astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.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.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 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.comp-ph - 计算物理学 physics.med-ph - 医学物理学 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks
• [cs.AI]Automated simulation and verification of process models discovered by process mining
• [cs.AI]Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
• [cs.AI]Goal recognition via model-based and model-free techniques
• [cs.AI]Incorporating Rivalry in Reinforcement Learning for a Competitive Game
• [cs.AI]Loss Bounds for Approximate Influence-Based Abstraction
• [cs.AI]MAIRE — A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
• [cs.AI]Pairwise Relations Discriminator for Unsupervised Raven’s Progressive Matrices
• [cs.AI]Provenance-Based Assessment of Plans in Context
• [cs.AI]Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering
• [cs.AI]Valuing Player Actions in Counter-Strike: Global Offensive
• [cs.CC]The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS
• [cs.CC]The Long, the Short and the Random
• [cs.CL]A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News
• [cs.CL]AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings
• [cs.CL]Automatic Detection of Machine Generated Text: A Critical Survey
• [cs.CL]Biased TextRank: Unsupervised Graph-Based Content Extraction
• [cs.CL]BioNerFlair: biomedical named entity recognition using flair embedding and sequence tagger
• [cs.CL]CharBERT: Character-aware Pre-trained Language Model
• [cs.CL]Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment
• [cs.CL]Cross-lingual Word Embeddings beyond Zero-shot Machine Translation
• [cs.CL]DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
• [cs.CL]Data-to-Text Generation with Iterative Text Editing
• [cs.CL]DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
• [cs.CL]Decoupling entrainment from consistency using deep neural networks
• [cs.CL]Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
• [cs.CL]Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
• [cs.CL]Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
• [cs.CL]How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$’$s Attention
• [cs.CL]Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
• [cs.CL]Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
• [cs.CL]Joint Entity and Relation Extraction with Set Prediction Networks
• [cs.CL]Layer-Wise Multi-View Learning for Neural Machine Translation
• [cs.CL]Meta-Learning for Natural Language Understanding under Continual Learning Framework
• [cs.CL]Modeling Event Salience in Narratives via Barthes’ Cardinal Functions
• [cs.CL]QMUL-SDS @ SardiStance2020: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
• [cs.CL]Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments
• [cs.CL]Semi-Supervised Cleansing of Web Argument Corpora
• [cs.CL]Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation
• [cs.CL]Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
• [cs.CL]The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
• [cs.CL]Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction
• [cs.CL]Towards Code-switched Classification Exploiting Constituent Language Resources
• [cs.CL]TransQuest: Translation Quality Estimation with Cross-lingual Transformers
• [cs.CL]WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization
• [cs.CL]Warped Language Models for Noise Robust Language Understanding
• [cs.CL]Weakly- and Semi-supervised Evidence Extraction
• [cs.CL]XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
• [cs.CR]A position paper on GDPR compliance in sharded blockchains: rehash of old ideas or new interesting challenges?
• [cs.CR]Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
• [cs.CR]Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption
• [cs.CV]”You eat with your eyes first”: Optimizing Yelp Image Advertising
• [cs.CV]3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation
• [cs.CV]A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
• [cs.CV]A spatial hue similarity measure for assessment of colourisation
• [cs.CV]Attention Beam: An Image Captioning Approach
• [cs.CV]BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
• [cs.CV]Content-based Analysis of the Cultural Differences between TikTok and Douyin
• [cs.CV]Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
• [cs.CV]CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing
• [cs.CV]Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
• [cs.CV]Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea
• [cs.CV]Distribution-aware Margin Calibration for Medical Image Segmentation
• [cs.CV]Dual Attention on Pyramid Feature Maps for Image Captioning
• [cs.CV]Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
• [cs.CV]Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion
• [cs.CV]In Defense of Feature Mimicking for Knowledge Distillation
• [cs.CV]Kernel Two-Dimensional Ridge Regression for Subspace Clustering
• [cs.CV]Learning Deformable Tetrahedral Meshes for 3D Reconstruction
• [cs.CV]Learning Effective Representations from Global and Local Features for Cross-View Gait Recognition
• [cs.CV]Learning Representations from Audio-Visual Spatial Alignment
• [cs.CV]Learning Visual Representations for Transfer Learning by Suppressing Texture
• [cs.CV]Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix
• [cs.CV]Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI
• [cs.CV]Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
• [cs.CV]Out-of-Distribution Detection for Automotive Perception
• [cs.CV]PV-NAS: Practical Neural Architecture Search for Video Recognition
• [cs.CV]Parameter Efficient Deep Neural Networks with Bilinear Projections
• [cs.CV]RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
• [cs.CV]Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering
• [cs.CV]Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery
• [cs.CV]Revisiting Adaptive Convolutions for Video Frame Interpolation
• [cs.CV]SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
• [cs.CV]Semi-supervised AU Intensity Estimation with Contrastive Learning
• [cs.CV]The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
• [cs.CV]Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification
• [cs.CV]Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints
• [cs.CV]VEGA: Towards an End-to-End Configurable AutoML Pipeline
• [cs.CV]Wheat Crop Yield Prediction Using Deep LSTM Model
• [cs.CY]An Incentive Based Approach for COVID-19 using Blockchain Technology
• [cs.CY]Economic Principles of PoPCoin, a Democratic Time-based Cryptocurrency
• [cs.CY]NSF Convergence Approach to Transition Basic Research into Practice
• [cs.CY]NationalMood: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
• [cs.CY]Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health
• [cs.DC]A Scenario-Based Development Framework for Autonomous Driving
• [cs.DC]AWARE: Adaptive Wide-Area Replication for Fast and Resilient Byzantine Consensus
• [cs.DC]Balanced Partitioning of Several Cache-Oblivious Algorithms
• [cs.DC]Distributed Machine Learning for Computational Engineering using MPI
• [cs.DC]Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters — an Experimental Study
• [cs.DC]FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS
• [cs.DC]Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems
• [cs.DC]Solving large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs: performance comparisons of MPGOS, ODEINT and DifferentialEquations.jl
• [cs.DL]Growth and dynamics of Econophysics: A bibliometric and network analysis
• [cs.DS]Formal Validation of Recursive Backtracking Algorithms: The Case of Listing Stable Extensions in the Directed Graphs of Argumentation Frameworks
• [cs.GT]On Singleton Congestion Games with Resilience Against Collusion
• [cs.IR]AI Marker-based Large-scale AI Literature Mining
• [cs.IR]CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
• [cs.IR]Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic
• [cs.IR]Participation in TREC 2020 COVID Track Using Continuous Active Learning
• [cs.IR]RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
• [cs.IT]Asymmetric Interference Cancellation for 5G Non-Public Network with Uplink-Downlink Spectrum Sharing
• [cs.IT]Codes from the Incidence Matrices of a zero-divisor Graphs
• [cs.IT]Compressed Sensing with Upscaled Vector Approximate Message Passing
• [cs.IT]Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV
• [cs.IT]Error- and Tamper-Tolerant State Estimation for Discrete Event Systems under Cost Constraints
• [cs.IT]Gradient Coding with Dynamic Clustering for Straggler Mitigation
• [cs.IT]Joint Energy Harvest and Information Transfer for Energy Beamforming in Backscatter Multiuser Networks
• [cs.IT]Nonexistence of perfect permutation codes under the Kendall τ-metric
• [cs.IT]On the Relevance-Complexity Region of Scalable Information Bottleneck
