cs.AI - 人工智能

    cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 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.DS - 动力系统 math.MG -公制几何 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.BM - 生物分子 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
    • [cs.AI]Design and Implementation of Linked Planning Domain Definition Language
    • [cs.AI]Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems
    • [cs.AI]LTLf Synthesis with Fairness and Stability Assumptions
    • [cs.AI]User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
    • [cs.CE]High-resolution imaging on TPUs
    • [cs.CL]A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates
    • [cs.CL]A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
    • [cs.CL]Application of Word2vec in Phoneme Recognition
    • [cs.CL]Cross-Lingual Ability of Multilingual BERT: An Empirical Study
    • [cs.CL]Libri-Light: A Benchmark for ASR with Limited or No Supervision
    • [cs.CL]To What Extent are Name Variants Used as Named Entities in Turkish Tweets?
    • [cs.CV]$\ell0$ Regularized Structured Sparsity Convolutional Neural Networks
    • [cs.CV]APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
    • [cs.CV]Angular Learning: Toward Discriminative Embedded Features
    • [cs.CV]Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game
    • [cs.CV]CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator
    • [cs.CV]Collaborative representation-based robust face recognition by discriminative low-rank representation
    • [cs.CV]Conditional Generative ConvNets for Exemplar-based Texture Synthesis
    • [cs.CV]Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering
    • [cs.CV]Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
    • [cs.CV]Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data
    • [cs.CV]Dim the Lights! — Low-Rank Prior Temporal Data for Specular-Free Video Recovery
    • [cs.CV]EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles
    • [cs.CV]Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent
    • [cs.CV]In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
    • [cs.CV]Joint Architecture and Knowledge Distillation in Convolutional Neural Network for Offline Handwritten Chinese Text Recognition
    • [cs.CV]LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database for NIR-VIS Face Recognition
    • [cs.CV]MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
    • [cs.CV]Multi-focus Image Fusion Based on Similarity Characteristics
    • [cs.CV]Nanoscale Microscopy Images Colourisation Using Neural Networks
    • [cs.CV]PDQ & TMK + PDQF — A Test Drive of Facebook’s Perceptual Hashing Algorithms
    • [cs.CV]PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points
    • [cs.CV]Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network
    • [cs.CV]PointRend: Image Segmentation as Rendering
    • [cs.CV]Quaternion Product Units for Deep Learning on 3D Rotation Groups
    • [cs.CV]Single-Stage Monocular 3D Object Detection with Virtual Cameras
    • [cs.CV]Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
    • [cs.CV]Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
    • [cs.CY]Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences
    • [cs.CY]Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts
    • [cs.CY]Organizing Family Support Services at ACM Conferences
    • [cs.DB]Mosaic: A Sample-Based Database System for Open World Query Processing
    • [cs.DC]PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks
    • [cs.DS]Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments
    • [cs.ET]Defects Mitigation in Resistive Crossbars for Analog Vector Matrix Multiplication
    • [cs.HC]ORC Layout: Adaptive GUI Layout with OR-Constraints
    • [cs.IR]Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
    • [cs.IT]A Spatiotemporal Model for Peak AoI in Uplink IoT Networks: Time Vs Event-triggered Traffic
    • [cs.IT]A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time
    • [cs.IT]Complexity-Adjustable SC Decoding of Polar Codes for Energy Consumption Reduction
    • [cs.IT]NOMA versus OMA in Finite Blocklength Regime: Link-Layer Rate Performance
    • [cs.IT]On Zero-Delay RDF for Vector-Valued Gauss-Markov Sources with Additional Noise
    • [cs.IT]Optimal Fraction Repetition Codes for Access-Balancing in Distributed Storage
    • [cs.IT]Propagation Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in 6G Wireless Systems
    • [cs.IT]Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey
    • [cs.LG]A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media
    • [cs.LG]A Unified Framework for Speech Separation
    • [cs.LG]Adversarial Model Extraction on Graph Neural Networks
    • [cs.LG]An Embarrassingly Simple Baseline for eXtreme Multi-label Prediction
    • [cs.LG]Analyzing Privacy Loss in Updates of Natural Language Models
    • [cs.LG]Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
    • [cs.LG]Capsule Attention for Multimodal EEG and EOG Spatiotemporal Representation Learning with Application to Driver Vigilance Estimation
    • [cs.LG]Continuous Speech Recognition using EEG and Video
    • [cs.LG]Data augmentation approaches for improving animal audio classification
    • [cs.LG]Deep Iterative and Adaptive Learning for Graph Neural Networks
    • [cs.LG]Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
    • [cs.LG]Direction Concentration Learning: Enhancing Congruency in Machine Learning
    • [cs.LG]Embedded Constrained Feature Construction for High-Energy Physics Data Classification
    • [cs.LG]Function Naming in Stripped Binaries Using Neural Networks
    • [cs.LG]Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
    • [cs.LG]HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
    • [cs.LG]Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies
