cond-mat.dis-nn - 无序系统与神经网络 cond-mat.mtrl-sci - 材料科学 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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 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 nucl-th - 核理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 quant-ph - 量子物理 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]Simplicial complexes: higher-order spectral dimension and dynamics
• [cond-mat.mtrl-sci]Robust Topological Descriptors for Machine Learning Prediction of Guest Adsorption in Nanoporous Materials
• [cs.AI]Adversarially Guided Self-Play for Adopting Social Conventions
• [cs.AI]Broadening Label-based Argumentation Semantics with May-Must Scales
• [cs.AI]Modeling and solving the multimodal car- and ride-sharing problem
• [cs.AI]On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization
• [cs.CL]A Pilot Study on Multiple Choice Machine Reading Comprehension for Vietnamese Texts
• [cs.CL]AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion
• [cs.CL]AggressionNet: Generalised Multi-Modal Deep Temporal and Sequential Learning for Aggression Identification
• [cs.CL]Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
• [cs.CL]Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence
• [cs.CL]Schema2QA: Answering Complex Queries on the Structured Web with a Neural Model
• [cs.CL]Speech Emotion Recognition Based on Multi-feature and Multi-lingual Fusion
• [cs.CL]Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations
• [cs.CR]Incentive Analysis of Bitcoin-NG, Revisited
• [cs.CR]SCAUL: Power Side-Channel Analysis with Unsupervised Learning
• [cs.CV]A “Network Pruning Network” Approach to Deep Model Compression
• [cs.CV]A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning
• [cs.CV]A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data
• [cs.CV]A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation
• [cs.CV]Assessing Robustness of Deep learning Methods in Dermatological Workflow
• [cs.CV]CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation
• [cs.CV]Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video
• [cs.CV]Continual Learning for Domain Adaptation in Chest X-ray Classification
• [cs.CV]Delving Deeper into the Decoder for Video Captioning
• [cs.CV]Ensemble based discriminative models for Visual Dialog Challenge 2018
• [cs.CV]Evaluating image matching methods for book cover identification
• [cs.CV]Filter Grafting for Deep Neural Networks
• [cs.CV]Identifying Table Structure in Documents using Conditional Generative Adversarial Networks
• [cs.CV]Image Segmentation Using Deep Learning: A Survey
• [cs.CV]LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices
• [cs.CV]Learning Spatiotemporal Features via Video and Text Pair Discrimination
• [cs.CV]PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
• [cs.CV]Probabilistic 3D Multi-Object Tracking for Autonomous Driving
• [cs.CV]Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
• [cs.CV]Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data
• [cs.CV]ScaIL: Classifier Weights Scaling for Class Incremental Learning
• [cs.CV]Self-supervised visual feature learning with curriculum
• [cs.CV]Show, Recall, and Tell: Image Captioning with Recall Mechanism
• [cs.CV]SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence
• [cs.CV]Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild
• [cs.CV]The problems with using STNs to align CNN feature maps
• [cs.CV]VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection
• [cs.CY]Candidate Software Process Flaws for the Boeing 737 Max MCAS Algorithm and Risks for a Proposed Upgrade
• [cs.CY]FaceLift: A transparent deep learning framework to beautify urban scenes
• [cs.DC]GPU Tensor Cores for fast Arithmetic Reductions
• [cs.DC]Run-time Deep Model Multiplexing
• [cs.DS]Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data
• [cs.HC]”Why is ‘Chicago’ deceptive?” Towards Building Model-Driven Tutorials for Humans
• [cs.HC]A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education
• [cs.IR]Assigning credit to scientific datasets using article citation networks
• [cs.IR]Document Network Projection in Pretrained Word Embedding Space
