cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 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.MM - 多媒体 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.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.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ML - (统计)机器学习
• [cond-mat.stat-mech]Minimum entropy production in multipartite processes due to neighborhood constraints
• [cs.AI]An adaptive data-driven approach to solve real-world vehicle routing problems in logistics
• [cs.AI]Context-Aware Design of Cyber-Physical Human Systems (CPHS)
• [cs.AI]Data Curves Clustering Using Common Patterns Detection
• [cs.AI]Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
• [cs.AI]Exploring Unknown Universes in Probabilistic Relational Models
• [cs.AI]Hierarchical Reinforcement Learning as a Model of Human Task Interleaving
• [cs.AI]IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules
• [cs.AI]Incentivizing the Emergence of Grounded Discrete Communication Between General Agents
• [cs.AI]Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces
• [cs.AI]Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
• [cs.CL]A Comprehensive Survey of Multilingual Neural Machine Translation
• [cs.CL]Attention over Parameters for Dialogue Systems
• [cs.CL]Heaps’ law and Heaps functions in tagged texts: Evidences of their linguistic relevance
• [cs.CL]Knowledge-aware Attention Network for Protein-Protein Interaction Extraction
• [cs.CL]Learning Speaker Embedding with Momentum Contrast
• [cs.CL]Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network
• [cs.CL]Paraphrase Generation with Latent Bag of Words
• [cs.CL]RECAST: Interactive Auditing of Automatic Toxicity Detection Models
• [cs.CL]Text Complexity Classification Based on Linguistic Information: Application to Intelligent Tutoring of ESL
• [cs.CR]Effective scaling of blockchain beyond consensus innovations and Moore’s law
• [cs.CV]A water-obstacle separation and refinement network for unmanned surface vehicles
• [cs.CV]AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map
• [cs.CV]An Exploration of Embodied Visual Exploration
• [cs.CV]Automated Pavement Crack Segmentation Using Fully Convolutional U-Net with a Pretrained ResNet-34 Encoder
• [cs.CV]Deep Reinforcement Learning for Active Human Pose Estimation
• [cs.CV]Deep Video Super-Resolution using HR Optical Flow Estimation
• [cs.CV]Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation
• [cs.CV]Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
• [cs.CV]Fast and robust multiplane single molecule localization microscopy using deep neural network
• [cs.CV]From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
• [cs.CV]General 3D Room Layout from a Single View by Render-and-Compare
• [cs.CV]HybridPose: 6D Object Pose Estimation under Hybrid Representations
• [cs.CV]Implementation of the VBM3D Video Denoising Method and Some Variants
• [cs.CV]Inferring Convolutional Neural Networks’ accuracies from their architectural characterizations
• [cs.CV]MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection
• [cs.CV]MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration
• [cs.CV]Meshlet Priors for 3D Mesh Reconstruction
• [cs.CV]Plug-and-Play Rescaling Based Crowd Counting in Static Images
• [cs.CV]State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks
• [cs.CV]The Pedestrian Patterns Dataset
• [cs.CV]Trained Trajectory based Automated Parking System using Visual SLAM
• [cs.CY]Artificial Intelligence for Social Good: A Survey
• [cs.CY]Multiple criteria decision analysis with the SRF-II method to compare hypotheses of adaptive reuse for an iconic historical building
• [cs.DB]Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces
• [cs.DC]AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs
• [cs.DC]Equivalence Classes and Conditional Hardness in Massively Parallel Computations
• [cs.DC]High Performance I/O For Large Scale Deep Learning
• [cs.DC]Universal Wait-Free Memory Reclamation
• [cs.HC]CNN 101: Interactive Visual Learning for Convolutional Neural Networks
• [cs.IR]Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation
