astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.soft - 软凝聚物质 cond-mat.stat-mech - 统计数学 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.DS - 数据结构与算法 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AG - 代数几何 math.NA - 数值分析 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 q-bio.QM - 定量方法 q-fin.TR - 贸易与市场微观结构 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 stat.OT - 其他统计学

    • [astro-ph.IM]Discrete-time autoregressive model for unequally spaced time-series observations
    • [cond-mat.soft]Efficient Navigation of Active Particles in an Unseen Environment via Deep Reinforcement Learning
    • [cond-mat.stat-mech]Neural-network based general method for statistical mechanics on sparse systems
    • [cs.AI]A Framework for Evaluating Agricultural Ontologies
    • [cs.AI]Canonicalizing Knowledge Base Literals
    • [cs.AI]From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects
    • [cs.AI]Rethinking Formal Models of Partially Observable Multiagent Decision Making
    • [cs.AI]Soft computing methods for multiobjective location of garbage accumulation points in smart cities
    • [cs.AI]Turing Test Revisited: A Framework for an Alternative
    • [cs.CL]Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition
    • [cs.CL]Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding
    • [cs.CL]Essence Knowledge Distillation for Speech Recognition
    • [cs.CL]Interpretable Question Answering on Knowledge Bases and Text
    • [cs.CL]Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction
    • [cs.CL]Model-based annotation of coreference
    • [cs.CL]Sharing Attention Weights for Fast Transformer
    • [cs.CR]Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System
    • [cs.CV]Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients
    • [cs.CV]Bayesian Inference of Spacecraft Pose using Particle Filtering
    • [cs.CV]Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
    • [cs.CV]Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm
    • [cs.CV]Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations
    • [cs.CV]Deep Instance-Level Hard Negative Mining Model for Histopathology Images
    • [cs.CV]Deep Modular Co-Attention Networks for Visual Question Answering
    • [cs.CV]End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
    • [cs.CV]FA-Harris: A Fast and Asynchronous Corner Detector for Event Cameras
    • [cs.CV]Further advantages of data augmentation on convolutional neural networks
    • [cs.CV]Generalized Median Graph via Iterative Alternate Minimizations
    • [cs.CV]Hierarchical Classification of Kelps utilizing Deep Residual Features
    • [cs.CV]Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
    • [cs.CV]Joint Multi-frame Detection and Segmentation for Multi-cell Tracking
    • [cs.CV]Learning Data Augmentation Strategies for Object Detection
    • [cs.CV]Mapped Convolutions
    • [cs.CV]On the Role of Geometry in Geo-Localization
    • [cs.CV]Spatial Transformer for 3D Points
    • [cs.CV]Topology Maintained Structure Encoding
    • [cs.CV]Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
    • [cs.CY]Cognitive Systems Approach to Smart Cities
    • [cs.DC]Active Learning Solution on Distributed Edge Computing
    • [cs.DC]EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments
    • [cs.DC]Leader Election Requires Logarithmic Time in Population Protocols
    • [cs.DC]On the correctness of Egalitarian Paxos
    • [cs.DC]Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC
    • [cs.DC]XOX Fabric: A hybrid approach to transaction execution
    • [cs.DS]Lawn: an Unbound Low Latency Timer Data Structure for Large Scale, High Throughput Systems
    • [cs.IR]Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval
    • [cs.IR]Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
    • [cs.IT]A New Look at Cell-Free Massive MIMO: Making It Practical With Dynamic Cooperation
    • [cs.IT]Coded State Machine — Scaling State Machine Execution under Byzantine Faults
    • [cs.IT]Free Ride on LDPC Coded Transmission
    • [cs.IT]Guessing Individual Sequences: Generating Randomized Guesses Using Finite-State Machines
    • [cs.IT]Non-malleable Coding for Arbitrary Varying Channels
    • [cs.IT]On the Common Randomness Capacity of a Special Class of Two-way Channels
    • [cs.LG]AGAN: Towards Automated Design of Generative Adversarial Networks
    • [cs.LG]Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
    • [cs.LG]Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets
    • [cs.LG]Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
    • [cs.LG]Defending Adversarial Attacks by Correcting logits
    • [cs.LG]Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
    • [cs.LG]Event-Driven Models
    • [cs.LG]Expected Sarsa($λ$) with Control Variate for Variance Reduction
    • [cs.LG]Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD
    • [cs.LG]Hierarchical Optimal Transport for Document Representation
    • [cs.LG]Importance Estimation for Neural Network Pruning
    • [cs.LG]Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
    • [cs.LG]Latent Multi-Criteria Ratings for Recommendations
    • [cs.LG]Optimistic Proximal Policy Optimization
    • [cs.LG]Orthogonal Projection in Linear Bandits