    • [cs.LG]Incorporating Unlabeled Data into Distributionally Robust Learning
    • [cs.LG]Jointly Trained Image and Video Generation using Residual Vectors
    • [cs.LG]On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence
    • [cs.LG]Pairwise Feedback for Data Programming
    • [cs.LG]SGVAE: Sequential Graph Variational Autoencoder
    • [cs.LG]Sim-to-Real Domain Adaptation For High Energy Physics
    • [cs.LG]Supervised learning algorithms resilient to discriminatory data perturbations
    • [cs.LG]UNAS: Differentiable Architecture Search Meets Reinforcement Learning
    • [cs.MA]Mission Oriented Miniature Fixed-wing UAV Swarms: A Multi-layered and Distributed Architecture
    • [cs.MA]Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
    • [cs.MM]Efficient Bitmap-based Indexing and Retrieval of Similarity Search Image Queries
    • [cs.MM]Enhanced Spatially Interleaved Techniques for Multi-View Distributed Video Coding
    • [cs.MM]No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features
    • [cs.NE]Faster and Simpler SNN Simulation with Work Queues
    • [cs.RO]A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach
    • [cs.RO]Conflict Detection and Resolution in Table Top Scenarios for Human-Robot Interaction
    • [cs.RO]Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs
    • [cs.RO]Fast, Composable Rescue Mission Planning for UAVs using Metric Temporal Logic
    • [cs.RO]RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities
    • [cs.RO]To Follow or not to Follow: Selective Imitation Learning from Observations
    • [cs.RO]Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor
    • [cs.RO]WM-INS: A Wheel Mounted IMU Based Integrated Navigation System for Wheeled Robots
    • [cs.RO]When Your Robot Breaks: Active Learning During Plant Failure
    • [cs.SE]Human-In-The-Loop Automatic Program Repair
    • [cs.SE]Probabilistic Software Modeling: A Data-driven Paradigm for Software Analysis
    • [cs.SI]Community detectability and structural balance dynamics in signed networks
    • [eess.IV]Adaptive Densely Connected Super-Resolution Reconstruction
    • [eess.IV]AeroRIT: A New Scene for Hyperspectral Image Analysis
    • [eess.IV]CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging
    • [eess.IV]Causality matters in medical imaging
    • [eess.IV]Comparisonal study of Deep Learning approaches on Retinal OCT Image
    • [eess.IV]Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning
    • [eess.IV]Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks
    • [eess.IV]Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction
    • [eess.IV]Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data
    • [eess.IV]Spatial-Angular Interaction for Light Field Image Super-Resolution
    • [eess.SP]Deep Learning based Multiple Regression to Predict Total Column Water Vapor (TCWV) from Physical Parameters in West Africa by using Keras Library
    • [eess.SP]Deep Radar Waveform Design for Efficient Automotive Radar Sensing
    • [eess.SP]Signal Design for AF Relay Systems using Superposition Coding and Finite-Alphabet Inputs
    • [eess.SY]A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion
    • [math.DS]Differentiable programming and its applications to dynamical systems
    • [math.MG]The dimension of projections induced by a curve
    • [math.NA]A literature survey of matrix methods for data science
    • [math.NA]Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
    • [math.OC]A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs
    • [math.OC]Complexity of Stochastic Dual Dynamic Programming
    • [math.OC]Support Vector Machine Classifier via $L    {0/1}$ Soft-Margin Loss
    • [math.ST]Changing reference measure in Bayes spaces with applications to functional data analysis
    • [math.ST]Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence
    • [math.ST]Jackknife covariance matrix estimation for observations from mixture
    • [math.ST]Nonparametric density estimation for intentionally corrupted functional data
    • [math.ST]R-estimators in GARCH models; asymptotics, applications and bootstrapping
    • [math.ST]Weibull analysis with sequential order statistics under a power trend model for hazard rates
    • [physics.med-ph]A hierarchical approach to deep learning and its application to tomographic reconstruction
    • [physics.soc-ph]Why is the current seeding regime of the UEFA Champions League unfair?
    • [q-bio.BM]Performance of regression models as a function of experiment noise
    • [stat.AP]A Deep Probabilistic Model for Customer Lifetime Value Prediction
    • [stat.AP]Estimation of Residential Radon Concentration in Pennsylvania Counties by Data Fusion
    • [stat.CO]Multiple Change Point Detection and Validation in Autoregressive Time Series Data
    • [stat.CO]Sparse Group Fused Lasso for Model Segmentation
    • [stat.ME]A nonparametric Bayesian approach to simultaneous subject and cell heterogeneity discovery for single cell RNA-seq data
    • [stat.ME]High Order Adjusted Block-wise Empirical Likelihood For Weakly Dependent Data
    • [stat.ME]Optimality of Observed Information Adaptive Designs in Linear Models
    • [stat.ME]Projection pursuit with applications to scRNA sequencing data
    • [stat.ME]Substitutes for the non-existent square lattice designs for 36 varieties
    • [stat.ML]A Finite-Sample Deviation Bound for Stable Autoregressive Processes
    • [stat.ML]Balancing the Tradeoff Between Clustering Value and Interpretability
    • [stat.ML]Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more
    • [stat.ML]How Personal is Machine Learning Personalization?
    • [stat.ML]Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
    • [stat.ML]Learning high-dimensional probability distributions using tree tensor networks

