cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.ET - 新兴技术 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 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.SI - 社交网络与信息网络 econ.EM - 计量经济学 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 q-bio.PE - 人口与发展 q-fin.PM - 投资组合管理 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
• [cs.AI]A Knowledge Representation Approach to Automated Mathematical Modelling
• [cs.AI]A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments
• [cs.AI]Griddly: A platform for AI research in games
• [cs.AI]Performance of Bounded-Rational Agents With the Ability to Self-Modify
• [cs.AI]Quality4.0 — Transparent product quality supervision in the age of Industry 4.0
• [cs.CL]An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text
• [cs.CL]Analyzing Neural Discourse Coherence Models
• [cs.CL]Augmenting BERT Carefully with Underrepresented Linguistic Features
• [cs.CL]Author’s Sentiment Prediction
• [cs.CL]Biomedical Named Entity Recognition at Scale
• [cs.CL]Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages
• [cs.CL]Enabling Interactive Transcription in an Indigenous Community
• [cs.CL]Exploiting Cross-Dialectal Gold Syntax for Low-Resource Historical Languages: Towards a Generic Parser for Pre-Modern Slavic
• [cs.CL]Exploring the Value of Personalized Word Embeddings
• [cs.CL]Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
• [cs.CL]Incorporating a Local Translation Mechanism into Non-autoregressive Translation
• [cs.CL]Inference-only sub-character decomposition improves translation of unseen logographic characters
• [cs.CL]Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning
• [cs.CL]Overview of the Ninth Dialog System Technology Challenge: DSTC9
• [cs.CL]SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts
• [cs.CL]Text Augmentation for Language Models in High Error Recognition Scenario
• [cs.CL]Theoretical Knowledge Graph Reasoning via Ending Anchored Rules
• [cs.CL]Towards A Sentiment Analyzer for Low-Resource Languages
• [cs.CL]Towards Semi-Supervised Semantics Understanding from Speech
• [cs.CL]World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews
• [cs.CR]Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
• [cs.CR]Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains
• [cs.CV]Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent
• [cs.CV]Automated Model Compression by Jointly Applied Pruning and Quantization
• [cs.CV]Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
• [cs.CV]DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio
• [cs.CV]Deep Sketch-Based Modeling: Tips and Tricks
• [cs.CV]Deep learning and hand-crafted features for virus image classification
• [cs.CV]Domain Generalization in Biosignal Classification
• [cs.CV]Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning
• [cs.CV]Image Anomaly Detection by Aggregating Deep Pyramidal Representations
• [cs.CV]Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
• [cs.CV]Learning to Segment Dynamic Objects using SLAM Outliers
• [cs.CV]PoseTrackReID: Dataset Description
• [cs.CV]RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
• [cs.CV]SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
• [cs.CV]Shared Prior Learning of Energy-Based Models for Image Reconstruction
• [cs.CV]StrObe: Streaming Object Detection from LiDAR Packets
• [cs.CV]Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks
• [cs.CV]Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs
• [cs.CV]Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation
• [cs.CV]Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance
• [cs.CV]Unsupervised Video Representation Learning by Bidirectional Feature Prediction
• [cs.CV]VCE: Variational Convertor-Encoder for One-Shot Generalization
• [cs.CY]Characterizing the roles of bots during the COVID-19 infodemic on Twitter
• [cs.CY]Colorado in Context: Congressional Redistricting and Competing Fairness Criteria in Colorado
• [cs.DB]Turning Transport Data to Comply with EU Standards while Enabling a Multimodal Transport Knowledge Graph
• [cs.DC]Analysis of the Matrix Event Graph Replicated Data Type
• [cs.DC]Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
• [cs.DC]Reliability Model for Incentive-Driven IoT Energy Services
• [cs.DC]Sketch and Scale: Geo-distributed tSNE and UMAP
• [cs.DC]aether: Distributed system emulation in Common Lisp
• [cs.DM]Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
• [cs.ET]Efficient Solution of Boolean Satisfiability Problems with Digital MemComputing
• [cs.GT]Optimal Collaterals in Multi-Enterprise Investment Networks
• [cs.HC]Goal-driven Command Recommendations for Analysts
• [cs.IT]Bottleneck Problems: Information and Estimation-Theoretic View
• [cs.IT]Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-cell Massive MIMO Systems
• [cs.IT]Federated Learning via Intelligent Reflecting Surface
• [cs.IT]IRS-Assisted Green Communication Systems: Provable Convergence and Robust Optimization
• [cs.IT]Keep the phase! Signal recovery in phase-only compressive sensing
• [cs.IT]Noncoherent Multiuser Chirp Spread Spectrum: Performance with Doppler and Asynchronism
• [cs.IT]Selectively Precoded Polar Codes
• [cs.LG]A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
• [cs.LG]A Transfer Learning Framework for Anomaly Detection Using Model of Normality
• [cs.LG]Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
• [cs.LG]Bi-tuning of Pre-trained Representations
• [cs.LG]Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
• [cs.LG]Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming
• [cs.LG]Deep Partial Multi-View Learning
• [cs.LG]Dirichlet Pruning for Neural Network Compression
• [cs.LG]Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning
• [cs.LG]Distributed Sparse SGD with Majority Voting
• [cs.LG]Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
• [cs.LG]Ensuring Actionable Recourse via Adversarial Training
• [cs.LG]Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization
• [cs.LG]FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
• [cs.LG]Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
• [cs.LG]FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
• [cs.LG]Fed-Focal Loss for imbalanced data classification in Federated Learning
• [cs.LG]Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds
• [cs.LG]FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks
• [cs.LG]GANMEX: One-vs-One Attributions using GAN-based Model Explainability
• [cs.LG]Heterogeneous Data-Aware Federated Learning
• [cs.LG]Hierarchical reinforcement learning for efficient exploration and transfer
• [cs.LG]Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
• [cs.LG]I-POST: Intelligent Point of Sale and Transaction System
• [cs.LG]Image analysis for Alzheimer’s disease prediction: Embracing pathological hallmarks for model architecture design
• [cs.LG]LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
• [cs.LG]Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
• [cs.LG]Learning causal representations for robust domain adaptation
• [cs.LG]Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure
• [cs.LG]Linear Dilation-Erosion Perceptron for Binary Classification
• [cs.LG]Online Influence Maximization under Linear Threshold Model
• [cs.LG]Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network
• [cs.LG]Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
• [cs.LG]Quantifying and Learning Disentangled Representations with Limited Supervision
• [cs.LG]Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
• [cs.LG]Rediscovering alignment relations with Graph Convolutional Networks
• [cs.LG]Reinforcement Learning with Videos: Combining Offline Observations with Interaction
• [cs.LG]Relation-weighted Link Prediction for Disease Gene Identification
• [cs.LG]Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
• [cs.LG]Robust and Stable Black Box Explanations
• [cs.LG]Self-supervised Graph Representation Learning via Bootstrapping
• [cs.LG]Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
• [cs.LG]Statistical learning for change point and anomaly detection in graphs
• [cs.LG]Testing for Typicality with Respect to an Ensemble of Learned Distributions
• [cs.LG]Towards NNGP-guided Neural Architecture Search
• [cs.LG]Transformers for One-Shot Visual Imitation
• [cs.LG]Two-stage Training of Graph Neural Networks for Graph Classification
• [cs.LG]When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
• [cs.LG]When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity
• [cs.NE]Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions
• [cs.NE]Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows
• [cs.NE]Realization of Stochastic Neural Networks and Its Potential Applications
• [cs.NI]Machine Learning Interpretability Meets TLS Fingerprinting
• [cs.RO]3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
• [cs.RO]A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton
• [cs.RO]Accessible Torque Bandwidth of a Series Elastic Actuator Considering the Thermodynamic Limitations
• [cs.RO]Adaptive Force-based Control for Legged Robots
• [cs.RO]Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements
• [cs.RO]Autonomous Obstacle Legipulation with a Hexapod Robot
• [cs.RO]Comparing Piezoresistive Substrates for Tactile Sensing in Dexterous Hands
• [cs.RO]Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
• [cs.RO]Correlating grip force signals from multiple sensors highlights prehensile control strategies in a complex task-user system
• [cs.RO]Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
• [cs.RO]Fast robust peg-in-hole insertion with continuous visual servoing
• [cs.RO]Fit2Form: 3D Generative Model for Robot Gripper Form Design
• [cs.RO]Global Position Control on Underactuated Bipedal Robots: Step-to-step Dynamics Approximation for Step Planning
• [cs.RO]I Know What You Meant: Learning Human Objectives by (Under)estimating Their Choice Set
• [cs.RO]Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation
• [cs.RO]Iterative Surface Mapping Using Local Geometry Approximation with Sparse Measurements During Robotic Tooling Tasks
• [cs.RO]Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
• [cs.RO]Model-based Reinforcement Learning from Signal Temporal Logic Specifications
• [cs.RO]Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning
• [cs.RO]Multi-Hypothesis Interactions in Game-Theoretic Motion Planning
• [cs.RO]On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study
• [cs.RO]Parameter Optimization for Loop Closure Detection in Closed Environments
• [cs.RO]Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
• [cs.RO]Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot
• [cs.RO]Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements
• [cs.RO]Stress Testing Method for Scenario Based Testing of Automated Driving Systems
• [cs.SD]Automatic Neural Lyrics and Melody Composition
• [cs.SD]Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement
• [cs.SI]Football tracking networks: Beyond event-based connectivity
• [cs.SI]Identifying influential nodes in complex networks: Effective distance gravity model
• [cs.SI]Multi-View Dynamic Heterogeneous Information Network Embedding
• [cs.SI]The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
• [econ.EM]Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions
• [econ.EM]Learning to Personalize Treatments When Agents Are Strategic
• [econ.EM]Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models
• [eess.AS]Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis
• [eess.IV]CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays
• [eess.IV]Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
• [eess.IV]Generative and Discriminative Learning for Distorted Image Restoration
• [eess.SP]Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTM
• [eess.SP]Gaussian Compression Stream: Principle and Preliminary Results
• [eess.SY]Low PAPR waveform design for OFDM SYSTEM based on Convolutional Auto-Encoder
• [math.OC]Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
• [math.OC]Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration
• [math.ST]Asymptotic normality of simultaneous estimators of cyclic long-memory processes
• [math.ST]Hypothesis testing with active information
• [math.ST]Maximum sampled conditional likelihood for informative subsampling
• [math.ST]On a general definition of the functional linear model
• [math.ST]Optimal Private Median Estimation under Minimal Distributional Assumptions
• [math.ST]Rank-Based Testing for Semiparametric VAR Models: a measure transportation approach
• [math.ST]Some properties of the unified skew-normal distribution
