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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 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.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.AG - 代数几何 math.NT - 数论 math.OC - 优化与控制 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing
    • [cs.AI]Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering
    • [cs.AI]Grounding Value Alignment with Ethical Principles
    • [cs.AI]Learning an Urban Air Mobility Encounter Model from Expert Preferences
    • [cs.AI]MLR (Memory, Learning and Recognition): A General Cognitive Model — applied to Intelligent Robots and Systems Control
    • [cs.CL]Automated Word Stress Detection in Russian
    • [cs.CL]Equiprobable mappings in weighted constraint grammars
    • [cs.CL]GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
    • [cs.CL]Hello, It’s GPT-2 — How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
    • [cs.CL]Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems
    • [cs.CL]Neural News Recommendation with Attentive Multi-View Learning
    • [cs.CL]Solving Hard Coreference Problems
    • [cs.CL]The Dynamic Embedded Topic Model
    • [cs.CL]The University of Edinburgh’s Submissions to the WMT19 News Translation Task
    • [cs.CR]Stateful Detection of Black-Box Adversarial Attacks
    • [cs.CR]Towards a Verified Model of the Algorand Consensus Protocol in Coq
    • [cs.CV]ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval
    • [cs.CV]AVD: Adversarial Video Distillation
    • [cs.CV]And the Bit Goes Down: Revisiting the Quantization of Neural Networks
    • [cs.CV]Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs
    • [cs.CV]Deep Model Compression via Filter Auto-sampling
    • [cs.CV]Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
    • [cs.CV]Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
    • [cs.CV]Hybrid Residual Attention Network for Single Image Super Resolution
    • [cs.CV]Learning a Curve Guardian for Motorcycles
    • [cs.CV]PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
    • [cs.CV]Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
    • [cs.CV]Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia
    • [cs.CV]Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN
    • [cs.CV]VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing
    • [cs.CY]Exploring the context of course rankings on online academic forums
    • [cs.CY]Girls Create Games: Lessons Learned
    • [cs.DC]A Unified Analysis Approach for Hardware and Software Implementations
    • [cs.DC]Equal bi-Vectorized (EBV) method to high performance on GPU
    • [cs.DC]Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures
    • [cs.GR]Improving the Projection of Global Structures in Data through Spanning Trees
    • [cs.GT]Asynchronous Majority Dynamics in Preferential Attachment Trees
    • [cs.HC]Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning
    • [cs.HC]Data by Proxy — Material Traces as Autographic Visualizations
    • [cs.IR]NPA: Neural News Recommendation with Personalized Attention
    • [cs.IR]Proceedings of FACTS-IR 2019
    • [cs.IR]ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis
    • [cs.IT]Beamforming Design in Multiple-Input-Multiple-Output Symbiotic Radio Backscatter Systems
    • [cs.IT]Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes
    • [cs.IT]Entropy Estimation of Physically Unclonable Functions via Chow Parameters
    • [cs.IT]Generalized Mutual Information
    • [cs.IT]Non-Orthogonal Multiple Access in UAV-to-Everything (U2X) Networks
    • [cs.IT]On some automorphisms of rational functions and their applications in rank metric codes
    • [cs.IT]Weighted Sum Power Maximization for Intelligent Reflecting Surface Aided SWIPT
    • [cs.LG]Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model
    • [cs.LG]Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