• [cs.IT]A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences
• [cs.IT]Cache-Aided Modulation for Heterogeneous Coded Caching over a Gaussian Broadcast Channel
• [cs.IT]GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO
• [cs.IT]Joint Constellation Design for the Two-User Non-Coherent Multiple-Access Channel
• [cs.IT]Latent-variable Private Information Retrieval
• [cs.IT]Notes on Communication and Computation in Secure Distributed Matrix Multiplication
• [cs.IT]On the decoding of Barnes-Wall lattices
• [cs.IT]One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
• [cs.IT]Optimality of Treating Inter-Cell Interference as Noise Under Finite Precision CSIT
• [cs.IT]Proof of Convergence for Correct-Decoding Exponent Computation
• [cs.IT]Quantum Private Information Retrieval from MDS-coded and Colluding Servers
• [cs.IT]Queue-Aware Beam Scheduling for Half-Duplex mmWave Relay Networks
• [cs.IT]The Error Probability of Maximum-Likelihood Decoding over Two Deletion Channels
• [cs.IT]Weight Enumerators for Number-Theoretic Codes and Cardinalities of Non-binary VT Codes
• [cs.LG]A Little Fog for a Large Turn
• [cs.LG]Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
• [cs.LG]Cluster-based Zero-shot learning for multivariate data
• [cs.LG]Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions
• [cs.LG]Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
• [cs.LG]Cross-conformal e-prediction
• [cs.LG]Elastic Consistency: A General Consistency Model for Distributed Stochastic Gradient Descent
• [cs.LG]Estimating Aggregate Properties In Relational Networks With Unobserved Data
• [cs.LG]Extreme Regression for Dynamic Search Advertising
• [cs.LG]Graph Attentional Autoencoder for Anticancer Hyperfood Prediction
• [cs.LG]Human-like Time Series Summaries via Trend Utility Estimation
• [cs.LG]Improving GANs for Speech Enhancement
• [cs.LG]Inferring Individual Level Causal Models from Graph-based Relational Time Series
• [cs.LG]Insertion-Deletion Transformer
• [cs.LG]MIME: Mutual Information Minimisation Exploration
• [cs.LG]Masking schemes for universal marginalisers
• [cs.LG]MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
• [cs.LG]MixPath: A Unified Approach for One-shot Neural Architecture Search
• [cs.LG]Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
• [cs.LG]Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
• [cs.LG]Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods
• [cs.LG]Noise-tolerant, Reliable Active Classification with Comparison Queries
• [cs.LG]On Model Evaluation under Non-constant Class Imbalance
• [cs.LG]Outlier Detection Ensemble with Embedded Feature Selection
• [cs.LG]Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
• [cs.LG]Scalable Hyperparameter Optimization with Lazy Gaussian Processes
• [cs.LG]Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
• [cs.LG]Smart Data based Ensemble for Imbalanced Big Data Classification
• [cs.LG]Stream-Flow Forecasting of Small Rivers Based on LSTM
• [cs.LO]Reward Shaping for Reinforcement Learning with Omega-Regular Objectives
• [cs.NE]Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization
• [cs.PF]Duet Benchmarking: Improving Measurement Accuracy in the Cloud
• [cs.RO]3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
• [cs.RO]Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing
• [cs.RO]Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation
• [cs.RO]The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things
• [cs.SD]Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders
• [cs.SI]#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media
• [cs.SI]Hidden Community Detection on Two-layer Stochastic Models: a Theoretical Prospective
• [cs.SI]Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT)
• [cs.SI]The Chameleon Attack: Manipulating Content Display in Online Social Media
• [cs.SI]Uncovering Coordinated Networks on Social Media
• [cs.SI]What Contributes to a Crowdfunding Campaign’s Success? Evidence and Analyses from GoFundMe Data
• [eess.IV]Adaptive Direction-Guided Structure Tensor Total Variation
• [eess.IV]Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering
• [eess.IV]Diabetic Retinopathy detection by retinal image recognizing