• [q-bio.PE]Analysis of COVID-19 evolution in Senegal: impact of health care capacity
• [q-bio.PE]SEIR-Campus: Modeling Infectious Diseases on University Campuses
• [q-fin.PM]Dirichlet policies for reinforced factor portfolios
• [quant-ph]Fast semidefinite programming with feedforward neural networks
• [quant-ph]Quantum algorithms for spectral sums
• [quant-ph]When are Adaptive Strategies in Asymptotic Quantum Channel Discrimination Useful?
• [stat.AP]Anomaly Detection of Mobile Positioning Data with Applications to COVID-19 Situational Awareness
• [stat.AP]Exploring Gender Disparities in Time to Diagnosis
• [stat.AP]Policing Chronic and Temporary Hot Spots of Violent Crime: A Controlled Field Experiment
• [stat.AP]Pursuing Open-Source Development of Predictive Algorithms: The Case of Criminal Sentencing Algorithms
• [stat.AP]swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials
• [stat.CO]VARCLUST: clustering variables using dimensionality reduction
• [stat.ME]A Bootstrap Based Between-Study Heterogeneity Test in Meta-Analysis
• [stat.ME]A Framework for Mediation Analysis with Multiple Exposures, Multivariate Mediators, and Non-Linear Response Models
• [stat.ME]Bayes Optimal Informer Sets for Early-Stage Drug Discovery
• [stat.ME]Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures
• [stat.ME]Conflating marginal and conditional treatment effects: Comments on ‘Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study’
• [stat.ME]Fundamentals of path analysis in the social sciences
• [stat.ME]Generalized Kernel Two-Sample Tests
• [stat.ME]MCMC computations for Bayesian mixture models using repulsive point processes
• [stat.ME]On the Formalism of The Screening Paradox
• [stat.ME]Robust approach for variable selection with high dimensional Logitudinal data analysis
• [stat.ME]Robust multi-stage model-based design of optimal experiments for nonlinear estimation
• [stat.ME]Shift identification in time varying regression quantiles
• [stat.ML]A partition-based similarity for classification distributions
• [stat.ML]An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel
• [stat.ML]Clustering of Big Data with Mixed Features
• [stat.ML]How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points
• [stat.ML]Implicit bias of gradient-descent: fast convergence rate
• [stat.ML]Kernel k-Means, By All Means: Algorithms and Strong Consistency
• [stat.ML]Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks
• [stat.ML]Sparse within Sparse Gaussian Processes using Neighbor Information
• [stat.ML]Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory
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• [cs.AI]A Knowledge Representation Approach to Automated Mathematical Modelling
Bahadorreza Ofoghi, Vicky Mak, John Yearwood
http://arxiv.org/abs/2011.06300v1
• [cs.AI]A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments
Manish Bhattarai, Manel Martinez-Ramon
http://arxiv.org/abs/2011.06450v1
• [cs.AI]Griddly: A platform for AI research in games
Chris Bamford, Shengyi Huang, Simon Lucas
http://arxiv.org/abs/2011.06363v1
• [cs.AI]Performance of Bounded-Rational Agents With the Ability to Self-Modify
Jakub Tětek, Marek Sklenka, Tomáš Gavenčiak
http://arxiv.org/abs/2011.06275v1
• [cs.AI]Quality4.0 — Transparent product quality supervision in the age of Industry 4.0
Jens Brandenburger, Christoph Schirm, Josef Melcher, Edgar Hancke, Marco Vannucci, Valentina Colla, Silvia Cateni, Rami Sellami, Sébastien Dupont, Annick Majchrowski, Asier Arteaga
http://arxiv.org/abs/2011.06502v1
• [cs.CL]An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text
Kexin Huang, Sankeerth Garapati, Alexander S. Rich
http://arxiv.org/abs/2011.06504v1
• [cs.CL]Analyzing Neural Discourse Coherence Models
Youmna Farag, Josef Valvoda, Helen Yannakoudakis, Ted Briscoe
http://arxiv.org/abs/2011.06306v1
• [cs.CL]Augmenting BERT Carefully with Underrepresented Linguistic Features
Aparna Balagopalan, Jekaterina Novikova
http://arxiv.org/abs/2011.06153v1
• [cs.CL]Author’s Sentiment Prediction
Mohaddeseh Bastan, Mahnaz Koupaee, Youngseo Son, Richard Sicoli, Niranjan Balasubramanian
http://arxiv.org/abs/2011.06128v1
• [cs.CL]Biomedical Named Entity Recognition at Scale
Veysel Kocaman, David Talby
http://arxiv.org/abs/2011.06315v1
• [cs.CL]Cross-lingual and Multilingual Spoken Term Detection for Low-Resource Indian Languages
Sanket Shah, Satarupa Guha, Simran Khanuja, Sunayana Sitaram
http://arxiv.org/abs/2011.06226v1
• [cs.CL]Enabling Interactive Transcription in an Indigenous Community
Éric Le Ferrand, Steven Bird, Laurent Besacier
http://arxiv.org/abs/2011.06198v1
• [cs.CL]Exploiting Cross-Dialectal Gold Syntax for Low-Resource Historical Languages: Towards a Generic Parser for Pre-Modern Slavic
Nilo Pedrazzini
http://arxiv.org/abs/2011.06467v1
• [cs.CL]Exploring the Value of Personalized Word Embeddings
Charles Welch, Jonathan K. Kummerfeld, Verónica Pérez-Rosas, Rada Mihalcea
http://arxiv.org/abs/2011.06057v1
• [cs.CL]Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit Sheth, Jeremiah Schumm
http://arxiv.org/abs/2011.06149v1
• [cs.CL]Incorporating a Local Translation Mechanism into Non-autoregressive Translation
Xiang Kong, Zhisong Zhang, Eduard Hovy
http://arxiv.org/abs/2011.06132v1
• [cs.CL]Inference-only sub-character decomposition improves translation of unseen logographic characters
Danielle Saunders, Weston Feely, Bill Byrne
http://arxiv.org/abs/2011.06523v1
• [cs.CL]Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning
Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory Robbins, Shibani Mukerji, Sahar Zafar, Nicole Benson, Lidia Moura, John Hsu, Bradley T. Hyman, Michael B. Westover, Deborah Blacker, Sudeshna Das
http://arxiv.org/abs/2011.06489v1
• [cs.CL]Overview of the Ninth Dialog System Technology Challenge: DSTC9
Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D’Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David Traum, Maxine Eskenazi, Ahmad Beirami, Eunjoon, Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba
http://arxiv.org/abs/2011.06486v1
• [cs.CL]SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts
Chanika Ruchini Mudalige, Dilini Karunarathna, Isanka Rajapaksha, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera, Ramesh Pathirana
http://arxiv.org/abs/2011.06326v1
• [cs.CL]Text Augmentation for Language Models in High Error Recognition Scenario
