cond-mat.mes-hall - 尺度和物理纳米 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.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.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 quant-ph - 量子物理 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cond-mat.mes-hall]Machine learning enables completely automatic tuning of a quantum device faster than human experts
• [cs.AI]A Rule-Based Model for Victim Prediction
• [cs.AI]D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning
• [cs.AI]From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules
• [cs.AI]High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
• [cs.AI]Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
• [cs.CL]A Neural Approach to Discourse Relation Signal Detection
• [cs.CL]Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
• [cs.CL]LTP: A New Active Learning Strategy for Bert-CRF Based Named Entity Recognition
• [cs.CL]Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
• [cs.CL]Multipurpose Intelligent Process Automation via Conversational Assistant
• [cs.CL]REST: A thread embedding approach for identifying and classifying user-specified information in security forums
• [cs.CR]$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
• [cs.CR]Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
• [cs.CR]Techniques d’anonymisation tabulaire : concepts et mise en oeuvre
• [cs.CV]An Analysis of Object Representations in Deep Visual Trackers
• [cs.CV]Bridging Knowledge Graphs to Generate Scene Graphs
• [cs.CV]CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
• [cs.CV]Deep Learning for Free-Hand Sketch: A Survey
• [cs.CV]Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction
• [cs.CV]Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints
• [cs.CV]Don’t Forget The Past: Recurrent Depth Estimation from Monocular Video
• [cs.CV]Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
• [cs.CV]Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics
• [cs.CV]Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview
• [cs.CV]Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks
• [cs.CV]Training Progressively Binarizing Deep Networks Using FPGAs
• [cs.CV]VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
• [cs.CV]Weakly Supervised Visual Semantic Parsing
• [cs.DB]The LDBC Social Network Benchmark
• [cs.DC]A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
• [cs.DC]AN5D: Automated Stencil Framework for High-Degree Temporal Blocking on GPUs
• [cs.DC]From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study
• [cs.DC]HyGCN: A GCN Accelerator with Hybrid Architecture
• [cs.DC]HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
• [cs.DC]Synchronous Byzantine Lattice Agreement in ${\cal O}(\log (f))$ Rounds
• [cs.FL]VC-dimensions of nondeterministic finite automata for words of equal length
• [cs.HC]Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence
• [cs.HC]Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach
• [cs.HC]LiftTiles: Constructive Building Blocks for Prototyping Room-scale Shape-changing Interfaces
• [cs.HC]Questioning the AI: Informing Design Practices for Explainable AI User Experiences
• [cs.HC]Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
• [cs.IR]A Correspondence Analysis Framework for Author-Conference Recommendations
• [cs.IR]Citation Recommendations Considering Content and Structural Context Embedding
• [cs.IT]Adaptive Coding for Two-Way Lossy Source-Channel Communication
• [cs.IT]Address-Event Variable-Length Compression for Time-Encoded Data
• [cs.IT]Comments on “Physical-layer cryptography through massive MIMO”
• [cs.IT]Joint Optimization of File Placement and Delivery in Cache-Assisted Wireless Networks with Limited Lifetime and Cache Space
• [cs.IT]Managing Device Lifecycle: Reconfigurable Constrained Codes for M/T/Q/P-LC Flash Memories
• [cs.IT]Minimizing the Age of Information of Cognitive Radio-Based IoT Systems Under A Collision Constraint
• [cs.IT]OTFS: Interleaved OFDM with Block CP
• [cs.IT]Quadratically Constrained Two-way Adversarial Channels
• [cs.IT]Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
• [cs.IT]The importance of phase in complex compressive sensing
• [cs.IT]Unsupervised Learning for Passive Beamforming
• [cs.LG]A Group Norm Regularized LRR Factorization Model for Spectral Clustering
• [cs.LG]A Nonparametric Offpolicy Policy Gradient
• [cs.LG]An improved online learning algorithm for general fuzzy min-max neural network
• [cs.LG]Convolutional Networks with Dense Connectivity
• [cs.LG]EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
• [cs.LG]Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation
• [cs.LG]Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
• [cs.LG]MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
• [cs.LG]On Interpretability of Artificial Neural Networks
• [cs.LG]On Thompson Sampling for Smoother-than-Lipschitz Bandits
• [cs.LG]PaRoT: A Practical Framework for Robust Deep Neural Network Training
• [cs.LG]SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning
• [cs.LG]SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
• [cs.LG]Sample-based Distributional Policy Gradient
• [cs.LG]Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
• [cs.LG]The Past and Present of Imitation Learning: A Citation Chain Study
• [cs.LG]To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
• [cs.LG]Visual-Semantic Graph Attention Network for Human-Object Interaction Detection
• [cs.LG]iDLG: Improved Deep Leakage from Gradients
• [cs.RO]Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC
• [cs.RO]Learning to Move with Affordance Maps
• [cs.RO]Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment
• [cs.RO]RoboFly: An insect-sized robot with simplified fabrication that is capable of flight, ground, and water surface locomotion
• [cs.RO]What can robotics research learn from computer vision research?