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    • [cs.AI]Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning
    Andrea Celli, Marco Ciccone, Raffaele Bongo, Nicola Gatti
    http://arxiv.org/abs/1912.07712v1

    • [cs.AI]Design and Implementation of Linked Planning Domain Definition Language
    Michiaki Tatsubori, Asim Munawar, Takao Moriyama
    http://arxiv.org/abs/1912.07834v1

    • [cs.AI]Knowledge-Enhanced Attentive Learning for Answer Selection in Community Question Answering Systems
    Fengshi Jing, Qingpeng Zhang
    http://arxiv.org/abs/1912.07915v1

    • [cs.AI]LTLf Synthesis with Fairness and Stability Assumptions
    Shufang Zhu, Giuseppe De Giacomo, Geguang Pu, Moshe Vardi
    http://arxiv.org/abs/1912.07804v1

    • [cs.AI]User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
    Alexander L. Hayes, Mayukh Das, Phillip Odom, Sriraam Natarajan
    http://arxiv.org/abs/1912.07650v1

    • [cs.CE]High-resolution imaging on TPUs
    Fantine Huot, Yi-Fan Chen, Robert Clapp, Carlos Boneti, John Anderson
    http://arxiv.org/abs/1912.08063v1

    • [cs.CL]A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates
    Pepa Gencheva, Ivan Koychev, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov
    http://arxiv.org/abs/1912.08084v1

    • [cs.CL]A Multi-task Learning Model for Chinese-oriented Aspect Polarity Classification and Aspect Term Extraction
    Heng Yang, Biqing Zeng, JianHao Yang, Youwei Song, Ruyang Xu
    http://arxiv.org/abs/1912.07976v1

    • [cs.CL]Application of Word2vec in Phoneme Recognition
    Xin Feng, Lei Wang
    http://arxiv.org/abs/1912.08011v1

    • [cs.CL]Cross-Lingual Ability of Multilingual BERT: An Empirical Study
    Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth
    http://arxiv.org/abs/1912.07840v1

    • [cs.CL]Libri-Light: A Benchmark for ASR with Limited or No Supervision
    Jacob Kahn, Morgane Rivière, Weiyi Zheng, Evgeny Kharitonov, Qiantong Xu, Pierre-Emmanuel Mazaré, Julien Karadayi, Vitaliy Liptchinsky, Ronan Collobert, Christian Fuegen, Tatiana Likhomanenko, Gabriel Synnaeve, Armand Joulin, Abdelrahman Mohamed, Emmanuel Dupoux
    http://arxiv.org/abs/1912.07875v1

    • [cs.CL]To What Extent are Name Variants Used as Named Entities in Turkish Tweets?
    Dilek Küçük
    http://arxiv.org/abs/1912.07940v1

    • [cs.CV]$\ell_0$ Regularized Structured Sparsity Convolutional Neural Networks
    Kevin Bui, Fredrick Park, Shuai Zhang, Yingyong Qi, Jack Xin
    http://arxiv.org/abs/1912.07868v1

    • [cs.CV]APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection
    Anneliese Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer
    http://arxiv.org/abs/1912.08166v1

    • [cs.CV]Angular Learning: Toward Discriminative Embedded Features
    JT Wu, L. Wang
    http://arxiv.org/abs/1912.07819v1

    • [cs.CV]Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game
    Luca Weihs, Aniruddha Kembhavi, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
    http://arxiv.org/abs/1912.08195v1

    • [cs.CV]CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator
    Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan
    http://arxiv.org/abs/1912.07742v1

    • [cs.CV]Collaborative representation-based robust face recognition by discriminative low-rank representation
    Wen Zhao, Xiao-Jun Wu, He-Feng Yin, Zi-Qi Li
    http://arxiv.org/abs/1912.07778v1

    • [cs.CV]Conditional Generative ConvNets for Exemplar-based Texture Synthesis
    Zi-Ming Wang, Meng-Han Li, Gui-Song Xia
    http://arxiv.org/abs/1912.07971v1

    • [cs.CV]Constructing the F-Graph with a Symmetric Constraint for Subspace Clustering
    Kai Xu, Xiao-Jun Wu, Wen-Bo Hu
    http://arxiv.org/abs/1912.07871v1

    • [cs.CV]Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification
    Renchun You, Zhiyao Guo, Lei Cui, Xiang Long, Yingze Bao, Shilei Wen
    http://arxiv.org/abs/1912.07872v1

    • [cs.CV]Deep SCNN-based Real-time Object Detection for Self-driving Vehicles Using LiDAR Temporal Data
    Shibo Zhou, Ying Chen, Qiang Ye
    http://arxiv.org/abs/1912.07906v1

    • [cs.CV]Dim the Lights! — Low-Rank Prior Temporal Data for Specular-Free Video Recovery
    Samar M. Alsaleh, Angelica I. Aviles-Rivero, Noemie Debroux, James K. Hahn
    http://arxiv.org/abs/1912.07764v1

    • [cs.CV]EyeCar: Modeling the Visual Attention Allocation of Drivers in Semi-Autonomous Vehicles
    Sonia Baee, Erfan Pakdamanian, Vicente Ordonez Roman, Inki Kim, Lu Feng, Laura Barnes
    http://arxiv.org/abs/1912.07773v1