Karel Beneš, Lukáš Burget
http://arxiv.org/abs/2011.06056v1
• [cs.CL]Theoretical Knowledge Graph Reasoning via Ending Anchored Rules
Canlin Zhang, Yoshiki Vazquez-Baeza, Andrew Bartko, Chun-Nan Hsu, Ho-Cheol Kim, Yannis Katsis
http://arxiv.org/abs/2011.06174v1
• [cs.CL]Towards A Sentiment Analyzer for Low-Resource Languages
Dian Indriani, Arbi Haza Nasution, Winda Monika, Salhazan Nasution
http://arxiv.org/abs/2011.06382v1
• [cs.CL]Towards Semi-Supervised Semantics Understanding from Speech
Cheng-I Lai, Jin Cao, Sravan Bodapati, Shang-Wen Li
http://arxiv.org/abs/2011.06195v1
• [cs.CL]World Trade Center responders in their own words: Predicting PTSD symptom trajectories with AI-based language analyses of interviews
Youngseo Son, Sean A. P. Clouston, Roman Kotov, Johannes C. Eichstaedt, Evelyn J. Bromet, Benjamin J. Luft, H Andrew Schwartz
http://arxiv.org/abs/2011.06457v1
• [cs.CR]Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
Haoxiang Wang, Jiasheng Zhang, Chenbei Lu, Chenye Wu
http://arxiv.org/abs/2011.06205v1
• [cs.CR]Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains
Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal
http://arxiv.org/abs/2011.06201v1
• [cs.CV]Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent
Stuart Synakowski, Qianli Feng, Aleix Martinez
http://arxiv.org/abs/2011.06219v1
• [cs.CV]Automated Model Compression by Jointly Applied Pruning and Quantization
Wenting Tang, Xingxing Wei, Bo Li
http://arxiv.org/abs/2011.06231v1
• [cs.CV]Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era
Björn Barz, Joachim Denzler
http://arxiv.org/abs/2011.06490v1
• [cs.CV]DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio
Jiangtao Kong, Yu Cheng, Kai Li, Junliang Xing
http://arxiv.org/abs/2011.06228v1
• [cs.CV]Deep Sketch-Based Modeling: Tips and Tricks
Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song
http://arxiv.org/abs/2011.06133v1
• [cs.CV]Deep learning and hand-crafted features for virus image classification
Loris Nanni, Eugenio De Luca, Marco Ludovico Facin
http://arxiv.org/abs/2011.06123v1
• [cs.CV]Domain Generalization in Biosignal Classification
Theekshana Dissanayake, Tharindu Fernando, Simon Denman, Houman Ghaemmaghami, Sridha Sridharan, Clinton Fookes
http://arxiv.org/abs/2011.06207v1
• [cs.CV]Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement Learning
Dongseok Shim, H. Jin Kim
http://arxiv.org/abs/2011.06190v1
• [cs.CV]Image Anomaly Detection by Aggregating Deep Pyramidal Representations
Pankaj Mishra, Claudio Piciarelli, Gian Luca Foresti
http://arxiv.org/abs/2011.06288v1
• [cs.CV]Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study
Veysel Kocaman, Ofer M. Shir, Thomas Bäck
http://arxiv.org/abs/2011.06319v1
• [cs.CV]Learning to Segment Dynamic Objects using SLAM Outliers
Adrian Bojko, Romain Dupont, Mohamed Tamaazousti, Hervé Le Borgne
http://arxiv.org/abs/2011.06259v1
• [cs.CV]PoseTrackReID: Dataset Description
Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall
http://arxiv.org/abs/2011.06243v1
• [cs.CV]RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou
http://arxiv.org/abs/2011.06294v1
• [cs.CV]SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
Md Jahidul Islam, Ruobing Wang, Karin de Langis, Junaed Sattar
http://arxiv.org/abs/2011.06252v1
• [cs.CV]Shared Prior Learning of Energy-Based Models for Image Reconstruction
Thomas Pinetz, Erich Kobler, Thomas Pock, Alexander Effland
http://arxiv.org/abs/2011.06539v1
• [cs.CV]StrObe: Streaming Object Detection from LiDAR Packets
Davi Frossard, Simon Suo, Sergio Casas, James Tu, Rui Hu, Raquel Urtasun
http://arxiv.org/abs/2011.06425v1
• [cs.CV]Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks
Zhe Xu, Jiangpeng Yan, Jie Luo, William Wells, Xiu Li, Jayender Jagadeesan
http://arxiv.org/abs/2011.06214v1
• [cs.CV]Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs
Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun
http://arxiv.org/abs/2011.06165v1
• [cs.CV]Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
http://arxiv.org/abs/2011.06337v1
• [cs.CV]Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance
Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan
http://arxiv.org/abs/2011.06216v1
• [cs.CV]Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Nadine Behrmann, Juergen Gall, Mehdi Noroozi
http://arxiv.org/abs/2011.06037v1
• [cs.CV]VCE: Variational Convertor-Encoder for One-Shot Generalization
Chengshuai Li, Shuai Han, Jianping Xing
http://arxiv.org/abs/2011.06246v1
• [cs.CY]Characterizing the roles of bots during the COVID-19 infodemic on Twitter
Wentao Xu, Kazutoshi Sasahara
http://arxiv.org/abs/2011.06249v1
• [cs.CY]Colorado in Context: Congressional Redistricting and Competing Fairness Criteria in Colorado
Jeanne Clelland, Haley Colgate, Daryl DeFord, Beth Malmskog, Flavia Sancier-Barbosa
http://arxiv.org/abs/2011.06049v1
• [cs.DB]Turning Transport Data to Comply with EU Standards while Enabling a Multimodal Transport Knowledge Graph
Mario Scrocca, Marco Comerio, Alessio Carenini, Irene Celino
http://arxiv.org/abs/2011.06423v1
• [cs.DC]Analysis of the Matrix Event Graph Replicated Data Type
Florian Jacob, Carolin Beer, Norbert Henze, Hannes Hartenstein
http://arxiv.org/abs/2011.06488v1
• [cs.DC]Coded Computing for Low-Latency Federated Learning over Wireless Edge Networks
Saurav Prakash, Sagar Dhakal, Mustafa Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat
http://arxiv.org/abs/2011.06223v1
• [cs.DC]Reliability Model for Incentive-Driven IoT Energy Services
Amani Abusafia, Athman Bouguettaya
http://arxiv.org/abs/2011.06159v1
• [cs.DC]Sketch and Scale: Geo-distributed tSNE and UMAP
Viska Wei, Nikita Ivkin, Vladimir Braverman, Alexander Szalay
http://arxiv.org/abs/2011.06103v1
• [cs.DC]aether: Distributed system emulation in Common Lisp
Eric C. Peterson, Peter J. Karalekas
http://arxiv.org/abs/2011.06180v1
• [cs.DM]Focal points and their implications for Möbius Transforms and Dempster-Shafer Theory
Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui
http://arxiv.org/abs/2011.06549v1
• [cs.ET]Efficient Solution of Boolean Satisfiability Problems with Digital MemComputing
S. R. B. Bearden, Y. R. Pei, M. Di Ventra
http://arxiv.org/abs/2011.06551v1
• [cs.GT]Optimal Collaterals in Multi-Enterprise Investment Networks
Moshe Babaioff, Yoav Kolumbus, Eyal Winter
http://arxiv.org/abs/2011.06247v1