• [cs.SD]Automatic Melody Harmonization with Triad Chords: A Comparative Study
• [cs.SD]Streaming automatic speech recognition with the transformer model
• [cs.SE]Learning to Encode and Classify Test Executions
• [cs.SI]A Soft Recommender System for Social Networks
• [cs.SI]Efficient network navigation with partial information
• [cs.SI]Peer-to-Peer based Social Networks: A Comprehensive Survey
• [eess.IV]A context based deep learning approach for unbalanced medical image segmentation
• [eess.IV]Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
• [eess.IV]DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
• [eess.IV]Deep OCT Angiography Image Generation for Motion Artifact Suppression
• [eess.IV]Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation
• [eess.IV]Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
• [eess.SP]Hypergraph Spectral Analysis and Processing in 3D Point Cloud
• [eess.SP]Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles
• [eess.SP]On Recoverability of Randomly Compressed Tensors with Low CP Rank
• [eess.SP]Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
• [eess.SY]Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
• [math.OC]Backtracking Gradient Descent allowing unbounded learning rates
• [math.OC]Infinite-Horizon Differentiable Model Predictive Control
• [math.OC]Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
• [math.ST]Asymptotically optimal test for dependent multiple testing set up
• [math.ST]Spectral estimation for non-linear long range dependent discrete time trawl processes
• [math.ST]Stochastic Local Interaction Model: Geostatistics without Kriging
• [quant-ph]Coherent Quantum Channel Discrimination
• [quant-ph]Quantum subspace alignment for domain adaptation
• [quant-ph]Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
• [stat.ME]Conditional density estimation with covariate measurement error
• [stat.ME]Differentially Private Confidence Intervals
• [stat.ME]Estimating Tukey Depth Using Incremental Quantile Estimators
• [stat.ME]Functional linear models for interval-valued data
• [stat.ME]On a Generalization of the Average Distance Classifier
• [stat.ME]Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing
• [stat.ME]Tests for detecting risk equivalent portfolios
• [stat.ME]Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid
• [stat.ML]Contextual Constrained Learning for Dose-Finding Clinical Trials
• [stat.ML]Stochastic probabilistic programs
·····································
• [cond-mat.mes-hall]Machine learning enables completely automatic tuning of a quantum device faster than human experts
H. Moon, D. T. Lennon, J. Kirkpatrick, N. M. van Esbroeck, L. C. Camenzind, Liuqi Yu, F. Vigneau, D. M. Zumbühl, G. A. D. Briggs, M. A Osborne, D. Sejdinovic, E. A. Laird, N. Ares
http://arxiv.org/abs/2001.02589v1
• [cs.AI]A Rule-Based Model for Victim Prediction
Murat Ozer, Nelly Elsayed, Said Varlioglu, Chengcheng Li
http://arxiv.org/abs/2001.01391v2
• [cs.AI]D3BA: A Tool for Optimizing Business Processes Using Non-Deterministic Planning
Tathagata Chakraborti, Yasaman Khazaeni
http://arxiv.org/abs/2001.02619v1
• [cs.AI]From Natural Language Instructions to Complex Processes: Issues in Chaining Trigger Action Rules
Nobuhiro Ito, Yuya Suzuki, Akiko Aizawa
http://arxiv.org/abs/2001.02462v1
• [cs.AI]High-Level Plan for Behavioral Robot Navigation with Natural Language Directions and R-NET
Amar Shrestha, Krittaphat Pugdeethosapol, Haowen Fang, Qinru Qiu
http://arxiv.org/abs/2001.02330v1