• [cs.IT]Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems
• [cs.LG]A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
• [cs.LG]A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations
• [cs.LG]A Study of Policy Gradient on a Class of Exactly Solvable Models
• [cs.LG]Amortized Variational Deep Q Network
• [cs.LG]An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
• [cs.LG]Analytical aspects of non-differentiable neural networks
• [cs.LG]Autoencoding Features for Aviation Machine Learning Problems
• [cs.LG]Brain Predictability toolbox: a Python library for neuroimaging based machine learning
• [cs.LG]Classifier Pool Generation based on a Two-level Diversity Approach
• [cs.LG]Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model
• [cs.LG]Coresets for Regressions with Panel Data
• [cs.LG]Cortex: A Compiler for Recursive Deep Learning Models
• [cs.LG]Deep Joint Transmission-Recognition for Multi-View Cameras
• [cs.LG]Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time
• [cs.LG]Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks
• [cs.LG]Ensuring Dataset Quality for Machine Learning Certification
• [cs.LG]Episodic Linear Quadratic Regulators with Low-rank Transitions
• [cs.LG]Estimating decision tree learnability with polylogarithmic sample complexity
• [cs.LG]Exact Asymptotics for Linear Quadratic Adaptive Control
• [cs.LG]Exemplar Guided Active Learning
• [cs.LG]Frequency-compensated PINNs for Fluid-dynamic Design Problems
• [cs.LG]GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
• [cs.LG]Generalization to New Actions in Reinforcement Learning
• [cs.LG]Generating Unobserved Alternatives: A Case Study through Super-Resolution and Decompression
• [cs.LG]IOS: Inter-Operator Scheduler for CNN Acceleration
• [cs.LG]Impact of Community Structure on Consensus Machine Learning
• [cs.LG]Learning on Attribute-Missing Graphs
• [cs.LG]Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
• [cs.LG]MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks
• [cs.LG]Meta-learning Transferable Representations with a Single Target Domain
• [cs.LG]Modular-Relatedness for Continual Learning
• [cs.LG]Multi-armed Bandits with Cost Subsidy
• [cs.LG]Optimal Policies for the Homogeneous Selective Labels Problem
• [cs.LG]Optimizing Molecules using Efficient Queries from Property Evaluations
• [cs.LG]Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
• [cs.LG]Problems using deep generative models for probabilistic audio source separation
• [cs.LG]Random Walk Bandits
• [cs.LG]Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
• [cs.LG]Representation Matters: Improving Perception and Exploration for Robotics
• [cs.LG]Robust Latent Representations via Cross-Modal Translation and Alignment
• [cs.LG]SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions
• [cs.LG]Sampling and Recovery of Graph Signals based on Graph Neural Networks
• [cs.LG]Self-semi-supervised Learning to Learn from NoisyLabeled Data
• [cs.LG]Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI
• [cs.LG]Specialization in Hierarchical Learning Systems
• [cs.LG]Tabular Transformers for Modeling Multivariate Time Series
• [cs.LG]Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
• [cs.LG]Towards a Universal Gating Network for Mixtures of Experts
• [cs.LG]Training Wake Word Detection with Synthesized Speech Data on Confusion Words
• [cs.LG]Transforming Gaussian Processes With Normalizing Flows
• [cs.LG]Useful Policy Invariant Shaping from Arbitrary Advice
• [cs.NI]Multi-level Forwarding and Scheduling Recovery Algorithm in Rapidly-changing Network for Erasure-coded Clusters
• [cs.RO]A Dynamics Simulator for Soft Growing Robots
• [cs.RO]A Laser-based Dual-arm System for Precise Control of Collaborative Robots
• [cs.RO]Communication-Aware Multi-robot Coordination with Submodular Maximization
• [cs.RO]Contact Mode Guided Sampling-Based Planning for Quasistatic Dexterous Manipulation in 2D
• [cs.RO]Design Paradigms Based on Spring Agonists for Underactuated Robot Hands: Concepts and Application
• [cs.RO]Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
• [cs.RO]Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts
• [cs.RO]Equality Constrained Linear Optimal Control With Factor Graphs
• [cs.RO]Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning
• [cs.RO]Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback
• [cs.RO]Hybrid Visual Servoing Tracking Control of Uncalibrated Robotic Systems for Dynamic Dwarf Culture Orchards Harvest
• [cs.RO]Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations
• [cs.RO]Kinodynamic Motion Planning for Multi-Legged Robot Jumping via Mixed-Integer Convex Program
• [cs.RO]Leaf-like Origami with Bistability for Self-Adaptive Grasping Motions
• [cs.RO]Learning Barrier Functions with Memory for Robust Safe Navigation
• [cs.RO]Non-linear Hysteresis Compensation of a Tendon-sheath-driven Robotic Manipulator using Motor Current
• [cs.RO]Planning for Aerial Robot Teams for Wide-Area Biometric and Phenotypic Data Collection
• [cs.RO]Policy Transfer via Kinematic Domain Randomization and Adaptation
• [cs.RO]Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues
• [cs.RO]Risk-Sensitive Path Planning via CVaR Barrier Functions: Application to Bipedal Locomotion
• [cs.RO]Safe, Passive Control for Mechanical Systems with Application to Physical Human-Robot Interactions
• [cs.RO]Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning
• [cs.RO]Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
• [cs.RO]Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition
• [cs.RO]Trajectory Generation with Fast Lidar-based 3D Collision Avoidance for Agile MAVs
• [cs.RO]Vision-Based Control for Robots by a Fully Spiking Neural System Relying on Cerebellar Predictive Learning
• [cs.RO]Where am I? SLAM for Mobile Machines on A Smart Working Site
• [cs.SD]A Two-Stage Approach to Device-Robust Acoustic Scene Classification
• [cs.SD]ShaneRun System Description to VoxCeleb Speaker Recognition Challenge 2020
• [cs.SD]Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation
• [cs.SD]Small footprint Text-Independent Speaker Verification for Embedded Systems
• [cs.SE]Turning Software Engineers into AI Engineers
• [cs.SI]A Multi-aspect Analysis of Gender Bias on Online Student Evaluations
• [cs.SI]Blocking Adversarial Influence in Social Networks
• [cs.SI]Centrality Measures: A Tool to Identify Key Actors in Social Networks
• [cs.SI]Deception and the Strategy of Influence
• [cs.SI]Embedding Node Structural Role Identity into Hyperbolic Space
• [cs.SI]GAGE: Geometry Preserving Attributed Graph Embeddings
• [cs.SI]Incorporating User-Comment Graph for Fake News Detection
• [cs.SI]Model of Trust Management for Digital Industry Services. Towards E-Commerce 4.0
• [cs.SI]Prediction of USA November 2020 Election Results Using Multifactor Twitter Data Analysis Method
• [cs.SI]Quadratic Optimization based Clique Expansion for Overlapping Community Detection
• [econ.GN]Synthetic Data Generation for Economists
• [eess.AS]StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization
• [eess.IV]Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images
• [eess.IV]Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
• [eess.IV]Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting
• [eess.SP]Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications
• [eess.SY]An approach to measure route quality and refine the route during the voyage using characteristic coefficients
• [math.OC]A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
• [math.OC]Federated LQR: Learning through Sharing
• [math.OC]Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance
• [math.ST]A review on minimax rates in change point detection and localisation
• [math.ST]Asymptotic Theory of Expectile Neural Networks
• [math.ST]Convergence of Graph Laplacian with kNN Self-tuned Kernels
• [math.ST]Minimum divergence estimators, Maximum Likelihood and the generalized bootstrap
• [math.ST]Robust estimation of a regression function in exponential families
• [math.ST]Robust hypothesis testing and distribution estimation in Hellinger distance
• [math.ST]Support estimation in high-dimensional heteroscedastic mean regression
• [math.ST]Test of the Latent Dimension of a Spatial Blind Source Separation Model
• [math.ST]p-value peeking and estimating extrema
• [physics.comp-ph]Tinker-HP : Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields using GPUs and Multi-GPUs systems
• [physics.med-ph]Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients
• [stat.AP]Assessing the Reliability of Wind Power Operations under a Changing Climate with a Non-Gaussian Distributional Adjustment
• [stat.AP]Day Ahead Price Forecasting Models in Thin Electricity Market
• [stat.AP]New Results for Pearson Type III Family of Distributions and Application in Wireless Power Transfer
• [stat.AP]Novel Compositional Data’s Grey Model for Structurally Forecasting Arctic Crude Oil Import
