astro-ph.GA - 星系天体物理学
astro-ph.IM - 仪器仪表和天体物理学方法 cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-ph - 高能物理现象学 math.NA - 数值分析 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.comp-ph - 计算物理学 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.GA]A catalog of broad morphology of Pan-STARRS galaxies based on deep learning
• [astro-ph.IM]Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
• [cond-mat.dis-nn]Unfolding recurrence by Green’s functions for optimized reservoir computing
• [cs.AI]A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches
• [cs.AI]Accelerating the Development of Multimodal, Integrative-AI Systems with Platform for Situated Intelligence
• [cs.AI]Algorithm for inferring multiple microbial networks
• [cs.AI]Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer’s Disease: a systematic review
• [cs.AI]Causal Structure Learning: a Bayesian approach based on random graphs
• [cs.AI]Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems
• [cs.AI]Implementation of a neural network for non-linearities estimation in a tail-sitter aircraft
• [cs.AI]Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm
• [cs.AI]Neighborhood Preserving Kernels for Attributed Graphs
• [cs.AI]Temporal Collaborative Filtering with Graph Convolutional Neural Networks
• [cs.AI]Thinking Fast and Slow in AI
• [cs.AR]PIUMA: Programmable Integrated Unified Memory Architecture
• [cs.CC]Optimal Low-Degree Hardness of Maximum Independent Set
• [cs.CC]Trace Reconstruction Problems in Computational Biology
• [cs.CL]Annotationsaurus: A Searchable Directory of Annotation Tools
• [cs.CL]Are Some Words Worth More than Others?
• [cs.CL]Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options
• [cs.CL]Aspect-based Document Similarity for Research Papers
• [cs.CL]BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance
• [cs.CL]BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media
• [cs.CL]BRUMS at SemEval-2020 Task 3: Contextualised Embeddings forPredicting the (Graded) Effect of Context in Word Similarity
• [cs.CL]BioMegatron: Larger Biomedical Domain Language Model
• [cs.CL]CAPT: Contrastive Pre-Training for LearningDenoised Sequence Representations
• [cs.CL]COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
• [cs.CL]Chatbot Interaction with Artificial Intelligence: Human Data Augmentation with T5 and Language Transformer Ensemble for Text Classification
• [cs.CL]Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring
• [cs.CL]Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
• [cs.CL]Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement
• [cs.CL]Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!
• [cs.CL]End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
• [cs.CL]Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
• [cs.CL]Extending Implicit Discourse Relation Recognition to the PDTB-3
• [cs.CL]F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering
• [cs.CL]FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching
• [cs.CL]Fine-grained linguistic evaluation for state-of-the-art Machine Translation
• [cs.CL]Gender Coreference and Bias Evaluation at WMT 2020
• [cs.CL]Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model
• [cs.CL]Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance
• [cs.CL]Improving Text Generation with Student-Forcing Optimal Transport
• [cs.CL]Incorporating BERT into Parallel Sequence Decoding with Adapters
• [cs.CL]Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension
• [cs.CL]KLearn: Background Knowledge Inference from Summarization Data
• [cs.CL]Look It Up: Bilingual and Monolingual Dictionaries Improve Neural Machine Translation
• [cs.CL]Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
• [cs.CL]Measuring and Reducing Gendered Correlations in Pre-trained Models
• [cs.CL]Mitigating Gender Bias in Machine Translation with Target Gender Annotations
• [cs.CL]Model Selection for Cross-Lingual Transfer using a Learned Scoring Function
• [cs.CL]Modeling the Music Genre Perception across Language-Bound Cultures
• [cs.CL]Multilingual Argument Mining: Datasets and Analysis
• [cs.CL]Multilingual Factual Knowledge Retrieval from Pretrained Language Models
• [cs.CL]NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task
• [cs.CL]Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language
• [cs.CL]Perceptimatic: A human speech perception benchmark for unsupervised subword modelling
• [cs.CL]RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction
• [cs.CL]ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
• [cs.CL]RuSemShift: a dataset of historical lexical semantic change in Russian
• [cs.CL]SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search
• [cs.CL]Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
• [cs.CL]TextHide: Tackling Data Privacy in Language Understanding Tasks
• [cs.CL]The Extraordinary Failure of Complement Coercion Crowdsourcing
• [cs.CL]The Tatoeba Translation Challenge — Realistic Data Sets for Low Resource and Multilingual MT
• [cs.CL]The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
• [cs.CL]The workweek is the best time to start a family — A Study of GPT-2 Based Claim Generation
• [cs.CL]Towards Induction of Structured Phoneme Inventories
• [cs.CL]Towards Machine Translation for the Kurdish Language
• [cs.CL]Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling
• [cs.CL]Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language
• [cs.CL]XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
• [cs.CL]Zero-shot Entity Linking with Efficient Long Range Sequence Modeling
• [cs.CR]COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
• [cs.CR]CrypTFlow2: Practical 2-Party Secure Inference
• [cs.CR]Lightweight IoT Malware Detection Solution Using CNN Classification
• [cs.CV]A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures
• [cs.CV]A Scale and Rotational Invariant Key-point Detector based on Sparse Coding
• [cs.CV]A review of 3D human pose estimation algorithms for markerless motion capture
• [cs.CV]A translational pathway of deep learning methods in GastroIntestinal Endoscopy
• [cs.CV]Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion
• [cs.CV]Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
• [cs.CV]Coarse and fine-grained automatic cropping deep convolutional neural network
• [cs.CV]Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
• [cs.CV]Contrast and Classify: Alternate Training for Robust VQA
• [cs.CV]Correlation Filter for UAV-Based Aerial Tracking: A Review and Experimental Evaluation
• [cs.CV]Cut-and-Paste Neural Rendering
• [cs.CV]DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video
• [cs.CV]Deep Learning for Recognizing Mobile Targets in Satellite Imagery
• [cs.CV]Detecting Anomalies from Video-Sequences: a Novel Descriptor
• [cs.CV]DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
• [cs.CV]Electroencephalography signal processing based on textural features for monitoring the driver’s state by a Brain-Computer Interface
• [cs.CV]Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study
• [cs.CV]Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization
• [cs.CV]How important are faces for person re-identification?
