astro-ph.IM - 仪器仪表和天体物理学方法
cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 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.NI - 网络和互联网体系结构 cs.PF - 计算性能 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 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.ST - 统计理论 physics.comp-ph - 计算物理学 physics.flu-dyn - 流体动力学 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.IM]Deep learning for gravitational-wave data analysis: A resampling white-box approach
• [cond-mat.mtrl-sci]An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
• [cs.AI]A Methodological Approach to Model CBR-based Systems
• [cs.AI]Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess
• [cs.AI]Linear Temporal Public Announcement Logic: a new perspective for reasoning the knowledge of multi-classifiers
• [cs.AI]Tactical Decision Making for Emergency Vehicles based on a Combinational Learning Method
• [cs.CL]Central Yup’ik and Machine Translation of Low-Resource Polysynthetic Languages
• [cs.CL]Comparative Study of Language Models on Cross-Domain Data with Model Agnostic Explainability
• [cs.CL]Covid-Transformer: Detecting Trending Topics on Twitter Using Universal Sentence Encoder
• [cs.CL]Impact of News on the Commodity Market: Dataset and Results
• [cs.CL]Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling
• [cs.CL]Quantifying the Causal Effects of Conversational Tendencies
• [cs.CL]Quantifying the Effects of COVID-19 on Mental Health Support Forums
• [cs.CL]Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
• [cs.CL]kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
• [cs.CR]Attribute Privacy: Framework and Mechanisms
• [cs.CR]Going Deep: Using deep learning techniques with simplified mathematical models against XOR BR and TBR PUFs (Attacks and Countermeasures)
• [cs.CR]Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple
• [cs.CV]Binarized Neural Architecture Search for Efficient Object Recognition
• [cs.CV]Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding
• [cs.CV]Diversified Mutual Learning for Deep Metric Learning
• [cs.CV]HSFM-$Σ$nn: Combining a Feedforward Motion Prediction Network and Covariance Prediction
• [cs.CV]Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
• [cs.CV]Joint Pose and Shape Estimation of Vehicles from LiDAR Data
• [cs.CV]LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
• [cs.CV]MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
• [cs.CV]Modeling Wildfire Perimeter Evolution using Deep Neural Networks
• [cs.CV]One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction
• [cs.CV]Online trajectory recovery from offline handwritten Japanese kanji characters
• [cs.CV]Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review
• [cs.CV]Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens
• [cs.CV]Semi-supervised Medical Image Segmentation through Dual-task Consistency
• [cs.CV]Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification
• [cs.CV]Towards Unique and Informative Captioning of Images
• [cs.CV]Unconstrained Text Detection in Manga: a New Dataset and Baseline
• [cs.CV]Unsupervised Part Discovery by Unsupervised Disentanglement
• [cs.CV]View-consistent 4D Light Field Depth Estimation
• [cs.CY]Mobile Apps for Foot Measurement: A Scoping Review
• [cs.CY]On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion
• [cs.CY]The development and implementation of a PhD Program in ICT for the Kosovo Education System
• [cs.CY]Understanding the Dynamics of Drivers’ Locations for Passengers Pickup Performance: A Case Study
• [cs.CY]User documentation and training at Belle II
• [cs.DC]Learning Slab Classes to Alleviate Memory Holes in Memcached
• [cs.DC]Time-Optimal Construction of Overlay Networks
• [cs.GT]Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
• [cs.HC]A Distance-preserving Matrix Sketch
• [cs.HC]Adaptive driver-automation shared steering control via forearm surface electromyography measurement
• [cs.HC]Data Requests and Scenarios for Data Design of Unobserved Events in Corona-related Confusion Using TEEDA
• [cs.IR]Brown University at TREC Deep Learning 2019
• [cs.IR]CuratorNet: Visually-aware Recommendation of Art Images
