cs.AI - 人工智能

    cs.CG - 计算几何学 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.GT - 计算机科学与博弈论 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.PF - 计算性能 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.DS - 动力系统 math.OC - 优化与控制 math.ST - 统计理论 q-bio.NC - 神经元与认知 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Bayesian Approach to Rule Mining
    • [cs.AI]An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions
    • [cs.AI]From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
    • [cs.CG]TopoAct: Exploring the Shape of Activations in Deep Learning
    • [cs.CL]Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph
    • [cs.CL]Document Sub-structure in Neural Machine Translation
    • [cs.CL]Shaping representations through communication: community size effect in artificial learning systems
    • [cs.CR]Augmenting Fiat Currency with an Integrated Managed Cryptocurrency
    • [cs.CV]A Method for Arbitrary Instance Style Transfer
    • [cs.CV]Action Modifiers: Learning from Adverbs in Instructional Videos
    • [cs.CV]Are We Making Real Progress in Simulated Environments? Measuring the Sim2Real Gap in Embodied Visual Navigation
    • [cs.CV]Bonn Activity Maps: Dataset Description
    • [cs.CV]Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
    • [cs.CV]Down to the Last Detail: Virtual Try-on with Detail Carving
    • [cs.CV]Elastic registration based on compliance analysis and biomechanical graph matching
    • [cs.CV]End-to-End Learning of Visual Representations from Uncurated Instructional Videos
    • [cs.CV]Fast Image Caption Generation with Position Alignment
    • [cs.CV]Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition
    • [cs.CV]Greenery Segmentation In Urban Images By Deep Learning
    • [cs.CV]Grounding-Tracking-Integration
    • [cs.CV]Inferring Distributions Over Depth from a Single Image
    • [cs.CV]Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach
    • [cs.CV]Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
    • [cs.CV]Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations
    • [cs.CV]Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras
    • [cs.CV]ManiGAN: Text-Guided Image Manipulation
    • [cs.CV]Multi-level Similarity Learning for Low-Shot Recognition
    • [cs.CV]Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
    • [cs.CV]Music-oriented Dance Video Synthesis with Pose Perceptual Loss
    • [cs.CV]PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
    • [cs.CV]Real-time texturing for 6D object instance detection from RGB Images
    • [cs.CV]Relative planar motion for vehicle-mounted cameras from a single affine correspondence
    • [cs.CV]SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong
    • [cs.CV]Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
    • [cs.CV]Small Object Detection using Context and Attention
    • [cs.CV]Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach
    • [cs.CV]The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
    • [cs.CV]Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection
    • [cs.CV]Towards Partial Supervision for Generic Object Counting in Natural Scenes
    • [cs.CY]A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence
    • [cs.CY]ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
    • [cs.CY]Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination
    • [cs.DB]Optimal Two-Sided Market Mechanism Design for Large-Scale Data Sharing and Trading in Massive IoT Networks
    • [cs.DC]Challenges in designing edge-based middlewares for the Internet of Things: A survey
    • [cs.DC]Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis
    • [cs.DC]High Performance Computing for Geospatial Applications: A Prospective View
    • [cs.DC]High Performance Computing for Geospatial Applications: A Retrospective View
    • [cs.DC]Multi-Task Offloading over Vehicular Clouds under Graph-based Representation
    • [cs.DC]RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework
    • [cs.DS]Theoretically-Efficient and Practical Parallel DBSCAN
