cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.ET - 新兴技术 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.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.PL - 编程语言 cs.RO - 机器人学 cs.SE - 软件工程 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.OC - 优化与控制 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cond-mat.mtrl-sci]Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
    • [cs.AI]A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions
    • [cs.AI]A multi-agent ontologies-based clinical decision support system
    • [cs.AI]AI Trust in business processes: The need for process-aware explanations
    • [cs.AI]Adequate and fair explanations
    • [cs.AI]AutoMATES: Automated Model Assembly from Text, Equations, and Software
    • [cs.AI]Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics
    • [cs.AI]Correcting Knowledge Base Assertions
    • [cs.AI]FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
    • [cs.AI]Implementations in Machine Ethics: A Survey
    • [cs.AI]MOEA/D with Random Partial Update Strategy
    • [cs.AI]On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities
    • [cs.AI]Sampling and Learning for Boolean Function
    • [cs.AI]Stochastic Finite State Control of POMDPs with LTL Specifications
    • [cs.AI]The Incentives that Shape Behaviour
    • [cs.AI]Towards Social Identity in Socio-Cognitive Agents
    • [cs.CL]A Hierarchical Location Normalization System for Text
    • [cs.CL]A Physical Embedding Model for Knowledge Graphs
    • [cs.CL]A multimodal deep learning approach for named entity recognition from social media
    • [cs.CL]Adaptive Parameterization for Neural Dialogue Generation
    • [cs.CL]Audio Summarization with Audio Features and Probability Distribution Divergence
    • [cs.CL]Capturing Evolution in Word Usage: Just Add More Clusters?
    • [cs.CL]Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems
    • [cs.CL]Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference
    • [cs.CL]Fair Transfer of Multiple Style Attributes in Text
    • [cs.CL]From Speech-to-Speech Translation to Automatic Dubbing
    • [cs.CL]Generating Sense Embeddings for Syntactic and Semantic Analogy for Portuguese
    • [cs.CL]Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning
    • [cs.CL]Length-controllable Abstractive Summarization by Guiding with Summary Prototype
    • [cs.CL]Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching
    • [cs.CL]Nested-Wasserstein Self-Imitation Learning for Sequence Generation
    • [cs.CL]Recommending Themes for Ad Creative Design via Visual-Linguistic Representations
    • [cs.CL]Text-based inference of moral sentiment change
    • [cs.CR]BlockHouse: Blockchain-based Distributed Storehouse System
    • [cs.CR]Covert Communication in Continuous-Time Systems
    • [cs.CR]PoAh: A Novel Consensus Algorithm for Fast Scalable Private Blockchain for Large-scale IoT Frameworks
    • [cs.CR]Segment blockchain: A size reduced storage mechanism for blockchain
    • [cs.CV]A Novel Image Dehazing and Assessment Method
    • [cs.CV]A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo vision
    • [cs.CV]Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models
    • [cs.CV]Active and Incremental Learning with Weak Supervision
    • [cs.CV]Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image
    • [cs.CV]An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images
    • [cs.CV]Autocamera Calibration for traffic surveillance cameras with wide angle lenses
    • [cs.CV]BARNet: Bilinear Attention Network with Adaptive Receptive Field for Surgical Instrument Segmentation
    • [cs.CV]Deep Semantic Face Deblurring
    • [cs.CV]Detecting Face2Face Facial Reenactment in Videos
    • [cs.CV]Evaluating Weakly Supervised Object Localization Methods Right
    • [cs.CV]FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing
    • [cs.CV]Face Verification via learning the kernel matrix
    • [cs.CV]From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds
    • [cs.CV]G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data
    • [cs.CV]GTNet: Generative Transfer Network for Zero-Shot Object Detection
    • [cs.CV]Gated Path Selection Network for Semantic Segmentation
    • [cs.CV]Geometric Proxies for Live RGB-D Stream Enhancement and Consolidation
    • [cs.CV]Human-Aware Motion Deblurring
    • [cs.CV]Image denoising via K-SVD with primal-dual active set algorithm
    • [cs.CV]Learning Compositional Neural Information Fusion for Human Parsing
    • [cs.CV]Learning Diverse Features with Part-Level Resolution for Person Re-Identification
    • [cs.CV]MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
    • [cs.CV]MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion
    • [cs.CV]Multiplication fusion of sparse and collaborative-competitive representation for image classification
    • [cs.CV]NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
    • [cs.CV]Neural Style Difference Transfer and Its Application to Font Generation
    • [cs.CV]P$^2$-GAN: Efficient Style Transfer Using Single Style Image
    • [cs.CV]PatchPerPix for Instance Segmentation
    • [cs.CV]Plane Pair Matching for Efficient 3D View Registration
    • [cs.CV]RGB-D Odometry and SLAM
    • [cs.CV]Recovering Geometric Information with Learned Texture Perturbations
    • [cs.CV]SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions
    • [cs.CV]See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
    • [cs.CV]SlideImages: A Dataset for Educational Image Classification
    • [cs.CV]Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification
    • [cs.CV]Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
    • [cs.CV]Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants
    • [cs.CV]Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization
    • [cs.CV]UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision
    • [cs.CV]VMRFANet:View-Specific Multi-Receptive Field Attention Network for Person Re-identification
    • [cs.CV]Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
    • [cs.CV]Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
    • [cs.CV]Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
    • [cs.CY]Activism by the AI Community: Analysing Recent Achievements and Future Prospects
    • [cs.CY]From Pick-Up Artists to Incels: A Data-Driven Sketch of the Manosphere
    • [cs.CY]Predictability limit of partially observed systems
    • [cs.CY]Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board
    • [cs.CY]The Risk to Population Health Equity Posed by Automated Decision Systems: A Narrative Review
    • [cs.CY]Understanding Electricity-Theft Behavior via Multi-Source Data
    • [cs.CY]Why Does Cultural Diversity Foster Technology-enabled Intergenerational Collaboration?
    • [cs.DB]SQLFlow: A Bridge between SQL and Machine Learning
    • [cs.DB]Siamese Graph Neural Networks for Data Integration
    • [cs.DC]2PS: High-Quality Edge Partitioning with Two-Phase Streaming
    • [cs.DC]75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices
    • [cs.DC]A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels
    • [cs.DC]An IoT Platform-as-a-service for NFV Based — Hybrid Cloud / Fog Systems
    • [cs.DC]BAASH: Enabling Blockchain-as-a-Service on High-Performance Computing Systems
    • [cs.DC]Blockchain Consensuses Algorithms: A Survey
    • [cs.DC]Contract-connection:An efficient communication protocol for Distributed Ledger Technology
    • [cs.DC]CycLedger: A Scalable and Secure Parallel Protocol for Distributed Ledger via Sharding
    • [cs.DC]Distributed Vehicular Computing at the Dawn of 5G: a Survey
    • [cs.DC]Lattice QCD on a novel vector architecture
    • [cs.DC]OpenMP Parallelization of Dynamic Programming and Greedy Algorithms
    • [cs.DC]Self Organization Agent Oriented Dynamic Resource Allocation on Open Federated Clouds Environment
    • [cs.DC]Serverless Straggler Mitigation using Local Error-Correcting Codes
    • [cs.DC]The Parallelism Motifs of Genomic Data Analysis
    • [cs.DC]Transparently Capturing Request Execution Path for Anomaly Detection
    • [cs.DL]Measuring Diversity of Artificial Intelligence Conferences
    • [cs.DS]Finding temporal patterns using algebraic fingerprints
    • [cs.DS]High-Quality Hierarchical Process Mapping
    • [cs.DS]Node-charge graph-based online carshare rebalancing with capacitated electric charging
    • [cs.DS]The Power of Pivoting for Exact Clique Counting
    • [cs.ET]Memristor Hardware-Friendly Reinforcement Learning
    • [cs.GT]Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
    • [cs.HC]A Comprehensive Study on Temporal Modeling for Online Action Detection
    • [cs.HC]Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
    • [cs.HC]Designing for the Long Tail of Machine Learning
    • [cs.HC]How do Data Science Workers Collaborate? Roles, Workflows, and Tools
    • [cs.IR]BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction
    • [cs.IR]Common Conversational Community Prototype: Scholarly Conversational Assistant
    • [cs.IR]Hybrid Semantic Recommender System for Chemical Compounds
    • [cs.IR]Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
    • [cs.IR]On the Minimum Achievable Age of Information for General Service-Time Distributions
    • [cs.IR]Quantum-like Structure in Multidimensional Relevance Judgements
    • [cs.IR]Ranking Significant Discrepancies in Clinical Reports
    • [cs.IT]3D Beamforming in Reconfigurable Intelligent Surfaces-assisted Wireless Communication Networks
    • [cs.IT]Bivariate Polynomial Coding for Exploiting Stragglers in Heterogeneous Coded Computing Systems
    • [cs.IT]Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm
    • [cs.IT]Characterization of Conditional Independence and Weak Realizations of Multivariate Gaussian Random Variables: Applications to Networks
    • [cs.IT]Coded Caching with Polynomial Subpacketization
    • [cs.IT]Computational Code-Based Single-Server Private Information Retrieval
    • [cs.IT]Coordinated Multi-Point Transmission: A Poisson-Delaunay Triangulation Based Approach
    • [cs.IT]Efficient Angle-Domain Processing for FDD-based Cell-free Massive MIMO Systems
    • [cs.IT]Enabling Panoramic Full-Angle Reflection via Aerial Intelligent Reflecting Surface
    • [cs.IT]Enabling optimal access and error correction for the repair of Reed-Solomon codes
    • [cs.IT]Non-Orthogonal Multiple Access with Wireless Caching for 5G-Enabled Vehicular Networks
    • [cs.IT]On the Capacity of the Oversampled Wiener Phase Noise Channel
    • [cs.IT]On the Joint Typicality of Permutations of Sequences of Random Variables