• [cs.IR]Listwise Learning to Rank by Exploring Unique Ratings
• [cs.IR]Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage
• [cs.IT]Codes over Trees
• [cs.IT]Efficient ML Direction of Arrival Estimation assuming Unknown Sensor Noise Powers
• [cs.IT]Entropy-Constrained Maximizing Mutual Information Quantization
• [cs.IT]IRS-based Wireless Jamming Attacks: When Jammers can Attack without Power
• [cs.IT]On Bounds and Closed Form Expressions for Capacities of Discrete Memoryless Channels with Invertible Positive Matrices
• [cs.IT]Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities
• [cs.IT]Stochastic Geometry Analysis of Sojourn Time in Multi-Tier Cellular Networks
• [cs.IT]The Langberg-Médard Multiple Unicast Conjecture: Stable $3$-Pair Networks
• [cs.LG]A System for Real-Time Interactive Analysis of Deep Learning Training
• [cs.LG]Discovering Nonlinear Relations with Minimum Predictive Information Regularization
• [cs.LG]Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
• [cs.LG]Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar
• [cs.LG]Fair Active Learning
• [cs.LG]FedDANE: A Federated Newton-Type Method
• [cs.LG]Frosting Weights for Better Continual Training
• [cs.LG]Generalized mean shift with triangular kernel profile
• [cs.LG]Investigation and Analysis of Hyper and Hypo neuron pruning to selectively update neurons during Unsupervised Adaptation
• [cs.LG]Offline Contextual Bayesian Optimization for Nuclear Fusion
• [cs.LG]PaRoT: A Practical Framework for Robust Deep NeuralNetwork Training
• [cs.LG]Phase Transitions for the Information Bottleneck in Representation Learning
• [cs.LG]Prediction of Drug Synergy by Ensemble Learning
• [cs.LG]Prediction of MRI Hardware Failures based on Image Features using Time Series Classification
• [cs.LG]Reanalysis of Variance Reduced Temporal Difference Learning
• [cs.LG]Regularization via Structural Label Smoothing
• [cs.LG]Reinforcement Learning via Fenchel-Rockafellar Duality
• [cs.LG]Scalable Gradients for Stochastic Differential Equations
• [cs.LG]Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering
• [cs.LG]Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring
• [cs.LG]Sparse Weight Activation Training
• [cs.LG]Vamsa: Tracking Provenance in Data Science Scripts
• [cs.MM]SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning
• [cs.NE]Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function
• [cs.NE]Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks
• [cs.NI]Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method
• [cs.RO]Self learning robot using real-time neural networks
• [cs.SI]Network-Based Analysis of Public Transportation Systems in North American Cities
• [cs.SI]Quantifying Polarization on Twitter: the Kavanaugh Nomination
• [cs.SI]Spatial Applications of Topological Data Analysis: Cities, Snowflakes, Random Structures, and Spiders Spinning Under the Influence
• [cs.SI]Time-constrained Adaptive Influence Maximization
• [eess.AS]Character-Aware Attention-Based End-to-End Speech Recognition
• [eess.AS]Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition
• [eess.IV]Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
• [eess.IV]Detection of Diabetic Anomalies in Retinal Images using Morphological Cascading Decision Tree
• [eess.IV]Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection
• [eess.IV]Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
• [eess.SP]Bridge Modal Identification using Acceleration Measurements within Moving Vehicles
• [eess.SP]Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning
• [eess.SP]Load Balanced Dynamic Resource Allocation for MTC Relay
• [eess.SP]Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis
• [eess.SP]Multitask learning over graphs
• [eess.SP]On the Uniqueness of Binary Quantizers for Maximizing Mutual Information
• [eess.SP]Single-bit Quantization Capacity of Binary-input Continuous-output Channels
• [math.NA]A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy
• [math.OC]Backtracking Gradient Descent allowing unbounded learning rates
• [math.ST]Statistical Inference for High-Dimensional Matrix-Variate Factor Model
• [physics.soc-ph]Whos Ditching the Bus?