    • [cs.GR]Neural Cages for Detail-Preserving 3D Deformations
    • [cs.GT]Optimal, Truthful, and Private Securities Lending
    • [cs.GT]Reducing selfish routing inefficiencies using traffic lights
    • [cs.IR]Extracting clinical concepts from user queries
    • [cs.IT]A Communication Model for Large Intelligent Surfaces
    • [cs.IT]Federated learning with multichannel ALOHA
    • [cs.IT]Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems with Coarsely Quantized Signals and C-RANs
    • [cs.IT]On Low-complexity Lattice Reduction Algorithms for Large-scale MIMO Detection: the Blessing of Sequential Reduction
    • [cs.IT]On Pre-transformed Polar Codes
    • [cs.IT]On asymptotically optimal tests for random number generators
    • [cs.IT]The quadratic hull of a code and the geometric view on multiplication algorithms
    • [cs.IT]Two-User SIMO Interference Channel with TIN: Improper Signaling versus Time-Sharing
    • [cs.LG]Active emulation of computer codes with Gaussian processes — Application to remote sensing
    • [cs.LG]Deep Self-representative Concept Factorization Network for Representation Learning
    • [cs.LG]Double descent in the condition number
    • [cs.LG]General Information Bottleneck Objectives and their Applications to Machine Learning
    • [cs.LG]Meta-Learning Initializations for Image Segmentation
    • [cs.LG]More Efficient Off-Policy Evaluation through Regularized Targeted Learning
    • [cs.LG]On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
    • [cs.LG]Potential adversarial samples for white-box attacks
    • [cs.LG]Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning
    • [cs.LG]Seizure Prediction Using Bidirectional LSTM
    • [cs.LG]WaLDORf: Wasteless Language-model Distillation On Reading-comprehension
    • [cs.NE]COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks
    • [cs.NE]Coevolution of Generative Adversarial Networks
    • [cs.PF]Queueing Analysis of GPU-Based Inference Servers with Dynamic Batching: A Closed-Form Characterization
    • [cs.RO]That and There: Judging the Intent of Pointing Actions with Robotic Arms
    • [cs.SE]Architectural Stability Reasoning using Self-Awareness Principles: Case of Self-Adaptive Cloud Architectures
    • [cs.SI]Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries
    • [cs.SI]Maintaining Ferment: On Opinion Control Over Social Networks
    • [econ.EM]Network Data
    • [eess.AS]Short-duration Speaker Verification (SdSV) Challenge 2020: the Challenge Evaluation Plan
    • [eess.IV]Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
    • [eess.IV]Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
    • [eess.SP]A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration
    • [eess.SP]Terahertz Communications (TeraCom): Challenges and Impact on 6G Wireless Systems
    • [math.DS]A new method for similarity and anomaly detection in cryptocurrency markets
    • [math.OC]Learning and Optimization with Bayesian Hybrid Models
    • [math.OC]On Privatizing Equilibrium Computation in Aggregate Games over Networks
    • [math.OC]Optimization-based motion planning for multi-steered articulated vehicles
    • [math.ST]Central Limit Theorem for Linear Spectral Statistics of Large Dimensional Kendall’s Rank Correlation Matrices and its Applications
    • [q-bio.NC]From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
    • [stat.AP]Joint modeling with time-dependent treatment and heteroskedasticity: Bayesian analysis with application to the Framingham Heart Study
    • [stat.ME]Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques
    • [stat.ME]Assessing effect heterogeneity of a randomized treatment using conditional inference trees
    • [stat.ME]Best Subset Selection in Reduced Rank Regression
    • [stat.ME]Higher-dimensional spatial extremes via single-site conditioning
    • [stat.ML]MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection
    • [stat.ML]Provably Efficient Reinforcement Learning with Aggregated States
    • [stat.ML]Understanding complex predictive models with Ghost Variables