• [cs.CV]ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
• [cs.CV]Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device
• [cs.CV]Improving Road Signs Detection performance by Combining the Features of Hough Transform and Texture
• [cs.CV]Infant Pose Learning with Small Data
• [cs.CV]LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
• [cs.CV]Land Cover Semantic Segmentation Using ResUNet
• [cs.CV]Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
• [cs.CV]Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories
• [cs.CV]MedICaT: A Dataset of Medical Images, Captions, and Textual References
• [cs.CV]MixCo: Mix-up Contrastive Learning for Visual Representation
• [cs.CV]RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
• [cs.CV]Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection
• [cs.CV]Satellite Image Classification with Deep Learning
• [cs.CV]Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation
• [cs.CV]Shape-Texture Debiased Neural Network Training
• [cs.CV]Spectral Synthesis for Satellite-to-Satellite Translation
• [cs.CV]Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
• [cs.CV]Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images
• [cs.CV]Towards human performance on automatic motion tracking of infant spontaneous movements
• [cs.CV]Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis
• [cs.CV]Universal Model for 3D Medical Image Analysis
• [cs.CV]When Wireless Communications Meet Computer Vision in Beyond 5G
• [cs.CY]Analysis of Users Reaction around Impeachment in Peru using Twitter
• [cs.CY]Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
• [cs.DC]Autotuning Search Space for Loop Transformations
• [cs.DC]Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data
• [cs.DC]CryptMPI: A Fast Encrypted MPI Library
• [cs.DC]Data Engineering for HPC with Python
• [cs.DC]FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data
• [cs.DC]IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads
• [cs.DC]Microsecond Consensus for Microsecond Applications
• [cs.DC]Modeling and Analysis of Market Blockchain-based Data Trading in NB-IoT Networks
• [cs.DC]On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
• [cs.DC]Performance Evaluation and Modeling of Cryptographic Libraries for MPI Communications
• [cs.DC]RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers(technical report)
• [cs.DC]mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards
• [cs.DS]General lower bounds for interactive high-dimensional estimation under information constraints
• [cs.GT]ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
• [cs.HC]EmoG- Towards Emojifying Gmail Conversations
• [cs.HC]Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions
• [cs.IR]Artist-driven layering and user’s behaviour impact on recommendations in a playlist continuation scenario
• [cs.IR]Assessing the Helpfulness of Review Content for Explaining Recommendations
• [cs.IR]Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants
• [cs.IR]Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization
• [cs.IR]Pretrained Transformers for Text Ranking: BERT and Beyond
• [cs.IT]Butson full propelinear codes
• [cs.IT]Cache Updating Strategy Minimizing the Age of Information with Time-Varying Files’ Popularities
• [cs.IT]Lattice (List) Decoding Near Minkowski’s Inequality
• [cs.IT]Learning to Cache: Distributed Coded Caching in a Cellular Network With Correlated Demands
• [cs.IT]Massive MIMO for Cellular-Connected UAV: Challenges and Promising Solutions
• [cs.IT]New Formulas of Feedback Capacity for AGN Channels with Memory: A Time-Domain Sufficient Statistic Approach
• [cs.IT]On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks
• [cs.IT]On the Fundamental Limits of Cache-aided Multiuser Private Information Retrieval
• [cs.IT]Quantifying Membership Privacy via Information Leakage
• [cs.IT]Re-Transmission Diversity Multiple Access based on SIC and HARQ-IR
• [cs.IT]Transmit Covariance and Waveform Optimization for Non-orthogonal CP-FBMA System
• [cs.IT]Uplink Channel Estimation for Double-IRS Assisted Multi-User MIMO
• [cs.LG]A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price
• [cs.LG]A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines
• [cs.LG]A first look into the carbon footprint of federated learning
• [cs.LG]Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates
• [cs.LG]Adapting to Delays and Data in Adversarial Multi-Armed Bandits
• [cs.LG]An Information-Theoretic Perspective on Overfitting and Underfitting
• [cs.LG]Balancing Constraints and Rewards with Meta-Gradient D4PG
• [cs.LG]Class-Weighted Evaluation Metrics for Imbalanced Data Classification
• [cs.LG]Controllable Pareto Multi-Task Learning
• [cs.LG]Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
• [cs.LG]Credit card fraud detection using machine learning: A survey
• [cs.LG]Cross-Domain Few-Shot Learning by Representation Fusion
• [cs.LG]Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
• [cs.LG]Differential radial basis function network for sequence modelling
• [cs.LG]Direct Federated Neural Architecture Search
• [cs.LG]FaiR-N: Fair and Robust Neural Networks for Structured Data
• [cs.LG]Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach
• [cs.LG]Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold
• [cs.LG]How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks
• [cs.LG]Inverse Multiobjective Optimization Through Online Learning
• [cs.LG]Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties
• [cs.LG]Machine learning for the diagnosis of Parkinson’s disease: A systematic review
• [cs.LG]Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control
• [cs.LG]On the Fairness of Causal Algorithmic Recourse
• [cs.LG]On the Power of Abstention and Data-Driven Decision Making for Adversarial Robustness
• [cs.LG]Oort: Informed Participant Selection for Scalable Federated Learning
• [cs.LG]Provable Benefits of Representation Learning in Linear Bandits
• [cs.LG]Regret minimization in stochastic non-convex learning via a proximal-gradient approach
• [cs.LG]Revisiting BFloat16 Training
• [cs.LG]S3ML: A Secure Serving System for Machine Learning Inference
• [cs.LG]Signal classification using weighted orthogonal regression method
• [cs.LG]Similarity Based Stratified Splitting: an approach to train better classifiers
• [cs.LG]Simultaneously forecasting global geomagnetic activity using Recurrent Networks
• [cs.LG]To be Robust or to be Fair: Towards Fairness in Adversarial Training
• [cs.LG]Toward Few-step Adversarial Training from a Frequency Perspective
• [cs.LG]Which Model to Transfer? Finding the Needle in the Growing Haystack
• [cs.NE]Activation function impact on Sparse Neural Networks
• [cs.NE]Deep Reservoir Computing with Learned Hidden Reservoir Weights using Direct Feedback Alignment
• [cs.NE]It’s the Journey Not the Destination: Building Genetic Algorithms Practitioners Can Trust
• [cs.NE]TUTOR: Training Neural Networks Using Decision Rules as Model Priors
• [cs.NE]Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity
• [cs.PL]Scenic: A Language for Scenario Specification and Data Generation
• [cs.RO]Behavior Trees in Action: A Study of Robotics Applications
• [cs.RO]Bio-inspired Obstacle Avoidance for Flying Robots with Active Sensing
• [cs.RO]Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
• [cs.RO]Labeling the Phrase Set of the Conversation Agent, Rinna
• [cs.RO]Mass Estimation in Manipulation Tasks of Domestic Service Robots using Fault Reconstruction Techniques
• [cs.RO]Preliminary Development of a Wearable Device to Help Children with Unilateral Cerebral Palsy Increase Their Consciousness of Their Upper Extremity
• [cs.RO]Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation
• [cs.RO]Robots State Estimation and Observability Analysis Based on Statistical Motion Models
• [cs.RO]Swarming of Aerial Robots with Markov Random Field Optimization
• [cs.RO]Variable impedance control and learning — A review
• [cs.RO]Whole-Body MPC and Online Gait Sequence Generation for Wheeled-Legged Robots
• [cs.SD]A Lightweight Speaker Recognition System Using Timbre Properties
• [cs.SD]The Cone of Silence: Speech Separation by Localization
• [cs.SI]Automatic Extraction of Urban Outdoor Perception from Geolocated Free-Texts
• [cs.SI]Probabilistic Social Learning Improves the Public’s Detection of Misinformation
• [econ.GN]Monitoring War Destruction from Space: A Machine Learning Approach
• [eess.IV]Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI
• [eess.IV]Procedural 3D Terrain Generation using Generative Adversarial Networks
• [eess.SP]D2D Assisted Multi-antenna Coded Caching
• [eess.SY]Average Cost Optimal Control of Stochastic Systems Using Reinforcement Learning
• [eess.SY]Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value
• [hep-ph]Simulation-based inference methods for particle physics
• [math.NA]Projection techniques to update the truncated SVD of evolving matrices
• [math.ST]Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function
• [math.ST]Entropy-based test for generalized Gaussian distributions
• [math.ST]Generalized Rescaled Pólya urn and its statistical applications
• [math.ST]Parameter Estimation in an SPDE Model for Cell Repolarisation
• [math.ST]Tail asymptotics for the bivariate equi-skew Variance-Gamma distribution
• [physics.ao-ph]Weather Radar in Nepal: Opportunities and Challenges in Mountainous Region
• [physics.comp-ph]Stochastic embeddings of dynamical phenomena through variational autoencoders
• [q-bio.PE]Bayesian Weighted Triplet and Quartet Methods for Species Tree Inference
• [q-bio.QM]Automation of Hemocompatibility Analysis Using Image Segmentation and a Random Forest
• [q-bio.QM]Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests
• [quant-ph]Experimental Quantum Generative Adversarial Networks for Image Generation
• [stat.AP]Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation
• [stat.AP]Conditional Power and Friends: The Why and How of (Un)planned, Unblinded Sample Size Recalculations in Confirmatory Trials
• [stat.AP]Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis
• [stat.AP]Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants
• [stat.AP]Modeling and Probababilistic Forecasting of Natural Gas Prices
• [stat.AP]The intersection of location-allocation and clustering
• [stat.ME]A Matching Procedure for Sequential Experiments that Iteratively Learns which Covariates Improve Power
• [stat.ME]A Model-free Approach for Testing Association
• [stat.ME]A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
• [stat.ME]Bayesian inference under small sample size — A noninformative prior approach
• [stat.ME]Interpretable pathological test for Cardio-vascular disease: Approximate Bayesian computation with distance learning
• [stat.ME]Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
• [stat.ME]Rough-Fuzzy CPD: A Gradual Change Point Detection Algorithm
• [stat.ME]Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO
• [stat.ME]Treed distributed lag non-linear models
• [stat.ML]Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks
• [stat.ML]Penalized model-based clustering of fMRI data
• [stat.ML]Point Process Modeling of Drug Overdoses with Heterogeneous and Missing Data
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• [astro-ph.GA]A catalog of broad morphology of Pan-STARRS galaxies based on deep learning
Hunter Goddard, Lior Shamir
http://arxiv.org/abs/2010.06073v1
• [astro-ph.IM]Active learning with RESSPECT: Resource allocation for extragalactic astronomical transients
Noble Kennamer, Emille E. O. Ishida, Santiago Gonzalez-Gaitan, Rafael S. de Souza, Alexander Ihler, Kara Ponder, Ricardo Vilalta, Anais Moller, David O. Jones, Mi Dai, Alberto Krone-Martins, Bruno Quint, Sreevarsha Sreejith, Alex I. Malz, Lluis Galbany
http://arxiv.org/abs/2010.05941v1
• [cond-mat.dis-nn]Unfolding recurrence by Green’s functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut, Moritz Helias
http://arxiv.org/abs/2010.06247v1
• [cs.AI]A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches
Sonia Baee, Mark Rucker, Anna Baglione, Mawulolo K. Ameko, Laura Barnes
http://arxiv.org/abs/2010.06059v1
• [cs.AI]Accelerating the Development of Multimodal, Integrative-AI Systems with Platform for Situated Intelligence
Sean Andrist, Dan Bohus
http://arxiv.org/abs/2010.06084v1
• [cs.AI]Algorithm for inferring multiple microbial networks
Sahar Tavakoli
http://arxiv.org/abs/2010.05909v1
• [cs.AI]Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer’s Disease: a systematic review
Sofia de la Fuente Garcia, Craig Ritchie, Saturnino Luz
http://arxiv.org/abs/2010.06047v1
• [cs.AI]Causal Structure Learning: a Bayesian approach based on random graphs
Mauricio Gonzalez-Soto, Ivan R. Feliciano-Avelino, L. Enrique Sucar, Hugo J. Escalante Balderas
http://arxiv.org/abs/2010.06164v1
• [cs.AI]Deep Reinforcement Learning for Real-Time Optimization of Pumps in Water Distribution Systems
Gergely Hajgató, György Paál, Bálint Gyires-Tóth
http://arxiv.org/abs/2010.06460v1
• [cs.AI]Implementation of a neural network for non-linearities estimation in a tail-sitter aircraft
A. Flores, G. Flores
http://arxiv.org/abs/2010.06049v1
• [cs.AI]Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm
Beren Millidge, Alexander Tschantz, Anil Seth, Christopher L Buckley
http://arxiv.org/abs/2010.06219v1
• [cs.AI]Neighborhood Preserving Kernels for Attributed Graphs
Asif Salim, Shiju. S. S, Sumitra. S
http://arxiv.org/abs/2010.06261v1
• [cs.AI]Temporal Collaborative Filtering with Graph Convolutional Neural Networks
Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis
http://arxiv.org/abs/2010.06425v1
• [cs.AI]Thinking Fast and Slow in AI
Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jon Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava
http://arxiv.org/abs/2010.06002v1
• [cs.AR]PIUMA: Programmable Integrated Unified Memory Architecture
Sriram Aananthakrishnan, Nesreen K. Ahmed, Vincent Cave, Marcelo Cintra, Yigit Demir, Kristof Du Bois, Stijn Eyerman, Joshua B. Fryman, Ivan Ganev, Wim Heirman, Hans-Christian Hoppe, Jason Howard, Ibrahim Hur, MidhunChandra Kodiyath, Samkit Jain, Daniel S. Klowden, Marek M. Landowski, Laurent Montigny, Ankit More, Przemyslaw Ossowski, Robert Pawlowski, Nick Pepperling, Fabrizio Petrini, Mariusz Sikora, Balasubramanian Seshasayee, Shaden Smith, Sebastian Szkoda, Sanjaya Tayal, Jesmin Jahan Tithi, Yves Vandriessche, Izajasz P. Wrosz
http://arxiv.org/abs/2010.06277v1
• [cs.CC]Optimal Low-Degree Hardness of Maximum Independent Set
Alexander S. Wein
http://arxiv.org/abs/2010.06563v1
• [cs.CC]Trace Reconstruction Problems in Computational Biology
Vinnu Bhardwaj, Pavel A. Pevzner, Cyrus Rashtchian, Yana Safonova
http://arxiv.org/abs/2010.06083v1
• [cs.CL]Annotationsaurus: A Searchable Directory of Annotation Tools
Mariana neves, Jurica Seva
http://arxiv.org/abs/2010.06251v1
• [cs.CL]Are Some Words Worth More than Others?
Shiran Dudy, Steven Bedrick
http://arxiv.org/abs/2010.06069v1
• [cs.CL]Asking Crowdworkers to Write Entailment Examples: The Best of Bad Options
Clara Vania, Ruijie Chen, Samuel R. Bowman
http://arxiv.org/abs/2010.06122v1
• [cs.CL]Aspect-based Document Similarity for Research Papers
Malte Ostendorff, Terry Ruas, Till Blume, Bela Gipp, Georg Rehm
http://arxiv.org/abs/2010.06395v1
• [cs.CL]BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance
Jianquan Li, Xiaokang Liu, Honghong Zhao, Ruifeng Xu, Min Yang, Yaohong Jin
http://arxiv.org/abs/2010.06133v1
• [cs.CL]BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media
Tharindu Ranasinghe, Hansi Hettiarachchi
http://arxiv.org/abs/2010.06278v1
• [cs.CL]BRUMS at SemEval-2020 Task 3: Contextualised Embeddings forPredicting the (Graded) Effect of Context in Word Similarity
Hansi Hettiarachchi, Tharindu Ranasinghe
http://arxiv.org/abs/2010.06269v1
• [cs.CL]BioMegatron: Larger Biomedical Domain Language Model
Hoo-Chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani
http://arxiv.org/abs/2010.06060v1
• [cs.CL]CAPT: Contrastive Pre-Training for LearningDenoised Sequence Representations
Fuli Luo, Pengcheng Yang, Shicheng Li, Xuancheng Ren, Xu Sun
http://arxiv.org/abs/2010.06351v1
• [cs.CL]COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
http://arxiv.org/abs/2010.05953v1
• [cs.CL]Chatbot Interaction with Artificial Intelligence: Human Data Augmentation with T5 and Language Transformer Ensemble for Text Classification
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
http://arxiv.org/abs/2010.05990v1
• [cs.CL]Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring
Farjana Sultana Mim, Naoya Inoue, Paul Reisert, Hiroki Ouchi, Kentaro Inui
http://arxiv.org/abs/2010.06137v1
• [cs.CL]Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
http://arxiv.org/abs/2010.06310v1
• [cs.CL]Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement
Aaron Mueller, Zach Wood-Doughty, Silvio Amir, Mark Dredze, Alicia L. Nobles
http://arxiv.org/abs/2010.06472v1
• [cs.CL]Does my multimodal model learn cross-modal interactions? It’s harder to tell than you might think!