• [cs.IT]On Decoding of Reed-Muller Codes Using Local Graph Search
• [cs.IT]On Perfect Obfuscation: Local Information Geometry Analysis
• [cs.IT]Opportunistic Beamforming using an Intelligent Reflecting Surface Without Instantaneous CSI
• [cs.IT]Sparse or Dense: A Comparative Study of Code-Domain NOMA Systems
• [cs.LG]A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice
• [cs.LG]Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
• [cs.LG]Bayesian Inverse Reinforcement Learning for Collective Animal Movement
• [cs.LG]Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression
• [cs.LG]Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
• [cs.LG]DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
• [cs.LG]Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality
• [cs.LG]FleXOR: Trainable Fractional Quantization
• [cs.LG]From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design
• [cs.LG]Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
• [cs.LG]Map-Adaptive Goal-Based Trajectory Prediction
• [cs.LG]Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification
• [cs.LG]Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
• [cs.LG]On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective
• [cs.LG]Phasic Policy Gradient
• [cs.LG]Proxy Network for Few Shot Learning
• [cs.LG]QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
• [cs.LG]Routing Networks with Co-training for Continual Learning
• [cs.LG]Rule-Guided Graph Neural Networks for Recommender Systems
• [cs.LG]SoK: Certified Robustness for Deep Neural Networks
• [cs.LG]Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
• [cs.LG]Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
• [cs.NE]Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions
• [cs.NI]Optimizing BLE-Like Neighbor Discovery
• [cs.PF]GPA: A GPU Performance Advisor Based on Instruction Sampling
• [cs.RO]Anticipatory Human-Robot Path Planning for Search and Rescue
• [cs.RO]Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
• [cs.RO]Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners
• [cs.RO]Optimal Trajectory Planning for Cinematography with Multiple Unmanned Aerial Vehicles
• [cs.RO]SEAN: Social Environment for Autonomous Navigation
• [cs.RO]Traction Adaptive Motion Planning at the Limits of Handling
• [cs.RO]Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition
• [cs.RO]Vision-Based Autonomous Drone Control using Supervised Learning in Simulation
• [cs.SD]Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer’s Dementia Recognition
• [cs.SI]Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network
• [cs.SI]Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations
• [eess.AS]1-Dimensional polynomial neural networks for audio signal related problems
• [eess.AS]Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks
• [eess.AS]VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
• [eess.IV]Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
• [eess.IV]Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems
• [eess.IV]Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models
• [eess.IV]Learning Anatomical Segmentations for Tractography from Diffusion MRI
• [eess.IV]Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
• [eess.IV]NTGAN: Learning Blind Image Denoising without Clean Reference
• [eess.IV]Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
• [eess.IV]Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission
• [eess.IV]not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget
• [eess.SP]Method for classifying a noisy Raman spectrum based on a wavelet transform and a deep neural network
• [eess.SP]Noise Reduction Technique for Raman Spectrum using Deep Learning Network
• [eess.SP]Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra
• [eess.SY]Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games
• [math.NA]Neural Time-Dependent Partial Differential Equation
• [math.OC]A General Model of Opinion Dynamics with Tunable Sensitivity
• [math.OC]Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization
• [math.OC]The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
