astro-ph.IM - 仪器仪表和天体物理学方法 cs.AI - 人工智能 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.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.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.MA - 多代理系统 cs.MS - 数学软件 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.MG -公制几何 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 q-fin.ST - 统计金融学 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

    • [astro-ph.IM]Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques
    • [cs.AI]An ASP semantics for Constraints involving Conditional Aggregates
    • [cs.AI]Implementing Dynamic Answer Set Programming
    • [cs.AI]Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
    • [cs.AI]On the Approximability of Weighted Model Integration on DNF Structures
    • [cs.AI]PDDLGym: Gym Environments from PDDL Problems
    • [cs.AI]Semantic Relatedness and Taxonomic Word Embeddings
    • [cs.AI]Semantics of negative sequential patterns
    • [cs.AI]SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection
    • [cs.AI]Supervised Phrase-boundary Embeddings
    • [cs.AI]Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks
    • [cs.AI]Untrue.News: A New Search Engine For Fake Stories
    • [cs.CG]Coresets for the Nearest-Neighbor Rule
    • [cs.CL]A Multimodal Dialogue System for Conversational Image Editing
    • [cs.CL]Deeper Task-Specificity Improves Joint Entity and Relation Extraction
    • [cs.CL]Exploring Neural Models for Parsing Natural Language into First-Order Logic
    • [cs.CL]Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
    • [cs.CL]GameWikiSum: a Novel Large Multi-Document Summarization Dataset
    • [cs.CL]Gaussian Smoothen Semantic Features (GSSF) — Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework
    • [cs.CL]HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
    • [cs.CL]Incorporating BERT into Neural Machine Translation
    • [cs.CL]Learning to Generate Multiple Style Transfer Outputs for an Input Sentence
    • [cs.CL]Multi-layer Representation Fusion for Neural Machine Translation
    • [cs.CL]Neural Machine Translation with Joint Representation
    • [cs.CL]SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
    • [cs.CL]Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language
    • [cs.CL]The Utility of General Domain Transfer Learning for Medical Language Tasks
    • [cs.CL]Towards Detection of Subjective Bias using Contextualized Word Embeddings
    • [cs.CR]A New Methodology for Information Security Risk Assessment for Medical Devices and Its Evaluation
    • [cs.CR]An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism
    • [cs.CR]Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS
    • [cs.CR]Bitcoin’s Blockchain Data Analytics: A Graph Theoretic Perspective
    • [cs.CR]Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification
    • [cs.CV]A Multiple Decoder CNN for Inverse Consistent 3D Image Registration
    • [cs.CV]A Real-Time Deep Network for Crowd Counting
    • [cs.CV]AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes
    • [cs.CV]Amplifying The Uncanny
    • [cs.CV]An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
    • [cs.CV]Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
    • [cs.CV]Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
    • [cs.CV]Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition
    • [cs.CV]CQ-VQA: Visual Question Answering on Categorized Questions
    • [cs.CV]CRL: Class Representative Learning for Image Classification
    • [cs.CV]Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images
    • [cs.CV]Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic
    • [cs.CV]Deep Domain Adaptive Object Detection: a Survey
    • [cs.CV]DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
    • [cs.CV]Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
    • [cs.CV]Discernible Compressed Images via Deep Perception Consistency
    • [cs.CV]Face Recognition: Too Bias, or Not Too Bias?
    • [cs.CV]Facial Attribute Capsules for Noise Face Super Resolution
    • [cs.CV]Generator From Edges: Reconstruction of Facial Images
    • [cs.CV]Hierarchical Rule Induction Network for Abstract Visual Reasoning
    • [cs.CV]HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
    • [cs.CV]Historical Document Processing: Historical Document Processing: A Survey of Techniques, Tools, and Trends
    • [cs.CV]Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
    • [cs.CV]Lake Ice Detection from Sentinel-1 SAR with Deep Learning
    • [cs.CV]Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
    • [cs.CV]Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks
    • [cs.CV]Layered Embeddings for Amodal Instance Segmentation
    • [cs.CV]Learning Architectures for Binary Networks
    • [cs.CV]Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
    • [cs.CV]On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples
    • [cs.CV]Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT
    • [cs.CV]PeelNet: Textured 3D reconstruction of human body using single view RGB image
    • [cs.CV]Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
    • [cs.CV]Recognizing Families In the Wild (RFIW): The 4th Edition
    • [cs.CV]Reinforced active learning for image segmentation
    • [cs.CV]Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
    • [cs.CV]Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
    • [cs.CV]Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
    • [cs.CV]Spectrum Translation for Cross-Spectral Ocular Matching
    • [cs.CV]Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization
    • [cs.CV]Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
    • [cs.CV]Topological Mapping for Manhattan-like Repetitive Environments
    • [cs.CV]UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
    • [cs.CV]Unsupervised Image-generation Enhanced Adaptation for Object Detection in Thermal images
    • [cs.CV]Video Face Super-Resolution with Motion-Adaptive Feedback Cell
    • [cs.CV]Why Do Line Drawings Work? A Realism Hypothesis
    • [cs.CY]The Minimum Hybrid Contract (MHC): Combining legal and blockchain smart contracts
    • [cs.DB]Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
    • [cs.DC]Big Data Staging with MPI-IO for Interactive X-ray Science
    • [cs.DC]Byzantine Lattice Agreement in Asynchronous Systems
    • [cs.DC]Concurrent Reference Counting and Resource Management in Wait-free Constant Time
    • [cs.DC]Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems
    • [cs.DC]Distributed Sketching Methods for Privacy Preserving Regression
    • [cs.DC]How fast can you update your MST? (Dynamic algorithms for cluster computing)
    • [cs.DC]In Search for a Linear Byzantine Agreement
    • [cs.DC]Not a COINcidence: Sub-Quadratic Asynchronous Byzantine Agreement WHP
    • [cs.DC]Running a Pre-Exascale, Geographically Distributed, Multi-Cloud Scientific Simulation
    • [cs.DC]Simulating Performance of ML Systems with Offline Profiling
    • [cs.DL]Identifying the Development and Application of Artificial Intelligence in Scientific Text
    • cs.DS Fairness for $k$-Clustering
    • [cs.GT]From Matching with Diversity Constraints to Matching with Regional Quotas
    • [cs.GT]Pipeline Interventions
    • [cs.HC]Designing Interaction for Multi-agent Cooperative System in an Office Environment
    • [cs.IR]Attentive Item2Vec: Neural Attentive User Representations
    • [cs.IR]Citation Recommendation: Approaches and Datasets
    • [cs.IR]HybridCite: A Hybrid Model for Context-Aware Citation Recommendation
    • [cs.IR]Open Knowledge Enrichment for Long-tail Entities
    • [cs.IR]Serial Speakers: a Dataset of TV Series
    • [cs.IR]Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey
    • [cs.IR]TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval
    • [cs.IT]Analysis on Computation-Intensive Status Update in Mobile Edge Computing
    • [cs.IT]Asymptotically optimal codebooks derived from generalised bent functions
    • [cs.IT]Collaborative RF and Lightwave Power Transfer for Next-Generation Wireless Networks
    • [cs.IT]Convex Optimization on Functionals of Probability Densities
    • [cs.IT]Deep Learning for Massive MIMO Channel State Acquisition and Feedback
    • [cs.IT]Handover Probability in Drone Cellular Networks
    • [cs.IT]Intelligent Reflecting Surface Aided Multiple Access: Capacity Region and Deployment Strategy
    • [cs.IT]Low-PMEPR Preamble Sequence Design for Dynamic Spectrum Allocation in OFDMA Systems
    • [cs.IT]New Constructions of Cross Z-Complementary Pairs
    • [cs.IT]On the dimension of ideals in group algebras, and group codes
    • [cs.IT]Polarization-adjusted Convolutional (PAC) Codes: Fano Decoding vs List Decoding
    • [cs.IT]Relativity of Depth and Sophistication
    • [cs.IT]The normalized algorithmic information distance can not be approximated
    • [cs.LG]$π$VAE: Encoding stochastic process priors with variational autoencoders
    • [cs.LG]A Sparse Deep Factorization Machine for Efficient CTR prediction
    • [cs.LG]A closer look at the approximation capabilities of neural networks
    • [cs.LG]Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity
    • [cs.LG]Algorithmic Recourse: from Counterfactual Explanations to Interventions
    • [cs.LG]Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
    • [cs.LG]BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
    • [cs.LG]BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
    • [cs.LG]CAT: Customized Adversarial Training for Improved Robustness
    • [cs.LG]Causal Feature Discovery through Strategic Modification
    • [cs.LG]Class-Imbalanced Semi-Supervised Learning