    • [cs.LG]Augmenting Neural Nets with Symbolic Synthesis: Applications to Few-Shot Learning
    • [cs.LG]Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks
    • [cs.LG]Exploration by Optimisation in Partial Monitoring
    • [cs.LG]Generative Modeling by Estimating Gradients of the Data Distribution
    • [cs.LG]Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning
    • [cs.LG]Justifying Diagnosis Decisions by Deep Neural Networks
    • [cs.LG]Laplacian-regularized graph bandits: Algorithms and theoretical analysis
    • [cs.LG]Learning Functions over Sets via Permutation Adversarial Networks
    • [cs.LG]Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
    • [cs.LG]Minimizers of the Empirical Risk and Risk Monotonicity
    • [cs.LG]Online Learning to Estimate Warfarin Dose with Contextual Linear Bandits
    • [cs.LG]R-Transformer: Recurrent Neural Network Enhanced Transformer
    • [cs.LG]Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning
    • [cs.LG]Saliency Maps Generation for Automatic Text Summarization
    • [cs.LG]Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
    • [cs.LG]Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction
    • [cs.LG]Virtual Adversarial Lipschitz Regularization
    • [cs.MA]From Observability to Significance in Distributed Information Systems
    • [cs.NE]Signal Conditioning for Learning in the Wild
    • [cs.RO]Active Rendezvous for Multi-Robot Pose Graph Optimization using Sensing over Wi-Fi
    • [cs.RO]Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping
    • [cs.RO]Graph-Structured Visual Imitation
    • [cs.RO]RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
    • [cs.SD]Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams
    • [cs.SE]Learning a Static Bug Finder from Data
    • [cs.SE]Mercem: Method Name Recommendation Based on Call Graph Embedding
    • [cs.SI]Predicting engagement in online social networks: Challenges and opportunities
    • [eess.AS]A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition
    • [eess.AS]Effective Incorporation of Speaker Information in Utterance Encoding in Dialog
    • [eess.IV]Coupled-Projection Residual Network for MRI Super-Resolution
    • [eess.IV]Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images
    • [eess.SP]Deep Learning with ConvNET Predicts Imagery Tasks Through EEG
    • [eess.SP]Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions
    • [eess.SP]Smart Cities: The Hopes and Hypes
    • [eess.SP]Wind Estimation Using Quadcopter Motion: A Machine Learning Approach
    • [math.AG]Quantum codes from a new construction of self-orthogonal algebraic geometry codes
    • [math.NT]Elementary proofs of generalized continued fraction formulae for $e$
    • [math.OC]Gittins’ theorem under uncertainty
    • [math.OC]Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
    • [math.OC]Structure Exploiting Interior Point Methods
    • [math.OC]The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
    • [math.ST]Asymptotics for Spherical Functional Autoregressions
    • [math.ST]Path Weights in Concentration Graphs
    • [physics.med-ph]Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations
    • [physics.soc-ph]Mobility restores the mechanism which supports cooperation in the voluntary prisoner’s dilemma game
    • [stat.AP]A Regionalisation Approach for Rainfall based on Extremal Dependence
    • [stat.AP]Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
    • [stat.AP]Scalable Panel Fusion Using Distributed Min Cost Flow
    • [stat.AP]The Geography of Love: Decoding the Spatial Pattern and Digital Self in Chinese Online Courtship
    • [stat.ME]Can Bayes Factors “Prove” the Null Hypothesis?
    • [stat.ME]Model based Level Shift Detection in Autocorrelated Data Streams using a moving window
    • [stat.ML]Dual Extrapolation for Sparse Generalized Linear Models

