astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.stat-mech - 统计数学 cs.AI - 人工智能 cs.CC - 计算复杂度 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.ET - 新兴技术 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.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.SE - 软件工程 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.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing
• [cond-mat.stat-mech]Random walks and community detection in hypergraphs
• [cs.AI]A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge
• [cs.AI]Affordance as general value function: A computational model
• [cs.AI]An Experimentation Platform for Explainable Coalition Situational Understanding
• [cs.AI]Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa)
• [cs.AI]Behavior Priors for Efficient Reinforcement Learning
• [cs.AI]Effective FAQ Retrieval and Question Matching With Unsupervised Knowledge Injection
• [cs.AI]Learning Financial Asset-Specific Trading Rules via Deep Reinforcement Learning
• [cs.AI]QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications
• [cs.AI]Succinct and Robust Multi-Agent Communication With Temporal Message Control
• [cs.AI]The DigitalTwin from an Artificial Intelligence Perspective
• [cs.CC]Impossibility Results for Grammar-Compressed Linear Algebra
• [cs.CL]Autoencoding Improves Pre-trained Word Embeddings
• [cs.CL]Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
• [cs.CL]Data Troubles in Sentence Level Confidence Estimation for Machine Translation
• [cs.CL]Discovering and Interpreting Conceptual Biases in Online Communities
• [cs.CL]Emotion recognition by fusing time synchronous and time asynchronous representations
• [cs.CL]Evaluating Gender Bias in Speech Translation
• [cs.CL]Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks
• [cs.CL]Fast Interleaved Bidirectional Sequence Generation
• [cs.CL]Global Sentiment Analysis Of COVID-19 Tweets Over Time
• [cs.CL]Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer
• [cs.CL]Improving Limited Labeled Dialogue State Tracking with Self-Supervision
• [cs.CL]Improving Reinforcement Learning for Neural Relation Extraction with Hierarchical Memory Extractor
• [cs.CL]Interpretation of NLP models through input marginalization
• [cs.CL]Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews
• [cs.CL]It’s All in the Name: A Character Based Approach To Infer Religion
• [cs.CL]LXPER Index 2.0: Improving Text Readability Assessment for L2 English Learners in South Korea
• [cs.CL]Listener’s Social Identity Matters in Personalised Response Generation
• [cs.CL]Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
• [cs.CL]Multitask Training with Text Data for End-to-End Speech Recognition
• [cs.CL]PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
• [cs.CL]Predict and Use Latent Patterns for Short-Text Conversation
• [cs.CL]Probing Task-Oriented Dialogue Representation from Language Models
• [cs.CL]Reading Between the Lines: Exploring Infilling in Visual Narratives
• [cs.CL]Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining
• [cs.CL]Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
• [cs.CL]To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
• [cs.CL]UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models
• [cs.CL]Volctrans Parallel Corpus Filtering System for WMT 2020
• [cs.CL]Word Frequency Does Not Predict Grammatical Knowledge in Language Models
• [cs.CR]Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical Synthesis
• [cs.CV]A Method of Generating Measurable Panoramic Image for Indoor Mobile Measurement System
• [cs.CV]A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting
• [cs.CV]A Simple and Efficient Registration of 3D Point Cloud and Image Data for Indoor Mobile Mapping System
• [cs.CV]Application of sequential processing of computer vision methods for solving the problem of detecting the edges of a honeycomb block
• [cs.CV]Co-attentional Transformers for Story-Based Video Understanding
• [cs.CV]Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
• [cs.CV]Decentralized Attribution of Generative Models
• [cs.CV]Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model
• [cs.CV]Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
• [cs.CV]End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
• [cs.CV]Enhancing road signs segmentation using photometric invariants
• [cs.CV]Fast Local Attack: Generating Local Adversarial Examples for Object Detectors
• [cs.CV]Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning
• [cs.CV]Improving Word Recognition using Multiple Hypotheses and Deep Embeddings
• [cs.CV]Learning to Infer Unseen Attribute-Object Compositions
• [cs.CV]MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering
• [cs.CV]Mining Generalized Features for Detecting AI-Manipulated Fake Faces
• [cs.CV]Multi-Class Zero-Shot Learning for Artistic Material Recognition
• [cs.CV]Neural Unsigned Distance Fields for Implicit Function Learning
• [cs.CV]Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers
• [cs.CV]Pixel-based Facial Expression Synthesis
• [cs.CV]Processing of incomplete images by (graph) convolutional neural networks
• [cs.CV]Reconstruction of Voxels with Position- and Angle-Dependent Weightings
• [cs.CV]Robust Skeletonization for Plant Root Structure Reconstruction from MRI
• [cs.CV]SIRI: Spatial Relation Induced Network For Spatial Description Resolution
• [cs.CV]Structured Visual Search via Composition-aware Learning
• [cs.CV]Synthetic Training for Monocular Human Mesh Recovery
• [cs.CV]Wavelet Flow: Fast Training of High Resolution Normalizing Flows
• [cs.CY]Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
• [cs.DB]Jiffy: A Fast, Memory Efficient, Wait-Free Multi-Producers Single-Consumer Queue
• [cs.DC]A comparison of techniques for solving the Poisson equation in CFD
• [cs.DC]Arbitrary Pattern Formation on Infinite Regular Tessellation Graphs
• [cs.DC]Distance Computations in the Hybrid Network Model via Oracle Simulations
• [cs.DC]EdgeBench: A Workflow-based Benchmark for Edge Computing
• [cs.DC]In-situ data analytics for highly scalable cloud modelling on Cray machines
• [cs.DC]Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?
• [cs.DS]Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples
• [cs.DS]Simultaenous Sieves: A Deterministic Streaming Algorithm for Non-Monotone Submodular Maximization
• [cs.ET]Implementing efficient balanced networks with mixed-signal spike-based learning circuits
• [cs.GT]Computing Nash Equilibria in Multiplayer DAG-Structured Stochastic Games with Persistent Imperfect Information
• [cs.HC]Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents
• [cs.IR]An Intermediate Data-driven Methodology for Scientific Workflow Management System to Support Reusability
• [cs.IR]Contrastive Pre-training for Sequential Recommendation
• [cs.IR]The item selection problem for user cold-start recommendation
• [cs.IT]Algorithms for $q$-ary Error-Correcting Codes with Limited Magnitude and Feedback
• [cs.IT]Asymptotic Bounds on the Rate of Locally Repairable Codes
• [cs.IT]Minimum-effort successive cancellation list decoding of polar codes
• [cs.IT]Random Shifting Intelligent Reflecting Surface for OTP Encrypted Data Transmission
• [cs.IT]Source Enumeration via RMT Estimator Based on Linear Shrinkage Estimation of Noise Eigenvalues Using Relatively Few Samples
• [cs.IT]Statistical Learning Based Joint Antenna Selection and User Scheduling for Single-Cell Massive MIMO Systems
• [cs.IT]Topological Interference Management with Confidential Messages
• [cs.LG]$γ$-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
• [cs.LG]$μ$NAS: Constrained Neural Architecture Search for Microcontrollers
• [cs.LG]A Bayesian Perspective on Training Speed and Model Selection
• [cs.LG]A Probabilistic Representation of Deep Learning for Improving The Information Theoretic Interpretability
• [cs.LG]A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
• [cs.LG]A robust low data solution: dimension prediction of semiconductor nanorods
• [cs.LG]Active Learning for Noisy Data Streams Using Weak and Strong Labelers
• [cs.LG]An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
• [cs.LG]Anti-perturbation of Online Social Networks by Graph Label Transition
• [cs.LG]Are wider nets better given the same number of parameters?
• [cs.LG]BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory
• [cs.LG]Benchmarking Deep Learning Interpretability in Time Series Predictions
• [cs.LG]COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
• [cs.LG]Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?