    • [cs.IT]Optimal Resource Allocation in Ground Wireless Networks Supporting Unmanned Aerial Vehicle Transmissions
    • [cs.IT]Physical Layer S
    7ab
    ecurity: Authentication, Integrity and Confidentiality
    • [cs.IT]Privacy-Utility Tradeoff in a Guessing Framework Inspired by Index Coding
    • [cs.IT]Pruning Neural Belief Propagation Decoders
    • [cs.IT]Secure Index Coding with Security Constraints on Receivers
    • [cs.IT]Systematic Maximum Sum Rank Codes
    • [cs.IT]The 2-adic complexity of Yu-Gong sequences with interleaved structure and optimal autocorrelation magnitude
    • [cs.IT]Uncertainty of Reconstructing Multiple Messages from Uniform-Tandem-Duplication Noise
    • [cs.LG]A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints
    • [cs.LG]A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
    • [cs.LG]A point-wise linear model reveals reasons for 30-day readmission of heart failure patients
    • [cs.LG]Algebraic and Analytic Approaches for Parameter Learning in Mixture Models
    • [cs.LG]An interpretable neural network model through piecewise linear approximation
    • [cs.LG]Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute
    • [cs.LG]Deceptive AI Explanations: Creation and Detection
    • [cs.LG]Discriminator Soft Actor Critic without Extrinsic Rewards
    • [cs.LG]Distributionally Robust Bayesian Quadrature Optimization
    • [cs.LG]EdgeNets:Edge Varying Graph Neural Networks
    • [cs.LG]Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods
    • [cs.LG]Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
    • [cs.LG]Fast Sequence-Based Embedding with Diffusion Graphs
    • [cs.LG]Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
    • [cs.LG]FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
    • [cs.LG]Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
    • [cs.LG]Generate High-Resolution Adversarial Samples by Identifying Effective Features
    • [cs.LG]Gradient Surgery for Multi-Task Learning
    • [cs.LG]Heterogeneous Transfer Learning in Ensemble Clustering
    • [cs.LG]Infrequent adverse event prediction in low carbon energy production using machine learning
    • [cs.LG]K-NN active learning under local smoothness assumption
    • [cs.LG]Learning Options from Demonstration using Skill Segmentation
    • [cs.LG]Learning to Control PDEs with Differentiable Physics
    • [cs.LG]Learning to See Analogies: A Connectionist Exploration
    • [cs.LG]Memory capacity of neural networks with threshold and ReLU activations
    • [cs.LG]Mixed integer programming formulation of unsupervised learning
    • [cs.LG]Mobility Inference on Long-Tailed Sparse Trajectory
    • [cs.LG]Model Reuse with Reduced Kernel Mean Embedding Specification
    • [cs.LG]Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification
    • [cs.LG]Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
    • [cs.LG]OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
    • [cs.LG]On the infinite width limit of neural networks with a standard parameterization
    • [cs.LG]Projection based Active Gaussian Process Regression for Pareto Front Modeling
    • [cs.LG]R2DE: a NLP approach to estimating IRT parameters of newly generated questions
    • [cs.LG]Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection
    • [cs.LG]Reinforcement Learning with Probabilistically Complete Exploration
    • [cs.LG]SGLB: Stochastic Gradient Langevin Boosting
    • [cs.LG]Simple and Effective Graph Autoencoders with One-Hop Linear Models
    • [cs.LG]Transfer Learning using Neural Ordinary Differential Equations
    • [cs.LG]Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems
    • [cs.LG]Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
    • [cs.LG]Unsupervisedly Learned Representations: Should the Quest be Over?
    • [cs.LG]batchboost: regularization for stabilizing training with resistance to underfitting & overfitting
    • [cs.LO]Dynamic Epistemic Logic Games with Epistemic Temporal Goals
    • [cs.LO]Provenance for the Description Logic ELHr
    • [cs.LO]Turing analogues of Gödel statements and computability of intelligence
    • [cs.NE]DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm
    • [cs.NE]Ensemble Genetic Programming
    • [cs.NE]Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing
    • [cs.NE]Population-based metaheuristics for Association Rule Text Mining
    • [cs.NI]Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Methods
    • [cs.PL]Quantitative Aspects of Programming Languages and Systems over the past $2^4$ years and beyond
    • [cs.RO]A Transfer Learning Approach to Cross-Modal Object Recognition: From Visual Observation to Robotic Haptic Exploration
    • [cs.RO]Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects
    • [cs.RO]Iterator-Based Temporal Logic Task Planning
    • [cs.RO]Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter
    • [cs.RO]Lyceum: An efficient and scalable ecosystem for robot learning
    • [cs.RO]Optimization-Based On-Road Path Planning for Articulated Vehicles
    • [cs.SE]Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
    • [cs.SE]Teaching Software Engineering for AI-Enabled Systems
    • [cs.SI]A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry
    • [cs.SI]Estimating international trade status of countries from global liner shipping networks
    • [cs.SI]Graph Ordering: Towards the Optimal by Learning
    • [cs.SI]Modeling Economic Networks with Firm-to-Firm Wire Transfers
    • [cs.SI]Sampling Graphlets of Multi-layer Networks: A Restricted Random Walk Approach
    • [cs.SI]Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture
    • [cs.SI]Sparse Nonnegative Matrix Factorization for Multiple Local Community Detection
    • [cs.SI]True Nonlinear Dynamics from Incomplete Networks
    • [eess.AS]Pairwise Discriminative Neural PLDA for Speaker Verification
    • [eess.AS]Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300
    • [eess.IV]A deep network for sinogram and CT image reconstruction
    • [eess.IV]An Efficient Framework for Automated Screening of Clinically Significant Macular Edema
    • [eess.IV]Breast lesion segmentation in ultrasound images with limited annotated data
    • [eess.IV]CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance
    • [eess.IV]CNN-based InSAR Coherence Classification
    • [eess.IV]CNN-based InSAR Denoising and Coherence Metric
    • [eess.IV]Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
    • [eess.IV]Learning Deformable Registration of Medical Images with Anatomical Constraints
    • [eess.IV]Machine Learning in Quantitative PET Imaging
    • [eess.IV]Multimodal Deep Unfolding for Guided Image Super-Resolution
    • [eess.IV]SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
    • [eess.IV]Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
    • [eess.SP]Discreteness-aware Receivers for Overloaded MIMO Systems
    • [eess.SP]Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface
    • [eess.SP]Q-ary Multi-Mode OFDM with Index Modulation
    • [eess.SY]Counter-example Guided Learning of Bounds on Environment Behavior
    • [eess.SY]Extent-Compatible Control Barrier Functions
    • [eess.SY]Task-Priority Control of Redundant Robotic Systems using Control Lyapunov and Control Barrier Function based Quadratic Programs
    • [math.OC]Adaptive Stochastic Optimization
    • [math.OC]Dual Stochastic Natural Gradient Descent
    • [math.ST]A General Class of Weighted Rank Correlation Measures
    • [math.ST]Asymptotic normality of a linear threshold estimator in fixed dimension with near-optimal rate
    • [math.ST]Confidence intervals for multiple isotonic regression and other monotone models
    • [math.ST]Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice
    • [math.ST]Generalization Bounds for High-dimensional M-estimation under Sparsity Constraint
    • [math.ST]Invariant density adaptive estimation for ergodic jump diffusion processes over anisotropic classes
    • [math.ST]On Construction of Higher Order Kernels Using Fourier Transforms and Covariance Functions
    • [math.ST]Reconciling the Gaussian and Whittle Likelihood with an application to estimation in the frequency domain
    • [physics.data-an]Variational Dropout Sparsification for Particle Identification speed-up
    • [physics.soc-ph]Random-walk Based Generative Model for Classifying Document Networks
    • [stat.AP]Bayesian Spatial Models for Voxel-wise Prostate Cancer Classification Using Multi-parametric MRI Data
    • [stat.AP]Estimating locomotor demands during team play from broadcast-derived tracking data
    • [stat.AP]Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction
    • [stat.AP]GSSMD: New metric for robust and interpretable assay quality assessment and hit selection
    • [stat.AP]How Fast You Can Actually Fly: A Comparative Investigation of Flight Airborne Time in China and the U.S
    • [stat.AP]Investigation of Patient-sharing Networks Using a Bayesian Network Model Selection Approach for Congruence Class Models
    • [stat.AP]Personality Traits and Drug Consumption. A Story Told by Data
    • [stat.AP]how well can sensitivity and sojourn time be estimated
    • [stat.ME]A Monte Carlo EM Algorithm for the Parameter Estimation of Aggregated Hawkes Processes
    • [stat.ME]Bayesian inference for treatment effects under nested subsets of controls
    • [stat.ME]Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches
    • [stat.ME]Counterexamples to “The Blessings of Multiple Causes” by Wang and Blei
    • [stat.ME]Estimation of Causal Effects of Multiple Treatments in Observational Studies with a Binary Outcome
    • [stat.ME]Flexible models for nonstationary dependence: Methodology and examples
    • [stat.ME]Insight into bias in time-stratified case-crossover studies
    • [stat.ME]Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models
    • [stat.ME]Non-linear Mediation Analysis with High-dimensional Mediators whose Causal Structure is Unknown
    • [stat.ME]Understanding the stochastic partial differential equation approach to smoothing
    • [stat.ML]A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application
    • [stat.ML]Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective
    • [stat.ML]Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives
    • [stat.ML]Efficient Neural Architecture Search: A Broad Version
    • [stat.ML]Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
    • [stat.ML]Explicit agreement extremes for a $2\times2$ table with given marginals
    • [stat.ML]Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification
    • [stat.ML]Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting
    • [stat.ML]TopRank+: A Refinement of TopRank Algorithm