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

    • [cs.AI]A semi-holographic hyperdimensional representation system for hardware-friendly cognitive computing
    A. Serb, I. Kobyzevy, J. Wang, T. Prodromakis
    http://arxiv.org/abs/1907.05688v1

    • [cs.AI]Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering
    Alexandru Burdusel, Steffen Zschaler, Stefan John
    http://arxiv.org/abs/1907.05647v1

    • [cs.AI]Grounding Value Alignment with Ethical Principles
    Tae Wan Kim, Thomas Donaldson, John Hooker
    http://arxiv.org/abs/1907.05447v1

    • [cs.AI]Learning an Urban Air Mobility Encounter Model from Expert Preferences
    Sydney M. Katz, Anne-Claire Le Bihan, Mykel J. Kochenderfer
    http://arxiv.org/abs/1907.05575v1

    • [cs.AI]MLR (Memory, Learning and Recognition): A General Cognitive Model — applied to Intelligent Robots and Systems Control
    Aras R. Dargazany
    http://arxiv.org/abs/1907.05553v1

    • [cs.CL]Automated Word Stress Detection in Russian
    Maria Ponomareva, Kirill Milintsevich, Ekaterina Chernyak, Anatoly Starostin
    http://arxiv.org/abs/1907.05757v1

    • [cs.CL]Equiprobable mappings in weighted constraint grammars
    Arto Anttila, Scott Borgeson, Giorgio Magri
    http://arxiv.org/abs/1907.05839v1

    • [cs.CL]GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition
    Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Borje Karlsson
    http://arxiv.org/abs/1907.05611v1

    • [cs.CL]Hello, It’s GPT-2 — How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
    Paweł Budzianowski, Ivan Vulić
    http://arxiv.org/abs/1907.05774v1

    • [cs.CL]Knowledge-incorporating ESIM models for Response Selection in Retrieval-based Dialog Systems
    Jatin Ganhotra, Siva Sankalp Patel, Kshitij Fadnis
    http://arxiv.org/abs/1907.05792v1

    • [cs.CL]Neural News Recommendation with Attentive Multi-View Learning
    Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
    http://arxiv.org/abs/1907.05576v1

    • [cs.CL]Solving Hard Coreference Problems
    Haoruo Peng, Daniel Khashabi, Dan Roth
    http://arxiv.org/abs/1907.05524v1

    • [cs.CL]The Dynamic Embedded Topic Model
    Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei
    http://arxiv.org/abs/1907.05545v1

    • [cs.CL]The University of Edinburgh’s Submissions to the WMT19 News Translation Task
    Rachel Bawden, Nikolay Bogoychev, Ulrich Germann, Roman Grundkiewicz, Faheem Kirefu, Antonio Valerio Miceli Barone, Alexandra Birch
    http://arxiv.org/abs/1907.05854v1

    • [cs.CR]Stateful Detection of Black-Box Adversarial Attacks
    Steven Chen, Nicholas Carlini, David Wagner
    http://arxiv.org/abs/1907.05587v1

    • [cs.CR]Towards a Verified Model of the Algorand Consensus Protocol in Coq
    Musab A. Alturki, Jing Chen, Victor Luchangco, Brandon Moore, Karl Palmskog, Lucas Peña, Grigore Roşu
    http://arxiv.org/abs/1907.05523v1

    • [cs.CV]ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval
    Syed Sameed Husain, Eng-Jon Ong, Miroslaw Bober
    http://arxiv.org/abs/1907.05794v1

    • [cs.CV]AVD: Adversarial Video Distillation
    Mohammad Tavakolian, Mohammad Sabokrou, Abdenour Hadid
    http://arxiv.org/abs/1907.05640v1

    • [cs.CV]And the Bit Goes Down: Revisiting the Quantization of Neural Networks
    Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
    http://arxiv.org/abs/1907.05686v1

    • [cs.CV]Boosting Scene Character Recognition by Learning Canonical Forms of Glyphs
    Yizhi Wang, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
    http://arxiv.org/abs/1907.05577v1

    • [cs.CV]Deep Model Compression via Filter Auto-sampling
    Daquan Zhou, Xiaojie Jin, Kaixin Wang, Jianchao Yang, Jiashi Feng
    http://arxiv.org/abs/1907.05642v1

    • [cs.CV]Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning
    Jian Ni, Shanghang Zhang, Haiyong Xie
    http://arxiv.org/abs/1907.05570v1

    • [cs.CV]Gated-SCNN: Gated Shape CNNs for Semantic Segmentation
    Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler
    http://arxiv.org/abs/1907.05740v1

    • [cs.CV]Hybrid Residual Attention Network for Single Image Super Resolution
    Abdul Muqeet, Md Tauhid Bin Iqbal, Sung-Ho Bae
    http://arxiv.org/abs/1907.05514v1