    • [cs.LG]Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks
    • [cs.LG]Program Synthesis and Semantic Parsing with Learned Code Idioms
    • [cs.LG]Regularized Hierarchical Policies for Compositional Transfer in Robotics
    • [cs.LG]Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
    • [cs.LG]Simultaneous Prediction Intervals for Patient-Specific Survival Curves
    • [cs.LG]Task-Driven Common Representation Learning via Bridge Neural Network
    • [cs.LG]The Difficulty of Training Sparse Neural Networks
    • [cs.LG]Towards Empathic Deep Q-Learning
    • [cs.LG]Transfer of Machine Learning Fairness across Domains
    • [cs.LG]Uncertainty-aware Model-based Policy Optimization
    • [cs.LG]Universal Bayes consistency in metric spaces
    • [cs.LG]Verifying Robustness of Gradient Boosted Models
    • [cs.LO]A Computational Framework for Adaptive Systems and its Verification
    • [cs.MS]A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems
    • [cs.NE]Derivation of the Variational Bayes Equations
    • [cs.NE]Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine
    • [cs.NE]Water Preservation in Soan River Basin using Deep Learning Techniques
    • [cs.NI]Fixed Rate Statistical QoS Provisioning for Markovian Sources in Machine Type Communication
    • [cs.NI]Hybrid Resource Scheduling for Aggregation in Massive Machine-type Communication Networks
    • [cs.PF]Stress-SGX: Load and Stress your Enclaves for Fun and Profit
    • [cs.RO]Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
    • [cs.RO]NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles
    • [cs.RO]OLAE-ICP: Robust and fast alignment of geometric features with the optimal linear attitude estimator
    • [cs.RO]PyRep: Bringing V-REP to Deep Robot Learning
    • [cs.RO]RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments
    • [cs.SD]On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification
    • [cs.SE]Computer-Supported Collaborative Learning in Software Engineering Education: A Systematic Mapping Study
    • [cs.SI]Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics
    • [cs.SI]NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
    • [cs.SI]On the Coherence of Fake News Articles
    • [cs.SI]Signed Graph Attention Networks
    • [cs.SI]The 2018 Elections and Latinos
    • [eess.IV]DASGAN — Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images
    • [eess.IV]Evaluation of head segmentation quality for treatment planning of tumor treating fields in brain tumors
    • [eess.SP]Communication Through a Large Reflecting Surface With Phase Errors
    • [eess.SP]Low-Complexity Equalization of MIMO-OSDM
    • [eess.SP]Mismatched Estimation of Polynomially Damped Signals
    • [eess.SP]Time-Varying Interaction Estimation Using Ensemble Methods
    • [math.AG]On The Dimension of The Subfield Subcodes of 1-Point Hermitian Codes
    • [math.NA]Monte Carlo Integration with adaptive variance selection for improved stochastic Efficient Global Optimization
    • [math.NA]Piecewise polynomial approximation of probability density functions with application to uncertainty quantification for stochastic PDEs
    • [math.ST]An urn model with local reinforcement: a theoretical framework for a chi-squared goodness of fit test with a big sample
    • [math.ST]Control variate selection for Monte Carlo integration
    • [math.ST]On the definition of likelihood function
    • [math.ST]Preliminary test estimation in ULAN models
    • [math.ST]Principal Component Analysis for Multivariate Extremes
    • [math.ST]Upper tail dependence and smoothness of random fields
    • [physics.comp-ph]Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
    • [physics.data-an]Data-driven prediction of vortex-induced vibration response of marine risers subjected to three-dimensional current
    • [q-bio.QM]CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
    • [q-bio.QM]Survey of Information Encoding Techniques for DNA
    • [q-fin.TR]Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
    • [quant-ph]Computational Phase Transition Signature in Gibbs Sampling
    • [stat.AP]A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN
    • [stat.AP]Estimation of the size of informal employment based on administrative records with non-ignorable selection mechanism
    • [stat.AP]Time-evolving psychological processes over repeated decisions
    • [stat.ME]Estimation and selection for high-order Markov chains with Bayesian mixture transition distribution models
    • [stat.ME]Generalizing causal inferences from randomized trials: counterfactual and graphical identification
    • [stat.ME]Prediction Using a Bayesian Heteroscedastic Composite Gaussian Process
    • [stat.ME]Sampling of multiple variables based on partial order set theory
    • [stat.ME]User Sentiment as a Success Metric: Persistent Biases Under Full Randomization
    • [stat.ML]A Debiased MDI Feature Importance Measure for Random Forests
    • [stat.ML]Clustering piecewise stationary processes
    • [stat.ML]Modulated Bayesian Optimization using Latent Gaussian Process Models
    • [stat.ML]Visualizing High Dimensional Dynamical Processes
    • [stat.OT]A Role for Symmetry in the Bayesian Solution of Differential Equations