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    • [cs.AI]A Bayesian Approach to Rule Mining
    Luis Ignacio Lopera González, Adrian Derungs, Oliver Amft
    http://arxiv.org/abs/1912.06432v1

    • [cs.AI]An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions
    Thierry Denoeux, Prakash P. Shenoy
    http://arxiv.org/abs/1912.06594v1

    • [cs.AI]From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)
    Zied Bouraoui, Antoine Cornuéjols, Thierry Denœux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain
    http://arxiv.org/abs/1912.06612v1

    • [cs.CG]TopoAct: Exploring the Shape of Activations in Deep Learning
    Archit Rathore, Nithin Chalapathi, Sourabh Palande, Bei Wang
    http://arxiv.org/abs/1912.06332v1

    • [cs.CL]Context-aware Entity Linking with Attentive Neural Networks on Wikidata Knowledge Graph
    Isaiah Onando Mulang, Kuldeep Singh, Akhilesh Vyas, Saeedeh Shekarpour, Ahmad Sakor, Maria Esther Vidal, Soren Auer, Jens Lehmann
    http://arxiv.org/abs/1912.06214v1

    • [cs.CL]Document Sub-structure in Neural Machine Translation
    Radina Dobreva, Jie Zhou, Rachel Bawden
    http://arxiv.org/abs/1912.06598v1

    • [cs.CL]Shaping representations through communication: community size effect in artificial learning systems
    Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup
    http://arxiv.org/abs/1912.06208v1

    • [cs.CR]Augmenting Fiat Currency with an Integrated Managed Cryptocurrency
    Peter Mell
    http://arxiv.org/abs/1912.06487v1

    • [cs.CV]A Method for Arbitrary Instance Style Transfer
    Zhifeng Yu, Yusheng Wu, Tianyou Wang
    http://arxiv.org/abs/1912.06347v1

    • [cs.CV]Action Modifiers: Learning from Adverbs in Instructional Videos
    Hazel Doughty, Ivan Laptev, Walterio Mayol-Cuevas, Dima Damen
    http://arxiv.org/abs/1912.06617v1

    • [cs.CV]Are We Making Real Progress in Simulated Environments? Measuring the Sim2Real Gap in Embodied Visual Navigation
    Abhishek Kadian, Joanne Truong, Aaron Gokaslan, Alexander Clegg, Erik Wijmans, Stefan Lee, Manolis Savva, Sonia Chernova, Dhruv Batra
    http://arxiv.org/abs/1912.06321v1

    • [cs.CV]Bonn Activity Maps: Dataset Description
    Julian Tanke, Oh-Hun Kwon, Patrick Stotko, Radu Alexandru Rosu, Michael Weinmann, Hassan Errami, Sven Behnke, Maren Bennewitz, Reinhard Klein, Andreas Weber, Angela Yao, Juergen Gall
    http://arxiv.org/abs/1912.06354v1

    • [cs.CV]Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching
    Xiaodong Gu, Zhiwen Fan, Siyu Zhu, Zuozhuo Dai, Feitong Tan, Ping Tan
    http://arxiv.org/abs/1912.06378v1

    • [cs.CV]Down to the Last Detail: Virtual Try-on with Detail Carving
    Jiahang Wang, Wei Zhang, Weizhong Liu, Tao Mei
    http://arxiv.org/abs/1912.06324v1

    • [cs.CV]Elastic registration based on compliance analysis and biomechanical graph matching
    Jaime Garcia Guevara, Igor Peterlik, Marie-Odile Berger, Stéphane Cotin
    http://arxiv.org/abs/1912.06353v1

    • [cs.CV]End-to-End Learning of Visual Representations from Uncurated Instructional Videos
    Antoine Miech, Jean-Baptiste Alayrac, Lucas Smaira, Ivan Laptev, Josef Sivic, Andrew Zisserman
    http://arxiv.org/abs/1912.06430v1

    • [cs.CV]Fast Image Caption Generation with Position Alignment
    Zheng-cong Fei
    http://arxiv.org/abs/1912.06365v1

    • [cs.CV]Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition
    Zhao Zhang, Zemin Tang, Zheng Zhang, Yang Wang, Jie Qin, Meng Wang
    http://arxiv.org/abs/1912.06446v1

    • [cs.CV]Greenery Segmentation In Urban Images By Deep Learning
    Artur A. M. Oliveira, Nina S. T. Hirata, Roberto Hirata Jr
    http://arxiv.org/abs/1912.06199v1

    • [cs.CV]Grounding-Tracking-Integration
    Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jiebo Luo
    http://arxiv.org/abs/1912.06316v1

    • [cs.CV]Inferring Distributions Over Depth from a Single Image
    Gengshan Yang, Peiyun Hu, Deva Ramanan
    http://arxiv.org/abs/1912.06268v1

    • [cs.CV]Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach
    Lu Sang, Bjoern Haefner, Daniel Cremers
    http://arxiv.org/abs/1912.06501v1

    • [cs.CV]Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
    Vage Egiazarian, Savva Ignatyev, Alexey Artemov, Oleg Voynov, Andrey Kravchenko, Youyi Zheng, Luiz Velho, Evgeny Burnaev
    http://arxiv.org/abs/1912.06466v1