• [cs.HC]Goal-driven Command Recommendations for Analysts
Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin
http://arxiv.org/abs/2011.06237v1
• [cs.IT]Bottleneck Problems: Information and Estimation-Theoretic View
Shahab Asoodeh, Flavio Calmon
http://arxiv.org/abs/2011.06208v1
• [cs.IT]Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-cell Massive MIMO Systems
Jiajia Guo, Chao-Kai Wen, Shi Jin
http://arxiv.org/abs/2011.06099v1
• [cs.IT]Federated Learning via Intelligent Reflecting Surface
Zhibin Wang, Jiahang Qiu, Yong Zhou, Yuanming Shi, Liqun Fu, Wei Chen, Khaled B. Lataief
http://arxiv.org/abs/2011.05051v2
• [cs.IT]IRS-Assisted Green Communication Systems: Provable Convergence and Robust Optimization
Xianghao Yu, Dongfang Xu, Derrick Wing Kwan Ng, Robert Schober
http://arxiv.org/abs/2011.06484v1
• [cs.IT]Keep the phase! Signal recovery in phase-only compressive sensing
Laurent Jacques, Thomas Feuillen
http://arxiv.org/abs/2011.06499v1
• [cs.IT]Noncoherent Multiuser Chirp Spread Spectrum: Performance with Doppler and Asynchronism
Nozhan Hosseini, David W. Matolak
http://arxiv.org/abs/2011.06575v1
• [cs.IT]Selectively Precoded Polar Codes
Samir Kumar Mishra, KwangChul Kim
http://arxiv.org/abs/2011.04930v2
• [cs.LG]A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul Fieguth, Abbas Khosravi, U Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi
http://arxiv.org/abs/2011.06225v1
• [cs.LG]A Transfer Learning Framework for Anomaly Detection Using Model of Normality
Sulaiman Aburakhia, Tareq Tayeh, Ryan Myers, Abdallah Shami
http://arxiv.org/abs/2011.06210v1
• [cs.LG]Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting
Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
http://arxiv.org/abs/2011.06220v1
• [cs.LG]Bi-tuning of Pre-trained Representations
Jincheng Zhong, Ximei Wang, Zhi Kou, Jianmin Wang, Mingsheng Long
http://arxiv.org/abs/2011.06182v1
• [cs.LG]Challenges of Applying Deep Reinforcement Learning in Dynamic Dispatching
Hamed Khorasgani, Haiyan Wang, Chetan Gupta
http://arxiv.org/abs/2011.05570v1
• [cs.LG]Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming
Mounssif Krouka, Anis Elgabli, Mohammed S. Elbamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal
http://arxiv.org/abs/2011.06356v1
• [cs.LG]Deep Partial Multi-View Learning
Changqing Zhang, Yajie Cui, Zongbo Han, Joey Tianyi Zhou, Huazhu Fu, Qinghua Hu
http://arxiv.org/abs/2011.06170v1
• [cs.LG]Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski, Mijung Park
http://arxiv.org/abs/2011.05985v1
• [cs.LG]Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning
Yuan Jin, Wray Buntine, Francois Petitjean, Geoffrey I. Webb
http://arxiv.org/abs/2011.06428v1
• [cs.LG]Distributed Sparse SGD with Majority Voting
Kerem Ozfatura, Emre Ozfatura, Deniz Gunduz
http://arxiv.org/abs/2011.06495v1
• [cs.LG]Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers
Antoine Prouvost, Justin Dumouchelle, Lara Scavuzzo, Maxime Gasse, Didier Chételat, Andrea Lodi
http://arxiv.org/abs/2011.06069v1
• [cs.LG]Ensuring Actionable Recourse via Adversarial Training
Alexis Ross, Himabindu Lakkaraju, Osbert Bastani
http://arxiv.org/abs/2011.06146v1
• [cs.LG]Evaluating Curriculum Learning Strategies in Neural Combinatorial Optimization
Michal Lisicki, Arash Afkanpour, Graham W. Taylor
http://arxiv.org/abs/2011.06188v1
• [cs.LG]FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi
http://arxiv.org/abs/2011.06104v1
• [cs.LG]Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification
Robert Adragna, Elliot Creager, David Madras, Richard Zemel
http://arxiv.org/abs/2011.06485v1
• [cs.LG]FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad
http://arxiv.org/abs/2011.06033v1
• [cs.LG]Fed-Focal Loss for imbalanced data classification in Federated Learning
Dipankar Sarkar, Ankur Narang, Sumit Rai
http://arxiv.org/abs/2011.06283v1
• [cs.LG]Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds
Erik Drysdale, Devin Singh, Anna Goldenberg
http://arxiv.org/abs/2011.06058v1
• [cs.LG]FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks
Md. Khaledur Rahman, Majedul Haque Sujon, Ariful Azad
http://arxiv.org/abs/2011.06391v1
• [cs.LG]GANMEX: One-vs-One Attributions using GAN-based Model Explainability
Sheng-Min Shih, Pin-Ju Tien, Zohar Karnin
http://arxiv.org/abs/2011.06015v1
• [cs.LG]Heterogeneous Data-Aware Federated Learning
Lixuan Yang, Cedric Beliard, Dario Rossi
http://arxiv.org/abs/2011.06393v1
• [cs.LG]Hierarchical reinforcement learning for efficient exploration and transfer
Lorenzo Steccanella, Simone Totaro, Damien Allonsius, Anders Jonsson
http://arxiv.org/abs/2011.06335v1
• [cs.LG]Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas
http://arxiv.org/abs/2011.06125v1
• [cs.LG]I-POST: Intelligent Point of Sale and Transaction System
Farid Khan
http://arxiv.org/abs/2011.06144v1
• [cs.LG]Image analysis for Alzheimer’s disease prediction: Embracing pathological hallmarks for model architecture design
Sarah C. Brüningk, Felix Hensel, Catherine R. Jutzeler, Bastian Rieck
http://arxiv.org/abs/2011.06531v1
• [cs.LG]LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang
http://arxiv.org/abs/2011.06176v1
• [cs.LG]Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
http://arxiv.org/abs/2011.06301v1
• [cs.LG]Learning causal representations for robust domain adaptation
Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
http://arxiv.org/abs/2011.06317v1
• [cs.LG]Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure
Angelica Lourenço Oliveira, Marcos Eduardo Valle
http://arxiv.org/abs/2011.06512v1
• [cs.LG]Linear Dilation-Erosion Perceptron for Binary Classification
Angelica Lourenço Oliveira, Marcos Eduardo Valle
http://arxiv.org/abs/2011.05989v1
• [cs.LG]Online Influence Maximization under Linear Threshold Model
Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
http://arxiv.org/abs/2011.06378v1
• [cs.LG]Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network
Juhyeon Kim
http://arxiv.org/abs/2011.06175v1
• [cs.LG]Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics
Jan Drgona, Aaron R. Tuor, Vikas Chandan, Draguna L. Vrabie
http://arxiv.org/abs/2011.05987v1
• [cs.LG]Quantifying and Learning Disentangled Representations with Limited Supervision
Loek Tonnaer, Luis A. Pérez Rey, Vlado Menkovski, Mike Holenderski, Jacobus W. Portegies