• [eess.IV]Supervised Segmentation of Retinal Vessel Structures Using ANN
• [eess.SP]Prefix-Free Code Distribution Matching for 5G New Radio
• [eess.SY]Approximating Trajectory Constraints with Machine Learning — Microgrid Islanding with Frequency Constraints
• [eess.SY]Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation
• [math.OC]Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization
• [math.OC]Some convergent results for Backtracking Gradient Descent method on Banach spaces
• [math.ST]A piecewise deterministic Monte Carlo method for diffusion bridges
• [math.ST]Optimal rates for independence testing via $U$-statistic permutation tests
• [math.ST]Weak Detection in the Spiked Wigner Model with General Rank
• [nucl-th]Quantified limits of the nuclear landscape
• [physics.soc-ph]Universal patterns of online news impact
• [q-bio.QM]An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children’s Oncology Group
• [q-bio.QM]Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features
• [q-bio.QM]Substituting Gadolinium in Brain MRI Using DeepContrast
• [quant-ph]Semantic Security for Quantum Wiretap Channels
• [stat.AP]Analysis of Queue Length Prediction from Probe Vehicles Problem with Bunch Arrival Headways
• [stat.AP]Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events
• [stat.AP]Flow Rate Estimation From Probe Vehicle Data And Sample Size Requirements
• [stat.AP]Hierarchical Spatial Modeling of Monotone West Antarctic Snow Density Curves
• [stat.AP]Nonparametric methods for detecting change in Multitemporal SAR/PolSAR Satellite Data
• [stat.ME]Multiscale stick-breaking mixture models
• [stat.ME]Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference
• [stat.ME]The Widely Linear Complex Ornstein-Uhlenbeck Process with Application to Polar Motion
• [stat.ML]A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models
• [stat.ML]Distributed, partially collapsed MCMC for Bayesian Nonparametrics
• [stat.ML]Machine learning for total cloud cover prediction
• [stat.ML]Personalized Activity Recognition with Deep Triplet Embeddings
·····································
• [cond-mat.dis-nn]Simplicial complexes: higher-order spectral dimension and dynamics
Joaquín J. Torres, Ginestra Bianconi
http://arxiv.org/abs/2001.05934v1
• [cond-mat.mtrl-sci]Robust Topological Descriptors for Machine Learning Prediction of Guest Adsorption in Nanoporous Materials
Aditi S. Krishnapriyan, Maciej Haranczyk, Dmitriy Morozov
http://arxiv.org/abs/2001.05972v1
• [cs.AI]Adversarially Guided Self-Play for Adopting Social Conventions
Mycal Tucker, Yilun Zhou, Julie Shah
http://arxiv.org/abs/2001.05994v1
• [cs.AI]Broadening Label-based Argumentation Semantics with May-Must Scales
Ryuta Arisaka, Takayuki Ito
http://arxiv.org/abs/2001.05730v1
• [cs.AI]Modeling and solving the multimodal car- and ride-sharing problem
Miriam Enzi, Sophie N. Parragh, David Pisinger, Matthias Prandtstetter
http://arxiv.org/abs/2001.05490v1
• [cs.AI]On Expert Behaviors and Question Types for Efficient Query-Based Ontology Fault Localization
Patrick Rodler
http://arxiv.org/abs/2001.05952v1
• [cs.CL]A Pilot Study on Multiple Choice Machine Reading Comprehension for Vietnamese Texts
Kiet Van Nguyen, Khiem Vinh Tran, Son T. Luu, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen
http://arxiv.org/abs/2001.05687v1
• [cs.CL]AandP: Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion
Trung Q. Tran
http://arxiv.org/abs/2001.05672v1
• [cs.CL]AggressionNet: Generalised Multi-Modal Deep Temporal and Sequential Learning for Aggression Identification
Anant Khandelwal, Niraj Kumar
http://arxiv.org/abs/2001.05493v1
• [cs.CL]Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
http://arxiv.org/abs/2001.05714v1
• [cs.CL]Lexical Sememe Prediction using Dictionary Definitions by Capturing Local Semantic Correspondence
Jiaju Du, Fanchao Qi, Maosong Sun, Zhiyuan Liu
http://arxiv.org/abs/2001.05954v1
• [cs.CL]Schema2QA: Answering Complex Queries on the Structured Web with a Neural Model
Silei Xu, Giovanni Campagna, Jian Li, Monica S. Lam
http://arxiv.org/abs/2001.05609v1
• [cs.CL]Speech Emotion Recognition Based on Multi-feature and Multi-lingual Fusion
Chunyi Wang