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

    • [cond-mat.mtrl-sci]Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
    Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, Berend Smit
    http://arxiv.org/abs/2001.06728v1

    • [cs.AI]A Survey of Reinforcement Learning Techniques: Strategies, Recent Development, and Future Directions
    Amit Kumar Mondal, Nadeem Jamali
    http://arxiv.org/abs/2001.06921v1

    • [cs.AI]A multi-agent ontologies-based clinical decision support system
    Ying Shen, Jacquet-Andrieu Armelle, Joël Colloc
    http://arxiv.org/abs/2001.07374v1

    • [cs.AI]AI Trust in business processes: The need for process-aware explanations
    Steve T. K. Jan, Vatche Ishakian, Vinod Muthusamy
    http://arxiv.org/abs/2001.07537v1

    • [cs.AI]Adequate and fair explanations
    Nicholas Asher, Soumya Paul, Chris Russell
    http://arxiv.org/abs/2001.07578v1

    • [cs.AI]AutoMATES: Automated Model Assembly from Text, Equations, and Software
    Adarsh Pyarelal, Marco A. Valenzuela-Escarcega, Rebecca Sharp, Paul D. Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison
    http://arxiv.org/abs/2001.07295v1

    • [cs.AI]Combining Federated and Active Learning for Communication-efficient Distributed Failure Prediction in Aeronautics
    Nicolas Aussel, Sophie Chabridon, Yohan Petetin
    http://arxiv.org/abs/2001.07504v1

    • [cs.AI]Correcting Knowledge Base Assertions
    Jiaoyan Chen, Xi Chen, Ian Horrocks, Ernesto Jimenez-Ruiz, Erik B. Myklebus
    http://arxiv.org/abs/2001.06917v1

    • [cs.AI]FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
    Baicen Xiao, Qifan Lu, Bhaskar Ramasubramanian, Andrew Clark, Linda Bushnell, Radha Poovendran
    http://arxiv.org/abs/2001.06781v1

    • [cs.AI]Implementations in Machine Ethics: A Survey
    Suzanne Tolmeijer, Markus Kneer, Cristina Sarasua, Markus Christen, Abraham Bernstein
    http://arxiv.org/abs/2001.07573v1

    • [cs.AI]MOEA/D with Random Partial Update Strategy
    Yuri Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo
    http://arxiv.org/abs/2001.06980v1

    • [cs.AI]On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities
    Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey
    http://arxiv.org/abs/2001.07362v1

    • [cs.AI]Sampling and Learning for Boolean Function
    Chuyu Xiong
    http://arxiv.org/abs/2001.07317v1

    • [cs.AI]Stochastic Finite State Control of POMDPs with LTL Specifications
    Mohamadreza Ahmadi, Rangoli Sharan, Joel W. Burdick
    http://arxiv.org/abs/2001.07679v1

    • [cs.AI]The Incentives that Shape Behaviour
    Ryan Carey, Eric Langlois, Tom Everitt, Shane Legg
    http://arxiv.org/abs/2001.07118v1

    • [cs.AI]Towards Social Identity in Socio-Cognitive Agents
    Diogo Rato, Samuel Mascarenhas, Rui Prada
    http://arxiv.org/abs/2001.07142v1

    • [cs.CL]A Hierarchical Location Normalization System for Text
    Dongyun Liang, Guohua Wang, Jing Nie, Binxu Zhai, Xiusen Gu
    http://arxiv.org/abs/2001.07320v1

    • [cs.CL]A Physical Embedding Model for Knowledge Graphs
    Caglar Demir, Axel-Cyrille Ngonga Ngomo
    http://arxiv.org/abs/2001.07418v1

    • [cs.CL]A multimodal deep learning approach for named entity recognition from social media
    Meysam Asgari-Chenaghlu, M. Reza Feizi-Derakhshi, Leili Farzinvash, Cina Motamed
    http://arxiv.org/abs/2001.06888v1

    • [cs.CL]Adaptive Parameterization for Neural Dialogue Generation
    Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Dawei Yin
    http://arxiv.org/abs/2001.06626v1

    • [cs.CL]Audio Summarization with Audio Features and Probability Distribution Divergence
    Carlos-Emiliano González-Gallardo, Romain Deveaud, Eric SanJuan, Juan-Manuel Torres
    http://arxiv.org/abs/2001.07098v1

    • [cs.CL]Capturing Evolution in Word Usage: Just Add More Clusters?
    Syrielle Montariol, Elaine Zosa, Matej Martinc, Lidia Pivovarova
    http://arxiv.org/abs/2001.06629v1

    • [cs.CL]Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems
    Vevake Balaraman, Bernardo Magnini
    http://arxiv.org/abs/2001.07526v1

    • [cs.CL]Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference
    Timo Schick, Hinrich Schütze
    http://arxiv.org/abs/2001.07676v1

    • [cs.CL]Fair Transfer of Multiple Style Attributes in Text
    Karan Dabas, Nishtha Madan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty
    http://arxiv.org/abs/2001.06693v1

    • [cs.CL]From Speech-to-Speech Translation to Automatic Dubbing
    Marcello Federico, Robert Enyedi, Roberto Barra-Chicote, Ritwik Giri, Umut Isik, Arvindh Krishnaswamy
    http://arxiv.org/abs/2001.06785v1

    • [cs.CL]Generating Sense Embeddings for Syntactic and Semantic Analogy for Portuguese
    Jessica Rodrigues da Silva, Helena de Medeiros Caseli
    http://arxiv.org/abs/2001.07574v1

    • [cs.CL]Improving Interaction Quality Estimation with BiLSTMs and the Impact on Dialogue Policy Learning
    Stefan Ultes
    http://arxiv.org/abs/2001.07615v1

    • [cs.CL]Length-controllable Abstractive Summarization by Guiding with Summary Prototype
    Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Atsushi Otsuka, Hisako Asano, Junji Tomita, Hiroyuki Shindo, Yuji Matsumoto
    http://arxiv.org/abs/2001.07331v1

    • [cs.CL]Multi-level Head-wise Match and Aggregation in Transformer for Textual Sequence Matching
    Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu
    http://arxiv.org/abs/2001.07234v1

    • [cs.CL]Nested-Wasserstein Self-Imitation Learning for Sequence Generation
    Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin
    http://arxiv.org/abs/2001.06944v1

    • [cs.CL]Recommending Themes for Ad Creative Design via Visual-Linguistic Representations
    Yichao Zhou, Shaunak Mishra, Manisha Verma, Narayan Bhamidipati, Wei Wang
    http://arxiv.org/abs/2001.07194v1

    • [cs.CL]Text-based inference of moral sentiment change
    Jing Yi Xie, Renato Ferreira Pinto Jr., Graeme Hirst, Yang Xu
    http://arxiv.org/abs/2001.07209v1

    • [cs.CR]BlockHouse: Blockchain-based Distributed Storehouse System
    Doriane Perard, Lucas Gicquel, Jérôme Lacan
    http://arxiv.org/abs/2001.07016v1

    • [cs.CR]Covert Communication in Continuous-Time Systems
    Ke Li, Don Towsley, Dennis Goeckel
    http://arxiv.org/abs/2001.06932v1

    • [cs.CR]PoAh: A Novel Consensus Algorithm for Fast Scalable Private Blockchain for Large-scale IoT Frameworks
    Deepak Puthal, Saraju P. Mohanty, Venkata P. Yanambaka, Elias Kougianos
    http://arxiv.org/abs/2001.07297v1

    • [cs.CR]Segment blockchain: A size reduced storage mechanism for blockchain
    Yibin Xu, Yangyu Huang
    http://arxiv.org/abs/2001.07023v1

    • [cs.CV]A Novel Image Dehazing and Assessment Method
    Saad Bin Sami, Abdul Muqeet, Humera Tariq
    http://arxiv.org/abs/2001.06963v1

    • [cs.CV]A hybrid algorithm for disparity calculation from sparse disparity estimates based on stereo vision
    Subhayan Mukherjee, Ram Mohana Reddy Guddeti
    http://arxiv.org/abs/2001.06967v1

    • [cs.CV]Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models
    Moshiur R. Farazi, Salman H. Khan, Nick Barnes
    http://arxiv.org/abs/2001.07059v1

    • [cs.CV]Active and Incremental Learning with Weak Supervision
    Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
    http://arxiv.org/abs/2001.07100v1

    • [cs.CV]Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image
    Subhayan Mukherjee, Guan-Ming Su, Irene Cheng
    http://arxiv.org/abs/2001.06983v1

    • [cs.CV]An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images
    Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
    http://arxiv.org/abs/2001.07434v1

    • [cs.CV]Autocamera Calibration for traffic surveillance cameras with wide angle lenses
    Aman Gajendra Jain, Nicolas Saunier
    http://arxiv.org/abs/2001.07243v1