Jack Hessel, Lillian Lee
http://arxiv.org/abs/2010.06572v1
• [cs.CL]End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems
Siamak Shakeri, Cicero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang
http://arxiv.org/abs/2010.06028v1
• [cs.CL]Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
Peng Cui, Le Hu, Yuanchao Liu
http://arxiv.org/abs/2010.06253v1
• [cs.CL]Extending Implicit Discourse Relation Recognition to the PDTB-3
Li Liang, Zheng Zhao, Bonnie Webber
http://arxiv.org/abs/2010.06294v1
• [cs.CL]F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering
Hendrik Schuff, Heike Adel, Ngoc Thang Vu
http://arxiv.org/abs/2010.06283v1
• [cs.CL]FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching
Xiangru Tang, Alan Aw
http://arxiv.org/abs/2010.05523v2
• [cs.CL]Fine-grained linguistic evaluation for state-of-the-art Machine Translation
Eleftherios Avramidis, Vivien Macketanz, Ursula Strohriegel, Aljoscha Burchardt, Sebastian Möller
http://arxiv.org/abs/2010.06359v1
• [cs.CL]Gender Coreference and Bias Evaluation at WMT 2020
Tom Kocmi, Tomasz Limisiewicz, Gabriel Stanovsky
http://arxiv.org/abs/2010.06018v1
• [cs.CL]Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model
Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao
http://arxiv.org/abs/2010.06040v1
• [cs.CL]Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance
Xi Chen, Nan Ding, Tomer Levinboim, Radu Soricut
http://arxiv.org/abs/2010.06150v1
• [cs.CL]Improving Text Generation with Student-Forcing Optimal Transport
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin
http://arxiv.org/abs/2010.05994v1
• [cs.CL]Incorporating BERT into Parallel Sequence Decoding with Adapters
Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen
http://arxiv.org/abs/2010.06138v1
• [cs.CL]Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension
Ekta Sood, Simon Tannert, Diego Frassinelli, Andreas Bulling, Ngoc Thang Vu
http://arxiv.org/abs/2010.06396v1
• [cs.CL]KLearn: Background Knowledge Inference from Summarization Data
Maxime Peyrard, Robert West
http://arxiv.org/abs/2010.06213v1
• [cs.CL]Look It Up: Bilingual and Monolingual Dictionaries Improve Neural Machine Translation
Xing Jie Zhong, David Chiang
http://arxiv.org/abs/2010.05997v1
• [cs.CL]Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations
Tianqiao Liu, Qian Fang, Wenbiao Ding, Zhongqin Wu, Zitao Liu
http://arxiv.org/abs/2010.06196v1
• [cs.CL]Measuring and Reducing Gendered Correlations in Pre-trained Models
Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov
http://arxiv.org/abs/2010.06032v1
• [cs.CL]Mitigating Gender Bias in Machine Translation with Target Gender Annotations
Toms Bergmanis, Artūrs Stafanovičs, Mārcis Pinnis
http://arxiv.org/abs/2010.06203v1
• [cs.CL]Model Selection for Cross-Lingual Transfer using a Learned Scoring Function
Yang Chen, Alan Ritter
http://arxiv.org/abs/2010.06127v1
• [cs.CL]Modeling the Music Genre Perception across Language-Bound Cultures
Elena V. Epure, Guillaume Salha, Manuel Moussallam, Romain Hennequin
http://arxiv.org/abs/2010.06325v1
• [cs.CL]Multilingual Argument Mining: Datasets and Analysis
Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim
http://arxiv.org/abs/2010.06432v1
• [cs.CL]Multilingual Factual Knowledge Retrieval from Pretrained Language Models
Zhengbao Jiang, Antonios Anastasopoulos, Jun Araki, Haibo Ding, Graham Neubig
http://arxiv.org/abs/2010.06189v1
• [cs.CL]NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task
Alexander Gutkin, Richard Sproat
http://arxiv.org/abs/2010.05985v1
• [cs.CL]Pagsusuri ng RNN-based Transfer Learning Technique sa Low-Resource Language
Dan John Velasco
http://arxiv.org/abs/2010.06447v1
• [cs.CL]Perceptimatic: A human speech perception benchmark for unsupervised subword modelling
Juliette Millet, Ewan Dunbar
http://arxiv.org/abs/2010.05961v1
• [cs.CL]RGCL at SemEval-2020 Task 6: Neural Approaches to Definition Extraction
Tharindu Ranasinghe, Alistair Plum, Constantin Orasan, Ruslan Mitkov
http://arxiv.org/abs/2010.06281v1
• [cs.CL]ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani
http://arxiv.org/abs/2010.06119v1
• [cs.CL]RuSemShift: a dataset of historical lexical semantic change in Russian
Julia Rodina, Andrey Kutuzov
http://arxiv.org/abs/2010.06436v1
• [cs.CL]SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search
Sean MacAvaney, Arman Cohan, Nazli Goharian
http://arxiv.org/abs/2010.05987v1
• [cs.CL]Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks
Yuanhe Tian, Yan Song, Fei Xia
http://arxiv.org/abs/2010.06115v1
• [cs.CL]TextHide: Tackling Data Privacy in Language Understanding Tasks
Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora
http://arxiv.org/abs/2010.06053v1
• [cs.CL]The Extraordinary Failure of Complement Coercion Crowdsourcing
Yanai Elazar, Victoria Basmov, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty
http://arxiv.org/abs/2010.05971v1
• [cs.CL]The Tatoeba Translation Challenge — Realistic Data Sets for Low Resource and Multilingual MT
Jörg Tiedemann
http://arxiv.org/abs/2010.06354v1
• [cs.CL]The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
Ewan Dunbar, Julien Karadayi, Mathieu Bernard, Xuan-Nga Cao, Robin Algayres, Lucas Ondel, Laurent Besacier, Sakriani Sakti, Emmanuel Dupoux
http://arxiv.org/abs/2010.05967v1
• [cs.CL]The workweek is the best time to start a family — A Study of GPT-2 Based Claim Generation
Shai Gretz, Yonatan Bilu, Edo Cohen-Karlik, Noam Slonim
http://arxiv.org/abs/2010.06185v1
• [cs.CL]Towards Induction of Structured Phoneme Inventories
Alexander Gutkin, Martin Jansche, Lucy Skidmore
http://arxiv.org/abs/2010.05959v1
• [cs.CL]Towards Machine Translation for the Kurdish Language
Sina Ahmadi, Mariam Masoud
http://arxiv.org/abs/2010.06041v1
• [cs.CL]Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling
Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang
http://arxiv.org/abs/2010.06030v1
• [cs.CL]Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language
Andrea Zugarini, Matteo Tiezzi, Marco Maggini
http://arxiv.org/abs/2010.05993v1
• [cs.CL]XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization
Alessandro Raganato, Tommaso Pasini, Jose Camacho-Collados, Mohammad Taher Pilehvar
http://arxiv.org/abs/2010.06478v1
• [cs.CL]Zero-shot Entity Linking with Efficient Long Range Sequence Modeling
Zonghai Yao, Liangliang Cao, Huapu Pan
http://arxiv.org/abs/2010.06065v1
• [cs.CR]COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
Anwaar Ulhaq, Oliver Burmeister
http://arxiv.org/abs/2010.06177v1
• [cs.CR]CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma
http://arxiv.org/abs/2010.06457v1
• [cs.CR]Lightweight IoT Malware Detection Solution Using CNN Classification
Ahmad M. N. Zaza, Suleiman K. Kharroub, Mohsen Guizani, Khalid Abualsaud
http://arxiv.org/abs/2010.06286v1
• [cs.CV]A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures
Jinting Wu, Yujia Zhang, Xiaoguang Zhao
http://arxiv.org/abs/2010.06362v1
• [cs.CV]A Scale and Rotational Invariant Key-point Detector based on Sparse Coding
Thanh Hong-Phuoc, Ling Guan
http://arxiv.org/abs/2010.06264v1
• [cs.CV]A review of 3D human pose estimation algorithms for markerless motion capture
Yann Desmarais, Denis Mottet, Pierre Slangen, Philippe Montesinos
http://arxiv.org/abs/2010.06449v1
• [cs.CV]A translational pathway of deep learning methods in GastroIntestinal Endoscopy
Sharib Ali, Mariia Dmitrieva, Noha Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Le Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James East, Jens Rittscher
http://arxiv.org/abs/2010.06034v1
• [cs.CV]Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion
Sunny Verma, Chen Wang, Liming Zhu, Wei Liu
http://arxiv.org/abs/2010.06096v1
• [cs.CV]Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
Akiyoshi Kurobe, Yoshikatsu Nakajima, Hideo Saito, Kris Kitani
http://arxiv.org/abs/2010.06318v1
• [cs.CV]Coarse and fine-grained automatic cropping deep convolutional neural network
Jingfei Chang
http://arxiv.org/abs/2010.06379v1
• [cs.CV]Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
Zongxin Yang, Yunchao Wei, Yi Yang
http://arxiv.org/abs/2010.06349v1
• [cs.CV]Contrast and Classify: Alternate Training for Robust VQA
Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal
http://arxiv.org/abs/2010.06087v1
• [cs.CV]Correlation Filter for UAV-Based Aerial Tracking: A Review and Experimental Evaluation
Changhong Fu, Bowen Li, Fangqiang Ding, Fuling Lin, Geng Lu
http://arxiv.org/abs/2010.06255v1
• [cs.CV]Cut-and-Paste Neural Rendering
Anand Bhattad, David A. Forsyth
http://arxiv.org/abs/
1000
2010.05907v1
1000
2010.05907v1)
• [cs.CV]DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video
Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould
http://arxiv.org/abs/2010.06260v1
• [cs.CV]Deep Learning for Recognizing Mobile Targets in Satellite Imagery
Mark Pritt
http://arxiv.org/abs/2010.06520v1
• [cs.CV]Detecting Anomalies from Video-Sequences: a Novel Descriptor
Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli
http://arxiv.org/abs/2010.06407v1
• [cs.CV]DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets
Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng
http://arxiv.org/abs/2010.06208v1
• [cs.CV]Electroencephalography signal processing based on textural features for monitoring the driver’s state by a Brain-Computer Interface
Giulia Orrù, Marco Micheletto, Fabio Terranova, Gian Luca Marcialis
http://arxiv.org/abs/2010.06412v1
• [cs.CV]Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study
Yichi Zhang, Qingcheng Liao, Jicong Zhang
http://arxiv.org/abs/2010.06163v1
• [cs.CV]Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization
Congqi Cao, Yajuan Li, Qinyi Lv, Peng Wang, Yanning Zhang
http://arxiv.org/abs/2010.06215v1
• [cs.CV]How important are faces for person re-identification?
