cond-mat.mes-hall - 尺度和物理纳米 cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CE - 计算工程、 金融和科学 cs.CG - 计算几何学 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.DM - 离散数学 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 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.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 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 quant-ph - 量子物理 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

    • [cond-mat.mes-hall]Quantum device fine-tuning using unsupervised embedding learning
    • [cs.AI]A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children
    • [cs.AI]A logic-based relational learning approach to relation extraction: The OntoILPER system
    • [cs.AI]Exploiting Database Management Systems and Treewidth for Counting
    • [cs.AI]Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
    • [cs.AI]Maximal Closed Set and Half-Space Separations in Finite Closure Systems
    • [cs.AI]Merging of Ontologies Through Merging of Their Rules
    • [cs.AI]Multi-Sensor Data and Knowledge Fusion — A Proposal for a Terminology Definition
    • [cs.AI]Nmbr9 as a Constraint Programming Challenge
    • [cs.AI]Perspectives and Ethics of the Autonomous Artificial Thinking Systems
    • [cs.AI]Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
    • [cs.AI]Reward Engineering for Object Pick and Place Training
    • [cs.AI]State Representation and Polyomino Placement for the Game Patchwork
    • [cs.AI]Towards Evaluating Plan Generation Approaches with Instructional Texts
    • [cs.CC]Structural Decompositions of Epistemic Logic Programs
    • [cs.CE]Reliable and interoperable computational molecular engineering: 2. Semantic interoperability based on the European Materials and Modelling Ontology
    • [cs.CG]Evaluating the snappability of bar-joint frameworks
    • [cs.CL]AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
    • [cs.CL]CLUENER2020: Fine-grained Name Entity Recognition for Chinese
    • [cs.CL]Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks
    • [cs.CL]Joint Reasoning for Multi-Faceted Commonsense Knowledge
    • [cs.CL]Learning Cross-Context Entity Representations from Text
    • [cs.CL]Mining customer product reviews for product development: A summarization process
    • [cs.CL]Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
    • [cs.CL]PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata
    • [cs.CL]ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
    • [cs.CL]Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
    • [cs.CL]Revisiting Challenges in Data-to-Text Generation with Fact Grounding
    • [cs.CL]Stochastic Natural Language Generation Using Dependency Information
    • [cs.CR]DeepQuarantine for Suspicious Mail
    • [cs.CR]Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
    • [cs.CR]Wyner-Ziv reconciliation for key exchange based on Ring-LWE
    • [cs.CV]A Bayesian 3D Multi-view Multi-object Tracking Filter
    • [cs.CV]A Comparative Study for Non-rigid Image Registration and Rigid Image Registration
    • [cs.CV]A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection
    • [cs.CV]A Novel Inspection System For Variable Data Printing Using Deep Learning
    • [cs.CV]AE-OT-GAN: Training GANs from data specific latent distribution
    • [cs.CV]Attention Flow: End-to-End Joint Attention Estimation
    • [cs.CV]Attribute-guided Feature Learning Network for Vehicle Re-identification
    • [cs.CV]Bag of Tricks for Retail Product Image Classification
    • [cs.CV]Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
    • [cs.CV]Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
    • [cs.CV]Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation
    • [cs.CV]Classifying All Interacting Pairs in a Single Shot
    • [cs.CV]Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
    • [cs.CV]Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation
    • [cs.CV]Deep Learning for Person Re-identification: A Survey and Outlook
    • [cs.CV]Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
    • [cs.CV]Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
    • [cs.CV]Few-shot Action Recognition via Improved Attention with Self-supervision
    • [cs.CV]Fine-grained Image-to-Image Transformation towards Visual Recognition
    • [cs.CV]GridMask Data Augmentation
    • [cs.CV]Handwritten Character Recognition Using Unique Feature Extraction Technique
    • [cs.CV]Head and Tail Localization of C. elegans
    • [cs.CV]Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Synthesis and Perspective
    • [cs.CV]High-Fidelity Synthesis with Disentangled Representation
    • [cs.CV]Learning Topometric Semantic Maps from Occupancy Grids
    • [cs.CV]MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding
    • [cs.CV]Membership Inference Attacks Against Object Detection Models
    • [cs.CV]Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory
    • [cs.CV]Modeling of Pruning Techniques for Deep Neural Networks Simplification
    • [cs.CV]Multi-source Domain Adaptation for Visual Sentiment Classification
    • [cs.CV]Natural Image Matting via Guided Contextual Attention
    • [cs.CV]Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos
    • [cs.CV]Radial Based Analysis of GRNN in Non-Textured Image Inpainting
    • [cs.CV]Rethinking Class Relations: Absolute-relative Few-shot Learning
    • [cs.CV]Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View
    • [cs.CV]RoutedFusion: Learning Real-time Depth Map Fusion
    • [cs.CV]Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild
    • [cs.CV]Sparse Black-box Video Attack with Reinforcement Learning
    • [cs.CV]Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
    • [cs.CV]Towards Automated Swimming Analytics Using Deep Neural Networks
    • [cs.CV]Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks
    • [cs.CV]Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
    • [cs.CV]Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis
    • [cs.CV]Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders
    • [cs.CV]Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN
    • [cs.CV]Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
    • [cs.CY]Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
    • [cs.CY]Evaluating Online Public Sentiments towards China: A Case Study of English and Chinese Twitter Discourse during the 2019 Chinese National Day
    • [cs.CY]Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
    • [cs.CY]Measuring Women Representation and Impact in Films over Time
    • [cs.CY]Securing Bring-Your-Own-Device (BYOD) Programming Exams
    • [cs.CY]Theory In, Theory Out: How social theory can solve problems that machine learning can’t
    • [cs.DC]Competitive Broadcast against Adaptive Adversary in Multi-channel Radio Networks
    • [cs.DC]Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems
    • [cs.DC]Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing
    • [cs.DC]Notes on Theory of Distributed Systems
    • [cs.DC]Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
    • [cs.DC]Verifiable and Auditable Digital Interchange Framework
    • [cs.DM]Domination in Signed Petri Net
    • [cs.GT]Games Where You Can Play Optimally with Finite Memory
    • [cs.GT]Permissioned Blockchain Revisited: A Byzantine Game-Theoretical Perspective
    • [cs.GT]Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach
    • [cs.HC]Recognition and Localisation of Pointing Gestures using a RGB-D Camera
    • [cs.IR]Negative Statements Considered Useful
    • [cs.IR]Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation
    • [cs.IR]Représentations lexicales pour la détection non supervisée d’événements dans un flux de tweets : étude sur des corpus français et anglais
    • [cs.IT]An Achievable Region for the Multiple Access Wiretap Channels with Confidential and Open Messages
    • [cs.IT]Approximation smooth and sparse functions by deep neural networks without saturation
    • [cs.IT]Average Age of Information for a Multi-Source M/M/1 Queueing Model With Packet Management
    • [cs.IT]Capacity Bounds for Communication Systems with Quantization and Spectral Constraints
    • [cs.IT]Capacity and Optimal Resource Allocation for IRS-assisted Multi-user Communication Systems
    • [cs.IT]Coded Distributed Computing Schemes with Smaller Numbers of Input Files and Output Functions
    • [cs.IT]Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks
    • [cs.IT]Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels
    • [cs.IT]Decentralized sequential active hypothesis testing and the MAC feedback capacity