    • [cs.LG]Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
    • [cs.LG]Controlled time series generation for automotive software-in-the-loop testing using GANs
    • [cs.LG]Controlling Computation versus Quality for Neural Sequence Models
    • [cs.LG]Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning
    • [cs.LG]Correlated Adversarial Imitation Learning
    • [cs.LG]Data and Model Dependencies of Membership Inference Attack
    • [cs.LG]Differentiable Bandit Exploration
    • [cs.LG]Differentiable Top-k Operator with Optimal Transport
    • [cs.LG]Entity Context and Relational Paths for Knowledge Graph Completion
    • [cs.LG]Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
    • [cs.LG]Fair Principal Component Analysis and Filter Design
    • [cs.LG]Federated Learning with Matched Averaging
    • [cs.LG]First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning
    • [cs.LG]Generalized Embedding Machines for Recommender Systems
    • [cs.LG]Handling Missing Annotations in Supervised Learning Data
    • [cs.LG]Hold me tight! Influence of discriminative features on deep network boundaries
    • [cs.LG]Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank
    • [cs.LG]Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
    • [cs.LG]Investigating the Compositional Structure Of Deep Neural Networks
    • [cs.LG]Jelly Bean World: A Testbed for Never-Ending Learning
    • [cs.LG]Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
    • [cs.LG]Latent Variable Modelling with Hyperbolic Normalizing Flows
    • [cs.LG]Learning Adaptive Loss for Robust Learning with Noisy Labels
    • [cs.LG]Learning Group Structure and Disentangled Representations of Dynamical Environments
    • [cs.LG]Learning Individually Fair Classifier with Causal-Effect Constraint
    • [cs.LG]Learning Not to Learn in the Presence of Noisy Labels
    • [cs.LG]Learning Robust Representations via Multi-View Information Bottleneck
    • [cs.LG]Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
    • [cs.LG]Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences
    • [cs.LG]Loop estimator for discounted values in Markov reward processes
    • [cs.LG]Low-Rank Bottleneck in Multi-head Attention Models
    • [cs.LG]MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC)
    • [cs.LG]Manifold-based Test Generation for Image Classifiers
    • [cs.LG]Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach
    • [cs.LG]Multi-Class Classification from Noisy-Similarity-Labeled Data
    • [cs.LG]Multi-Task Multicriteria Hyperparameter Optimization
    • [cs.LG]Multiple Flat Projections for Cross-manifold Clustering
    • [cs.LG]Neural Architecture Search over Decentralized Data
    • [cs.LG]Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
    • [cs.LG]On Coresets for Support Vector Machines
    • [cs.LG]Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
    • [cs.LG]Performative Prediction
    • [cs.LG]Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
    • [cs.LG]Quantum Bandits
    • [cs.LG]REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation
    • [cs.LG]Reinforcement learning for the manipulation of eye tracking data
    • [cs.LG]Residual Continual Learning
    • [cs.LG]Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
    • [cs.LG]Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning
    • [cs.LG]Robustness Verification for Transformers
    • [cs.LG]Scalable Quantitative Verification For Deep Neural Networks
    • [cs.LG]Subset Sampling For Progressive Neural Network Learning
    • [cs.LG]TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL
    • [cs.LG]Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
    • [cs.LG]Unifying Graph Convolutional Neural Networks and Label Propagation
    • [cs.LG]Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
    • [cs.LG]Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
    • [cs.LG]t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
    • [cs.LO]Learning to Prove Theorems by Learning to Generate Theorems
    • [cs.MA]R-MADDPG for Partially Observable Environments and Limited Communication
    • [cs.MS]Computing rank-revealing factorizations of matrices stored out-of-core
    • [cs.NE]Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
    • [cs.NE]Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives
    • [cs.NE]Memristive Properties of Mushrooms
    • [cs.RO]3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
    • [cs.RO]A Robust Model-Based Biped Locomotion Framework Based on Three-Mass Model: From Planning to Control
    • [cs.RO]Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics
    • [cs.RO]Advanced BIT (ABIT): Sampling-Based Planning with Advanced Graph-Search Techniques
    • [cs.RO]Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot
    • [cs.RO]Learning Pregrasp Manipulation of Objects from Ungraspable Poses
    • [cs.RO]Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions
    • [cs.RO]Nonlinear MPC with Motor Failure Identification and Recovery for Safe and Aggressive Multicopter Flight
    • [cs.RO]On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor
    • [cs.RO]Reliable Trajectories for Dynamic Quadrupeds using Analytical Costs and Learned Initializations
    • [cs.SD]Meta-learning Extractors for Music Source Separation
    • [cs.SI]A Fast Counting Method for 6-motifs with Low Connectivity
    • [cs.SI]Convolutional Neural Networks for Sentiment Analysis in Persian Social Media
    • [cs.SI]Global and Local Feature Learning for Ego-Network Analysis
    • [cs.SI]It is not just about the Melody: How Europe Votes for its Favorite Songs
    • [cs.SI]Modeling Citation Trajectories of Scientific Papers
    • [cs.SI]Predicting event attendance exploring social influence
    • [cs.SI]Scalable Dyadic Independence Models with Local and Global Constraints
    • [cs.SI]What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions
    • [eess.IV]4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
    • [eess.IV]Automatic Frame Selection using CNN in Ultrasound Elastography
    • [eess.IV]Automatic lesion segmentation and Pathological Myopia classification in fundus images
    • [eess.IV]Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
    • [eess.IV]Seeing Around Corners with Edge-Resolved Transient Imaging
    • [eess.SP]Channel Estimation for RIS-Aided mmWave MIMO Channels
    • [math.MG]On the Search for Tight Frames of Low Coherence
    • [math.OC]A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
    • [math.PR]Approximation Bounds for Random Neural Networks and Reservoir Systems
    • [math.PR]Least squares estimation for non-ergodic weighted fractional Ornstein-Uhlenbeck process of general parameters
    • [math.ST]Conditional Shannon, Réyni, and Tsallis entropies estimation and asymptotic limits: discrete case
    • [math.ST]Consistency of the PLFit estimator for power-law data
    • [math.ST]Density estimation using Dirichlet kernels
    • [math.ST]Further Inference on Categorical Data — A Bayesian Approach
    • [math.ST]Gaussian Prepivoting for Finite Population Causal Inference
    • [math.ST]Holes in Bayesian Statistics
    • [math.ST]Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
    • [math.ST]On efficient adjustment in causal graphs
    • [physics.soc-ph]Knowledge and Social Relatedness Shape Research Portfolio Diversification
    • [q-bio.QM]The Synthesizability of Molecules Proposed by Generative Models
    • [q-fin.ST]Deep Learning for Asset Bubbles Detection
    • [quant-ph]Non-additivity in classical-quantum wiretap channels
    • [quant-ph]Refined Belief Propagation Decoding of Sparse-Graph Quantum Codes
    • [stat.AP]A Robust Statistical method to Estimate the Intervention Effect with Longitudinal Data
    • [stat.AP]Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution
    • [stat.AP]Statistical Simulator for the Engine Knock
    • [stat.AP]Understanding the spatial burden of gender-based violence: Modelling patterns of violence in Nairobi, Kenya through geospatial information
    • [stat.CO]Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems
    • [stat.ME]A Bayesian time-to-event pharmacokinetic model for phase I dose-escalation trials with multiple schedules
    • [stat.ME]A Divide and Conquer Algorithm of Bayesian Density Estimation
    • [stat.ME]A Stein Goodness-of-fit Test for Directional Distributions
    • [stat.ME]A principled distance-based prior for the shape of the Weibull model
    • [stat.ME]Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data
    • [stat.ME]Bayesian Structure Learning in Multi-layered Genomic Networks
    • [stat.ME]Combining Observational and Experimental Datasets Using Shrinkage Estimators
    • [stat.ME]Regression-based Negative Control of Homophily in Dyadic Peer Effect Analysis
    • [stat.ME]Seeded Binary Segmentation: A general methodology for fast and optimal change point detection
    • [stat.ML]Active Bayesian Assessment for Black-Box Classifiers
    • [stat.ML]Adaptive Experience Selection for Policy Gradient
    • [stat.ML]Convex Fairness Constrained Model Using Causal Effect Estimators
    • [stat.ML]Distributed Averaging Methods for Randomized Second Order Optimization
    • [stat.ML]Extreme Classification via Adversarial Softmax Approximation
    • [stat.ML]Higher order co-occurrence tensors for hypergraphs via face-splitting
    • [stat.ML]Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
    • [stat.ML]Posterior Ratio Estimation for Latent Variables
    • [stat.ML]Stochastic Normalizing Flows
    • [stat.ML]Structures of Spurious Local Minima in $k$-means
    • [stat.ML]Tensor denoising and completion based on ordinal observations