• [q-bio.BM]On-the-fly Prediction of Protein Hydration Densities and Free Energies using Deep Learning
• [quant-ph]Permutation Enhances Classical Communication Assisted by Entangled States
• [stat.AP]A semi-supervised learning framework for quantitative structure-activity regression modelling
• [stat.AP]Future Proofing a Building Design Using History Matching Inspired Level Set Techniques
• [stat.AP]Position Dilution of Precision and Bayesian Model of the Observation Error
• [stat.AP]School value-added models for multivariate academic and non-academic outcomes: A more rounded approach to using student data to inform school accountability
• [stat.AP]Selection Induced Contrast Estimate (SICE) Effect: An Attempt to Quantify the Impact of Some Patient Selection Criteria in Randomized Clinical Trials
• [stat.CO]Discrete event simulation of point processes: A computational complexity analysis on sparse graphs
• [stat.ML]An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection
• [stat.ML]CatBoostLSS — An extension of CatBoost to probabilistic forecasting
• [stat.ML]Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
• [stat.ML]Clustering Binary Data by Application of Combinatorial Optimization Heuristics
• [stat.ML]MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
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• [cond-mat.stat-mech]Minimum entropy production in multipartite processes due to neighborhood constraints
David H Wolpert
http://arxiv.org/abs/2001.02205v1
• [cs.AI]An adaptive data-driven approach to solve real-world vehicle routing problems in logistics
Emir Zunic, Dzenana Donko, Emir Buza
http://arxiv.org/abs/2001.02094v1
• [cs.AI]Context-Aware Design of Cyber-Physical Human Systems (CPHS)
Supratik Mukhopadhyay, Qun Liu, Edward Collier, Yimin Zhu, Ravindra Gudishala, Chanachok Chokwitthaya, Robert DiBiano, Alimire Nabijiang, Sanaz Saeidi, Subhajit Sidhanta, Arnab Ganguly
http://arxiv.org/abs/2001.01918v1
• [cs.AI]Data Curves Clustering Using Common Patterns Detection
Konstantinos F. Xylogiannopoulos
http://arxiv.org/abs/2001.02095v1
• [cs.AI]Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
Yunfeng Zhang, Q. Vera Liao, Rachel K. E. Bellamy
http://arxiv.org/abs/2001.02114v1
• [cs.AI]Exploring Unknown Universes in Probabilistic Relational Models
Tanya Braun, Ralf Möller
http://arxiv.org/abs/2001.02021v1
• [cs.AI]Hierarchical Reinforcement Learning as a Model of Human Task Interleaving
Christoph Gebhardt, Antti Oulasvirta, Otmar Hilliges
http://arxiv.org/abs/2001.02122v1
• [cs.AI]IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules
Bishwamittra Ghosh, Kuldeep S. Meel
http://arxiv.org/abs/2001.01891v1
• [cs.AI]Incentivizing the Emergence of Grounded Discrete Communication Between General Agents
Thomas A. Unger, Elia Bruni
http://arxiv.org/abs/2001.01772v1
• [cs.AI]Intrinsic Motivation and Episodic Memories for Robot Exploration of High-Dimensional Sensory Spaces
Guido Schillaci, Antonio Pico Villalpando, Verena Vanessa Hafner, Peter Hanappe, David Colliaux, Timothée Wintz
http://arxiv.org/abs/2001.01982v1
• [cs.AI]Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
Patrick Rodler
http://arxiv.org/abs/2001.01835v1
• [cs.CL]A Comprehensive Survey of Multilingual Neural Machine Translation
Raj Dabre, Chenhui Chu, Anoop Kunchukuttan
http://arxiv.org/abs/2001.01115v2
• [cs.CL]Attention over Parameters for Dialogue Systems
Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, Jamin Shin, Pascale Fung
http://arxiv.org/abs/2001.01871v1
• [cs.CL]Heaps’ law and Heaps functions in tagged texts: Evidences of their linguistic relevance