• [cs.AI]Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof
Patrick Rodler
http://arxiv.org/abs/2001.01835v2
• [cs.CL]A Neural Approach to Discourse Relation Signal Detection
Amir Zeldes, Yang Liu
http://arxiv.org/abs/2001.02380v1
• [cs.CL]Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs
Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
http://arxiv.org/abs/2001.02332v1
• [cs.CL]LTP: A New Active Learning Strategy for Bert-CRF Based Named Entity Recognition
Mingyi Liu, Zhiying Tu, Zhongjie Wang, Xiaofei Xu
http://arxiv.org/abs/2001.02524v1
• [cs.CL]Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction
Zhen Wu, Fei Zhao, Xin-Yu Dai, Shujian Huang, Jiajun Chen
http://arxiv.org/abs/2001.01989v1
• [cs.CL]Multipurpose Intelligent Process Automation via Conversational Assistant
Alena Moiseeva, Dietrich Trautmann, Hinrich Schütze
http://arxiv.org/abs/2001.02284v1
• [cs.CL]REST: A thread embedding approach for identifying and classifying user-specified information in security forums
Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos
http://arxiv.org/abs/2001.02660v1
• [cs.CR]$μ$VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Deqing Zou, Sujuan Wang, Shouhuai Xu, Zhen Li, Hai Jin
http://arxiv.org/abs/2001.02334v1
• [cs.CR]Local Information Privacy and Its Application to Privacy-Preserving Data Aggregation
Bo Jiang, Ming Li, Ravi Tandon
http://arxiv.org/abs/2001.02385v1
• [cs.CR]Techniques d’anonymisation tabulaire : concepts et mise en oeuvre
Benjamin Nguyen, Claude Castelluccia
http://arxiv.org/abs/2001.02650v1
• [cs.CV]An Analysis of Object Representations in Deep Visual Trackers
Ross Goroshin, Jonathan Tompson, Debidatta Dwibedi
http://arxiv.org/abs/2001.02593v1
• [cs.CV]Bridging Knowledge Graphs to Generate Scene Graphs
Alireza Zareian, Svebor Karaman, Shih-Fu Chang
http://arxiv.org/abs/2001.02314v1
• [cs.CV]CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus
Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn
http://arxiv.org/abs/2001.02643v1
• [cs.CV]Deep Learning for Free-Hand Sketch: A Survey
Peng Xu
http://arxiv.org/abs/2001.02600v1
• [cs.CV]Disentangling Representations using Gaussian Processes in Variational Autoencoders for Video Prediction
Sarthak Bhagat, Shagun Uppal, Vivian Yin, Nengli Lim
http://arxiv.org/abs/2001.02408v1
• [cs.CV]Do As I Do: Transferring Human Motion and Appearance between Monocular Videos with Spatial and Temporal Constraints
Thiago L. Gomes, Renato Martins, João Ferreira, Erickson R. Nascimento
http://arxiv.org/abs/2001.02606v1
• [cs.CV]Don’t Forget The Past: Recurrent Depth Estimation from Monocular Video
Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool
http://arxiv.org/abs/2001.02613v1
• [cs.CV]Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
Jiemin Fang, Yuzhu Sun, Kangjian Peng, Qian Zhang, Yuan Li, Wenyu Liu, Xinggang Wang
http://arxiv.org/abs/2001.02525v1
• [cs.CV]Multimodal Semantic Transfer from Text to Image. Fine-Grained Image Classification by Distributional Semantics
Simon Donig, Maria Christoforaki, Bernhard Bermeitinger, Siegfried Handschuh
http://arxiv.org/abs/2001.02372v1
• [cs.CV]Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview
Yang Tang, Chaoqiang Zhao, Jianrui Wang, Chongzhen Zhang, Qiyu Sun, Feng Qian
http://arxiv.org/abs/2001.02319v1
• [cs.CV]Table Structure Extraction with Bi-directional Gated Recurrent Unit Networks
Saqib Ali Khan, Syed Muhammad Daniyal Khalid, Muhammad Ali Shahzad, Faisal Shafait
http://arxiv.org/abs/2001.02501v1