http://arxiv.org/abs/2001.05908v1
• [cs.CL]Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations
Pinkesh Badjatiya, Manish Gupta, Vasudeva Varma
http://arxiv.org/abs/2001.05495v1
• [cs.CR]Incentive Analysis of Bitcoin-NG, Revisited
Jianyu Niu, Ziyu Wang, Fangyu Gai, Chen Feng
http://arxiv.org/abs/2001.05082v2
• [cs.CR]SCAUL: Power Side-Channel Analysis with Unsupervised Learning
Keyvan Ramezanpour, Paul Ampadu, William Diehl
http://arxiv.org/abs/2001.05951v1
• [cs.CV]A “Network Pruning Network” Approach to Deep Model Compression
Vinay Kumar Verma, Pravendra Singh, Vinay P. Namboodiri, Piyush Rai
http://arxiv.org/abs/2001.05545v1
• [cs.CV]A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning
Benjamin Ortiz, David Lindenbaum, Joseph Nassar, Brendan Lammers, John Wahl, Robert Mangum, Margaret Smith, Marc Bosch
http://arxiv.org/abs/2001.05982v1
• [cs.CV]A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data
Linh Kästner, Daniel Dimitrov, Jens Lambrecht
http://arxiv.org/abs/2001.05703v1
• [cs.CV]A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation
Shaoming Zheng, Tianyang Zhang, Jiawei Zhuang, Hao Wang, Jiang Liu
http://arxiv.org/abs/2001.05829v1
• [cs.CV]Assessing Robustness of Deep learning Methods in Dermatological Workflow
Sourav Mishra, Subhajit Chaudhary, Hideaki Imaizumi, Toshihiko Yamasaki
http://arxiv.org/abs/2001.05878v1
• [cs.CV]CDGAN: Cyclic Discriminative Generative Adversarial Networks for Image-to-Image Transformation
Kancharagunta Kishan Babu, Shiv Ram Dubey
http://arxiv.org/abs/2001.05489v1
• [cs.CV]Contextual Sense Making by Fusing Scene Classification, Detections, and Events in Full Motion Video
Marc Bosch, Joseph Nassar, Benjamin Ortiz, Brendan Lammers, David Lindenbaum, John Wahl, Robert Mangum, Margaret Smith
http://arxiv.org/abs/2001.05979v1
• [cs.CV]Continual Learning for Domain Adaptation in Chest X-ray Classification
Matthias Lenga, Heinrich Schulz, Axel Saalbach
http://arxiv.org/abs/2001.05922v1
• [cs.CV]Delving Deeper into the Decoder for Video Captioning
Haoran Chen, Jianmin Li, Xiaolin Hu
http://arxiv.org/abs/2001.05614v1
• [cs.CV]Ensemble based discriminative models for Visual Dialog Challenge 2018
Shubham Agarwal, Raghav Goyal
http://arxiv.org/abs/2001.05865v1
• [cs.CV]Evaluating image matching methods for book cover identification
Rabie Hachemi, Ikram Achar, Biasi Wiga, Mahfoud Sidi Ali Mebarek
http://arxiv.org/abs/2001.05200v1
• [cs.CV]Filter Grafting for Deep Neural Networks
Fanxu Meng, Hao Cheng, Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun, Gaungming Lu
http://arxiv.org/abs/2001.05868v1
• [cs.CV]Identifying Table Structure in Documents using Conditional Generative Adversarial Networks
Nataliya Le Vine, Claus Horn, Matthew Zeigenfuse, Mark Rowan
http://arxiv.org/abs/2001.05853v1
• [cs.CV]Image Segmentation Using Deep Learning: A Survey
Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, Demetri Terzopoulos
http://arxiv.org/abs/2001.05566v1
• [cs.CV]LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices
Hongwei Xie, Jiafang Wang, Baitao Shao, Jian Gu, Mingyang Li
http://arxiv.org/abs/2001.05654v1
• [cs.CV]Learning Spatiotemporal Features via Video and Text Pair Discrimination
Tianhao Li, Limin Wang
http://arxiv.org/abs/2001.05691v1
• [cs.CV]PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
Saeed Amirgholipour, Xiangjian He, Wenjing Jia, Dadong Wang, Lei Liu
http://arxiv.org/abs/2001.05643v1
• [cs.CV]Probabilistic 3D Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu, Antonio Prioletti, Jie Li, Jeannette Bohg
http://arxiv.org/abs/2001.05673v1
• [cs.CV]Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
Li Tao, Xueting Wang, Toshihiko Yamasaki
http://arxiv.org/abs/2001.05661v1
• [cs.CV]Road Network and Travel Time Extraction from Multiple Look Angles with SpaceNet Data
Adam Van Etten, Jacob Shermeyer, Daniel Hogan, Nicholas Weir, Ryan Lewis
http://arxiv.org/abs/2001.05923v1
• [cs.CV]ScaIL: Classifier Weights Scaling for Class Incremental Learning
Eden Belouadah, Adrian Popescu
http://arxiv.org/abs/2001.05755v1
• [cs.CV]Self-supervised visual feature learning with curriculum
Vishal Keshav, Fabien Delattre
http://arxiv.org/abs/2001.05634v1