Andrés Chacoma, Damián H. Zanette
http://arxiv.org/abs/2001.02178v1
• [cs.CL]Knowledge-aware Attention Network for Protein-Protein Interaction Extraction
Huiwei Zhou, Zhuang Liu1, Shixian Ning, Chengkun Lang, Yingyu Lin, Lei Du
http://arxiv.org/abs/2001.02091v1
• [cs.CL]Learning Speaker Embedding with Momentum Contrast
Ke Ding, Xuanji He, Guanglu Wan
http://arxiv.org/abs/2001.01986v1
• [cs.CL]Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network
Huiwei Zhou, Zhuang Liu, Shixian Ning, Yunlong Yang, Chengkun Lang, Yingyu Lin, Kun Ma
http://arxiv.org/abs/2001.02107v1
• [cs.CL]Paraphrase Generation with Latent Bag of Words
Yao Fu, Yansong Feng, John P. Cunningham
http://arxiv.org/abs/2001.01941v1
• [cs.CL]RECAST: Interactive Auditing of Automatic Toxicity Detection Models
Austin P. Wright, Omar Shaikh, Haekyu Park, Will Epperson, Muhammed Ahmed, Stephane Pinel, Diyi Yang, Duen Horng, Chau
http://arxiv.org/abs/2001.01819v1
• [cs.CL]Text Complexity Classification Based on Linguistic Information: Application to Intelligent Tutoring of ESL
M. Zakaria Kurdi
http://arxiv.org/abs/2001.01863v1
• [cs.CR]Effective scaling of blockchain beyond consensus innovations and Moore’s law
Yinqiu Liu, Kai Qian, Jinlong Yu, Kun Wang, Lei He
http://arxiv.org/abs/2001.01865v1
• [cs.CV]A water-obstacle separation and refinement network for unmanned surface vehicles
Borja Bovcon, Matej Kristan
http://arxiv.org/abs/2001.01921v1
• [cs.CV]AD-VO: Scale-Resilient Visual Odometry Using Attentive Disparity Map
Joosung Lee, Sangwon Hwang, Kyungjae Lee, Woo Jin Kim, Junhyeop Lee, Tae-young Chung, Sangyoun Lee
http://arxiv.org/abs/2001.02090v1
• [cs.CV]An Exploration of Embodied Visual Exploration
Santhosh K. Ramakrishnan, Dinesh Jayaraman, Kristen Grauman
http://arxiv.org/abs/2001.02192v1
• [cs.CV]Automated Pavement Crack Segmentation Using Fully Convolutional U-Net with a Pretrained ResNet-34 Encoder
Stephen L. H. Lau, Xin Wang, Yang Xu, Edwin K. P. Chong
http://arxiv.org/abs/2001.01912v1
• [cs.CV]Deep Reinforcement Learning for Active Human Pose Estimation
Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu
http://arxiv.org/abs/2001.02024v1
• [cs.CV]Deep Video Super-Resolution using HR Optical Flow Estimation
Longguang Wang, Yulan Guo, Li Liu, Zaiping Lin, Xinpu Deng, Wei An
http://arxiv.org/abs/2001.02129v1
• [cs.CV]Delineating Bone Surfaces in B-Mode Images Constrained by Physics of Ultrasound Propagation
Firat Ozdemir, Christine Tanner, Orcun Goksel
http://arxiv.org/abs/2001.02001v1
• [cs.CV]Dynamic Task Weighting Methods for Multi-task Networks in Autonomous Driving Systems
Isabelle Leang, Ganesh Sistu, Fabian Burger, Andrei Bursuc, Senthil Yogamani
http://arxiv.org/abs/2001.02223v1
• [cs.CV]Fast and robust multiplane single molecule localization microscopy using deep neural network
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
http://arxiv.org/abs/2001.01893v1
• [cs.CV]From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao
http://arxiv.org/abs/2001.01886v1
• [cs.CV]General 3D Room Layout from a Single View by Render-and-Compare
Sinisa Stekovic, Friedrich Fraundorfer, Vincent Lepetit
http://arxiv.org/abs/2001.02149v1
• [cs.CV]HybridPose: 6D Object Pose Estimation under Hybrid Representations
Chen Song, Jiaru Song, Qixing Huang
http://arxiv.org/abs/2001.01869v1
• [cs.CV]Implementation of the VBM3D Video Denoising Method and Some Variants
Thibaud Ehret, Pablo Arias
http://arxiv.org/abs/2001.01802v1
• [cs.CV]Inferring Convolutional Neural Networks’ accuracies from their architectural characterizations