• [stat.AP]The Impact of Individual’s Ecological Factors on the Dynamics of Alcohol Drinking among Arizona State University Students: An Application of the Survey Data-driven Agent-based Model
• [stat.ME]A framework for causal inference in the presence of extreme inverse probability weights: the role of overlap weights
• [stat.ME]A new robust class of skew elliptical distributions
• [stat.ME]Bayesian Workflow
• [stat.ME]Bayesian inference for spline-based hidden Markov models
• [stat.ME]Canonical Correlation Analysis in high dimensions with structured regularization
• [stat.ME]Detecting direct causality in multivariate time series: A comparative study
• [stat.ME]Nonparametric Estimation of Functional Dynamic Factor Model
• [stat.ME]Spatially Clustered Regression
• [stat.ML]Automated Hyperparameter Selection for the PC Algorithm
• [stat.ML]Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores
• [stat.ML]Learning Causal Semantic Representation for Out-of-Distribution Prediction
• [stat.ML]Minimax Pareto Fairness: A Multi Objective Perspective
• [stat.ML]Multicollinearity Correction and Combined Feature Effect in Shapley Values
• [stat.ML]Quadratic Metric Elicitation with Application to Fairness
• [stat.ML]Regularized spectral methods for clustering signed networks
• [stat.ML]Sample-efficient reinforcement learning using deep Gaussian processes
• [stat.ML]Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals
• [stat.ML]Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process
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• [astro-ph.IM]Classification of Periodic Variable Stars with Novel Cyclic-Permutation Invariant Neural Networks
Keming Zhang, Joshua S. Bloom
http://arxiv.org/abs/2011.01243v1
• [cs.AI]Automated simulation and verification of process models discovered by process mining
Ivona Zakarija, Frano Škopljanac-Mačina, Bruno Blašković
http://arxiv.org/abs/2011.01646v1
• [cs.AI]Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes, Evi Sijben, Ioan Gabriel Bucur, Tom Claassen
http://arxiv.org/abs/2011.01625v1
• [cs.AI]Goal recognition via model-based and model-free techniques
Daniel Borrajo, Sriram Gopalakrishnan, Vamsi K. Potluru
http://arxiv.org/abs/2011.01832v1
• [cs.AI]Incorporating Rivalry in Reinforcement Learning for a Competitive Game
Pablo Barros, Ana Tanevska, Ozge Yalcin, Alessandra Sciutti
http://arxiv.org/abs/2011.01337v1
• [cs.AI]Loss Bounds for Approximate Influence-Based Abstraction
Elena Congeduti, Alexander Mey, Frans A. Oliehoek
http://arxiv.org/abs/2011.01788v1
• [cs.AI]MAIRE — A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi, Narayanan C Krishnan, Shweta Jain
http://arxiv.org/abs/2011.01506v1
• [cs.AI]Pairwise Relations Discriminator for Unsupervised Raven’s Progressive Matrices
Nicholas Quek Wei Kiat, Duo Wang, Mateja Jamnik
http://arxiv.org/abs/2011.01306v1
• [cs.AI]Provenance-Based Assessment of Plans in Context
Scott E. Friedman, Robert P. Goldman, Richard G. Freedman, Ugur Kuter, Christopher Geib, Jeffrey Rye
http://arxiv.org/abs/2011.01774v1
• [cs.AI]Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering
Daniel Borrajo, Manuela Veloso, Sameena Shah
http://arxiv.org/abs/2011.01826v1
• [cs.AI]Valuing Player Actions in Counter-Strike: Global Offensive
Peter Xenopoulos, Harish Doraiswamy, Claudio Silva
http://arxiv.org/abs/2011.01324v1
• [cs.CC]The Complexity of Gradient Descent: CLS = PPAD $\cap$ PLS
John Fearnley, Paul W. Goldberg, Alexandros Hollender, Rahul Savani
http://arxiv.org/abs/2011.01929v1
• [cs.CC]The Long, the Short and the Random
Giorgio Camerani
http://arxiv.org/abs/2011.01649v1
• [cs.CL]A Benchmark of Rule-Based and Neural Coreference Resolution in Dutch Novels and News
Corbèn Poot, Andreas van Cranenburgh
http://arxiv.org/abs/2011.01615v1
• [cs.CL]AraWEAT: Multidimensional Analysis of Biases in Arabic Word Embeddings
Anne Lauscher, Rafik Takieddin, Simone Paolo Ponzetto, Goran Glavaš
http://arxiv.org/abs/2011.01575v1
• [cs.CL]Automatic Detection of Machine Generated Text: A Critical Survey
Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan
http://arxiv.org/abs/2011.01314v1
• [cs.CL]Biased TextRank: Unsupervised Graph-Based Content Extraction
Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea
http://arxiv.org/abs/rg/abs/2011.01026v1
• [cs.CL]BioNerFlair: biomedical named entity recognition using flair embedding and sequence tagger
Harsh Patel
http://arxiv.org/abs/2011.01504v1
• [cs.CL]CharBERT: Character-aware Pre-trained Language Model
Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu
http://arxiv.org/abs/2011.01513v1
• [cs.CL]Creating a Domain-diverse Corpus for Theory-based Argument Quality Assessment
Lily Ng, Anne Lauscher, Joel Tetreault, Courtney Napoles
http://arxiv.org/abs/2011.01589v1
• [cs.CL]Cross-lingual Word Embeddings beyond Zero-shot Machine Translation
Shifei Chen, Ali Basirat
http://arxiv.org/abs/2011.01682v1
• [cs.CL]DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq Joty, Luo Si, Chunyan Miao
http://arxiv.org/abs/2011.01549v1
• [cs.CL]Data-to-Text Generation with Iterative Text Editing
Zdeněk Kasner, Ondřej Dušek
http://arxiv.org/abs/2011.01694v1
• [cs.CL]DeL-haTE: A Deep Learning Tunable Ensemble for Hate Speech Detection
Joshua Melton, Arunkumar Bagavathi, Siddharth Krishnan
http://arxiv.org/abs/2011.01861v1
• [cs.CL]Decoupling entrainment from consistency using deep neural networks
Andreas Weise, Rivka Levitan
http://arxiv.org/abs/2011.01860v1
• [cs.CL]Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks
Denis Emelin, Ivan Titov, Rico Sennrich
http://arxiv.org/abs/2011.01846v1
• [cs.CL]Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
Laura Oberländer, Kevin Reich, Roman Klinger
http://arxiv.org/abs/2011.01599v1
• [cs.CL]Finding Friends and Flipping Frenemies: Automatic Paraphrase Dataset Augmentation Using Graph Theory
Hannah Chen, Yangfeng Ji, David Evans
http://arxiv.org/abs/2011.01856v1
• [cs.CL]How Far Does BERT Look At:Distance-based Clustering and Analysis of BERT$’$s Attention
Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
http://arxiv.org/abs/2011.00943v2
• [cs.CL]Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation
Ruizhe Li, Xiao Li, Guanyi Chen, Chenghua Lin
http://arxiv.org/abs/2011.01136v2
• [cs.CL]Investigating Catastrophic Forgetting During Continual Training for Neural Machine Translation
Shuhao Gu, Yang Feng
http://arxiv.org/abs/2011.00678v2
• [cs.CL]Joint Entity and Relation Extraction with Set Prediction Networks
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Xiangrong Zeng, Shengping Liu
http://arxiv.org/abs/2011.01675v1
• [cs.CL]Layer-Wise Multi-View Learning for Neural Machine Translation
Qiang Wang, Changliang Li, Yue Zhang, Tong Xiao, Jingbo Zhu
http://arxiv.org/abs/2011.01482v1
• [cs.CL]Meta-Learning for Natural Language Understanding under Continual Learning Framework
Jiacheng Wang, Yong Fan, Duo Jiang, Shiqing Li
http://arxiv.org/abs/2011.01452v1
• [cs.CL]Modeling Event Salience in Narratives via Barthes’ Cardinal Functions
Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui
http://arxiv.org/abs/2011.01785v1
• [cs.CL]QMUL-SDS @ SardiStance2020: Leveraging Network Interactions to Boost Performance on Stance Detection using Knowledge Graphs
Rabab Alkhalifa, Arkaitz Zubiaga
http://arxiv.org/abs/2011.01181v2
• [cs.CL]Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments
Andreas van Cranenburgh, Corina Koolen
http://arxiv.org/abs/2011.01624v1
• [cs.CL]Semi-Supervised Cleansing of Web Argument Corpora
Jonas Dorsch, Henning Wachsmuth
http://arxiv.org/abs/2011.01798v1
• [cs.CL]Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation
Annette Rios, Mathias Müller, Rico Sennrich
http://arxiv.org/abs/2011.01703v1
• [cs.CL]Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov
http://arxiv.org/abs/2011.01403v1
• [cs.CL]The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
http://arxiv.org/abs/2011.01837v1
• [cs.CL]Towards Automated Anamnesis Summarization: BERT-based Models for Symptom Extraction
Anton Schäfer, Nils Blach, Oliver Rausch, Maximilian Warm, Nils Krüger
http://arxiv.org/abs/2011.01696v1
• [cs.CL]Towards Code-switched Classification Exploiting Constituent Language Resources
Tanvi Dadu, Kartikey Pant
http://arxiv.org/abs/2011.01913v1
• [cs.CL]TransQuest: Translation Quality Estimation with Cross-lingual Transformers
Tharindu Ranasinghe, Constantin Orasan, Ruslan Mitkov
http://arxiv.org/abs/2011.01536v1
• [cs.CL]WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
http://arxiv.org/abs/2011.01421v1
• [cs.CL]Warped Language Models for Noise Robust Language Understanding
Mahdi Namazifar, Gokhan Tur, Dilek Hakkani Tür
http://arxiv.org/abs/2011.01900v1
• [cs.CL]Weakly- and Semi-supervised Evidence Extraction
Danish Pruthi, Bhuwan Dhingra, Graham Neubig, Zachary C. Lipton
http://arxiv.org/abs/2011.01459v1
• [cs.CL]XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann
http://arxiv.org/abs/2011.01612v1
• [cs.CR]A position paper on GDPR compliance in sharded blockchains: rehash of old ideas or new interesting challenges?