    • [cs.CV]Learning a Curve Guardian for Motorcycles
    Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool
    http://arxiv.org/abs/1907.05738v1

    • [cs.CV]PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
    Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong
    http://arxiv.org/abs/1907.05737v1

    • [cs.CV]Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
    Yuhua Chen, Cordelia Schmid, Cristian Sminchisescu
    http://arxiv.org/abs/1907.05820v1

    • [cs.CV]Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia
    Usman Nazir, Numan Khurshid, Muhammad Ahmed Bhimra, Murtaza Taj
    http://arxiv.org/abs/1907.05552v1

    • [cs.CV]Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN
    Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ji-Rong Wen
    http://arxiv.org/abs/1907.05793v1

    • [cs.CV]VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing
    Qian Zhang, Jianjun Li, Meng Yao, Liangchen Song, Helong Zhou, Zhichao Li, Wenming Meng, Xuezhi Zhang, Guoli Wang
    http://arxiv.org/abs/1907.05653v1

    • [cs.CY]Exploring the context of course rankings on online academic forums
    Taha Hassan, Bob Edmison, Larry Cox II, Matthew Louvet, Daron Williams
    http://arxiv.org/abs/1907.05846v1

    • [cs.CY]Girls Create Games: Lessons Learned
    Bernadette Spieler, Vesna Krnjic, Wolfgang Slany
    http://arxiv.org/abs/1907.05811v1

    • [cs.DC]A Unified Analysis Approach for Hardware and Software Implementations
    Issam Damaj
    http://arxiv.org/abs/1907.05853v1

    • [cs.DC]Equal bi-Vectorized (EBV) method to high performance on GPU
    Amirreza Hashemi, Mohsen Lahooti, Ebrahim Shirani
    http://arxiv.org/abs/1907.05767v1

    • [cs.DC]Simulating Nonlinear Neutrino Oscillations on Next-Generation Many-Core Architectures
    Vahid Noormofidi
    http://arxiv.org/abs/1907.05560v1

    • [cs.GR]Improving the Projection of Global Structures in Data through Spanning Trees
    Daniel Alcaide, Jan Aerts
    http://arxiv.org/abs/1907.05783v1

    • [cs.GT]Asynchronous Majority Dynamics in Preferential Attachment Trees
    Maryam Bahrani, Nicole Immorlica, Divyarthi Mohan, S. Matthew Weinberg
    http://arxiv.org/abs/1907.05823v1

    • [cs.HC]Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning
    Alexandros Papangelis, Yi-Chia Wang, Piero Molino, Gokhan Tur
    http://arxiv.org/abs/1907.05507v1

    • [cs.HC]Data by Proxy — Material Traces as Autographic Visualizations
    Dietmar Offenhuber
    http://arxiv.org/abs/1907.05454v1

    • [cs.IR]NPA: Neural News Recommendation with Personalized Attention
    Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
    http://arxiv.org/abs/1907.05559v1

    • [cs.IR]Proceedings of FACTS-IR 2019
    Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand
    http://arxiv.org/abs/1907.05755v1

    • [cs.IR]ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis
    Yazhou Zhang, Lingling Song, Dawei Song, Peng Guo, Junwei Zhang, Peng Zhang
    http://arxiv.org/abs/1907.05562v1

    • [cs.IT]Beamforming Design in Multiple-Input-Multiple-Output Symbiotic Radio Backscatter Systems
    Tuo Wu, Miao Jiang, Qi Zhang, Quanzhong Li, Jiayin Qin
    http://arxiv.org/abs/1907.05585v1

    • [cs.IT]Coverage Probability Analysis Under Clustered Ambient Backscatter Nodes
    Dong Han, Hlaing Minn
    http://arxiv.org/abs/1907.05469v1