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    • [astro-ph.IM]Discrete-time autoregressive model for unequally spaced time-series observations
    Felipe Elorrieta, Susana Eyheramendy, Wilfredo Palma
    http://arxiv.org/abs/1906.11158v1

    • [cond-mat.soft]Efficient Navigation of Active Particles in an Unseen Environment via Deep Reinforcement Learning
    Yuguang Yang, Michael A. Bevan, Bo Li
    http://arxiv.org/abs/1906.10844v1

    • [cond-mat.stat-mech]Neural-network based general method for statistical mechanics on sparse systems
    Feng Pan, Hai-Jun Zhou, Pan Zhang
    http://arxiv.org/abs/1906.10935v1

    • [cs.AI]A Framework for Evaluating Agricultural Ontologies
    Anat Goldstein, Lior Fink, Gilad Ravid
    http://arxiv.org/abs/1906.10450v2

    • [cs.AI]Canonicalizing Knowledge Base Literals
    Jiaoyan Chen, Ernesto Jimenez-Ruiz, Ian Horrocks
    http://arxiv.org/abs/1906.11180v1

    • [cs.AI]From Multi-modal Property Dataset to Robot-centric Conceptual Knowledge About Household Objects
    Madhura Thosar, Christian A. Mueller, Georg Jaeger, Johannes Schleiss, Narender Pulugu, Ravi Mallikarjun Chennaboina, Sai Vivek Jeevangekar, Andreas Birk, Max Pfingsthorn, Sebastian Zug
    http://arxiv.org/abs/1906.11114v1

    • [cs.AI]Rethinking Formal Models of Partially Observable Multiagent Decision Making
    Vojtěch Kovařík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
    http://arxiv.org/abs/1906.11110v1

    • [cs.AI]Soft computing methods for multiobjective location of garbage accumulation points in smart cities
    Jamal Toutouh, Diego Rossit, Sergio Nesmachnow
    http://arxiv.org/abs/1906.10689v1

    • [cs.AI]Turing Test Revisited: A Framework for an Alternative
    Aladdin Ayesh
    http://arxiv.org/abs/1906.11068v1

    • [cs.CL]Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition
    Naoyuki Kanda, Shota Horiguchi, Ryoichi Takashima, Yusuke Fujita, Kenji Nagamatsu, Shinji Watanabe
    http://arxiv.org/abs/1906.10876v1

    • [cs.CL]Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding
    Hichem Mezaoui, Aleksandr Gontcharov, Isuru Gunasekara
    http://arxiv.org/abs/1906.11085v1

    • [cs.CL]Essence Knowledge Distillation for Speech Recognition
    Zhenchuan Yang, Chun Zhang, Weibin Zhang, Jianxiu Jin, Dongpeng Chen
    http://arxiv.org/abs/1906.10834v1

    • [cs.CL]Interpretable Question Answering on Knowledge Bases and Text
    Alona Sydorova, Nina Poerner, Benjamin Roth
    http://arxiv.org/abs/1906.10924v1

    • [cs.CL]Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction
    Kai Hakala, Aleksi Vesanto, Niko Miekka, Tapio Salakoski, Filip Ginter
    http://arxiv.org/abs/1906.10907v1

    • [cs.CL]Model-based annotation of coreference
    Rahul Aralikatte, Anders Søgaard
    http://arxiv.org/abs/1906.10724v1

    • [cs.CL]Sharing Attention Weights for Fast Transformer
    Tong Xiao, Yinqiao Li, Jingbo Zhu, Zhengtao Yu, Tongran Liu
    http://arxiv.org/abs/1906.11024v1

    • [cs.CR]Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System
    Yang Zhao, Jun Zhao, Linshan Jiang, Rui Tan, Dusit Niyato
    http://arxiv.org/abs/1906.10893v1

    • [cs.CV]Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients
    Sylvia Schmitz, Martin Weinmann, Boitumelo Ruf
    http://arxiv.org/abs/1906.10882v1

    • [cs.CV]Bayesian Inference of Spacecraft Pose using Particle Filtering
    Maxim Bazik, Brien Flewelling, Manoranjan Majji, Joseph Mundy
    http://arxiv.org/abs/1906.11182v1