Narasimha Raghavan Veeraragavan, Kaiwen Zhang
http://arxiv.org/abs/2011.01367v1
• [cs.CR]Blockchain based Attack Detection on Machine Learning Algorithms for IoT based E-Health Applications
Thippa Reddy Gadekallu, Manoj M K, Sivarama Krishnan S, Neeraj Kumar, Saqib Hakak, Sweta Bhattacharya
http://arxiv.org/abs/2011.01457v1
• [cs.CR]Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption
Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu
http://arxiv.org/abs/2011.01805v1
• [cs.CV]“You eat with your eyes first”: Optimizing Yelp Image Advertising
Gaurab Banerjee, Samuel Spinner, Yasmine Mitchell
http://arxiv.org/abs/2011.01434v1
• [cs.CV]3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation
Netalee Efrat Sela, Max Bluvstein, Shaul Oron, Dan Levi, Noa Garnett, Bat El Shlomo
http://arxiv.org/abs/2011.01535v1
• [cs.CV]A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
René Schuster, Christian Unger, Didier Stricker
http://arxiv.org/abs/2011.01603v1
• [cs.CV]A spatial hue similarity measure for assessment of colourisation
Seán Mullery, Paul F. Whelan
http://arxiv.org/abs/2011.01700v1
• [cs.CV]Attention Beam: An Image Captioning Approach
Anubhav Shrimal, Tanmoy Chakraborty
http://arxiv.org/abs/2011.01753v1
• [cs.CV]BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image Restoration
Majed El Helou, Sabine Süsstrunk
http://arxiv.org/abs/2011.01406v1
• [cs.CV]Content-based Analysis of the Cultural Differences between TikTok and Douyin
Li Sun, Haoqi Zhang, Songyang Zhang, Jiebo Luo
http://arxiv.org/abs/2011.01414v1
• [cs.CV]Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors
Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang
http://arxiv.org/abs/2011.01215v2
• [cs.CV]CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing
Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian
http://arxiv.org/abs/2011.01563v1
• [cs.CV]Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Yue Wang, Jing Li, Michael R. Lyu, Irwin King
http://arxiv.org/abs/2011.01565v1
• [cs.CV]Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea
Minho Kim, Doyoung Jeong, Hyoungwoo Choi, Yongil Kim
http://arxiv.org/abs/2011.01436v1
• [cs.CV]Distribution-aware Margin Calibration for Medical Image Segmentation
Zhibin Li, Litao Yu, Jian Zhang
http://arxiv.org/abs/2011.01462v1
• [cs.CV]Dual Attention on Pyramid Feature Maps for Image Captioning
Litao Yu, Jian Zhang, Qiang Wu
http://arxiv.org/abs/2011.01385v1
• [cs.CV]Exploring DeshuffleGANs in Self-Supervised Generative Adversarial Networks
Gulcin Baykal, Furkan Ozcelik, Gozde Unal
http://arxiv.org/abs/2011.01730v1
• [cs.CV]Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion
Haolin Zhang, Dongfang Yang, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner
http://arxiv.org/abs/2011.01404v1
• [cs.CV]In Defense of Feature Mimicking for Knowledge Distillation
Guo-Hua Wang, Yifan Ge, Jianxin Wu
http://arxiv.org/abs/2011.01424v1
• [cs.CV]Kernel Two-Dimensional Ridge Regression for Subspace Clustering
Chong Peng, Qian Zhang, Zhao Kang, Chenglizhao Chen, Qiang Cheng
http://arxiv.org/abs/2011.01477v1
• [cs.CV]Learning Deformable Tetrahedral Meshes for 3D Reconstruction
Jun Gao, Wenzheng Chen, Tommy Xiang, Alec Jacobson, Morgan McGuire, Sanja Fidler
http://arxiv.org/abs/2011.01437v1
• [cs.CV]Learning Effective Representations from Global and Local Features for Cross-View Gait Recognition
Beibei Lin, Shunli Zhang, Xin Yu, Zedong Chu, Haikun Zhang
http://arxiv.org/abs/2011.01461v1
• [cs.CV]Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado, Yi Li, Nuno Vasconcelos
http://arxiv.org/abs/2011.01819v1
• [cs.CV]Learning Visual Representations for Transfer Learning by Suppressing Texture
Shlok Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs
http://arxiv.org/abs/2011.01901v1
• [cs.CV]Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix
Julian Krebs, Hervé Delingette, Nicholas Ayache, Tommaso Mansi
http://arxiv.org/abs/2011.01741v1
• [cs.CV]Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI
Bo Li, Wiro J. Niessen, Stefan Klein, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron
http://arxiv.org/abs/2011.01869v1
• [cs.CV]Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
Guoliang Liu, Qinghui Zhang, Yichao Cao, Junwei Li, Hao Wu, Guohui Tian
http://arxiv.org/abs/2011.00553v2
• [cs.CV]Out-of-Distribution Detection for Automotive Perception
Julia Nitsch, Masha Itkina, Ransalu Senanayake, Juan Nieto, Max Schmidt, Roland Siegwart, Mykel J. Kochenderfer, Cesar Cadena
http://arxiv.org/abs/2011.01413v1
• [cs.CV]PV-NAS: Practical Neural Architecture Search for Video Recognition
Zihao Wang, Chen Lin, Lu Sheng, Junjie Yan, Jing Shao
http://arxiv.org/abs/2011.00826v2
• [cs.CV]Parameter Efficient Deep Neural Networks with Bilinear Projections
Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang
http://arxiv.org/abs/2011.01391v1
• [cs.CV]RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
Rafael Berral-Soler, Francisco J. Madrid-Cuevas, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez
http://arxiv.org/abs/2011.01890v1
• [cs.CV]Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering
Yuheng Wang, Wen Jie Zhao, Jiahui Xu, Raymond Hong
http://arxiv.org/abs/2011.01353v1
• [cs.CV]Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery
Yong-Hao Long, Jie-Ying Wu, Bo Lu, Yue-Ming Jin, Mathias Unberath, Yun-Hui Liu, Pheng-Ann Heng, Qi Dou
http://arxiv.org/abs/2011.01619v1
• [cs.CV]Revisiting Adaptive Convolutions for Video Frame Interpolation
Simon Niklaus, Long Mai, Oliver Wang
http://arxiv.org/abs/2011.01280v1
• [cs.CV]SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
Denis Tome, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernan Badino, Fernando De la Torre
http://arxiv.org/abs/2011.01519v1
• [cs.CV]Semi-supervised AU Intensity Estimation with Contrastive Learning
Enrique Sanchez, Adrian Bulat, Anestis Zaganidis, Georgios Tzimiropoulos
http://arxiv.org/abs/2011.01864v1
• [cs.CV]The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals
Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa
http://arxiv.org/abs/2011.01655v1
• [cs.CV]Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification
Kshitij Nikhal, Benjamin S. Riggan
http://arxiv.org/abs/2011.01888v1
• [cs.CV]Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints
Kenny Chen, Alexandra Pogue, Brett T. Lopez, Ali-akbar Agha-mohammadi, Ankur Mehta
http://arxiv.org/abs/2011.01354v1
• [cs.CV]VEGA: Towards an End-to-End Configurable AutoML Pipeline
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Ning Kang, Lanqing Hong, Wei Zhang, Yong Li, Zhicheng Liu, Zhenguo Li, Weizhi Liu, Tong Zhang
http://arxiv.org/abs/2011.01507v1
• [cs.CV]Wheat Crop Yield Prediction Using Deep LSTM Model
Sagarika Sharma, Sujit Rai, Narayanan C. Krishnan
http://arxiv.org/abs/2011.01498v1
• [cs.CY]An Incentive Based Approach for COVID-19 using Blockchain Technology
Manoj MK, Gautam Srivastava, Siva Rama Krishnan Somayaji, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Sweta Bhattacharya
http://arxiv.org/abs/2011.01468v1
