cond-mat.dis-nn - 无序系统与神经网络 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.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.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.CT - 范畴论 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Effectively Trainable Semi-Quantum Restricted Boltzmann Machine
• [cs.AI]What’s a Good Prediction? Issues in Evaluating General Value Functions Through Error
• [cs.CL]Exploration Based Language Learning for Text-Based Games
• [cs.CL]Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text
• [cs.CL]Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
• [cs.CL]MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
• [cs.CL]Semi-Autoregressive Training Improves Mask-Predict Decoding
• [cs.CR]Are Distributed Ledger Technologies Ready for Smart Transportation Systems?
• [cs.CR]Wibson Protocol for Secure Data Exchange and Batch Payments
• [cs.CV]6D Object Pose Regression via Supervised Learning on Point Clouds
• [cs.CV]A Branching and Merging Convolutional Network with Homogeneous Filter Capsules
• [cs.CV]An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
• [cs.CV]Character-independent font identification
• [cs.CV]Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function
• [cs.CV]Deep Bayesian Network for Visual Question Generation
• [cs.CV]Deep Non-Line-of-Sight Reconstruction
• [cs.CV]Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
• [cs.CV]Progressive Local Filter Pruning for Image Retrieval Acceleration
• [cs.CV]RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
• [cs.CV]SOLAR: Second-Order Loss and Attention for Image Retrieval
• [cs.CV]SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
• [cs.CV]Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
• [cs.CV]Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods
• [cs.CV]TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
• [cs.CV]Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments
• [cs.CY]Interventions for Ranking in the Presence of Implicit Bias
• [cs.CY]Machine Understandable Policies and GDPR Compliance Checking
• [cs.CY]Teaching Performance Modeling in the era of millennials
• [cs.CY]Whose Tweets are Surveilled for the Police: An Audit of Social-Media Monitoring Tool via Log Files
• [cs.DC]Priority-based Fair Scheduling in Edge Computing
• [cs.HC]Machine learning based co-creative design framework
• [cs.HC]The Impact of Content Commenting on User Continuance in Online Q&A Communities: An Affordance Perspective
• [cs.IR]Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
• [cs.IR]Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood
• [cs.IT]A Combinatorial View of the Service Rates of Codes Problem, its Equivalence to Fractional Matching and its Connection with Batch Codes
• [cs.IT]A Geometric View of the Service Rates of Codes Problem and its Application to the Service Rate of the First Order Reed-Muller Codes
• [cs.IT]Bounds for the capacity error function for unidirectional channels with noiseless feedback
• [cs.IT]Families of Multidimensional Arrays with Good Autocorrelation and Asymptotically Optimal Cross-correlation
• [cs.IT]Increasing the Raw Key Rate in Energy-Time Entanglement Based Quantum Key Distribution
• [cs.IT]Intelligent Reflecting Surface Assisted Secure Wireless Communications with Multiple-Transmit and Multiple-Receive Antennas
• [cs.IT]Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
• [cs.IT]Limits on Gradient Compression for Stochastic Optimization
• [cs.IT]Maximizing the Bregman divergence from a Bregman family
• [cs.IT]Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System
• [cs.IT]Weight distributions and weight hierarchies of two classes of binary linear codes
• [cs.LG]Active Learning for Entity Alignment
• [cs.LG]Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
• [cs.LG]Compressing Language Models using Doped Kronecker Products
• [cs.LG]Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
• [cs.LG]Graph Constrained Reinforcement Learning for Natural Language Action Spaces
• [cs.LG]Improving generalisation of AutoML systems with dynamic fitness evaluations
• [cs.LG]Kernel of CycleGAN as a Principle homogeneous space
• [cs.LG]Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
• [cs.LG]MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
• [cs.LG]PDE-based Group Equivariant Convolutional Neural Networks
• [cs.LG]PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
• [cs.LG]PoWER-BERT: Accelerating BERT inference for Classification Tasks
• [cs.LG]RePAD: Real-time Proactive Anomaly Detection for Time Series