    • [cs.IT]Distributed Secure Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme
    • [cs.IT]DoF Region of the Decentralized MIMO Broadcast Channel$\unicode{x2014}$How many informed antennas do we need?
    • [cs.IT]Efficient decoding of polar codes with some 16$\times$16 kernels
    • [cs.IT]Error Exponents of Mismatched Likelihood Ratio Testing
    • [cs.IT]Feedback Channel Communication with Low Precision Arithmetic
    • [cs.IT]Finite-Level Quantization Procedures for Construction and Decoding of Polar Codes
    • [cs.IT]Finite-Sample Analysis of Image Registration
    • [cs.IT]Functional Error Correction for Robust Neural Networks
    • [cs.IT]Game of Ages
    • [cs.IT]Gaussian Multiple and Random Access in the Finite Blocklength Regime
    • [cs.IT]Heterogeneous Computation Assignments in Coded Elastic Computing
    • [cs.IT]Information transmission bounds between moving terminals
    • [cs.IT]List Decoding of Universal Polar Codes
    • [cs.IT]Locally Decodable Codes with Randomized Encoding
    • [cs.IT]Minimizing Age of Information via Hybrid NOMA/OMA
    • [cs.IT]NOMA Enhanced Terrestrial and Aerial IoT Networks with Partial CSI
    • [cs.IT]On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing
    • [cs.IT]On the Compressibility of Affinely Singular Random Vectors
    • [cs.IT]On the Gap between Scalar and Vector Solutions of Generalized Combination Networks
    • [cs.IT]On the Jacobi sums over Galois rings
    • [cs.IT]One shot approach to lossy source coding under average distortion constraints
    • [cs.IT]Optimizing the Write Fidelity of MRAMs
    • [cs.IT]Partially symmetric monomial codes
    • [cs.IT]Private Information Retrieval Over Gaussian MAC
    • [cs.IT]Secure Decentralized Pliable Index Coding
    • [cs.IT]The Capacity of Private Information Retrieval Under Arbitrary Collusion Patterns
    • [cs.IT]Unsourced Multiuser Sparse Regression Codes achieve the Symmetric MAC Capacity
    • [cs.IT]Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
    • [cs.LG]Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
    • [cs.LG]An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs
    • [cs.LG]Backward Feature Correction: How Deep Learning Performs Deep Learning
    • [cs.LG]Confidence Scores Make Instance-dependent Label-noise Learning Possible
    • [cs.LG]Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
    • [cs.LG]Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback
    • [cs.LG]Explaining the Explainer: A First Theoretical Analysis of LIME
    • [cs.LG]Fast is better than free: Revisiting adversarial training
    • [cs.LG]Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint
    • [cs.LG]Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction
    • [cs.LG]Incremental Unsupervised Domain-Adversarial Training of Neural Networks
    • [cs.LG]Intelligence, physics and information — the tradeoff between accuracy and simplicity in machine learning
    • [cs.LG]LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
    • [cs.LG]Learning ergodic averages in chaotic systems
    • [cs.LG]Numerical Sequence Prediction using Bayesian Concept Learning
    • [cs.LG]On implicit regularization: Morse functions and applications to matrix factorization
    • [cs.LG]Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
    • [cs.LG]RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders
    • [cs.LG]Reformer: The Efficient Transformer
    • [cs.LG]Relational State-Space Model for Stochastic Multi-Object Systems
    • [cs.LG]ReluDiff: Differential Verification of Deep Neural Networks
    • [cs.LG]Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
    • [cs.LG]Semi-supervised learning method based on predefined evenly-distributed class centroids
    • [cs.LG]Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
    • [cs.LG]Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
    • [cs.LG]Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems
    • [cs.LG]Tangent-Space Gradient Optimization of Tensor Network for Machine Learning
    • [cs.LG]Towards GAN Benchmarks Which Require Generalization
    • [cs.LG]Towards High Performance Java-based Deep Learning Frameworks
    • [cs.LG]Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling
    • [cs.LG]Universal Differential Equations for Scientific Machine Learning
    • [cs.LG]WICA: nonlinear weighted ICA
    • [cs.NI]Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
    • [cs.PF]Optimal Scheduling for Maximizing Information Freshness & System Performance in Industrial Cyber-Physical Systems
    • [cs.PF]The Two-Pass Softmax Algorithm
    • [cs.RO]Are you still with me? Continuous Engagement Assessment from a Robot’s Point of View
    • [cs.RO]Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
    • [cs.RO]LESS is More: Rethinking Probabilistic Models of Human Behavior
    • [cs.RO]Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot
    • [cs.RO]Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning
    • [cs.RO]NimbRo Logistics — Project KittingBot
    • [cs.RO]When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans
    • [cs.SD]CURE Dataset: Ladder Networks for Audio Event Classification
    • [cs.SI]A Game Generative Network Framework with its Application to Relationship Inference
    • [cs.SI]LibreSocial: A Peer-to-Peer Framework for Online Social Networks
    • [eess.AS]Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training
    • [eess.AS]Visually Guided Self Supervised Learning of Speech Representations
    • [eess.IV]Adversarial Loss for Semantic Segmentation of Aerial Imagery
    • [eess.IV]AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
    • [eess.IV]DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
    • [eess.IV]Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering
    • [eess.IV]Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention
    • [eess.SP]Channel Assignment in Uplink Wireless Communication using Machine Learning Approach
    • [eess.SY]Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
    • [math.MG]Majorization and minimal energy on spheres
    • [math.NA]A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
    • [math.NA]Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization
    • [math.OC]Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets
    • [math.OC]Information Newton’s flow: second-order optimization method in probability space
    • [math.OC]On the synthesis of control policies from noisy example datasets: a probabilistic approach
    • [math.ST]Convergence of Chao Unseen Species Estimator
    • [math.ST]Prediction with eventual almost sure guarantees
    • [math.ST]Trees, forests, and impurity-based variable importance
    • [quant-ph]Capacity of Quantum Private Information Retrieval with Colluding Servers
    • [quant-ph]Derivaton of QUBO formulations for sparse estimation
    • [quant-ph]Infinite-fold enhancement in communications capacity using pre-shared entanglement
    • [quant-ph]Linear programming bounds for quantum amplitude damping codes
    • [stat.AP]Breaking hypothesis testing for failure rates
    • [stat.AP]Causal Mediation Analysis with Multiple Treatments and Latent Confounders
    • [stat.AP]Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices
    • [stat.AP]Prediction and Evaluation in College Hockey using the Bradley-Terry-Zermelo Model
    • [stat.AP]Towards causality-aware predictions in static machine learning tasks: the linear structural causal model case
    • [stat.CO]Considering discrepancy when calibrating a mechanistic electrophysiology model
    • [stat.ME]A likelihood analysis of quantile-matching transformations
    • [stat.ME]Causal Inferences in Small Area Estimation
    • [stat.ME]Empirical bias-reducing adjustments to estimating functions
    • [stat.ME]Forecasting multiple functional time series in a group structure: an application to mortality
    • [stat.ME]Generalized Linear Models for Longitudinal Data with Biased Sampling Designs: A Sequential Offsetted Regressions Approach
    • [stat.ME]Notes on Exact Power Calculations for t Tests and Analysis of Covariance
    • [stat.ME]Panel Data Quantile Regression for Treatment Effect Models
    • [stat.ME]Reproducible Bootstrap Aggregating
    • [stat.ME]Review of Probability Distributions for Modeling Count Data
    • [stat.ME]Robust Two-Step Wavelet-Based Inference for Time Series Models
    • [stat.ML]Bayesian Semi-supervised learning under nonparanormality
    • [stat.ML]Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
    • [stat.ML]On Feature Interactions Identified by Shapley Values of Binary Classification Games
    • [stat.ML]POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning

    ·····································

    • [cond-mat.mes-hall]Quantum device fine-tuning using unsupervised embedding learning
    N. M. van Esbroeck, D. T. Lennon, H. Moon, V. Nguyen, F. Vigneau, L. C. Camenzind, L. Yu, D. M. Zumbühl, G. A. D. Briggs, D. Sejdinovic, N. Ares
    http://arxiv.org/abs/2001.04409v1

    • [cs.AI]A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children
    Michael A. Skinner, Lakshmi Raman, Neel Shah, Abdelaziz Farhat, Sriraam Natarajan
    http://arxiv.org/abs/2001.04432v1

    • [cs.AI]A logic-based relational learning approach to relation extraction: The OntoILPER system
    Rinaldo Lima, Bernard Espinasse
    http://arxiv.org/abs/2001.04192v1

    • [cs.AI]Exploiting Database Management Systems and Treewidth for Counting
    Johannes K. Fichte, Markus Hecher, Patrick Thier, Stefan Woltran
    http://arxiv.org/abs/2001.04191v1

    • [cs.AI]Exploiting Language Instructions for Interpretable and Compositional Reinforcement Learning
    Michiel van der Meer, Matteo Pirotta, Elia Bruni
    http://arxiv.org/abs/2001.04418v1

    • [cs.AI]Maximal Closed Set and Half-Space Separations in Finite Closure Systems
    Florian Seiffarth, Tamas Horvath, Stefan Wrobel
    http://arxiv.org/abs/2001.04417v1

    • [cs.AI]Merging of Ontologies Through Merging of Their Rules
    Olegs Verhodubs
    http://arxiv.org/abs/2001.04326v1

    • [cs.AI]Multi-Sensor Data and Knowledge Fusion — A Proposal for a Terminology Definition
    Silvia Beddar-Wiesing, Maarten Bieshaar
    http://arxiv.org/abs/2001.04171v1

    • [cs.AI]Nmbr9 as a Constraint Programming Challenge
    Mikael Zayenz Lagerkvist
    http://arxiv.org/abs/2001.04238v1

    • [cs.AI]Perspectives and Ethics of the Autonomous Artificial Thinking Systems
    Joël Colloc
    http://arxiv.org/abs/2001.04270v1

    • [cs.AI]Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
    Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
    http://arxiv.org/abs/2001.03809v1

    • [cs.AI]Reward Engineering for Object Pick and Place Training
    Raghav Nagpal, Achyuthan Unni Krishnan, Hanshen Yu
    http://arxiv.org/abs/2001.03792v1

    • [cs.AI]State Representation and Polyomino Placement for the Game Patchwork
    Mikael Zayenz Lagerkvist
    http://arxiv.org/abs/2001.04233v1

    • [cs.AI]Towards Evaluating Plan Generation Approaches with Instructional Texts
    Debajyoti Paul Chowdhury, Arghya Biswas, Tomasz Sosnowski, Kristina Yordanova
    http://arxiv.org/abs/2001.04186v1

    • [cs.CC]Structural Decompositions of Epistemic Logic Programs
    Markus Hecher, Michael Morak, Stefan Woltran
    http://arxiv.org/abs/2001.04219v1

    • [cs.CE]Reliable and interoperable computational molecular engineering: 2. Semantic interoperability based on the European Materials and Modelling Ontology
    Martin Thomas Horsch, Silvia Chiacchiera, Youness Bami, Georg J. Schmitz, Gabriele Mogni, Gerhard Goldbeck, Emanuele Ghedini
    http://arxiv.org/abs/2001.04175v1

    • [cs.CG]Evaluating the snappability of bar-joint frameworks
    Georg Nawratil
    http://arxiv.org/abs/2001.04430v1

    • [cs.CL]AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
    Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
    http://arxiv.org/abs/2001.04246v1

    • [cs.CL]CLUENER2020: Fine-grained Name Entity Recognition for Chinese
    Liang Xu, Qianqian Dong, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Xuanwei Zhang
    http://arxiv.org/abs/2001.04351v1

    • [cs.CL]Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks
    R. Thomas McCoy, Robert Frank, Tal Linzen
    http://arxiv.org/abs/2001.03632v1

    • [cs.CL]Joint Reasoning for Multi-Faceted Commonsense Knowledge
    Yohan Chalier, Simon Razniewski, Gerhard Weikum
    http://arxiv.org/abs/2001.04170v1

    • [cs.CL]Learning Cross-Context Entity Representations from Text
    Jeffrey Ling, Nicholas FitzGerald, Zifei Shan, Livio Baldini Soares, Thibault Févry, David Weiss, Tom Kwiatkowski
    http://arxiv.org/abs/2001.03765v1

    • [cs.CL]Mining customer product reviews for product development: A summarization process
    Tianjun Hou, Bernard Yannou, Yann Leroy, Emilie Poirson
    http://arxiv.org/abs/2001.04200v1

    • [cs.CL]Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
    Han Guo, Ramakanth Pasunuru, Mohit Bansal
    http://arxiv.org/abs/2001.04362v1

    • [cs.CL]PatentTransformer-2: Controlling Patent Text Generation by Structural Metadata
    Jieh-Sheng Lee, Jieh Hsiang
    http://arxiv.org/abs/2001.03708v1

    • [cs.CL]ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
    Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou
    http://arxiv.org/abs/2001.04063v1

    • [cs.CL]Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
    Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang
    http://arxiv.org/abs/2001.03844v1

    • [cs.CL]Revisiting Challenges in Data-to-Text Generation with Fact Grounding
    Hongmin Wang
    http://arxiv.org/abs/2001.03830v1

    • [cs.CL]Stochastic Natural Language Generation Using Dependency Information
    Elham Seifossadat, Hossein Sameti
    http://arxiv.org/abs/2001.03897v1

    • [cs.CR]DeepQuarantine for Suspicious Mail
    Nikita Benkovich, Roman Dedenok, Dmitry Golubev
    http://arxiv.org/abs/2001.04168v1

    • [cs.CR]Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer
    Suyoung Lee, HyungSeok Han, Sang Kil Cha, Sooel Son
    http://arxiv.org/abs/2001.04107v1

    • [cs.CR]Wyner-Ziv reconciliation for key exchange based on Ring-LWE
    Charbel Saliba, Laura Luzzi, Cong Ling
    http://arxiv.org/abs/2001.04280v1

    • [cs.CV]A Bayesian 3D Multi-view Multi-object Tracking Filter
    Jonah Ong, Ba Tuong Vo, Ba Ngu Vo, Du Yong Kim, Sven Nordholm
    http://arxiv.org/abs/2001.04118v1

    • [cs.CV]A Comparative Study for Non-rigid Image Registration and Rigid Image Registration
    Xiaoran Zhang, Hexiang Dong, Di Gao, Xiao Zhao
    http://arxiv.org/abs/2001.03831v1

    • [cs.CV]A Light Field Camera Calibration Method Using Sub-Aperture Related Bipartition Projection Model and 4D Corner Detection
    Dongyang Jin, Saiping Zhang, Xiao Huo, Wei Zhang, Fuzheng Yang
    http://arxiv.org/abs/2001.03734v1

    • [cs.CV]A Novel Inspection System For Variable Data Printing Using Deep Learning
    Oren Haik, Oded Perry, Eli Chen, Peter Klammer
    http://arxiv.org/abs/2001.04325v1