D. Hoang, J. Hamer, G. N. Perdue, S. R. Young, J. Miller, A. Ghosh
http://arxiv.org/abs/2001.02160v1
• [cs.CV]MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection
James H. Elder, Emilio J. Almazàn, Yiming Qian, Ron Tal
http://arxiv.org/abs/2001.01788v1
• [cs.CV]MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration
Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
http://arxiv.org/abs/2001.01870v1
• [cs.CV]Meshlet Priors for 3D Mesh Reconstruction
Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen
http://arxiv.org/abs/2001.01744v1
• [cs.CV]Plug-and-Play Rescaling Based Crowd Counting in Static Images
Usman Sajid, Guanghui Wang
http://arxiv.org/abs/2001.01786v1
• [cs.CV]State Transition Modeling of the Smoking Behavior using LSTM Recurrent Neural Networks
Chrisogonas O. Odhiambo, Casey A. Cole, Alaleh Torkjazi, Homayoun Valafar
http://arxiv.org/abs/2001.02101v1
• [cs.CV]The Pedestrian Patterns Dataset
Kasra Mokhtari, Alan R. Wagner
http://arxiv.org/abs/2001.01816v1
• [cs.CV]Trained Trajectory based Automated Parking System using Visual SLAM
Nivedita Tripathi, Ganesh Sistu, Senthil Yogamani
http://arxiv.org/abs/2001.02161v1
• [cs.CY]Artificial Intelligence for Social Good: A Survey
Zheyuan Ryan Shi, Claire Wang, Fei Fang
http://arxiv.org/abs/2001.01818v1
• [cs.CY]Multiple criteria decision analysis with the SRF-II method to compare hypotheses of adaptive reuse for an iconic historical building
Francesca Abastante, Salvatore Corrente, Salvatore Greco, Isabella Lami, Beatrice Mecca
http://arxiv.org/abs/2001.01964v1
• [cs.DB]Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces
Yiru Chen, Eugene Wu
http://arxiv.org/abs/2001.01902v1
• [cs.DC]AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs
Kazuaki Matsumura, Hamid Reza Zohouri, Mohamed Wahib, Toshio Endo, Satoshi Matsuoka
http://arxiv.org/abs/2001.01473v2
• [cs.DC]Equivalence Classes and Conditional Hardness in Massively Parallel Computations
Danupon Nanongkai, Michele Scquizzato
http://arxiv.org/abs/2001.02191v1
• [cs.DC]High Performance I/O For Large Scale Deep Learning
Alex Aizman, Gavin Maltby, Thomas Breuel
http://arxiv.org/abs/2001.01858v1
• [cs.DC]Universal Wait-Free Memory Reclamation
Ruslan Nikolaev, Binoy Ravindran
http://arxiv.org/abs/2001.01999v1
• [cs.HC]CNN 101: Interactive Visual Learning for Convolutional Neural Networks
Zijie J. Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, Duen Horng Chau
http://arxiv.org/abs/2001.02004v1
• [cs.IR]Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation
Di You, Nguyen Vo, Kyumin Lee, Qiang Liu
http://arxiv.org/abs/2001.02214v1
• [cs.IR]Listwise Learning to Rank by Exploring Unique Ratings
Xiaofeng Zhu, Diego Klabjan
http://arxiv.org/abs/2001.01828v1
• [cs.IR]Machine-learning classifiers for logographic name matching in public health applications: approaches for incorporating phonetic, visual, and keystroke similarity in large-scale probabilistic record linkage
Philip A. Collender, Zhiyue Tom Hu, Charles Li, Qu Cheng, Xintong Li, Yue You, Song Liang, Changhong Yang, Justin V. Remais
http://arxiv.org/abs/2001.01895v1
• [cs.IT]Codes over Trees
Lev Yohananov, Eitan yaakobi
http://arxiv.org/abs/2001.01791v1
• [cs.IT]Efficient ML Direction of Arrival Estimation assuming Unknown Sensor Noise Powers
J. Selva
http://arxiv.org/abs/2001.01935v1
• [cs.IT]Entropy-Constrained Maximizing Mutual Information Quantization
Thuan Nguyen, Thinh Nguyen
http://arxiv.org/abs/2001.01830v1
• [cs.IT]IRS-based Wireless Jamming Attacks: When Jammers can Attack without Power
Bin Lyu, Dinh Thai Hoang, Shimin Gong, Dusit Niyato, Dong In Kim