• [cs.LG]Reasoning About Generalization via Conditional Mutual Information
• [cs.LG]Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
• [cs.LG]Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
• [cs.LG]Theoretically Expressive and Edge-aware Graph Learning
• [cs.LG]Towards Graph Representation Learning in Emergent Communication
• [cs.LG]Universal Data Anomaly Detection via Inverse Generative Adversary Network
• [cs.NE]DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform
• [cs.NE]Design optimisation of a multi-mode wave energy converter
• [cs.NE]On the Performance of Metaheuristics: A Different Perspective
• [cs.NE]Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem
• [cs.NI]Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services
• [cs.NI]When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
• [cs.RO]Autonomous Control of a Line Follower Robot Using a Q-Learning Controller
• [cs.RO]Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control
• [cs.RO]Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
• [cs.RO]Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses
• [cs.RO]Perception as prediction using general value functions in autonomous driving applications
• [cs.RO]What went wrong?: Identification of Everyday Object Manipulation Anomalies
• [cs.SE]Towards a Framework for Certification of Reliable Autonomous Systems
• [cs.SI]A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations
• [cs.SI]MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks
• [cs.SI]Relational Thematic Clustering with Mutually Preferred Neighbors
• [eess.AS]Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network
• [eess.AS]Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls
• [eess.AS]Semi-supervised ASR by End-to-end Self-training
• [eess.IV]Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping
• [eess.SP]Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
• [math.CT]Rewriting Structured Cospans
• [math.OC]Cooperative versus decentralized strategies in three-pursuer single-evader games
• [math.OC]Discrete graphical models — an optimization perspective
• [math.OC]From Nesterov’s Estimate Sequence to Riemannian Acceleration
• [math.PR]Arcsine laws for random walks generated from random permutations with applications to genomics
• [math.ST]Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
• [physics.soc-ph]Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis
• [q-bio.NC]Intensity Discriminability of Electrocutaneous and Intraneural Stimulation Pulse Frequency in Intact Individuals and Amputees
• [q-bio.PE]TADPOLE Challenge: Accurate Alzheimer’s disease prediction through crowdsourced forecasting of future data
• [stat.AP]Forecasting football matches by predicting match statistics
• [stat.AP]The impact of overbooking on a pre-trial risk assessment tool
• [stat.ME]Confounder selection strategies targeting stable treatment effect estimators
• [stat.ME]Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
• [stat.ME]Optimal Design for Probit Choice Models with Dependent Utilities
• [stat.ML]Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
·····································
• [cond-mat.dis-nn]Effectively Trainable Semi-Quantum Restricted Boltzmann Machine
Ya. S. Lyakhova, E. A. Polyakov, A. N. Rubtsov
http://arxiv.org/abs/2001.08997v1
• [cs.AI]What’s a Good Prediction? Issues in Evaluating General Value Functions Through Error
Alex Kearney, Anna Koop, Patrick M. Pilarski
http://arxiv.org/abs/2001.08823v1
• [cs.CL]Exploration Based Language Learning for Text-Based Games
Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Piero Molino, Adrien Ecoffet, Huaixiu Zheng, Alexandros Papangelis, Dian Yu, Chandra Khatri, Gokhan Tur
http://arxiv.org/abs/2001.08868v1
• [cs.CL]Fine-Tuning a Transformer-Based Language Model to Avoid Generating Non-Normative Text
Xiangyu Peng, Siyan Li, Spencer Frazier, Mark Riedl
http://arxiv.org/abs/2001.08764v1
• [cs.CL]Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo
Kei Yin Ng, Anna Feldman, Jing Peng
http://arxiv.org/abs/2001.08845v1
• [cs.CL]MT-BioNER: Multi-task Learning for Biomedical Named Entity Recognition using Deep Bidirectional Transformers
Muhammad Raza Khan, Morteza Ziyadi, Mohamed AbdelHady
http://arxiv.org/abs/2001.08904v1
• [cs.CL]Semi-Autoregressive Training Improves Mask-Predict Decoding
Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer
http://arxiv.org/abs/2001.08785v1
• [cs.CR]Are Distributed Ledger Technologies Ready for Smart Transportation Systems?