• [cs.LG]Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
• [cs.LG]Conservative Safety Critics for Exploration
• [cs.LG]Controlled Molecule Generator for Optimizing Multiple Chemical Properties
• [cs.LG]Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
• [cs.LG]End-to-End Learning and Intervention in Games
• [cs.LG]Enhanced Classification Accuracy for Cardiotocogram Data with Ensemble Feature Selection and Classifier Ensemble
• [cs.LG]Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
• [cs.LG]Examining the causal structures of deep neural networks using information theory
• [cs.LG]Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions
• [cs.LG]FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries
• [cs.LG]Federated Learning From Big Data Over Networks
• [cs.LG]GPUTreeShap: Fast Parallel Tree Interpretability
• [cs.LG]Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks
• [cs.LG]Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
• [cs.LG]HarperValleyBank: A Domain-Specific Spoken Dialog Corpus
• [cs.LG]Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
• [cs.LG]Improved Guarantees for k-means++ and k-means++ Parallel
• [cs.LG]Incorporating Symbolic Domain Knowledge into Graph Neural Networks
• [cs.LG]Interpretable Assessment of Fairness During Model Evaluation
• [cs.LG]KFC: A Scalable Approximation Algorithm for $k$-center Fair Clustering
• [cs.LG]Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
• [cs.LG]LEAD: Least-Action Dynamics for Min-Max Optimization
• [cs.LG]MELD: Meta-Reinforcement Learning from Images via Latent State Models
• [cs.LG]Memory Optimization for Deep Networks
• [cs.LG]Neural Network Approximation: Three Hidden Layers Are Enough
• [cs.LG]Nonlinear Monte Carlo Method for Imbalanced Data Learning
• [cs.LG]On the Transfer of Disentangled Representations in Realistic Settings
• [cs.LG]One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
• [cs.LG]Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling
• [cs.LG]Scientific intuition inspired by machine learning generated hypotheses
• [cs.LG]Selective Classification Can Magnify Disparities Across Groups
• [cs.LG]T$^2$-Net: A Semi-supervised Deep Model for Turbulence Forecasting
• [cs.LG]Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning
• [cs.LG]Task-Aware Neural Architecture Search
• [cs.LG]The Teaching Dimension of Kernel Perceptron
• [cs.LG]Toward Better Generalization Bounds with Locally Elastic Stability
• [cs.LG]Versatile Verification of Tree Ensembles
• [cs.LG]VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning
• [cs.NE]Interior Point Solving for LP-based prediction+optimisation
• [cs.NE]Quantum Superposition Spiking Neural Network
• [cs.NE]Spiking Neural Networks — Part I: Detecting Spatial Patterns
• [cs.NE]Spiking Neural Networks — Part II: Detecting Spatio-Temporal Patterns
• [cs.NE]Spiking Neural Networks — Part III: Neuromorphic Communications
• [cs.PL]Taming x86-TSO Persistency (Extended Version)
• [cs.RO]A 2D Surgical Simulation Framework for Tool-Tissue Interaction
• [cs.RO]A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot
• [cs.RO]A Path-Dependent Variational Framework for Incremental Information Gathering
• [cs.RO]Exploiting the Nonlinear Stiffness of TMP Origami Folding to Enhance Robotic Jumping Performance
• [cs.RO]Fit to Measure: Reasoning about Sizes for Robust Object Recognition
• [cs.RO]Optimization of Robot Grasping Forces and Worst Case Loading
• [cs.RO]Optimization-Based Framework for Excavation Trajectory Generation
• [cs.RO]Proceedings of the AI-HRI Symposium at AAAI-FSS 2020
• [cs.RO]Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
• [cs.RO]Spatio-temporal encoding improves neuromorphic tactile texture classification
• [cs.RO]Transporter Networks: Rearranging the Visual World for Robotic Manipulation
• [cs.SD]ByteCover: Cover Song Identification via Multi-Loss Training
• [cs.SD]Deep generative factorization for speech signal
• [cs.SD]Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags
• [cs.SD]Leveraging speaker attribute information using multi task learning for speaker verification and diarization
• [cs.SD]Squeezing value of cross-domain labels: a decoupled scoring approach for speaker verification
• [cs.SD]Upsampling artifacts in neural audio synthesis
• [cs.SE]How We Refactor and How We Document it? On the Use of Supervised Machine Learning Algorithms to Classify Refactoring Documentation
• [cs.SI]Embedding Dynamic Attributed Networks by Modeling the Evolution Processes
• [cs.SI]Heterogeneous Graphlets
• [cs.SI]It’s all in the (Sub-)title? Expanding Signal Evaluation in Crowdfunding Research
• [econ.EM]Modeling Long Cycles
• [eess.AS]FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention
• [eess.AS]Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators
• [eess.AS]Phase Aware Speech Enhancement using Realisation of Complex-valued LSTM
• [eess.IV]Hyperspectral Anomaly Change Detection Based on Auto-encoder
• [eess.IV]Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction
• [eess.IV]Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking
• [eess.IV]Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks
• [eess.IV]Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray
• [eess.SP]Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis
• [eess.SP]Full-Duplex Cell-Free mMIMO Systems: Analysis and Decentralized Optimization
• [eess.SP]Graph Blind Deconvolution with Sparseness Constraint
• [eess.SP]Leveraging Location Information for RIS-aided mmWave MIMO Communications
• [eess.SP]Physics-Based Deep Learning for Fiber-Optic Communication Systems
• [eess.SP]Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
• [eess.SY]Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle
• [math.NA]Streaming Singular Value Decomposition for Big Data Applications
• [math.OC]An efficient nonconvex reformulation of stagewise convex optimization problems
• [math.OC]Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-19
• [math.PR]Impossibility of phylogeny reconstruction from $k$-mer counts
• [math.ST]Distortion Representations of Multivariate Distributions
• [math.ST]Large Deviation principles of Realized Laplace Transform of Volatility
• [math.ST]On Principal Component Regression in a High-Dimensional Error-in-Variables Setting
• [math.ST]Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
• [math.ST]Testing with p*-values: Between p-values and e-values
• [math.ST]The Efficiency Gap
• [physics.med-ph]CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels
• [physics.med-ph]Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
• [physics.soc-ph]Network-based Prediction of COVID-19 Epidemic Spreading in Italy
• [physics.soc-ph]Optimal transport for multi-commodity routing on networks
• [q-bio.GN]Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data
• [q-bio.QM]Local Granger Causality
• [q-bio.QM]Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes
• [stat.AP]Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat 8
• [stat.AP]Expectile Neural Networks for Genetic Data Analysis of Complex Diseases
• [stat.AP]The Bayesian Spatial Bradley—Terry Model: Urban Deprivation Modeling in Tanzania
• [stat.ME]A Parallel Process Growth Mixture Model to Examine Heterogeneity in Joint Development with Nonlinear Trajectories
