v1

    • [math.OC]High-Dimensional Optimization in Adaptive Random Subspaces
    Jonathan Lacotte, Mert Pilanci, Marco Pavone
    http://arxiv.org/abs/1906.11809v1

    • [math.PR]Correlators of Polynomial Processes
    Fred Espen Benth, Silvia Lavagnini
    http://arxiv.org/abs/1906.11320v1

    • [math.ST]Empirical Process Results for Exchangeable Arrays
    Laurent Davezies, Xavier D’Haultfoeuille, Yannick Guyonvarch
    http://arxiv.org/abs/1906.11293v1

    • [math.ST]Rerandomization and Regression Adjustment
    Xinran Li, Peng Ding
    http://arxiv.org/abs/1906.11291v1

    • [math.ST]Statistically and Computationally Efficient Change Point Localization in Regression Settings
    Daren Wang, Kevin Lin, Rebecca Willett
    http://arxiv.org/abs/1906.11364v1

    • [math.ST]The exact form of the ‘Ockham factor’ in model selection
    Jonathan Rougier, Carey Priebe
    http://arxiv.org/abs/1906.11592v1

    • [nlin.AO]Repeated sequential learning increases memory capacity via effective decorrelation in a recurrent neural network
    Tomoki Kurikawa, Omri Barak, Kunihiko Kaneko
    http://arxiv.org/abs/1906.11770v1

    • [physics.comp-ph]Deep neural network for Wannier function centers
    Linfeng Zhang, Mohan Chen, Xifan Wu, Han Wang, Weinan E, Roberto Car
    http://arxiv.org/abs/1906.11434v1

    • [physics.soc-ph]Broken Detailed Balance and Non-Equilibrium Dynamics in Noisy Social Learning Models
    Tushar Vaidya, Thiparat Chotibut, Georgios Piliouras
    http://arxiv.org/abs/1906.11481v1

    • [physics.soc-ph]Hypernetwork Science via High-Order Hypergraph Walks
    Sinan G. Aksoy, Cliff Joslyn, Carlos Ortiz Marrero, Brenda Praggastis, Emilie Purvine
    http://arxiv.org/abs/1906.11295v1

    • [quant-ph]Reachability Deficits in Quantum Approximate Optimization
    V. Akshay, H. Philathong, M. E. S. Morales, J. Biamonte
    http://arxiv.org/abs/1906.11259v1

    • [stat.AP]A strategy for the matching of mobile phone signals with census data
    Rodolfo Metulini, Maurizio Carpita
    http://arxiv.org/abs/1906.11739v1

    • [stat.AP]An anisotropic model for global climate data
    Nil Venet, Alessandro Fassò
    http://arxiv.org/abs/1906.11585v1

    • [stat.AP]Detecting and classifying moments in basketball matches using sensor tracked data
    Tullio Facchinetti, Rodolfo Metulini, Paola Zuccolotto
    http://arxiv.org/abs/1906.11720v1

    • [stat.AP]How response designs and class proportions affect the accuracy of validation data
    Julien Radoux, François Waldner, Patrick Bogaert
    http://arxiv.org/abs/1906.11396v1

    • [stat.AP]Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample
    Lauren Kennedy, Andrew Gelman
    http://arxiv.org/abs/1906.11323v1

    • [stat.AP]Quality analysis in acyclic production networks
    Abraham Gutierrez, Sebastian Mueller
    http://arxiv.org/abs/1906.11609v1

    • [stat.AP]Unsupervised Methods for Identifying Pass Coverage Among Defensive Backs with NFL Player Tracking Data
    Rishav Dutta, Ronald Yurko, Samuel Ventura
    http://arxiv.org/abs/1906.11373v1

    • [stat.ME]A Simultaneous Transformation and Rounding Approach for Modeling Integer-Valued Data
    Daniel R. Kowal, Antonio Canale
    http://arxiv.org/abs/1906.11653v1

    • [stat.ME]Estimation of treatment effects following a sequential trial of multiple treatments
    John Whitehead, Yasin Desai, Thomas Jaki
    http://arxiv.org/abs/1906.11324v1

    • [stat.ME]Interpretable Almost-Matching-Exactly With Instrumental Variables
    M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
    http://arxiv.org/abs/1906.11658v1

    • [stat.ME]Selective Inference via Marginal Screening for High Dimensional Classification
    Yuta Umezu, Ichiro Takeuchi
    http://arxiv.org/abs/1906.11382v1

    • [stat.ML]‘In-Between’ Uncertainty in Bayesian Neural Networks
    Andrew Y. K. Foong, Yingzhen Li, José Miguel Hernández-Lobato, Richard E. Turner
    http://arxiv.org/abs/1906.11537v1

    • [stat.ML]A global approach for learning sparse Ising models
    Daniela De Canditiis
    http://arxiv.org/abs/1906.11641v1

    • [stat.ML]Benign Overfitting in Linear Regression
    Peter L. Bartlett, Philip M. Long, Gábor Lugosi, Alexander Tsigler
    http://arxiv.org/abs/1906.11300v1

    • [stat.ML]Deep Active Learning with Adaptive Acquisition
    Manuel Haussmann, Fred A. Hamprecht, Melih Kandemir
    http://arxiv.org/abs/1906.11471v1

    • [stat.ML]Fast Training of Sparse Graph Neural Networks on Dense Hardware
    Matej Balog, Bart van Merriënboer, Subhodeep Moitra, Yujia Li, Daniel Tarlow
    http://arxiv.org/abs/1906.11786v1

    • [stat.ML]Hierarchical Data Reduction and Learning
    Prashant Shekhar, Abani Patra
    http://arxiv.org/abs/1906.11426v1

    • [stat.ML]Hierarchical Optimal Transport for Multimodal Distribution Alignment
    John Lee, Max Dabagia, Eva L. Dyer, Christopher J. Rozell
    http://arxiv.org/abs/1906.11768v1

    • [stat.ML]Tuning-Free Disentanglement via Projection
    Yue Bai, Leo L. Duan
    http://arxiv.org/abs/1906.11732v1