Mirko Zichichi, Stefano Ferretti, Gabriele D’Angelo
http://arxiv.org/abs/2001.09018v1
• [cs.CR]Wibson Protocol for Secure Data Exchange and Batch Payments
Daniel Fernandez, Ariel Futoransky, Gustavo Ajzenman, Matias Travizano, Carlos Sarraute
http://arxiv.org/abs/2001.08832v1
• [cs.CV]6D Object Pose Regression via Supervised Learning on Point Clouds
Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
http://arxiv.org/abs/2001.08942v1
• [cs.CV]A Branching and Merging Convolutional Network with Homogeneous Filter Capsules
Adam Byerly, Tatiana Kalganova
http://arxiv.org/abs/2001.09136v1
• [cs.CV]An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection
Rujikorn Charakorn, Yuttapong Thawornwattana, Sirawaj Itthipuripat, Nick Pawlowski, Poramate Manoonpong, Nat Dilokthanakul
http://arxiv.org/abs/2001.08957v1
• [cs.CV]Character-independent font identification
Daichi Haraguchi, Shota Harada, Brian Kenji Iwana, Yuto Shinahara, Seiichi Uchida
http://arxiv.org/abs/2001.08893v1
• [cs.CV]Cloud-Net+: A Cloud Segmentation CNN for Landsat 8 Remote Sensing Imagery Optimized with Filtered Jaccard Loss Function
Sorour Mohajerani, Parvaneh Saeedi
http://arxiv.org/abs/2001.08768v1
• [cs.CV]Deep Bayesian Network for Visual Question Generation
Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar, Vinay P. Namboodiri
http://arxiv.org/abs/2001.08779v1
• [cs.CV]Deep Non-Line-of-Sight Reconstruction
Javier Grau Chopite, Matthias B. Hullin, Michael Wand, Julian Iseringhausen
http://arxiv.org/abs/2001.09067v1
• [cs.CV]Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation
Yifei Chen, Haoyu Ma, Deying Kong, Xiangyi Yan, Jianbao Wu, Wei Fan, Xiaohui Xie
http://arxiv.org/abs/2001.08869v1
• [cs.CV]Progressive Local Filter Pruning for Image Retrieval Acceleration
Xiaodong Wang, Zhedong Zheng, Yang He, Fei Yan, Zhiqiang Zeng, Yi Yang
http://arxiv.org/abs/2001.08878v1
• [cs.CV]RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
Juan Miguel Valverde, Artem Shatillo, Riccardo de Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
http://arxiv.org/abs/2001.09138v1
• [cs.CV]SOLAR: Second-Order Loss and Attention for Image Retrieval
Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk
http://arxiv.org/abs/2001.08972v1
• [cs.CV]SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma
http://arxiv.org/abs/2001.09087v1
• [cs.CV]Small, Accurate, and Fast Vehicle Re-ID on the Edge: the SAFR Approach
Abhijit Suprem, Calton Pu, Joao Eduardo Ferreira
http://arxiv.org/abs/2001.08895v1
• [cs.CV]Stochastic Optimization of Plain Convolutional Neural Networks with Simple methods
Yahia Assiri
http://arxiv.org/abs/2001.08856v1
• [cs.CV]TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
http://arxiv.org/abs/2001.09099v1
• [cs.CV]Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments
Stefan Schubert, Peer Neubert, Peter Protzel