    • [cs.CV]Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations
    Alan Dolhasz, Carlo Harvey, Ian Williams
    http://arxiv.org/abs/1912.06433v1

    • [cs.CV]Least-squares Optimal Relative Planar Motion for Vehicle-mounted Cameras
    Levente Hajder, Daniel Barath
    http://arxiv.org/abs/1912.06464v1

    • [cs.CV]ManiGAN: Text-Guided Image Manipulation
    Bowen Li, Xiaojuan Qi, Thomas Lukasiewicz, Philip H. S. Torr
    http://arxiv.org/abs/1912.06203v1

    • [cs.CV]Multi-level Similarity Learning for Low-Shot Recognition
    Hongwei Xv, Xin Sun, Junyu Dong, Shu Zhang, Qiong Li
    http://arxiv.org/abs/1912.06418v1

    • [cs.CV]Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
    Xianzhen Li, Zhao Zhang, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang
    http://arxiv.org/abs/1912.06450v1

    • [cs.CV]Music-oriented Dance Video Synthesis with Pose Perceptual Loss
    Xuanchi Ren, Haoran Li, Zijian Huang, Qifeng Chen
    http://arxiv.org/abs/1912.06606v1

    • [cs.CV]PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
    Delia Velasco-Montero, Jorge Fernández-Berni, Ricardo Carmona-Galán, Ángel Rodríguez-Vázquez
    http://arxiv.org/abs/1912.06442v1

    • [cs.CV]Real-time texturing for 6D object instance detection from RGB Images
    Pavel Rojtberg, Arjan Kuijper
    http://arxiv.org/abs/1912.06404v1

    • [cs.CV]Relative planar motion for vehicle-mounted cameras from a single affine correspondence
    Levente Hajder, Daniel Barath
    http://arxiv.org/abs/1912.06465v1

    • [cs.CV]SPIN: A High Speed, High Resolution Vision Dataset for Tracking and Action Recognition in Ping Pong
    Steven Schwarcz, Peng Xu, David D’Ambrosio, Juhana Kangaspunta, Anelia Angelova, Huong Phan, Navdeep Jaitly
    http://arxiv.org/abs/1912.06640v1

    • [cs.CV]Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
    Nicolas Scheiner, Florian Kraus, Fangyin Wei, Buu Phan, Fahim Mannan, Nils Appenrodt, Werner Ritter, Jürgen Dickmann, Klaus Dietmayer, Bernhard Sick, Felix Heide
    http://arxiv.org/abs/1912.06613v1

    • [cs.CV]Small Object Detection using Context and Attention
    Jeong-Seon Lim, Marcella Astrid, Seung-Ik Lee, Hyun-Jin Yoon
    http://arxiv.org/abs/1912.06319v1

    • [cs.CV]Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach
    Doreen Jirak, David Biertimpel, Matthias Kerzel, Stefan Wermter
    http://arxiv.org/abs/1912.06449v1

    • [cs.CV]The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
    Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann
    http://arxiv.org/abs/1912.06445v1

    • [cs.CV]Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection
    Kevin J Liang, John B. Sigman, Gregory P. Spell, Dan Strellis, William Chang, Felix Liu, Tejas Mehta, Lawrence Carin
    http://arxiv.org/abs/1912.06329v1

    • [cs.CV]Towards Partial Supervision for Generic Object Counting in Natural Scenes
    Hisham Cholakkal, Guolei Sun, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Luc Van Gool
    http://arxiv.org/abs/1912.06448v1

    • [cs.CY]A Stable Nuclear Future? The Impact of Autonomous Systems and Artificial Intelligence
    Michael C. Horowitz, Paul Scharre, Alexander Velez-Green
    http://arxiv.org/abs/1912.05291v2

    • [cs.CY]ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
    Inioluwa Deborah Raji, Jingying Yang
    http://arxiv.org/abs/1912.06166v1

    • [cs.CY]Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination
    Miranda Bogen, Aaron Rieke, Shazeda Ahmed
    http://arxiv.org/abs/1912.06171v1