    • [cs.CV]Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
    Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
    http://arxiv.org/abs/1906.11143v1

    • [cs.CV]Color Texture Classification Based on Proposed Impulse-Noise Resistant Color Local Binary Patterns and Significant Points Selection Algorithm
    Shervan Fekri-Ershad, Farshad Tajeripour
    http://arxiv.org/abs/1906.11010v1

    • [cs.CV]Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations
    Reuben R Shamir, Yuval Duchin, Jinyoung Kim, Guillermo Sapiro, Noam Harel
    http://arxiv.org/abs/1906.11031v1

    • [cs.CV]Deep Instance-Level Hard Negative Mining Model for Histopathology Images
    Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell
    http://arxiv.org/abs/1906.09681v2

    • [cs.CV]Deep Modular Co-Attention Networks for Visual Question Answering
    Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, Qi Tian
    http://arxiv.org/abs/1906.10770v1

    • [cs.CV]End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
    Mohammed Abdou, Mahmoud Elkhateeb, Ibrahim Sobh, Ahmad Elsallab
    http://arxiv.org/abs/1906.10964v1

    • [cs.CV]FA-Harris: A Fast and Asynchronous Corner Detector for Event Cameras
    Ruoxiang Li, Dianxi Shi, Yongjun Zhang, Kaiyue Li, Ruihao Li
    http://arxiv.org/abs/1906.10925v1

    • [cs.CV]Further advantages of data augmentation on convolutional neural networks
    Alex Hernández-García, Peter König
    http://arxiv.org/abs/1906.11052v1

    • [cs.CV]Generalized Median Graph via Iterative Alternate Minimizations
    Nicolas Boria, S’ebastien Bougleux, Benoit Gaüzère, Luc Brun
    http://arxiv.org/abs/1906.11009v1

    • [cs.CV]Hierarchical Classification of Kelps utilizing Deep Residual Features
    Ammar Mahmood, Ana Giraldo Ospina, Mohammed Bennamoun, Senjian An, Ferdous Sohel, Farid Boussaid, Renae Hovey, Robert B. Fisher, Gary Kendrick
    http://arxiv.org/abs/1906.10881v1

    • [cs.CV]Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
    Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool
    http://arxiv.org/abs/1906.11109v1

    • [cs.CV]Joint Multi-frame Detection and Segmentation for Multi-cell Tracking
    Zibin Zhou, Fei Wang, Wenjuan Xi, Huaying Chen, Peng Gao, Chengkang He
    http://arxiv.org/abs/1906.10886v1

    • [cs.CV]Learning Data Augmentation Strategies for Object Detection
    Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le
    http://arxiv.org/abs/1906.11172v1

    • [cs.CV]Mapped Convolutions
    Marc Eder, True Price, Thanh Vu, Akash Bapat, Jan-Michael Frahm
    http://arxiv.org/abs/1906.11096v1

    • [cs.CV]On the Role of Geometry in Geo-Localization
    Moti Kadosh, Yael Moses, Ariel Shamir
    http://arxiv.org/abs/1906.10855v1

    • [cs.CV]Spatial Transformer for 3D Points
    Jiayun Wang, Rudrasis Chakraborty, Stella X. Yu
    http://arxiv.org/abs/1906.10887v1

    • [cs.CV]Topology Maintained Structure Encoding
    Qing Fang
    http://arxiv.org/abs/1906.10823v1

    • [cs.CV]Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs
    Soheil Kolouri, Aniruddha Saha, Hamed Pirsiavash, Heiko Hoffmann
    http://arxiv.org/abs/1906.10842v1

    • [cs.CY]Cognitive Systems Approach to Smart Cities
    Aladdin Ayesh
    http://arxiv.org/abs/1906.11032v1

    • [cs.DC]Active Learning Solution on Distributed Edge Computing
    Jia Qian, Sayantan Sengupta, Lars Kai Hansen
    http://arxiv.org/abs/1906.10718v1

    • [cs.DC]EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments
    Shreshth Tuli, Nipam Basumatary, Rajkumar Buyya
    http://arxiv.org/abs/1906.11056v1

    • [cs.DC]Leader Election Requires Logarithmic Time in Population Protocols
    Yuichi Sudo, Toshimitsu Masuzawa
    http://arxiv.org/abs/1906.11121v1

    • [cs.DC]On the correctness of Egalitarian Paxos
    Pierre Sutra
    http://arxiv.org/abs/1906.10917v1

    • [cs.DC]Q-Learning Inspired Self-Tuning for Energy Efficiency in HPC
    Andreas Gocht, Robert Schöne, Mario Bielert
    http://arxiv.org/abs/1906.10970v1