• [cs.CV]Show, Recall, and Tell: Image Captioning with Recall Mechanism
Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu
http://arxiv.org/abs/2001.05876v1
• [cs.CV]SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence
Deng Yu, Lei Li, Youyi Zheng, Manfred Lau, Yi-Zhe Song, Chew-Lan Tai, Hongbo Fu
http://arxiv.org/abs/2001.05744v1
• [cs.CV]Synergetic Reconstruction from 2D Pose and 3D Motion for Wide-Space Multi-Person Video Motion Capture in the Wild
Takuya Ohashi, Yosuke Ikegami, Yoshihiko Nakamura
http://arxiv.org/abs/2001.05613v1
• [cs.CV]The problems with using STNs to align CNN feature maps
Lukas Finnveden, Ylva Jansson, Tony Lindeberg
http://arxiv.org/abs/2001.05858v1
• [cs.CV]VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection
Yuzhen Ding, Baoxin Li
http://arxiv.org/abs/2001.05578v1
• [cs.CY]Candidate Software Process Flaws for the Boeing 737 Max MCAS Algorithm and Risks for a Proposed Upgrade
Jan A. Bergstra, Mark Burgess
http://arxiv.org/abs/2001.05690v1
• [cs.CY]FaceLift: A transparent deep learning framework to beautify urban scenes
Sagar Joglekar, Daniele Quercia, Miriam Redi, Luca Maria Aiello, Tobias Kauer, Nishanth Sastry
http://arxiv.org/abs/2001.05961v1
• [cs.DC]GPU Tensor Cores for fast Arithmetic Reductions
Cristóbal A. Navarro, Roberto Carrasco, Ricardo J. Barrientos, Javier A. Riquelme, Raimundo Vega
http://arxiv.org/abs/2001.05585v1
• [cs.DC]Run-time Deep Model Multiplexing
Amir Erfan Eshratifar, Massoud Pedram
http://arxiv.org/abs/2001.05870v1
• [cs.DS]Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data
Baichuan Mo, Zhenliang Ma, Haris N. Koutsopoulos, Jinhua Zhao
http://arxiv.org/abs/2001.03196v2
• [cs.HC]“Why is ‘Chicago’ deceptive?” Towards Building Model-Driven Tutorials for Humans
Vivian Lai, Han Liu, Chenhao Tan
http://arxiv.org/abs/2001.05871v1
• [cs.HC]A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education
A. Asadipour, K. Debattista, V. Patel, A. Chalmers
http://arxiv.org/abs/2001.05745v1
• [cs.IR]Assigning credit to scientific datasets using article citation networks
Tong Zeng, Longfeng Wu, Sarah Bratt, Daniel E. Acuna
http://arxiv.org/abs/2001.05917v1
• [cs.IR]Document Network Projection in Pretrained Word Embedding Space
Antoine Gourru, Adrien Guille, Julien Velcin, Julien Jacques
http://arxiv.org/abs/2001.05727v1
• [cs.IT]A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences
Shahab Asoodeh, Jiachun Liao, Flavio P. Calmon, Oliver Kosut, Lalitha Sankar
http://arxiv.org/abs/2001.05990v1
• [cs.IT]Cache-Aided Modulation for Heterogeneous Coded Caching over a Gaussian Broadcast Channel
Mozhgan Bayat, Kai Wan, Mingyue Ji, Giuseppe Caire
http://arxiv.org/abs/2001.05784v1
• [cs.IT]GMD-Based Hybrid Beamforming for Large Reconfigurable Intelligent Surface Assisted Millimeter-Wave Massive MIMO
Keke Ying, Zhen Gao, Shanxiang Lyu, Yongpeng Wu, Hua Wang, Mohamed-Slim Alouini
http://arxiv.org/abs/2001.05763v1
• [cs.IT]Joint Constellation Design for the Two-User Non-Coherent Multiple-Access Channel
Khac-Hoang Ngo, Sheng Yang, Maxime Guillaud, Alexis Decurninge
http://arxiv.org/abs/2001.04970v2
• [cs.IT]Latent-variable Private Information Retrieval
Islam Samy, Mohamed A. Attia, Ravi Tandon, Loukas Lazos
http://arxiv.org/abs/2001.05998v1
• [cs.IT]Notes on Communication and Computation in Secure Distributed Matrix Multiplication
Rafael G. L. D’Oliveira, Salim El Rouayheb, Daniel Heinlein, David Karpuk
http://arxiv.org/abs/2001.05568v1
• [cs.IT]On the decoding of Barnes-Wall lattices
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat, Loïc Brunel
http://arxiv.org/abs/2001.05907v1
• [cs.IT]One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis
Guangxu Zhu, Yuqing Du, Deniz Gunduz, Kaibin Huang
http://arxiv.org/abs/2001.05713v1
• [cs.IT]Optimality of Treating Inter-Cell Interference as Noise Under Finite Precision CSIT
Hamdi Joudeh, Giuseppe Caire
http://arxiv.org/abs/2001.05935v1
• [cs.IT]Proof of Convergence for Correct-Decoding Exponent Computation
Sergey Tridenski, Anelia Somekh-Baruch, Ram Zamir
http://arxiv.org/abs/2001.05711v1
• [cs.IT]Quantum Private Information Retrieval from MDS-coded and Colluding Servers
Matteo Allaix, Lukas Holzbaur, Tefjol Pllaha, Camilla Hollanti