http://arxiv.org/abs/2001.08960v1
• [cs.CY]Interventions for Ranking in the Presence of Implicit Bias
L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi
http://arxiv.org/abs/2001.08767v1
• [cs.CY]Machine Understandable Policies and GDPR Compliance Checking
Piero A. Bonatti, Sabrina Kirrane, Iliana M. Petrova, Luigi Sauro
http://arxiv.org/abs/2001.08930v1
• [cs.CY]Teaching Performance Modeling in the era of millennials
Vittoria de Nitto Personè
http://arxiv.org/abs/2001.08949v1
• [cs.CY]Whose Tweets are Surveilled for the Police: An Audit of Social-Media Monitoring Tool via Log Files
Glencora Borradaile, Brett Burkhardt, Alexandria LeClerc
http://arxiv.org/abs/2001.08777v1
• [cs.DC]Priority-based Fair Scheduling in Edge Computing
Arkadiusz Madej, Nan Wang, Nikolaos Athanasopoulos, Rajiv Ranjan, Blesson Varghese
http://arxiv.org/abs/2001.09070v1
• [cs.HC]Machine learning based co-creative design framework
Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae-eun Park
http://arxiv.org/abs/2001.08791v1
• [cs.HC]The Impact of Content Commenting on User Continuance in Online Q&A Communities: An Affordance Perspective
Langtao Chen
http://arxiv.org/abs/2001.08927v1
• [cs.IR]Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation
Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi, Fabio Crestani
http://arxiv.org/abs/2001.08961v1
• [cs.IR]Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood
Valerio Lorini, Javier Rando, Diego Saez-Trumper, Carlos Castillo
http://arxiv.org/abs/2001.08810v1
• [cs.IT]A Combinatorial View of the Service Rates of Codes Problem, its Equivalence to Fractional Matching and its Connection with Batch Codes
Fatemeh Kazemi, Esmaeil Karimi, Emina Soljanin, Alex Sprintson
http://arxiv.org/abs/2001.09146v1
• [cs.IT]A Geometric View of the Service Rates of Codes Problem and its Application to the Service Rate of the First Order Reed-Muller Codes
Fatemeh Kazemi, Sascha Kurz, Emina Soljanin
http://arxiv.org/abs/2001.09121v1
• [cs.IT]Bounds for the capacity error function for unidirectional channels with noiseless feedback
Christian Deppe, Vladimir Lebedev, Georg Maringer
http://arxiv.org/abs/2001.09030v1
• [cs.IT]Families of Multidimensional Arrays with Good Autocorrelation and Asymptotically Optimal Cross-correlation
Sam Blake
http://arxiv.org/abs/2001.08894v1
• [cs.IT]Increasing the Raw Key Rate in Energy-Time Entanglement Based Quantum Key Distribution
Esmaeil Karimi, Emina Soljanin, Philip Whiting
http://arxiv.org/abs/2001.09049v1
• [cs.IT]Intelligent Reflecting Surface Assisted Secure Wireless Communications with Multiple-Transmit and Multiple-Receive Antennas
Weiheng Jiang, Yu Zhang, Jinsong Wu, Wenjiang Feng, Yi Jin
http://arxiv.org/abs/2001.08963v1
• [cs.IT]Intelligent Reflecting Surface-Assisted Multiple Access with User Pairing: NOMA or OMA?