    • [cs.DC]XOX Fabric: A hybrid approach to transaction execution
    Christian Gorenflo, Lukasz Golab, Srinivasan Keshav
    http://arxiv.org/abs/1906.11229v1

    • [cs.DS]Lawn: an Unbound Low Latency Timer Data Structure for Large Scale, High Throughput Systems
    Adam Lev-Libfeld
    http://arxiv.org/abs/1906.10860v1

    • [cs.IR]Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval
    Stefan Balke, Matthias Dorfer, Luis Carvalho, Andreas Arzt, Gerhard Widmer
    http://arxiv.org/abs/1906.10996v1

    • [cs.IR]Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering
    Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua
    http://arxiv.org/abs/1906.11171v1

    • [cs.IT]A New Look at Cell-Free Massive MIMO: Making It Practical With Dynamic Cooperation
    Emil Björnson, Luca Sanguinetti
    http://arxiv.org/abs/1906.10853v1

    • [cs.IT]Coded State Machine — Scaling State Machine Execution under Byzantine Faults
    Songze Li, Saeid Sahraei, Mingchao Yu, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath
    http://arxiv.org/abs/1906.10817v1

    • [cs.IT]Free Ride on LDPC Coded Transmission
    Suihua Cai, Shancheng Zhao, Xiao Ma
    http://arxiv.org/abs/1906.10806v1

    • [cs.IT]Guessing Individual Sequences: Generating Randomized Guesses Using Finite-State Machines
    Neri Merhav
    http://arxiv.org/abs/1906.10857v1

    • [cs.IT]Non-malleable Coding for Arbitrary Varying Channels
    Fuchun Lin, San Ling, Reihaneh Safavi-Naini, Huaxiong Wang
    http://arxiv.org/abs/1906.11066v1

    • [cs.IT]On the Common Randomness Capacity of a Special Class of Two-way Channels
    Saeed Hajizadeh
    http://arxiv.org/abs/1906.11231v1

    • [cs.LG]AGAN: Towards Automated Design of Generative Adversarial Networks
    Hanchao Wang, Jun Huan
    http://arxiv.org/abs/1906.11080v1

    • [cs.LG]Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
    Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg
    http://arxiv.org/abs/1906.10773v1

    • [cs.LG]Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Nets
    Amir R. Asadi, Emmanuel Abbe
    http://arxiv.org/abs/1906.11148v1

    • [cs.LG]Creating A Neural Pedagogical Agent by Jointly Learning to Review and Assess
    Youngnam Lee, Youngduck Choi, Junghyun Cho, Alexander R. Fabbri, Hyunbin Loh, Chanyou Hwang, Yongku Lee, Sang-Wook Kim, Dragomir Radev
    http://arxiv.org/abs/1906.10910v1

    • [cs.LG]Defending Adversarial Attacks by Correcting logits
    Yifeng Li, Lingxi Xie, Ya Zhang, Rui Zhang, Yanfeng Wang, Qi Tian
    http://arxiv.org/abs/1906.10973v1

    • [cs.LG]Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
    Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Zhi-Hua Zhou
    http://arxiv.org/abs/1906.10851v1

    • [cs.LG]Event-Driven Models
    Dimiter Dobrev
    http://arxiv.org/abs/1906.10740v1

    • [cs.LG]Expected Sarsa($λ$) with Control Variate for Variance Reduction
    Long Yang, Yu Zhang
    http://arxiv.org/abs/1906.11058v1

    • [cs.LG]Gradient Noise Convolution (GNC): Smoothing Loss Function for Distributed Large-Batch SGD
    Kosuke Haruki, Taiji Suzuki, Yohei Hamakawa, Takeshi Toda, Ryuji Sakai, Masahiro Ozawa, Mitsuhiro Kimura
    http://arxiv.org/abs/1906.10822v1

    • [cs.LG]Hierarchical Optimal Transport for Document Representation
    Mikhail Yurochkin, Sebastian Claici, Edward Chien, Farzaneh Mirzazadeh, Justin Solomon
    http://arxiv.org/abs/1906.10827v1

    • [cs.LG]Importance Estimation for Neural Network Pruning
    Pavlo Molchanov, Arun Mallya, Stephen Tyree, Iuri Frosio, Jan Kautz
    http://arxiv.org/abs/1906.10771v1

    • [cs.LG]Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
    Fanny Yang, Zuowen Wang, Christina Heinze-Deml
    http://arxiv.org/abs/1906.11235v1

    • [cs.LG]Latent Multi-Criteria Ratings for Recommendations
    Pan Li, Alexander Tuzhilin
    http://arxiv.org/abs/1906.10948v1