• [cs.CY]Economic Principles of PoPCoin, a Democratic Time-based Cryptocurrency
Haoqian Zhang, Cristina Basescu, Bryan Ford
http://arxiv.org/abs/2011.01712v1
• [cs.CY]NSF Convergence Approach to Transition Basic Research into Practice
Shelby Smith, Chaitanya Baru
http://arxiv.org/abs/2011.01251v1
• [cs.CY]NationalMood: Large-scale Estimation of People’s Mood from Web Search Query and Mobile Sensor Data
Tadashi Okoshi, Wataru Sasaki, Hiroshi Kawane, Kota Tsubouchi
http://arxiv.org/abs/2011.00665v2
• [cs.CY]Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health
Vincent Valton, Toby Wise, Oliver J. Robinson
http://arxiv.org/abs/2011.01725v1
• [cs.DC]A Scenario-Based Development Framework for Autonomous Driving
Xiaoyi Li
http://arxiv.org/abs/2011.01439v1
• [cs.DC]AWARE: Adaptive Wide-Area Replication for Fast and Resilient Byzantine Consensus
Christian Berger, Hans P. Reiser, João Sousa, Alysson Bessani
http://arxiv.org/abs/2011.01671v1
• [cs.DC]Balanced Partitioning of Several Cache-Oblivious Algorithms
Yuan Tang, Weiguo Gao
http://arxiv.org/abs/2011.01441v1
• [cs.DC]Distributed Machine Learning for Computational Engineering using MPI
Kailai Xu, Weiqiang Zhu, Eric Darve
http://arxiv.org/abs/2011.01349v1
• [cs.DC]Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters — an Experimental Study
Charilaos Tzovas, Maria Predari, Henning Meyerhenke
http://arxiv.org/abs/2011.01814v1
• [cs.DC]FASTCloud: A framework of assessment and selection for trustworthy cloud service based on QoS
Xiang Li
http://arxiv.org/abs/2011.01871v1
• [cs.DC]Heartbeat Diagnosis of Performance Anomaly in OpenMP Multi-Threaded Systems
Weidong Wang, Wangda Luo
http://arxiv.org/abs/2011.01419v1
• [cs.DC]Solving large number of non-stiff, low-dimensional ordinary differential equation systems on GPUs and CPUs: performance comparisons of MPGOS, ODEINT and DifferentialEquations.jl
Dániel Nagy, Lambert Plavecz, Ferenc Hegedűs
http://arxiv.org/abs/2011.01740v1
• [cs.DL]Growth and dynamics of Econophysics: A bibliometric and network analysis
Kiran Sharma, Parul Khurana
http://arxiv.org/abs/2011.01881v1
• [cs.DS]Formal Validation of Recursive Backtracking Algorithms: The Case of Listing Stable Extensions in the Directed Graphs of Argumentation Frameworks
Samer Nofal, Amani Abu Jabal, Abdullah Alfarrarjeh, Ismail Hababeh
http://arxiv.org/abs/2011.01489v1
• [cs.GT]On Singleton Congestion Games with Resilience Against Collusion
Bugra Caskurlu, Ozgun Ekici, Fatih Erdem Kizilkaya
http://arxiv.org/abs/2011.01791v1
• [cs.IR]AI Marker-based Large-scale AI Literature Mining
Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou Wu
http://arxiv.org/abs/2011.00518v2
• [cs.IR]CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett
http://arxiv.org/abs/2011.01580v1
• [cs.IR]Leveraging Natural Language Processing to Mine Issues on Twitter During the COVID-19 Pandemic
Ankita Agarwal, Preetham Salehundam, Swati Padhee, William L. Romine, Tanvi Banerjee
http://arxiv.org/abs/2011.00377v2
• [cs.IR]Participation in TREC 2020 COVID Track Using Continuous Active Learning
Xue Jun Wang, Maura R. Grossman, Seung Gyu Hyun
http://arxiv.org/abs/2011.01453v1
• [cs.IR]RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen
http://arxiv.org/abs/2011.01731v1
• [cs.IT]Asymmetric Interference Cancellation for 5G Non-Public Network with Uplink-Downlink Spectrum Sharing
Peiming Li, Lifeng Xie, Jianping Yao, Jie Xu, Shuguang Cui, Ping Zhang
http://arxiv.org/abs/2011.01511v1
• [cs.IT]Codes from the Incidence Matrices of a zero-divisor Graphs
N. Annamalai, C Durairajan
http://arxiv.org/abs/2011.01602v1
• [cs.IT]Compressed Sensing with Upscaled Vector Approximate Message Passing
Nikolajs Skuratovs, Michael Davies
http://arxiv.org/abs/2011.01369v1
• [cs.IT]Distributional Reinforcement Learning for mmWave Communications with Intelligent Reflectors on a UAV
Qianqian Zhang, Walid Saad, Mehdi Bennis
http://arxiv.org/abs/2011.01840v1
• [cs.IT]Error- and Tamper-Tolerant State Estimation for Discrete Event Systems under Cost Constraints
Yuting Li, Christoforos N. Hadjicostis, Naiqi Wu, Zhiwu Li
http://arxiv.org/abs/2011.01371v1
• [cs.IT]Gradient Coding with Dynamic Clustering for Straggler Mitigation
Baturalp Buyukates, Emre Ozfatura, Sennur Ulukus, Deniz Gunduz
http://arxiv.org/abs/2011.01922v1
• [cs.IT]Joint Energy Harvest and Information Transfer for Energy Beamforming in Backscatter Multiuser Networks
Wenyuan Ma, Wei Wang, Tao Jiang
http://arxiv.org/abs/2011.01533v1
• [cs.IT]Nonexistence of perfect permutation codes under the Kendall τ-metric
Wang Xiang, Wang Yuanjie, Yin Wenjuan, Fu Fang-Wei
http://arxiv.org/abs/2011.01600v1
• [cs.IT]On the Relevance-Complexity Region of Scalable Information Bottleneck
Mohammad Mahdi Mahvari, Mari Kobayashi, Abdellatif Zaidi
http://arxiv.org/abs/2011.01352v1
• [cs.IT]Uplink Transmission Design for Crowded Correlated Cell-Free Massive MIMO-OFDM Systems
Junyuan Gao, Yongpeng Wu, Yongjian Wang, Wenjun Zhang, Fan Wei
http://arxiv.org/abs/2011.00203v2
• [cs.LG]A Comprehensive Study of Class Incremental Learning Algorithms for Visual Tasks
Eden Belouadah, Adrian Popescu, Ioannis Kanellos
http://arxiv.org/abs/2011.01844v1
• [cs.LG]A Score-and-Search Approach to Learning Bayesian Networks with Noisy-OR Relations
Charupriya Sharma, Zhenyu A. Liao, James Cussens, Peter van Beek
http://arxiv.org/abs/2011.01444v1
• [cs.LG]A Study of Policy Gradient on a Class of Exactly Solvable Models
Gavin McCracken, Colin Daniels, Rosie Zhao, Anna Brandenberger, Prakash Panangaden, Doina Precup
http://arxiv.org/abs/2011.01859v1
• [cs.LG]Amortized Variational Deep Q Network
Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu
http://arxiv.org/abs/2011.01706v1
• [cs.LG]An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya
http://arxiv.org/abs/2011.01783v1
• [cs.LG]Analytical aspects of non-differentiable neural networks
Gian Paolo Leonardi, Matteo Spallanzani
http://arxiv.org/abs/2011.01858v1
• [cs.LG]Autoencoding Features for Aviation Machine Learning Problems
Liya Wang, Panta Lucic, Keith Campbell, Craig Wanke
http://arxiv.org/abs/2011.01464v1
• [cs.LG]Brain Predictability toolbox: a Python library for neuroimaging based machine learning
Sage Hahn, Dekang Yuan, Wesley Thompson, Max M Owens, Nicholas Allgaier, Hugh Garavan
http://arxiv.org/abs/2011.01715v1
• [cs.LG]Classifier Pool Generation based on a Two-level Diversity Approach
Marcos Monteiro, Alceu S. Britto Jr, Jean P. Barddal, Luiz S. Oliveira, Robert Sabourin
http://arxiv.org/abs/2011.01908v1
• [cs.LG]Comparison of pharmacist evaluation of medication orders with predictions of a machine learning model
Sophie-Camille Hogue, Flora Chen, Geneviève Brassard, Denis Lebel, Jean-François Bussières, Audrey Durand, Maxime Thibault
http://arxiv.org/abs/2011.01925v1
• [cs.LG]Coresets for Regressions with Panel Data
Lingxiao Huang, K. Sudhir, Nisheeth K. Vishnoi
http://arxiv.org/abs/2011.00981v2
• [cs.LG]Cortex: A Compiler for Recursive Deep Learning Models
Pratik Fegade, Tianqi Chen, Phil Gibbons, Todd Mowry
http://arxiv.org/abs/2011.01383v1
• [cs.LG]Deep Joint Transmission-Recognition for Multi-View Cameras