Beixiong Zheng, Qingqing Wu, Rui Zhang
http://arxiv.org/abs/2001.08909v1
• [cs.IT]Limits on Gradient Compression for Stochastic Optimization
Prathamesh Mayekar, Himanshu Tyagi
http://arxiv.org/abs/2001.09032v1
• [cs.IT]Maximizing the Bregman divergence from a Bregman family
Johannes Rauh, František Matúš
http://arxiv.org/abs/2001.08813v1
• [cs.IT]Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System
Thinh Quang Dinh, Ben Liang, Tony Q. S. Quek, Hyundong Shin
http://arxiv.org/abs/2001.08956v1
• [cs.IT]Weight distributions and weight hierarchies of two classes of binary linear codes
Fei Li
http://arxiv.org/abs/2001.08875v1
• [cs.LG]Active Learning for Entity Alignment
Max Berrendorf, Evgeniy Faerman, Volker Tresp
http://arxiv.org/abs/2001.08943v1
• [cs.LG]Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Byung Hoon Ahn, Prannoy Pilligundla, Amir Yazdanbakhsh, Hadi Esmaeilzadeh
http://arxiv.org/abs/2001.08743v1
• [cs.LG]Compressing Language Models using Doped Kronecker Products
Urmish Thakker, Paul Whatamough, Matthew Mattina, Jesse Beu
http://arxiv.org/abs/2001.08896v1
• [cs.LG]Estimation for Compositional Data using Measurements from Nonlinear Systems using Artificial Neural Networks
Se Un Park
http://arxiv.org/abs/2001.09040v1
• [cs.LG]Graph Constrained Reinforcement Learning for Natural Language Action Spaces
Prithviraj Ammanabrolu, Matthew Hausknecht
http://arxiv.org/abs/2001.08837v1
• [cs.LG]Improving generalisation of AutoML systems with dynamic fitness evaluations
Benjamin Patrick Evans, Bing Xue, Mengjie Zhang
http://arxiv.org/abs/2001.08842v1
• [cs.LG]Kernel of CycleGAN as a Principle homogeneous space
Nikita Moriakov, Jonas Adler, Jonas Teuwen
http://arxiv.org/abs/2001.09061v1
• [cs.LG]Localization of Critical Findings in Chest X-Ray without Local Annotations Using Multi-Instance Learning
Evan Schwab, André Gooßen, Hrishikesh Deshpande, Axel Saalbach
http://arxiv.org/abs/2001.08817v1
• [cs.LG]MagNet: Discovering Multi-agent Interaction Dynamics using Neural Network
Priyabrata Saha, Arslan Ali, Burhan A. Mudassar, Yun Long, Saibal Mukhopadhyay
http://arxiv.org/abs/2001.09001v1
• [cs.LG]PDE-based Group Equivariant Convolutional Neural Networks
Bart Smets, Jim Portegies, Erik Bekkers, Remco Duits
http://arxiv.org/abs/2001.09046v1
• [cs.LG]PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
Luna M. Zhang
http://arxiv.org/abs/2001.08886v1
• [cs.LG]PoWER-BERT: Accelerating BERT inference for Classification Tasks
Saurabh Goyal, Anamitra Roy Choudhary, Venkatesan Chakaravarthy, Saurabh ManishRaje, Yogish Sabharwal, Ashish Verma
http://arxiv.org/abs/2001.08950v1
• [cs.LG]RePAD: Real-time Proactive Anomaly Detection for Time Series
Ming-Chang Lee, Jia-Chun Lin, Ernst Gunnar Gran
http://arxiv.org/abs/2001.08922v1
• [cs.LG]Reasoning About Generalization via Conditional Mutual Information
Thomas Steinke, Lydia Zakynthinou
http://arxiv.org/abs/2001.09122v1
• [cs.LG]Reducing the Representation Error of GAN Image Priors Using the Deep Decoder
Max Daniels, Paul Hand, Reinhard Heckel
http://arxiv.org/abs/2001.08747v1
• [cs.LG]Simple and Effective Prevention of Mode Collapse in Deep One-Class Classification
Penny Chong, Lukas Ruff, Marius Kloft, Alexander Binder
http://arxiv.org/abs/2001.08873v1
• [cs.LG]Theoretically Expressive and Edge-aware Graph Learning