http://arxiv.org/abs/2001.05883v1
• [cs.IT]Queue-Aware Beam Scheduling for Half-Duplex mmWave Relay Networks
Xiaoshen Song, Giuseppe Caire
http://arxiv.org/abs/2001.05586v1
• [cs.IT]The Error Probability of Maximum-Likelihood Decoding over Two Deletion Channels
Omer Sabary, Eitan Yaakobi, Alexander Yucovich
http://arxiv.org/abs/2001.05582v1
• [cs.IT]Weight Enumerators for Number-Theoretic Codes and Cardinalities of Non-binary VT Codes
Takayuki Nozaki
http://arxiv.org/abs/2001.05787v1
• [cs.LG]A Little Fog for a Large Turn
Harshitha Machiraju, Vineeth N Balasubramanian
http://arxiv.org/abs/2001.05873v1
• [cs.LG]Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach
Pengchao Han, Shiqiang Wang, Kin K. Leung
http://arxiv.org/abs/2001.04756v2
• [cs.LG]Cluster-based Zero-shot learning for multivariate data
Toshitaka Hayashi, Hamido Fujita
http://arxiv.org/abs/2001.05624v1
• [cs.LG]Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decisions
Li Ye, Yishi Lin, Hong Xie, John C. S. Lui
http://arxiv.org/abs/2001.05699v1
• [cs.LG]Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
Michael Hind, Dennis Wei, Yunfeng Zhang
http://arxiv.org/abs/2001.05573v1
• [cs.LG]Cross-conformal e-prediction
Vladimir Vovk
http://arxiv.org/abs/2001.05989v1
• [cs.LG]Elastic Consistency: A General Consistency Model for Distributed Stochastic Gradient Descent
Dan Alistarh, Bapi Chatterjee, Vyacheslav Kungurtsev
http://arxiv.org/abs/2001.05918v1
• [cs.LG]Estimating Aggregate Properties In Relational Networks With Unobserved Data
Varun Embar, Sriram Srinivasan, Lise Getoor
http://arxiv.org/abs/2001.05617v1
• [cs.LG]Extreme Regression for Dynamic Search Advertising
Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
http://arxiv.org/abs/2001.05228v2
• [cs.LG]Graph Attentional Autoencoder for Anticancer Hyperfood Prediction
Guadalupe Gonzalez, Shunwang Gong, Ivan Laponogov, Kirill Veselkov, Michael Bronstein
http://arxiv.org/abs/2001.05724v1
• [cs.LG]Human-like Time Series Summaries via Trend Utility Estimation
Pegah Jandaghi, Jay Pujara
http://arxiv.org/abs/2001.05665v1
• [cs.LG]Improving GANs for Speech Enhancement
Huy Phan, Ian V. McLoughlin, Lam Pham, Oliver Y. Chén, Philipp Koch, Maarten De Vos, Alfred Mertins
http://arxiv.org/abs/2001.05532v1
• [cs.LG]Inferring Individual Level Causal Models from Graph-based Relational Time Series
Ryan Rossi, Somdeb Sarkhel, David Arbour, Nesreen Ahmed
http://arxiv.org/abs/2001.05993v1
• [cs.LG]Insertion-Deletion Transformer
Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan
http://arxiv.org/abs/2001.05540v1
• [cs.LG]MIME: Mutual Information Minimisation Exploration
Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson
http://arxiv.org/abs/2001.05636v1
• [cs.LG]Masking schemes for universal marginalisers
Divya Gautam, Maria Lomeli, Kostis Gourgoulias, Daniel H. Thompson, Saurabh Johri
http://arxiv.org/abs/2001.05895v1
• [cs.LG]MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
Joseph Bethge, Christian Bartz, Haojin Yang, Ying Chen, Christoph Meinel
http://arxiv.org/abs/2001.05936v1
• [cs.LG]MixPath: A Unified Approach for One-shot Neural Architecture Search
Xiangxiang Chu, Xudong Li, Yi Lu, Bo Zhang, Jixiang Li
http://arxiv.org/abs/2001.05887v1
• [cs.LG]Mode-Assisted Unsupervised Learning of Restricted Boltzmann Machines
Haik Manukian, Yan Ru Pei, Sean R. B. Bearden, Massimiliano Di Ventra
http://arxiv.org/abs/2001.05559v1
• [cs.LG]Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results
Xiaoxiao Li, Yufeng Gu, Nicha Dvornek, Lawrence Staib, Pamela Ventola, James S. Duncan
http://arxiv.org/abs/2001.05647v1
• [cs.LG]Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods
Nimar S. Arora, Nazanin Khosravani Tehrani, Kinjal Divesh Shah, Michael Tingley, Yucen Lily Li, Narjes Torabi, David Noursi, Sepehr Akhavan Masouleh, Eric Lippert, Erik Meijer
http://arxiv.org/abs/2001.05567v1
• [cs.LG]Noise-tolerant, Reliable Active Classification with Comparison Queries
Max Hopkins, Daniel Kane, Shachar Lovett, Gaurav Mahajan
http://arxiv.org/abs/2001.05497v1
• [cs.LG]On Model Evaluation under Non-constant Class Imbalance
Jan Brabec, Tomáš Komárek, Vojtěch Franc, Lukáš Machlica
http://arxiv.org/abs/2001.05571v1