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

    • [astro-ph.IM]Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques
    Jiali Xu, Qian Yin, Ping Guo, Xin Zheng
    http://arxiv.org/abs/2002.06600v1

    • [cs.AI]An ASP semantics for Constraints involving Conditional Aggregates
    Pedro Cabalar, Jorge Fandinno, Torsten Schaub, Philipp Wanko
    http://arxiv.org/abs/2002.06911v1

    • [cs.AI]Implementing Dynamic Answer Set Programming
    Pedro Cabalar, Martín Diéguez, Torsten Schaub, François Laferrière
    http://arxiv.org/abs/2002.06916v1

    • [cs.AI]Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
    Qingfeng Lan, Yangchen Pan, Alona Fyshe, Martha White
    http://arxiv.org/abs/2002.06487v1

    • [cs.AI]On the Approximability of Weighted Model Integration on DNF Structures
    Ralph Abboud, Ismail Ilkan Ceylan, Radoslav Dimitrov
    http://arxiv.org/abs/2002.06726v1

    • [cs.AI]PDDLGym: Gym Environments from PDDL Problems
    Tom Silver, Rohan Chitnis
    http://arxiv.org/abs/2002.06432v1

    • [cs.AI]Semantic Relatedness and Taxonomic Word Embeddings
    Magdalena Kacmajor, John D. Kelleher, Filip Klubicka, Alfredo Maldonado
    http://arxiv.org/abs/2002.06235v1

    • [cs.AI]Semantics of negative sequential patterns
    Philippe Besnard, Thomas Guyet
    http://arxiv.org/abs/2002.06920v1

    • [cs.AI]SpotTheFake: An Initial Report on a New CNN-Enhanced Platform for Counterfeit Goods Detection
    Alexandru Şerban, George Ilaş, George-Cosmin Poruşniuc
    http://arxiv.org/abs/2002.06735v1

    • [cs.AI]Supervised Phrase-boundary Embeddings
    Manni Singh, David Weston, Mark Levene
    http://arxiv.org/abs/2002.06450v1

    • [cs.AI]Targeted Forgetting and False Memory Formation in Continual Learners through Adversarial Backdoor Attacks
    Muhammad Umer, Glenn Dawson, Robi Polikar
    http://arxiv.org/abs/2002.07111v1

    • [cs.AI]Untrue.News: A New Search Engine For Fake Stories
    Vinicius Woloszyn, Felipe Schaeffer, Beliza Boniatti, Eduardo Cortes, Salar Mohtaj, Sebastian Möller
    http://arxiv.org/abs/2002.06585v1

    • [cs.CG]Coresets for the Nearest-Neighbor Rule
    Alejandro Flores Velazco, David M. Mount
    http://arxiv.org/abs/2002.06650v1

    • [cs.CL]A Multimodal Dialogue System for Conversational Image Editing
    Tzu-Hsiang Lin, Trung Bui, Doo Soon Kim, Jean Oh
    http://arxiv.org/abs/2002.06484v1

    • [cs.CL]Deeper Task-Specificity Improves Joint Entity and Relation Extraction
    Phil Crone
    http://arxiv.org/abs/2002.06424v1

    • [cs.CL]Exploring Neural Models for Parsing Natural Language into First-Order Logic
    Hrituraj Singh, Milan Aggrawal, Balaji Krishnamurthy
    http://arxiv.org/abs/2002.06544v1

    • [cs.CL]Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping
    Jesse Dodge, Gabriel Ilharco, Roy Schwartz, Ali Farhadi, Hannaneh Hajishirzi, Noah Smith
    http://arxiv.org/abs/2002.06305v1

    • [cs.CL]GameWikiSum: a Novel Large Multi-Document Summarization Dataset
    Diego Antognini, Boi Faltings
    http://arxiv.org/abs/2002.06851v1

    • [cs.CL]Gaussian Smoothen Semantic Features (GSSF) — Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework
    Chiranjib Sur
    http://arxiv.org/abs/2002.06701v1

    • [cs.CL]HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset
    Diego Antognini, Boi Faltings
    http://arxiv.org/abs/2002.06854v1

    • [cs.CL]Incorporating BERT into Neural Machine Translation
    Jinhua Zhu, Yingce Xia, Lijun Wu, Di He, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
    http://arxiv.org/abs/2002.06823v1

    • [cs.CL]Learning to Generate Multiple Style Transfer Outputs for an Input Sentence
    Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz
    http://arxiv.org/abs/2002.06525v1

    • [cs.CL]Multi-layer Representation Fusion for Neural Machine Translation
    Qiang Wang, Fuxue Li, Tong Xiao, Yanyang Li, Yinqiao Li, Jingbo Zhu
    http://arxiv.org/abs/2002.06714v1

    • [cs.CL]Neural Machine Translation with Joint Representation
    YanYang Li, Qiang Wang, Tong Xiao, Tongran Liu, Jingbo Zhu
    http://arxiv.org/abs/2002.06546v1

    • [cs.CL]SBERT-WK: A Sentence Embedding Method by Dissecting BERT-based Word Models
    Bin Wang, C. -C. Jay Kuo
    http://arxiv.org/abs/2002.06652v1

    • [cs.CL]Speech Corpus of Ainu Folklore and End-to-end Speech Recognition for Ainu Language
    Kohei Matsuura, Sei Ueno, Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara
    http://arxiv.org/abs/2002.06675v1

    • [cs.CL]The Utility of General Domain Transfer Learning for Medical Language Tasks
    Daniel Ranti, Katie Hanss, Shan Zhao, Varun Arvind, Joseph Titano, Anthony Costa, Eric Oermann
    http://arxiv.org/abs/2002.06670v1

    • [cs.CL]Towards Detection of Subjective Bias using Contextualized Word Embeddings
    Tanvi Dadu, Kartikey Pant, Radhika Mamidi
    http://arxiv.org/abs/2002.06644v1

    • [cs.CR]A New Methodology for Information Security Risk Assessment for Medical Devices and Its Evaluation
    Tom Mahler, Yuval Elovici, Yuval Shahar
    http://arxiv.org/abs/2002.06938v1

    • [cs.CR]An Efficient Permissioned Blockchain Model with Provable Reputation Mechanism
    Hongyin Chen, Zhaohua Chen, Yukun Cheng, Xiaotie Deng, Wenhan Huang, Jichen Li, Hongyi Ling, Mengqian Zhang
    http://arxiv.org/abs/2002.06852v1

    • [cs.CR]Analyzing CNN Based Behavioural Malware Detection Techniques on Cloud IaaS
    Andrew McDole, Mahmoud Abdelsalam, Maanak Gupta, Sudip Mittal
    http://arxiv.org/abs/2002.06383v1

    • [cs.CR]Bitcoin’s Blockchain Data Analytics: A Graph Theoretic Perspective
    Aman Sharma, Ashutosh Bhatia
    http://arxiv.org/abs/2002.06403v1

    • [cs.CR]Query-Efficient Physical Hard-Label Attacks on Deep Learning Visual Classification
    Ryan Feng, Jiefeng Chen, Nelson Manohar, Earlence Fernandes, Somesh Jha, Atul Prakash
    http://arxiv.org/abs/2002.07088v1

    • [cs.CV]A Multiple Decoder CNN for Inverse Consistent 3D Image Registration
    Abdullah Nazib, Clinton Fookes, Olivier Salvado, Dimitri Perrin
    http://arxiv.org/abs/2002.06468v1

    • [cs.CV]A Real-Time Deep Network for Crowd Counting
    Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He
    http://arxiv.org/abs/2002.06515v1

    • [cs.CV]AOL: Adaptive Online Learning for Human Trajectory Prediction in Dynamic Video Scenes
    Manh Huynh, Gita Alaghband
    http://arxiv.org/abs/2002.06666v1

    • [cs.CV]Amplifying The Uncanny
    Terence Broad, Frederic Fol Leymarie, Mick Grierson
    http://arxiv.org/abs/2002.06890v1

    • [cs.CV]An End-to-End Framework for Unsupervised Pose Estimation of Occluded Pedestrians
    Sudip Das, Perla Sai Raj Kishore, Ujjwal Bhattacharya
    http://arxiv.org/abs/2002.06429v1