• [cs.CV]Training Progressively Binarizing Deep Networks Using FPGAs
Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi
http://arxiv.org/abs/2001.02390v1
• [cs.CV]VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving
Yanliang Zhu, Deheng Qian, Dongchun Ren, Huaxia Xia
http://arxiv.org/abs/2001.02354v1
• [cs.CV]Weakly Supervised Visual Semantic Parsing
Alireza Zareian, Svebor Karaman, Shih-Fu Chang
http://arxiv.org/abs/2001.02359v1
• [cs.DB]The LDBC Social Network Benchmark
Renzo Angles, János Benjamin Antal, Alex Averbuch, Peter Boncz, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba Pey, Norbert Martínez, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, Mirko Spasić, Benjamin A. Steer, Gábor Szárnyas, Jack Waudby
http://arxiv.org/abs/2001.02299v1
• [cs.DC]A Multi-Objective Approach for Multi-Cloud Infrastructure Brokering in Dynamic Markets
Fabio Lopez-Pires, Lino Chamorro, Benjamin Baran
http://arxiv.org/abs/2001.02561v1
• [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/2001.01473v3
• [cs.DC]From Trend Analysis to New Virtual World System Design Requirements and Requirement Satisfaction Study
Bingqing Shen, Weiming Tan, Jingzhi Guo, Bin Wang
http://arxiv.org/abs/2001.02433v1
• [cs.DC]HyGCN: A GCN Accelerator with Hybrid Architecture
Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
http://arxiv.org/abs/2001.02514v1
• [cs.DC]HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline
Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov
http://arxiv.org/abs/2001.02338v1
• [cs.DC]Synchronous Byzantine Lattice Agreement in ${\cal O}(\log (f))$ Rounds
Giuseppe Antonio Di Luna, Emmanuelle Anceaume, Silvia Bonomi, Leonardo Querzoni
http://arxiv.org/abs/2001.02670v1
• [cs.FL]VC-dimensions of nondeterministic finite automata for words of equal length
Bjørn Kjos-Hanssen, Clyde James Felix, Sun Young Kim, Ethan Lamb, Davin Takahashi
http://arxiv.org/abs/2001.02309v1
• [cs.HC]Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence
Midas Nouwens, Ilaria Liccardi, Michael Veale, David Karger, Lalana Kagal
http://arxiv.org/abs/2001.02479v1
• [cs.HC]Emo-CNN for Perceiving Stress from Audio Signals: A Brain Chemistry Approach
Anup Anand Deshmukh, Catherine Soladie, Renaud Seguier
http://arxiv.org/abs/2001.02329v1
• [cs.HC]LiftTiles: Constructive Building Blocks for Prototyping Room-scale Shape-changing Interfaces
Ryo Suzuki, Ryosuke Nakayama, Dan Liu, Yasuaki Kakehi, Mark D. Gross, Daniel Leithinger
http://arxiv.org/abs/2001.02382v1
• [cs.HC]Questioning the AI: Informing Design Practices for Explainable AI User Experiences
Q. Vera Liao, Daniel Gruen, Sarah Miller
http://arxiv.org/abs/2001.02478v1
• [cs.HC]Revealing Neural Network Bias to Non-Experts Through Interactive Counterfactual Examples
Chelsea M. Myers, Evan Freed, Luis Fernando Laris Pardo, Anushay Furqan, Sebastian Risi, Jichen Zhu
http://arxiv.org/abs/2001.02271v1
• [cs.IR]A Correspondence Analysis Framework for Author-Conference Recommendations
Rahul Radhakrishnan Iyer, Manish Sharma, Vijaya Saradhi
http://arxiv.org/abs/2001.02669v1
• [cs.IR]Citation Recommendations Considering Content and Structural Context Embedding
Yang Zhang, Qiang Ma
http://arxiv.org/abs/2001.02344v1
• [cs.IT]Adaptive Coding for Two-Way Lossy Source-Channel Communication
Jian-Jian Weng, Fady Alajaji, Tamás Linder
http://arxiv.org/abs/2001.02612v1
• [cs.IT]Address-Event Variable-Length Compression for Time-Encoded Data
Sharu Theresa Jose, Osvaldo Simeone
http://arxiv.org/abs/2001.02527v1