    • [cs.CV]AE-OT-GAN: Training GANs from data specific latent distribution
    Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Shing-Tung Yau, Xianfeng Gu
    http://arxiv.org/abs/2001.03698v1

    • [cs.CV]Attention Flow: End-to-End Joint Attention Estimation
    Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
    http://arxiv.org/abs/2001.03960v1

    • [cs.CV]Attribute-guided Feature Learning Network for Vehicle Re-identification
    Huibing Wang, Jinjia Peng, Dongyan Chen, Guangqi Jiang, Tongtong Zhao, Xianping Fu
    http://arxiv.org/abs/2001.03872v1

    • [cs.CV]Bag of Tricks for Retail Product Image Classification
    Muktabh Mayank Srivastava
    http://arxiv.org/abs/2001.03992v1

    • [cs.CV]Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features
    Feng Cen, Guanghui Wang
    http://arxiv.org/abs/2001.04066v1

    • [cs.CV]Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
    Changhee Han, Leonardo Rundo, Kohei Murao, Takafumi Nemoto, Hideki Nakayama, Shin’ichi Satoh
    http://arxiv.org/abs/2001.03923v1

    • [cs.CV]Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation
    Daniel V. Ruiz, Gabriel Salomon, Eduardo Todt
    http://arxiv.org/abs/2001.03637v1

    • [cs.CV]Classifying All Interacting Pairs in a Single Shot
    Sanaa Chafik, Astrid Orcesi, Romaric Audigier, Bertrand Luvison
    http://arxiv.org/abs/2001.04360v1

    • [cs.CV]Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
    Xiaoqing Guo, Zhen Chen, Yixuan Yuan
    http://arxiv.org/abs/2001.03893v1

    • [cs.CV]Concurrently Extrapolating and Interpolating Networks for Continuous Model Generation
    Lijun Zhao, Jinjing Zhang, Fan Zhang, Anhong Wang, Huihui Bai, Yao Zhao
    http://arxiv.org/abs/2001.03847v1

    • [cs.CV]Deep Learning for Person Re-identification: A Survey and Outlook
    Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, Steven C. H. Hoi
    http://arxiv.org/abs/2001.04193v1

    • [cs.CV]Deep Optimized Multiple Description Image Coding via Scalar Quantization Learning
    Lijun Zhao, Huihui Bai, Anhong Wang, Yao Zhao
    http://arxiv.org/abs/2001.03851v1

    • [cs.CV]Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
    Farhana Sultana, Abu Sufian, Paramartha Dutta
    http://arxiv.org/abs/2001.04074v1

    • [cs.CV]Few-shot Action Recognition via Improved Attention with Self-supervision
    Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz
    http://arxiv.org/abs/2001.03905v1

    • [cs.CV]Fine-grained Image-to-Image Transformation towards Visual Recognition
    Wei Xiong, Yutong He, Yixuan Zhang, Wenhan Luo, Lin Ma, Jiebo Luo
    http://arxiv.org/abs/2001.03856v1

    • [cs.CV]GridMask Data Augmentation
    Pengguang Chen
    http://arxiv.org/abs/2001.04086v1

    • [cs.CV]Handwritten Character Recognition Using Unique Feature Extraction Technique
    Sai Abhishikth Ayyadevara, P N V Sai Ram Teja, Bharath K P, Rajesh Kumar M
    http://arxiv.org/abs/2001.04208v1

    • [cs.CV]Head and Tail Localization of C. elegans
    Mansi Ranjit Mane, Aniket Anand Deshmukh, Adam J. Iliff
    http://arxiv.org/abs/2001.03981v1

    • [cs.CV]Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Synthesis and Perspective
    Olivier Guye
    http://arxiv.org/abs/2001.04322v1

    • [cs.CV]High-Fidelity Synthesis with Disentangled Representation
    Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
    http://arxiv.org/abs/2001.04296v1

    • [cs.CV]Learning Topometric Semantic Maps from Occupancy Grids
    Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke
    http://arxiv.org/abs/2001.03676v1

    • [cs.CV]MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding
    Geondo Park, Chihye Han, Wonjun Yoon, Daeshik Kim
    http://arxiv.org/abs/2001.03712v1

    • [cs.CV]Membership Inference Attacks Against Object Detection Models
    Yeachan Park, Myungjoo Kang
    http://arxiv.org/abs/2001.04011v1

    • [cs.CV]Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory
    Xinyu Zhang, Dong Gong, Jiewei Cao, Chunhua Shen
    http://arxiv.org/abs/2001.04123v1

    • [cs.CV]Modeling of Pruning Techniques for Deep Neural Networks Simplification
    Morteza Mousa Pasandi, Mohsen Hajabdollahi, Nader Karimi, Shadrokh Samavi
    http://arxiv.org/abs/2001.04062v1

    • [cs.CV]Multi-source Domain Adaptation for Visual Sentiment Classification
    Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua
    http://arxiv.org/abs/2001.03886v1

    • [cs.CV]Natural Image Matting via Guided Contextual Attention
    Yaoyi Li, Hongtao Lu
    http://arxiv.org/abs/2001.04069v1

    • [cs.CV]Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos
    Aram Ter-Sarkisov
    http://arxiv.org/abs/2001.03659v1

    • [cs.CV]Radial Based Analysis of GRNN in Non-Textured Image Inpainting
    Karthik R, Anvita Dwivedi, Haripriya M, Bharath K P, Rajesh Kumar M
    http://arxiv.org/abs/2001.04215v1

    • [cs.CV]Rethinking Class Relations: Absolute-relative Few-shot Learning
    Hongguang Zhang, Philip H. S. Torr, Hongdong Li, Songlei Jian, Piotr Koniusz
    http://arxiv.org/abs/2001.03919v1

    • [cs.CV]Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View
    Harsh Mehta, Yoav Artzi, Jason Baldridge, Eugene Ie, Piotr Mirowski
    http://arxiv.org/abs/2001.03671v1

    • [cs.CV]RoutedFusion: Learning Real-time Depth Map Fusion
    Silvan Weder, Johannes Schönberger, Marc Pollefeys, Martin R. Oswald
    http://arxiv.org/abs/2001.04388v1

    • [cs.CV]Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild
    Canjie Luo, Qingxiang Lin, Yuliang Liu, Lianwen Jin, Chunhua Shen
    http://arxiv.org/abs/2001.04189v1

    • [cs.CV]Sparse Black-box Video Attack with Reinforcement Learning
    Huanqian Yan, Xingxing Wei, Bo Li
    http://arxiv.org/abs/2001.03754v1

    • [cs.CV]Symmetric Skip Connection Wasserstein GAN for High-Resolution Facial Image Inpainting
    Jireh Jam, Connah Kendrick, Vincent Drouard, Kevin Walker, Gee-Sern Hsu, Moi Hoon Yap
    http://arxiv.org/abs/2001.03725v1

    • [cs.CV]Towards Automated Swimming Analytics Using Deep Neural Networks
    Timothy Woinoski, Alon Harell, Ivan V. Bajic
    http://arxiv.org/abs/2001.04433v1

    • [cs.CV]Towards Generalizable Surgical Activity Recognition Using Spatial Temporal Graph Convolutional Networks
    Duygu Sarikaya, Pierre Jannin
    http://arxiv.org/abs/2001.03728v1

    • [cs.CV]Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
    Dan Liu, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu
    http://arxiv.org/abs/2001.04163v1