    • [cs.CV]BARNet: Bilinear Attention Network with Adaptive Receptive Field for Surgical Instrument Segmentation
    Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang
    http://arxiv.org/abs/2001.07093v1

    • [cs.CV]Deep Semantic Face Deblurring
    Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang
    http://arxiv.org/abs/2001.06822v1

    • [cs.CV]Detecting Face2Face Facial Reenactment in Videos
    Prabhat Kumar, Mayank Vatsa, Richa Singh
    http://arxiv.org/abs/2001.07444v1

    • [cs.CV]Evaluating Weakly Supervised Object Localization Methods Right
    Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
    http://arxiv.org/abs/2001.07437v1

    • [cs.CV]FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing
    Yu Dong, Yihao Liu, He Zhang, Shifeng Chen, Yu Qiao
    http://arxiv.org/abs/2001.06968v1

    • [cs.CV]Face Verification via learning the kernel matrix
    Ning Yuan, Xiao-Jun Wu, He-Feng Yin
    http://arxiv.org/abs/2001.07323v1

    • [cs.CV]From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds
    Christiane Sommer, Yumin Sun, Leonidas Guibas, Daniel Cremers, Tolga Birdal
    http://arxiv.org/abs/2001.07360v1

    • [cs.CV]G2MF-WA: Geometric Multi-Model Fitting with Weakly Annotated Data
    Chao Zhang, Xuequan Lu, Katsuya Hotta, Xi Yang
    http://arxiv.org/abs/2001.06965v1

    • [cs.CV]GTNet: Generative Transfer Network for Zero-Shot Object Detection
    Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang
    http://arxiv.org/abs/2001.06812v1

    • [cs.CV]Gated Path Selection Network for Semantic Segmentation
    Qichuan Geng, Hong Zhang, Xiaojuan Qi, Ruigang Yang, Zhong Zhou, Gao Huang
    http://arxiv.org/abs/2001.06819v1

    • [cs.CV]Geometric Proxies for Live RGB-D Stream Enhancement and Consolidation
    Adrien Kaiser, José Alonso Ybanez Zepeda, Tamy Boubekeur
    http://arxiv.org/abs/2001.07577v1

    • [cs.CV]Human-Aware Motion Deblurring
    Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao
    http://arxiv.org/abs/2001.06816v1

    • [cs.CV]Image denoising via K-SVD with primal-dual active set algorithm
    Quan Xiao, Canhong Wen, Zirui Yan
    http://arxiv.org/abs/2001.06780v1

    • [cs.CV]Learning Compositional Neural Information Fusion for Human Parsing
    Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang, Ling Shao
    http://arxiv.org/abs/2001.06804v1

    • [cs.CV]Learning Diverse Features with Part-Level Resolution for Person Re-Identification
    Ben Xie, Xiaofu Wu, Suofei Zhang, Shiliang Zhao, Ming Li
    http://arxiv.org/abs/2001.07442v1

    • [cs.CV]MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
    Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
    http://arxiv.org/abs/2001.06902v1

    • [cs.CV]MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion
    Kaiyu Shan, Yongtao Wang, Zhuoying Wang, Tingting Liang, Zhi Tang, Ying Chen, Yangyan Li
    http://arxiv.org/abs/2001.06769v1

    • [cs.CV]Multiplication fusion of sparse and collaborative-competitive representation for image classification
    Zi-Qi Li, Jun Sun, Xiao-Jun Wu, He-Feng Yin
    http://arxiv.org/abs/2001.07090v1

    • [cs.CV]NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
    Yazhao Li, Yanwei Pang, Jianbing Shen, Jiale Cao, Ling Shao
    http://arxiv.org/abs/2001.06690v1

    • [cs.CV]Neural Style Difference Transfer and Its Application to Font Generation
    Gantugs Atarsaikhan, Brian Kenji Iwana, Seiichi Uchida
    http://arxiv.org/abs/2001.07321v1

    • [cs.CV]P$^2$-GAN: Efficient Style Transfer Using Single Style Image
    Zhentan Zheng, Jianyi Liu
    http://arxiv.org/abs/2001.07466v1

    • [cs.CV]PatchPerPix for Instance Segmentation
    Peter Hirsch, Lisa Mais, Dagmar Kainmueller
    http://arxiv.org/abs/2001.07626v1

    • [cs.CV]Plane Pair Matching for Efficient 3D View Registration
    Adrien Kaiser, José Alonso Ybanez Zepeda, Tamy Boubekeur
    http://arxiv.org/abs/2001.07058v1

    • [cs.CV]RGB-D Odometry and SLAM
    Javier Civera, Seong Hun Lee
    http://arxiv.org/abs/2001.06875v1

    • [cs.CV]Recovering Geometric Information with Learned Texture Perturbations
    Jane Wu, Yongxu Jin, Zhenglin Geng, Hui Zhou, Ronald Fedkiw
    http://arxiv.org/abs/2001.07253v1

    • [cs.CV]SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions
    Ramprasaath R. Selvaraju, Purva Tendulkar, Devi Parikh, Eric Horvitz, Marco Ribeiro, Besmira Nushi, Ece Kamar
    http://arxiv.org/abs/2001.06927v1

    • [cs.CV]See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
    Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli
    http://arxiv.org/abs/2001.06810v1

    • [cs.CV]SlideImages: A Dataset for Educational Image Classification
    David Morris, Eric Müller-Budack, Ralph Ewerth
    http://arxiv.org/abs/2001.06823v1

    • [cs.CV]Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification
    Tinghuai Wang, Guangming Wang, Kuan Eeik Tan, Donghui Tan
    http://arxiv.org/abs/2001.07108v1

    • [cs.CV]Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
    Anubha Pandey, Ashish Mishra, Vinay Kumar Verma, Anurag Mittal, Hema A. Murthy
    http://arxiv.org/abs/2001.06657v1

    • [cs.CV]Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants
    Hui Zhu, Zhulin An, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu
    http://arxiv.org/abs/2001.06774v1

    • [cs.CV]Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization
    Junjie Yan, Ruosi Wan, Xiangyu Zhang, Wei Zhang, Yichen Wei, Jian Sun
    http://arxiv.org/abs/2001.06838v1

    • [cs.CV]UR2KiD: Unifying Retrieval, Keypoint Detection, and Keypoint Description without Local Correspondence Supervision
    Tsun-Yi Yang, Duy-Kien Nguyen, Huub Heijnen, Vassileios Balntas
    http://arxiv.org/abs/2001.07252v1

    • [cs.CV]VMRFANet:View-Specific Multi-Receptive Field Attention Network for Person Re-identification
    Honglong Cai, Yuedong Fang, Zhiguan Wang, Tingchun Yeh, Jinxing Cheng
    http://arxiv.org/abs/2001.07354v1

    • [cs.CV]Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
    Zhu Zhang, Zhou Zhao, Yang Zhao, Qi Wang, Huasheng Liu, Lianli Gao
    http://arxiv.org/abs/2001.06891v1

    • [cs.CV]Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
    Chunle Guo, Chongyi Li, Jichang Guo, Chen Change Loy, Junhui Hou, Sam Kwong, Runmin Cong
    http://arxiv.org/abs/2001.06826v1

    • [cs.CV]Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
    Wenguan Wang, Xiankai Lu, Jianbing Shen, David Crandall, Ling Shao
    http://arxiv.org/abs/2001.06807v1

    • [cs.CY]Activism by the AI Community: Analysing Recent Achievements and Future Prospects
    Haydn Belfield
    http://arxiv.org/abs/2001.06528v1

    • [cs.CY]From Pick-Up Artists to Incels: A Data-Driven Sketch of the Manosphere
    Manoel Horta Ribeiro, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini, Summer Long, Stephanie Greenberg, Savvas Zannettou
    http://arxiv.org/abs/2001.07600v1

    • [cs.CY]Predictability limit of partially observed systems
    Andrés Abeliuk, Zhishen Huang, Emilio Ferrara, Kristina Lerman
    http://arxiv.org/abs/2001.06547v1

    • [cs.CY]Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board
    Antonis Papasavva, Savvas Zannettou, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn
    http://arxiv.org/abs/2001.07487v1

    • [cs.CY]The Risk to Population Health Equity Posed by Automated Decision Systems: A Narrative Review
    Mitchell Burger
    http://arxiv.org/abs/2001.06615v1

    • [cs.CY]Understanding Electricity-Theft Behavior via Multi-Source Data
    Wenjie Hu, Yang Yang, Jianbo Wang, Xuanwen Huang, Ziqiang Cheng
    http://arxiv.org/abs/2001.07311v1

    • [cs.CY]Why Does Cultural Diversity Foster Technology-enabled Intergenerational Collaboration?
    Irawan Nurhas, Bayu Rima Aditya, Stefan Geisler, Jan Pawlowski
    http://arxiv.org/abs/2001.07630v1

    • [cs.DB]SQLFlow: A Bridge between SQL and Machine Learning
    Yi Wang, Yang Yang, Weiguo Zhu, Yi Wu, Xu Yan, Yongfeng Liu, Yu Wang, Liang Xie, Ziyao Gao, Wenjing Zhu, Xiang Chen, Wei Yan, Mingjie Tang, Yuan Tang
    http://arxiv.org/abs/2001.06846v1

    • [cs.DB]Siamese Graph Neural Networks for Data Integration
    Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Fabio Casati
    http://arxiv.org/abs/2001.06543v1

