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
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• [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