    • [cs.IT]Entropy Estimation of Physically Unclonable Functions via Chow Parameters
    Alexander Schaub, Olivier Rioul, Joseph, Joseph J. Boutros
    http://arxiv.org/abs/1907.05494v1

    • [cs.IT]Generalized Mutual Information
    Zhiyi Zhang
    http://arxiv.org/abs/1907.05484v1

    • [cs.IT]Non-Orthogonal Multiple Access in UAV-to-Everything (U2X) Networks
    Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen
    http://arxiv.org/abs/1907.05571v1

    • [cs.IT]On some automorphisms of rational functions and their applications in rank metric codes
    Tovohery Hajatiana Randrianarisoa, Rakhi Pratihar
    http://arxiv.org/abs/1907.05508v1

    • [cs.IT]Weighted Sum Power Maximization for Intelligent Reflecting Surface Aided SWIPT
    Qingqing Wu, Rui Zhang
    http://arxiv.org/abs/1907.05558v1

    • [cs.LG]Activity2Vec: Learning ADL Embeddings from Sensor Data with a Sequence-to-Sequence Model
    Alireza Ghods, Diane J. Cook
    http://arxiv.org/abs/1907.05597v1

    • [cs.LG]Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
    Saeedeh Parsaeefard, Iman Tabrizian, Alberto Leon-Garcia
    http://arxiv.org/abs/1907.05505v1

    • [cs.LG]Augmenting Neural Nets with Symbolic Synthesis: Applications to Few-Shot Learning
    Adithya Murali, P. Madhusudan
    http://arxiv.org/abs/1907.05878v1

    • [cs.LG]Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks
    Giorgos Bouritsas, Stelios Daveas, Antonios Danelakis, Constantinos Rizogiannis, Stelios C. A. Thomopoulos
    http://arxiv.org/abs/1907.05813v1

    • [cs.LG]Exploration by Optimisation in Partial Monitoring
    Tor Lattimore, Csaba Szepesvari
    http://arxiv.org/abs/1907.05772v1

    • [cs.LG]Generative Modeling by Estimating Gradients of the Data Distribution
    Yang Song, Stefano Ermon
    http://arxiv.org/abs/1907.05600v1

    • [cs.LG]Imitation-Projected Policy Gradient for Programmatic Reinforcement Learning
    Abhinav Verma, Hoang M. Le, Yisong Yue, Swarat Chaudhuri
    http://arxiv.org/abs/1907.05431v1

    • [cs.LG]Justifying Diagnosis Decisions by Deep Neural Networks
    Graham Spinks, Marie-Francine Moens
    http://arxiv.org/abs/1907.05671v1

    • [cs.LG]Laplacian-regularized graph bandits: Algorithms and theoretical analysis
    Kaige Yang, Xiaowen Dong, Laura Toni
    http://arxiv.org/abs/1907.05632v1

    • [cs.LG]Learning Functions over Sets via Permutation Adversarial Networks
    Chirag Pabbaraju, Prateek Jain
    http://arxiv.org/abs/1907.05638v1

    • [cs.LG]Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
    Yuping Luo, Huazhe Xu, Tengyu Ma
    http://arxiv.org/abs/1907.05634v1

    • [cs.LG]Minimizers of the Empirical Risk and Risk Monotonicity
    Marco Loog, Tom Viering, Alexander Mey
    http://arxiv.org/abs/1907.05476v1

    • [cs.LG]Online Learning to Estimate Warfarin Dose with Contextual Linear Bandits
    Hai Xiao
    http://arxiv.org/abs/1907.05496v1

    • [cs.LG]R-Transformer: Recurrent Neural Network Enhanced Transformer
    Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang
    http://arxiv.org/abs/1907.05572v1

    • [cs.LG]Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning
    Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu
    http://arxiv.org/abs/1907.05707v1

    • [cs.LG]Saliency Maps Generation for Automatic Text Summarization
    David Tuckey, Krysia Broda, Alessandra Russo
    http://arxiv.org/abs/1907.05664v1