    • [cs.CV]Understanding Graph Isomorphism Network for Brain MR Functional Connectivity Analysis
    Byung-Hoon Kim, Jong Chul Ye
    http://arxiv.org/abs/2001.03690v1

    • [cs.CV]Unsupervised Any-to-Many Audiovisual Synthesis via Exemplar Autoencoders
    Kangle Deng, Aayush Bansal, Deva Ramanan
    http://arxiv.org/abs/2001.04463v1

    • [cs.CV]Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN
    Alona Baruhov, Guy Gilboa
    http://arxiv.org/abs/2001.03779v1

    • [cs.CV]Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
    Ling-Yu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, Wen Gao
    http://arxiv.org/abs/2001.03569v2

    • [cs.CY]Beyond Near- and Long-Term: Towards a Clearer Account of Research Priorities in AI Ethics and Society
    Carina Prunkl, Jess Whittlestone
    http://arxiv.org/abs/2001.04335v1

    • [cs.CY]Evaluating Online Public Sentiments towards China: A Case Study of English and Chinese Twitter Discourse during the 2019 Chinese National Day
    Yekai Xu, Zuofang Wan, Qingqian He, Shiguang Ni
    http://arxiv.org/abs/2001.04034v1

    • [cs.CY]Investigating the Impact of Inclusion in Face Recognition Training Data on Individual Face Identification
    Chris Dulhanty, Alexander Wong
    http://arxiv.org/abs/2001.03071v2

    • [cs.CY]Measuring Women Representation and Impact in Films over Time
    Luoying Yang, Zhou Xu, Jiebo Luo
    http://arxiv.org/abs/2001.03513v2

    • [cs.CY]Securing Bring-Your-Own-Device (BYOD) Programming Exams
    Oka Kurniawan, Norman Tiong Seng Lee, Christopher M. Poskitt
    http://arxiv.org/abs/2001.03942v1

    • [cs.CY]Theory In, Theory Out: How social theory can solve problems that machine learning can’t
    Jason Radford, Kenneth Joseph
    http://arxiv.org/abs/2001.03203v2

    • [cs.DC]Competitive Broadcast against Adaptive Adversary in Multi-channel Radio Networks
    Haimin Chen, Chaodong Zheng
    http://arxiv.org/abs/2001.03936v1

    • [cs.DC]Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems
    Paul j. Pritz, Daniel Perez, Kin K. Leung
    http://arxiv.org/abs/2001.04281v1

    • [cs.DC]Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing
    Xiangqiang Gao, Rongke Liu, Aryan Kaushik
    http://arxiv.org/abs/2001.03929v1

    • [cs.DC]Notes on Theory of Distributed Systems
    James Aspnes
    http://arxiv.org/abs/2001.04235v1

    • [cs.DC]Private and Communication-Efficient Edge Learning: A Sparse Differential Gaussian-Masking Distributed SGD Approach
    Xin Zhang, Minghong Fang, Jia Liu, Zhengyuan Zhu
    http://arxiv.org/abs/2001.03836v1

    • [cs.DC]Verifiable and Auditable Digital Interchange Framework
    Prabal Banarjee, Dushyant Behl, Palanivel Kodeswaran, Chaitanya Kumar, Sushmita Ruj, Sayandeep Sen
    http://arxiv.org/abs/2001.03717v1

    • [cs.DM]Domination in Signed Petri Net
    Payal, Sangita Kansal
    http://arxiv.org/abs/2001.04374v1

    • [cs.GT]Games Where You Can Play Optimally with Finite Memory
    Patricia Bouyer, Stéphane Le Roux, Youssouf Oualhadj, Mickael Randour, Pierre Vandenhove
    http://arxiv.org/abs/2001.03894v1

    • [cs.GT]Permissioned Blockchain Revisited: A Byzantine Game-Theoretical Perspective
    Dongfang Zhao
    http://arxiv.org/abs/2001.03822v1

    • [cs.GT]Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach
    Faheem Zafari, Prithwish Basu, Kin K. Leung, Jian Li, Ananthram Swami, Don Towsley
    http://arxiv.org/abs/2001.04229v1

    • [cs.HC]Recognition and Localisation of Pointing Gestures using a RGB-D Camera
    Naina Dhingra, Eugenio Valli, Andreas Kunz
    http://arxiv.org/abs/2001.03687v1

    • [cs.IR]Negative Statements Considered Useful
    Hiba Arnaout, Simon Razniewski, Gerhard Weikum
    http://arxiv.org/abs/2001.04425v1

    • [cs.IR]Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation
    Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
    http://arxiv.org/abs/2001.04253v1

    • [cs.IR]Représentations lexicales pour la détection non supervisée d’événements dans un flux de tweets : étude sur des corpus français et anglais
    Béatrice Mazoyer, Nicolas Hervé, Céline Hudelot, Julia Cage
    http://arxiv.org/abs/2001.04139v1

    • [cs.IT]An Achievable Region for the Multiple Access Wiretap Channels with Confidential and Open Messages
    Hao Xu, Giuseppe Caire, Cunhua Pan
    http://arxiv.org/abs/2001.03722v1

    • [cs.IT]Approximation smooth and sparse functions by deep neural networks without saturation
    Xia Liu
    http://arxiv.org/abs/2001.04114v1

    • [cs.IT]Average Age of Information for a Multi-Source M/M/1 Queueing Model With Packet Management
    Mohammad Moltafet, Markus Leinonen, Marian Codreanu
    http://arxiv.org/abs/2001.03959v1

    • [cs.IT]Capacity Bounds for Communication Systems with Quantization and Spectral Constraints
    Sourjya Dutta, Abbas Khalili, Elza Erkip, Sundeep Rangan
    http://arxiv.org/abs/2001.03870v1

    • [cs.IT]Capacity and Optimal Resource Allocation for IRS-assisted Multi-user Communication Systems
    Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, Naofal Al-Dhahir
    http://arxiv.org/abs/2001.03913v1

    • [cs.IT]Coded Distributed Computing Schemes with Smaller Numbers of Input Files and Output Functions
    Jing Jiang, Lingxiao Qu
    http://arxiv.org/abs/2001.04194v1

    • [cs.IT]Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks
    Yaping Sun, Lyutianyang Zhang, Zhiyong Chen, Sumit Roy
    http://arxiv.org/abs/2001.03946v1

    • [cs.IT]Computable Lower Bounds for Capacities of Input-Driven Finite-State Channels
    V. Arvind Rameshwar, Navin Kashyap
    http://arxiv.org/abs/2001.03423v2

    • [cs.IT]Decentralized sequential active hypothesis testing and the MAC feedback capacity
    Achilleas Anastasopoulos, Sandeep Pradhan
    http://arxiv.org/abs/2001.03807v1

    • [cs.IT]Distributed Secure Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme
    Remi A. Chou, Joerg Kliewer
    http://arxiv.org/abs/2001.04241v1

    • [cs.IT]DoF Region of the Decentralized MIMO Broadcast Channel$\unicode{x2014}$How many informed antennas do we need?
    Antonio Bazco-Nogueras, Arash Davoodi, Paul de Kerret, David Gesbert, Nicolas Gresset, Syed Jafar
    http://arxiv.org/abs/2001.04358v1

    • [cs.IT]Efficient decoding of polar codes with some 16$\times$16 kernels
    Grigorii Trofimiuk, Peter Trifonov
    http://arxiv.org/abs/2001.03921v1