Julia Dietlmeier, Joseph Antony, Kevin McGuinness, Noel E. O’Connor
http://arxiv.org/abs/2010.06307v1
• [cs.CV]ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
http://arxiv.org/abs/2010.06176v1
• [cs.CV]Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device
Théo Benoit-Cattin, Delia Velasco-Montero, Jorge Fernández-Berni
http://arxiv.org/abs/2010.06291v1
• [cs.CV]Improving Road Signs Detection performance by Combining the Features of Hough Transform and Texture
Tarik Ayaou, Mourad Boussaid, Karim Afdel, Abdellah Amghar
http://arxiv.org/abs/2010.06453v1
• [cs.CV]Infant Pose Learning with Small Data
Xiaofei Huang, Nihang Fu, Sarah Ostadabbas
http://arxiv.org/abs/2010.06100v1
• [cs.CV]LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
Lukas von Stumberg, Patrick Wenzel, Nan Yang, Daniel Cremers
http://arxiv.org/abs/2010.06323v1
• [cs.CV]Land Cover Semantic Segmentation Using ResUNet
Vasilis Pollatos, Loukas Kouvaras, Eleni Charou
http://arxiv.org/abs/2010.06285v1
• [cs.CV]Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
http://arxiv.org/abs/2010.06469v1
• [cs.CV]Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories
Bing Zha, Alper Yilmaz
http://arxiv.org/abs/2010.06117v1
• [cs.CV]MedICaT: A Dataset of Medical Images, Captions, and Textual References
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
http://arxiv.org/abs/2010.06000v1
• [cs.CV]MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun
http://arxiv.org/abs/2010.06300v1
• [cs.CV]RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Hen
http://arxiv.org/abs/2010.06440v1
• [cs.CV]Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection
Qi Shen, Shengjie Zhao, Rongqing Zhang, Bin Zhang
http://arxiv.org/abs/2010.06235v1
• [cs.CV]Satellite Image Classification with Deep Learning
Mark Pritt, Gary Chern
http://arxiv.org/abs/2010.06497v1
• [cs.CV]Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation
Simon Jenni, Paolo Favaro
http://arxiv.org/abs/2010.06218v1
• [cs.CV]Shape-Texture Debiased Neural Network Training
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie
http://arxiv.org/abs/2010.05981v1
• [cs.CV]Spectral Synthesis for Satellite-to-Satellite Translation
Thomas Vandal, Daniel McDuff, Weile Wang, Andrew Michaelis, Ramakrishna Nemani
http://arxiv.org/abs/2010.06045v1
• [cs.CV]Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu
http://arxiv.org/abs/2010.06363v1
• [cs.CV]Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images
He Zhao, Trung Le, Paul Montague, Olivier De Vel, Tamas Abraham, Dinh Phung
http://arxiv.org/abs/2010.06131v1
• [cs.CV]Towards human performance on automatic motion tracking of infant spontaneous movements
Daniel Groos, Lars Adde, Ragnhild Støen, Heri Ramampiaro, Espen A. F. Ihlen
http://arxiv.org/abs/2010.05949v1
• [cs.CV]Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis
Shixiang Feng, Beibei Liu, Ya Zhang, Xiaoyun Zhang, Yuehua Li
http://arxiv.org/abs/2010.06224v1
• [cs.CV]Universal Model for 3D Medical Image Analysis
Xiaoman Zhang, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang
http://arxiv.org/abs/2010.06107v1
• [cs.CV]When Wireless Communications Meet Computer Vision in Beyond 5G
Takayuki Nishio, Yusuke Koda, Jihong Park, Mehdi Bennis, Klaus Doppler
http://arxiv.org/abs/2010.06188v1
• [cs.CY]Analysis of Users Reaction around Impeachment in Peru using Twitter
Josimar Edinson Chire Saire, Esteban Wilfredo Vilca Zuñiga
http://arxiv.org/abs/2010.04877v2
• [cs.CY]Characterizing and Comparing COVID-19 Misinformation Across Languages, Countries and Platforms
Golshan Madraki, Isabella Grasso, Jacqueline Otala, Yu Liu, Jeanna Matthews
http://arxiv.org/abs/2010.06455v1
• [cs.DC]Autotuning Search Space for Loop Transformations
Michael Kruse, Hal Finkel, Xingfu Wu
http://arxiv.org/abs/2010.06521v1
• [cs.DC]Correlation-wise Smoothing: Lightweight Knowledge Extraction for HPC Monitoring Data
Alessio Netti, Daniele Tafani, Michael Ott, Martin Schulz
http://arxiv.org/abs/2010.06186v1
• [cs.DC]CryptMPI: A Fast Encrypted MPI Library
Abu Naser, Cong Wu, Mehran Sadeghi Lahijani, Mohsen Gavahi, Viet Tung Hoang, Zhi Wang, Xin Yuan
http://arxiv.org/abs/2010.06471v1
• [cs.DC]Data Engineering for HPC with Python
Vibhatha Abeykoon, Niranda Perera, Chathura Widanage, Supun Kamburugamuve, Thejaka Amila Kanewala, Hasara Maithree, Pulasthi Wickramasinghe, Ahmet Uyar, Geoffrey Fox
http://arxiv.org/abs/2010.06312v1
• [cs.DC]FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala
http://arxiv.org/abs/2010.05958v1
• [cs.DC]IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads
Aymen Al Saadi, Dario Alfe, Yadu Babuji, Agastya Bhati, Ben Blaiszik, Thomas Brettin, Kyle Chard, Ryan Chard, Peter Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, Andre Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub Van Dam, Shunzhou Wan, David Wifling
http://arxiv.org/abs/2010.06574v1
• [cs.DC]Microsecond Consensus for Microsecond Applications
Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui, Virendra J. Marathe, Athanasios Xygkis, Igor Zablotchi
http://arxiv.org/abs/2010.06288v1
• [cs.DC]Modeling and Analysis of Market Blockchain-based Data Trading in NB-IoT Networks
Lam Duc Nguyen, Israel Leyva-Mayorga, Amari N. Lewis, Petar Popovski
http://arxiv.org/abs/2010.06003v1
• [cs.DC]On the Parallel I/O Optimality of Linear Algebra Kernels: Near-Optimal LU Factorization
Grzegorz Kwasniewski, Tal Ben-Nun, Alexandros Nikolaos Ziogas, Timo Schneider, Maciej Besta, Torsten Hoefler
http://arxiv.org/abs/2010.05975v1
• [cs.DC]Performance Evaluation and Modeling of Cryptographic Libraries for MPI Communications
Abu Naser, Mehran Sadeghi Lahijani, Cong Wu, Mohsen Gavahi, Viet Tung Hoang, Zhi Wang, Xin Yuan
http://arxiv.org/abs/2010.06139v1
• [cs.DC]RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers(technical report)
Hang Zhu, Kostis Kaffes, Zixu Chen, Zhenming Liu, Christos Kozyrakis, Ion Stoica, Xin Jin
http://arxiv.org/abs/2010.05969v1
• [cs.DC]mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards
D. S. Hollman, Bryce Adelstein Lelbach, H. Carter Edwards, Mark Hoemmen, Daniel Sunderland, Christian R. Trott
http://arxiv.org/abs/2010.06474v1
• [cs.DS]General lower bounds for interactive high-dimensional estimation under information constraints
Jayadev Acharya, Clément L. Canonne, Himanshu Tyagi
http://arxiv.org/abs/2010.06562v1
• [cs.GT]ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
Kevin Kuo, Anthony Ostuni, Elizabeth Horishny, Michael J. Curry, Samuel Dooley, Ping-yeh Chiang, Tom Goldstein, John P. Dickerson