Ezgi Ozyilkan, Mikolaj Jankowski
http://arxiv.org/abs/2011.01902v1
• [cs.LG]Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time
Yuanzhe Geng, Erwu Liu, Rui Wang, Yiming Liu
http://arxiv.org/abs/2011.01771v1
• [cs.LG]Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks
Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao
http://arxiv.org/abs/2011.01797v1
• [cs.LG]Ensuring Dataset Quality for Machine Learning Certification
Sylvaine Picard, Camille Chapdelaine, Cyril Cappi, Laurent Gardes, Eric Jenn, Baptiste Lefèvre, Thomas Soumarmon
http://arxiv.org/abs/2011.01799v1
• [cs.LG]Episodic Linear Quadratic Regulators with Low-rank Transitions
Tianyu Wang, Lin F. Yang
http://arxiv.org/abs/2011.01568v1
• [cs.LG]Estimating decision tree learnability with polylogarithmic sample complexity
Guy Blanc, Neha Gupta, Jane Lange, Li-Yang Tan
http://arxiv.org/abs/2011.01584v1
• [cs.LG]Exact Asymptotics for Linear Quadratic Adaptive Control
Feicheng Wang, Lucas Janson
http://arxiv.org/abs/2011.01364v1
• [cs.LG]Exemplar Guided Active Learning
Jason Hartford, Kevin Leyton-Brown, Hadas Raviv, Dan Padnos, Shahar Lev, Barak Lenz
http://arxiv.org/abs/2011.01285v1
• [cs.LG]Frequency-compensated PINNs for Fluid-dynamic Design Problems
Tongtao Zhang, Biswadip Dey, Pratik Kakkar, Arindam Dasgupta, Amit Chakraborty
http://arxiv.org/abs/2011.01456v1
• [cs.LG]GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs
Yunpeng Weng, Xu Chen, Liang Chen, Wei Liu
http://arxiv.org/abs/2011.01393v1
• [cs.LG]Generalization to New Actions in Reinforcement Learning
Ayush Jain, Andrew Szot, Joseph J. Lim
http://arxiv.org/abs/2011.01928v1
• [cs.LG]Generating Unobserved Alternatives: A Case Study through Super-Resolution and Decompression
Shichong Peng, Ke Li
http://arxiv.org/abs/2011.01926v1
• [cs.LG]IOS: Inter-Operator Scheduler for CNN Acceleration
Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
http://arxiv.org/abs/2011.01302v1
• [cs.LG]Impact of Community Structure on Consensus Machine Learning
Bao Huynh, Haimonti Dutta, Dane Taylor
http://arxiv.org/abs/2011.01334v1
• [cs.LG]Learning on Attribute-Missing Graphs
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W Tsang
http://arxiv.org/abs/2011.01623v1
• [cs.LG]Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
Chongyang Wang, Yuan Gao, Akhil Mathur, Nicholas D. Lane, Nadia Bianchi-Berthouze
http://arxiv.org/abs/2011.01776v1
• [cs.LG]MACE: Model Agnostic Concept Extractor for Explaining Image Classification Networks
Ashish Kumar, Karan Sehgal, Prerna Garg, Vidhya Kamakshi, Narayanan C Krishnan
http://arxiv.org/abs/2011.01472v1
• [cs.LG]Meta-learning Transferable Representations with a Single Target Domain
Hong Liu, Jeff Z. HaoChen, Colin Wei, Tengyu Ma
http://arxiv.org/abs/2011.01418v1
• [cs.LG]Modular-Relatedness for Continual Learning
Ammar Shaker, Shujian Yu, Francesco Alesiani
http://arxiv.org/abs/2011.01272v1
• [cs.LG]Multi-armed Bandits with Cost Subsidy
Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula
http://arxiv.org/abs/2011.01488v1
• [cs.LG]Optimal Policies for the Homogeneous Selective Labels Problem
Dennis Wei
http://arxiv.org/abs/2011.01381v1
• [cs.LG]Optimizing Molecules using Efficient Queries from Property Evaluations
Samuel Hoffman, Vijil Chenthamarakshan, Kahini Wadhawan, Pin-Yu Chen, Payel Das
http://arxiv.org/abs/2011.01921v1
• [cs.LG]Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning
Shreyas Fadnavis, Joshua Batson, Eleftherios Garyfallidis
http://arxiv.org/abs/2011.01355v1
• [cs.LG]Problems using deep generative models for probabilistic audio source separation
Maurice Frank, Maximilian Ilse
http://arxiv.org/abs/2011.01761v1
• [cs.LG]Random Walk Bandits
Tianyu Wang, Lin F. Yang, Zizhuo Wang
http://arxiv.org/abs/2011.01445v1
• [cs.LG]Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai, Jinqi Luo, Jun Zhao
http://arxiv.org/abs/2011.01539v1
• [cs.LG]Representation Matters: Improving Perception and Exploration for Robotics
Markus Wulfmeier, Arunkumar Byravan, Tim Hertweck, Irina Higgins, Ankush Gupta, Tejas Kulkarni, Malcolm Reynolds, Denis Teplyashin, Roland Hafner, Thomas Lampe, Martin Riedmiller
http://arxiv.org/abs/2011.01758v1
• [cs.LG]Robust Latent Representations via Cross-Modal Translation and Alignment
Vandana Rajan, Alessio Brutti, Andrea Cavallaro
http://arxiv.org/abs/2011.01631v1
• [cs.LG]SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions
Jing Wang, Anna Choromanska
http://arxiv.org/abs/2011.01474v1
• [cs.LG]Sampling and Recovery of Graph Signals based on Graph Neural Networks
Siheng Chen, Maosen Li, Ya Zhang
http://arxiv.org/abs/2011.01412v1
• [cs.LG]Self-semi-supervised Learning to Learn from NoisyLabeled Data
Jiacheng Wang, Yue Ma, Shuang Gao
http://arxiv.org/abs/2011.01429v1
• [cs.LG]Single Shot Reversible GAN for BCG artifact removal in simultaneous EEG-fMRI
Guang Lin, Jianhai Zhang, Yuxi Liu
http://arxiv.org/abs/2011.01710v1
• [cs.LG]Specialization in Hierarchical Learning Systems
Heinke Hihn, Daniel A. Braun
http://arxiv.org/abs/2011.01845v1
• [cs.LG]Tabular Transformers for Modeling Multivariate Time Series
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre Dognin, Jerret Ross, Ravi Nair, Erik Altman
http://arxiv.org/abs/2011.01843v1
• [cs.LG]Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
Fanghui Liu, Xiaolin Huang, Yudong Chen, Johan A. K. Suykens
http://arxiv.org/abs/2011.01668v1
• [cs.LG]Towards a Universal Gating Network for Mixtures of Experts
Chen Wen Kang, Chua Meng Hong, Tomas Maul
http://arxiv.org/abs/2011.01613v1
• [cs.LG]Training Wake Word Detection with Synthesized Speech Data on Confusion Words
Yan Jia, Zexin Cai, Murong Ma, Zeqing Zhao, Xuyang Wang, Junjie Wang, Ming Li
http://arxiv.org/abs/2011.01460v1
• [cs.LG]Transforming Gaussian Processes With Normalizing Flows
Juan Maroñas, Oliver Hamelijnck, Jeremias Knoblauch, Theodoros Damoulas
http://arxiv.org/abs/2011.01596v1
• [cs.LG]Useful Policy Invariant Shaping from Arbitrary Advice
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
http://arxiv.org/abs/2011.01297v1
• [cs.NI]Multi-level Forwarding and Scheduling Recovery Algorithm in Rapidly-changing Network for Erasure-coded Clusters
Hai Zhou, Dan Feng, Yuchong Hu
http://arxiv.org/abs/2011.01410v1
• [cs.RO]A Dynamics Simulator for Soft Growing Robots
Rianna Jitosho, Nathaniel Agharese, Allison Okamura, Zac Manchester
http://arxiv.org/abs/2011.01917v1
• [cs.RO]A Laser-based Dual-arm System for Precise Control of Collaborative Robots
João Silvério, Sylvain Calinon
http://arxiv.org/abs/2011.01573v1
• [cs.RO]Communication-Aware Multi-robot Coordination with Submodular Maximization
Guangyao Shi, Ishat E Rabban, Lifeng Zhou, Pratap Tokekar
http://arxiv.org/abs/2011.01476v1
• [cs.RO]Contact Mode Guided Sampling-Based Planning for Quasistatic Dexterous Manipulation in 2D
Xianyi Cheng, Eric Huang, Yifan Hou, Matthew T. Mason
http://arxiv.org/abs/2011.01454v1
• [cs.RO]Design Paradigms Based on Spring Agonists for Underactuated Robot Hands: Concepts and Application
Tianjian Chen Tianyi Zhang, Matei Ciocarlie