• [stat.ME]Block what you can, except when you shouldn’t
• [stat.ME]Dynamic Algorithms for Online Multiple Testing
• [stat.ME]Improved Inference of Gaussian Mixture Copula Model for Clustering and Reproducibility Analysis using Automatic Differentiation
• [stat.ME]Nonparametric estimation of highest density regions for COVID-19
• [stat.ME]Optimisation des parcours patients pour lutter contre l’errance de diagnostic des patients atteints de maladies rares
• [stat.ME]Relative Contrast Estimation and Inference for Treatment Recommendation
• [stat.ME]Sequential knockoffs for continuous and categorical predictors: with application to a large Psoriatic Arthritis clinical trial pool
• [stat.ML]A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models
• [stat.ML]A Homotopic Method to Solve the Lasso Problems with an Improved Upper Bound of Convergence Rate
• [stat.ML]A Weaker Faithfulness Assumption based on Triple Interactions
• [stat.ML]Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
• [stat.ML]Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models
• [stat.ML]Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
• [stat.ML]Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning
• [stat.ML]Sub-sampling for Efficient Non-Parametric Bandit Exploration
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• [astro-ph.IM]Hierarchical Inference With Bayesian Neural Networks: An Application to Strong Gravitational Lensing
Sebastian Wagner-Carena, Ji Won Park, Simon Birrer, Philip J. Marshall, Aaron Roodman, Risa H. Wechsler
http://arxiv.org/abs/2010.13787v1
• [cond-mat.stat-mech]Random walks and community detection in hypergraphs
Timoteo Carletti, Duccio Fanelli, Renaud Lambiotte
http://arxiv.org/abs/2010.14355v1
• [cs.AI]A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge
Wenjie Ou, Yue Lin
http://arxiv.org/abs/2010.14202v1
• [cs.AI]Affordance as general value function: A computational model
Daniel Graves, Johannes Günther, Jun Luo
http://arxiv.org/abs/2010.14289v1
• [cs.AI]An Experimentation Platform for Explainable Coalition Situational Understanding
Katie Barrett-Powell, Jack Furby, Liam Hiley, Marc Roig Vilamala, Harrison Taylor, Federico Cerutti, Alun Preece, Tianwei Xing, Luis Garcia, Mani Srivastava, Dave Braines
http://arxiv.org/abs/2010.14388v1
• [cs.AI]Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa)
Mladen Popović, Maruf A. Dhali, Lambert Schomaker
http://arxiv.org/abs/2010.14476v1
• [cs.AI]Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess
http://arxiv.org/abs/2010.14274v1
• [cs.AI]Effective FAQ Retrieval and Question Matching With Unsupervised Knowledge Injection
Wen-Ting Tseng, Tien-Hong Lo, Yung-Chang Hsu, Berlin Chen
http://arxiv.org/abs/2010.14049v1
• [cs.AI]Learning Financial Asset-Specific Trading Rules via Deep Reinforcement Learning
Mehran Taghian, Ahmad Asadi, Reza Safabakhsh
http://arxiv.org/abs/2010.14194v1
• [cs.AI]QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications
Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo
http://arxiv.org/abs/2010.14108v1
• [cs.AI]Succinct and Robust Multi-Agent Communication With Temporal Message Control
Sai Qian Zhang, Jieyu Lin, Qi Zhang
http://arxiv.org/abs/2010.14391v1
• [cs.AI]The DigitalTwin from an Artificial Intelligence Perspective
Oliver Niggemann, Alexander Diedrich, Christian Kuehnert, Erik Pfannstiel, Joshua Schraven
http://arxiv.org/abs/2010.14376v1
• [cs.CC]Impossibility Results for Grammar-Compressed Linear Algebra
Amir Abboud, Arturs Backurs, Karl Bringmann, Marvin Künnemann
http://arxiv.org/abs/2010.14181v1
• [cs.CL]Autoencoding Improves Pre-trained Word Embeddings
Masahiro Kaneko, Danushka Bollegala
http://arxiv.org/abs/2010.13094v2
• [cs.CL]Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang
http://arxiv.org/abs/2010.14271v1
• [cs.CL]Data Troubles in Sentence Level Confidence Estimation for Machine Translation
Ciprian Chelba, Junpei Zhou, Yuezhang, Li, Hideto Kazawa, Jeff Klingner, Mengmeng Niu
http://arxiv.org/abs/2010.13856v1
• [cs.CL]Discovering and Interpreting Conceptual Biases in Online Communities
Xavier Ferrer-Aran, Tom van Nuenen, Natalia Criado, Jose M. Such
http://arxiv.org/abs/2010.14448v1
• [cs.CL]Emotion recognition by fusing time synchronous and time asynchronous representations
Wen Wu, Chao Zhang, Philip C. Woodland
http://arxiv.org/abs/2010.14102v1
• [cs.CL]Evaluating Gender Bias in Speech Translation
Marta R. Costa-jussà, Christine Basta, Gerard I. Gállego
http://arxiv.org/abs/2010.14465v1
• [cs.CL]Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks
Viet Dac Lai, Tuan Ngo Nguyen, Thien Huu Nguyen
http://arxiv.org/abs/2010.14123v1
• [cs.CL]Fast Interleaved Bidirectional Sequence Generation
Biao Zhang, Ivan Titov, Rico Sennrich
http://arxiv.org/abs/2010.14481v1
• [cs.CL]Global Sentiment Analysis Of COVID-19 Tweets Over Time
Muvazima Mansoor, Kirthika Gurumurthy, Anantharam R U, V R Badri Prasad
http://arxiv.org/abs/2010.14234v1
• [cs.CL]Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer
Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le
http://arxiv.org/abs/2010.13878v1
• [cs.CL]Improving Limited Labeled Dialogue State Tracking with Self-Supervision
Chien-Sheng Wu, Steven Hoi, Caiming Xiong
http://arxiv.org/abs/2010.13920v1
• [cs.CL]Improving Reinforcement Learning for Neural Relation Extraction with Hierarchical Memory Extractor
Jianing Wang, Chong Su
http://arxiv.org/abs/2010.14255v1
• [cs.CL]Interpretation of NLP models through input marginalization
Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon
http://arxiv.org/abs/2010.13984v1
• [cs.CL]Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews
Hadeel Saadany, Constantin Orasan
http://arxiv.org/abs/2010.13814v1
• [cs.CL]It’s All in the Name: A Character Based Approach To Infer Religion
Rochana Chaturvedi, Sugat Chaturvedi
http://arxiv.org/abs/2010.14479v1
• [cs.CL]LXPER Index 2.0: Improving Text Readability Assessment for L2 English Learners in South Korea
Bruce W. Lee, Jason Hyung-Jong Lee
http://arxiv.org/abs/2010.13374v2
• [cs.CL]Listener’s Social Identity Matters in Personalised Response Generation
Guanyi Chen, Yinhe Zheng, Yupei Du
http://arxiv.org/abs/2010.14342v1
• [cs.CL]Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu, Yue Dong, Laurent Charlin
http://arxiv.org/abs/2010.14235v1
• [cs.CL]Multitask Training with Text Data for End-to-End Speech Recognition
Peidong Wang, Tara N. Sainath, Ron J. Weiss
http://arxiv.org/abs/2010.14318v1
• [cs.CL]PowerTransformer: Unsupervised Controllable Revision for Biased Language Correction
Xinyao Ma, Maarten Sap, Hannah Rashkin, Yejin Choi
http://arxiv.org/abs/2010.13816v1
• [cs.CL]Predict and Use Latent Patterns for Short-Text Conversation
Hung-Ting Chen, Yu-Chieh Chao, Ta-Hsuan Chao, Wei-Yun Ma
http://arxiv.org/abs/2010.13982v1
• [cs.CL]Probing Task-Oriented Dialogue Representation from Language Models
Chien-Sheng Wu, Caiming Xiong
http://arxiv.org/abs/2010.13912v1
• [cs.CL]Reading Between the Lines: Exploring Infilling in Visual Narratives
Khyathi Raghavi Chandu, Ruo-Ping Dong, Alan Black
http://arxiv.org/abs/2010.13944v1
• [cs.CL]Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining
Cheng-I Lai, Yung-Sung Chuang, Hung-Yi Lee, Shang-Wen Li, James Glass