    • [cs.CV]Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
    Jiabao Lei, Kui Jia
    http://arxiv.org/abs/2002.06597v1

    • [cs.CV]Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
    David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth Barker, Sebastian Ourselin, James H. Cole, Thomas C. Booth
    http://arxiv.org/abs/2002.06588v1

    • [cs.CV]Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition
    Hubert Lin, Paul Upchurch, Kavita Bala
    http://arxiv.org/abs/2002.06626v1

    • [cs.CV]CQ-VQA: Visual Question Answering on Categorized Questions
    Aakansha Mishra, Ashish Anand, Prithwijit Guha
    http://arxiv.org/abs/2002.06800v1

    • [cs.CV]CRL: Class Representative Learning for Image Classification
    Mayanka Chandrashekar, Yugyung Lee
    http://arxiv.org/abs/2002.06619v1

    • [cs.CV]Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images
    Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai
    http://arxiv.org/abs/2002.06345v1

    • [cs.CV]Context Conditional Variational Autoencoder for Predicting Multi-Path Trajectories in Mixed Traffic
    Hao Cheng, Wentong Liao. Michael Ying Yang, Monica Sester, Bodo Rosenhahn
    http://arxiv.org/abs/2002.05966v2

    • [cs.CV]Deep Domain Adaptive Object Detection: a Survey
    Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang
    http://arxiv.org/abs/2002.06797v1

    • [cs.CV]DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
    Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang
    http://arxiv.org/abs/2002.06832v1

    • [cs.CV]Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation
    Yingjie Yin, De Xu, Xingang Wang, Lei Zhang
    http://arxiv.org/abs/2002.06736v1

    • [cs.CV]Discernible Compressed Images via Deep Perception Consistency
    Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu
    http://arxiv.org/abs/2002.06810v1

    • [cs.CV]Face Recognition: Too Bias, or Not Too Bias?
    Joseph P Robinson, Gennady Livitz, Yann Henon, Can Qin, Yun Fu, Samson Timoner
    http://arxiv.org/abs/2002.06483v1

    • [cs.CV]Facial Attribute Capsules for Noise Face Super Resolution
    Jingwei Xin, Nannan
    2000
    Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li
    http://arxiv.org/abs/2002.06518v1

    • [cs.CV]Generator From Edges: Reconstruction of Facial Images
    Nao Takano, Gita Alaghband
    http://arxiv.org/abs/2002.06682v1

    • [cs.CV]Hierarchical Rule Induction Network for Abstract Visual Reasoning
    Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai
    http://arxiv.org/abs/2002.06838v1

    • [cs.CV]HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
    Michel Deudon, Alfredo Kalaitzis, Israel Goytom, Md Rifat Arefin, Zhichao Lin, Kris Sankaran, Vincent Michalski, Samira E. Kahou, Julien Cornebise, Yoshua Bengio
    http://arxiv.org/abs/2002.06460v1

    • [cs.CV]Historical Document Processing: Historical Document Processing: A Survey of Techniques, Tools, and Trends
    James P. Philips, Nasseh Tabrizi
    http://arxiv.org/abs/2002.06300v1

    • [cs.CV]Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
    Yeongmin Ko, Jiwon Jun, Donghwuy Ko, Moongu Jeon
    http://arxiv.org/abs/2002.06604v1

    • [cs.CV]Lake Ice Detection from Sentinel-1 SAR with Deep Learning
    Manu Tom, Roberto Aguilar, Pascal Imhof, Silvan Leinss, Emmanuel Baltsavias, Konrad Schindler
    http://arxiv.org/abs/2002.07040v1

    • [cs.CV]Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
    Shweta Mahajan, Iryna Gurevych, Stefan Roth
    http://arxiv.org/abs/2002.06661v1

    • [cs.CV]Layer-wise Pruning and Auto-tuning of Layer-wise Learning Rates in Fine-tuning of Deep Networks
    Youngmin Ro, Jin Young Choi
    http://arxiv.org/abs/2002.06048v2

    • [cs.CV]Layered Embeddings for Amodal Instance Segmentation
    Yanfeng Liu, Eric Psota, Lance Pérez
    http://arxiv.org/abs/2002.06264v1

    • [cs.CV]Learning Architectures for Binary Networks
    Kunal Pratap Singh, Dahyun Kim, Jonghyun Choi
    http://arxiv.org/abs/2002.06963v1

    • [cs.CV]Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
    Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su
    http://arxiv.org/abs/2002.06478v1

    • [cs.CV]On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples
    Pamela K. Douglas, Farzad Vasheghani Farahani
    http://arxiv.org/abs/2002.06816v1

    • [cs.CV]Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT
    Mohamed S. Elmahdy, Tanuj Ahuja, U. A. van der Heide, Marius Staring
    http://arxiv.org/abs/2002.06927v1

    • [cs.CV]PeelNet: Textured 3D reconstruction of human body using single view RGB image
    Sai Sagar Jinka, Rohan Chacko, Avinash Sharma, P. J. Narayanan
    http://arxiv.org/abs/2002.06664v1

    • [cs.CV]Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
    Yichi Zhang, Ritchie Zhao, Weizhe Hua, Nayun Xu, G. Edward Suh, Zhiru Zhang
    http://arxiv.org/abs/2002.07136v1

    • [cs.CV]Recognizing Families In the Wild (RFIW): The 4th Edition
    Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu
    http://arxiv.org/abs/2002.06303v1

    • [cs.CV]Reinforced active learning for image segmentation
    Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
    http://arxiv.org/abs/2002.06583v1

    • [cs.CV]Scale-Invariant Multi-Oriented Text Detection in Wild Scene Images
    Kinjal Dasgupta, Sudip Das, Ujjwal Bhattacharya
    http://arxiv.org/abs/2002.06423v1

    • [cs.CV]Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
    Connor J. Parde, Y. Ivette Colón, Matthew Q. Hill, Carlos D. Castillo, Prithviraj Dhar, Alice J. O’Toole
    http://arxiv.org/abs/2002.06274v1

    • [cs.CV]Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
    Jiachen Li, Hengbo Ma, Zhihao Zhang, Masayoshi Tomizuka
    http://arxiv.org/abs/2002.06241v1

    • [cs.CV]Spectrum Translation for Cross-Spectral Ocular Matching
    Kevin Hernandez Diaz, Fernando Alonso-Fernandez, Josef Bigun
    http://arxiv.org/abs/2002.06228v1

    • [cs.CV]Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization
    Teppei Suzuki
    http://arxiv.org/abs/2002.06765v1

    • [cs.CV]Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
    Liang Qiao, Sanli Tang, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu
    http://arxiv.org/abs/2002.06820v1

    • [cs.CV]Topological Mapping for Manhattan-like Repetitive Environments
    Sai Shubodh Puligilla, Satyajit Tourani, Tushar Vaidya, Udit Singh Parihar, Ravi Kiran Sarvadevabhatla, K. Madhava Krishna
    http://arxiv.org/abs/2002.06575v1

    • [cs.CV]UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
    Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou
    http://arxiv.org/abs/2002.06353v1

    • [cs.CV]Unsupervised Image-generation Enhanced Adaptation for Object Detection in Thermal images
    Wanyi Li, Fuyu Li, Yongkang Luo, Peng Wang
    http://arxiv.org/abs/2002.06770v1

    • [cs.CV]Video Face Super-Resolution with Motion-Adaptive Feedback Cell
    Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li
    http://arxiv.org/abs/2002.06378v1

    • [cs.CV]Why Do Line Drawings Work? A Realism Hypothesis
    Aaron Hertzmann
    http://arxiv.org/abs/2002.06260v1

    • [cs.CY]The Minimum Hybrid Contract (MHC): Combining legal and blockchain smart contracts
    Jørgen Svennevik Notland, Jakob Svennevik Notland, Donn Morrison
    http://arxiv.org/abs/2002.06850v1

    • [cs.DB]Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
    Yaoshu Wang, Chuan Xiao, Jianbin Qin, Xin Cao, Yifang Sun, Wei Wang, Makoto Onizuka
    http://arxiv.org/abs/2002.06442v1

    • [cs.DC]Big Data Staging with MPI-IO for Interactive X-ray Science
    Justin M. Wozniak, Hemant Sharma, Timothy G. Armstrong, Michael Wilde, Jonathan D. Almer, Ian Foster
    http://arxiv.org/abs/2002.06258v1

    • [cs.DC]Byzantine Lattice Agreement in Asynchronous Systems
    Xiong Zheng, Vijay Garg
    http://arxiv.org/abs/2002.06779v1