http://arxiv.org/abs/2001.01887v1
• [cs.IT]On Bounds and Closed Form Expressions for Capacities of Discrete Memoryless Channels with Invertible Positive Matrices
Thuan Nguyen, Thinh Nguyen
http://arxiv.org/abs/2001.01847v1
• [cs.IT]Optimal Transmission of Multi-Quality Tiled 360 VR Video by Exploiting Multicast Opportunities
Kaixuan Long, Ying Cui, Chencheng Ye, Zhi Liu
http://arxiv.org/abs/2001.01906v1
• [cs.IT]Stochastic Geometry Analysis of Sojourn Time in Multi-Tier Cellular Networks
Mohammad Salehi, Ekram Hossain
http://arxiv.org/abs/2001.01884v1
• [cs.IT]The Langberg-Médard Multiple Unicast Conjecture: Stable $3$-Pair Networks
Kai Cai, Guangyue Han
http://arxiv.org/abs/2001.02017v1
• [cs.LG]A System for Real-Time Interactive Analysis of Deep Learning Training
Shital Shah, Roland Fernandez, Steven Drucker
http://arxiv.org/abs/2001.01215v2
• [cs.LG]Discovering Nonlinear Relations with Minimum Predictive Information Regularization
Tailin Wu, Thomas Breuel, Michael Skuhersky, Jan Kautz
http://arxiv.org/abs/2001.01885v1
• [cs.LG]Dissecting Catastrophic Forgetting in Continual Learning by Deep Visualization
Giang Nguyen, Shuan Chen, Thao Do, Tae Joon Jun, Ho-Jin Choi, Daeyoung Kim
http://arxiv.org/abs/2001.01578v2
• [cs.LG]Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar
Charles E. Thornton, R. Michael Buehrer, Anthony F. Martone, Kelly D. Sherbondy
http://arxiv.org/abs/2001.01799v1
• [cs.LG]Fair Active Learning
Hadis Anahideh, Abolfazl Asudeh
http://arxiv.org/abs/2001.01796v1
• [cs.LG]FedDANE: A Federated Newton-Type Method
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith
http://arxiv.org/abs/2001.01920v1
• [cs.LG]Frosting Weights for Better Continual Training
Xiaofeng Zhu, Feng Liu, Goce Trajcevski, Dingding Wang
http://arxiv.org/abs/2001.01829v1
• [cs.LG]Generalized mean shift with triangular kernel profile
Sébastien Razakarivony, Axel Barrau
http://arxiv.org/abs/2001.02165v1
• [cs.LG]Investigation and Analysis of Hyper and Hypo neuron pruning to selectively update neurons during Unsupervised Adaptation
Vikramjit Mitra, Horacio Franco
http://arxiv.org/abs/2001.01755v1
• [cs.LG]Offline Contextual Bayesian Optimization for Nuclear Fusion
Youngseog Chung, Ian Char, Willie Neiswanger, Kirthevasan Kandasamy, Andrew Oakleigh Nelson, Mark D Boyer, Egemen Kolemen, Jeff Schneider
http://arxiv.org/abs/2001.01793v1
• [cs.LG]PaRoT: A Practical Framework for Robust Deep NeuralNetwork Training
Edward Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside
http://arxiv.org/abs/2001.02152v1
• [cs.LG]Phase Transitions for the Information Bottleneck in Representation Learning
Tailin Wu, Ian Fischer
http://arxiv.org/abs/2001.01878v1
• [cs.LG]Prediction of Drug Synergy by Ensemble Learning
Işıksu Ekşioğlu, Mehmet Tan
http://arxiv.org/abs/2001.01997v1
• [cs.LG]Prediction of MRI Hardware Failures based on Image Features using Time Series Classification
Nadine Kuhnert, Lea Pflüger, Andreas Maier
http://arxiv.org/abs/2001.02127v1
• [cs.LG]Reanalysis of Variance Reduced Temporal Difference Learning
Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang
http://arxiv.org/abs/2001.01898v1
• [cs.LG]Regularization via Structural Label Smoothing
Weizhi Li, Gautam Dasarathy, Visar Berisha
http://arxiv.org/abs/2001.01900v1
• [cs.LG]Reinforcement Learning via Fenchel-Rockafellar Duality
Ofir Nachum, Bo Dai
http://arxiv.org/abs/2001.01866v1
• [cs.LG]Scalable Gradients for Stochastic Differential Equations
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
http://arxiv.org/abs/2001.01328v2