http://arxiv.org/abs/2011.06070v1
• [cs.LG]Real-World Anomaly Detection by using Digital Twin Systems and Weakly-Supervised Learning
Andrea Castellani, Sebastian Schmitt, Stefano Squartini
http://arxiv.org/abs/2011.06296v1
• [cs.LG]Rediscovering alignment relations with Graph Convolutional Networks
Pierre Monnin, Chedy Raïssi, Amedeo Napoli, Adrien Coulet
http://arxiv.org/abs/2011.06023v1
• [cs.LG]Reinforcement Learning with Videos: Combining Offline Observations with Interaction
Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn
http://arxiv.org/abs/2011.06507v1
• [cs.LG]Relation-weighted Link Prediction for Disease Gene Identification
Srivamshi Pittala, William Koehler, Jonathan Deans, Daniel Salinas, Martin Bringmann, Katharina Sophia Volz, Berk Kapicioglu
http://arxiv.org/abs/2011.05138v2
• [cs.LG]Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
Jack Parker-Holder, Luke Metz, Cinjon Resnick, Hengyuan Hu, Adam Lerer, Alistair Letcher, Alex Peysakhovich, Aldo Pacchiano, Jakob Foerster
http://arxiv.org/abs/2011.06505v1
• [cs.LG]Robust and Stable Black Box Explanations
Himabindu Lakkaraju, Nino Arsov, Osbert Bastani
http://arxiv.org/abs/2011.06169v1
• [cs.LG]Self-supervised Graph Representation Learning via Bootstrapping
Feihu Che, Guohua Yang, Dawei Zhang, Jianhua Tao, Pengpeng Shao, Tong Liu
http://arxiv.org/abs/2011.05126v2
• [cs.LG]Sparse PCA: Algorithms, Adversarial Perturbations and Certificates
Tommaso d’Orsi, Pravesh K. Kothari, Gleb Novikov, David Steurer
http://arxiv.org/abs/2011.06585v1
• [cs.LG]Statistical learning for change point and anomaly detection in graphs
Anna Malinovskaya, Philipp Otto, Torben Peters
http://arxiv.org/abs/2011.06080v1
• [cs.LG]Testing for Typicality with Respect to an Ensemble of Learned Distributions
Forrest Laine, Claire Tomlin
http://arxiv.org/abs/2011.06041v1
• [cs.LG]Towards NNGP-guided Neural Architecture Search
Daniel S. Park, Jaehoon Lee, Daiyi Peng, Yuan Cao, Jascha Sohl-Dickstein
http://arxiv.org/abs/2011.06006v1
• [cs.LG]Transformers for One-Shot Visual Imitation
Sudeep Dasari, Abhinav Gupta
http://arxiv.org/abs/2011.0597
ab5
0v1
ab5
0v1)
• [cs.LG]Two-stage Training of Graph Neural Networks for Graph Classification
Manh Tuan Do, Noseong Park, Kijung Shin
http://arxiv.org/abs/2011.05097v2
• [cs.LG]When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju
http://arxiv.org/abs/2011.06167v1
• [cs.LG]When deep learning models on GPU can be accelerated by taking advantage of unstructured sparsity
Marcin Pietroń Dominik Żurek
http://arxiv.org/abs/2011.06295v1
• [cs.NE]Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions
Wesley H. Brigner, Naimul Hassan, Xuan Hu, Christopher H. Bennett, Felipe Garcia-Sanchez, Can Cui, Alvaro Velasquez, Matthew J. Marinella, Jean Anne C. Incorvia, Joseph S. Friedman
http://arxiv.org/abs/2011.06075v1
• [cs.NE]Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows
Shengcai Liu, Ke Tang, Xin Yao
http://arxiv.org/abs/2011.06331v1
• [cs.NE]Realization of Stochastic Neural Networks and Its Potential Applications
S. Rahimi Kari
http://arxiv.org/abs/2011.06427v1
• [cs.NI]Machine Learning Interpretability Meets TLS Fingerprinting
Mahdi Jafari Siavoshani, Amir Hossein Khajepour, Amirmohammad Ziaei, Amir Ali Gatmiri, Ali Taheri
http://arxiv.org/abs/2011.06304v1
• [cs.RO]3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
Hsiao-Yu Fish Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki
http://arxiv.org/abs/2011.06464v1
• [cs.RO]A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton
Xikai Tu, Minhan Li, Ming Liu, Jennie Si, He, Huang
http://arxiv.org/abs/2011.06116v1
• [cs.RO]Accessible Torque Bandwidth of a Series Elastic Actuator Considering the Thermodynamic Limitations
Bhanuka Silva, Navinda Kottege
http://arxiv.org/abs/2011.06217v1
• [cs.RO]Adaptive Force-based Control for Legged Robots
Mohsen Sombolestan, Yiyu Chen, Quan Nguyen
http://arxiv.org/abs/2011.06236v1
• [cs.RO]Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements
Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos
http://arxiv.org/abs/2011.06235v1
• [cs.RO]Autonomous Obstacle Legipulation with a Hexapod Robot
Bethany Lu, Benjamin Tam, Navinda Kottege
http://arxiv.org/abs/2011.06227v1
• [cs.RO]Comparing Piezoresistive Substrates for Tactile Sensing in Dexterous Hands
Rebecca Miles, Martin Matak, Mohanraj Devendran Shanthi, Darrin Young, Tucker Hermans
http://arxiv.org/abs/2011.06048v1
• [cs.RO]Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
Li Duan, Gerardo Aragon-Camarasa
http://arxiv.org/abs/2011.06089v1
• [cs.RO]Correlating grip force signals from multiple sensors highlights prehensile control strategies in a complex task-user system
Birgitta Dresp-Langley, Florent Nageotte, Philippe Zanne, Michel de Mathelin
http://arxiv.org/abs/2011.06452v1
• [cs.RO]Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
Michael Danielczuk, Ashwin Balakrishna, Daniel S. Brown, Shivin Devgon, Ken Goldberg
http://arxiv.org/abs/2011.05632v2
• [cs.RO]Fast robust peg-in-hole insertion with continuous visual servoing
Rasmus Laurvig Haugaard, Jeppe Langaa, Christoffer Sloth, Anders Glent Buch
http://arxiv.org/abs/2011.06399v1
• [cs.RO]Fit2Form: 3D Generative Model for Robot Gripper Form Design
Huy Ha, Shubham Agrawal, Shuran Song
http://arxiv.org/abs/2011.06498v1
• [cs.RO]Global Position Control on Underactuated Bipedal Robots: Step-to-step Dynamics Approximation for Step Planning
Xiaobin Xiong, Jenna Reher, Aaron Ames
http://arxiv.org/abs/2011.06050v1
• [cs.RO]I Know What You Meant: Learning Human Objectives by (Under)estimating Their Choice Set
Ananth Jonnavittula, Dylan P. Losey
http://arxiv.org/abs/2011.06118v1
• [cs.RO]Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation
Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg
http://arxiv.org/abs/2011.06163v1
• [cs.RO]Iterative Surface Mapping Using Local Geometry Approximation with Sparse Measurements During Robotic Tooling Tasks
Manuel Amersdorfer, Thomas Meurer
http://arxiv.org/abs/2011.06375v1
• [cs.RO]Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)
Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono
http://arxiv.org/abs/2011.06022v1
• [cs.RO]Model-based Reinforcement Learning from Signal Temporal Logic Specifications
Parv Kapoor, Anand Balakrishnan, Jyotirmoy V. Deshmukh
http://arxiv.org/abs/
1000
/2011.04950v1
1000
/2011.04950v1)