    • [cs.DC]2PS: High-Quality Edge Partitioning with Two-Phase Streaming
    Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen
    http://arxiv.org/abs/2001.07086v1

    • [cs.DC]75,000,000,000 Streaming Inserts/Second Using Hierarchical Hypersparse GraphBLAS Matrices
    Jeremy Kepner, Tim Davis, Chansup Byun, William Arcand, David Bestor, William Bergeron, Vijay Gadepally, Matthew Hubbell, Michael Houle, Michael Jones, Anna Klein, Peter Michaleas, Lauren Milechin, Julie Mullen, Andrew Prout, Antonio Rosa, Siddharth Samsi, Charles Yee, Albert Reuther
    http://arxiv.org/abs/2001.06935v1

    • [cs.DC]A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels
    Lorenz Braun, Sotirios Nikas, Chen Song, Vincent Heuveline, Holger Fröning
    http://arxiv.org/abs/2001.07104v1

    • [cs.DC]An IoT Platform-as-a-service for NFV Based — Hybrid Cloud / Fog Systems
    Carla Mouradian, Fereshteh Ebrahimnezhad, Yassine Jebbar, Jasmeen Kaur Ahluwalia, Seyedeh Negar Afrasiabi, Roch H. Glitho, Ashok Moghe
    http://arxiv.org/abs/2001.07497v1

    • [cs.DC]BAASH: Enabling Blockchain-as-a-Service on High-Performance Computing Systems
    Abdullah Al-Mamun, Dongfang Zhao
    http://arxiv.org/abs/2001.07022v1

    • [cs.DC]Blockchain Consensuses Algorithms: A Survey
    Md Sadek Ferdous, Mohammad Jabed Morshed Chowdhury, Mohammad A. Hoque, Alan Colman
    http://arxiv.org/abs/2001.07091v1

    • [cs.DC]Contract-connection:An efficient communication protocol for Distributed Ledger Technology
    Yibin Xu, Yangyu Huang
    http://arxiv.org/abs/2001.07000v1

    • [cs.DC]CycLedger: A Scalable and Secure Parallel Protocol for Distributed Ledger via Sharding
    Mengqian Zhang, Jichen Li, Zhaohua Chen, Hongyin Chen, Xiaotie Deng
    http://arxiv.org/abs/2001.06778v1

    • [cs.DC]Distributed Vehicular Computing at the Dawn of 5G: a Survey
    Ahmad Alhilal, Tristan Braud, Pan Hui
    http://arxiv.org/abs/2001.07077v1

    • [cs.DC]Lattice QCD on a novel vector architecture
    Benjamin Huth, Nils Meyer, Tilo Wettig
    http://arxiv.org/abs/2001.07557v1

    • [cs.DC]OpenMP Parallelization of Dynamic Programming and Greedy Algorithms
    Claude Tadonki
    http://arxiv.org/abs/2001.07103v1

    • [cs.DC]Self Organization Agent Oriented Dynamic Resource Allocation on Open Federated Clouds Environment
    Kemchi Sofiane, Abdelhafid Zitouni, Mahieddine Djoudi
    http://arxiv.org/abs/2001.07496v1

    • [cs.DC]Serverless Straggler Mitigation using Local Error-Correcting Codes
    Vipul Gupta, Dominic Carrano, Yaoqing Yang, Vaishaal Shankar, Thomas Courtade, Kannan Ramchandran
    http://arxiv.org/abs/2001.07490v1

    • [cs.DC]The Parallelism Motifs of Genomic Data Analysis
    Katherine Yelick, Aydin Buluc, Muaaz Awan, Ariful Azad, Benjamin Brock, Rob Egan, Saliya Ekanayake, Marquita Ellis, Evangelos Georganas, Giulia Guidi, Steven Hofmeyr, Oguz Selvitopi, Cristina Teodoropol, Leonid Oliker
    http://arxiv.org/abs/2001.06989v1

    • [cs.DC]Transparently Capturing Request Execution Path for Anomaly Detection
    Yong Yang, Long Wang, Jing Gu, Ying Li
    http://arxiv.org/abs/2001.07276v1

    • [cs.DL]Measuring Diversity of Artificial Intelligence Conferences
    Ana Freire, Lorenzo Porcaro, Emilia Gómez
    http://arxiv.org/abs/2001.07038v1

    • [cs.DS]Finding temporal patterns using algebraic fingerprints
    Suhas Thejaswi, Aristides Gionis
    http://arxiv.org/abs/2001.07158v1

    • [cs.DS]High-Quality Hierarchical Process Mapping
    Marcelo Fonseca Faraj, Alexander van der Grinten, Henning Meyerhenke, Jesper Larsson Träff, Christian Schulz
    http://arxiv.org/abs/2001.07134v1

    • [cs.DS]Node-charge graph-based online carshare rebalancing with capacitated electric charging
    Theodoros Pantelidis, Li Li, Tai-Yu Ma, Joseph Y. J. Chow, Saif E. Jabari
    http://arxiv.org/abs/2001.07282v1

    • [cs.DS]The Power of Pivoting for Exact Clique Counting
    Shweta Jain, C. Seshadhri
    http://arxiv.org/abs/2001.06784v1

    • [cs.ET]Memristor Hardware-Friendly Reinforcement Learning
    Nan Wu, Adrien Vincent, Dmitri Strukov, Yuan Xie
    http://arxiv.org/abs/2001.06930v1

    • [cs.GT]Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
    Yunlong Lu, Kai Yan
    http://arxiv.org/abs/2001.06487v1

    • [cs.HC]A Comprehensive Study on Temporal Modeling for Online Action Detection
    Wen Wang, Xiaojiang Peng, Yu Qiao, Jian Cheng
    http://arxiv.org/abs/2001.07501v1

    • [cs.HC]Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
    Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu
    http://arxiv.org/abs/2001.07416v1

    • [cs.HC]Designing for the Long Tail of Machine Learning
    Martin Lindvall, Jesper Molin
    http://arxiv.org/abs/2001.07455v1

    • [cs.HC]How do Data Science Workers Collaborate? Roles, Workflows, and Tools
    Amy X. Zhang, Michael Muller, Dakuo Wang
    http://arxiv.org/abs/2001.06684v1

    • [cs.IR]BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction
    Diana Sousa, Francisco M. Couto
    http://arxiv.org/abs/2001.07139v1

    • [cs.IR]Common Conversational Community Prototype: Scholarly Conversational Assistant
    Krisztian Balog, Lucie Flekova, Matthias Hagen, Rosie Jones, Martin Potthast, Filip Radlinski, Mark Sanderson, Svitlana Vakulenko, Hamed Zamani
    http://arxiv.org/abs/2001.06910v1

    • [cs.IR]Hybrid Semantic Recommender System for Chemical Compounds
    Marcia Barros, André Moitinho, Francisco M. Couto
    http://arxiv.org/abs/2001.07440v1

    • [cs.IR]Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation
    Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
    http://arxiv.org/abs/2001.06765v1

    • [cs.IR]On the Minimum Achievable Age of Information for General Service-Time Distributions
    Jaya Prakash Champati, Ramana R. Avula, Tobias J. Oechtering, James Gross
    http://arxiv.org/abs/2001.06831v1

    • [cs.IR]Quantum-like Structure in Multidimensional Relevance Judgements
    Sagar Uprety, Prayag Tiwari, Shahram Dehdashti, Lauren Fell, Dawei Song, Peter Bruza, Massimo Melucci
    http://arxiv.org/abs/2001.07075v1

    • [cs.IR]Ranking Significant Discrepancies in Clinical Reports
    Sean MacAvaney, Arman Cohan, Nazli Goharian, Ross Filice
    http://arxiv.org/abs/2001.06674v1

    • [cs.IT]3D Beamforming in Reconfigurable Intelligent Surfaces-assisted Wireless Communication Networks
    S. Mohammad Razavizadeh, Tommy Svensson
    http://arxiv.org/abs/2001.06653v1

    • [cs.IT]Bivariate Polynomial Coding for Exploiting Stragglers in Heterogeneous Coded Computing Systems
    Burak Hasircioglu, Jesus Gomez-Vilardebo, Deniz Gunduz
    http://arxiv.org/abs/2001.07227v1

    • [cs.IT]Caching at Base Stations with Multi-Cluster Multicast Wireless Backhaul via Accelerated First-Order Algorithm
    Yang Li, Minghua Xia, Yik-Chung Wu
    http://arxiv.org/abs/2001.07622v1

    • [cs.IT]Characterization of Conditional Independence and Weak Realizations of Multivariate Gaussian Random Variables: Applications to Networks
    Charalambos D. Charalambous, Jan H. van Schuppen
    http://arxiv.org/abs/2001.06824v1

    • [cs.IT]Coded Caching with Polynomial Subpacketization
    Wentu Song, Kui Cai, Long Shi
    http://arxiv.org/abs/2001.07020v1

    • [cs.IT]Computational Code-Based Single-Server Private Information Retrieval
    Lukas Holzbaur, Camilla Hollanti, Antonia Wachter-Zeh
    http://arxiv.org/abs/2001.07049v1

    • [cs.IT]Coordinated Multi-Point Transmission: A Poisson-Delaunay Triangulation Based Approach
    Yan Li, Minghua Xia, Sonia Aïssa
    http://arxiv.org/abs/2001.07363v1

    • [cs.IT]Efficient Angle-Domain Processing for FDD-based Cell-free Massive MIMO Systems
    Asmaa Abdallah, Mohammad M. Mansour
    http://arxiv.org/abs/2001.07438v1