• [math.ST]Analysis of Deviance for Hypothesis Testing in Generalized Partially Linear Models
• [math.ST]Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective
• [math.ST]Identification and estimation of Structural VARMA models using higher order dynamics
• [math.ST]Sequential construction and dimension reduction of Gaussian processes under inequality constraints
• [math.ST]Shannon entropy estimation for linear processes
• [math.ST]Template Matching and Change Point Detection by M-estimation
• [math.ST]The Earth Mover’s Correlation
• [physics.comp-ph]Combining data assimilation and machine learning to infer unresolved scale parametrisation
• [physics.flu-dyn]Data-assisted combustion simulations with dynamic submodel assignment using random forests
• [quant-ph]Fiber Bundle Codes: Breaking the $N^{1/2} \operatorname{polylog}(N)$ Barrier for Quantum LDPC Codes
• [stat.AP]A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands
• [stat.AP]A Framework for Crop Price Forecasting in Emerging Economies by Analyzing the Quality of Time-series Data
• [stat.AP]A Mortality Model for Multi-populations: A Semi-Parametric Approach
• [stat.AP]Health-behaviors associated with the growing risk of adolescent suicide attempts: A data-driven cross-sectional study
• [stat.AP]Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
• [stat.ME]A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
• [stat.ME]Bayesian statistical analysis of hydrogeochemical data using point processes: a new tool for source detection in multicomponent fluid mixtures
• [stat.ME]Density estimation and modeling on symmetric spaces
• [stat.ME]Nonparametric Density Estimation from Markov Chains
• [stat.ME]Testing for Treatment Effect in Covariate-Adaptive Randomized Clinical Trials with Generalized Linear Models and Omitted Covariates
• [stat.ML]Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space
• [stat.ML]Kernel-based parameter estimation of dynamical systems with unknown observation functions
• [stat.ML]Non-exponentially weighted aggregation: regret bounds for unbounded loss functions
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• [astro-ph.IM]Deep learning for gravitational-wave data analysis: A resampling white-box approach
Manuel D. Morales, Javier M. Antelis, Claudia Moreno, Alexander I. Nesterov
http://arxiv.org/abs/2009.04088v1
• [cond-mat.mtrl-sci]An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide
Ganesh Sivaraman, Leighanne Gallington, Anand Narayanan Krishnamoorthy, Marius Stan, Gabor Csanyi, Alvaro Vazquez-Mayagoitia, Chris J. Benmore
http://arxiv.org/abs/2009.04045v1
• [cs.AI]A Methodological Approach to Model CBR-based Systems
Eliseu M. Oliveira, Rafael F. Reale, Joberto S. B. Martins
http://arxiv.org/abs/2009.04346v1
• [cs.AI]Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess
Nenad Tomašev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik
http://arxiv.org/abs/2009.04374v1
• [cs.AI]Linear Temporal Public Announcement Logic: a new perspective for reasoning the knowledge of multi-classifiers
Amirhoshang Hoseinpour Dehkordi, Majid Alizadeh, Ali Movaghar
http://arxiv.org/abs/2009.03793v2
• [cs.AI]Tactical Decision Making for Emergency Vehicles based on a Combinational Learning Method
Haoyi Niu, Jianming Hu
http://arxiv.org/abs/2009.04203v1
• [cs.CL]Central Yup’ik and Machine Translation of Low-Resource Polysynthetic Languages
Christopher Liu, Laura Dominé, Kevin Chavez, Richard Socher
http://arxiv.org/abs/2009.04087v1
• [cs.CL]Comparative Study of Language Models on Cross-Domain Data with Model Agnostic Explainability
Mayank Chhipa, Hrushikesh Mahesh Vazurkar, Abhijeet Kumar, Mridul Mishra
http://arxiv.org/abs/2009.04095v1
• [cs.CL]Covid-Transformer: Detecting Trending Topics on Twitter Using Universal Sentence Encoder
Meysam Asgari-Chenaghlu, Narjes Nikzad-Khasmakhi, Shervin Minaee
http://arxiv.org/abs/2009.03947v1
• [cs.CL]Impact of News on the Commodity Market: Dataset and Results
Ankur Sinha, Tanmay Khandait
http://arxiv.org/abs/2009.04202v1
• [cs.CL]Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling
Yiding Hao, Simon Mendelsohn, Rachel Sterneck, Randi Martinez, Robert Frank
http://arxiv.org/abs/2009.03954v1