    • [cs.LG]Optimistic Proximal Policy Optimization
    Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka
    http://arxiv.org/abs/1906.11075v1

    • [cs.LG]Orthogonal Projection in Linear Bandits
    Qiyu Kang, Wee Peng Tay
    http://arxiv.org/abs/1906.10981v1

    • [cs.LG]Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks
    Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
    http://arxiv.org/abs/1906.10908v1

    • [cs.LG]Program Synthesis and Semantic Parsing with Learned Code Idioms
    Richard Shin, Miltiadis Allamanis, Marc Brockschmidt, Oleksandr Polozov
    http://arxiv.org/abs/1906.10816v1

    • [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/1906.11228v1

    • [cs.LG]Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics
    Niru Maheswaranathan, Alex Williams, Matthew D. Golub, Surya Ganguli, David Sussillo
    http://arxiv.org/abs/1906.10720v1

    • [cs.LG]Simultaneous Prediction Intervals for Patient-Specific Survival Curves
    Samuel Sokota, Ryan D’Orazio, Khurram Javed, Humza Haider, Russell Greiner
    http://arxiv.org/abs/1906.10780v1

    • [cs.LG]Task-Driven Common Representation Learning via Bridge Neural Network
    Yao Xu, Xueshuang Xiang, Meiyu Huang
    http://arxiv.org/abs/1906.10897v1

    • [cs.LG]The Difficulty of Training Sparse Neural Networks
    Utku Evci, Fabian Pedregosa, Aidan Gomez, Erich Elsen
    http://arxiv.org/abs/1906.10732v1

    • [cs.LG]Towards Empathic Deep Q-Learning
    Bart Bussmann, Jacqueline Heinerman, Joel Lehman
    http://arxiv.org/abs/1906.10918v1

    • [cs.LG]Transfer of Machine Learning Fairness across Domains
    Candice Schumann, Xuezhi Wang, Alex Beutel, Jilin Chen, Hai Qian, Ed H. Chi
    http://arxiv.org/abs/1906.09688v2

    • [cs.LG]Uncertainty-aware Model-based Policy Optimization
    Tung-Long Vuong, Kenneth Tran
    http://arxiv.org/abs/1906.10717v1

    • [cs.LG]Universal Bayes consistency in metric spaces
    Steve Hanneke, Aryeh Kontorovich, Sivan Sabato, Roi Weiss
    http://arxiv.org/abs/1906.09855v2

    • [cs.LG]Verifying Robustness of Gradient Boosted Models
    Gil Einziger, Maayan Goldstein, Yaniv Sa’ar, Itai Segall
    http://arxiv.org/abs/1906.10991v1

    • [cs.LO]A Computational Framework for Adaptive Systems and its Verification
    Yehia Abd Alrahman, Giuseppe Perelli, Nir Piterman
    http://arxiv.org/abs/1906.10793v1

    • [cs.MS]A High-Performance Implementation of a Robust Preconditioner for Heterogeneous Problems
    Linus Seelinger, Anne Reinarz, Robert Scheichl
    http://arxiv.org/abs/1906.10944v1

    • [cs.NE]Derivation of the Variational Bayes Equations
    Alianna J. Maren
    http://arxiv.org/abs/1906.08804v3

    • [cs.NE]Tactile Hallucinations on Artificial Skin Induced by Homeostasis in a Deep Boltzmann Machine
    Michael Deistler, Yagmur Yener, Florian Bergner, Pablo Lanillos, Gordon Cheng
    http://arxiv.org/abs/1906.10592v2

    • [cs.NE]Water Preservation in Soan River Basin using Deep Learning Techniques
    Sadaqat ur Rehman, Zhongliang Yang, Muhammad Shahid, Nan Wei, Yongfeng Huang, Muhammad Waqas, Shanshan Tu, Obaid ur Rehman
    http://arxiv.org/abs/1906.10852v1

    • [cs.NI]Fixed Rate Statistical QoS Provisioning for Markovian Sources in Machine Type Communication
    Fahad Qasmi, Mohammad Shehab, Hirley Alves, Matti Latva-aho
    http://arxiv.org/abs/1906.11135v1

    • [cs.NI]Hybrid Resource Scheduling for Aggregation in Massive Machine-type Communication Networks
    Onel L. Alcaraz López, Hirley Alves, Pedro H. J. Nardelli, Matti Latva-aho
    http://arxiv.org/abs/1906.11102v1

    • [cs.PF]Stress-SGX: Load and Stress your Enclaves for Fun and Profit
    Sébastien Vaucher, Valerio Schiavoni, Pascal Felber
    http://arxiv.org/abs/1906.11204v1