    • [cs.DC]Concurrent Reference Counting and Resource Management in Wait-free Constant Time
    Guy E. Blelloch, Yuanhao Wei
    http://arxiv.org/abs/2002.07053v1

    • [cs.DC]Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems
    Ivy Peng, Kai Wu, Jie Ren, Dong Li, Maya Gokhale
    http://arxiv.org/abs/2002.06499v1

    • [cs.DC]Distributed Sketching Methods for Privacy Preserving Regression
    Burak Bartan, Mert Pilanci
    http://arxiv.org/abs/2002.06538v1

    • [cs.DC]How fast can you update your MST? (Dynamic algorithms for cluster computing)
    Seth Gilbert, Lawrence Li
    http://arxiv.org/abs/2002.06762v1

    • [cs.DC]In Search for a Linear Byzantine Agreement
    Alexander Spiegelman
    http://arxiv.org/abs/2002.06993v1

    • [cs.DC]Not a COINcidence: Sub-Quadratic Asynchronous Byzantine Agreement WHP
    Shir Cohen, Idit Keidar, Alexander Spiegelman
    http://arxiv.org/abs/2002.06545v1

    • [cs.DC]Running a Pre-Exascale, Geographically Distributed, Multi-Cloud Scientific Simulation
    Igor Sfiligoi, Frank Wuerthwein, Benedikt Riedel, David Schultz
    http://arxiv.org/abs/2002.06667v1

    • [cs.DC]Simulating Performance of ML Systems with Offline Profiling
    Hongming Huang, Peng Cheng, Hong Xu, Yongqiang Xiong
    http://arxiv.org/abs/2002.06790v1

    • [cs.DL]Identifying the Development and Application of Artificial Intelligence in Scientific Text
    James Dunham, Jennifer Melot, Dewey Murdick
    http://arxiv.org/abs/2002.07143v1

    • [cs.DS](Individual) Fairness for $k$-Clustering
    Sepideh Mahabadi, Ali Vakilian
    http://arxiv.org/abs/2002.06742v1

    • [cs.GT]From Matching with Diversity Constraints to Matching with Regional Quotas
    Haris Aziz, Serge Gaspers, Zhaohong Sun, Toby Walsh
    http://arxiv.org/abs/2002.06748v1

    • [cs.GT]Pipeline Interventions
    Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
    http://arxiv.org/abs/2002.06592v1

    • [cs.HC]Designing Interaction for Multi-agent Cooperative System in an Office Environment
    Chao Wang, Stephan Hasler, Manuel Muehlig, Frank Joublin, Antonello Ceravola, Joerg Deigmoeller, Lydia Fischer
    http://arxiv.org/abs/2002.06417v1

    • [cs.IR]Attentive Item2Vec: Neural Attentive User Representations
    Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein
    http://arxiv.org/abs/2002.06205v1

    • [cs.IR]Citation Recommendation: Approaches and Datasets
    Michael Färber, Adam Jatowt
    http://arxiv.org/abs/2002.06961v1

    • [cs.IR]HybridCite: A Hybrid Model for Context-Aware Citation Recommendation
    Michael Färber, Ashwath Sampath
    http://arxiv.org/abs/2002.06406v1

    • [cs.IR]Open Knowledge Enrichment for Long-tail Entities
    Ermei Cao, Difeng Wang, Jiacheng Huang, Wei Hu
    http://arxiv.org/abs/2002.06397v1

    • [cs.IR]Serial Speakers: a Dataset of TV Series
    Xavier Bost, Vincent Labatut, Georges Linares
    http://arxiv.org/abs/2002.06923v1

    • [cs.IR]Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey
    Zahra Abbasiyantaeb, Saeedeh Momtazi
    http://arxiv.org/abs/2002.06612v1

    • [cs.IR]TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval
    Wenhao Lu, Jian Jiao, Ruofei Zhang
    http://arxiv.org/abs/2002.06275v1

    • [cs.IT]Analysis on Computation-Intensive Status Update in Mobile Edge Computing
    Qiaobin Kuang, Jie Gong, Xiang Chen, Xiao Ma
    http://arxiv.org/abs/2002.06400v1

    • [cs.IT]Asymptotically optimal codebooks derived from generalised bent functions
    Qiuyan Wang, Yang Yan, Chenhuang Wu, Chun’e Zhao
    http://arxiv.org/abs/2002.06376v1

    • [cs.IT]Collaborative RF and Lightwave Power Transfer for Next-Generation Wireless Networks
    Ha-Vu Tran, Georges Kaddoum, Chadi Abou-Rjeily
    http://arxiv.org/abs/2002.06618v1

    • [cs.IT]Convex Optimization on Functionals of Probability Densities
    Tomohiro Nishiyama
    http://arxiv.org/abs/2002.06488v1

    • [cs.IT]Deep Learning for Massive MIMO Channel State Acquisition and Feedback
    Mahdi Boloursaz Mashhadi, Deniz Gündüz
    http://arxiv.org/abs/2002.06945v1

    • [cs.IT]Handover Probability in Drone Cellular Networks
    Morteza Banagar, Vishnu Vardhan Chetlur, Harpreet S. Dhillon
    http://arxiv.org/abs/2002.06493v1

    • [cs.IT]Intelligent Reflecting Surface Aided Multiple Access: Capacity Region and Deployment Strategy
    Shuowen Zhang, Rui Zhang
    http://arxiv.org/abs/2002.07091v1

    • [cs.IT]Low-PMEPR Preamble Sequence Design for Dynamic Spectrum Allocation in OFDMA Systems
    Yajing Zhou, Zhengchun Zhou, Zilong Liu, Pingzhi Fan, Yong Liang Guan
    http://arxiv.org/abs/2002.06745v1

    • [cs.IT]New Constructions of Cross Z-Complementary Pairs
    Avik Ranjan Adhikary, Zhengchun Zhou, Yang Yang, Pingzhi Fan
    http://arxiv.org/abs/2002.06529v1

    • [cs.IT]On the dimension of ideals in group algebras, and group codes
    Elias Javier Garcia Claro, Horacio Tapia Recillas
    http://arxiv.org/abs/2002.06407v1

    • [cs.IT]Polarization-adjusted Convolutional (PAC) Codes: Fano Decoding vs List Decoding
    Mohammad Rowshan, Andreas Burg, Emanuele Viterbo
    http://arxiv.org/abs/2002.06805v1

    • [cs.IT]Relativity of Depth and Sophistication
    Charles Alexandre Bédard
    http://arxiv.org/abs/2002.06709v1

    • [cs.IT]The normalized algorithmic information distance can not be approximated
    Bruno Bauwens, Ilya Blinnikov
    http://arxiv.org/abs/2002.06683v1

    • [cs.LG]$π$VAE: Encoding stochastic process priors with variational autoencoders
    Swapnil Mishra, Seth Flaxman, Samir Bhatt
    http://arxiv.org/abs/2002.06873v1

    • [cs.LG]A Sparse Deep Factorization Machine for Efficient CTR prediction
    Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin
    http://arxiv.org/abs/2002.06987v1

    • [cs.LG]A closer look at the approximation capabilities of neural networks
    Kai Fong Ernest Chong
    http://arxiv.org/abs/2002.06505v1

    • [cs.LG]Agnostic Q-learning with Function Approximation in Deterministic Systems: Tight Bounds on Approximation Error and Sample Complexity
    Simon S. Du, Jason D. Lee, Gaurav Mahajan, Ruosong Wang
    http://arxiv.org/abs/2002.07125v1

    • [cs.LG]Algorithmic Recourse: from Counterfactual Explanations to Interventions
    Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
    http://arxiv.org/abs/2002.06278v1

    • [cs.LG]Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
    Chin-Wei Huang, Laurent Dinh, Aaron Courville
    http://arxiv.org/abs/2002.07101v1

    • [cs.LG]BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning
    Yeming Wen, Dustin Tran, Jimmy Ba
    http://arxiv.org/abs/2002.06715v1

    • [cs.LG]BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations
    Hyungjun Kim, Kyungsu Kim, Jinseok Kim, Jae-Joon Kim
    http://arxiv.org/abs/2002.06517v1

    • [cs.LG]CAT: Customized Adversarial Training for Improved Robustness
    Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit Dhillon, Cho-Jui Hsieh
    http://arxiv.org/abs/2002.06789v1

    • [cs.LG]Causal Feature Discovery through Strategic Modification
    Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani
    http://arxiv.org/abs/2002.07024v1