• [cs.CL]Quantifying the Causal Effects of Conversational Tendencies
Justine Zhang, Sendhil Mullainathan, Cristian Danescu-Niculescu-Mizil
http://arxiv.org/abs/2009.03897v1
• [cs.CL]Quantifying the Effects of COVID-19 on Mental Health Support Forums
Laura Biester, Katie Matton, Janarthanan Rajendran, Emily Mower Provost, Rada Mihalcea
http://arxiv.org/abs/2009.04008v1
• [cs.CL]Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
http://arxiv.org/abs/2009.04007v1
• [cs.CL]kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
Jiaxiang Liu, Xuyi Chen, Shikun Feng, Shuohuan Wang, Xuan Ouyang, Yu Sun, Zhengjie Huang, Weiyue Su
http://arxiv.org/abs/2009.03673v2
• [cs.CR]Attribute Privacy: Framework and Mechanisms
Wanrong Zhang, Olga Ohrimenko, Rachel Cummings
http://arxiv.org/abs/2009.04013v1
• [cs.CR]Going Deep: Using deep learning techniques with simplified mathematical models against XOR BR and TBR PUFs (Attacks and Countermeasures)
Mahmoud Khalafalla, Mahmoud A. Elmohr, Catherine Gebotys
http://arxiv.org/abs/2009.04063v1
• [cs.CR]Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple
Dayeol Lee, Dmitrii Kuvaiskii, Anjo Vahldiek-Oberwagner, Mona Vij
http://arxiv.org/abs/2009.04390v1
• [cs.CV]Binarized Neural Architecture Search for Efficient Object Recognition
Hanlin Chen, Li’an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David Doermann, Guodong Guo
http://arxiv.org/abs/2009.04247v1
• [cs.CV]Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding
Binh X. Nguyen, Binh D. Nguyen, Gustavo Carneiro, Erman Tjiputra, Quang D. Tran, Thanh-Toan Do
http://arxiv.org/abs/2009.04091v1
• [cs.CV]Diversified Mutual Learning for Deep Metric Learning
Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho
http://arxiv.org/abs/2009.04170v1
• [cs.CV]HSFM-$Σ$nn: Combining a Feedforward Motion Prediction Network and Covariance Prediction
A. Postnikov, A. Gamayunov, G. Ferrer
http://arxiv.org/abs/2009.04299v1
• [cs.CV]Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs
http://arxiv.org/abs/2009.04057v1
• [cs.CV]Joint Pose and Shape Estimation of Vehicles from LiDAR Data
Hunter Goforth, Xiaoyan Hu, Michael Happold, Simon Lucey
http://arxiv.org/abs/2009.03964v1
• [cs.CV]LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling
http://arxiv.org/abs/2009.03465v2
• [cs.CV]MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
Ke Zhang, Yukun Su, Xiwang Guo, Liang Qi, Zhenbing Zhao
http://arxiv.org/abs/2009.04177v1
• [cs.CV]Modeling Wildfire Perimeter Evolution using Deep Neural Networks
Maxfield E. Green, Karl Kaiser, Nat Shenton
http://arxiv.org/abs/2009.03977v1
• [cs.CV]One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction
Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin
http://arxiv.org/abs/2009.04153v1
• [cs.CV]Online trajectory recovery from offline handwritten Japanese kanji characters
Hung Tuan Nguyen, Tsubasa Nakamura, Cuong Tuan Nguyen, Masaki Nakagawa
http://arxiv.org/abs/2009.04284v1
• [cs.CV]Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review
Andre S. Abade, Paulo Afonso Ferreira, Flavio de Barros Vidal
http://arxiv.org/abs/2009.04365v1
• [cs.CV]Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens
Asim Khan, Umair Nawaz, Anwaar Ulhaq, Randall W. Robinson
http://arxiv.org/abs/2009.04110v1
• [cs.CV]Semi-supervised Medical Image Segmentation through Dual-task Consistency
Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang
http://arxiv.org/abs/2009.04448v1
• [cs.CV]Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification
Jiawei Liu, Xierong Zhu, Zheng-Jun Zha
http://arxiv.org/abs/2009.04181v1
• [cs.CV]Towards Unique and Informative Captioning of Images
Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky
http://arxiv.org/abs/2009.03949v1
• [cs.CV]Unconstrained Text Detection in Manga: a New Dataset and Baseline
Julián Del Gobbo, Rosana Matuk Herrera
http://arxiv.org/abs/2009.04042v1
• [cs.CV]Unsupervised Part Discovery by Unsupervised Disentanglement
Sandro Braun, Patrick Esser, Björn Ommer
http://arxiv.org/abs/2009.04264v1
• [cs.CV]View-consistent 4D Light Field Depth Estimation
Numair Khan, Min H. Kim, James Tompkin
http://arxiv.org/abs/2009.04065v1