http://arxiv.org/abs/2011.01483v1
• [cs.RO]Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
http://arxiv.org/abs/2011.01734v1
• [cs.RO]Efficient Sampling of Transition Constraints for Motion Planning under Sliding Contacts
Marie-Therese Khoury, Andreas Orthey, Marc Toussaint
http://arxiv.org/abs/2011.01552v1
• [cs.RO]Equality Constrained Linear Optimal Control With Factor Graphs
Shuo Yang, Gerry Chen, Yetong Zhang, Frank Dellaert, Howie Choset
http://arxiv.org/abs/2011.01360v1
• [cs.RO]Guided Navigation from Multiple Viewpoints using Qualitative Spatial Reasoning
Danilo Perico, Paulo E. Santos, Reinaldo Bianchi
http://arxiv.org/abs/2011.01397v1
• [cs.RO]Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback
Yijie Zhou, Yan Zhang, Xusheng Luo, Michael M. Zavlanos
http://arxiv.org/abs/2011.01793v1
• [cs.RO]Hybrid Visual Servoing Tracking Control of Uncalibrated Robotic Systems for Dynamic Dwarf Culture Orchards Harvest
Tao Li, Quan Qiu, Chunjiang Zhao
http://arxiv.org/abs/2011.01408v1
• [cs.RO]Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations
Nikos Pitsillos, Ameya Pore, Bjorn Sand Jensen, Gerardo Aragon-Camarasa
http://arxiv.org/abs/2011.01880v1
• [cs.RO]Kinodynamic Motion Planning for Multi-Legged Robot Jumping via Mixed-Integer Convex Program
Yanran Ding, Chuanzheng Li, Hae-Won Park
http://arxiv.org/abs/2011.01809v1
• [cs.RO]Leaf-like Origami with Bistability for Self-Adaptive Grasping Motions
Hiromi Yasuda, Kyle Johnson, Vicente Arroyos, Koshiro Yamaguchi, Jordan R. Raney, Jinkyu Yang
http://arxiv.org/abs/2011.01428v1
• [cs.RO]Learning Barrier Functions with Memory for Robust Safe Navigation
Kehan Long, Cheng Qian, Jorge Cortés, Nikolay Atanasov
http://arxiv.org/abs/2011.01899v1
• [cs.RO]Non-linear Hysteresis Compensation of a Tendon-sheath-driven Robotic Manipulator using Motor Current
Dong-Ho Lee, Young-Ho Kim, Jarrod Collins, Ankur Kapoor, Dong-Soo Kwon, Tommaso Mansi
http://arxiv.org/abs/2011.01817v1
• [cs.RO]Planning for Aerial Robot Teams for Wide-Area Biometric and Phenotypic Data Collection
Tianshuang Gao, Shashwata Mandal, Sourabh Bhattacharya
http://arxiv.org/abs/2011.01492v1
• [cs.RO]Policy Transfer via Kinematic Domain Randomization and Adaptation
Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu
http://arxiv.org/abs/2011.01891v1
• [cs.RO]Predicting Terrain Mechanical Properties in Sight for Planetary Rovers with Semantic Clues
Ruyi Zhou, Wenhao Feng, Huaiguang Yang, Haibo Gao, Nan Li, Zongquan Deng, Liang Ding
http://arxiv.org/abs/2011.01872v1
• [cs.RO]Risk-Sensitive Path Planning via CVaR Barrier Functions: Application to Bipedal Locomotion
Mohamadreza Ahmadi, Xiaobin Xiong, Aaron D. Ames
http://arxiv.org/abs/2011.01578v1
• [cs.RO]Safe, Passive Control for Mechanical Systems with Application to Physical Human-Robot Interactions
Wenceslao Shaw Cortez, Christos Verginis, Dimos V. Dimarogonas
http://arxiv.org/abs/2011.01810v1
• [cs.RO]Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning
Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic
http://arxiv.org/abs/2011.01882v1
• [cs.RO]Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
Yuchen Wu, Melissa Mozifian, Florian Shkurti
http://arxiv.org/abs/2011.01298v1
• [cs.RO]Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition
Jonah Siekmann, Yesh Godse, Alan Fern, Jonathan Hurst
http://arxiv.org/abs/2011.01387v1
• [cs.RO]Trajectory Generation with Fast Lidar-based 3D Collision Avoidance for Agile MAVs
Marius Beul, Sven Behnke
http://arxiv.org/abs/2011.01582v1
• [cs.RO]Vision-Based Control for Robots by a Fully Spiking Neural System Relying on Cerebellar Predictive Learning
Omar Zahra, David Navarro-Alarcon, Silvia Tolu
http://arxiv.org/abs/2011.01641v1
• [cs.RO]Where am I? SLAM for Mobile Machines on A Smart Working Site
Yusheng Xiang, Dianzhao Li, Tianqing Su, Quan Zhou, Christine Brach, Samuel S. Mao, Marcus Geimer
http://arxiv.org/abs/2011.01830v1
• [cs.SD]A Two-Stage Approach to Device-Robust Acoustic Scene Classification
Hu Hu, Chao-Han Huck Yang, Xianjun Xia, Xue Bai, Xin Tang, Yajian Wang, Shutong Niu, Li Chai, Juanjuan Li, Hongning Zhu, Feng Bao, Yuanjun Zhao, Sabato Marco Siniscalchi, Yannan Wang, Jun Du, Chin-Hui Lee
http://arxiv.org/abs/2011.01447v1
• [cs.SD]ShaneRun System Description to VoxCeleb Speaker Recognition Challenge 2020
Shen Chen
http://arxiv.org/abs/2011.01518v1
• [cs.SD]Shift If You Can: Counting and Visualising Correction Operations for Beat Tracking Evaluation
A. Sá Pinto, I. Domingues, M. E. P. Davies
http://arxiv.org/abs/2011.01637v1
• [cs.SD]Small footprint Text-Independent Speaker Verification for Embedded Systems
Julien Balian, Raffaele Tavarone, Mathieu Poumeyrol, Alice Coucke
http://arxiv.org/abs/2011.01709v1
• [cs.SE]Turning Software Engineers into AI Engineers
Petra Heck, Gerard Schouten
http://arxiv.org/abs/2011.01590v1
• [cs.SI]A Multi-aspect Analysis of Gender Bias on Online Student Evaluations
Sofia Maria Nikolakaki, Joseph Lai, Evimaria Terzi
http://arxiv.org/abs/2011.01897v1
• [cs.SI]Blocking Adversarial Influence in Social Networks
Feiran Jia, Kai Zhou, Charles Kamhoua, Yevgeniy Vorobeychik
http://arxiv.org/abs/2011.01346v1
• [cs.SI]Centrality Measures: A Tool to Identify Key Actors in Social Networks
Rishi Ranjan Singh
http://arxiv.org/abs/2011.01627v1
• [cs.SI]Deception and the Strategy of Influence
Brian B., William Fleshman, Kevin H., Ryan Kaliszewski, Shawn R
http://arxiv.org/abs/2011.01331v1
• [cs.SI]Embedding Node Structural Role Identity into Hyperbolic Space
Lili Wang, Ying Lu, Chenghan Huang, Soroush Vosoughi
http://arxiv.org/abs/2011.01512v1
• [cs.SI]GAGE: Geometry Preserving Attributed Graph Embeddings
Charilaos I. Kanatsoulis, Nicholas D. Sidiropoulos
http://arxiv.org/abs/2011.01422v1
• [cs.SI]Incorporating User-Comment Graph for Fake News Detection
Hao Liao, Qixin Liu, Kai Shu, Xing xie
http://arxiv.org/abs/2011.01579v1
• [cs.SI]Model of Trust Management for Digital Industry Services. Towards E-Commerce 4.0
Wolfgang Bauer, Natalia Kryvinska, Jürgen Dorn
http://arxiv.org/abs/2011.01523v1
• [cs.SI]Prediction of USA November 2020 Election Results Using Multifactor Twitter Data Analysis Method
Ibrahim Sabuncu, Mehmet Ali Balci, Omer Akguller
http://arxiv.org/abs/2010.15938v2
• [cs.SI]Quadratic Optimization based Clique Expansion for Overlapping Community Detection
Yanhao Yang, Pan Shi, Yuyi Wang, Kun He
http://arxiv.org/abs/2011.01640v1
• [econ.GN]Synthetic Data Generation for Economists
Allison Koenecke, Hal Varian
http://arxiv.org/abs/2011.01374v1
• [eess.AS]StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization
Ahmed Mustafa, Nicola Pia, Guillaume Fuchs
http://arxiv.org/abs/2011.01557v1
• [eess.IV]Convolution Neural Networks for Semantic Segmentation: Application to Small Datasets of Biomedical Images
Vitaly Nikolaev
http://arxiv.org/abs/2011.01747v1
• [eess.IV]Generalized Wasserstein Dice Score, Distributionally Robust Deep Learning, and Ranger for brain tumor segmentation: BraTS 2020 challenge
Lucas Fidon, Sebastien Ourselin, Tom Vercauteren
http://arxiv.org/abs/2011.01614v1