    • [cs.RO]Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
    Maxime Bouton, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer
    http://arxiv.org/abs/1906.11021v1

    • [cs.RO]NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles
    Sorin Grigorescu, Bogdan Trasnea, Liviu Marina, Andrei Vasilcoi, Tiberiu Cocias
    http://arxiv.org/abs/1906.10971v1

    • [cs.RO]OLAE-ICP: Robust and fast alignment of geometric features with the optimal linear attitude estimator
    Jose Luis Blanco-Claraco
    http://arxiv.org/abs/1906.10783v1

    • [cs.RO]PyRep: Bringing V-REP to Deep Robot Learning
    Stephen James, Marc Freese, Andrew J. Davison
    http://arxiv.org/abs/1906.11176v1

    • [cs.RO]RoadTrack: Tracking Road Agents in Dense and Heterogeneous Environments
    Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane, Aniket Bera, Dinesh Manocha
    http://arxiv.org/abs/1906.10712v1

    • [cs.SD]On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification
    Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martin-Morato, Pedro Zuccarello, Maximo Cobos
    http://arxiv.org/abs/1906.10891v1

    • [cs.SE]Computer-Supported Collaborative Learning in Software Engineering Education: A Systematic Mapping Study
    Antti Knutas, Jouni Ikonen, Jari Porras
    http://arxiv.org/abs/1906.10710v1

    • [cs.SI]Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics
    Meisam Navaki Arefi, Rajkumar Pandi, Michael Carl Tschantz, Jedidiah R. Crandall, King-wa Fu, Dahlia Qiu Shi, Miao Sha
    http://arxiv.org/abs/1906.10861v1

    • [cs.SI]NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
    Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang
    http://arxiv.org/abs/1906.11156v1

    • [cs.SI]On the Coherence of Fake News Articles
    Iknoor Singh, Deepak P, Anoop K
    http://arxiv.org/abs/1906.11126v1

    • [cs.SI]Signed Graph Attention Networks
    Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng
    http://arxiv.org/abs/1906.10958v1

    • [cs.SI]The 2018 Elections and Latinos
    Claudia Flores-Saviaga, Saiph Savage
    http://arxiv.org/abs/1906.10736v1

    • [eess.IV]DASGAN — Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images
    Ansh Kapil, Tobias Wiestler, Simon Lanzmich, Abraham Silva, Keith Steele, Marlon Rebelatto, Guenter Schmidt, Nicolas Brieu
    http://arxiv.org/abs/1906.11118v1

    • [eess.IV]Evaluation of head segmentation quality for treatment planning of tumor treating fields in brain tumors
    Reuben R Shamir, Zeev Bomzon
    http://arxiv.org/abs/1906.11014v1

    • [eess.SP]Communication Through a Large Reflecting Surface With Phase Errors
    Mihai-Alin Badiu, Justin P. Coon
    http://arxiv.org/abs/1906.10751v1

    • [eess.SP]Low-Complexity Equalization of MIMO-OSDM
    Jing Han, Shengqian Ma, Yujie Wang, Geert Leus
    http://arxiv.org/abs/1906.10848v1

    • [eess.SP]Mismatched Estimation of Polynomially Damped Signals
    Filip Elvander, Johan Swärd, Andreas Jakobsson
    http://arxiv.org/abs/1906.11113v1

    • [eess.SP]Time-Varying Interaction Estimation Using Ensemble Methods
    Brandon Oselio, Amir Sadeghian, Silvio Savarese, Alfred Hero
    http://arxiv.org/abs/1906.10746v1

    • [math.AG]On The Dimension of The Subfield Subcodes of 1-Point Hermitian Codes
    Sabira El Khalfaoui, Gábor P. Nagy
    http://arxiv.org/abs/1906.10444v1

    • [math.NA]Monte Carlo Integration with adaptive variance selection for improved stochastic Efficient Global Optimization
    Felipe Carraro, Rafael Holdorf Lopez, Leandro Fleck Fadel Miguel, André Jacomel Torii
    http://arxiv.org/abs/1906.11111v1

    • [math.NA]Piecewise polynomial approximation of probability density functions with application to uncertainty quantification for stochastic PDEs
    Giacomo Capodaglio, Max Gunzburger
    http://arxiv.org/abs/1906.10869v1

    • [math.ST]An urn model with local reinforcement: a theoretical framework for a chi-squared goodness of fit test with a big sample
    Giacomo Aletti, Irene Crimaldi
    http://arxiv.org/abs/1906.10951v1