    • [cs.LG]Class-Imbalanced Semi-Supervised Learning
    Minsung Hyun, Jisoo Jeong, Nojun Kwak
    http://arxiv.org/abs/2002.06815v1

    • [cs.LG]Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning
    Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
    http://arxiv.org/abs/2002.06836v1

    • [cs.LG]Controlled time series generation for automotive software-in-the-loop testing using GANs
    Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir
    http://arxiv.org/abs/2002.06611v1

    • [cs.LG]Controlling Computation versus Quality for Neural Sequence Models
    Ankur Bapna, Naveen Arivazhagan, Orhan Firat
    http://arxiv.org/abs/2002.07106v1

    • [cs.LG]Convergence of End-to-End Training in Deep Unsupervised Contrasitive Learning
    Zixin Wen
    http://arxiv.org/abs/2002.06979v1

    • [cs.LG]Correlated Adversarial Imitation Learning
    Ari Azarafrooz
    http://arxiv.org/abs/2002.06476v1

    • [cs.LG]Data and Model Dependencies of Membership Inference Attack
    Shakila Mahjabin Tonni, Farhad Farokhi, Dinusha Vatsalan, Dali Kaafar
    http://arxiv.org/abs/2002.06856v1

    • [cs.LG]Differentiable Bandit Exploration
    Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvari, Manzil Zaheer
    http://arxiv.org/abs/2002.06772v1

    • [cs.LG]Differentiable Top-k Operator with Optimal Transport
    Yujia Xie, Hanjun Dai, Minshuo Chen, Bo Dai, Tuo Zhao, Hongyuan Zha, Wei Wei, Tomas Pfister
    http://arxiv.org/abs/2002.06504v1

    • [cs.LG]Entity Context and Relational Paths for Knowledge Graph Completion
    Hongwei Wang, Hongyu Ren, Jure Leskovec
    http://arxiv.org/abs/2002.06757v1

    • [cs.LG]Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model
    Steve Kommrusch, Théo Barollet, Louis-Noël Pouchet
    http://arxiv.org/abs/2002.06799v1

    • [cs.LG]Fair Principal Component Analysis and Filter Design
    Gad Zalcberg, Ami Wiesel
    http://arxiv.org/abs/2002.06557v1

    • [cs.LG]Federated Learning with Matched Averaging
    Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris Papailiopoulos, Yasaman Khazaeni
    http://arxiv.org/abs/2002.06440v1

    • [cs.LG]First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning
    Yiming Zhang, Qu
    275
    an Vuong, Keith W. Ross
    http://arxiv.org/abs/2002.06506v1

    • [cs.LG]Generalized Embedding Machines for Recommender Systems
    Enneng Yang, Xin Xin, Li Shen, Guibing Guo
    http://arxiv.org/abs/2002.06561v1

    • [cs.LG]Handling Missing Annotations in Supervised Learning Data
    Alaa E. Abdel-Hakim, Wael Deabes
    http://arxiv.org/abs/2002.07113v1

    • [cs.LG]Hold me tight! Influence of discriminative features on deep network boundaries
    Guillermo Ortiz-Jimenez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
    http://arxiv.org/abs/2002.06349v1

    • [cs.LG]Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank
    Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
    http://arxiv.org/abs/2002.06914v1

    • [cs.LG]Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
    Guy Davidson, Brenden M. Lake
    http://arxiv.org/abs/2002.06703v1

    • [cs.LG]Investigating the Compositional Structure Of Deep Neural Networks
    Francesco Craighero, Fabrizio Angaroni, Alex Graudenzi, Fabio Stella, Marco Antoniotti
    http://arxiv.org/abs/2002.06967v1

    • [cs.LG]Jelly Bean World: A Testbed for Never-Ending Learning
    Emmanouil Antonios Platanios, Abulhair Saparov, Tom Mitchell
    http://arxiv.org/abs/2002.06306v1

    • [cs.LG]Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
    Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang
    http://arxiv.org/abs/2002.06768v1

    • [cs.LG]Latent Variable Modelling with Hyperbolic Normalizing Flows
    Avishek Joey Bose, Ariella Smofsky, Renjie Liao, Prakash Panangaden, William L. Hamilton
    http://arxiv.org/abs/2002.06336v1

    • [cs.LG]Learning Adaptive Loss for Robust Learning with Noisy Labels
    Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng
    http://arxiv.org/abs/2002.06482v1

    • [cs.LG]Learning Group Structure and Disentangled Representations of Dynamical Environments
    Robin Quessard, Thomas D. Barrett, William R. Clements
    http://arxiv.org/abs/2002.06991v1

    • [cs.LG]Learning Individually Fair Classifier with Causal-Effect Constraint
    Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino
    http://arxiv.org/abs/2002.06746v1

    • [cs.LG]Learning Not to Learn in the Presence of Noisy Labels
    Liu Ziyin, Blair Chen, Ru Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda
    http://arxiv.org/abs/2002.06541v1

    • [cs.LG]Learning Robust Representations via Multi-View Information Bottleneck
    Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
    http://arxiv.org/abs/2002.07017v1

    • [cs.LG]Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
    Qiaomin Xie, Yudong Chen, Zhaoran Wang, Zhuoran Yang
    http://arxiv.org/abs/2002.07066v1

    • [cs.LG]Let Me At Least Learn What You Really Like: Dealing With Noisy Humans When Learning Preferences
    Sriram Gopalakrishnan, Utkarsh Soni
    http://arxiv.org/abs/2002.06288v1

    • [cs.LG]Loop estimator for discounted values in Markov reward processes
    Falcon Z. Dai, Matthew R. Walter
    http://arxiv.org/abs/2002.06299v1

    • [cs.LG]Low-Rank Bottleneck in Multi-head Attention Models
    Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat, Sashank J. Reddi, Sanjiv Kumar
    http://arxiv.org/abs/2002.07028v1

    • [cs.LG]MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC)
    Chiranjib Sur
    http://arxiv.org/abs/2002.06436v1

    • [cs.LG]Manifold-based Test Generation for Image Classifiers
    Taejoon Byun, Abhishek Vijayakumar, Sanjai Rayadurgam, Darren Cofer
    http://arxiv.org/abs/2002.06337v1

    • [cs.LG]Mapping Motor Cortex Stimulation to Muscle Responses: A Deep Neural Network Modeling Approach
    Md Navid Akbar, Mathew Yarossi, Marc Martinez-Gost, Marc A. Sommer, Moritz Dannhauer, Sumientra Rampersad, Dana Brooks, Eugene Tunik, Deniz Erdoğmuş
    http://arxiv.org/abs/2002.06250v1

    • [cs.LG]Multi-Class Classification from Noisy-Similarity-Labeled Data
    Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
    http://arxiv.org/abs/2002.06508v1

    • [cs.LG]Multi-Task Multicriteria Hyperparameter Optimization
    Kirill Akhmetzyanov, Alexander Yuzhakov
    http://arxiv.org/abs/2002.06372v1

    • [cs.LG]Multiple Flat Projections for Cross-manifold Clustering
    Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
    http://arxiv.org/abs/2002.06739v1

    • [cs.LG]Neural Architecture Search over Decentralized Data
    Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Qiaozhu Mei, Xuanzhe Liu
    http://arxiv.org/abs/2002.06352v1

    • [cs.LG]Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
    Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang
    http://arxiv.org/abs/2002.06286v1

    • [cs.LG]On Coresets for Support Vector Machines
    Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus
    http://arxiv.org/abs/2002.06469v1

    • [cs.LG]Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
    Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora
    http://arxiv.org/abs/2002.06668v1

    • [cs.LG]Performative Prediction
    Juan C. Perdomo, Tijana Zrnic, Celestine Mendler-Dünner, Moritz Hardt
    http://arxiv.org/abs/2002.06673v1

    • [cs.LG]Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
    Charles H. Martin, Tongsu, Peng, Michael W. Mahoney
    http://arxiv.org/abs/2002.06716v1

    • [cs.LG]Quantum Bandits
    Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola
    http://arxiv.org/abs/2002.06395v1

    • [cs.LG]REST: Performance Improvement of a Black Box Model via RL-based Spatial Transformation
    Jae Myung Kim, Hyungjin Kim, Chanwoo Park, Jungwoo Lee
    http://arxiv.org/abs/2002.06610v1

    • [cs.LG]Reinforcement learning for the manipulation of eye tracking data
    Wolfgang Fuhl
    http://arxiv.org/abs/2002.06806v1

    • [cs.LG]Residual Continual Learning
    Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
    http://arxiv.org/abs/2002.06774v1