    • [cs.CV]Feature Fusion Use Unsupervised Prior Knowledge to Let Small Object Represent
    Tian Liu, Lichun Wang, Shaofan Wang
    http://arxiv.org/abs/1912.08059v1

    • [cs.CV]In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
    Ye Yuan, Wuyang Chen, Yang Yang, Zhangyang Wang
    http://arxiv.org/abs/1912.07863v1

    • [cs.CV]Joint Architecture and Knowledge Distillation in Convolutional Neural Network for Offline Handwritten Chinese Text Recognition
    Zi-Rui Wang, Jun Du
    http://arxiv.org/abs/1912.07806v1

    • [cs.CV]LAMP-HQ: A Large-Scale Multi-Pose High-Quality Database for NIR-VIS Face Recognition
    Aijing Yu, Haoxue Wu, Huaibo Huang, Zhen Lei, Ran He
    http://arxiv.org/abs/1912.07809v1

    • [cs.CV]MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
    Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Timo Bremer
    http://arxiv.org/abs/1912.07748v1

    • [cs.CV]Multi-focus Image Fusion Based on Similarity Characteristics
    Ya-Qiong Zhang, Xiao-Jun Wu, Hui Li
    http://arxiv.org/abs/1912.07959v1

    • [cs.CV]Nanoscale Microscopy Images Colourisation Using Neural Networks
    Israel Goytom, Qin Wang, Tianxiang Yu, Kris Sankaran, Dongdong Lin
    http://arxiv.org/abs/1912.07964v1

    • [cs.CV]PDQ & TMK + PDQF — A Test Drive of Facebook’s Perceptual Hashing Algorithms
    Janis Dalins, Campbell Wilson, Douglas Boudry
    http://arxiv.org/abs/1912.07745v1

    • [cs.CV]PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points
    Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu
    http://arxiv.org/abs/1912.07744v1

    • [cs.CV]Pioneer dataset and automatic recognition of Urdu handwritten characters using a deep autoencoder and convolutional neural network
    Hazrat Ali, Ahsan Ullah, Talha Iqbal, Shahid Khattak
    http://arxiv.org/abs/1912.07943v1

    • [cs.CV]PointRend: Image Segmentation as Rendering
    Alexander Kirillov, Yuxin Wu, Kaiming He, Ross Girshick
    http://arxiv.org/abs/1912.08193v1

    • [cs.CV]Quaternion Product Units for Deep Learning on 3D Rotation Groups
    Xuan Zhang, Shaofei Qin, Yi Xu, Hongteng Xu
    http://arxiv.org/abs/1912.07791v1

    • [cs.CV]Single-Stage Monocular 3D Object Detection with Virtual Cameras
    Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder
    http://arxiv.org/abs/1912.08035v1

    • [cs.CV]Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
    Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, Olga Russakovsky
    http://arxiv.org/abs/1912.07726v1

    • [cs.CV]Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
    Satoshi Kosugi, Toshihiko Yamasaki
    http://arxiv.org/abs/1912.07833v1

    • [cs.CY]Algorithms that “Don’t See Color”: Comparing Biases in Lookalike and Special Ad Audiences
    Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan, Alan Mislove, Aaron Rieke
    http://arxiv.org/abs/1912.07579v2

    • [cs.CY]Machine Learning-based Estimation of Forest Carbon Stocks to increase Transparency of Forest Preservation Efforts
    Björn Lütjens, Lucas Liebenwein, Katharina Kramer
    http://arxiv.org/abs/1912.07850v1

    • [cs.CY]Organizing Family Support Services at ACM Conferences
    Audrey Girouard, Jon E. Froehlich, Regan Mandryk, Mark Hancock
    http://arxiv.org/abs/1912.07456v1

    • [cs.DB]Mosaic: A Sample-Based Database System for Open World Query Processing
    Laurel Orr, Samuel Ainsworth, Walter Cai, Kevin Jamieson, Magda Balazinska, Dan Suciu
    http://arxiv.org/abs/1912.07777v1

    • [cs.DC]PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks
    Sicong Zhou, Huawei Huang, Wuhui Chen, Zibin Zheng, Song Guo
    http://arxiv.org/abs/1912.07860v1

    • [cs.DS]Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments
    Sitan Chen, Jerry Li, Zhao Song
    http://arxiv.org/abs/1912.07629v1

    • [cs.ET]Defects Mitigation in Resistive Crossbars for Analog Vector Matrix Multiplication
    Fan Zhang, Miao Hu
    http://arxiv.org/abs/1912.07829v1

    • [cs.HC]ORC Layout: Adaptive GUI Layout with OR-Constraints
    Yue Jiang, Ruofei Du, Christof Lutteroth, Wolfgang Stuerzlinger
    http://arxiv.org/abs/1912.07827v1

    • [cs.IR]Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
    Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis, Alice Lam, T. Yong-Jin Han, David Buttler, William H. Hsu
    http://arxiv.org/abs/1912.07747v1