• [cs.CY]Mobile Apps for Foot Measurement: A Scoping Review
Muhammad Ashad Kabir, Sowmen Rahman, Mohammad Mainul Islam, Sayed Ahmed, Craig Laird
http://arxiv.org/abs/2009.04198v1
• [cs.CY]On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion
Mukund Telukunta, Venkata Sriram Siddhardh Nadendla
http://arxiv.org/abs/2009.04383v1
• [cs.CY]The development and implementation of a PhD Program in ICT for the Kosovo Education System
Anita Mirijamdotter, Krenare Pireva Nuci, Michele Gibney, Patrik Elm
http://arxiv.org/abs/2009.03997v1
• [cs.CY]Understanding the Dynamics of Drivers’ Locations for Passengers Pickup Performance: A Case Study
Punit Rathore, Ali Zonoozi, Omid Geramifard, Tan Kian Lee
http://arxiv.org/abs/2009.04108v1
• [cs.CY]User documentation and training at Belle II
Sam Cunliffe, Ilya Komarov, Thomas Kuhr, Martin Ritter, Francesco Tenchini
http://arxiv.org/abs/2009.04166v1
• [cs.DC]Learning Slab Classes to Alleviate Memory Holes in Memcached
Devang Jhabakh Jai, Sudeep Das
http://arxiv.org/abs/2009.04403v1
• [cs.DC]Time-Optimal Construction of Overlay Networks
Thorsten Götte, Kristian Hinnenthal, Christian Scheideler, Julian Werthmann
http://arxiv.org/abs/2009.03987v1
• [cs.GT]Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina, Tuomas Sandholm
http://arxiv.org/abs/2009.04336v1
• [cs.HC]A Distance-preserving Matrix Sketch
Leland Wilkinson, Hengrui Luo
http://arxiv.org/abs/2009.03979v1
• [cs.HC]Adaptive driver-automation shared steering control via forearm surface electromyography measurement
Zheng Wang, Satoshi Suga, Edric John Cruz Nacpil, Zhanhong Yan, Kimihiko Nakano
http://arxiv.org/abs/2009.04100v1
• [cs.HC]Data Requests and Scenarios for Data Design of Unobserved Events in Corona-related Confusion Using TEEDA
Teruaki Hayashi, Nao Uehara, Daisuke Hase, Yukio Ohsawa
http://arxiv.org/abs/2009.04035v1
• [cs.IR]Brown University at TREC Deep Learning 2019
George Zerveas, Ruochen Zhang, Leila Kim, Carsten Eickhoff
http://arxiv.org/abs/2009.04016v1
• [cs.IR]CuratorNet: Visually-aware Recommendation of Art Images
Pablo Messina, Manuel Cartagena, Patricio Cerda, Felipe del Rio, Denis Parra
http://arxiv.org/abs/2009.04426v1
• [cs.IT]On Decoding of Reed-Muller Codes Using Local Graph Search
Mikhail Kamenev
http://arxiv.org/abs/2009.04338v1
• [cs.IT]On Perfect Obfuscation: Local Information Geometry Analysis
Behrooz Razeghi, Flavio. P. Calmon, Deniz Gunduz, Slava Voloshynovskiy
http://arxiv.org/abs/2009.04157v1
• [cs.IT]Opportunistic Beamforming using an Intelligent Reflecting Surface Without Instantaneous CSI
Qurrat-Ul-Ain Nadeem, Anas Chaaban, Merouane Debbah
http://arxiv.org/abs/2009.04010v1
• [cs.IT]Sparse or Dense: A Comparative Study of Code-Domain NOMA Systems
Zilong Liu, Lie-Liang Yang
http://arxiv.org/abs/2009.04148v1
• [cs.LG]A Generalized Online Algorithm for Translation and Scale Invariant Prediction with Expert Advice
Kaan Gokcesu, Hakan Gokcesu
http://arxiv.org/abs/2009.04372v1
• [cs.LG]Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm
Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat
http://arxiv.org/abs/2009.04441v1
• [cs.LG]Bayesian Inverse Reinforcement Learning for Collective Animal Movement
Toryn L. J. Schafer, Christopher K. Wikle, Mevin B. Hooten
http://arxiv.org/abs/2009.04003v1
• [cs.LG]Conditional Uncorrelation and Efficient Non-approximate Subset Selection in Sparse Regression
Jianji Wang, Qi Liu, Nanning Zheng
http://arxiv.org/abs/2009.03986v1
• [cs.LG]Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment
Jithin Jagannath, Anu Jagannath, Sean Furman, Tyler Gwin
http://arxiv.org/abs/2009.03349v2
• [cs.LG]DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
Victor M. Martinez Alvarez, Rareş Roşca, Cristian G. Fălcuţescu
http://arxiv.org/abs/2009.04278v1
• [cs.LG]Finite-Sample Guarantees for Wasserstein Distributionally Robust Optimization: Breaking the Curse of Dimensionality
Rui Gao
http://arxiv.org/abs/2009.04382v1
• [cs.LG]FleXOR: Trainable Fractional Quantization
Dongsoo Lee, Se Jung Kwon, Byeongwook Kim, Yongkweon Jeon, Baeseong Park, Jeongin Yun
http://arxiv.org/abs/2009.04126v1
• [cs.LG]From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design