    • [math.ST]Control variate selection for Monte Carlo integration
    Rémi Leluc, François Portier, Johan Segers
    http://arxiv.org/abs/1906.10920v1

    • [math.ST]On the definition of likelihood function
    Flávio B. Gonçalves, Pedro Franklin
    http://arxiv.org/abs/1906.10733v1

    • [math.ST]Preliminary test estimation in ULAN models
    Davy Paindaveine, Joséa Rasoafaraniaina, Thomas Verdebout
    http://arxiv.org/abs/1906.10967v1

    • [math.ST]Principal Component Analysis for Multivariate Extremes
    Holger Drees, Anne Sabourin
    http://arxiv.org/abs/1906.11043v1

    • [math.ST]Upper tail dependence and smoothness of random fields
    Helena Ferreira, Marta Ferreira, Luís A. Alexandre
    http://arxiv.org/abs/1906.10923v1

    • [physics.comp-ph]Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
    Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
    http://arxiv.org/abs/1906.11081v1

    • [physics.data-an]Data-driven prediction of vortex-induced vibration response of marine risers subjected to three-dimensional current
    Signe Riemer-Sørensen, Jie Wu, Halvor Lie, Svein Sævik, Sang-Woo Kim
    http://arxiv.org/abs/1906.11177v1

    • [q-bio.QM]CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
    Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
    http://arxiv.org/abs/1906.10729v1

    • [q-bio.QM]Survey of Information Encoding Techniques for DNA
    Thomas Heinis
    http://arxiv.org/abs/1906.11062v1

    • [q-fin.TR]Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis
    Wenhang Bao, Xiao-yang Liu
    http://arxiv.org/abs/1906.11046v1

    • [quant-ph]Computational Phase Transition Signature in Gibbs Sampling
    H. Philathong, V. Akshay, I. Zacharov, J. Biamonte
    http://arxiv.org/abs/1906.10705v1

    • [stat.AP]A comparison of apartment rent price prediction using a large dataset: Kriging versus DNN
    Hajime Seya, Daiki Shiroi
    http://arxiv.org/abs/1906.11099v1

    • [stat.AP]Estimation of the size of informal employment based on administrative records with non-ignorable selection mechanism
    Maciej Beręsewicz, Dagmara Nikulin
    http://arxiv.org/abs/1906.10957v1

    • [stat.AP]Time-evolving psychological processes over repeated decisions
    David Gunawan, Guy E. Hawkins, Robert Kohn, Minh-Ngoc Tran, Scott D. Brown
    http://arxiv.org/abs/1906.10838v1

    • [stat.ME]Estimation and selection for high-order Markov chains with Bayesian mixture transition distribution models
    Matthew Heiner, Athanasios Kottas
    http://arxiv.org/abs/1906.10781v1

    • [stat.ME]Generalizing causal inferences from randomized trials: counterfactual and graphical identification
    Issa J. Dahabreh, James M. Robins, Sebastien J-P. A. Haneuse, Miguel A. Hernán
    http://arxiv.org/abs/1906.10792v1

    • [stat.ME]Prediction Using a Bayesian Heteroscedastic Composite Gaussian Process
    Casey B. Davis, Christopher M. Hans, Thomas J. Santner
    http://arxiv.org/abs/1906.10737v1

    • [stat.ME]Sampling of multiple variables based on partial order set theory
    Bardia Panahbehagh, Rainer Bruggemann
    http://arxiv.org/abs/1906.11020v1

    • [stat.ME]User Sentiment as a Success Metric: Persistent Biases Under Full Randomization
    Ercan Yildiz, Joshua Safyan, Marc Harper
    http://arxiv.org/abs/1906.10843v1

    • [stat.ML]A Debiased MDI Feature Importance Measure for Random Forests
    Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu
    http://arxiv.org/abs/1906.10845v1

    • [stat.ML]Clustering piecewise stationary processes
    Azadeh Khaleghi, Daniil Ryabko
    http://arxiv.org/abs/1906.10921v1

    • [stat.ML]Modulated Bayesian Optimization using Latent Gaussian Process Models
    Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Neill D. F. Campbell, Carl Henrik Ek
    http://arxiv.org/abs/1906.11152v1

    • [stat.ML]Visualizing High Dimensional Dynamical Processes
    Andrés F. Duque, Guy Wolf, Kevin R. Moon
    http://arxiv.org/abs/1906.10725v1

    • [stat.OT]A Role for Symmetry in the Bayesian Solution of Differential Equations
    Junyang Wang, Jon Cockayne, Chris J. Oates
    http://arxiv.org/abs/1906.10564v2