Federico Errica, Davide Bacciu, Alessio Micheli
http://arxiv.org/abs/2001.09005v1
• [cs.LG]Towards Graph Representation Learning in Emergent Communication
Agnieszka Słowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden
http://arxiv.org/abs/2001.09063v1
• [cs.LG]Universal Data Anomaly Detection via Inverse Generative Adversary Network
Kursat Rasim Mestav, Lang Tong
http://arxiv.org/abs/2001.08809v1
• [cs.NE]DCT-Conv: Coding filters in convolutional networks with Discrete Cosine Transform
Karol Chęciński, Paweł Wawrzyński
http://arxiv.org/abs/2001.08517v2
• [cs.NE]Design optimisation of a multi-mode wave energy converter
Nataliia Y. Sergiienko, Mehdi Neshat, Leandro S. P. da Silva, Bradley Alexander, Markus Wagner
http://arxiv.org/abs/2001.08966v1
• [cs.NE]On the Performance of Metaheuristics: A Different Perspective
Hamid Reza Boveiri, Raouf Khayami
http://arxiv.org/abs/2001.08928v1
• [cs.NE]Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem
Feng Shi, Frank Neumann, Jianxin Wang
http://arxiv.org/abs/2001.08903v1
• [cs.NI]Synchronous Transmissions in Low-Power Wireless: A Survey of Communication Protocols and Network Services
Marco Zimmerling, Luca Mottola, Silvia Santini
http://arxiv.org/abs/2001.08557v2
• [cs.NI]When Wireless Security Meets Machine Learning: Motivation, Challenges, and Research Directions
Yalin E. Sagduyu, Yi Shi, Tugba Erpek, William Headley, Bryse Flowers, George Stantchev, Zhuo Lu
http://arxiv.org/abs/2001.08883v1
• [cs.RO]Autonomous Control of a Line Follower Robot Using a Q-Learning Controller
Sepehr Saadatmand, Sima Azizi, Mohammadamir Kavousi, Donald Wunsch
http://arxiv.org/abs/2001.08841v1
• [cs.RO]Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control
Jacob A. George, Troy N. Tully, Paul C. Colgan, Gregory A. Clark
http://arxiv.org/abs/2001.08807v1
• [cs.RO]Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
Giovanni Sutanto, Austin Wang, Yixin Lin, Mustafa Mukadam, Gaurav Sukhatme, Akshara Rai, Franziska Meier
http://arxiv.org/abs/2001.08861v1
• [cs.RO]Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses
Jacob A. George, Sridharan Radhakrishnan, Mark R. Brinton, Gregory A. Clark
http://arxiv.org/abs/2001.08805v1
• [cs.RO]Perception as prediction using general value functions in autonomous driving applications
Daniel Graves, Kasra Rezaee, Sean Scheideman
http://arxiv.org/abs/2001.09113v1
• [cs.RO]What went wrong?: Identification of Everyday Object Manipulation Anomalies
Dogan Altan, Sanem Sariel
http://arxiv.org/abs/2001.09084v1
• [cs.SE]Towards a Framework for Certification of Reliable Autonomous Systems
Michael Fisher, Viviana Mascardi, Kristin Yvonne Rozier, Bernd-Holger Schlingloff, Michael Winikoff, Neil Yorke-Smith
http://arxiv.org/abs/2001.09124v1
• [cs.SI]A Dynamical Systems Perspective Reveals Coordination in Russian Twitter Operations
Sarah Rajtmajer, Ashish Simhachalam, Thomas Zhao, Brady Bickel, Chris Griffin
http://arxiv.org/abs/2001.08816v1
• [cs.SI]MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Social Networks
Jihoon Ko, Kyuhan Lee, Kijung Shin, Noseong Park
http://arxiv.org/abs/2001.08853v1
• [cs.SI]Relational Thematic Clustering with Mutually Preferred Neighbors
Tiantian He, Lu Bai, Yew-Soon Ong
http://arxiv.org/abs/2001.08412v1