Ruiyuan Lin, Zhiruo Zhou, Suya You, Raghuveer Rao, C. -C. Jay Kuo
http://arxiv.org/abs/2009.04442v1
• [cs.LG]Investigation of REFINED CNN ensemble learning for anti-cancer drug sensitivity prediction
Omid Bazgir, Souparno Ghosh, Ranadip Pal
http://arxiv.org/abs/2009.04076v1
• [cs.LG]Map-Adaptive Goal-Based Trajectory Prediction
Lingyao Zhang, Po-Hsun Su, Jerrick Hoang, Galen Clark Haynes, Micol Marchetti-Bowick
http://arxiv.org/abs/2009.04450v1
• [cs.LG]Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification
Yunsheng Shi, Zhengjie Huang, Wenjin Wang, Hui Zhong, Shikun Feng, Yu Sun
http://arxiv.org/abs/2009.03509v2
• [cs.LG]Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos Georgopoulos, Grigorios Chrysos, Maja Pantic, Yannis Panagakis
http://arxiv.org/abs/2009.04075v1
• [cs.LG]On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective
SeongUk Park, Kiyoon Yoo, Nojun Kwak
http://arxiv.org/abs/2009.04120v1
• [cs.LG]Phasic Policy Gradient
Karl Cobbe, Jacob Hilton, Oleg Klimov, John Schulman
http://arxiv.org/abs/2009.04416v1
• [cs.LG]Proxy Network for Few Shot Learning
Bin Xiao, Chien-Liang Liu, Wen-Hoar Hsaio
http://arxiv.org/abs/2009.04292v1
• [cs.LG]QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning
Jian Hu, Seth Austin Harding, Haibin Wu, Shih-wei Liao
http://arxiv.org/abs/2009.04197v1
• [cs.LG]Routing Networks with Co-training for Continual Learning
Mark Collier, Efi Kokiopoulou, Andrea Gesmundo, Jesse Berent
http://arxiv.org/abs/2009.04381v1
• [cs.LG]Rule-Guided Graph Neural Networks for Recommender Systems
Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu
http://arxiv.org/abs/2009.04104v1
• [cs.LG]SoK: Certified Robustness for Deep Neural Networks
Linyi Li, Xiangyu Qi, Tao Xie, Bo Li
http://arxiv.org/abs/2009.04131v1
• [cs.LG]Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
Junxiang Wang, Zheng Chai, Xiang Chen, Liang Zhao
http://arxiv.org/abs/2009.04053v1
• [cs.LG]Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs
Gilles Vandewiele, Bram Steenwinckel, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae
http://arxiv.org/abs/2009.04404v1
• [cs.NE]Generalizing Complex/Hyper-complex Convolutions to Vector Map Convolutions
Chase J Gaudet, Anthony S Maida
http://arxiv.org/abs/2009.04083v1
• [cs.NI]Optimizing BLE-Like Neighbor Discovery
Philipp H. Kindt, Swaminathan Narayanaswamy, Marco Saur, Samarjit Chakraborty
http://arxiv.org/abs/2009.04199v1
• [cs.PF]GPA: A GPU Performance Advisor Based on Instruction Sampling
Keren Zhou, Xiaozhu Meng, Ryuichi Sai, John Mellor-Crummey
http://arxiv.org/abs/2009.04061v1
• [cs.RO]Anticipatory Human-Robot Path Planning for Search and Rescue
Barnabas Gavin Cangan, Larkin Heintzman, Amanda Hashimoto, Nicole Abaid, Ryan K. Williams
http://arxiv.org/abs/2009.03976v1
• [cs.RO]Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents
Jacopo Tani, Andrea F. Daniele, Gianmarco Bernasconi, Amaury Camus, Aleksandar Petrov, Anthony Courchesne, Bhairav Mehta, Rohit Suri, Tomasz Zaluska, Matthew R. Walter, Emilio Frazzoli, Liam Paull, Andrea Censi
http://arxiv.org/abs/2009.04362v1
• [cs.RO]Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners
Nima Fazeli, Anurag Ajay, Alberto Rodriguez
http://arxiv.org/abs/2009.03994v1
• [cs.RO]Optimal Trajectory Planning for Cinematography with Multiple Unmanned Aerial Vehicles
Alfonso Alcántara, Jesús Capitán, Rita Cunha, Aníbal Ollero
http://arxiv.org/abs/2009.04234v1
• [cs.RO]SEAN: Social Environment for Autonomous Navigation
Nathan Tsoi, Mohamed Hussein, Jeacy Espinoza, Xavier Ruiz, Marynel Vázquez
http://arxiv.org/abs/2009.04300v1
• [cs.RO]Traction Adaptive Motion Planning at the Limits of Handling
Lars Svensson, Monimoy Bujarbaruah, Arpit Karsolia, Christian Berger, Martin Törngren
http://arxiv.org/abs/2009.04180v1
• [cs.RO]Unmanned Aerial Vehicle Control Through Domain-based Automatic Speech Recognition
Ruben Contreras, Angel Ayala, Francisco Cruz
http://arxiv.org/abs/2009.04215v1
• [cs.RO]Vision-Based Autonomous Drone Control using Supervised Learning in Simulation
Max Christl
http://arxiv.org/abs/2009.04298v1
• [cs.SD]Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer’s Dementia Recognition
Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo, Yujin Jo, Kyogu Lee
http://arxiv.org/abs/2009.04070v1
• [cs.SI]Nondiagonal Mixture of Dirichlet Network Distributions for Analyzing a Stock Ownership Network
Wenning Zhang, Ryohei Hisano, Takaaki Ohnishi, Takayuki Mizuno
http://arxiv.org/abs/2009.04446v1
• [cs.SI]Social Analytics of Team Interaction using Dynamic Complexity Heat Maps and Network Visualizations
Travis J. Wiltshire, Dan Hudson, Philia Lijdsman, Stijn Wever, Martin Atzmueller
http://arxiv.org/abs/2009.04445v1
• [eess.AS]1-Dimensional polynomial neural networks for audio signal related problems
Habib Ben Abdallah, Christopher J. Henry, Sheela Ramanna
http://arxiv.org/abs/2009.04077v1
• [eess.AS]Multiple F0 Estimation in Vocal Ensembles using Convolutional Neural Networks
Helena Cuesta, Brian McFee, Emilia Gómez
http://arxiv.org/abs/2009.04172v1
• [eess.AS]VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition
Quan Wang, Ignacio Lopez Moreno, Mert Saglam, Kevin Wilson, Alan Chiao, Renjie Liu, Yanzhang He, Wei Li, Jason Pelecanos, Marily Nika, Alexander Gruenstein
http://arxiv.org/abs/2009.04323v1
• [eess.IV]Anonymization of labeled TOF-MRA images for brain vessel segmentation using generative adversarial networks
Tabea Kossen, Pooja Subramaniam, Vince I. Madai, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey
http://arxiv.org/abs/2009.04227v1
• [eess.IV]Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems
Yixing Huang, Fuxin Fan, Christopher Syben, Philipp Roser, Leonid Mill, Andreas Maier
http://arxiv.org/abs/2009.04420v1
• [eess.IV]Fuzzy Unique Image Transformation: Defense Against Adversarial Attacks On Deep COVID-19 Models
Achyut Mani Tripathi, Ashish Mishra
http://arxiv.org/abs/2009.04004v1
• [eess.IV]Learning Anatomical Segmentations for Tractography from Diffusion MRI
Christian Ewert, David Kügler, Anastasia Yendiki, Martin Reuter
http://arxiv.org/abs/2009.04392v1
• [eess.IV]Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
Reuben Dorent, Thomas Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Jorge Cardoso, Sebastien Ourselin, Tom Vercauteren
http://arxiv.org/abs/2009.04009v1
• [eess.IV]NTGAN: Learning Blind Image Denoising without Clean Reference
Rui Zhao, Daniel P. K. Lun, Kin-Man Lam
http://arxiv.org/abs/2009.04286v1
• [eess.IV]Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data
Radu Miron, Cosmin Moisii, Mihaela Breaban
http://arxiv.org/abs/2009.04160v1
• [eess.IV]Single Image Super-Resolution for Domain-Specific Ultra-Low Bandwidth Image Transmission
Jesper Haahr Christensen, Lars Valdemar Mogensen, Ole Ravn
http://arxiv.org/abs/2009.04127v1
• [eess.IV]not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget
Seungwook Han, Akash Srivastava, Cole Hurwitz, Prasanna Sattigeri, David D. Cox
http://arxiv.org/abs/2009.04433v1
• [eess.SP]Method for classifying a noisy Raman spectrum based on a wavelet transform and a deep neural network
Liangrui Pan, Pronthep Pipitsunthonsan, Chalongrat Daengngam, Sittiporn Channumsin, Suwat Sreesawet, Mitchai Chongcheawchamnan
http://arxiv.org/abs/2009.04078v1
• [eess.SP]Noise Reduction Technique for Raman Spectrum using Deep Learning Network
Liangrui Pan, Pronthep Pipitsunthonsan, Peng Zhang, Chalongrat Daengngam, Apidach Booranawong, Mitcham Chongcheawchamnan
http://arxiv.org/abs/2009.04067v1
• [eess.SP]Small-floating Target Detection in Sea Clutter via Visual Feature Classifying in the Time-Doppler Spectra
Yi Zhou, Yin Cui, Xiaoke Xu, Jidong Suo, Xiaoming Liu
http://arxiv.org/abs/2009.04185v1
• [eess.SY]Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games
Muhammad Aneeq uz Zaman, Kaiqing Zhang, Erik Miehling, Tamer Ba{ş}ar
http://arxiv.org/abs/2009.04350v1
• [math.NA]Neural Time-Dependent Partial Differential Equation
Yihao Hu, Tong Zhao, Zhiliang Xu, Lizhen Lin
http://arxiv.org/abs/2009.03892v1
• [math.OC]A General Model of Opinion Dynamics with Tunable Sensitivity
Anastasia Bizyaeva, Alessio Franci, Naomi Ehrich Leonard
http://arxiv.org/abs/2009.04332v1
• [math.OC]Optimal Accelerated Variance Reduced EXTRA and DIGing for Strongly Convex and Smooth Decentralized Optimization