    • [cs.DB]Optimal Two-Sided Market Mechanism Design for Large-Scale Data Sharing and Trading in Massive IoT Networks
    Tao Zhang, Quanyan Zhu
    http://arxiv.org/abs/1912.06229v1

    • [cs.DC]Challenges in designing edge-based middlewares for the Internet of Things: A survey
    Eduard Gibert Renart, Daniel Balouek-thomert, Manish Parashar
    http://arxiv.org/abs/1912.06567v1

    • [cs.DC]Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis
    Johannes de Fine Licht, Grzegorz Kwasniewski, Torsten Hoefler
    http://arxiv.org/abs/1912.06526v1

    • [cs.DC]High Performance Computing for Geospatial Applications: A Prospective View
    Marc P. Armstrong
    http://arxiv.org/abs/1912.06547v1

    • [cs.DC]High Performance Computing for Geospatial Applications: A Retrospective View
    Marc P. Armstrong
    http://arxiv.org/abs/1912.06548v1

    • [cs.DC]Multi-Task Offloading over Vehicular Clouds under Graph-based Representation
    Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour, Huaiyu Dai
    http://arxiv.org/abs/1912.06243v1

    • [cs.DC]RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework
    Pankaj Singh, Sudhakar Singh, P. K. Mishra, Rakhi Garg
    http://arxiv.org/abs/1912.06415v1

    • [cs.DS]Theoretically-Efficient and Practical Parallel DBSCAN
    Yiqiu Wang, Yan Gu, Julian Shun
    http://arxiv.org/abs/1912.06255v1

    • [cs.GR]Neural Cages for Detail-Preserving 3D Deformations
    Wang Yifan, Noam Aigerman, Vladimir Kim, Siddhartha Chaudhuri, Olga Sorkine-Hornung
    http://arxiv.org/abs/1912.06395v1

    • [cs.GT]Optimal, Truthful, and Private Securities Lending
    Emily Diana, Michael Kearns, Seth Neel, Aaron Roth
    http://arxiv.org/abs/1912.06202v1

    • [cs.GT]Reducing selfish routing inefficiencies using traffic lights
    Charlotte Roman, Paolo Turrini
    http://arxiv.org/abs/1912.06513v1

    • [cs.IR]Extracting clinical concepts from user queries
    Yue Zhao, John Handley
    http://arxiv.org/abs/1912.06262v1

    • [cs.IT]A Communication Model for Large Intelligent Surfaces
    Robin Jess Williams, Elisabeth De Carvalho, Thomas L. Marzetta
    http://arxiv.org/abs/1912.06644v1

    • [cs.IT]Federated learning with multichannel ALOHA
    Jinho Choi, Shiva Raj Pokhrel
    http://arxiv.org/abs/1912.06273v1

    • [cs.IT]Joint AGC and Receiver Design for Large-Scale MU-MIMO Systems with Coarsely Quantized Signals and C-RANs
    T. Cunha, R. C. de Lamare, T. N. Ferreira
    http://arxiv.org/abs/1912.06282v1

    • [cs.IT]On Low-complexity Lattice Reduction Algorithms for Large-scale MIMO Detection: the Blessing of Sequential Reduction
    Shanxiang Lyu, Jinming Wen, Jian Weng, Cong Ling
    http://arxiv.org/abs/1912.06278v1

    • [cs.IT]On Pre-transformed Polar Codes
    Bin Li, Huazi Zhang, Jiaqi Gu
    http://arxiv.org/abs/1912.06359v1

    • [cs.IT]On asymptotically optimal tests for random number generators
    Boris Ryabko
    http://arxiv.org/abs/1912.06542v1

    • [cs.IT]The quadratic hull of a code and the geometric view on multiplication algorithms
    Hugues Randriambololona
    http://arxiv.org/abs/1912.06627v1

    • [cs.IT]Two-User SIMO Interference Channel with TIN: Improper Signaling versus Time-Sharing
    Christoph Hellings, Ferhad Askerbeyli, Wolfgang Utschick
    http://arxiv.org/abs/1912.06402v1