• [cs.RO]Motion Generation Using Bilateral Control-Based Imitation Learning with Autoregressive Learning
Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji
http://arxiv.org/abs/2011.06192v1
• [cs.RO]Multi-Hypothesis Interactions in Game-Theoretic Motion Planning
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire Tomlin
http://arxiv.org/abs/2011.06047v1
• [cs.RO]On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study
Bo Yu, Jie Tang, Shaoshan Liu
http://arxiv.org/abs/2011.06277v1
• [cs.RO]Parameter Optimization for Loop Closure Detection in Closed Environments
Nils Rottmann, Ralf Bruder, Honghu Xue, Achim Schweikard, Elmar Rueckert
http://arxiv.org/abs/2011.06286v1
• [cs.RO]Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta
http://arxiv.org/abs/2011.06431v1
• [cs.RO]Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot
Jonas Gonzalez-Billandon, Lukas Grasse, Matthew Tata, Alessandra Sciutti, Francesco Rea
http://arxiv.org/abs/2011.06544v1
• [cs.RO]Sensors for expert grip force profiling: towards benchmarking manual control of a robotic device for surgical tool movements
Michel de Mathelin, Florent Nageotte, Philippe Zanne, Birgitta Dresp-Langley
http://arxiv.org/abs/2011.06449v1
• [cs.RO]Stress Testing Method for Scenario Based Testing of Automated Driving Systems
Demin Nalic, Hexuan Li, Arno Eichberger, Christoph Wellershaus, Aleksa Pandurevic, Branko Rogic
http://arxiv.org/abs/2011.06553v1
• [cs.SD]Automatic Neural Lyrics and Melody Composition
Gurunath Reddy Madhumani, Yi Yu, Florian Harscoët, Simon Canales, Suhua Tang
http://arxiv.org/abs/2011.06380v1
• [cs.SD]Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker Adaptation and Pronunciation Enhancement
Hamed Hemati, Damian Borth
http://arxiv.org/abs/2011.06392v1
• [cs.SI]Football tracking networks: Beyond event-based connectivity
J. M. Buldu, D. Garrido, D. R. Antequera, J. Busquets, E. Estrada, R. Resta, R. Lopez del Campo
http://arxiv.org/abs/2011.06014v1
• [cs.SI]Identifying influential nodes in complex networks: Effective distance gravity model
Qiuyan Shang, Yong Deng, Kang Hao Cheong
http://arxiv.org/abs/2011.06348v1
• [cs.SI]Multi-View Dynamic Heterogeneous Information Network Embedding
Zhenghao Zhang, Jianbin Huang, Qinglin Tan
http://arxiv.org/abs/2011.06346v1
• [cs.SI]The Role of the Crowd in Countering Misinformation: A Case Study of the COVID-19 Infodemic
Nicholas Micallef, Bing He, Srijan Kumar, Mustaque Ahamad, Nasir Memon
http://arxiv.org/abs/2011.05773v2
• [econ.EM]Gaussian Transforms Modeling and the Estimation of Distributional Regression Functions
Richard Spady, Sami Stouli
http://arxiv.org/abs/2011.06416v1
• [econ.EM]Learning to Personalize Treatments When Agents Are Strategic
Evan Munro
http://arxiv.org/abs/2011.06528v1
• [econ.EM]Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models
Jiafeng Chen, Daniel L. Chen, Greg Lewis
http://arxiv.org/abs/2011.06158v1
• [eess.AS]Hierarchical Prosody Modeling for Non-Autoregressive Speech Synthesis
Chung-Ming Chien, Hung-yi Lee
http://arxiv.org/abs/2011.06465v1
• [eess.IV]CheXphotogenic: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays
Pranav Rajpurkar, Anirudh Joshi, Anuj Pareek, Jeremy Irvin, Andrew Y. Ng, Matthew Lungren
http://arxiv.org/abs/2011.06129v1
• [eess.IV]Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto
http://arxiv.org/abs/2011.06224v1
• [eess.IV]Generative and Discriminative Learning for Distorted Image Restoration
Yi Gu, Yuting Gao, Jie Li, Chentao Wu, Weijia Jia
http://arxiv.org/abs/2011.05784v2
• [eess.SP]Atrial Fibrillation Detection and ECG Classification based on CNN-BiLSTM
Jiacheng Wang, Weiheng Li
http://arxiv.org/abs/2011.06187v1
• [eess.SP]Gaussian Compression Stream: Principle and Preliminary Results
Farouk Yahaya, Matthieu Puigt, Gilles Delmaire, Gilles Roussel
http://arxiv.org/abs/2011.05390v2
• [eess.SY]Low PAPR waveform design for OFDM SYSTEM based on Convolutional Auto-Encoder
Yara Huleihel, Eilam Ben-Dror, Haim H. Permuter
http://arxiv.org/abs/2011.06349v1
• [math.OC]Non-local Optimization: Imposing Structure on Optimization Problems by Relaxation
Nils Müller, Tobias Glasmachers
http://arxiv.org/abs/2011.06064v1
• [math.OC]Relative Lipschitzness in Extragradient Methods and a Direct Recipe for Acceleration
Michael B. Cohen, Aaron Sidford, Kevin Tian
http://arxiv.org/abs/2011.06572v1
• [math.ST]Asymptotic normality of simultaneous estimators of cyclic long-memory processes
Antoine Ayache, Myriam Fradon, Ravindi Nanayakkara, Andriy Olenko
http://arxiv.org/abs/2011.06229v1
• [math.ST]Hypothesis testing with active information
Daniel Andrés Díaz-Pachón, Juan Pablo Sáenz, J. Sunil Rao
http://arxiv.org/abs/2011.04834v2
• [math.ST]Maximum sampled conditional likelihood for informative subsampling
HaiYing Wang, Jae Kwang Kim
http://arxiv.org/abs/2011.05988v1
• [math.ST]On a general definition of the functional linear model
José R. Berrendero, Alejandro Cholaquidis, Antonio Cuevas
http://arxiv.org/abs/2011.05441v2
• [math.ST]Optimal Private Median Estimation under Minimal Distributional Assumptions
Christos Tzamos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ilias Zadik
http://arxiv.org/abs/2011.06202v1
• [math.ST]Rank-Based Testing for Semiparametric VAR Models: a measure transportation approach
Marc Hallin, Davide La Vecchia, Hang Liu
http://arxiv.org/abs/2011.06062v1
• [math.ST]Some properties of the unified skew-normal distribution
Reinaldo B. Arellano-Valle, Adelchi Azzalini
http://arxiv.org/abs/2011.06316v1
• [q-bio.PE]Analysis of COVID-19 evolution in Senegal: impact of health care capacity
Mouhamed M. Fall, Babacar M. Ndiaye, Ousmane Seydi, Diaraf Seck
http://arxiv.org/abs/2011.06278v1
• [q-bio.PE]SEIR-Campus: Modeling Infectious Diseases on University Campuses
Matthew Zalesak, Samitha Samaranayake
http://arxiv.org/abs/2011.06124v1
• [q-fin.PM]Dirichlet policies for reinforced factor portfolios
Eric André, Guillaume Coqueret
http://arxiv.org/abs/2011.05381v2
• [quant-ph]Fast semidefinite programming with feedforward neural networks
Tamás Kriváchy, Yu Cai, Joseph Bowles, Daniel Cavalcanti, Nicolas Brunner
http://arxiv.org/abs/2011.05785v2
• [quant-ph]Quantum algorithms for spectral sums
Alessandro Luongo, Changpeng Shao
http://arxiv.org/abs/2011.06475v1
• [quant-ph]When are Adaptive Strategies in Asymptotic Quantum Channel Discrimination Useful?