• [cs.LG]Outlier Detection Ensemble with Embedded Feature Selection
Li Cheng, Yijie Wang, Xinwang Liu, Bin Li
http://arxiv.org/abs/2001.05492v1
• [cs.LG]Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
Wei Hu, Lechao Xiao, Jeffrey Pennington
http://arxiv.org/abs/2001.05992v1
• [cs.LG]Scalable Hyperparameter Optimization with Lazy Gaussian Processes
Raju Ram, Sabine Müller, Franz-Josef Pfreundt, Nicolas R. Gauger, Janis Keuper
http://arxiv.org/abs/2001.05726v1
• [cs.LG]Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
Léopold Cambier, Anahita Bhiwandiwalla, Ting Gong, Mehran Nekuii, Oguz H Elibol, Hanlin Tang
http://arxiv.org/abs/2001.05674v1
• [cs.LG]Smart Data based Ensemble for Imbalanced Big Data Classification
Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera
http://arxiv.org/abs/2001.05759v1
• [cs.LG]Stream-Flow Forecasting of Small Rivers Based on LSTM
Youchuan Hu, Le Yan, Tingting Hang, Jun Feng
http://arxiv.org/abs/2001.05681v1
• [cs.LO]Reward Shaping for Reinforcement Learning with Omega-Regular Objectives
E. M. Hahn, M. Perez, S. Schewe, F. Somenzi, A. Trivedi, D. Wojtczak
http://arxiv.org/abs/2001.05977v1
• [cs.NE]Optimization of Convolutional Neural Network Using the Linearly Decreasing Weight Particle Swarm Optimization
T. Serizawa, H. Fujita
http://arxiv.org/abs/2001.05670v1
• [cs.PF]Duet Benchmarking: Improving Measurement Accuracy in the Cloud
Lubomír Bulej, Vojtěch Horký, Petr Tůma, François Farquet, Aleksandar Prokopec
http://arxiv.org/abs/2001.05811v1
• [cs.RO]3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map
Kentaro Wada, Masaki Murooka, Kei Okada, Masayuki Inaba
http://arxiv.org/abs/2001.05406v2
• [cs.RO]Predicting Target Feature Configuration of Non-stationary Objects for Grasping with Image-Based Visual Servoing
Jesse Haviland, Feras Dayoub, Peter Corke
http://arxiv.org/abs/2001.05650v1
• [cs.RO]Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation
Kentaro Wada, Kei Okada, Masayuki Inaba
http://arxiv.org/abs/2001.05752v1
• [cs.RO]The Penetration of Internet of Things in Robotics: Towards a Web of Robotic Things
Andreas Kamilaris, Nicolo Botteghi
http://arxiv.org/abs/2001.05514v1
• [cs.SD]Learning a Latent Space of Style-Aware Symbolic Music Representations by Adversarial Autoencoders
Andrea Valenti, Antonio Carta, Davide Bacciu
http://arxiv.org/abs/2001.05494v1
• [cs.SI]#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media
Viet Duong, Phu Pham, Ritwik Bose, Jiebo Luo
http://arxiv.org/abs/2001.05970v1
• [cs.SI]Hidden Community Detection on Two-layer Stochastic Models: a Theoretical Prospective
Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcropt
http://arxiv.org/abs/2001.05919v1
• [cs.SI]Knowledge Discovery from Social Media using Big Data provided Sentiment Analysis (SoMABiT)
Mahdi Bohlouli, Jens Dalter, Mareike Dornhöfer, Johannes Zenkert, Madjid Fathi
http://arxiv.org/abs/2001.05996v1
• [cs.SI]The Chameleon Attack: Manipulating Content Display in Online Social Media
Aviad Elyashar, Sagi Uziel, Abigail Paradise, Rami Puzis
http://arxiv.org/abs/2001.05668v1
• [cs.SI]Uncovering Coordinated Networks on Social Media
Diogo Pacheco, Pik-Mai Hui, Christopher Torres-Lugo, Bao Tran Truong, Alessandro Flammini, Filippo Menczer
http://arxiv.org/abs/2001.05658v1
• [cs.SI]What Contributes to a Crowdfunding Campaign’s Success? Evidence and Analyses from GoFundMe Data
Xupin Zhang, Hanjia Lyu, Jiebo Luo
http://arxiv.org/abs/2001.05446v2
• [eess.IV]Adaptive Direction-Guided Structure Tensor Total Variation
Ezgi Demircan-Tureyen, Mustafa E. Kamasak
http://arxiv.org/abs/2001.05717v1
• [eess.IV]Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering
Dezhao Wang, Sifeng Xia, Wenhan Yang, Jiaying Liu
http://arxiv.org/abs/2001.05651v1
• [eess.IV]Diabetic Retinopathy detection by retinal image recognizing
Gilberto Luis De Conto Junior
http://arxiv.org/abs/2001.05835v1
• [eess.IV]Supervised Segmentation of Retinal Vessel Structures Using ANN
Esra Kaya, İsmail Sarıtaş, Ilker Ali Ozkan
http://arxiv.org/abs/2001.05549v1
• [eess.SP]Prefix-Free Code Distribution Matching for 5G New Radio
Junho Cho, Ori Shental
http://arxiv.org/abs/2001.05810v1
• [eess.SY]Approximating Trajectory Constraints with Machine Learning — Microgrid Islanding with Frequency Constraints