• [cs.LG]Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering
Yohan Jung, Jinkyoo Park
http://arxiv.org/abs/2001.01917v1
• [cs.LG]Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring
Sibylle Hess, Wouter Duivesteijn, Decebal Mocanu
http://arxiv.org/abs/2001.01987v1
• [cs.LG]Sparse Weight Activation Training
Md Aamir Raihan, Tor M. Aamodt
http://arxiv.org/abs/2001.01969v1
• [cs.LG]Vamsa: Tracking Provenance in Data Science Scripts
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
http://arxiv.org/abs/2001.01861v1
• [cs.MM]SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning
Hanhe Lin, Vlad Hosu, Chunling Fan, Yun Zhang, Yuchen Mu, Raouf Hamzaoui, Dietmar Saupe
http://arxiv.org/abs/2001.02002v1
• [cs.NE]Frequency Fitness Assignment: Making Optimization Algorithms Invariant under Bijective Transformations of the Objective Function
Thomas Weise, Zhize Wu, Xinlu Li, Yan Chen
http://arxiv.org/abs/2001.01416v2
• [cs.NE]Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks
Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov
http://arxiv.org/abs/2001.01854v1
• [cs.NI]Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method
Bekir Sait Ciftler, Abdullatif Albaseer, Noureddine Lasla, Mohamed Abdallah
http://arxiv.org/abs/2001.01911v1
• [cs.RO]Self learning robot using real-time neural networks
Chirag Gupta, Chikita Nangia, Chetan Kumar
http://arxiv.org/abs/2001.02103v1
• [cs.SI]Network-Based Analysis of Public Transportation Systems in North American Cities
Abbas Masoumzadeh, Tilemachos Pechlivanoglou
http://arxiv.org/abs/2001.01838v1
• [cs.SI]Quantifying Polarization on Twitter: the Kavanaugh Nomination
Kareem Darwish
http://arxiv.org/abs/2001.02125v1
• [cs.SI]Spatial Applications of Topological Data Analysis: Cities, Snowflakes, Random Structures, and Spiders Spinning Under the Influence
Michelle Feng, Mason A. Porter
http://arxiv.org/abs/2001.01872v1
• [cs.SI]Time-constrained Adaptive Influence Maximization
Guangmo Tong, Ruiqi Wang, Chen Ling, Zheng Dong, Xiang Li
http://arxiv.org/abs/2001.01742v1
• [eess.AS]Character-Aware Attention-Based End-to-End Speech Recognition
Zhong Meng, Yashesh Gaur, Jinyu Li, Yifan Gong
http://arxiv.org/abs/2001.01795v1
• [eess.AS]Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition
Zhong Meng, Jinyu Li, Yashesh Gaur, Yifan Gong
http://arxiv.org/abs/2001.01798v1
• [eess.IV]Deep Learning-Based Solvability of Underdetermined Inverse Problems in Medical Imaging
Chang Min Hyun, Seong Hyeon Baek, Mingyu Lee, Sung Min Lee, Jin Keun Seo
http://arxiv.org/abs/2001.01432v2
• [eess.IV]Detection of Diabetic Anomalies in Retinal Images using Morphological Cascading Decision Tree
Faisal Ghaffar, Sarwar Khan, Bunyarit Uyyanonvara, Chanjira Sinthanayothin, Hirohiko Kaneko
http://arxiv.org/abs/2001.01953v1
• [eess.IV]Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection
Peng Liu, Ruogu Fang
http://arxiv.org/abs/2001.01815v1
• [eess.IV]Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs
Andriy Myronenko, Ali Hatamizadeh
http://arxiv.org/abs/2001.02040v1
• [eess.SP]Bridge Modal Identification using Acceleration Measurements within Moving Vehicles
Soheil Sadeghi Eshkevari, Thomas J. Matarazzo, Shamim N. Pakzad
http://arxiv.org/abs/2001.01797v1
• [eess.SP]Classification of Large-Scale High-Resolution SAR Images with Deep Transfer Learning
Zhongling Huang, Corneliu Octavian Dumitru, Zongxu Pan, Bin Lei, Mihai Datcu
http://arxiv.org/abs/2001.01425v1
• [eess.SP]Load Balanced Dynamic Resource Allocation for MTC Relay
Yifu Yang, Gang Wu, Weidang Lu, Yizhong Zhang
http://arxiv.org/abs/2001.01188v1