Farzin Salek, Masahito Hayashi, Andreas Winter
http://arxiv.org/abs/2011.06569v1
• [stat.AP]Anomaly Detection of Mobile Positioning Data with Applications to COVID-19 Situational Awareness
Stefano Maria Iacus, Francesco Sermi, Spyridon Spyratos, Dario Tarchi, Michele Vespe
http://arxiv.org/abs/2011.04356v2
• [stat.AP]Exploring Gender Disparities in Time to Diagnosis
Tony Y. Sun, Oliver J. Bear Don’t Walk IV, Jennifer L. Chen, Harry Reyes Nieva, Noémie Elhadad
http://arxiv.org/abs/2011.06100v1
• [stat.AP]Policing Chronic and Temporary Hot Spots of Violent Crime: A Controlled Field Experiment
Dylan J. Fitzpatrick, Wilpen L. Gorr, Daniel B. Neill
http://arxiv.org/abs/2011.06019v1
• [stat.AP]Pursuing Open-Source Development of Predictive Algorithms: The Case of Criminal Sentencing Algorithms
Philip D. Waggoner, Alec Macmillen
http://arxiv.org/abs/2011.06422v1
• [stat.AP]swdpwr: A SAS Macro and An R Package for Power Calculation in Stepped Wedge Cluster Randomized Trials
Jiachen Chen, Xin Zhou, Fan Li, Donna Spiegelman
http://arxiv.org/abs/2011.06031v1
• [stat.CO]VARCLUST: clustering variables using dimensionality reduction
Piotr Sobczyk, Stanislaw Wilczynski, Malgorzata Bogdan, Piotr Graczyk, Julie Josse, Fabien Panloup, Valérie Seegers, Mateusz Staniak
http://arxiv.org/abs/2011.06501v1
• [stat.ME]A Bootstrap Based Between-Study Heterogeneity Test in Meta-Analysis
Han Du, Ge Jiang, Zijun Ke
http://arxiv.org/abs/2011.06172v1
• [stat.ME]A Framework for Mediation Analysis with Multiple Exposures, Multivariate Mediators, and Non-Linear Response Models
James P. Long, Ehsan Irajizad, James D. Doecke, Kim-Anh Do, Min Jin Ha
http://arxiv.org/abs/2011.06061v1
• [stat.ME]Bayes Optimal Informer Sets for Early-Stage Drug Discovery
Peng Yu, Spencer S. Ericksen, Anthony Gitter, Michael A. Newton
http://arxiv.org/abs/2011.06122v1
• [stat.ME]Bayesian inference for transportation origin-destination matrices: the Poisson-inverse Gaussian and other Poisson mixtures
Konstantinos Perrakis, Dimitris Karlis, Mario Cools, Davy Janssens
http://arxiv.org/abs/2011.06045v1
• [stat.ME]Conflating marginal and conditional treatment effects: Comments on ‘Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study’
Antonio Remiro-Azócar, Anna Heath, Gianluca Baio
http://arxiv.org/abs/2011.06334v1
• [stat.ME]Fundamentals of path analysis in the social sciences
R. Dennis Cook, Liliana Forzani
http://arxiv.org/abs/2011.06436v1
• [stat.ME]Generalized Kernel Two-Sample Tests
Hoseung Song, Hao Chen
http://arxiv.org/abs/2011.06127v1
• [stat.ME]MCMC computations for Bayesian mixture models using repulsive point processes
Mario Beraha, Raffaele Argiento, Jesper Møller, Alessandra Guglielmi
http://arxiv.org/abs/2011.06444v1
• [stat.ME]On the Formalism of The Screening Paradox
Jacques Balayla
http://arxiv.org/abs/2011.06032v1
• [stat.ME]Robust approach for variable selection with high dimensional Logitudinal data analysis
Liya Fu, Jiaqi Li, You-Gan Wang
http://arxiv.org/abs/2011.06241v1
• [stat.ME]Robust multi-stage model-based design of optimal experiments for nonlinear estimation
Anwesh Reddy Gottu Mukkula, Michal Mateáš, Miroslav Fikar, Radoslav Paulen
http://arxiv.org/abs/2011.06042v1
• [stat.ME]Shift identification in time varying regression quantiles
Subhra Sankar Dhar, Weichi Wu
http://arxiv.org/abs/2011.06333v1
• [stat.ML]A partition-based similarity for classification distributions
Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christoper M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe
http://arxiv.org/abs/2011.06557v1
• [stat.ML]An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel
Huan Qing, Jingli Wang
http://arxiv.org/abs/2011.06374v1
• [stat.ML]Clustering of Big Data with Mixed Features
Joshua Tobin, Mimi Zhang
http://arxiv.org/abs/2011.06043v1
• [stat.ML]How to Measure Gender Bias in Machine Translation: Optimal Translators, Multiple Reference Points
Anna Farkas, Renáta Németh
http://arxiv.org/abs/2011.06445v1
• [stat.ML]Implicit bias of gradient-descent: fast convergence rate
Elvis Dohmatob
http://arxiv.org/abs/2011.06550v1
• [stat.ML]Kernel k-Means, By All Means: Algorithms and Strong Consistency
Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu
http://arxiv.org/abs/2011.06461v1
• [stat.ML]Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks
Niall Jeffrey, Benjamin D. Wandelt
http://arxiv.org/abs/2011.05991v1
• [stat.ML]Sparse within Sparse Gaussian Processes using Neighbor Information
Gia-Lac Tran, Dimitrios Milios, Pietro Michiardi, Maurizio Filippone
http://arxiv.org/abs/2011.05041v2
• [stat.ML]Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory
Yunbei Xu, Assaf Zeevi
http://arxiv.org/abs/2011.06186v1
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