• [cs.IT]Comments on “Physical-layer cryptography through massive MIMO”
Amin Sakzad, Ron Steinfeld
http://arxiv.org/abs/2001.02632v1
• [cs.IT]Joint Optimization of File Placement and Delivery in Cache-Assisted Wireless Networks with Limited Lifetime and Cache Space
Bojie Lv, Rui Wang, Ying Cui, Yi Gong, Haisheng Tan
http://arxiv.org/abs/2001.02557v1
• [cs.IT]Managing Device Lifecycle: Reconfigurable Constrained Codes for M/T/Q/P-LC Flash Memories
Ahmed Hareedy, Beyza Dabak, Robert Calderbank
http://arxiv.org/abs/2001.02325v1
• [cs.IT]Minimizing the Age of Information of Cognitive Radio-Based IoT Systems Under A Collision Constraint
Qian Wang, He Chen, Yifan Gu, Yonghui Li, Branka Vucetic
http://arxiv.org/abs/2001.02482v1
• [cs.IT]OTFS: Interleaved OFDM with Block CP
Vivek Rangamgari, Shashank Tiwari, Suvra Sekhar Das, Subhas Chandra Mondal
http://arxiv.org/abs/2001.02446v1
• [cs.IT]Quadratically Constrained Two-way Adversarial Channels
Yihan Zhang, Shashank Vatedka, Sidharth Jaggi
http://arxiv.org/abs/2001.02575v1
• [cs.IT]Spatial Throughput Characterization for Intelligent Reflecting Surface Aided Multiuser System
Jiangbin Lyu, Rui Zhang
http://arxiv.org/abs/2001.02447v1
• [cs.IT]The importance of phase in complex compressive sensing
Laurent Jacques, Thomas Feuillen
http://arxiv.org/abs/2001.02529v1
• [cs.IT]Unsupervised Learning for Passive Beamforming
Jiabao Gao, Caijun Zhong, Xiaoming Chen, Hai Lin, Zhaoyang Zhang
http://arxiv.org/abs/2001.02348v1
• [cs.LG]A Group Norm Regularized LRR Factorization Model for Spectral Clustering
Xishun Wang, Zhouwang Yang, Xingye Yue, Hui Wang
http://arxiv.org/abs/2001.02568v1
• [cs.LG]A Nonparametric Offpolicy Policy Gradient
Samuele Tosatto, Joao Carvalho, Hany Abdulsamad, Jan Peters
http://arxiv.org/abs/2001.02435v1
• [cs.LG]An improved online learning algorithm for general fuzzy min-max neural network
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys
http://arxiv.org/abs/2001.02391v1
• [cs.LG]Convolutional Networks with Dense Connectivity
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
http://arxiv.org/abs/2001.02394v1
• [cs.LG]EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning
Yurui Ming, Dongrui Wu, Yu-Kai Wang, Yuhui Shi, Chin-Teng Lin
http://arxiv.org/abs/2001.02399v1
• [cs.LG]Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation
Marco Mamprin, Jo M. Zelis, Pim A. L. Tonino, Svitlana Zinger, Peter H. N. de With
http://arxiv.org/abs/2001.02431v1
• [cs.LG]Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar
http://arxiv.org/abs/2001.02585v1
• [cs.LG]MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang
http://arxiv.org/abs/2001.02378v1
• [cs.LG]On Interpretability of Artificial Neural Networks
Fenglei Fan, Jinjun Xiong, Ge Wang
http://arxiv.org/abs/2001.02522v1
• [cs.LG]On Thompson Sampling for Smoother-than-Lipschitz Bandits
James A. Grant, David S. Leslie
http://arxiv.org/abs/2001.02323v1
• [cs.LG]PaRoT: A Practical Framework for Robust Deep Neural Network Training
Edward Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside
http://arxiv.org/abs/2001.02152v2
• [cs.LG]SGD with Hardness Weighted Sampling for Distributionally Robust Deep Learning
Lucas Fidon, Sebastien Ourselin, Tom Vercauteren
http://arxiv.org/abs/2001.02658v1
• [cs.LG]SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn
http://arxiv.org/abs/2001.02407v1
• [cs.LG]Sample-based Distributional Policy Gradient
Rahul Singh, Keuntaek Lee, Yongxin Chen
http://arxiv.org/abs/2001.02652v1
• [cs.LG]Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well