    • [cs.IT]Enabling Panoramic Full-Angle Reflection via Aerial Intelligent Reflecting Surface
    Haiquan Lu, Yong Zeng, Shi Jin, Rui Zhang
    http://arxiv.org/abs/2001.07339v1

    • [cs.IT]Enabling optimal access and error correction for the repair of Reed-Solomon codes
    Zitan Chen, Min Ye, Alexander Barg
    http://arxiv.org/abs/2001.07189v1

    • [cs.IT]Non-Orthogonal Multiple Access with Wireless Caching for 5G-Enabled Vehicular Networks
    Sanjeev Gurugopinath, Sami Muhaidat, Yousof Al-Hammadi, Paschalis C. Sofotasios, Octavia A. Dobre
    http://arxiv.org/abs/2001.06959v1

    • [cs.IT]On the Capacity of the Oversampled Wiener Phase Noise Channel
    Luca Barletta, Stefano Rini
    http://arxiv.org/abs/2001.07485v1

    • [cs.IT]On the Joint Typicality of Permutations of Sequences of Random Variables
    Farhad Shirani, Siddharth Garg, Elza Erkip
    http://arxiv.org/abs/2001.06962v1

    • [cs.IT]Optimal Resource Allocation in Ground Wireless Networks Supporting Unmanned Aerial Vehicle Transmissions
    Yulin Hu, Guodong Sun, Guohua Zhang, M. Cenk Gursoy, Anke Schmeink
    http://arxiv.org/abs/2001.06850v1

    • [cs.IT]Physical Layer S
    7ab
    ecurity: Authentication, Integrity and Confidentiality
    Mahdi Shakiba-Herfeh, Arsenia Chorti, H. Vince Poor
    http://arxiv.org/abs/2001.07153v1

    • [cs.IT]Privacy-Utility Tradeoff in a Guessing Framework Inspired by Index Coding
    Yucheng Liu, Ni Ding, Parastoo Sadeghi, Thierry Rakotoarivelo
    http://arxiv.org/abs/2001.06828v1

    • [cs.IT]Pruning Neural Belief Propagation Decoders
    Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
    http://arxiv.org/abs/2001.07464v1

    • [cs.IT]Secure Index Coding with Security Constraints on Receivers
    Yucheng Liu, Parastoo Sadeghi, Neda Aboutorab, Arman Sharififar
    http://arxiv.org/abs/2001.07296v1

    • [cs.IT]Systematic Maximum Sum Rank Codes
    Paulo Almeida, Umberto Martínez-Penas, Diego Napp
    http://arxiv.org/abs/2001.07198v1

    • [cs.IT]The 2-adic complexity of Yu-Gong sequences with interleaved structure and optimal autocorrelation magnitude
    Yuhua Sun, Tongjiang Yan
    http://arxiv.org/abs/2001.07393v1

    • [cs.IT]Uncertainty of Reconstructing Multiple Messages from Uniform-Tandem-Duplication Noise
    Yonatan Yehezkeally, Moshe Schwartz
    http://arxiv.org/abs/2001.07047v1

    • [cs.LG]A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints
    Marek Śmieja, Łukasz Struski, Mário A. T. Figueiredo
    http://arxiv.org/abs/2001.06720v1

    • [cs.LG]A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
    Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye
    http://arxiv.org/abs/2001.06937v1

    • [cs.LG]A point-wise linear model reveals reasons for 30-day readmission of heart failure patients
    Yasuho Yamashita, Takuma Shibahara, Junichi Kuwata
    http://arxiv.org/abs/2001.06988v1

    • [cs.LG]Algebraic and Analytic Approaches for Parameter Learning in Mixture Models
    Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
    http://arxiv.org/abs/2001.06776v1

    • [cs.LG]An interpretable neural network model through piecewise linear approximation
    Mengzhuo Guo, Qingpeng Zhang, Xiuwu Liao, Daniel Dajun Zeng
    http://arxiv.org/abs/2001.07119v1

    • [cs.LG]Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute
    Tiphaine Viard, Thomas McLachlan, Hamidreza Ghader, Satoshi Sekine
    http://arxiv.org/abs/2001.07558v1

    • [cs.LG]Deceptive AI Explanations: Creation and Detection
    Johannes Schneider, Joshua Handali, Michalis Vlachos, Christian Meske
    http://arxiv.org/abs/2001.07641v1

    • [cs.LG]Discriminator Soft Actor Critic without Extrinsic Rewards
    Daichi Nishio, 271
    Daiki Kuyoshi, Toi Tsuneda, Satoshi Yamane
    http://arxiv.org/abs/2001.06808v1

    • [cs.LG]Distributionally Robust Bayesian Quadrature Optimization
    Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh
    http://arxiv.org/abs/2001.06814v1

    • [cs.LG]EdgeNets:Edge Varying Graph Neural Networks
    Elvin Isufi, Fernando Gama, Alejandro Ribeiro
    http://arxiv.org/abs/2001.07620v1

    • [cs.LG]Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods
    Juan Vargas, Lazar Andjelic, Amir Barati Farimani
    http://arxiv.org/abs/2001.06725v1

    • [cs.LG]Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach
    Carlos Fernandez, Foster Provost, Xintian Han
    http://arxiv.org/abs/2001.07417v1

    • [cs.LG]Fast Sequence-Based Embedding with Diffusion Graphs
    Benedek Rozemberczki, Rik Sarkar
    http://arxiv.org/abs/2001.07463v1

    • [cs.LG]Finding the Sparsest Vectors in a Subspace: Theory, Algorithms, and Applications
    Qing Qu, Zhihui Zhu, Xiao Li, Manolis C. Tsakiris, John Wright, René Vidal
    http://arxiv.org/abs/2001.06970v1

    • [cs.LG]FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
    Kihyuk Sohn, David Berthelot, Chun-Liang Li, Zizhao Zhang, Nicholas Carlini, Ekin D. Cubuk, Alex Kurakin, Han Zhang, Colin Raffel
    http://arxiv.org/abs/2001.07685v1

    • [cs.LG]Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects
    Fredrik D. Johansson, Uri Shalit, Nathan Kallus, David Sontag
    http://arxiv.org/abs/2001.07426v1

    • [cs.LG]Generate High-Resolution Adversarial Samples by Identifying Effective Features
    Sizhe Chen, Peidong Zhang, Chengjin Sun, Jia Cai, Xiaolin Huang
    http://arxiv.org/abs/2001.07631v1

    • [cs.LG]Gradient Surgery for Multi-Task Learning
    Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn
    http://arxiv.org/abs/2001.06782v1

    • [cs.LG]Heterogeneous Transfer Learning in Ensemble Clustering
    Vladimir Berikov
    http://arxiv.org/abs/2001.07155v1

    • [cs.LG]Infrequent adverse event prediction in low carbon energy production using machine learning
    Stefano Coniglio, Anthony J. Dunn, Alain B. Zemkoho
    http://arxiv.org/abs/2001.06916v1

    • [cs.LG]K-NN active learning under local smoothness assumption
    Boris Ndjia Njike, Xavier Siebert
    http://arxiv.org/abs/2001.06485v1

    • [cs.LG]Learning Options from Demonstration using Skill Segmentation
    Matthew Cockcroft, Shahil Mawjee, Steven James, Pravesh Ranchod
    http://arxiv.org/abs/2001.06793v1

    • [cs.LG]Learning to Control PDEs with Differentiable Physics
    Philipp Holl, Vladlen Koltun, Nils Thuerey
    http://arxiv.org/abs/2001.07457v1

    • [cs.LG]Learning to See Analogies: A Connectionist Exploration
    Douglas S. Blank
    http://arxiv.org/abs/2001.06668v1

    • [cs.LG]Memory capacity of neural networks with threshold and ReLU activations
    Roman Vershynin
    http://arxiv.org/abs/2001.06938v1

    • [cs.LG]Mixed integer programming formulation of unsupervised learning
    Arturo Berrones-Santos
    http://arxiv.org/abs/2001.07278v1

    • [cs.LG]Mobility Inference on Long-Tailed Sparse Trajectory
    Lei Shi
    http://arxiv.org/abs/2001.07636v1

    • [cs.LG]Model Reuse with Reduced Kernel Mean Embedding Specification
    Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou
    http://arxiv.org/abs/2001.07135v1

    • [cs.LG]Motif Difference Field: A Simple and Effective Image Representation of Time Series for Classification
    Yadong Zhang, Xin Chen
    http://arxiv.org/abs/2001.07582v1

    • [cs.LG]Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
    Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton de Ruiter, Jonathan P. How
    http://arxiv.org/abs/2001.06627v1

    • [cs.LG]OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
    Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler
    http://arxiv.org/abs/2001.06640v1

    • [cs.LG]On the infinite width limit of neural networks with a standard parameterization
    Jascha Sohl-Dickstein, Roman Novak, Samuel S. Schoenholz, Jaehoon Lee
    http://arxiv.org/abs/2001.07301v1

    • [cs.LG]Projection based Active Gaussian Process Regression for Pareto Front Modeling
    Zhengqi Gao, Jun Tao, Yangfeng Su, Dian Zhou, Xuan Zeng
    http://arxiv.org/abs/2001.07072v1

    • [cs.LG]R2DE: a NLP approach to estimating IRT parameters of newly generated questions
    Luca Benedetto, Andrea Cappelli, Roberto Turrin, Paolo Cremonesi
    http://arxiv.org/abs/2001.07569v1