• [eess.SP]Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis
Qin Wang, Gabriel Michau, Olga Fink
http://arxiv.org/abs/2001.02015v1
• [eess.SP]Multitask learning over graphs
Roula Nassif, Stefan Vlaski, Cedric Richard, Jie Chen, Ali H. Sayed
http://arxiv.org/abs/2001.02112v1
• [eess.SP]On the Uniqueness of Binary Quantizers for Maximizing Mutual Information
Thuan Nguyen, Thinh Nguyen
http://arxiv.org/abs/2001.01836v1
• [eess.SP]Single-bit Quantization Capacity of Binary-input Continuous-output Channels
Thuan Nguyen, Thinh Nguyen
http://arxiv.org/abs/2001.01842v1
• [math.NA]A kernel Principal Component Analysis (kPCA) digest with a new backward mapping (pre-image reconstruction) strategy
Alberto García-González, Antonio Huerta, Sergio Zlotnik, Pedro Díez
http://arxiv.org/abs/2001.01958v1
• [math.OC]Backtracking Gradient Descent allowing unbounded learning rates
Tuyen Trung Truong
http://arxiv.org/abs/2001.02005v1
• [math.ST]Statistical Inference for High-Dimensional Matrix-Variate Factor Model
Elynn Y. Chen, Jianqing Fan, Ellen Li
http://arxiv.org/abs/2001.01890v1
• [physics.soc-ph]Whos Ditching the Bus?
Simon J. Berrebi, Kari E. Watkins
http://arxiv.org/abs/2001.02200v1
• [q-bio.BM]On-the-fly Prediction of Protein Hydration Densities and Free Energies using Deep Learning
Ahmadreza Ghanbarpour, Amr H. Mahmoud, Markus A. Lill
http://arxiv.org/abs/2001.02201v1
• [quant-ph]Permutation Enhances Classical Communication Assisted by Entangled States
Kun Wang, Masahito Hayashi
http://arxiv.org/abs/2001.01845v1
• [stat.AP]A semi-supervised learning framework for quantitative structure-activity regression modelling
Oliver P Watson, Isidro Cortes-Ciriano, James A Watson
http://arxiv.org/abs/2001.01924v1
• [stat.AP]Future Proofing a Building Design Using History Matching Inspired Level Set Techniques
Evan Baker, Peter Challenor, Matt Eames
http://arxiv.org/abs/2001.01992v1
• [stat.AP]Position Dilution of Precision and Bayesian Model of the Observation Error
Alexandra Koulouri, Ville Rimpiläinen, Nathan D. Smith
http://arxiv.org/abs/2001.02198v1
• [stat.AP]School value-added models for multivariate academic and non-academic outcomes: A more rounded approach to using student data to inform school accountability
Lucy Prior, Harvey Goldstein, George Leckie
http://arxiv.org/abs/2001.01996v1
• [stat.AP]Selection Induced Contrast Estimate (SICE) Effect: An Attempt to Quantify the Impact of Some Patient Selection Criteria in Randomized Clinical Trials
Junshui Ma, Daniel J. Holder
http://arxiv.org/abs/2001.02036v1
• [stat.CO]Discrete event simulation of point processes: A computational complexity analysis on sparse graphs
Cyrille Mascart, Alexandre Muzy, Patricia Reynaud-bouret
http://arxiv.org/abs/2001.01702v2
• [stat.ML]An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection
Rendani Mbuvha, Illyes Boulkaibet, Tshilidzi Marwala
http://arxiv.org/abs/2001.01765v1
• [stat.ML]CatBoostLSS — An extension of CatBoost to probabilistic forecasting
Alexander März
http://arxiv.org/abs/2001.02121v1
• [stat.ML]Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
Pengzhou Wu, Kenji Fukumizu
http://arxiv.org/abs/2001.01894v1
• [stat.ML]Clustering Binary Data by Application of Combinatorial Optimization Heuristics
Javier Trejos-Zelaya, Luis Eduardo Amaya-Briceño, Alejandra Jiménez-Romero, Alex Murillo-Fernández, Eduardo Piza-Volio, Mario Villalobos-Arias
http://arxiv.org/abs/2001.01809v1
• [stat.ML]MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
Andrew J. Blumberg, Mathieu Carriere, Michael A. Mandell, Raul Rabadan, Soledad Villar
http://arxiv.org/abs/2001.01666v2