http://arxiv.org/abs/2010.06398v1
• [cs.HC]EmoG- Towards Emojifying Gmail Conversations
Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
http://arxiv.org/abs/2010.06403v1
• [cs.HC]Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions
Chang Li, Hideyoshi Yanagisawa
http://arxiv.org/abs/2010.06416v1
• [cs.IR]Artist-driven layering and user’s behaviour impact on recommendations in a playlist continuation scenario
Sebastiano Antenucci, Simone Boglio, Emanuele Chioso, Ervin Dervishaj, Shuwen Kang, Tommaso Scarlatti, Maurizio Ferrari Dacrema
http://arxiv.org/abs/2010.06233v1
• [cs.IR]Assessing the Helpfulness of Review Content for Explaining Recommendations
D. C. Hernandez-Bocanegra, J. Ziegler
http://arxiv.org/abs/2010.06328v1
• [cs.IR]Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants
Luyang Wang, Kai Huang, Jiao Wang, Shengsheng Huang, Jason Dai, Yue Zhuang
http://arxiv.org/abs/2010.06197v1
• [cs.IR]Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization
Ramin Raziperchikolaei, Tianyu Li, Young-joo Chung
http://arxiv.org/abs/2010.06070v1
• [cs.IR]Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy Lin, Rodrigo Nogueira, Andrew Yates
http://arxiv.org/abs/2010.06467v1
• [cs.IT]Butson full propelinear codes
José Andrés Armario, Ivan Bailera, Ronan Egan
http://arxiv.org/abs/2010.06206v1
• [cs.IT]Cache Updating Strategy Minimizing the Age of Information with Time-Varying Files’ Popularities
Haoyue Tang, Philippe Ciblat, Jintao Wang, Michele Wigger, Roy D. Yates
http://arxiv.org/abs/2010.04787v1
• [cs.IT]Lattice (List) Decoding Near Minkowski’s Inequality
Ethan Mook, Chris Peikert
http://arxiv.org/abs/2010.04809v1
• [cs.IT]Learning to Cache: Distributed Coded Caching in a Cellular Network With Correlated Demands
S. Krishnendu, B. N. Bharath, Navneet Garg, Vimal Bhatia, Tharmalingam Ratnarajah
http://arxiv.org/abs/2010.06195v1
• [cs.IT]Massive MIMO for Cellular-Connected UAV: Challenges and Promising Solutions
Yi Huang, Qingqing Wu, Rui Lu, Xiaoming Peng, Rui Zhang
http://arxiv.org/abs/2010.06238v1
• [cs.IT]New Formulas of Feedback Capacity for AGN Channels with Memory: A Time-Domain Sufficient Statistic Approach
Charalambos D. Charalambous, Christos Kourtellaris, Stelios Louka
http://arxiv.org/abs/2010.06226v1
• [cs.IT]On Optimizing the Secrecy Performance of RIS-Assisted Cooperative Networks
Abdullateef Almohamad, Ayman Al-Kababji, Anas Tahir, Tamer Khattab, Mazen Hasna
http://arxiv.org/abs/2010.06052v1
• [cs.IT]On the Fundamental Limits of Cache-aided Multiuser Private Information Retrieval
Xiang Zhang, Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire
http://arxiv.org/abs/2010.06492v1
• [cs.IT]Quantifying Membership Privacy via Information Leakage
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
http://arxiv.org/abs/2010.05965v1
• [cs.IT]Re-Transmission Diversity Multiple Access based on SIC and HARQ-IR
Jinho Choi
http://arxiv.org/abs/2010.06148v1
• [cs.IT]Transmit Covariance and Waveform Optimization for Non-orthogonal CP-FBMA System
Yuhao Qi, Jian Dang, Zaichen Zhang, Liang Wu, Yongpeng Wu
http://arxiv.org/abs/2010.05530v2
• [cs.IT]Uplink Channel Estimation for Double-IRS Assisted Multi-User MIMO
Beixiong Zheng, Changsheng You, Rui Zhang
http://arxiv.org/abs/2010.06155v1
• [cs.LG]A Deep Learning Forecaster with Exogenous Variables for Day-Ahead Locational Marginal Price
Dipanwita Saha, Felipe Lopez
http://arxiv.org/abs/2010.06525v1
• [cs.LG]A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines
Andrei V. Konstantinov, Lev V. Utkin
http://arxiv.org/abs/2010.06026v1
• [cs.LG]A first look into the carbon footprint of federated learning
Xinchi Qiu, Titouan Parcolle, Daniel J. Beutel, Taner Topa, Akhil Mathur, Nicholas D. Lane
http://arxiv.org/abs/2010.06537v1
• [cs.LG]Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates
Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz
http://arxiv.org/abs/2010.06558v1
• [cs.LG]Adapting to Delays and Data in Adversarial Multi-Armed Bandits
András György, Pooria Joulani
http://arxiv.org/abs/2010.06022v1
• [cs.LG]An Information-Theoretic Perspective on Overfitting and Underfitting
Daniel Bashir, George D. Montanez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw
http://arxiv.org/abs/2010.06076v1
• [cs.LG]Balancing Constraints and Rewards with Meta-Gradient D4PG
Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy Mann
http://arxiv.org/abs/2010.06324v1
• [cs.LG]Class-Weighted Evaluation Metrics for Imbalanced Data Classification
Akhilesh Gupta, Nesime Tatbul, Ryan Marcus, Shengtian Zhou, Insup Lee, Justin Gottschlich
http://arxiv.org/abs/2010.05995v1
• [cs.LG]Controllable Pareto Multi-Task Learning
Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong
http://arxiv.org/abs/2010.06313v1
• [cs.LG]Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting
Ghazi Felhi, Joseph Leroux, Djamé Seddah
http://arxiv.org/abs/2010.06549v1
• [cs.LG]Credit card fraud detection using machine learning: A survey
Yvan Lucas, Johannes Jurgovsky
http://arxiv.org/abs/2010.06479v1
• [cs.LG]Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler, Johannes Brandstetter, Michael Widrich, Andreas Mayr, David Kreil, Michael Kopp, Günter Klambauer, Sepp Hochreiter
http://arxiv.org/abs/2010.06498v1
• [cs.LG]Deep Reinforcement Learning and Transportation Research: A Comprehensive Review
Nahid Parvez Farazi, Tanvir Ahamed, Limon Barua, Bo Zou
http://arxiv.org/abs/2010.06187v1
• [cs.LG]Differential radial basis function network for sequence modelling
Kojo Sarfo Gyamfi, James Brusey, Elena Gaura
http://arxiv.org/abs/2010.06178v1
• [cs.LG]Direct Federated Neural Architecture Search
Anubhav Garg, Amit Kumar Saha, Debo Dutta
http://arxiv.org/abs/2010.06223v1
• [cs.LG]FaiR-N: Fair and Robust Neural Networks for Structured Data
Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh
http://arxiv.org/abs/2010.06113v1
• [cs.LG]Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach
Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova
http://arxiv.org/abs/2010.06579v1
• [cs.LG]Gradient Descent Ascent for Min-Max Problems on Riemannian Manifold
Feihu Huang, Shangqian Gao, Heng Huang
http://arxiv.org/abs/2010.06097v1
• [cs.LG]How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks
Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang
http://arxiv.org/abs/2010.05983v1
• [cs.LG]Inverse Multiobjective Optimization Through Online Learning
Chaosheng Dong, Bo Zeng
http://arxiv.org/abs/2010.06140v1
• [cs.LG]Machine Learning for Material Characterization with an Application for Predicting Mechanical Properties