    • [cs.IT]Error Exponents of Mismatched Likelihood Ratio Testing
    Parham Boroumand, Albert Guillen i Fabregas
    http://arxiv.org/abs/2001.03917v1

    • [cs.IT]Feedback Channel Communication with Low Precision Arithmetic
    Yonatan Urman, David Burshtein
    http://arxiv.org/abs/2001.03931v1

    • [cs.IT]Finite-Level Quantization Procedures for Construction and Decoding of Polar Codes
    Yunus Inan, Emre Telatar
    http://arxiv.org/abs/2001.04009v1

    • [cs.IT]Finite-Sample Analysis of Image Registration
    Ravi Kiran Raman, Lav R. Varshney
    http://arxiv.org/abs/2001.03869v1

    • [cs.IT]Functional Error Correction for Robust Neural Networks
    Kunping Huang, Paul Siegel, Anxiao, Jiang
    http://arxiv.org/abs/2001.03814v1

    • [cs.IT]Game of Ages
    Kumar Saurav, Rahul Vaze
    http://arxiv.org/abs/2001.04427v1

    • [cs.IT]Gaussian Multiple and Random Access in the Finite Blocklength Regime
    Recep Can Yavas, Victoria Kostina, Michelle Effros
    http://arxiv.org/abs/2001.03867v1

    • [cs.IT]Heterogeneous Computation Assignments in Coded Elastic Computing
    Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji
    http://arxiv.org/abs/2001.04005v1

    • [cs.IT]Information transmission bounds between moving terminals
    Omar James Faqir, Eric C. Kerrigan, Deniz Gündüz
    http://arxiv.org/abs/2001.04258v1

    • [cs.IT]List Decoding of Universal Polar Codes
    Boaz Shuval, Ido Tal
    http://arxiv.org/abs/2001.03784v1

    • [cs.IT]Locally Decodable Codes with Randomized Encoding
    Kuan Cheng, Xin Li, Yu Zheng
    http://arxiv.org/abs/2001.03692v1

    • [cs.IT]Minimizing Age of Information via Hybrid NOMA/OMA
    Qian Wang, He Chen, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/2001.04042v1

    • [cs.IT]NOMA Enhanced Terrestrial and Aerial IoT Networks with Partial CSI
    Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen
    http://arxiv.org/abs/2001.03757v1

    • [cs.IT]On Approximate Message Passing for Unsourced Access with Coded Compressed Sensing
    Vamsi K. Amalladinne, Asit Kumar Pradhan, Cynthia Rush, Jean-Francois Chamberland, Krishna R. Narayanan
    http://arxiv.org/abs/2001.03705v1

    • [cs.IT]On the Compressibility of Affinely Singular Random Vectors
    Mohammad-Amin Charusaie, Stefano Rini, Arash Amini
    http://arxiv.org/abs/2001.03884v1

    • [cs.IT]On the Gap between Scalar and Vector Solutions of Generalized Combination Networks
    Hedongliang Liu, Hengjia Wei, Sven Puchinger, Antonia Wachter-Zeh, Moshe Schwartz
    http://arxiv.org/abs/2001.04150v1

    • [cs.IT]On the Jacobi sums over Galois rings
    Dengming Xu
    http://arxiv.org/abs/2001.04028v1

    • [cs.IT]One shot approach to lossy source coding under average distortion constraints
    Nir Elkayam, Meir Feder
    http://arxiv.org/abs/2001.03983v1

    • [cs.IT]Optimizing the Write Fidelity of MRAMs
    Yongjune Kim, Yoocharn Jeon, Cyril Guyot, Yuval Cassuto
    http://arxiv.org/abs/2001.03803v1

    • [cs.IT]Partially symmetric monomial codes
    Kirill Ivanov, Rüdiger Urbanke
    http://arxiv.org/abs/2001.03790v1

    • [cs.IT]Private Information Retrieval Over Gaussian MAC
    Ori Shmuel, Asaf Cohen, Omer Gurewitz
    http://arxiv.org/abs/2001.03753v1

    • [cs.IT]Secure Decentralized Pliable Index Coding
    Tang Liu, Daniela Tuninetti
    http://arxiv.org/abs/2001.03810v1

    • [cs.IT]The Capacity of Private Information Retrieval Under Arbitrary Collusion Patterns
    Xinyu Yao, Nan Liu, Wei Kang
    http://arxiv.org/abs/2001.03843v1

    • [cs.IT]Unsourced Multiuser Sparse Regression Codes achieve the Symmetric MAC Capacity
    Alexander Fengler, Peter Jung, Giuseppe Caire
    http://arxiv.org/abs/2001.04217v1

    • [cs.IT]Upper Bound Scalability on Achievable Rates of Batched Codes for Line Networks
    Shenghao Yang, Jie Wang
    http://arxiv.org/abs/2001.04055v1

    • [cs.LG]Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
    Masoumeh Soflaei, Hongyu Guo, Ali Al-Bashabsheh, Yongyi Mao, Richong Zhang
    http://arxiv.org/abs/2001.03955v1

    • [cs.LG]An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs
    Joseph D. Janizek, Gabriel Erion, Alex J. DeGrave, Su-In Lee
    http://arxiv.org/abs/2001.04051v1

    • [cs.LG]Backward Feature Correction: How Deep Learning Performs Deep Learning
    Zeyuan Allen-Zhu, Yuanzhi Li
    http://arxiv.org/abs/2001.04413v1

    • [cs.LG]Confidence Scores Make Instance-dependent Label-noise Learning Possible
    Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama
    http://arxiv.org/abs/2001.03772v1

    • [cs.LG]Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection
    Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
    http://arxiv.org/abs/2001.04271v1

    • [cs.LG]Deep Reinforcement Learning for Complex Manipulation Tasks with Sparse Feedback
    Binyamin Manela
    http://arxiv.org/abs/2001.03877v1

    • [cs.LG]Explaining the Explainer: A First Theoretical Analysis of LIME
    Damien Garreau, Ulrike von Luxburg
    http://arxiv.org/abs/2001.03447v2

    • [cs.LG]Fast is better than free: Revisiting adversarial training
    Eric Wong, Leslie Rice, J. Zico Kolter
    http://arxiv.org/abs/2001.03994v1

    • [cs.LG]Fundamental Limits of Online Learning: An Entropic-Innovations Viewpoint
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2001.03813v1

    • [cs.LG]Hyperparameters optimization for Deep Learning based emotion prediction for Human Robot Interaction
    Shruti Jaiswal, Gora Chand Nandi
    http://arxiv.org/abs/2001.03855v1

    • [cs.LG]Incremental Unsupervised Domain-Adversarial Training of Neural Networks
    Antonio-Javier Gallego, Jorge Calvo-Zaragoza, Robert B. Fisher
    http://arxiv.org/abs/2001.04129v1

    • [cs.LG]Intelligence, physics and information — the tradeoff between accuracy and simplicity in machine learning
    Tailin Wu
    http://arxiv.org/abs/2001.03780v1

    • [cs.LG]LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
    Vlad Niculae, André F. T. Martins
    http://arxiv.org/abs/2001.04437v1

    • [cs.LG]Learning ergodic averages in chaotic systems
    Francisco Huhn, Luca Magri
    http://arxiv.org/abs/2001.04027v1

    • [cs.LG]Numerical Sequence Prediction using Bayesian Concept Learning
    Mohith Damarapati, Inavamsi B. Enaganti, Alfred Ajay Aureate Rajakumar
    http://arxiv.org/abs/2001.04072v1