    • [cs.LG]Active emulation of computer codes with Gaussian processes — Application to remote sensing
    Daniel Heestermans Svendsen, Luca Martino, Gustau Camps-Valls
    http://arxiv.org/abs/1912.06552v1

    • [cs.LG]Deep Self-representative Concept Factorization Network for Representation Learning
    Yan Zhang, Zhao Zhang, Zheng Zhang, Mingbo Zhao, Li Zhang, Zhengjun Zha, Meng Wang
    http://arxiv.org/abs/1912.06444v1

    • [cs.LG]Double descent in the condition number
    Tomaso Poggio, Gil Kur, Andrzej Banburski
    http://arxiv.org/abs/1912.06190v1

    • [cs.LG]General Information Bottleneck Objectives and their Applications to Machine Learning
    Sayandev Mukherjee
    http://arxiv.org/abs/1912.06248v1

    • [cs.LG]Meta-Learning Initializations for Image Segmentation
    Sean M. Hendryx, Andrew B. Leach, Paul D. Hein, Clayton T. Morrison
    http://arxiv.org/abs/1912.06290v1

    • [cs.LG]More Efficient Off-Policy Evaluation through Regularized Targeted Learning
    Aurélien F. Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan
    http://arxiv.org/abs/1912.06292v1

    • [cs.LG]On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring
    Christoph Klemenjak, Anthony Faustine, Stephen Makonin, Wilfried Elmenreich
    http://arxiv.org/abs/1912.06200v1

    • [cs.LG]Potential adversarial samples for white-box attacks
    Amir Nazemi, Paul Fieguth
    http://arxiv.org/abs/1912.06409v1

    • [cs.LG]Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning
    Shuai Lü, Shuai Han, Wenbo Zhou, Junwei Zhang
    http://arxiv.org/abs/1912.06310v1

    • [cs.LG]Seizure Prediction Using Bidirectional LSTM
    Hazrat Ali, Feroz Karim, Junaid Javed Qureshi, Adnan Omer Abuassba, Mohammad Farhad Bulbul
    http://arxiv.org/abs/1912.06385v1

    • [cs.LG]WaLDORf: Wasteless Language-model Distillation On Reading-comprehension
    James Yi Tian, Alexander P. Kreuzer, Pai-Hung Chen, Hans-Martin Will
    http://arxiv.org/abs/1912.06638v1

    • [cs.NE]COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks
    Victor Costa, Nuno Lourenço, João Correia, Penousal Machado
    http://arxiv.org/abs/1912.06180v1

    • [cs.NE]Coevolution of Generative Adversarial Networks
    Victor Costa, Nuno Lourenço, Penousal Machado
    http://arxiv.org/abs/1912.06172v1

    • [cs.PF]Queueing Analysis of GPU-Based Inference Servers with Dynamic Batching: A Closed-Form Characterization
    Yoshiaki Inoue
    http://arxiv.org/abs/1912.06322v1

    • [cs.RO]That and There: Judging the Intent of Pointing Actions with Robotic Arms
    Malihe Alikhani, Baber Khalid, Rahul Shome, Chaitanya Mitash, Kostas Bekris, Matthew Stone
    http://arxiv.org/abs/1912.06602v1

    • [cs.SE]Architectural Stability Reasoning using Self-Awareness Principles: Case of Self-Adaptive Cloud Architectures
    Maria Salama, Rami Bahsoon, Rajkumar Buyya
    http://arxiv.org/abs/1912.06469v1

    • [cs.SI]Fast Computation of Katz Index for Efficient Processing of Link Prediction Queries
    Mustafa Coskun, Abdelkader Baggag, Mehmet Koyuturk
    http://arxiv.org/abs/1912.06525v1

    • [cs.SI]Maintaining Ferment: On Opinion Control Over Social Networks
    Mohak Goyal, Nikhil Karamchandani, Debasish Chatterjee, D. Manjunath
    http://arxiv.org/abs/1912.06343v1

    • [econ.EM]Network Data
    Bryan S. Graham
    http://arxiv.org/abs/1912.06346v1