    • [cs.LG]Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
    Kaisheng Gao, Jing Zhang, Cangqi Zhou
    http://arxiv.org/abs/1907.05743v1

    • [cs.LG]Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction
    Vikash Singh, Pietro Lio’
    http://arxiv.org/abs/1907.05628v1

    • [cs.LG]Virtual Adversarial Lipschitz Regularization
    Dávid Terjék
    http://arxiv.org/abs/1907.05681v1

    • [cs.MA]From Observability to Significance in Distributed Information Systems
    Mark Burgess
    http://arxiv.org/abs/1907.05636v1

    • [cs.NE]Signal Conditioning for Learning in the Wild
    Ayon Borthakur, Thomas A. Cleland
    http://arxiv.org/abs/1907.05827v1

    • [cs.RO]Active Rendezvous for Multi-Robot Pose Graph Optimization using Sensing over Wi-Fi
    Weiying Wang, Ninad Jadhav, Paul Vohs, Nathan Hughes, Mark Mazumder, Stephanie Gil
    http://arxiv.org/abs/1907.05538v1

    • [cs.RO]Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping
    Gabriel Magalhaes, Vihan Jain, Alexander Ku, Eugene Ie, Jason Baldridge
    http://arxiv.org/abs/1907.05446v1

    • [cs.RO]Graph-Structured Visual Imitation
    Maximilian Sieb, Zhou Xian, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki
    http://arxiv.org/abs/1907.05518v1

    • [cs.RO]RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
    Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust
    http://arxiv.org/abs/1907.04799v2

    • [cs.SD]Toeplitz Inverse Covariance based Robust Speaker Clustering for Naturalistic Audio Streams
    Harishchandra Dubey, Abhijeet Sangwan, John Hansen
    http://arxiv.org/abs/1907.05584v1

    • [cs.SE]Learning a Static Bug Finder from Data
    Yu Wang, Fengjuan Gao, Linzhang Wang, Yu Wang, Ke Wang
    http://arxiv.org/abs/1907.05579v1

    • [cs.SE]Mercem: Method Name Recommendation Based on Call Graph Embedding
    Hiroshi Yonai, Yasuhiro Hayase, Hiroyuki Kitagawa
    http://arxiv.org/abs/1907.05690v1

    • [cs.SI]Predicting engagement in online social networks: Challenges and opportunities
    Farig Sadeque, Steven Bethard
    http://arxiv.org/abs/1907.05442v1

    • [eess.AS]A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition
    Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David Kung, Michael Picheny
    http://arxiv.org/abs/1907.05701v1

    • [eess.AS]Effective Incorporation of Speaker Information in Utterance Encoding in Dialog
    Tianyu Zhao, Tatsuya Kawahara
    http://arxiv.org/abs/1907.05599v1

    • [eess.IV]Coupled-Projection Residual Network for MRI Super-Resolution
    Chun-Mei Feng, Kai Wang, Shijian Lu, Yong Xu, Heng Kong, Ling Shao
    http://arxiv.org/abs/1907.05598v1

    • [eess.IV]Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images
    Xueyan Ding, Yafei Wang, Yang Yan, Zheng Liang, Zetian Mi, Xianping Fu
    http://arxiv.org/abs/1907.05595v1

    • [eess.SP]Deep Learning with ConvNET Predicts Imagery Tasks Through EEG
    Apdullah Yayık, Yakup Kutlu, Gökhan Altan
    http://arxiv.org/abs/1907.05674v1

    • [eess.SP]Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions
    Ang Li, Danilo Spano, Jevgenij Krivochiza, Stavros Domouchtsidis, Christos G. Tsinos, Christos Masouros, Symeon Chatzinotas, Yonghui Li, Branka Vucetic, Björn Ottersten
    http://arxiv.org/abs/1907.05530v1