http://arxiv.org/abs/2010.13826v1
• [cs.CL]Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning
Dongwei Jiang, Wubo Li, Miao Cao, Ruixiong Zhang, Wei Zou, Kun Han, Xiangang Li
http://arxiv.org/abs/2010.13991v1
• [cs.CL]To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai, Smaranda Muresan, Jie Ma, Faisal Ladhak, Yaser Al-Onaizan
http://arxiv.org/abs/2010.14042v1
• [cs.CL]UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models
Mircea-Adrian Tanase, Dumitru-Clementin Cercel, Costin-Gabriel Chiru
http://arxiv.org/abs/2010.13609v2
• [cs.CL]Volctrans Parallel Corpus Filtering System for WMT 2020
Runxin Xu, Zhuo Zhi, Jun Cao, Mingxuan Wang, Lei Li
http://arxiv.org/abs/2010.14029v1
• [cs.CL]Word Frequency Does Not Predict Grammatical Knowledge in Language Models
Charles Yu, Ryan Sie, Nico Tedeschi, Leon Bergen
http://arxiv.org/abs/2010.13870v1
• [cs.CR]Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical Synthesis
James Scheibner, Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Marcello Ienca, Jacques Fellay, Effy Vayena, Jean-Pierre Hubaux
http://arxiv.org/abs/2010.14445v1
• [cs.CV]A Method of Generating Measurable Panoramic Image for Indoor Mobile Measurement System
Hao Ma, Jingbin Liu, Zhirong Hu, Hongyu Qiu, Dong Xu, Zemin Wang, Xiaodong Gong, Sheng Yang
http://arxiv.org/abs/2010.14270v1
• [cs.CV]A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting
W. Zhang, H. Liu, P. Li, L. Han
http://arxiv.org/abs/2010.14100v1
• [cs.CV]A Simple and Efficient Registration of 3D Point Cloud and Image Data for Indoor Mobile Mapping System
Hao Ma, Jingbin Liu, Keke Liu, Hongyu Qiu, Dong Xu, Zemin Wang, Xiaodong Gong, Sheng Yang
http://arxiv.org/abs/2010.14261v1
• [cs.CV]Application of sequential processing of computer vision methods for solving the problem of detecting the edges of a honeycomb block
M V Kubrikov, I A Paulin, M V Saramud, A S Kubrikova
http://arxiv.org/abs/2010.13837v1
• [cs.CV]Co-attentional Transformers for Story-Based Video Understanding
Björn Bebensee, Byoung-Tak Zhang
http://arxiv.org/abs/2010.14104v1
• [cs.CV]Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen
http://arxiv.org/abs/2010.14014v1
• [cs.CV]Decentralized Attribution of Generative Models
Changhoon Kim, Yi Ren, Yezhou Yang
http://arxiv.org/abs/2010.13974v1
• [cs.CV]Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model
Haruhiro Fujita, Masatoshi Itagaki, Yew Kwang Hooi, Kenta Ichikawa, Kazutaka Kawano, Ryo Yamamoto
http://arxiv.org/abs/2010.13783v1
• [cs.CV]Developing Univariate Neurodegeneration Biomarkers with Low-Rank and Sparse Subspace Decomposition
Gang Wang, Qunxi Dong, Jianfeng Wu, Yi Su, Kewei Chen, Qingtang Su, Xiaofeng Zhang, Jinguang Hao, Tao Yao, Li Liu, Caiming Zhang, Richard J Caselli, Eric M Reiman, Yalin Wang
http://arxiv.org/abs/2010.13954v1
• [cs.CV]End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining
Song-Lu Chen, Shu Tian, Jia-Wei Ma, Qi Liu, Chun Yang, Feng Chen, Xu-Cheng Yin
http://arxiv.org/abs/2010.14266v1
• [cs.CV]Enhancing road signs segmentation using photometric invariants
Tarik Ayaou, Azeddine Beghdadi, Karim Afdel, Abdellah Amghar
http://arxiv.org/abs/2010.13844v1
• [cs.CV]Fast Local Attack: Generating Local Adversarial Examples for Object Detectors
Quanyu Liao, Xin Wang, Bin Kong, Siwei Lyu, Youbing Yin, Qi Song, Xi Wu
http://arxiv.org/abs/2010.14291v1
• [cs.CV]Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning
Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixe, Konrad Schindler
http://arxiv.org/abs/2010.14300v1
• [cs.CV]Improving Word Recognition using Multiple Hypotheses and Deep Embeddings
Siddhant Bansal, Praveen Krishnan, C. V. Jawahar
http://arxiv.org/abs/2010.14411v1
• [cs.CV]Learning to Infer Unseen Attribute-Object Compositions
Hui Chen, Zhixiong Nan, Jiang Jingjing, Nanning Zheng
http://arxiv.org/abs/2010.14343v1
• [cs.CV]MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering
Aisha Urooj Khan, Amir Mazaheri, Niels da Vitoria Lobo, Mubarak Shah
http://arxiv.org/abs/2010.14095v1
• [cs.CV]Mining Generalized Features for Detecting AI-Manipulated Fake Faces
Yang Yu, Rongrong Ni, Yao Zhao
http://arxiv.org/abs/2010.14129v1
• [cs.CV]Multi-Class Zero-Shot Learning for Artistic Material Recognition
Alexander W Olson, Andreea Cucu, Tom Bock
http://arxiv.org/abs/2010.13850v1
• [cs.CV]Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane, Aymen Mir, Gerard Pons-Moll
http://arxiv.org/abs/2010.13938v1
• [cs.CV]Peak Detection On Data Independent Acquisition Mass Spectrometry Data With Semisupervised Convolutional Transformers
Leon L. Xu, Hannes L. Röst
http://arxiv.org/abs/2010.13841v1
• [cs.CV]Pixel-based Facial Expression Synthesis
Arbish Akram, Nazar Khan
http://arxiv.org/abs/2010.14397v1
• [cs.CV]Processing of incomplete images by (graph) convolutional neural networks
Tomasz Danel, Marek Śmieja, Łukasz Struski, Przemysław Spurek, Łukasz Maziarka
http://arxiv.org/abs/2010.13914v1
• [cs.CV]Reconstruction of Voxels with Position- and Angle-Dependent Weightings
Lina Felsner, Tobias Würfl, Christopher Syben, Philipp Roser, Alexander Preuhs, Andreas Maier, Christian Riess
http://arxiv.org/abs/2010.14205v1
• [cs.CV]Robust Skeletonization for Plant Root Structure Reconstruction from MRI
Jannis Horn, Yi Zhao, Nils Wandel, Magdalena Landl, Andrea Schnepf, Sven Behnke
http://arxiv.org/abs/2010.14440v1
• [cs.CV]SIRI: Spatial Relation Induced Network For Spatial Description Resolution
Peiyao Wang, Weixin Luo, Yanyu Xu, Haojie Li, Shugong Xu, Jianyu Yang, Shenghua Gao
http://arxiv.org/abs/2010.14301v1
• [cs.CV]Structured Visual Search via Composition-aware Learning
Mert Kilickaya, Arnold W. M. Smeulders
http://arxiv.org/abs/2010.14438v1
• [cs.CV]Synthetic Training for Monocular Human Mesh Recovery
Yu Sun, Qian Bao, Wu Liu, Wenpeng Gao, Yili Fu, Chuang Gan, Tao Mei
http://arxiv.org/abs/2010.14036v1
• [cs.CV]Wavelet Flow: Fast Training of High Resolution Normalizing Flows
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker
http://arxiv.org/abs/2010.13821v1
• [cs.CY]Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust
Ufuk Topcu, Nadya Bliss, Nancy Cooke, Missy Cummings, Ashley Llorens, Howard Shrobe, Lenore Zuck
http://arxiv.org/abs/2010.14443v1
• [cs.DB]Jiffy: A Fast, Memory Efficient, Wait-Free Multi-Producers Single-Consumer Queue
Dolev Adas, Roy Friedman
http://arxiv.org/abs/2010.14189v1
• [cs.DC]A comparison of techniques for solving the Poisson equation in CFD
Nick Brown
http://arxiv.org/abs/2010.14132v1
• [cs.DC]Arbitrary Pattern Formation on Infinite Regular Tessellation Graphs
Serafino Cicerone, Alessia Di Fonso, Gabriele Di Stefano, Alfredo Navarra
http://arxiv.org/abs/2010.14152v1
• [cs.DC]Distance Computations in the Hybrid Network Model via Oracle Simulations
Keren Censor-Hillel, Dean Leitersdorf, Volodymyr Polosukhin
http://arxiv.org/abs/2010.13831v1
• [cs.DC]EdgeBench: A Workflow-based Benchmark for Edge Computing
Qirui Yang, Runyu Jin, Nabil Gandhi, Xiongzi Ge, Hoda Aghaei Khouzani, Ming Zhao
http://arxiv.org/abs/2010.14027v1
• [cs.DC]In-situ data analytics for highly scalable cloud modelling on Cray machines
Nick Brown, Michèle Weiland, Adrian Hill, Ben Shipway
http://arxiv.org/abs/2010.14127v1
• [cs.DC]Matrix Engines for High Performance Computing:A Paragon of Performance or Grasping at Straws?