Huan Li, Zhouchen Lin, Yongchun Fang
http://arxiv.org/abs/2009.04373v1
• [math.OC]The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation
Thibault Séjourné, François-Xavier Vialard, Gabriel Peyré
http://arxiv.org/abs/2009.04266v1
• [math.ST]Analysis of Deviance for Hypothesis Testing in Generalized Partially Linear Models
Wolfgang Karl Härdle, Li-Shan Huang
http://arxiv.org/abs/2009.04252v1
• [math.ST]Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective
Fengshuo Zhang, Chao Gao
http://arxiv.org/abs/2009.03969v1
• [math.ST]Identification and estimation of Structural VARMA models using higher order dynamics
Carlos Velasco
http://arxiv.org/abs/2009.04428v1
• [math.ST]Sequential construction and dimension reduction of Gaussian processes under inequality constraints
François Bachoc, Andrés F. López Lopera, Olivier Roustant
http://arxiv.org/abs/2009.04188v1
• [math.ST]Shannon entropy estimation for linear processes
Timothy Fortune, Hailin Sang
http://arxiv.org/abs/2009.03472v2
• [math.ST]Template Matching and Change Point Detection by M-estimation
Ery Arias-Castro, Lin Zheng
http://arxiv.org/abs/2009.04072v1
• [math.ST]The Earth Mover’s Correlation
Tamás F. Móri, Gábor J. Székely
http://arxiv.org/abs/2009.04313v1
• [physics.comp-ph]Combining data assimilation and machine learning to infer unresolved scale parametrisation
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino
http://arxiv.org/abs/2009.04318v1
• [physics.flu-dyn]Data-assisted combustion simulations with dynamic submodel assignment using random forests
Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme
http://arxiv.org/abs/2009.04023v1
• [quant-ph]Fiber Bundle Codes: Breaking the $N^{1/2} \operatorname{polylog}(N)$ Barrier for Quantum LDPC Codes
Matthew B. Hastings, Jeongwan Haah, Ryan O’Donnell
http://arxiv.org/abs/2009.03921v1
• [stat.AP]A Bayesian Nonparametric Analysis of the 2003 Outbreak of Highly Pathogenic Avian Influenza in the Netherlands
R. G. Seymour, T. Kypraios, P. D. O’Neill, T. J. Hagenaars
http://arxiv.org/abs/2009.04137v1
• [stat.AP]A Framework for Crop Price Forecasting in Emerging Economies by Analyzing the Quality of Time-series Data
Ayush Jain, Smit Marvaniya, Shantanu Godbole, Vitobha Munigala
http://arxiv.org/abs/2009.04171v1
• [stat.AP]A Mortality Model for Multi-populations: A Semi-Parametric Approach
Lei Fang, Wolfgang K. Härdle, Juhyun Park
http://arxiv.org/abs/2009.04296v1
• [stat.AP]Health-behaviors associated with the growing risk of adolescent suicide attempts: A data-driven cross-sectional study
Zhiyuan Wei, Sayanti Mukherjee
http://arxiv.org/abs/2009.03966v1
• [stat.AP]Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods
Rodrigo Rivera-Castro, Ivan Nazarov, Evgeny Burnaev
http://arxiv.org/abs/2009.04359v1
• [stat.ME]A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
Yuqi Gu, Gongjun Xu
http://arxiv.org/abs/2009.04096v1
• [stat.ME]Bayesian statistical analysis of hydrogeochemical data using point processes: a new tool for source detection in multicomponent fluid mixtures
Christophe Reype, Antonin Richard, Madalina Deaconu, Radu Stoica
http://arxiv.org/abs/2009.04132v1
• [stat.ME]Density estimation and modeling on symmetric spaces
Didong Li, Yulong Lu, Emmanuel Chevalier, David B. Dunson
http://arxiv.org/abs/2009.01983v2
• [stat.ME]Nonparametric Density Estimation from Markov Chains
Andrea De Simone, Alessandro Morandini
http://arxiv.org/abs/2009.03937v1
• [stat.ME]Testing for Treatment Effect in Covariate-Adaptive Randomized Clinical Trials with Generalized Linear Models and Omitted Covariates
Li Yang, Wei Ma, Yichen Qin, Feifang Hu
http://arxiv.org/abs/2009.04136v1
• [stat.ML]Consistency and Regression with Laplacian regularization in Reproducing Kernel Hilbert Space
Cabannes Vivien
http://arxiv.org/abs/2009.04324v1
• [stat.ML]Kernel-based parameter estimation of dynamical systems with unknown observation functions
Ofir Lindenbaum, Amir Sagiv, Gal Mishne, Ronen Talmon
http://arxiv.org/abs/2009.04142v1
• [stat.ML]Non-exponentially weighted aggregation: regret bounds for unbounded loss functions
Pierre Alquier
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