• [eess.AS]Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network
Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta
http://arxiv.org/abs/2001.08885v1
• [eess.AS]Performance of a Deep Neural Network at Detecting North Atlantic Right Whale Upcalls
Oliver S. Kirsebom, Fabio Frazao, Yvan Simard, Nathalie Roy, Stan Matwin, Samuel Giard
http://arxiv.org/abs/2001.09127v1
• [eess.AS]Semi-supervised ASR by End-to-end Self-training
Yang Chen, Weiran Wang, Chao Wang
http://arxiv.org/abs/2001.09128v1
• [eess.IV]Polarimetric Guided Nonlocal Means Covariance Matrix Estimation for Defoliation Mapping
Jørgen A. Agersborg, Stian Normann Anfinsen, Jane Uhd Jepsen
http://arxiv.org/abs/2001.08976v1
• [eess.SP]Joint Long-Term Cache Updating and Short-Term Content Delivery in Cloud-Based Small Cell Networks
Xiongwei Wu, Qiang Li, Xiuhua Li, Victor C. M. Leung, P. C. Ching
http://arxiv.org/abs/2001.09093v1
• [math.CT]Rewriting Structured Cospans
Daniel Cicala
http://arxiv.org/abs/2001.09029v1
• [math.OC]Cooperative versus decentralized strategies in three-pursuer single-evader games
Marco Casini, Andrea Garulli
http://arxiv.org/abs/2001.09048v1
• [math.OC]Discrete graphical models — an optimization perspective
Bogdan Savchynskyy
http://arxiv.org/abs/2001.09017v1
• [math.OC]From Nesterov’s Estimate Sequence to Riemannian Acceleration
Kwangjun Ahn, Suvrit Sra
http://arxiv.org/abs/2001.08876v1
• [math.PR]Arcsine laws for random walks generated from random permutations with applications to genomics
Xiao Fang, Han Liang Gan, Susan Holmes, Haiyan Huang, Erol Peköz, Adrian Röllin, Wenpin Tang
http://arxiv.org/abs/2001.08857v1
• [math.ST]Distributed Gaussian Mean Estimation under Communication Constraints: Optimal Rates and Communication-Efficient Algorithms
T. Tony Cai, Hongji Wei
http://arxiv.org/abs/2001.08877v1
• [physics.soc-ph]Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis
Roland Molontay, Marcell Nagy
http://arxiv.org/abs/2001.09006v1
• [q-bio.NC]Intensity Discriminability of Electrocutaneous and Intraneural Stimulation Pulse Frequency in Intact Individuals and Amputees
Jacob A. George, Mark R. Brinton, Paul C. Colgan, Garrison K. Colvin, Sliman J. Bensmaia, Gregory A. Clark
http://arxiv.org/abs/2001.08808v1
• [q-bio.PE]TADPOLE Challenge: Accurate Alzheimer’s disease prediction through crowdsourced forecasting of future data
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander
http://arxiv.org/abs/2001.09016v1
• [stat.AP]Forecasting football matches by predicting match statistics
Edward Wheatcroft
http://arxiv.org/abs/2001.09097v1
• [stat.AP]The impact of overbooking on a pre-trial risk assessment tool
Kristian Lum, Chesa Boudin, Megan Price
http://arxiv.org/abs/2001.08793v1
• [stat.ME]Confounder selection strategies targeting stable treatment effect estimators
Wen Wei Loh, Stijn Vansteelandt
http://arxiv.org/abs/2001.08971v1
• [stat.ME]Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
http://arxiv.org/abs/2001.08089v3
• [stat.ME]Optimal Design for Probit Choice Models with Dependent Utilities
Ulrike Graßhoff, Heiko Großmann, Heinz Holling, Rainer Schwabe
http://arxiv.org/abs/2001.09036v1
• [stat.ML]Sparse Semi-supervised Heterogeneous Interbattery Bayesian Analysis
Carlos Sevilla-Salcedo, Vanessa Gómez-Verdejo, Pablo M. Olmos
http://arxiv.org/abs/2001.08975v1