Jens Domke, Emil Vatai, Aleksandr Drozd, Peng Chen, Yosuke Oyama, Lingqi Zhang, Shweta Salaria, Daichi Mukunoki, Artur Podobas, Mohamed Wahib, Satoshi Matsuoka
http://arxiv.org/abs/2010.14373v1
• [cs.DS]Dynamic Boundary Time Warping for Sub-sequence Matching with Few Examples
Łukasz Borchmann, Dawid Jurkiewicz, Filip Graliński, Tomasz Górecki
http://arxiv.org/abs/2010.14464v1
• [cs.DS]Simultaenous Sieves: A Deterministic Streaming Algorithm for Non-Monotone Submodular Maximization
Alan Kuhnle
http://arxiv.org/abs/2010.14367v1
• [cs.ET]Implementing efficient balanced networks with mixed-signal spike-based learning circuits
Julian Büchel, Jonathan Kakon, Michel Perez, Giacomo Indiveri
http://arxiv.org/abs/2010.14353v1
• [cs.GT]Computing Nash Equilibria in Multiplayer DAG-Structured Stochastic Games with Persistent Imperfect Information
Sam Ganzfried
http://arxiv.org/abs/2010.13860v1
• [cs.HC]Apps Against the Spread: Privacy Implications and User Acceptance of COVID-19-Related Smartphone Apps on Three Continents
Christine Utz, Steffen Becker, Theodor Schnitzler, Florian M. Farke, Franziska Herbert, Leonie Schaewitz, Martin Degeling, Markus Dürmuth
http://arxiv.org/abs/2010.14245v1
• [cs.IR]An Intermediate Data-driven Methodology for Scientific Workflow Management System to Support Reusability
Debasish Chakroborti
http://arxiv.org/abs/2010.14057v1
• [cs.IR]Contrastive Pre-training for Sequential Recommendation
Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui
http://arxiv.org/abs/2010.14395v1
• [cs.IR]The item selection problem for user cold-start recommendation
Yitong Meng, Jie Liu, Xiao Yan, James Cheng
http://arxiv.org/abs/2010.14013v1
• [cs.IT]Algorithms for $q$-ary Error-Correcting Codes with Limited Magnitude and Feedback
Christian Deppe, Vladimir Lebedev
http://arxiv.org/abs/2010.14257v1
• [cs.IT]Asymptotic Bounds on the Rate of Locally Repairable Codes
Ron M. Roth
http://arxiv.org/abs/2010.14492v1
• [cs.IT]Minimum-effort successive cancellation list decoding of polar codes
Carlo Condo
http://arxiv.org/abs/2010.14477v1
• [cs.IT]Random Shifting Intelligent Reflecting Surface for OTP Encrypted Data Transmission
Zijie Ji, Phee Lep Yeoh, Gaojie Chen, Cunhua Pan, Yan Zhang, Zunwen He, Hao Yin, Yonghui Li
http://arxiv.org/abs/2010.14268v1
• [cs.IT]Source Enumeration via RMT Estimator Based on Linear Shrinkage Estimation of Noise Eigenvalues Using Relatively Few Samples
Huiyue Yi
http://arxiv.org/abs/2010.14263v1
• [cs.IT]Statistical Learning Based Joint Antenna Selection and User Scheduling for Single-Cell Massive MIMO Systems
Mangqing Guo, M. Cenk Gursoy
http://arxiv.org/abs/2010.13848v1
• [cs.IT]Topological Interference Management with Confidential Messages
Jean de Dieu Mutangana, Ravi Tandon
http://arxiv.org/abs/2010.14503v1
• [cs.LG]$γ$-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction
Michael Janner, Igor Mordatch, Sergey Levine
http://arxiv.org/abs/2010.14496v1
• [cs.LG]$μ$NAS: Constrained Neural Architecture Search for Microcontrollers
Edgar Liberis, Łukasz Dudziak, Nicholas D. Lane
http://arxiv.org/abs/2010.14246v1
• [cs.LG]A Bayesian Perspective on Training Speed and Model Selection
Clare Lyle, Lisa Schut, Binxin Ru, Yarin Gal, Mark van der Wilk
http://arxiv.org/abs/2010.14499v1
• [cs.LG]A Probabilistic Representation of Deep Learning for Improving The Information Theoretic Interpretability
Xinjie Lan, Kenneth E. Barner
http://arxiv.org/abs/2010.14054v1
• [cs.LG]A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez
http://arxiv.org/abs/2010.14298v1
• [cs.LG]A robust low data solution: dimension prediction of semiconductor nanorods
Xiaoli Liu, Yang Xu, Jiali Li, Xuanwei Ong, Salwa Ali Ibrahim, Tonio Buonassisi, Xiaonan Wang
http://arxiv.org/abs/2010.14111v1
• [cs.LG]Active Learning for Noisy Data Streams Using Weak and Strong Labelers
Taraneh Younesian, Dick Epema, Lydia Y. Chen
http://arxiv.org/abs/2010.14149v1
• [cs.LG]An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
Farzaneh Khoshnevisan, Min Chi
http://arxiv.org/abs/2010.13952v1
• [cs.LG]Anti-perturbation of Online Social Networks by Graph Label Transition
Jun Zhuang, Mohammad AI Hasan
http://arxiv.org/abs/2010.14121v1
• [cs.LG]Are wider nets better given the same number of parameters?
Anna Golubeva, Behnam Neyshabur, Guy Gur-Ari
http://arxiv.org/abs/2010.14495v1
• [cs.LG]BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory
Amirali Aghazadeh, Vipul Gupta, Alex DeWeese, O. Ozan Koyluoglu, Kannan Ramchandran
http://arxiv.org/abs/2010.13829v1
• [cs.LG]Benchmarking Deep Learning Interpretability in Time Series Predictions
Aya Abdelsalam Ismail, Mohamed Gunady, Héctor Corrada Bravo, Soheil Feizi
http://arxiv.org/abs/2010.13924v1
• [cs.LG]COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine
http://arxiv.org/abs/2010.14500v1
• [cs.LG]Can Reinforcement Learning for Continuous Control Generalize Across Physics Engines?