    • [cs.LG]Resource Management in Wireless Networks via Multi-Agent Deep Reinforcement Learning
    Navid Naderializadeh, Jaroslaw Sydir, Meryem Simsek, Hosein Nikopour
    http://arxiv.org/abs/2002.06215v1

    • [cs.LG]Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning
    Zhenyu Shou, Xuan Di
    http://arxiv.org/abs/2002.06723v1

    • [cs.LG]Robustness Verification for Transformers
    Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
    http://arxiv.org/abs/2002.06622v1

    • [cs.LG]Scalable Quantitative Verification For Deep Neural Networks
    Teodora Baluta, Zheng Leong Chua, Kuldeep S. Meel, Prateek Saxena
    http://arxiv.org/abs/2002.06864v1

    • [cs.LG]Subset Sampling For Progressive Neural Network Learning
    Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
    http://arxiv.org/abs/2002.07141v1

    • [cs.LG]TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL
    Yanchao Sun, Xiangyu Yin, Furong Huang
    http://arxiv.org/abs/2002.06659v1

    • [cs.LG]Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing
    Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo
    http://arxiv.org/abs/2002.07033v1

    • [cs.LG]Unifying Graph Convolutional Neural Networks and Label Propagation
    Hongwei Wang, Jure Leskovec
    http://arxiv.org/abs/2002.06755v1

    • [cs.LG]Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
    Yannick Schroecker, Charles Isbell
    http://arxiv.org/abs/2002.06473v1

    • [cs.LG]Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
    Micah Goldblum, Steven Reich, Liam Fowl, Renkun Ni, Valeriia Cherepanova, Tom Goldstein
    http://arxiv.org/abs/2002.06753v1

    • [cs.LG]t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections
    Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
    http://arxiv.org/abs/2002.06910v1

    • [cs.LO]Learning to Prove Theorems by Learning to Generate Theorems
    Mingzhe Wang, Jia Deng
    http://arxiv.org/abs/2002.07019v1

    • [cs.MA]R-MADDPG for Partially Observable Environments and Limited Communication
    Rose E. Wang, Michael Everett, Jonathan P. How
    http://arxiv.org/abs/2002.06684v1

    • [cs.MS]Computing rank-revealing factorizations of matrices stored out-of-core
    Nathan Heavner, Per-Gunnar Martinsson, Gregorio Quintana-Ortí
    http://arxiv.org/abs/2002.06960v1

    • [cs.NE]Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
    Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan
    http://arxiv.org/abs/2002.06199v1

    • [cs.NE]Evolutionary Bi-objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives
    Hirad Assimi, Oscar Harper, Yue Xie, Aneta Neumann, Frank Neumann
    http://arxiv.org/abs/2002.06766v1

    • [cs.NE]Memristive Properties of Mushrooms
    Alexander E. Beasley, Anna L. Powell, Andrew Adamatzky
    http://arxiv.org/abs/2002.06413v1

    • [cs.RO]3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans
    Antoni Rosinol, Arjun Gupta, Marcus Abate, Jingnan Shi, Luca Carlone
    http://arxiv.org/abs/2002.06289v1

    • [cs.RO]A Robust Model-Based Biped Locomotion Framework Based on Three-Mass Model: From Planning to Control
    Mohammadreza Kasaei, Ali Ahmadi, Nuno Lau, Artur Pereira
    http://arxiv.org/abs/2002.06888v1

    • [cs.RO]**Adaptively Informed Trees (AIT): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics
    Marlin P. Strub, Jonathan D. Gammell
    http://arxiv.org/abs/2002.06599v1

    • [cs.RO]Advanced BIT (ABIT): Sampling-Based Planning with Advanced Graph-Search Techniques
    Marlin P. Strub, Jonathan D. Gammell
    http://arxiv.org/abs/2002.06589v1

    • [cs.RO]Applying Depth-Sensing to Automated Surgical Manipulation with a da Vinci Robot
    Minho Hwang, Daniel Seita, Brijen Thananjeyan, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
    http://arxiv.org/abs/2002.06302v1

    • [cs.RO]Learning Pregrasp Manipulation of Objects from Ungraspable Poses
    Zhaole Sun, Kai Yuan, Wenbin Hu, Chuanyu Yang, Zhibin Li
    http://arxiv.org/abs/2002.06344v1

    • [cs.RO]Map-less Navigation: A Single DRL-based Controller for Robots with Varied Dimensions
    Wei Zhang, Yunfeng Zhang, Ning Liu
    http://arxiv.org/abs/2002.06320v1

    • [cs.RO]Nonlinear MPC with Motor Failure Identification and Recovery for Safe and Aggressive Multicopter Flight
    Dimos Tzoumanikas, Qingyue Yan, Stefan Leutenegger
    http://arxiv.org/abs/2002.06598v1

    • [cs.RO]On sensing-aware model predictive path-following control for a reversing general 2-trailer with a car-like tractor
    Oskar Ljungqvist, Daniel Axehill, Henrik Pettersson
    http://arxiv.org/abs/2002.06874v1

    • [cs.RO]Reliable Trajectories for Dynamic Quadrupeds using Analytical Costs and Learned Initializations
    Oliwier Melon, Mathieu Geisert, David Surovik, Ioannis Havoutis, Maurice Fallon
    http://arxiv.org/abs/2002.06719v1

    • [cs.SD]Meta-learning Extractors for Music Source Separation
    David Samuel, Aditya Ganeshan, Jason Naradowsky
    http://arxiv.org/abs/2002.07016v1

    • [cs.SI]A Fast Counting Method for 6-motifs with Low Connectivity
    Taha Sevim, Muhammet Selçuk Güvel, Lale Özkahya
    http://arxiv.org/abs/2002.06957v1

    • [cs.SI]Convolutional Neural Networks for Sentiment Analysis in Persian Social Media
    Morteza Rohanian, Mostafa Salehi, Ali Darzi, Vahid Ranjbar
    http://arxiv.org/abs/2002.06233v1

    • [cs.SI]Global and Local Feature Learning for Ego-Network Analysis
    Fatemeh Salehi Rizi, Michael Granitzer, Konstantin Ziegler
    http://arxiv.org/abs/2002.06685v1

    • [cs.SI]It is not just about the Melody: How Europe Votes for its Favorite Songs
    Anej Svete, Jakob Hostnik
    http://arxiv.org/abs/2002.06609v1

    • [cs.SI]Modeling Citation Trajectories of Scientific Papers
    Dattatreya Mohapatra, Siddharth Pal, Soham De, Ponnurangam Kumaraguru, Tanmoy Chakraborty
    http://arxiv.org/abs/2002.06628v1

    • [cs.SI]Predicting event attendance exploring social influence
    Fatemeh Salehi Rizi, Michael Granitzer
    http://arxiv.org/abs/2002.06665v1

    • [cs.SI]Scalable Dyadic Independence Models with Local and Global Constraints
    Florian Adriaens, Alexandru Mara, Jefrey Lijffijt, Tijl De Bie
    http://arxiv.org/abs/2002.07076v1

    • [cs.SI]What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions
    Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst
    http://arxiv.org/abs/2002.06885v1

    • [eess.IV]4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
    Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer
    http://arxiv.org/abs/2002.07089v1

    • [eess.IV]Automatic Frame Selection using CNN in Ultrasound Elastography
    Abdelrahman Zayed, Guy Cloutier, Hassan Rivaz
    http://arxiv.org/abs/2002.06734v1

    • [eess.IV]Automatic lesion segmentation and Pathological Myopia classification in fundus images
    Cefas Rodrigues Freire, Julio Cesar da Costa Moura, Daniele Montenegro da Silva Barros, Ricardo Alexsandro de Medeiros Valentim
    http://arxiv.org/abs/2002.06382v1

    • [eess.IV]Large-scale biometry with interpretable neural network regression on UK Biobank body MRI
    Taro Langner, Håkan Ahlström, Joel Kullberg
    http://arxiv.org/abs/2002.06862v1

    • [eess.IV]Seeing Around Corners with Edge-Resolved Transient Imaging
    Joshua Rapp, Charles Saunders, Julián Tachella, John Murray-Bruce, Yoann Altmann, Jean-Yves Tourneret, Stephen McLaughlin, Robin M. A. Dawson, Franco N. C. Wong, Vivek K Goyal
    http://arxiv.org/abs/2002.07118v1