    • [cs.IT]A Spatiotemporal Model for Peak AoI in Uplink IoT Networks: Time Vs Event-triggered Traffic
    Mustafa Emara, Hesham ElSawy, Gerhard Bauch
    http://arxiv.org/abs/1912.07855v1

    • [cs.IT]A UAV-Mounted Free Space Optical Communication: Trajectory Optimization for Flight Time
    Ju-Hyung Lee, Ki-Hong Park, Young-Chai Ko, Mohamed-Slim Alouini
    http://arxiv.org/abs/1912.08031v1

    • [cs.IT]Complexity-Adjustable SC Decoding of Polar Codes for Energy Consumption Reduction
    Haotian Zheng, Bin Chen, Luis F. Abanto-Leon, Zizheng Cao, Ton Koonen
    http://arxiv.org/abs/1912.07649v1

    • [cs.IT]NOMA versus OMA in Finite Blocklength Regime: Link-Layer Rate Performance
    Muhammad Amjad, Leila Musavian, Sonia Aïssa
    http://arxiv.org/abs/1912.08119v1

    • [cs.IT]On Zero-Delay RDF for Vector-Valued Gauss-Markov Sources with Additional Noise
    Photios A. Stavrou, Mikael Skoglund
    http://arxiv.org/abs/1912.07640v1

    • [cs.IT]Optimal Fraction Repetition Codes for Access-Balancing in Distributed Storage
    Wenjun Yu, Xiande Zhang, Gennian Ge
    http://arxiv.org/abs/1912.07779v1

    • [cs.IT]Propagation Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in 6G Wireless Systems
    I. Yildirim, A. Uyrus, E. Basar, I. F. Akyildiz
    http://arxiv.org/abs/1912.07350v2

    • [cs.IT]Towards Smart Radio Environment for Wireless Communications via Intelligent Reflecting Surfaces: A Comprehensive Survey
    Shimin Gong, Xiao Lu, Dinh Thai Hoang, Dusit Niyato, Lei Shu, Dong In Kim, Ying-Chang Liang
    http://arxiv.org/abs/1912.07794v1

    • [cs.LG]A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media
    Rahul Radhakrishnan Iyer, Jing Chen, Haonan Sun, Keyang Xu
    http://arxiv.org/abs/1912.07911v1

    • [cs.LG]A Unified Framework for Speech Separation
    Fahimeh Bahmaninezhad, Shi-Xiong Zhang, Yong Xu, Meng Yu, John H. L. Hansen, Dong Yu
    http://arxiv.org/abs/1912.07814v1

    • [cs.LG]Adversarial Model Extraction on Graph Neural Networks
    David DeFazio, Arti Ramesh
    http://arxiv.org/abs/1912.07721v1

    • [cs.LG]An Embarrassingly Simple Baseline for eXtreme Multi-label Prediction
    Yashaswi Verma
    http://arxiv.org/abs/1912.08140v1

    • [cs.LG]Analyzing Privacy Loss in Updates of Natural Language Models
    Shruti Tople, Marc Brockschmidt, Boris Köpf, Olga Ohrimenko, Santiago Zanella-Béguelin
    http://arxiv.org/abs/1912.07942v1

    • [cs.LG]Asynchronous Federated Learning with Differential Privacy for Edge Intelligence
    Yanan Li, Shusen Yang, Xuebin Ren, Cong Zhao
    http://arxiv.org/abs/1912.07902v1

    • [cs.LG]Capsule Attention for Multimodal EEG and EOG Spatiotemporal Representation Learning with Application to Driver Vigilance Estimation
    Guangyi Zhang, Ali Etemad
    http://arxiv.org/abs/1912.07812v1

    • [cs.LG]Continuous Speech Recognition using EEG and Video
    Gautam Krishna, Mason Carnahan, Co Tran, Ahmed H Tewfik
    http://arxiv.org/abs/1912.07730v1

    • [cs.LG]Data augmentation approaches for improving animal audio classification
    Loris Nanni, Gianluca Maguolo, Michelangelo Paci
    http://arxiv.org/abs/1912.07756v1

    • [cs.LG]Deep Iterative and Adaptive Learning for Graph Neural Networks
    Yu Chen, Lingfei Wu, Mohammed J. Zaki
    http://arxiv.org/abs/1912.07832v1

    • [cs.LG]Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
    Arjun Gupta, E. A. Huerta, Zhizhen Zhao, Issam Moussa
    http://arxiv.org/abs/1912.07618v1

    • [cs.LG]Direction Concentration Learning: Enhancing Congruency in Machine Learning
    Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao
    http://arxiv.org/abs/1912.08136v1

    • [cs.LG]Embedded Constrained Feature Construction for High-Energy Physics Data Classification
    Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli, Franck Sabatié
    http://arxiv.org/abs/1912.07999v1

    • [cs.LG]Function Naming in Stripped Binaries Using Neural Networks
    Fiorella Artuso, Giuseppe Antonio Di Luna, Luca Massarelli, Leonardo Querzoni
    http://arxiv.org/abs/1912.07946v1

    • [cs.LG]Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
    Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune
    http://arxiv.org/abs/1912.07768v1

    • [cs.LG]HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting
    Geunseob, Oh, Jean-Sebastien Valois
    http://arxiv.org/abs/1912.08111v1