Anke Stoll, Peter Benner
http://arxiv.org/abs/2010.06010v1
• [cs.LG]Machine learning for the diagnosis of Parkinson’s disease: A systematic review
Jie Mei, Christian Desrosiers, Johannes Frasnelli
http://arxiv.org/abs/2010.06101v1
• [cs.LG]Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control
Taku Yamagata, Aisling O’Kane, Amid Ayobi, Dmitri Katz, Katarzyna Stawarz, Paul Marshall, Peter Flach, Raúl Santos-Rodríguez
http://arxiv.org/abs/2010.06266v1
• [cs.LG]On the Fairness of Causal Algorithmic Recourse
Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
http://arxiv.org/abs/2010.06529v1
• [cs.LG]On the Power of Abstention and Data-Driven Decision Making for Adversarial Robustness
Maria-Florina Balcan, Avrim Blum, Dravyansh Sharma, Hongyang Zhang
http://arxiv.org/abs/2010.06154v1
• [cs.LG]Oort: Informed Participant Selection for Scalable Federated Learning
Fan Lai, Xiangfeng Zhu, Harsha V. Madhyastha, Mosharaf Chowdhury
http://arxiv.org/abs/2010.06081v1
• [cs.LG]Provable Benefits of Representation Learning in Linear Bandits
Jiaqi Yang, Wei Hu, Jason D. Lee, Simon S. Du
http://arxiv.org/abs/2010.06531v1
• [cs.LG]Regret minimization in stochastic non-convex learning via a proximal-gradient approach
Nadav Hallak, Panayotis Mertikopoulos, Volkan Cevher
http://arxiv.org/abs/2010.06250v1
• [cs.LG]Revisiting BFloat16 Training
Pedram Zamirai, Jian Zhang, Christopher R. Aberger, Christopher De Sa
http://arxiv.org/abs/2010.06192v1
• [cs.LG]S3ML: A Secure Serving System for Machine Learning Inference
Junming Ma, Chaofan Yu, Aihui Zhou, Bingzhe Wu, Xibin Wu, Xingyu Chen, Xiangqun Chen, Lei Wang, Donggang Cao
http://arxiv.org/abs/2010.06212v1
• [cs.LG]Signal classification using weighted orthogonal regression method
Sahar Tavakoli
http://arxiv.org/abs/2010.05979v1
• [cs.LG]Similarity Based Stratified Splitting: an approach to train better classifiers
Felipe Farias, Teresa Ludermir, Carmelo Bastos-Filho
http://arxiv.org/abs/2010.06099v1
• [cs.LG]Simultaneously forecasting global geomagnetic activity using Recurrent Networks
Charles Topliff, Morris Cohen, William Bristow
http://arxiv.org/abs/2010.06487v1
• [cs.LG]To be Robust or to be Fair: Towards Fairness in Adversarial Training
Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang
http://arxiv.org/abs/2010.06121v1
• [cs.LG]Toward Few-step Adversarial Training from a Frequency Perspective
Hans Shih-Han Wang, Cory Cornelius, Brandon Edwards, Jason Martin
http://arxiv.org/abs/2010.06545v1
• [cs.LG]Which Model to Transfer? Finding the Needle in the Growing Haystack
Cedric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic
http://arxiv.org/abs/2010.06402v1
• [cs.NE]Activation function impact on Sparse Neural Networks
Adam Dubowski
http://arxiv.org/abs/2010.05943v1
• [cs.NE]Deep Reservoir Computing with Learned Hidden Reservoir Weights using Direct Feedback Alignment
Matthew Evanusa, Yiannis Aloimonos, Cornelia Fermüller
http://arxiv.org/abs/2010.06209v1
• [cs.NE]It’s the Journey Not the Destination: Building Genetic Algorithms Practitioners Can Trust
Jakub Vincalek, Sean Walton, Ben Evans
http://arxiv.org/abs/2010.06406v1
• [cs.NE]TUTOR: Training Neural Networks Using Decision Rules as Model Priors
Shayan Hassantabar, Prerit Terway, Niraj K. Jha
http://arxiv.org/abs/2010.05429v2
• [cs.NE]Transforming Neural Network Visual Representations to Predict Human Judgments of Similarity
Maria Attarian, Brett D. Roads, Michael C. Mozer
http://arxiv.org/abs/2010.06512v1
• [cs.PL]Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont, Edward Kim, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia
http://arxiv.org/abs/2010.06580v1
• [cs.RO]Behavior Trees in Action: A Study of Robotics Applications
Razan Ghzouli, Thorsten Berger, Einar Broch Johnsen, Swaib Dragule, Andrzej Wąsowski
http://arxiv.org/abs/2010.06256v1
• [cs.RO]Bio-inspired Obstacle Avoidance for Flying Robots with Active Sensing
Gang Chen, Wei Dong, Xinjun Sheng, Xiangyang Zhu, Han Ding
http://arxiv.org/abs/2010.04977v1
• [cs.RO]Broadly-Exploring, Local-Policy Trees for Long-Horizon Task Planning
Brian Ichter, Pierre Sermanet, Corey Lynch
http://arxiv.org/abs/2010.06491v1
• [cs.RO]Labeling the Phrase Set of the Conversation Agent, Rinna
Naoki Wake, Machiko Sato, Kazuhiro Sasabuchi, Minako Nakamura, Katsushi Ikeuchi
http://arxiv.org/abs/2010.06194v1
• [cs.RO]Mass Estimation in Manipulation Tasks of Domestic Service Robots using Fault Reconstruction Techniques
Marco Negrete, Jesús Savage, José Avendaño
http://arxiv.org/abs/2010.06116v1
• [cs.RO]Preliminary Development of a Wearable Device to Help Children with Unilateral Cerebral Palsy Increase Their Consciousness of Their Upper Extremity
Jade Clouatre, Alexandre Campeau-Lecours, Véronique Flamand
http://arxiv.org/abs/2010.06082v1
• [cs.RO]Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation
E. G. Ribeiro, R. Q. Mendes, V. Grassi Jr
http://arxiv.org/abs/2010.06544v1
• [cs.RO]Robots State Estimation and Observability Analysis Based on Statistical Motion Models
Wei Xu, Dongjiao He, Yixi Cai, Fu Zhang
http://arxiv.org/abs/2010.05957v1
• [cs.RO]Swarming of Aerial Robots with Markov Random Field Optimization
Malintha Fernando, Lantao Liu
http://arxiv.org/abs/2010.06274v1
• [cs.RO]Variable impedance control and learning — A review
Fares J. Abu-Dakka, Matteo Saveriano
http://arxiv.org/abs/2010.06246v1
• [cs.RO]Whole-Body MPC and Online Gait Sequence Generation for Wheeled-Legged Robots
Marko Bjelonic, Ruben Grandia, Oliver Harley, Cla Galliard, Samuel Zimmermann, Marco Hutter
http://arxiv.org/abs/2010.06322v1
• [cs.SD]A Lightweight Speaker Recognition System Using Timbre Properties
Abu Quwsar Ohi, M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, Dongsu Lee, Jinsul Kim
http://arxiv.org/abs/2010.05502v2
• [cs.SD]The Cone of Silence: Speech Separation by Localization
Teerapat Jenrungrot, Vivek Jayaram, Steve Seitz, Ira Kemelmacher-Shlizerman
http://arxiv.org/abs/2010.06007v1
• [cs.SI]Automatic Extraction of Urban Outdoor Perception from Geolocated Free-Texts
Frances Santos, Thiago H Silva, Antonio A F Loureiro, Leandro Villas
http://arxiv.org/abs/2010.06444v1
• [cs.SI]Probabilistic Social Learning Improves the Public’s Detection of Misinformation
Douglas Guilbeault, Samuel Woolley, Joshua Becker
http://arxiv.org/abs/2010.06019v1
• [econ.GN]Monitoring War Destruction from Space: A Machine Learning Approach
Hannes Mueller, Andre Groger, Jonathan Hersh, Andrea Matranga, Joan Serrat
http://arxiv.org/abs/2010.05970v1