    • [cs.LG]On implicit regularization: Morse functions and applications to matrix factorization
    Mohamed Ali Belabbas
    http://arxiv.org/abs/2001.04264v1

    • [cs.LG]Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants
    Shahab Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-Wing Chau
    http://arxiv.org/abs/2001.04276v1

    • [cs.LG]RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders
    Takashi Nicholas Maeda, Shohei Shimizu
    http://arxiv.org/abs/2001.04197v1

    • [cs.LG]Reformer: The Efficient Transformer
    Nikita Kitaev, Łukasz Kaiser, Anselm Levskaya
    http://arxiv.org/abs/2001.04451v1

    • [cs.LG]Relational State-Space Model for Stochastic Multi-Object Systems
    Fan Yang, Ling Chen, Fan Zhou, Yusong Gao, Wei Cao
    http://arxiv.org/abs/2001.04050v1

    • [cs.LG]ReluDiff: Differential Verification of Deep Neural Networks
    Brandon Paulsen, Jingbo Wang, Chao Wang
    http://arxiv.org/abs/2001.03662v1

    • [cs.LG]Residual Attention Net for Superior Cross-Domain Time Sequence Modeling
    Seth H. Huang, Xu Lingjie, Jiang Congwei
    http://arxiv.org/abs/2001.04077v1

    • [cs.LG]Semi-supervised learning method based on predefined evenly-distributed class centroids
    Qiuyu Zhu, Tiantian Li
    http://arxiv.org/abs/2001.04092v1

    • [cs.LG]Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
    Yao Zhang, Daniel Jarrett, Mihaela van der Schaar
    http://arxiv.org/abs/2001.03898v1

    • [cs.LG]Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
    Luo Luo, Haishan Ye, Tong Zhang
    http://arxiv.org/abs/2001.03724v1

    • [cs.LG]Symplectic networks: Intrinsic structure-preserving networks for identifying Hamiltonian systems
    Pengzhan Jin, Aiqing Zhu, George Em Karniadakis, Yifa Tang
    http://arxiv.org/abs/2001.03750v1

    • [cs.LG]Tangent-Space Gradient Optimization of Tensor Network for Machine Learning
    Zheng-zhi Sun, Shi-ju Ran, Gang Su
    http://arxiv.org/abs/2001.04029v1

    • [cs.LG]Towards GAN Benchmarks Which Require Generalization
    Ishaan Gulrajani, Colin Raffel, Luke Metz
    http://arxiv.org/abs/2001.03653v1

    • [cs.LG]Towards High Performance Java-based Deep Learning Frameworks
    Athanasios Stratikopoulos, Juan Fumero, Zoran Sevarac, Christos Kotselidis
    http://arxiv.org/abs/2001.04206v1

    • [cs.LG]Unbiased and Efficient Log-Likelihood Estimation with Inverse Binomial Sampling
    Bas van Opheusden, Luigi Acerbi, Wei Ji Ma
    http://arxiv.org/abs/2001.03985v1

    • [cs.LG]Universal Differential Equations for Scientific Machine Learning
    Christopher Rackauckas, Yingbo Ma, Julius Martensen, Collin Warner, Kirill Zubov, Rohit Supekar, Dominic Skinner, Ali Ramadhan
    http://arxiv.org/abs/2001.04385v1

    • [cs.LG]WICA: nonlinear weighted ICA
    Andrzej Bedychaj, Przemysław Spurek, Aleksandra Nowak, Jacek Tabor
    http://arxiv.org/abs/2001.04147v1

    • [cs.NI]Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching
    Xianzhe Xu, Meixia Tao, Cong Shen
    http://arxiv.org/abs/2001.03835v1

    • [cs.PF]Optimal Scheduling for Maximizing Information Freshness & System Performance in Industrial Cyber-Physical Systems
    Devarpita Sinha, Rajarshi Roy
    http://arxiv.org/abs/2001.04218v1

    • [cs.PF]The Two-Pass Softmax Algorithm
    Marat Dukhan, Artsiom Ablavatski
    http://arxiv.org/abs/2001.04438v1

    • [cs.RO]Are you still with me? Continuous Engagement Assessment from a Robot’s Point of View
    Francesco Del Duchetto, Paul Baxter, Marc Hanheide
    http://arxiv.org/abs/2001.03515v2

    • [cs.RO]Deep Learning based Pedestrian Inertial Navigation: Methods, Dataset and On-Device Inference
    Changhao Chen, Peijun Zhao, Chris Xiaoxuan Lu, Wei Wang, Andrew Markham, Niki Trigoni
    http://arxiv.org/abs/2001.04061v1

    • [cs.RO]LESS is More: Rethinking Probabilistic Models of Human Behavior
    Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan
    http://arxiv.org/abs/2001.04465v1

    • [cs.RO]Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot
    Xuan Liu, Renato Gasoto, Cagdas Onal, Jie Fu
    http://arxiv.org/abs/2001.04059v1

    • [cs.RO]Learning to drive via Apprenticeship Learning and Deep Reinforcement Learning
    Wenhui Huang, Francesco Braghin, Zhuo Wang
    http://arxiv.org/abs/2001.03864v1

    • [cs.RO]NimbRo Logistics — Project KittingBot
    Rosche Robin, Minh Triet Chau
    http://arxiv.org/abs/2001.04134v1

    • [cs.RO]When Humans Aren’t Optimal: Robots that Collaborate with Risk-Aware Humans
    Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh
    http://arxiv.org/abs/2001.04377v1

    • [cs.SD]CURE Dataset: Ladder Networks for Audio Event Classification
    Harishchandra Dubey, Dimitra Emmanouilidou, Ivan J. Tashev
    http://arxiv.org/abs/2001.03896v1

    • [cs.SI]A Game Generative Network Framework with its Application to Relationship Inference
    Jie Huang, Fanghua Ye, Xu Chen
    http://arxiv.org/abs/2001.03758v1

    • [cs.SI]LibreSocial: A Peer-to-Peer Framework for Online Social Networks
    Kalman Graffi, Newton Masinde
    http://arxiv.org/abs/2001.02962v2

    • [eess.AS]Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training
    Seung Hee Yang, Minhwa Chung
    http://arxiv.org/abs/2001.04260v1

    • [eess.AS]Visually Guided Self Supervised Learning of Speech Representations
    Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic
    http://arxiv.org/abs/2001.04316v1

    • [eess.IV]Adversarial Loss for Semantic Segmentation of Aerial Imagery
    Clint Sebastian, Raffaele Imbriaco, Egor Bondarev, Peter H. N. de With
    http://arxiv.org/abs/2001.04269v1

    • [eess.IV]AttentionAnatomy: A unified framework for whole-body organs at risk segmentation using multiple partially annotated datasets
    Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie
    http://arxiv.org/abs/2001.04446v1

    • [eess.IV]DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
    Bo Zhou, S. Kevin Zhou
    http://arxiv.org/abs/2001.03799v1

    • [eess.IV]Dynamic Coronary Roadmapping via Catheter Tip Tracking in X-ray Fluoroscopy with Deep Learning Based Bayesian Filtering
    Hua Ma, Ihor Smal, Joost Daemen, Theo van Walsum
    http://arxiv.org/abs/2001.03801v1

    • [eess.IV]Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention
    Xuhua Ren, Jiayu Huo, Kai Xuan, Dongming Wei, Lichi Zhang, Qian Wang
    http://arxiv.org/abs/2001.03857v1