    • [cs.LG]Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection
    Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
    http://arxiv.org/abs/2001.06591v1

    • [cs.LG]Reinforcement Learning with Probabilistically Complete Exploration
    Philippe Morere, Gilad Francis, Tom Blau, Fabio Ramos
    http://arxiv.org/abs/2001.06940v1

    • [cs.LG]SGLB: Stochastic Gradient Langevin Boosting
    Aleksei Ustimenko, Liudmila Prokhorenkova
    http://arxiv.org/abs/2001.07248v1

    • [cs.LG]Simple and Effective Graph Autoencoders with One-Hop Linear Models
    Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis
    http://arxiv.org/abs/2001.07614v1

    • [cs.LG]Transfer Learning using Neural Ordinary Differential Equations
    Rajath S, Sumukh Aithal K, Natarajan Subramanyam
    http://arxiv.org/abs/2001.07342v1

    • [cs.LG]Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems
    Jaimie Drozdal, Justin Weisz, Dakuo Wang, Gaurav Dass, Bingsheng Yao, Changruo Zhao, Michael Muller, Lin Ju, Hui Su
    http://arxiv.org/abs/2001.06509v1

    • [cs.LG]Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
    Jinlong Liu, Guoqing Jiang, Yunzhi Bai, Ting Chen, Huayan Wang
    http://arxiv.org/abs/2001.07384v1

    • [cs.LG]Unsupervisedly Learned Representations: Should the Quest be Over?
    Daniel N. Nissani
    http://arxiv.org/abs/2001.07495v1

    • [cs.LG]batchboost: regularization for stabilizing training with resistance to underfitting & overfitting
    Maciej A. Czyzewski
    http://arxiv.org/abs/2001.07627v1

    • [cs.LO]Dynamic Epistemic Logic Games with Epistemic Temporal Goals
    Bastien Maubert, Aniello Murano, Sophie Pinchinat, François Schwarzentruber, Silvia Stranieri
    http://arxiv.org/abs/2001.07141v1

    • [cs.LO]Provenance for the Description Logic ELHr
    Camille Bourgaux, Ana Ozaki, Rafael Peñaloza, Livia Predoiu
    http://arxiv.org/abs/2001.07541v1

    • [cs.LO]Turing analogues of Gödel statements and computability of intelligence
    Yasha Savelyev
    http://arxiv.org/abs/2001.07592v1

    • [cs.NE]DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm
    Hao Xu, Haibin Chang, Dongxiao Zhang
    http://arxiv.org/abs/2001.07305v1

    • [cs.NE]Ensemble Genetic Programming
    Nuno M. Rodrigues, João E. Batista, Sara Silva
    http://arxiv.org/abs/2001.07553v1

    • [cs.NE]Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing
    Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu
    http://arxiv.org/abs/2001.06585v1

    • [cs.NE]Population-based metaheuristics for Association Rule Text Mining
    Iztok Fister Jr., Suash Deb, Iztok Fister
    http://arxiv.org/abs/2001.06517v1

    • [cs.NI]Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Methods
    Qi Zhou, Jingjie Zhu, Junwen Zhang, Zhensheng Jia, Bernardo Huberman, Gee-Kung Chang
    http://arxiv.org/abs/2001.07698v1

    • [cs.PL]Quantitative Aspects of Programming Languages and Systems over the past $2^4$ years and beyond
    Alessandro Aldini
    http://arxiv.org/abs/2001.06942v1

    • [cs.RO]A Transfer Learning Approach to Cross-Modal Object Recognition: From Visual Observation to Robotic Haptic Exploration
    Pietro Falco, Shuang Lu, Ciro Natale, Salvatore Pirozzi, Dongheui Lee
    http://arxiv.org/abs/2001.06673v1

    • [cs.RO]Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects
    Kentaro Wada, Shingo Kitagawa, Kei Okada, Masayuki Inaba
    http://arxiv.org/abs/2001.07475v1

    • [cs.RO]Iterator-Based Temporal Logic Task Planning
    Sebastián Zudaire, Martín Garrett, Sebastián Uchitel
    http://arxiv.org/abs/2001.07678v1

    • [cs.RO]Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter
    Kentaro Wada, Kei Okada, Masayuki Inaba
    http://arxiv.org/abs/2001.07481v1

    • [cs.RO]Lyceum: An efficient and scalable ecosystem for robot learning
    Colin Summers, Kendall Lowrey, Aravind Rajeswaran, Siddhartha Srinivasa, Emanuel Todorov
    http://arxiv.org/abs/2001.07343v1

    • [cs.RO]Optimization-Based On-Road Path Planning for Articulated Vehicles
    Rui Oliveira, Oskar Ljungqvist, Pedro F. Lima, Bo Wahlberg
    http://arxiv.org/abs/2001.06827v1

    • [cs.SE]Synergizing Domain Expertise with Self-Awareness in Software Systems: A Patternized Architecture Guideline
    Tao Chen, Rami Bahsoon, Xin Yao
    http://arxiv.org/abs/2001.07076v1

    • [cs.SE]Teaching Software Engineering for AI-Enabled Systems
    Christian Kästner, Eunsuk Kang
    http://arxiv.org/abs/2001.06691v1

    • [cs.SI]A Comparative Study of Social Network Classifiers for Predicting Churn in the Telecommunication Industry
    Maria Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
    http://arxiv.org/abs/2001.06700v1

    • [cs.SI]Estimating international trade status of countries from global liner shipping networks
    Mengqiao Xu, Qian Pan, Haoxiang Xia, Naoki Masuda
    http://arxiv.org/abs/2001.07688v1

    • [cs.SI]Graph Ordering: Towards the Optimal by Learning
    Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Junzhou Huang, Hao Zhang
    http://arxiv.org/abs/2001.06631v1

    • [cs.SI]Modeling Economic Networks with Firm-to-Firm Wire Transfers
    Thiago C. Silva, Diego R. Amancio, Benjamin M. Tabak
    http://arxiv.org/abs/2001.06889v1

    • [cs.SI]Sampling Graphlets of Multi-layer Networks: A Restricted Random Walk Approach
    Simiao Jiao, Zihui Xue, Xiaowei Chen, Yuedong Xu
    http://arxiv.org/abs/2001.07136v1

    • [cs.SI]Social Network Analytics for Churn Prediction in Telco: Model Building, Evaluation and Network Architecture
    María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, Carlos Sarraute, Bart Baesens, Jan Vanthienen
    http://arxiv.org/abs/2001.06701v1

    • [cs.SI]Sparse Nonnegative Matrix Factorization for Multiple Local Community Detection
    Dany Kamuhanda, Meng Wang, Kun He
    http://arxiv.org/abs/2001.06951v1

    • [cs.SI]True Nonlinear Dynamics from Incomplete Networks
    Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail
    http://arxiv.org/abs/2001.06722v1

    • [eess.AS]Pairwise Discriminative Neural PLDA for Speaker Verification
    Shreyas Ramoji, Prashant Krishnan V, Prachi Singh, Sriram Ganapathy
    http://arxiv.org/abs/2001.07034v1

    • [eess.AS]Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300
    Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury
    http://arxiv.org/abs/2001.07263v1

    • [eess.IV]A deep network for sinogram and CT image reconstruction
    Wei Wang, Xiang-Gen Xia, Chuanjiang He, Zemin Ren, Jian Lu, Tianfu Wang, Baiying Lei
    http://arxiv.org/abs/2001.07150v1

    • [eess.IV]An Efficient Framework for Automated Screening of Clinically Significant Macular Edema
    Renoh Johnson Chalakkal, Faizal Hafiz, Waleed Abdulla, Akshya Swain
    http://arxiv.org/abs/2001.07002v1

    • [eess.IV]Breast lesion segmentation in ultrasound images with limited annotated data
    Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz
    http://arxiv.org/abs/2001.07322v1

    • [eess.IV]CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance
    Subhayan Mukherjee, Navaneeth Kamballur Kottayil, Xinyao Sun, Irene Cheng
    http://arxiv.org/abs/2001.06961v1

    • [eess.IV]CNN-based InSAR Coherence Classification
    Subhayan Mukherjee, Aaron Zimmer, Xinyao Sun, Parwant Ghuman, Irene Cheng
    http://arxiv.org/abs/2001.06956v1

    • [eess.IV]CNN-based InSAR Denoising and Coherence Metric
    Subhayan Mukherjee, Aaron Zimmer, Navaneeth Kamballur Kottayil, Xinyao Sun, Parwant Ghuman, Irene Cheng
    http://arxiv.org/abs/2001.06954v1

    • [eess.IV]Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
    Yijie Zhang, Kevin de Haan, Yair Rivenson, Jingxi Li, Apostolos Delis, Aydogan Ozcan
    http://arxiv.org/abs/2001.07267v1

    • [eess.IV]Learning Deformable Registration of Medical Images with Anatomical Constraints
    Lucas Mansilla, Diego H. Milone, Enzo Ferrante
    http://arxiv.org/abs/2001.07183v1

    • [eess.IV]Machine Learning in Quantitative PET Imaging
    Tonghe Wang, Yang Lei, Yabo Fu, Walter J. Curran, Tian Liu, Xiaofeng Yang
    http://arxiv.org/abs/2001.06597v1

    • [eess.IV]Multimodal Deep Unfolding for Guided Image Super-Resolution
    Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
    http://arxiv.org/abs/2001.07575v1