    • [eess.AS]Short-duration Speaker Verification (SdSV) Challenge 2020: the Challenge Evaluation Plan
    Hossein Zeinali, Kong Aik Lee, Jahangir Alam, Lukas Burget
    http://arxiv.org/abs/1912.06311v1

    • [eess.IV]Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
    Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
    http://arxiv.org/abs/1912.06417v1

    • [eess.IV]Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
    Haojie Liu, Han shen, Lichao Huang, Ming Lu, Tong Chen, Zhan Ma
    http://arxiv.org/abs/1912.06348v1

    • [eess.SP]A Gap Analysis of Low-Cost Outdoor Air Quality Sensor In-Field Calibration
    Francesco Concas, Julien Mineraud, Eemil Lagerspetz, Samu Varjonen, Kai Puolamäki, Petteri Nurmi, Sasu Tarkoma
    http://arxiv.org/abs/1912.06384v1

    • [eess.SP]Terahertz Communications (TeraCom): Challenges and Impact on 6G Wireless Systems
    Chong Han, Yongzhi Wu, Zhi Chen, Xudong Wang
    http://arxiv.org/abs/1912.06040v2

    • [math.DS]A new method for similarity and anomaly detection in cryptocurrency markets
    Nick James, Max Menzies, Jennifer Chan
    http://arxiv.org/abs/1912.06193v1

    • [math.OC]Learning and Optimization with Bayesian Hybrid Models
    Elvis A. Eugene, Xian Gao, Alexander W. Dowling
    http://arxiv.org/abs/1912.06269v1

    • [math.OC]On Privatizing Equilibrium Computation in Aggregate Games over Networks
    Shripad Gade, Anna Winnicki, Subhonmesh Bose
    http://arxiv.org/abs/1912.06296v1

    • [math.OC]Optimization-based motion planning for multi-steered articulated vehicles
    Oskar Ljungqvist, Kristoffer Bergman, Daniel Axehill
    http://arxiv.org/abs/1912.06264v1

    • [math.ST]Central Limit Theorem for Linear Spectral Statistics of Large Dimensional Kendall’s Rank Correlation Matrices and its Applications
    Zeng Li, Qinwen Wang, Runze Li
    http://arxiv.org/abs/1912.06357v1

    • [q-bio.NC]From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
    Hidenori Tanaka, Aran Nayebi, Niru Maheswaranathan, Lane McIntosh, Stephen A. Baccus, Surya Ganguli
    http://arxiv.org/abs/1912.06207v1

    • [stat.AP]Joint modeling with time-dependent treatment and heteroskedasticity: Bayesian analysis with application to the Framingham Heart Study
    Zhuozhao Zhan, Vasan S. Ramachandran, Edwin R. van den Heuvel
    http://arxiv.org/abs/1912.06398v1

    • [stat.ME]Addressing cluster-constant covariates in mixed effects models via likelihood-based boosting techniques
    Colin Griesbach, Andreas Groll, Elisabeth Waldmann
    http://arxiv.org/abs/1912.06382v1

    • [stat.ME]Assessing effect heterogeneity of a randomized treatment using conditional inference trees
    Julian Wolfson, Brandon Koch, Ashwini Venkatasubramaniam, David Vock, Lauren Erickson
    http://arxiv.org/abs/1912.06313v1

    • [stat.ME]Best Subset Selection in Reduced Rank Regression
    Canhong Wen, Weiyu Li, Junxian Zhu, Xueqin Wang
    http://arxiv.org/abs/1912.06590v1

    • [stat.ME]Higher-dimensional spatial extremes via single-site conditioning
    Jennifer L. Wadsworth, Jonathan Tawn
    http://arxiv.org/abs/1912.06560v1

    • [stat.ML]MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection
    Runxiong Wu, Xin Chen
    http://arxiv.org/abs/1912.06342v1

    • [stat.ML]Provably Efficient Reinforcement Learning with Aggregated States
    Shi Dong, Benjamin Van Roy, Zhengyuan Zhou
    http://arxiv.org/abs/1912.06366v1

    • [stat.ML]Understanding complex predictive models with Ghost Variables
    Pedro Delicado, Daniel Peña
    http://arxiv.org/abs/1912.06407v1