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