Yichen Zhang, Chen Chen, Guodong Liu, Tianqi Hong, Feng Qiu
http://arxiv.org/abs/2001.05775v1
• [eess.SY]Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation
Chong Xiao Wang, Yang Song, Wee Peng Tay
http://arxiv.org/abs/2001.05618v1
• [math.OC]Accelerated Dual-Averaging Primal-Dual Method for Composite Convex Minimization
Conghui Tan, Yuqiu Qian, Shiqian Ma, Tong Zhang
http://arxiv.org/abs/2001.05537v1
• [math.OC]Some convergent results for Backtracking Gradient Descent method on Banach spaces
Tuyen Trung Truong
http://arxiv.org/abs/2001.05768v1
• [math.ST]A piecewise deterministic Monte Carlo method for diffusion bridges
Joris Bierkens, Sebastiano Grazzi, Frank van der Meulen, Moritz Schauer
http://arxiv.org/abs/2001.05889v1
• [math.ST]Optimal rates for independence testing via $U$-statistic permutation tests
Thomas B. Berrett, Ioannis Kontoyiannis, Richard J. Samworth
http://arxiv.org/abs/2001.05513v1
• [math.ST]Weak Detection in the Spiked Wigner Model with General Rank
Ji Hyung Jung, Hye Won Chung, Ji Oon Lee
http://arxiv.org/abs/2001.05676v1
• [nucl-th]Quantified limits of the nuclear landscape
Léo Neufcourt, Yuchen Cao, Samuel A. Giuliani, Witold Nazarewicz, Erik Olsen, Oleg B. Tarasov
http://arxiv.org/abs/2001.05924v1
• [physics.soc-ph]Universal patterns of online news impact
Matúš Medo, Manuel S. Mariani, Linyuan Lü
http://arxiv.org/abs/2001.05955v1
• [q-bio.QM]An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial: A report from the Children’s Oncology Group
Cédric Beaulac, Jeffrey S. Rosenthal, Qinglin Pei, Debra Friedman, Suzanne Wolden, David Hodgson
http://arxiv.org/abs/2001.05534v1
• [q-bio.QM]Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features
Nanyan Zhu, Chen Liu, Zakary S. Singer, Tal Danino, Andrew F. Laine, Jia Guo
http://arxiv.org/abs/2001.05548v1
• [q-bio.QM]Substituting Gadolinium in Brain MRI Using DeepContrast
Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo
http://arxiv.org/abs/2001.05551v1
• [quant-ph]Semantic Security for Quantum Wiretap Channels
Holger Boche, Minglai Cai, Christian Deppe, Roberto Ferrara, Moritz Wiese
http://arxiv.org/abs/2001.05719v1
• [stat.AP]Analysis of Queue Length Prediction from Probe Vehicles Problem with Bunch Arrival Headways
Gurcan Comert, Stacey Franklin Jones
http://arxiv.org/abs/2001.05885v1
• [stat.AP]Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events
Regina Stegherr, Claudia Schmoor, Michael Lübbert, Tim Friede, Jan Beyersmann
http://arxiv.org/abs/2001.05709v1
• [stat.AP]Flow Rate Estimation From Probe Vehicle Data And Sample Size Requirements
Mecit Cetin, Gurcan Comert
http://arxiv.org/abs/2001.05904v1
• [stat.AP]Hierarchical Spatial Modeling of Monotone West Antarctic Snow Density Curves
Philip A. White, Durban G. Keeler, Summer Rupper
http://arxiv.org/abs/2001.05520v1
• [stat.AP]Nonparametric methods for detecting change in Multitemporal SAR/PolSAR Satellite Data
Rodney Fonseca, Guilherme Ludwig, Michel Montoril, Aluísio Pinheiro
http://arxiv.org/abs/2001.05764v1
• [stat.ME]Multiscale stick-breaking mixture models
Marco Stefanucci, Antonio Canale
http://arxiv.org/abs/2001.05729v1
• [stat.ME]Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference
Ye Chen, Qiong Zhang, Mingyang Li, Wenjun Cai
http://arxiv.org/abs/2001.05602v1
• [stat.ME]The Widely Linear Complex Ornstein-Uhlenbeck Process with Application to Polar Motion
Adam M. Sykulski, Sofia C. Olhede, Hanna M. Sykulska-Lawrence
http://arxiv.org/abs/2001.05965v1
• [stat.ML]A Support Detection and Root Finding Approach for Learning High-dimensional Generalized Linear Models
Jian Huang, Yuling Jiao, Lican Kang, Jin Liu, Yanyan Liu, Xiliang Lu
http://arxiv.org/abs/2001.05819v1
• [stat.ML]Distributed, partially collapsed MCMC for Bayesian Nonparametrics
Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson
http://arxiv.org/abs/2001.05591v1
• [stat.ML]Machine learning for total cloud cover prediction
Ágnes Baran, Sebastian Lerch, Mehrez El Ayari, Sándor Baran
http://arxiv.org/abs/2001.05948v1
• [stat.ML]Personalized Activity Recognition with Deep Triplet Embeddings
David M. Burns, Cari M. Whyne
http://arxiv.org/abs/2001.05517v1