    • [eess.SP]Smart Cities: The Hopes and Hypes
    Sudhir K. Routray, Susanta K. Sarangi, Abhishek Javali
    http://arxiv.org/abs/1907.05702v1

    • [eess.SP]Wind Estimation Using Quadcopter Motion: A Machine Learning Approach
    Sam Allison, He Bai, Balaji Jayaraman
    http://arxiv.org/abs/1907.05720v1

    • [math.AG]Quantum codes from a new construction of self-orthogonal algebraic geometry codes
    Fernando Hernando, Gary McGuire, Francisco Monserrat, Julio José Moyano-Fernández
    http://arxiv.org/abs/1907.05645v1

    • [math.NT]Elementary proofs of generalized continued fraction formulae for $e$
    Zhentao Lu
    http://arxiv.org/abs/1907.05563v1

    • [math.OC]Gittins’ theorem under uncertainty
    Samuel N. Cohen, Tanut Treetanthiploet
    http://arxiv.org/abs/1907.05689v1

    • [math.OC]Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location
    Andrea Lodi, Luca Mossina, Emmanuel Rachelson
    http://arxiv.org/abs/1907.05765v1

    • [math.OC]Structure Exploiting Interior Point Methods
    Juraj Kardoš, Drosos Kourounis, Olaf Schenk
    http://arxiv.org/abs/1907.05420v1

    • [math.OC]The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
    Shuang Li, Gongguo Tang, Michael B. Wakin
    http://arxiv.org/abs/1907.05520v1

    • [math.ST]Asymptotics for Spherical Functional Autoregressions
    Alessia Caponera, Domenico Marinucci
    http://arxiv.org/abs/1907.05802v1

    • [math.ST]Path Weights in Concentration Graphs
    Alberto Roverato, Robert Castelo
    http://arxiv.org/abs/1907.05781v1

    • [physics.med-ph]Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and Locations
    Niclas Kath, Heinz Handels, Andre Mastmeyer
    http://arxiv.org/abs/1907.05709v1

    • [physics.soc-ph]Mobility restores the mechanism which supports cooperation in the voluntary prisoner’s dilemma game
    Marcos Cardinot, Colm O’Riordan, Josephine Griffith, Attila Szolnoki
    http://arxiv.org/abs/1907.05482v1

    • [stat.AP]A Regionalisation Approach for Rainfall based on Extremal Dependence
    K. R. Saunders, A. G. Stephenson, D. J. Karoly
    http://arxiv.org/abs/1907.05750v1

    • [stat.AP]Personalized Decision Making for Biopsies in Prostate Cancer Active Surveillance Programs
    Anirudh Tomer, Dimitris Rizopoulos, Daan Nieboer, Frank-Jan Drost, Monique J. Roobol, Ewout W. Steyerberg
    http://arxiv.org/abs/1907.05621v1

    • [stat.AP]Scalable Panel Fusion Using Distributed Min Cost Flow
    Swapnil Shinde, Jukka Ranta, Paul Deitrick, Matthew Malloy
    http://arxiv.org/abs/1907.05458v1

    • [stat.AP]The Geography of Love: Decoding the Spatial Pattern and Digital Self in Chinese Online Courtship
    Shu Wei
    http://arxiv.org/abs/1907.05526v1

    • [stat.ME]Can Bayes Factors “Prove” the Null Hypothesis?
    Michael Smithson
    http://arxiv.org/abs/1907.05583v1

    • [stat.ME]Model based Level Shift Detection in Autocorrelated Data Streams using a moving window
    Jacob Søgaard Larsen, Anders Stockmarr, Bjarne Kjær Ersbøll, Murat Kulahci
    http://arxiv.org/abs/1907.05453v1

    • [stat.ML]Dual Extrapolation for Sparse Generalized Linear Models
    Mathurin Massias, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
    http://arxiv.org/abs/1907.05830v1