    • [cs.LG]Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies
    Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears
    http://arxiv.org/abs/1912.08113v1

    • [cs.LG]Incorporating Unlabeled Data into Distributionally Robust Learning
    Charlie Frogner, Sebastian Claici, Edward Chien, Justin Solomon
    http://arxiv.org/abs/1912.07729v1

    • [cs.LG]Jointly Trained Image and Video Generation using Residual Vectors
    Yatin Dandi, Aniket Das, Soumye Singhal, Vinay P. Namboodiri, Piyush Rai
    http://arxiv.org/abs/1912.07991v1

    • [cs.LG]On the Understanding and Interpretation of Machine Learning Predictions in Clinical Gait Analysis Using Explainable Artificial Intelligence
    Fabian Horst, Djordje Slijepcevic, Sebastian Lapuschkin, Anna-Maria Raberger, Matthias Zeppelzauer, Wojciech Samek, Christian Breiteneder, Wolfgang I. Schöllhorn, Brian Horsak
    http://arxiv.org/abs/1912.07737v1

    • [cs.LG]Pairwise Feedback for Data Programming
    Benedikt Boecking, Artur Dubrawski
    http://arxiv.org/abs/1912.07685v1

    • [cs.LG]SGVAE: Sequential Graph Variational Autoencoder
    Bowen Jing, Ethan A. Chi, Jillian Tang
    http://arxiv.org/abs/1912.07800v1

    • [cs.LG]Sim-to-Real Domain Adaptation For High Energy Physics
    Marouen Baalouch, Maxime Defurne, Jean-Philippe Poli, Noëlie Cherrier
    http://arxiv.org/abs/1912.08001v1

    • [cs.LG]Supervised learning algorithms resilient to discriminatory data perturbations
    Przemyslaw A. Grabowicz, Kenta Takatsu, Luis F. Lafuerza
    http://arxiv.org/abs/1912.08189v1

    • [cs.LG]UNAS: Differentiable Architecture Search Meets Reinforcement Learning
    Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz
    http://arxiv.org/abs/1912.07651v1

    • [cs.MA]Mission Oriented Miniature Fixed-wing UAV Swarms: A Multi-layered and Distributed Architecture
    Zhihong Liu, Xiangke Wang, Lincheng Shen, Shulong Zhao, Yirui Cong, Jie Li, Dong Yin, Shengde Jia, Xiaojia Xiang
    http://arxiv.org/abs/1912.06285v1

    • [cs.MA]Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
    Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas, Boi Faltings
    http://arxiv.org/abs/1912.08066v1

    • [cs.MM]Efficient Bitmap-based Indexing and Retrieval of Similarity Search Image Queries
    Omid Jafari, Parth Nagarkar, Jonathan Montaño
    http://arxiv.org/abs/1912.07101v1

    • [cs.MM]Enhanced Spatially Interleaved Techniques for Multi-View Distributed Video Coding
    Nantheera Anantrasirichai, Dimitris Agrafiotis
    http://arxiv.org/abs/1912.07854v1

    • [cs.MM]No-Reference Video Quality Assessment using Multi-Level Spatially Pooled Features
    Franz Götz-Hahn, Vlad Hosu, Hanhe Lin, Dietmar Saupe
    http://arxiv.org/abs/1912.07966v1

    • [cs.NE]Faster and Simpler SNN Simulation with Work Queues
    Dennis Bautembach, Iason Oikonomidis, Nikolaos Kyriazis, Antonis Argyros
    http://arxiv.org/abs/1912.07423v2

    • [cs.RO]A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach
    Nathan K Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein Abbass
    http://arxiv.org/abs/1912.07796v1

    • [cs.RO]Conflict Detection and Resolution in Table Top Scenarios for Human-Robot Interaction
    Avinash Kumar Singh, Kai-Florian Richter
    http://arxiv.org/abs/1912.08097v1

    • [cs.RO]Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs
    Kirk Y. W. Scheper, Guido C. H. E. de Croon
    http://arxiv.org/abs/1912.07735v1

    • [cs.RO]Fast, Composable Rescue Mission Planning for UAVs using Metric Temporal Logic
    Usman A. Fiaz, John S. Baras
    http://arxiv.org/abs/1912.07848v1

    • [cs.RO]RoboCup 2019 AdultSize Winner NimbRo: Deep Learning Perception, In-Walk Kick, Push Recovery, and Team Play Capabilities
    Diego Rodriguez, Hafez Farazi, Grzegorz Ficht, Dmytro Pavlichenko, Andre Brandenburger, Mojtaba Hosseini, Oleg Kosenko, Michael Schreiber, Marcel Missura, Sven Behnke
    http://arxiv.org/abs/1912.07405v2

    • [cs.RO]To Follow or not to Follow: Selective Imitation Learning from Observations
    Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim
    http://arxiv.org/abs/1912.07670v1

    • [cs.RO]Toward Fast and Optimal Robotic Pick-and-Place on a Moving Conveyor
    Shuai D. Han, Si Wei Feng, Jingjin Yu
    http://arxiv.org/abs/1912.08009v1