Aaqib Parvez Mohammed, Matias Valdenegro-Toro
http://arxiv.org/abs/2010.14444v1
• [cs.LG]Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang, Horace He, Abhay Singh, Ser-Nam Lim, Austin R. Benson
http://arxiv.org/abs/2010.13993v1
• [cs.LG]Conservative Safety Critics for Exploration
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
http://arxiv.org/abs/2010.14497v1
• [cs.LG]Controlled Molecule Generator for Optimizing Multiple Chemical Properties
Bonggun Shin, Sungsoo Park, JinYeong Bak, Joyce C. Ho
http://arxiv.org/abs/2010.13908v1
• [cs.LG]Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging
He Sun, Katherine L. Bouman
http://arxiv.org/abs/2010.14462v1
• [cs.LG]End-to-End Learning and Intervention in Games
Jiayang Li, Jing Yu, Yu Marco Nie, Zhaoran Wang
http://arxiv.org/abs/2010.13834v1
• [cs.LG]Enhanced Classification Accuracy for Cardiotocogram Data with Ensemble Feature Selection and Classifier Ensemble
Tipawan Silwattananusarn, Wanida Kanarkard, Kulthida Tuamsuk
http://arxiv.org/abs/2010.14051v1
• [cs.LG]Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, Madhav Marathe
http://arxiv.org/abs/2010.14491v1
• [cs.LG]Examining the causal structures of deep neural networks using information theory
Simon Mattsson, Eric J. Michaud, Erik Hoel
http://arxiv.org/abs/2010.13871v1
• [cs.LG]Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research Directions
Kasun Amarasinghe, Kit Rodolfa, Hemank Lamba, Rayid Ghani
http://arxiv.org/abs/2010.14374v1
• [cs.LG]FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries
Seng Pei Liew, Tsubasa Takahashi
http://arxiv.org/abs/2010.14023v1
• [cs.LG]Federated Learning From Big Data Over Networks
Y. Sarcheshmehpour, M. Leinonen, A. Jung
http://arxiv.org/abs/2010.14159v1
• [cs.LG]GPUTreeShap: Fast Parallel Tree Interpretability
Rory Mitchell, Eibe Frank, Geoffrey Holmes
http://arxiv.org/abs/2010.13972v1
• [cs.LG]Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks
Xiaowei Jia, Beiyu Lin, Jacob Zwart, Jeffery Sadler, Alison Appling, Samantha Oliver, Jordan Read
http://arxiv.org/abs/2010.14000v1
• [cs.LG]Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
Jeongho Kim, Jaeuk Shin, Insoon Yang
http://arxiv.org/abs/2010.14087v1
• [cs.LG]HarperValleyBank: A Domain-Specific Spoken Dialog Corpus
Mike Wu, Jonathan Nafziger, Anthony Scodary, Andrew Maas
http://arxiv.org/abs/2010.13929v1
• [cs.LG]Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine
http://arxiv.org/abs/2010.14498v1
• [cs.LG]Improved Guarantees for k-means++ and k-means++ Parallel
Konstantin Makarychev, Aravind Reddy, Liren Shan
http://arxiv.org/abs/2010.14487v1
• [cs.LG]Incorporating Symbolic Domain Knowledge into Graph Neural Networks
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig
http://arxiv.org/abs/2010.13900v1
• [cs.LG]Interpretable Assessment of Fairness During Model Evaluation
Amir Sepehri, Cyrus DiCiccio
http://arxiv.org/abs/2010.13782v1
• [cs.LG]KFC: A Scalable Approximation Algorithm for $k$-center Fair Clustering
Elfarouk Harb, Ho Shan Lam
http://arxiv.org/abs/2010.13949v1
• [cs.LG]Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
Akshatha Kamath, Dwaraknath Gnaneshwar, Matias Valdenegro-Toro
http://arxiv.org/abs/2010.14019v1
• [cs.LG]LEAD: Least-Action Dynamics for Min-Max Optimization
Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie, Ioannis Mitliagkas
http://arxiv.org/abs/2010.13846v1
• [cs.LG]MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Z. Zhao, Anusha Nagabandi, Kate Rakelly, Chelsea Finn, Sergey Levine
http://arxiv.org/abs/2010.13957v1
• [cs.LG]Memory Optimization for Deep Networks
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
http://arxiv.org/abs/2010.14501v1
• [cs.LG]Neural Network Approximation: Three Hidden Layers Are Enough
Zuowei Shen, Haizhao Yang, Shijun Zhang
http://arxiv.org/abs/2010.14075v1
• [cs.LG]Nonlinear Monte Carlo Method for Imbalanced Data Learning
Xuli Shen, Qing Xu, Xiangyang Xue
http://arxiv.org/abs/2010.14060v1
• [cs.LG]On the Transfer of Disentangled Representations in Realistic Settings
Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf
http://arxiv.org/abs/2010.14407v1
• [cs.LG]One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL
Saurabh Kumar, Aviral Kumar, Sergey Levine, Chelsea Finn
http://arxiv.org/abs/2010.14484v1
• [cs.LG]Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling
Akio Hayakawa, Takuya Narihira
http://arxiv.org/abs/2010.14109v1
• [cs.LG]Scientific intuition inspired by machine learning generated hypotheses
Pascal Friederich, Mario Krenn, Isaac Tamblyn, Alan Aspuru-Guzik
http://arxiv.org/abs/2010.14236v1
• [cs.LG]Selective Classification Can Magnify Disparities Across Groups
Erik Jones, Shiori Sagawa, Pang Wei Koh, Ananya Kumar, Percy Liang
http://arxiv.org/abs/2010.14134v1
• [cs.LG]T$^2$-Net: A Semi-supervised Deep Model for Turbulence Forecasting
Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
http://arxiv.org/abs/2010.13903v1
• [cs.LG]Take a Chance: Managing the Exploitation-Exploration Dilemma in Customs Fraud Detection via Online Active Learning
Sundong Kim, Tung-Duong Mai, Thi Nguyen Duc Khanh, Sungwon Han, Sungwon Park, Karandeep Singh, Meeyoung Cha
http://arxiv.org/abs/2010.14282v1
• [cs.LG]Task-Aware Neural Architecture Search
Cat P. Le, Mohammadreza Soltani, Robert Ravier, Vahid Tarokh
http://arxiv.org/abs/2010.13962v1
• [cs.LG]The Teaching Dimension of Kernel Perceptron
Akash Kumar, Hanqi Zhang, Adish Singla, Yuxin Chen
http://arxiv.org/abs/2010.14043v1
• [cs.LG]Toward Better Generalization Bounds with Locally Elastic Stability
Zhun Deng, Hangfeng He, Weijie J. Su
http://arxiv.org/abs/2010.13988v1
• [cs.LG]Versatile Verification of Tree Ensembles
Laurens Devos, Wannes Meert, Jesse Davis
http://arxiv.org/abs/2010.13880v1
• [cs.LG]VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning
Thomas Carta, Subhajit Chaudhury, Kartik Talamadupula, Michiaki Tatsubori
http://arxiv.org/abs/2010.13839v1
• [cs.NE]Interior Point Solving for LP-based prediction+optimisation
Jayanta Mandi, Tias Guns
http://arxiv.org/abs/2010.13943v1
• [cs.NE]Quantum Superposition Spiking Neural Network
Yinqian Sun, Yi Zeng, Tielin Zhang
http://arxiv.org/abs/2010.12197v2
• [cs.NE]Spiking Neural Networks — Part I: Detecting Spatial Patterns
Hyeryung Jang, Nicolas Skatchkovsky, Osvaldo Simeone
http://arxiv.org/abs/2010.14208v1
• [cs.NE]Spiking Neural Networks — Part II: Detecting Spatio-Temporal Patterns
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
http://arxiv.org/abs/2010.14217v1