Vipul Gupta, Santiago Akle Serrano, Dennis DeCoste
http://arxiv.org/abs/2001.02312v1
• [cs.LG]The Past and Present of Imitation Learning: A Citation Chain Study
Nishanth Kumar
http://arxiv.org/abs/2001.02328v1
• [cs.LG]To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
Bijeeta Pal, Shruti Tople
http://arxiv.org/abs/2001.02438v1
• [cs.LG]Visual-Semantic Graph Attention Network for Human-Object Interaction Detection
Zhijun Liang, Yisheng Guan, Juan Rojas
http://arxiv.org/abs/2001.02302v1
• [cs.LG]iDLG: Improved Deep Leakage from Gradients
Bo Zhao, Konda Reddy Mopuri, Hakan Bilen
http://arxiv.org/abs/2001.02610v1
• [cs.RO]Aggressive Perception-Aware Navigation using Deep Optical Flow Dynamics and PixelMPC
Keuntaek Lee, Jason Gibson, Evangelos A. Theodorou
http://arxiv.org/abs/2001.02307v1
• [cs.RO]Learning to Move with Affordance Maps
William Qi, Ravi Teja Mullapudi, Saurabh Gupta, Deva Ramanan
http://arxiv.org/abs/2001.02364v1
• [cs.RO]Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment
Mohit Vohra, Ravi Prakash, Laxmidhar Behera
http://arxiv.org/abs/2001.02076v1
• [cs.RO]RoboFly: An insect-sized robot with simplified fabrication that is capable of flight, ground, and water surface locomotion
Yogesh M Chukewad, Johannes James, Avinash Singh, Sawyer Fuller
http://arxiv.org/abs/2001.02320v1
• [cs.RO]What can robotics research learn from computer vision research?
Peter Corke, Feras Dayoub, David Hall, John Skinner, Niko Sünderhauf
http://arxiv.org/abs/2001.02366v1
• [cs.SD]Automatic Melody Harmonization with Triad Chords: A Comparative Study
Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama, Tetsuro Kitahara, Benjamin Genchel, Hao-Min Liu, Hao-Wen Dong, Yian Chen, Terence Leong, Yi-Hsuan Yang
http://arxiv.org/abs/2001.02360v1
• [cs.SD]Streaming automatic speech recognition with the transformer model
Niko Moritz, Takaaki Hori, Jonathan Le Roux
http://arxiv.org/abs/2001.02674v1
• [cs.SE]Learning to Encode and Classify Test Executions
Foivos Tsimpourlas, Ajitha Rajan, Miltiadis Allamanis
http://arxiv.org/abs/2001.02444v1
• [cs.SI]A Soft Recommender System for Social Networks
Marzieh Pourhojjati-Sabet, Azam Rabiee
http://arxiv.org/abs/2001.02520v1
• [cs.SI]Efficient network navigation with partial information
Xiaoran Yan, Olaf Sporns, Andrea Avena-Koenigsberger
http://arxiv.org/abs/2001.02274v1
• [cs.SI]Peer-to-Peer based Social Networks: A Comprehensive Survey
Newton Masinde, Kalman Graffi
http://arxiv.org/abs/2001.02611v1
• [eess.IV]A context based deep learning approach for unbalanced medical image segmentation
Balamurali Murugesan, Kaushik Sarveswaran, Vijaya Raghavan S, Sharath M Shankaranarayana, Keerthi Ram, Mohanasankar Sivaprakasam
http://arxiv.org/abs/2001.02387v1
• [eess.IV]Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht
http://arxiv.org/abs/2001.02518v1
• [eess.IV]DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction
Sriprabha Ramanarayanan, Balamurali Murugesan, Keerthi Ram, Mohanasankar Sivaprakasam
http://arxiv.org/abs/2001.02397v1
• [eess.IV]Deep OCT Angiography Image Generation for Motion Artifact Suppression
Julian Hossbach, Lennart Husvogt, Martin F. Kraus, James G. Fujimoto, Andreas K. Maier
http://arxiv.org/abs/2001.02512v1
• [eess.IV]Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation
Dong Gong, Wei Sun, Qinfeng Shi, Anton van den Hengel, Yanning Zhang
http://arxiv.org/abs/2001.02381v1
• [eess.IV]Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
Yixing Huang, Shengxiang Wang, Yong Guan, Andreas Maier