    • [cs.RO]WM-INS: A Wheel Mounted IMU Based Integrated Navigation System for Wheeled Robots
    Xiaoji Niu, Yibin Wu, Jian Kuang
    http://arxiv.org/abs/1912.07805v1

    • [cs.RO]When Your Robot Breaks: Active Learning During Plant Failure
    Mariah Schrum, Matthew Gombolay
    http://arxiv.org/abs/1912.08116v1

    • [cs.SE]Human-In-The-Loop Automatic Program Repair
    Marcel Böhme, Charaka Geethal, Van-Thuan Pham
    http://arxiv.org/abs/1912.07758v1

    • [cs.SE]Probabilistic Software Modeling: A Data-driven Paradigm for Software Analysis
    Hannes Thaller, Lukas Linsbauer, Rudolf Ramler, Alexander Egyed
    http://arxiv.org/abs/1912.07936v1

    • [cs.SI]Community detectability and structural balance dynamics in signed networks
    Megan Morrison, Michael Gabbay
    http://arxiv.org/abs/1912.07772v1

    • [eess.IV]Adaptive Densely Connected Super-Resolution Reconstruction
    Tangxin Xie, Xin Yang, Yu Jia, Chen Zu, Xiaocuan Li
    http://arxiv.org/abs/1912.08002v1

    • [eess.IV]AeroRIT: A New Scene for Hyperspectral Image Analysis
    Aneesh Rangnekar, Nilay Mokashi, Emmett Ientilucci, Christopher Kanan, Matthew J. Hoffman
    http://arxiv.org/abs/1912.08178v1

    • [eess.IV]CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging
    Zeyu Deng, Lihui Wang, Zixiang Kuai, Qijian Chen, Xinyu Cheng, Feng Yang, Jie Yang, Yuemin Zhu
    http://arxiv.org/abs/1912.07776v1

    • [eess.IV]Causality matters in medical imaging
    Daniel C. Castro, Ian Walker, Ben Glocker
    http://arxiv.org/abs/1912.08142v1

    • [eess.IV]Comparisonal study of Deep Learning approaches on Retinal OCT Image
    Nowshin Tasnim, Mahmudul Hasan, Ishrak Islam
    http://arxiv.org/abs/1912.07783v1

    • [eess.IV]Fast Glioblastoma Detection in Fluid-attenuated inversion recovery (FLAIR) images by Topological Explainable Automatic Machine Learning
    Matteo Rucco
    http://arxiv.org/abs/1912.08167v1

    • [eess.IV]Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks
    Gourav Modanwal, Adithya Vellal, Maciej A. Mazurowski
    http://arxiv.org/abs/1912.08061v1

    • [eess.IV]Rethinking Medical Image Reconstruction via Shape Prior, Going Deeper and Faster: Deep Joint Indirect Registration and Reconstruction
    Jiulong Liu, Angelica I. Aviles-Rivero, Hui Ji, Carola-Bibiane Schönlieb
    http://arxiv.org/abs/1912.07648v1

    • [eess.IV]Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data
    Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Jutta Ellermann, Kâmil Uğurbil, Mehmet Akçakaya
    http://arxiv.org/abs/1912.07669v1

    • [eess.IV]Spatial-Angular Interaction for Light Field Image Super-Resolution
    Yingqian Wang, Longguang Wang, Jungang Yang, Wei An, Jingyi Yu, Yulan Guo
    http://arxiv.org/abs/1912.07849v1

    • [eess.SP]Deep Learning based Multiple Regression to Predict Total Column Water Vapor (TCWV) from Physical Parameters in West Africa by using Keras Library
    Daouda Diouf, Awa Niang, Sylvie Thiria
    http://arxiv.org/abs/1912.07388v1

    • [eess.SP]Deep Radar Waveform Design for Efficient Automotive Radar Sensing
    Shahin Khobahi, Arindam Bose, Mojtaba Soltanalian
    http://arxiv.org/abs/1912.08180v1

    • [eess.SP]Signal Design for AF Relay Systems using Superposition Coding and Finite-Alphabet Inputs
    Bohai Li, He Chen, Zheng Dong, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/1912.07813v1

    • [eess.SY]A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion
    Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen Angelov, Bikash Tiwary, Elnaz Shafipour Yourdshah, Zhao-Xu Yang
    http://arxiv.org/abs/1912.08057v1

    • [math.DS]Differentiable programming and its applications to dynamical systems
    Adrián Hernández, José M. Amigó
    http://arxiv.org/abs/1912.08168v1

    • [math.MG]The dimension of projections induced by a curve
    D. M. Stull
    http://arxiv.org/abs/1912.08060v1

    • [math.NA]A literature survey of matrix methods for data science
    Martin Stoll
    http://arxiv.org/abs/1912.07896v1

    • [math.NA]Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
    Elizabeth Qian, Boris Kramer, Benjamin Peherstorfer, Karen Willcox
    http://arxiv.org/abs/1912.08177v1

    • [math.OC]A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs
    Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel, Sriram Sankaranarayanan
    http://arxiv.org/abs/1912.08112v1

    • [math.OC]Complexity of Stochastic Dual Dynamic Programming
    Guanghui Lan
    http://arxiv.org/abs/1912.07702v1