    • [eess.SP]Channel Estimation for RIS-Aided mmWave MIMO Channels
    Jiguang He, Markus Leinonen, Henk Wymeersch, Markku Juntti
    http://arxiv.org/abs/2002.06453v1

    • [math.MG]On the Search for Tight Frames of Low Coherence
    Xuemei Chen, Douglas P. Hardin, Edward B. Saff
    http://arxiv.org/abs/2002.06452v1

    • [math.OC]A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
    Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
    http://arxiv.org/abs/2002.07003v1

    • [math.PR]Approximation Bounds for Random Neural Networks and Reservoir Systems
    Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega
    http://arxiv.org/abs/2002.05933v1

    • [math.PR]Least squares estimation for non-ergodic weighted fractional Ornstein-Uhlenbeck process of general parameters
    Abdulaziz Alsenafi, Mishari Al-Foraih, Khalifa Es-Sebaiy
    http://arxiv.org/abs/2002.06861v1

    • [math.ST]Conditional Shannon, Réyni, and Tsallis entropies estimation and asymptotic limits: discrete case
    Ba Amadou Diadie, Lo Gane Samb
    http://arxiv.org/abs/2002.06516v1

    • [math.ST]Consistency of the PLFit estimator for power-law data
    Ayan Bhattacharya, Bohan Chen, Remco van der Hofstad, Bert Zwart
    http://arxiv.org/abs/2002.06870v1

    • [math.ST]Density estimation using Dirichlet kernels
    Frédéric Ouimet
    http://arxiv.org/abs/2002.06956v1

    • [math.ST]Further Inference on Categorical Data — A Bayesian Approach
    Samyajoy Pal, Prof. Dr. Christian Heumann, Dr. M. Subbiah
    http://arxiv.org/abs/2002.06439v1

    • [math.ST]Gaussian Prepivoting for Finite Population Causal Inference
    Peter L. Cohen, Colin B. Fogarty
    http://arxiv.org/abs/2002.06654v1

    • [math.ST]Holes in Bayesian Statistics
    Andrew Gelman, Yuling Yao
    http://arxiv.org/abs/2002.06467v1

    • [math.ST]Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
    Zijun Gao, Yanjun Han
    http://arxiv.org/abs/2002.06471v1

    • [math.ST]On efficient adjustment in causal graphs
    Janine Witte, Leonard Henckel, Marloes H. Maathuis, Vanessa Didelez
    http://arxiv.org/abs/2002.06825v1

    • [physics.soc-ph]Knowledge and Social Relatedness Shape Research Portfolio Diversification
    Giorgio Tripodi, Francesca Chiaromonte, Fabrizio Lillo
    http://arxiv.org/abs/2002.06419v1

    • [q-bio.QM]The Synthesizability of Molecules Proposed by Generative Models
    Wenhao Gao, Connor W. Coley
    http://arxiv.org/abs/2002.07007v1

    • [q-fin.ST]Deep Learning for Asset Bubbles Detection
    Oksana Bashchenko, Alexis Marchal
    http://arxiv.org/abs/2002.06405v1

    • [quant-ph]Non-additivity in classical-quantum wiretap channels
    Arkin Tikku, Mario Berta, Joseph M. Renes
    http://arxiv.org/abs/2002.06580v1

    • [quant-ph]Refined Belief Propagation Decoding of Sparse-Graph Quantum Codes
    Kao-Yueh Kuo, Ching-Yi Lai
    http://arxiv.org/abs/2002.06502v1

    • [stat.AP]A Robust Statistical method to Estimate the Intervention Effect with Longitudinal Data
    Mohammad M. Islam, Ph. D., Erik L. Heiny, Ph. D
    http://arxiv.org/abs/2002.06322v1

    • [stat.AP]Bayesian Spatial Homogeneity Pursuit of Functional Data: an Application to the U.S. Income Distribution
    Guanyu Hu, Junxian Geng, Yishu Xue, Huiyan Sang
    http://arxiv.org/abs/2002.06663v1

    • [stat.AP]Statistical Simulator for the Engine Knock
    Xun Shen, Tinghui Ouyang, Jiancang Zhuang, Chanyut Khajorntraidet
    http://arxiv.org/abs/2002.06503v1

    • [stat.AP]Understanding the spatial burden of gender-based violence: Modelling patterns of violence in Nairobi, Kenya through geospatial information
    Rina Friedberg, Clea Sarnquist, Gavin Nyairo, Mary Amuyunzu-Nyamongo, Michael Baiocchi
    http://arxiv.org/abs/2002.06710v1

    • [stat.CO]Optimization-Based MCMC Methods for Nonlinear Hierarchical Statistical Inverse Problems
    Johnathan Bardsley, Tiangang Cui
    http://arxiv.org/abs/2002.06358v1

    • [stat.ME]A Bayesian time-to-event pharmacokinetic model for phase I dose-escalation trials with multiple schedules
    Burak Kürsad Günhan, Sebastian Weber, Tim Friede
    http://arxiv.org/abs/2002.06204v1

    • [stat.ME]A Divide and Conquer Algorithm of Bayesian Density Estimation
    Ya Su
    http://arxiv.org/abs/2002.07094v1

    • [stat.ME]A Stein Goodness-of-fit Test for Directional Distributions
    Wenkai Xu, Takeru Matsuda
    http://arxiv.org/abs/2002.06843v1

    • [stat.ME]A principled distance-based prior for the shape of the Weibull model
    Janet van Niekerk, Haakon Bakka, Haavard Rue
    http://arxiv.org/abs/2002.06519v1

    • [stat.ME]Bayesian Spatial Homogeneity Pursuit Regression for Count Value Data
    Peng Zhao, Hou-Cheng Yang, Dipak K. Dey, Guanyu Hu
    http://arxiv.org/abs/2002.06678v1

    • [stat.ME]Bayesian Structure Learning in Multi-layered Genomic Networks
    Min Jin Ha, Francesco Stingo, Veerabhadran Baladandayuthapani
    http://arxiv.org/abs/2002.07122v1

    • [stat.ME]Combining Observational and Experimental Datasets Using Shrinkage Estimators
    Evan Rosenman, Guillaume Basse, Art Owen, Michael Baiocchi
    http://arxiv.org/abs/2002.06708v1

    • [stat.ME]Regression-based Negative Control of Homophily in Dyadic Peer Effect Analysis
    Lan Liu, Eric Tchetgen Tchetgen
    http://arxiv.org/abs/2002.06521v1

    • [stat.ME]Seeded Binary Segmentation: A general methodology for fast and optimal change point detection
    Solt Kovács, Housen Li, Peter Bühlmann, Axel Munk
    http://arxiv.org/abs/2002.06633v1

    • [stat.ML]Active Bayesian Assessment for Black-Box Classifiers
    Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers
    http://arxiv.org/abs/2002.06532v1

    • [stat.ML]Adaptive Experience Selection for Policy Gradient
    Saad Mohamad, Giovanni Montana
    http://arxiv.org/abs/2002.06946v1

    • [stat.ML]Convex Fairness Constrained Model Using Causal Effect Estimators
    Hikaru Ogura, Akiko Takeda
    http://arxiv.org/abs/2002.06501v1

    • [stat.ML]Distributed Averaging Methods for Randomized Second Order Optimization
    Burak Bartan, Mert Pilanci
    http://arxiv.org/abs/2002.06540v1

    • [stat.ML]Extreme Classification via Adversarial Softmax Approximation
    Robert Bamler, Stephan Mandt
    http://arxiv.org/abs/2002.06298v1

    • [stat.ML]Higher order co-occurrence tensors for hypergraphs via face-splitting
    Bryan Bischof
    http://arxiv.org/abs/2002.06285v1

    • [stat.ML]Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
    Arsenii Ashukha, Alexander Lyzhov, Dmitry Molchanov, Dmitry Vetrov
    http://arxiv.org/abs/2002.06470v1

    • [stat.ML]Posterior Ratio Estimation for Latent Variables
    Yulong Zhang, Mingxuan Yi, Song Liu, Mladen Kolar
    http://arxiv.org/abs/2002.06410v1

    • [stat.ML]Stochastic Normalizing Flows
    Hao Wu, Jonas Köhler, Frank Noé
    http://arxiv.org/abs/2002.06707v1

    • [stat.ML]Structures of Spurious Local Minima in $k$-means
    Wei Qian, Yuqian Zhang, Yudong Chen
    http://arxiv.org/abs/2002.06694v1

    • [stat.ML]Tensor denoising and completion based on ordinal observations
    Chanwoo Lee, Miaoyan Wang
    http://arxiv.org/abs/2002.06524v1