http://arxiv.org/abs/2001.02469v1
• [eess.SP]Hypergraph Spectral Analysis and Processing in 3D Point Cloud
Songyang Zhang, Shuguang Cui, Zhi Ding
http://arxiv.org/abs/2001.02384v1
• [eess.SP]Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles
Dohyun Kwon, Joongheon Kim
http://arxiv.org/abs/2001.02337v1
• [eess.SP]On Recoverability of Randomly Compressed Tensors with Low CP Rank
Shahana Ibrahim, Xiao Fu, Xingguo Li
http://arxiv.org/abs/2001.02370v1
• [eess.SP]Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
http://arxiv.org/abs/2001.02400v1
• [eess.SY]Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
Kirill Polzounov, Ramitha Sundar, Lee Redden
http://arxiv.org/abs/2001.02254v1
• [math.OC]Backtracking Gradient Descent allowing unbounded learning rates
Tuyen Trung Truong
http://arxiv.org/abs/2001.02005v2
• [math.OC]Infinite-Horizon Differentiable Model Predictive Control
Sebastian East, Marco Gallieri, Jonathan Masci, Jan Koutnik, Mark Cannon
http://arxiv.org/abs/2001.02244v1
• [math.OC]Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
Wenqing Li, Chuhan Yang, Saif Eddin Jabari
http://arxiv.org/abs/2001.02492v1
• [math.ST]Asymptotically optimal test for dependent multiple testing set up
Rahul Roy, Subir Kumar Bhandari
http://arxiv.org/abs/2001.02229v1
• [math.ST]Spectral estimation for non-linear long range dependent discrete time trawl processes
Paul Doukhan, François Roueff, Joseph Rynkiewicz
http://arxiv.org/abs/2001.02579v1
• [math.ST]Stochastic Local Interaction Model: Geostatistics without Kriging
Dionissios T. Hristopulos, Andreas Pavlides, Vasiliki D. Agou, Panagiota Gkafa
http://arxiv.org/abs/2001.02246v1
• [quant-ph]Coherent Quantum Channel Discrimination
Mark M. Wilde
http://arxiv.org/abs/2001.02668v1
• [quant-ph]Quantum subspace alignment for domain adaptation
Xi He, Xiaoting Wang
http://arxiv.org/abs/2001.02472v1
• [quant-ph]Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators
Samuel P. Loomis, James P. Crutchfield
http://arxiv.org/abs/2001.02258v1
• [stat.ME]Conditional density estimation with covariate measurement error
Xianzheng Huang, Haiming Zhou
http://arxiv.org/abs/2001.02673v1
• [stat.ME]Differentially Private Confidence Intervals
Wenxin Du, Canyon Foot, Monica Moniot, Andrew Bray, Adam Groce
http://arxiv.org/abs/2001.02285v1
• [stat.ME]Estimating Tukey Depth Using Incremental Quantile Estimators
Hugo Lewi Hammer, Anis Yazidi, Håvard Rue
http://arxiv.org/abs/2001.02393v1
• [stat.ME]Functional linear models for interval-valued data
Ufuk Beyaztas, Han Lin Shang, Abdel-Salam G. Abdel-Salam
http://arxiv.org/abs/2001.02342v1
• [stat.ME]On a Generalization of the Average Distance Classifier
Sarbojit Roy, Soham Sarkar, Subhajit Dutta
http://arxiv.org/abs/2001.02430v1
• [stat.ME]Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing
Zheng Zhao, Toni Karvonen, Roland Hostettler, Simo Särkkä
http://arxiv.org/abs/2001.02466v1
• [stat.ME]Tests for detecting risk equivalent portfolios
Marc Ditzhaus, Daniel Gaigall
http://arxiv.org/abs/2001.02488v1
• [stat.ME]Vector Autoregressive Models with Spatially Structured Coefficients for Time Series on a Spatial Grid
Yuan Yan, Hsin-Cheng Huang, Marc G. Genton
http://arxiv.org/abs/2001.02250v1
• [stat.ML]Contextual Constrained Learning for Dose-Finding Clinical Trials
Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
http://arxiv.org/abs/2001.02463v1
• [stat.ML]Stochastic probabilistic programs
David Tolpin, Tomer Dobkin
http://arxiv.org/abs/2001.02656v1