• [eess.IV]Assessing Lesion Segmentation Bias of Neural Networks on Motion Corrupted Brain MRI
Tejas Sudharshan Mathai, Yi Wang, Nathan Cross
http://arxiv.org/abs/2010.06027v1
• [eess.IV]Procedural 3D Terrain Generation using Generative Adversarial Networks
Emmanouil Panagiotou, Eleni Charou
http://arxiv.org/abs/2010.06411v1
• [eess.SP]D2D Assisted Multi-antenna Coded Caching
Hamidreza Bakhshzad Mahmoodi, Jarkko Kaleva, Seyed Pooya Shariatpanahi, Antti Tolli
http://arxiv.org/abs/2010.05459v1
• [eess.SY]Average Cost Optimal Control of Stochastic Systems Using Reinforcement Learning
Jing Lai, Junlin Xiong
http://arxiv.org/abs/2010.06236v1
• [eess.SY]Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value
Michael Emmerich, Joost Nibbeling, Marios Kefalas, Aske Plaat
http://arxiv.org/abs/2010.06488v1
• [hep-ph]Simulation-based inference methods for particle physics
Johann Brehmer, Kyle Cranmer
http://arxiv.org/abs/2010.06439v1
• [math.NA]Projection techniques to update the truncated SVD of evolving matrices
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru, Athanasios N. Nikolakopoulos, Lior Horesh, Kenneth L. Clarkson
http://arxiv.org/abs/2010.06392v1
• [math.ST]Analysis of the rate of convergence of fully connected deep neural network regression estimates with smooth activation function
Sophie Langer
http://arxiv.org/abs/2010.06168v1
• [math.ST]Entropy-based test for generalized Gaussian distributions
Mehmet Siddik Cadirci, Dafydd Evans, Nikolai Leonenko, Vitalii Makogin
http://arxiv.org/abs/2010.06284v1
• [math.ST]Generalized Rescaled Pólya urn and its statistical applications
Giacomo Aletti, Irene Crimaldi
http://arxiv.org/abs/2010.06373v1
• [math.ST]Parameter Estimation in an SPDE Model for Cell Repolarisation
Randolf Altmeyer, Till Bretschneider, Josef Janák, Markus Reiß
http://arxiv.org/abs/2010.06340v1
• [math.ST]Tail asymptotics for the bivariate equi-skew Variance-Gamma distribution
Thomas Fung, Eugene Seneta
http://arxiv.org/abs/2010.06153v1
• [physics.ao-ph]Weather Radar in Nepal: Opportunities and Challenges in Mountainous Region
Rocky Talchabhadel, Ganesh R. Ghimire, Sanjib Sharma, Piyush Dahal, Jeeban Panthi, Rupesh Baniya, Jayaram Pudashine, Bhesh Raj Thapa, Shakti PC, Binod Parajuli
http://arxiv.org/abs/2010.06501v1
• [physics.comp-ph]Stochastic embeddings of dynamical phenomena through variational autoencoders
Constantino A. Garcia, Paulo Felix, Jesus M. Presedo, Abraham Otero
http://arxiv.org/abs/2010.06265v1
• [q-bio.PE]Bayesian Weighted Triplet and Quartet Methods for Species Tree Inference
Laura Kubatko
http://arxiv.org/abs/2010.06063v1
• [q-bio.QM]Automation of Hemocompatibility Analysis Using Image Segmentation and a Random Forest
Johanna C. Clauser, Judith Maas, Jutta Arens, Thomas Schmitz-Rode, Ulrich Steinseifer, Benjamin Berkels
http://arxiv.org/abs/2010.06245v1
• [q-bio.QM]Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests
Alejandro Cohen, Nir Shlezinger, Amit Solomon, Yonina C. Eldar, Muriel Médard
http://arxiv.org/abs/2010.06072v1
• [quant-ph]Experimental Quantum Generative Adversarial Networks for Image Generation
He-Liang Huang, Yuxuan Du, Ming Gong, Youwei Zhao, Yulin Wu, Chaoyue Wang, Shaowei Li, Futian Liang, Jin Lin, Yu Xu, Rui Yang, Tongliang Liu, Min-Hsiu Hsieh, Hui Deng, Hao Rong, Cheng-Zhi Peng, Chao-Yang Lu, Yu-Ao Chen, Dacheng Tao, Xiaobo Zhu, Jian-Wei Pan
http://arxiv.org/abs/2010.06201v1
• [stat.AP]Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation
Boya Zhang, Robert B. Gramacy, Leah Johnson, Kenneth A. Rose, Eric Smith
http://arxiv.org/abs/2010.06515v1
• [stat.AP]Conditional Power and Friends: The Why and How of (Un)planned, Unblinded Sample Size Recalculations in Confirmatory Trials
Kevin Kunzmann, Michael J. Grayling, Kim M. Lee, David S. Robertson, Kaspar Rufibach, James M. S. Wason
http://arxiv.org/abs/2010.06567v1
• [stat.AP]Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis
J. Emmanuel Johnson, Valero Laparra, Maria Piles, Gustau Camps-Valls
http://arxiv.org/abs/2010.06476v1
• [stat.AP]Modeling Atmospheric Data and Identifying Dynamics: Temporal Data-Driven Modeling of Air Pollutants
Javier Rubio-Herrero, Carlos Ortiz Marrero, Wai-Tong Louis Fan
http://arxiv.org/abs/2010.06538v1
• [stat.AP]Modeling and Probababilistic Forecasting of Natural Gas Prices
Jonathan Berrisch, Florian Ziel
http://arxiv.org/abs/2010.06227v1
• [stat.AP]The intersection of location-allocation and clustering
Leena Ruha, Tero Lähderanta, Lauri Lovén, Markku Kuismin, Teemu Leppänen, Jukka Riekki, Mikko J. Sillanpää
http://arxiv.org/abs/2010.06333v1
• [stat.ME]A Matching Procedure for Sequential Experiments that Iteratively Learns which Covariates Improve Power
Adam Kapelner, Abba Krieger
http://arxiv.org/abs/2010.05980v1
• [stat.ME]A Model-free Approach for Testing Association
Saptarshi Chatterjee, Shrabanti Chowdhury, Sanjib Basu
http://arxiv.org/abs/2010.06090v1
• [stat.ME]A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases
Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek
http://arxiv.org/abs/2010.06430v1
• [stat.ME]Bayesian inference under small sample size — A noninformative prior approach
Jingjing He, Xuefei Guan
http://arxiv.org/abs/2010.06110v1
• [stat.ME]Interpretable pathological test for Cardio-vascular disease: Approximate Bayesian computation with distance learning
Ritabrata Dutta, Karim Zouaoui-Boudjeltia, Christos Kotsalos, Alexandre Rousseau, Daniel Ribeiro de Sousa, Jean-Marc Desmet, Alain Van Meerhaeghe, Antonietta Mira, Bastien Chopard
http://arxiv.org/abs/2010.06465v1
• [stat.ME]Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
Hua Liu, Songhua Tan, Qianqian Zhu
http://arxiv.org/abs/2010.06103v1
• [stat.ME]Rough-Fuzzy CPD: A Gradual Change Point Detection Algorithm
Ritwik Bhaduri, Subhrajyoty Roy, Sankar K. Pal
http://arxiv.org/abs/2010.06370v1
• [stat.ME]Spike-and-Slab Meets LASSO: A Review of the Spike-and-Slab LASSO
Ray Bai, Veronika Rockova, Edward I. George
http://arxiv.org/abs/2010.06451v1
• [stat.ME]Treed distributed lag non-linear models
Daniel Mork, Ander Wilson
http://arxiv.org/abs/2010.06147v1
• [stat.ML]Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks
Xin Xing, Yu Gui, Chenguang Dai, Jun S. Liu
http://arxiv.org/abs/2010.06175v1
• [stat.ML]Penalized model-based clustering of fMRI data
Andrew DiLernia, Karina Quevedo, Jazmin Camchong, Kelvin Lim, Wei Pan, Lin Zhang
http://arxiv.org/abs/2010.06408v1
• [stat.ML]Point Process Modeling of Drug Overdoses with Heterogeneous and Missing Data
Xueying Liu, Jeremy Carter, Brad Ray, George Mohler
http://arxiv.org/abs/2010.06080v1