    • [math.OC]Support Vector Machine Classifier via $L_{0/1}$ Soft-Margin Loss
    Huajun Wang, Yuanhai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
    http://arxiv.org/abs/1912.07418v1

    • [math.ST]Changing reference measure in Bayes spaces with applications to functional data analysis
    R. Talska, A. Menafoglio, K. Hron, J. J. Egozcue, J. Palarea-Albaladejo
    http://arxiv.org/abs/1912.08003v1

    • [math.ST]Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence
    Badr-Eddine Chérief-Abdellatif, Pierre Alquier
    http://arxiv.org/abs/1912.05737v2

    • [math.ST]Jackknife covariance matrix estimation for observations from mixture
    Rostyslav Maiboroda, Olena Sugakova
    http://arxiv.org/abs/1912.07948v1

    • [math.ST]Nonparametric density estimation for intentionally corrupted functional data
    Aurore Delaigle, Alexander Meister
    http://arxiv.org/abs/1912.07879v1

    • [math.ST]R-estimators in GARCH models; asymptotics, applications and bootstrapping
    Hang Liu, Kanchan Mukherjee
    http://arxiv.org/abs/1912.07592v1

    • [math.ST]Weibull analysis with sequential order statistics under a power trend model for hazard rates
    M. Doostparast, M. Hashempour, E. Velayati Moghaddam 1
    http://arxiv.org/abs/1912.07967v1

    • [physics.med-ph]A hierarchical approach to deep learning and its application to tomographic reconstruction
    Lin Fu, Bruno De Man
    http://arxiv.org/abs/1912.07743v1

    • [physics.soc-ph]Why is the current seeding regime of the UEFA Champions League unfair?
    László Csató
    http://arxiv.org/abs/1912.06804v1

    • [q-bio.BM]Performance of regression models as a function of experiment noise
    Gang Li, Jan Zrimec, Boyang Ji, Jun Geng, Johan Larsbrink, Aleksej Zelezniak, Jens Nielsen, Martin KM Engqvist
    http://arxiv.org/abs/1912.08141v1

    • [stat.AP]A Deep Probabilistic Model for Customer Lifetime Value Prediction
    Xiaojing Wang, Tianqi Liu, Jingang Miao
    http://arxiv.org/abs/1912.07753v1

    • [stat.AP]Estimation of Residential Radon Concentration in Pennsylvania Counties by Data Fusion
    Xuze Zhang, Saumyadipta Pyne, Benjamin Kedem
    http://arxiv.org/abs/1912.08149v1

    • [stat.CO]Multiple Change Point Detection and Validation in Autoregressive Time Series Data
    Lijing Ma, Andrew Grant, Georgy Sofronov
    http://arxiv.org/abs/1912.07775v1

    • [stat.CO]Sparse Group Fused Lasso for Model Segmentation
    David Degras
    http://arxiv.org/abs/1912.07761v1

    • [stat.ME]A nonparametric Bayesian approach to simultaneous subject and cell heterogeneity discovery for single cell RNA-seq data
    Qiuyu Wu, Xiangyu Luo
    http://arxiv.org/abs/1912.08050v1

    • [stat.ME]High Order Adjusted Block-wise Empirical Likelihood For Weakly Dependent Data
    Guangxing Wang, Wolfgang Polonik
    http://arxiv.org/abs/1912.07699v1

    • [stat.ME]Optimality of Observed Information Adaptive Designs in Linear Models
    Adam Lane
    http://arxiv.org/abs/1912.08162v1

    • [stat.ME]Projection pursuit with applications to scRNA sequencing data
    Elvis Cui, Heather Zhou
    http://arxiv.org/abs/1912.07602v1

    • [stat.ME]Substitutes for the non-existent square lattice designs for 36 varieties
    R. A. Bailey, Peter J. Cameron, L. H. Soicher, E. R. Williams
    http://arxiv.org/abs/1912.08087v1

    • [stat.ML]A Finite-Sample Deviation Bound for Stable Autoregressive Processes
    Rodrigo A. González, Cristian R. Rojas
    http://arxiv.org/abs/1912.08103v1

    • [stat.ML]Balancing the Tradeoff Between Clustering Value and Interpretability
    Sandhya Saisubramanian, Sainyam Galhotra, Shlomo Zilberstein
    http://arxiv.org/abs/1912.07820v1

    • [stat.ML]Cyanure: An Open-Source Toolbox for Empirical Risk Minimization for Python, C++, and soon more
    Julien Mairal
    http://arxiv.org/abs/1912.08165v1

    • [stat.ML]How Personal is Machine Learning Personalization?
    Travis Greene, Galit Shmueli
    http://arxiv.org/abs/1912.07938v1

    • [stat.ML]Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks
    Donsuk Lee, Yiming Gu, Jerrick Hoang, Micol Marchetti-Bowick
    http://arxiv.org/abs/1912.07882v1

    • [stat.ML]Learning high-dimensional probability distributions using tree tensor networks
    Erwan Grelier, Anthony Nouy, Régis Lebrun
    http://arxiv.org/abs/1912.07913v1