• [eess.IV]Solving Inverse Problems with Hybrid Deep Image Priors: the challenge of preventing overfitting
Zhaodong Sun
http://arxiv.org/abs/2011.01748v1
• [eess.SP]Exploiting Multiple Intelligent Reflecting Surfaces in Multi-Cell Uplink MIMO Communications
Junghoon Kim, Seyyedali Hosseinalipour, Taejoon Kim, David J. Love, Christopher G. Brinton
http://arxiv.org/abs/2011.01141v2
• [eess.SY]An approach to measure route quality and refine the route during the voyage using characteristic coefficients
Ivan Yanchin, Oleg Petrov
http://arxiv.org/abs/2011.01607v1
• [math.OC]A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
Dmitry Kovalev, Anastasia Koloskova, Martin Jaggi, Peter Richtarik, Sebastian U. Stich
http://arxiv.org/abs/2011.01697v1
• [math.OC]Federated LQR: Learning through Sharing
Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li
http://arxiv.org/abs/2011.01815v1
• [math.OC]Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance
Thinh T. Doan
http://arxiv.org/abs/2011.01868v1
• [math.ST]A review on minimax rates in change point detection and localisation
Yi Yu
http://arxiv.org/abs/2011.01857v1
• [math.ST]Asymptotic Theory of Expectile Neural Networks
Jinghang Lin, Xiaoxi Shen, Qing Lu
http://arxiv.org/abs/2011.01218v1
• [math.ST]Convergence of Graph Laplacian with kNN Self-tuned Kernels
Xiuyuan Cheng, Hau-Tieng Wu
http://arxiv.org/abs/2011.01479v1
• [math.ST]Minimum divergence estimators, Maximum Likelihood and the generalized bootstrap
Michel Broniatowski
http://arxiv.org/abs/2011.01617v1
• [math.ST]Robust estimation of a regression function in exponential families
Yannick Baraud, Juntong Chen
http://arxiv.org/abs/2011.01657v1
• [math.ST]Robust hypothesis testing and distribution estimation in Hellinger distance
Ananda Theertha Suresh
http://arxiv.org/abs/2011.01848v1
• [math.ST]Support estimation in high-dimensional heteroscedastic mean regression
Philipp Hermann, Hajo Holzmann
http://arxiv.org/abs/2011.01591v1
• [math.ST]Test of the Latent Dimension of a Spatial Blind Source Separation Model
Christoph Muehlmann, François Bachoc, Klaus Nordhausen, Mengxi Yi
http://arxiv.org/abs/2011.01711v1
• [math.ST]p-value peeking and estimating extrema
Akshay Balsubramani
http://arxiv.org/abs/2011.01343v1
• [physics.comp-ph]Tinker-HP : Accelerating Molecular Dynamics Simulations of Large Complex Systems with Advanced Point Dipole Polarizable Force Fields using GPUs and Multi-GPUs systems
Olivier Adjoua, Louis Lagardère, Luc-Henri Jolly, Arnaud Durocher, Thibaut Very, Isabelle Dupays, Zhi Wang, Théo Jaffrelot Inizan, Frédéric Célerse, Pengyu Ren, Jay W. Ponder, Jean-Philip Piquemal
http://arxiv.org/abs/2011.01207v2
• [physics.med-ph]Improved unsupervised physics-informed deep learning for intravoxel-incoherent motion modeling and evaluation in pancreatic cancer patients
Misha P. T. Kaandorp, Sebastiano Barbieri, Remy Klaassen, Hanneke W. M. van Laarhoven, Hans Crezee, Peter T. While, Aart J. Nederveen, Oliver J. Gurney-Champion
http://arxiv.org/abs/2011.01689v1
• [stat.AP]Assessing the Reliability of Wind Power Operations under a Changing Climate with a Non-Gaussian Distributional Adjustment
Jiachen Zhang, Paola Crippa, Marc G. Genton, Stefano Castruccio
http://arxiv.org/abs/2011.01263v1
• [stat.AP]Day Ahead Price Forecasting Models in Thin Electricity Market
Sayani Gupta, Puneet Chitkara
http://arxiv.org/abs/2011.01423v1
• [stat.AP]New Results for Pearson Type III Family of Distributions and Application in Wireless Power Transfer
Sotiris A. Tegos, George K. Karagiannidis, Panagiotis D. Diamantoulakis, Nestor D. Chatzidiamantis
http://arxiv.org/abs/2011.01332v1
• [stat.AP]Novel Compositional Data’s Grey Model for Structurally Forecasting Arctic Crude Oil Import
Pan Qilong, Yin Jieru, Xiao Xinping
http://arxiv.org/abs/2011.01501v1
• [stat.AP]The Impact of Individual’s Ecological Factors on the Dynamics of Alcohol Drinking among Arizona State University Students: An Application of the Survey Data-driven Agent-based Model
Asma Azizi, Anamika Mubayi, Anuj Mubayi
http://arxiv.org/abs/2011.01876v1
• [stat.ME]A framework for causal inference in the presence of extreme inverse probability weights: the role of overlap weights
Roland A. Matsouaka, Yunji Zhou
http://arxiv.org/abs/2011.01388v1
• [stat.ME]A new robust class of skew elliptical distributions
H. Kwong, S. Nadarajah
http://arxiv.org/abs/2011.01698v1
• [stat.ME]Bayesian Workflow
Andrew Gelman, Aki Vehtari, Daniel Simpson, Charles C. Margossian, Bob Carpenter, Yuling Yao, Lauren Kennedy, Jonah Gabry, Paul-Christian Bürkner, Martin Modrák
http://arxiv.org/abs/2011.01808v1
• [stat.ME]Bayesian inference for spline-based hidden Markov models
Sida Chen, Bärbel Finkenstädt Rand
http://arxiv.org/abs/2011.01567v1
• [stat.ME]Canonical Correlation Analysis in high dimensions with structured regularization
Elena Tuzhilina, Leonardo Tozzi, Trevor Hastie
http://arxiv.org/abs/2011.01650v1
• [stat.ME]Detecting direct causality in multivariate time series: A comparative study
Angeliki Papana, Elsa Siggiridou, Dimitris Kugiumtzis
http://arxiv.org/abs/2011.01379v1
• [stat.ME]Nonparametric Estimation of Functional Dynamic Factor Model
Israel Martínez-Hernández, Jesús Gonzalo, Graciela González-Farías
http://arxiv.org/abs/2011.01831v1
• [stat.ME]Spatially Clustered Regression
Shonosuke Sugasawa, Daisuke Murakami
http://arxiv.org/abs/2011.01493v1
• [stat.ML]Automated Hyperparameter Selection for the PC Algorithm
Eric V. Strobl
http://arxiv.org/abs/2011.01889v1
• [stat.ML]Detecting Early Onset of Depression from Social Media Text using Learned Confidence Scores
Ana-Maria Bucur, Liviu P. Dinu
http://arxiv.org/abs/2011.01695v1
• [stat.ML]Learning Causal Semantic Representation for Out-of-Distribution Prediction
Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu
http://arxiv.org/abs/2011.01681v1
• [stat.ML]Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martinez, Martin Bertran, Guillermo Sapiro
http://arxiv.org/abs/2011.01821v1
• [stat.ML]Multicollinearity Correction and Combined Feature Effect in Shapley Values
Indranil Basu, Subhadip Maji
http://arxiv.org/abs/2011.01661v1
• [stat.ML]Quadratic Metric Elicitation with Application to Fairness
Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan, Oluwasanmi Koyejo
http://arxiv.org/abs/2011.01516v1
• [stat.ML]Regularized spectral methods for clustering signed networks
Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi
http://arxiv.org/abs/2011.01737v1
• [stat.ML]Sample-efficient reinforcement learning using deep Gaussian processes
Charles Gadd, Markus Heinonen, Harri Lähdesmäki, Samuel Kaski
http://arxiv.org/abs/2011.01226v1
• [stat.ML]Uncertainty Quantification in Extreme Learning Machine: Analytical Developments, Variance Estimates and Confidence Intervals
Fabian Guignard, Federico Amato, Mikhail Kanevski
http://arxiv.org/abs/2011.01704v1
• [stat.ML]Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process
A. Daneshkhah, M. Mousavi Nezhad, O. Chatrabgoun, M. Esmaeilbeigi, T. Sedighi, S. Abolfathi
http://arxiv.org/abs/2011.01647v1
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