• [cs.NE]Spiking Neural Networks — Part III: Neuromorphic Communications
Nicolas Skatchkovsky, Hyeryung Jang, Osvaldo Simeone
http://arxiv.org/abs/2010.14220v1
• [cs.PL]Taming x86-TSO Persistency (Extended Version)
Artem Khyzha, Ori Lahav
http://arxiv.org/abs/2010.13593v2
• [cs.RO]A 2D Surgical Simulation Framework for Tool-Tissue Interaction
Yunhai Han, Fei Liu, Michael C. Yip
http://arxiv.org/abs/2010.13936v1
• [cs.RO]A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot
David Hanson, Alishba Imran, Abhinandan Vellanki, Sanjeew Kanagaraj
http://arxiv.org/abs/2010.13983v1
• [cs.RO]A Path-Dependent Variational Framework for Incremental Information Gathering
William Clark, Maani Ghaffari
http://arxiv.org/abs/2010.13813v1
• [cs.RO]Exploiting the Nonlinear Stiffness of TMP Origami Folding to Enhance Robotic Jumping Performance
Sahand Sadeghi, Samuel Allison, Blake Betsill, Suyi Li
http://arxiv.org/abs/2010.13942v1
• [cs.RO]Fit to Measure: Reasoning about Sizes for Robust Object Recognition
Agnese Chiatti, Enrico Motta, Enrico Daga, Gianluca Bardaro
http://arxiv.org/abs/2010.14296v1
• [cs.RO]Optimization of Robot Grasping Forces and Worst Case Loading
Or Elmackias, Tami Zaretzky, Reuven Segev
http://arxiv.org/abs/2010.14304v1
• [cs.RO]Optimization-Based Framework for Excavation Trajectory Generation
Yajue Yang, Pinxin Long, Jia Pan, Xinbin Song, Liangjun Zhang
http://arxiv.org/abs/2010.14038v1
• [cs.RO]Proceedings of the AI-HRI Symposium at AAAI-FSS 2020
Shelly Bagchi, Jason R. Wilson, Muneeb I. Ahmad, Christian Dondrup, Zhao Han, Justin W. Hart, Matteo Leonetti, Katrin Lohan, Ross Mead, Emmanuel Senft, Jivko Sinapov, Megan L. Zimmerman
http://arxiv.org/abs/2010.13830v1
• [cs.RO]Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration
Jianhao Jiao, Haoyang Ye, Yilong Zhu, Ming Liu
http://arxiv.org/abs/2010.14294v1
• [cs.RO]Spatio-temporal encoding improves neuromorphic tactile texture classification
Anupam K. Gupta, Andrei Nakagawa, Nathan F. Lepora, Nitish V. Thakor
http://arxiv.org/abs/2010.14184v1
• [cs.RO]Transporter Networks: Rearranging the Visual World for Robotic Manipulation
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee
http://arxiv.org/abs/2010.14406v1
• [cs.SD]ByteCover: Cover Song Identification via Multi-Loss Training
Xingjian Du, Zhesong Yu, Bilei Zhu, Xiaoou Chen, Zejun Ma
http://arxiv.org/abs/2010.14022v1
• [cs.SD]Deep generative factorization for speech signal
Haoran Sun, Lantian Li, Yunqi Cai, Yang Zhang, Thomas Fang Zheng, Dong Wang
http://arxiv.org/abs/2010.14242v1
• [cs.SD]Learning Contextual Tag Embeddings for Cross-Modal Alignment of Audio and Tags
Xavier Favory, Konstantinos Drossos, Tuomas Virtanen, Xavier Serra
http://arxiv.org/abs/2010.14171v1
• [cs.SD]Leveraging speaker attribute information using multi task learning for speaker verification and diarization
Chau Luu, Peter Bell, Steve Renals
http://arxiv.org/abs/2010.14269v1
• [cs.SD]Squeezing value of cross-domain labels: a decoupled scoring approach for speaker verification
Lantian Li, Yang Zhang, Jiawen Kang, Thomas Fang Zheng, Dong Wang
http://arxiv.org/abs/2010.14243v1
• [cs.SD]Upsampling artifacts in neural audio synthesis
Jordi Pons, Santiago Pascual, Giulio Cengarle, Joan Serrà
http://arxiv.org/abs/2010.14356v1
• [cs.SE]How We Refactor and How We Document it? On the Use of Supervised Machine Learning Algorithms to Classify Refactoring Documentation
Eman Abdullah AlOmar, Anthony Peruma, Mohamed Wiem Mkaouer, Christian Newman, Ali Ouni, Marouane Kessentini
http://arxiv.org/abs/2010.13890v1
• [cs.SI]Embedding Dynamic Attributed Networks by Modeling the Evolution Processes
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
http://arxiv.org/abs/2010.14047v1
• [cs.SI]Heterogeneous Graphlets
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh
http://arxiv.org/abs/2010.14058v1
• [cs.SI]It’s all in the (Sub-)title? Expanding Signal Evaluation in Crowdfunding Research
Constantin von Selasinsky, Andrew Jay Isaak
http://arxiv.org/abs/2010.14389v1
• [econ.EM]Modeling Long Cycles
Natasha Kang, Vadim Marmer
http://arxiv.org/abs/2010.13877v1
• [eess.AS]FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention
Yist Y. Lin, Chung-Ming Chien, Jheng-Hao Lin, Hung-yi Lee, Lin-shan Lee
http://arxiv.org/abs/2010.14150v1
• [eess.AS]Parallel waveform synthesis based on generative adversarial networks with voicing-aware conditional discriminators
Ryuichi Yamamoto, Eunwoo Song, Min-Jae Hwang, Jae-Min Kim
http://arxiv.org/abs/2010.14151v1
• [eess.AS]Phase Aware Speech Enhancement using Realisation of Complex-valued LSTM
Raktim Gautam Goswami, Sivaganesh Andhavarapu, K Sri Rama Murty
http://arxiv.org/abs/2010.14122v1
• [eess.IV]Hyperspectral Anomaly Change Detection Based on Auto-encoder
Meiqi Hu, Chen Wu, Liangpei Zhang, Bo Du
http://arxiv.org/abs/2010.14119v1
• [eess.IV]Impact of Spherical Coordinates Transformation Pre-processing in Deep Convolution Neural Networks for Brain Tumor Segmentation and Survival Prediction
Carlo Russo, Sidong Liu, Antonio Di Ieva
http://arxiv.org/abs/2010.13967v1
• [eess.IV]Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking
Burhaneddin Yaman, Seyed Amir Hossein Hosseini, Steen Moeller, Mehmet Akçakaya
http://arxiv.org/abs/2010.13868v1
• [eess.IV]Micro-CT Synthesis and Inner Ear Super Resolution via Bayesian Generative Adversarial Networks
Hongwei Li, Rameshwara G. N. Prasad, Anjany Sekuboyina, Chen Niu, Siwei Bai, Werner Hemmert, Bjoern Menze
http://arxiv.org/abs/2010.14105v1
• [eess.IV]Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray
Jianjia Zhang
http://arxiv.org/abs/2010.14091v1
• [eess.SP]Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis
David Lipshutz, Dmitri B. Chklovskii
http://arxiv.org/abs/2010.12632v1
• [eess.SP]Full-Duplex Cell-Free mMIMO Systems: Analysis and Decentralized Optimization
Soumyadeep Datta, Ekant Sharma, Dheeraj Naidu Amudala, Rohit Budhiraja, Shivendra S. Panwar
http://arxiv.org/abs/2010.14110v1
• [eess.SP]Graph Blind Deconvolution with Sparseness Constraint
Kazuma Iwata, Koki Yamada, Yuichi Tanaka
http://arxiv.org/abs/2010.14002v1
• [eess.SP]Leveraging Location Information for RIS-aided mmWave MIMO Communications
Jiguang He, Henk Wymeersch, Markku Juntti
http://arxiv.org/abs/2010.14163v1
• [eess.SP]Physics-Based Deep Learning for Fiber-Optic Communication Systems
Christian Häger, Henry D. Pfister
http://arxiv.org/abs/2010.14258v1
• [eess.SP]Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk
http://arxiv.org/abs/2010.13975v1
• [eess.SY]Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle
Bin Xu, Junzhe Shi, Sixu Li, Huayi Li, Zhe Wang
http://arxiv.org/abs/2010.14115v1
• [math.NA]Streaming Singular Value Decomposition for Big Data Applications
Gurpreet Singh, Soumyajit Gupta, Matthew Lease, Clint Dawson
http://arxiv.org/abs/2010.14226v1
• [math.OC]An efficient nonconvex reformulation of stagewise convex optimization problems
Rudy Bunel, Oliver Hinder, Srinadh Bhojanapalli, Krishnamurthy, Dvijotham
http://arxiv.org/abs/2010.14322v1
• [math.OC]Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-19
Tô Tat Dat, Protin Frédéric, Nguyen T. T. Hang, Martel Jules, Nguyen Duc Thang, Charles Piffault, Rodríguez Willy, Figueroa Susely, Hông Vân Lê, Wilderich Tuschmann, Nguyen Tien Zung
http://arxiv.org/abs/2010.14004v1
• [math.PR]Impossibility of phylogeny reconstruction from $k$-mer counts
Wai-Tong Louis Fan, Brandon Legried, Sebastien Roch
http://arxiv.org/abs/2010.14460v1
• [math.ST]Distortion Representations of Multivariate Distributions
Jorge Navarro, Camilla Calì, Maria Longobardi, Fabrizio Durante
http://arxiv.org/abs/2010.14224v1
• [math.ST]Large Deviation principles of Realized Laplace Transform of Volatility
Xinwei Feng, Lidan He, Zhi Liu
http://arxiv.org/abs/2010.14170v1
• [math.ST]On Principal Component Regression in a High-Dimensional Error-in-Variables Setting
Anish Agarwal, Devavrat Shah, Dennis Shen
http://arxiv.org/abs/2010.14449v1
• [math.ST]Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference
Sean Plummer, Shuang Zhou, Anirban Bhattacharya, David Dunson, Debdeep Pati
http://arxiv.org/abs/2010.14056v1
• [math.ST]**Testing with p-values: Between p-values and e-values
Ruodu Wang
http://arxiv.org/abs/2010.14010v1
• [math.ST]The Efficiency Gap
Timo Dimitriadis, Tobias Fissler, Johanna F. Ziegel
http://arxiv.org/abs/2010.14146v1
• [physics.med-ph]CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels
Wenjun Xia, Zexin Lu, Yongqiang Huang, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
http://arxiv.org/abs/2010.14350v1
• [physics.med-ph]Fourth-Order Nonlocal Tensor Decomposition Model for Spectral Computed Tomography
Xiang Chen, Wenjun Xia, Yan Liu, Hu Chen, Jiliu Zhou, Yi Zhang
http://arxiv.org/abs/2010.14361v1
• [physics.soc-ph]Network-based Prediction of COVID-19 Epidemic Spreading in Italy
Clara Pizzuti, Annalisa Socievole, Bastian Prasse, Piet Van Mieghem
http://arxiv.org/abs/2010.14453v1
• [physics.soc-ph]Optimal transport for multi-commodity routing on networks
Alessandro Lonardi, Enrico Facca, Mario Putti, Caterina De Bacco
http://arxiv.org/abs/2010.14377v1
• [q-bio.GN]Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data
Dmitry I. Ignatov, Gennady V. Khvorykh, Andrey V. Khrunin, Stefan Nikolić, Makhmud Shaban, Elizaveta A. Petrova, Evgeniya A. Koltsova, Fouzi Takelait, Dmitrii Egurnov
http://arxiv.org/abs/2010.11641v2
• [q-bio.QM]Local Granger Causality
Sebastiano Stramaglia, Tomas Scagliarini, Yuri Antonacci, Luca Faes
http://arxiv.org/abs/2010.13833v1
• [q-bio.QM]Radiogenomics of Glioblastoma: Identification of Radiomics associated with Molecular Subtypes
Navodini Wijethilake, Mobarakol Islam, Dulani Meedeniya, Charith Chitraranjan, Indika Perera, Hongliang Ren
http://arxiv.org/abs/2010.14068v1
• [stat.AP]Above-ground biomass change estimation using national forest inventory data with Sentinel-2 and Landsat 8
Stefano Puliti, Johannes Breidenbach, Johannes Schumacher, Marius Hauglin, Torgeir Ferdinand Klingenberg, Rasmus Astrup
http://arxiv.org/abs/2010.14262v1
• [stat.AP]Expectile Neural Networks for Genetic Data Analysis of Complex Diseases
Jinghang Lin, Xiaoran Tong, Chenxi Li, Qing Lu
http://arxiv.org/abs/2010.13898v1
• [stat.AP]The Bayesian Spatial Bradley—Terry Model: Urban Deprivation Modeling in Tanzania
R. G. Seymour, D. Sirl, S. Preston, I. L. Dryden, M. J. A. Ellis, B. Perrat, J. Goulding
http://arxiv.org/abs/2010.14128v1
• [stat.ME]A Parallel Process Growth Mixture Model to Examine Heterogeneity in Joint Development with Nonlinear Trajectories
Jin Liu, Robert A. Perera
http://arxiv.org/abs/2010.13325v1
• [stat.ME]Block what you can, except when you shouldn’t
Nicole E. Pashley, Luke W. Miratrix
http://arxiv.org/abs/2010.14078v1
• [stat.ME]Dynamic Algorithms for Online Multiple Testing
Ziyu Xu, Aaditya Ramdas
http://arxiv.org/abs/2010.13953v1
• [stat.ME]Improved Inference of Gaussian Mixture Copula Model for Clustering and Reproducibility Analysis using Automatic Differentiation
Siva Rajesh Kasa, Vaibhav Rajan
http://arxiv.org/abs/2010.14359v1
• [stat.ME]Nonparametric estimation of highest density regions for COVID-19
Paula Saavedra-Nieves
http://arxiv.org/abs/2010.14340v1
• [stat.ME]Optimisation des parcours patients pour lutter contre l’errance de diagnostic des patients atteints de maladies rares
Frédéric Logé, Rémi Besson, Stéphanie Allassonnière
http://arxiv.org/abs/2010.14167v1
• [stat.ME]Relative Contrast Estimation and Inference for Treatment Recommendation
Muxuan Liang, Menggang Yu
http://arxiv.org/abs/2010.13904v1
• [stat.ME]Sequential knockoffs for continuous and categorical predictors: with application to a large Psoriatic Arthritis clinical trial pool
Matthias Kormaksson, Luke J. Kelly, Xuan Zhu, Sibylle Haemmerle, Luminita Pricop, David Ohlssen
http://arxiv.org/abs/2010.14026v1
• [stat.ML]A Computationally Efficient Approach to Black-box Optimization using Gaussian Process Models
Sudeep Salgia, Sattar Vakili, Qing Zhao
http://arxiv.org/abs/2010.13997v1
• [stat.ML]A Homotopic Method to Solve the Lasso Problems with an Improved Upper Bound of Convergence Rate
Yujie Zhao, Xiaoming Huo
http://arxiv.org/abs/2010.13934v1
• [stat.ML]A Weaker Faithfulness Assumption based on Triple Interactions
Alexander Marx, Arthur Gretton, Joris M. Mooij
http://arxiv.org/abs/2010.14265v1
• [stat.ML]Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability
Collas Fabien, Irurozki Ekhine
http://arxiv.org/abs/2010.14260v1
• [stat.ML]Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models
Jason W. Rocks, Pankaj Mehta
http://arxiv.org/abs/2010.13933v1
• [stat.ML]Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
Christian Soize, Roger Ghanem
http://arxiv.org/abs/2010.14324v1
• [stat.ML]Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning
Kamil Adamczewski, Frederik Harder, Mijung Park
http://arxiv.org/abs/2010.13872v1
• [stat.ML]Sub-sampling for Efficient Non-Parametric Bandit Exploration
Dorian Baudry, Emilie Kaufmann, Odalric-Ambrym Maillard
http://arxiv.org/abs/2010.14323v1
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