    • [eess.SP]Channel Assignment in Uplink Wireless Communication using Machine Learning Approach
    Guangyu Jia, Zhaohui Yang, Hak-Keung Lam, Jianfeng Shi, Mohammad Shikh-Bahaei
    http://arxiv.org/abs/2001.03952v1

    • [eess.SY]Self-Driving like a Human driver instead of a Robocar: Personalized comfortable driving experience for autonomous vehicles
    I. Bae, J. Moon, J. Jhung, H. Suk, T. Kim, H. Park, J. Cha, J. Kim, D. Kim, Shiho Kim
    http://arxiv.org/abs/2001.03908v1

    • [math.MG]Majorization and minimal energy on spheres
    Oleg R. Musin
    http://arxiv.org/abs/2001.04067v1

    • [math.NA]A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
    Stefania Fresca, Luca Dede, Andrea Manzoni
    http://arxiv.org/abs/2001.04001v1

    • [math.NA]Accelerating Block Coordinate Descent for Nonnegative Tensor Factorization
    Andersen Man Shun Ang, Jeremy E. Cohen, Nicolas Gillis, Le Thi Khanh Hien
    http://arxiv.org/abs/2001.04321v1

    • [math.OC]Dominance Move calculation using a MIP approach for comparison of multi and many-objective optimization solution sets
    Claudio Lucio do Val Lopes, Flávio Vinícius Cruzeiro Martins, Elizabeth Fialho Wanner
    http://arxiv.org/abs/2001.03657v1

    • [math.OC]Information Newton’s flow: second-order optimization method in probability space
    Yifei Wang, Wuchen Li
    http://arxiv.org/abs/2001.04341v1

    • [math.OC]On the synthesis of control policies from noisy example datasets: a probabilistic approach
    Davide Gagliardi, Giovanni Russo
    http://arxiv.org/abs/2001.04428v1

    • [math.ST]Convergence of Chao Unseen Species Estimator
    Nived Rajaraman, Prafulla Chandra, Andrew Thangaraj, Ananda Theertha Suresh
    http://arxiv.org/abs/2001.04130v1

    • [math.ST]Prediction with eventual almost sure guarantees
    Changlong Wu, Narayana Santhanam
    http://arxiv.org/abs/2001.03710v1

    • [math.ST]Trees, forests, and impurity-based variable importance
    Erwan Scornet
    http://arxiv.org/abs/2001.04295v1

    • [quant-ph]Capacity of Quantum Private Information Retrieval with Colluding Servers
    Seunghoan Song, Masahito Hayashi
    http://arxiv.org/abs/2001.04436v1

    • [quant-ph]Derivaton of QUBO formulations for sparse estimation
    Tomohiro Yokota, Makiko Konoshima, Hirotaka Tamura, Jun Ohkubo
    http://arxiv.org/abs/2001.03715v1

    • [quant-ph]Infinite-fold enhancement in communications capacity using pre-shared entanglement
    Saikat Guha, Quntao Zhuang, Boulat Bash
    http://arxiv.org/abs/2001.03934v1

    • [quant-ph]Linear programming bounds for quantum amplitude damping codes
    Yingkai Ouyang, Ching-Yi Lai
    http://arxiv.org/abs/2001.03976v1

    • [stat.AP]Breaking hypothesis testing for failure rates
    Rohit Pandey, Yingnong Dang, Gil Lapid Shafriri, Murali Chintalapati, Aerin Kim
    http://arxiv.org/abs/2001.04045v1

    • [stat.AP]Causal Mediation Analysis with Multiple Treatments and Latent Confounders
    Wei Li, Chunchen Liu, Zhi Geng, John Murray
    http://arxiv.org/abs/2001.04040v1

    • [stat.AP]Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices
    Kjartan Kloster Osmundsen, Tore Selland Kleppe, Roman Liesenfeld, Atle Oglend
    http://arxiv.org/abs/2001.03984v1

    • [stat.AP]Prediction and Evaluation in College Hockey using the Bradley-Terry-Zermelo Model
    John T. Whelan, Adam Wodon
    http://arxiv.org/abs/2001.04226v1

    • [stat.AP]Towards causality-aware predictions in static machine learning tasks: the linear structural causal model case
    Elias Chaibub Neto
    http://arxiv.org/abs/2001.03998v1

    • [stat.CO]Considering discrepancy when calibrating a mechanistic electrophysiology model
    Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker, Yasser Aboelkassem, Kylie A. Beattie, Chris D. Cantwell, Tammo Delhaas, Charles Houston, Gustavo Montes Novaes, Alexander V. Panfilov, Pras Pathmanathan, Marina Riabiz, Rodrigo Weber dos Santos, Keith Worden, Gary R. Mirams, Richard D. Wilkinson
    http://arxiv.org/abs/2001.04230v1

    • [stat.ME]A likelihood analysis of quantile-matching transformations
    Peter McCullagh, Micol Federica Tresoldi
    http://arxiv.org/abs/2001.03709v1

    • [stat.ME]Causal Inferences in Small Area Estimation
    Setareh Ranjbar, Nicola Salvati, Barbara Pacini
    http://arxiv.org/abs/2001.03719v1

    • [stat.ME]Empirical bias-reducing adjustments to estimating functions
    Ioannis Kosmidis, Nicola Lunardon
    http://arxiv.org/abs/2001.03786v1

    • [stat.ME]Forecasting multiple functional time series in a group structure: an application to mortality
    Han Lin Shang, Steven Haberman
    http://arxiv.org/abs/2001.03658v1

    • [stat.ME]Generalized Linear Models for Longitudinal Data with Biased Sampling Designs: A Sequential Offsetted Regressions Approach
    Lee S. McDaniel, Jonathan S. Schildcrout, Enrique F. Schisterman, Paul J. Rathouz
    http://arxiv.org/abs/2001.04444v1

    • [stat.ME]Notes on Exact Power Calculations for t Tests and Analysis of Covariance
    Yongqiang Tang
    http://arxiv.org/abs/2001.04013v1

    • [stat.ME]Panel Data Quantile Regression for Treatment Effect Models
    Takuya Ishihara
    http://arxiv.org/abs/2001.04324v1

    • [stat.ME]Reproducible Bootstrap Aggregating
    Meimei Liu, David B. Dunson
    http://arxiv.org/abs/2001.03988v1

    • [stat.ME]Review of Probability Distributions for Modeling Count Data
    F. William Townes
    http://arxiv.org/abs/2001.04343v1

    • [stat.ME]Robust Two-Step Wavelet-Based Inference for Time Series Models
    Stéphane Guerrier, Roberto Molinari, Maria-Pia Victoria-Feser, Haotian Xu
    http://arxiv.org/abs/2001.04214v1

    • [stat.ML]Bayesian Semi-supervised learning under nonparanormality
    Rui Zhu, Subhashis Ghosal
    http://arxiv.org/abs/2001.03798v1

    • [stat.ML]Multi-Complementary and Unlabeled Learning for Arbitrary Losses and Models
    Yuzhou Cao, Yitian Xu
    http://arxiv.org/abs/2001.04243v1

    • [stat.ML]On Feature Interactions Identified by Shapley Values of Binary Classification Games
    Sandhya Tripathi, N. Hemachandra, Prashant Trivedi
    http://arxiv.org/abs/2001.03956v1

    • [stat.ML]POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning
    Joseph Futoma, Michael C. Hughes, Finale Doshi-Velez
    http://arxiv.org/abs/2001.04032v1