    • [eess.IV]SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
    Jesse Sun, Fatemeh Darbeha, Mark Zaidi, Bo Wang
    http://arxiv.org/abs/2001.07645v1

    • [eess.IV]Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
    Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann, Lalith Sharan, Carolyn Fan, Beat Peter Müller-Stich, Felix Nickel, Sandy Engelhardt
    http://arxiv.org/abs/2001.06894v1

    • [eess.SP]Discreteness-aware Receivers for Overloaded MIMO Systems
    Hiroki Iimori, Razvan-Andrei Stoica, Giuseppe Thadeu Freitas de Abreu, David Gonzalez G., Andreas Andrae, Osvaldo Gonsa
    http://arxiv.org/abs/2001.07560v1

    • [eess.SP]Minimum Symbol-Error Probability Symbol-Level Precoding with Intelligent Reflecting Surface
    Mingjie Shao, Qiang Li, Wing-Kin Ma
    http://arxiv.org/abs/2001.06840v1

    • [eess.SP]Q-ary Multi-Mode OFDM with Index Modulation
    Ferhat Yarkin, Justin P. Coon
    http://arxiv.org/abs/2001.07381v1

    • [eess.SY]Counter-example Guided Learning of Bounds on Environment Behavior
    Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh, Richard M. Murray
    http://arxiv.org/abs/2001.07233v1

    • [eess.SY]Extent-Compatible Control Barrier Functions
    Mohit Srinivasan, Matthew Abate, Gustav Nilsson, Samuel Coogan
    http://arxiv.org/abs/2001.07210v1

    • [eess.SY]Task-Priority Control of Redundant Robotic Systems using Control Lyapunov and Control Barrier Function based Quadratic Programs
    Erlend A. Basso, Kristin Y. Pettersen
    http://arxiv.org/abs/2001.07547v1

    • [math.OC]Adaptive Stochastic Optimization
    Frank E. Curtis, Katya Scheinberg
    http://arxiv.org/abs/2001.06699v1

    • [math.OC]Dual Stochastic Natural Gradient Descent
    Borja Sánchez-López, Jesús Cerquides
    http://arxiv.org/abs/2001.06744v1

    • [math.ST]A General Class of Weighted Rank Correlation Measures
    M. Sanatgar, A. Dolati, M. Amini
    http://arxiv.org/abs/2001.07298v1

    • [math.ST]Asymptotic normality of a linear threshold estimator in fixed dimension with near-optimal rate
    Debarghya Mukherjee, Moulinath Banerjee, Ya’acov Ritov
    http://arxiv.org/abs/2001.06955v1

    • [math.ST]Confidence intervals for multiple isotonic regression and other monotone models
    Hang Deng, Qiyang Han, Cun-Hui Zhang
    http://arxiv.org/abs/2001.07064v1

    • [math.ST]Fundamental Limits of Testing the Independence of Irrelevant Alternatives in Discrete Choice
    Arjun Seshadri, Johan Ugander
    http://arxiv.org/abs/2001.07042v1

    • [math.ST]Generalization Bounds for High-dimensional M-estimation under Sparsity Constraint
    Xiao-Tong Yuan, Ping Li
    http://arxiv.org/abs/2001.07212v1

    • [math.ST]Invariant density adaptive estimation for ergodic jump diffusion processes over anisotropic classes
    Chiara Amorino, Arnaud Gloter
    http://arxiv.org/abs/2001.07422v1

    • [math.ST]On Construction of Higher Order Kernels Using Fourier Transforms and Covariance Functions
    Soumya Das, Subhajit Dutta, Radhenduhska Srivastava
    http://arxiv.org/abs/2001.07383v1

    • [math.ST]Reconciling the Gaussian and Whittle Likelihood with an application to estimation in the frequency domain
    Suhasini Subba Rao, Junho Yang
    http://arxiv.org/abs/2001.06966v1

    • [physics.data-an]Variational Dropout Sparsification for Particle Identification speed-up
    Artem Ryzhikov, Denis Derkach, Mikhail Hushchyn
    http://arxiv.org/abs/2001.07493v1

    • [physics.soc-ph]Random-walk Based Generative Model for Classifying Document Networks
    Takafumi J. Suzuki
    http://arxiv.org/abs/2001.07380v1

    • [stat.AP]Bayesian Spatial Models for Voxel-wise Prostate Cancer Classification Using Multi-parametric MRI Data
    Jin Jin, Lin Zhang, Ethan Leng, Gregory J. Metzger, Joseph S. Koopmeiners
    http://arxiv.org/abs/2001.07316v1

    • [stat.AP]Estimating locomotor demands during team play from broadcast-derived tracking data
    Jacob Mortensen, Luke Bornn
    http://arxiv.org/abs/2001.07692v1

    • [stat.AP]Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction
    Xiangyu Zhao, Jiliang Tang
    http://arxiv.org/abs/2001.06923v1

    • [stat.AP]GSSMD: New metric for robust and interpretable assay quality assessment and hit selection
    Seongyong Park, Shujaat Khan
    http://arxiv.org/abs/2001.06384v2

    • [stat.AP]How Fast You Can Actually Fly: A Comparative Investigation of Flight Airborne Time in China and the U.S
    Ke Liu, Zhe Zheng, Bo Zou, Mark Hansen
    http://arxiv.org/abs/2001.07646v1

    • [stat.AP]Investigation of Patient-sharing Networks Using a Bayesian Network Model Selection Approach for Congruence Class Models
    Ravi Goyal, Victor De Gruttola
    http://arxiv.org/abs/2001.06974v1

    • [stat.AP]Personality Traits and Drug Consumption. A Story Told by Data
    Elaine Fehrman, Vincent Egan, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes, Awaz K. Muhammad
    http://arxiv.org/abs/2001.06520v1

    • [stat.AP]how well can sensitivity and sojourn time be estimated
    Ayman Hijazy, András Zempléni
    http://arxiv.org/abs/2001.07469v1

    • [stat.ME]A Monte Carlo EM Algorithm for the Parameter Estimation of Aggregated Hawkes Processes
    Leigh Shlomovich, Edward Cohen, Niall Adams, Lekha Patel
    http://arxiv.org/abs/2001.07160v1

    • [stat.ME]Bayesian inference for treatment effects under nested subsets of controls
    Spencer Woody, Carlos M. Carvalho, Jared S. Murray
    http://arxiv.org/abs/2001.07256v1

    • [stat.ME]Clinical Prediction Models to Predict the Risk of Multiple Binary Outcomes: a comparison of approaches
    Glen P. Martin, Matthew Sperrin, Kym I. E. Snell, Iain Buchan, Richard D. Riley
    http://arxiv.org/abs/2001.07624v1

    • [stat.ME]Counterexamples to “The Blessings of Multiple Causes” by Wang and Blei
    Elizabeth L. Ogburn, Ilya Shpitser, Eric J. Tchetgen Tchetgen
    http://arxiv.org/abs/2001.06555v1

    • [stat.ME]Estimation of Causal Effects of Multiple Treatments in Observational Studies with a Binary Outcome
    Liangyuan Hu, Chenyang Gu, Michael Lopez, Jiayi Ji, Juan Wisnivesky
    http://arxiv.org/abs/2001.06483v1

    • [stat.ME]Flexible models for nonstationary dependence: Methodology and examples
    Benjamin D. Youngman
    http://arxiv.org/abs/2001.06642v1

    • [stat.ME]Insight into bias in time-stratified case-crossover studies
    Xiaoming Wang, Sukun Wang
    http://arxiv.org/abs/2001.06606v1

    • [stat.ME]Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models
    B. Galindo-Prieto, P. Geladi, J. Trygg
    http://arxiv.org/abs/2001.06530v1

    • [stat.ME]Non-linear Mediation Analysis with High-dimensional Mediators whose Causal Structure is Unknown
    Wen Wei Loh, Beatrijs Moerkerke, Tom Loeys, Stijn Vansteelandt
    http://arxiv.org/abs/2001.07147v1

    • [stat.ME]Understanding the stochastic partial differential equation approach to smoothing
    David L Miller, Richard Glennie, Andrew E Seaton
    http://arxiv.org/abs/2001.07623v1

    • [stat.ML]A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application
    Vidhi Lalchand
    http://arxiv.org/abs/2001.06880v1

    • [stat.ML]Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective
    Shun-ichi Amari
    http://arxiv.org/abs/2001.06931v1

    • [stat.ML]Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives
    Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen
    http://arxiv.org/abs/2001.07026v1

    • [stat.ML]Efficient Neural Architecture Search: A Broad Version
    Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
    http://arxiv.org/abs/2001.06679v1

    • [stat.ML]Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
    Daniele Gammelli, Inon Peled, Filipe Rodrigues, Dario Pacino, Haci A. Kurtaran, Francisco C. Pereira
    http://arxiv.org/abs/2001.07402v1

    • [stat.ML]Explicit agreement extremes for a $2\times2$ table with given marginals
    José E. Chacón
    http://arxiv.org/abs/2001.07415v1

    • [stat.ML]Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification
    Ray-Bing Chen, Yuan Wang, C. F. Jeff Wu
    http://arxiv.org/abs/2001.06858v1

    • [stat.ML]Optimal Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting
    Tianyang Hu, Zuofeng Shang, Guang Cheng
    http://arxiv.org/abs/2001.06892v1

    • [stat.ML]TopRank+: A Refinement of TopRank Algorithm
    Victor de la Pena, Haolin Zou
    http://arxiv.org/abs/2001.07617v1