cond-mat.dis-nn - 无序系统与神经网络
cond-mat.stat-mech - 统计数学
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.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.flu-dyn - 流体动力学
q-bio.BM - 生物分子
quant-ph - 量子物理
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Unveiling the structure of wide flat minima in neural networks
• [cond-mat.stat-mech]Minimizing couplings in renormalization by preserving short-range mutual information
• [cs.AI]A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
• [cs.AI]Computing Fuzzy Rough Set based Similarities with Fuzzy Inference and Its Application to Sentence Similarity Computations
• [cs.AI]Embodiment and Computational Creativity
• [cs.AI]Ethics Sheets for AI Tasks
• [cs.AI]General Board Game Concepts
• [cs.AI]Learning Primal Heuristics for Mixed Integer Programs
• [cs.AI]Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
• [cs.AI]Proof of the impossibility of probabilistic induction
• [cs.AI]The Optimal Size of an Epistemic Congress
• [cs.CL]Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
• [cs.CL]DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature
• [cs.CL]DUKweb: Diachronic word representations from the UK Web Archive corpus
• [cs.CL]Data Centric Domain Adaptation for Historical Text with OCR Errors
• [cs.CL]He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics
• [cs.CL]Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension
• [cs.CL]Language Identification of Hindi-English tweets using code-mixed BERT
• [cs.CL]Learned Token Pruning for Transformers
• [cs.CL]R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
• [cs.CL]Transformer-F: A Transformer network with effective methods for learning universal sentence representation
• [cs.CL]Unsupervised Spoken Utterance Classification
• [cs.CR]Reinforcement Learning for Feedback-Enabled Cyber Resilience
• [cs.CR]Segmented Federated Learning for Adaptive Intrusion Detection System
• [cs.CV]1st Place Solutions for UG2+ Challenge 2021 — (Semi-)supervised Face detection in the low light condition
• [cs.CV]A Survey on Deep Learning Technique for Video Segmentation
• [cs.CV]Audio-visual Attentive Fusion for Continuous Emotion Recognition
• [cs.CV]Collaborative Visual Navigation
• [cs.CV]Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors
• [cs.CV]Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
• [cs.CV]Cross-view Geo-localization with Evolving Transformer
• [cs.CV]Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods
• [cs.CV]Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
• [cs.CV]HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset
• [cs.CV]HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks
• [cs.CV]How Incomplete is Contrastive Learning? AnInter-intra Variant Dual Representation Method forSelf-supervised Video Recognition
• [cs.CV]MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification
• [cs.CV]MSN: Multi-Style Network for Trajectory Prediction
• [cs.CV]Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
• [cs.CV]Mixed Supervision Learning for Whole Slide Image Classification
• [cs.CV]NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
• [cs.CV]Optical Braille Recognition using Circular Hough Transform
• [cs.CV]Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
• [cs.CV]Sub-millisecond Video Synchronization of Multiple Android Smartphones
• [cs.CV]Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
• [cs.CV]Unsupervised Single Image Super-resolution Under Complex Noise
• [cs.CV]Visual Relationship Forecasting in Videos
• [cs.CY]Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic
• [cs.CY]Instagrammable Data: Using Visuals to Showcase More Than Numbers on AJ Labs Instagram Page
• [cs.CY]User Role Discovery and Optimization Method based on K-means + Reinforcement learning in Mobile Applications
• [cs.DC]4C: A Computation, Communication, and Control Co-Design Framework for CAVs
• [cs.DC]A Micro-Service based Approach for Constructing Distributed Storage System
• [cs.DC]Scrooge Attack: Undervolting ARM Processors for Profit
• [cs.DL]Web Archive Analytics
• [cs.DS]Near-optimal Algorithms for Explainable k-Medians and k-Means
• [cs.DS]On the Bike Spreading Problem
• [cs.DS]Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
• [cs.IR]Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks
• [cs.IR]Exploiting Positional Information for Session-based Recommendation
• [cs.IR]On-Demand and Lightweight Knowledge Graph Generation — a Demonstration with DBpedia
• [cs.IR]Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
• [cs.IT]A Novel Low Complexity Faster-than-Nyquist (FTN) Signaling Detector for Ultra High-Order QAM
• [cs.IT]Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users
• [cs.IT]Design and Implementation of MIMO Transmission Based on Dual-Polarized Reconfigurable Intelligent Surface
• [cs.IT]Measuring Information Leakage in Non-stochastic Brute-Force Guessing
• [cs.IT]Moments of Subsets of General Equiangular Tight Frames
• [cs.IT]PIR codes from combinatorial structures
• [cs.IT]Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing
• [cs.LG]A Systems Theory of Transfer Learning
• [cs.LG]Almost Tight Approximation Algorithms for Explainable Clustering
• [cs.LG]Analytic Insights into Structure and Rank of Neural Network Hessian Maps
• [cs.LG]Backward-Compatible Prediction Updates: A Probabilistic Approach
• [cs.LG]CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning
• [cs.LG]Combinatorial Optimization with Physics-Inspired Graph Neural Networks
• [cs.LG]Decision tree heuristics can fail, even in the smoothed setting
• [cs.LG]Deep learning-based statistical noise reduction for multidimensional spectral data
• [cs.LG]DeformRS: Certifying Input Deformations with Randomized Smoothing
• [cs.LG]Empirically Measuring Transfer Distance for System Design and Operation
• [cs.LG]Few-shot Learning for Unsupervised Feature Selection
• [cs.LG]From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
• [cs.LG]Gap-Dependent Bounds for Two-Player Markov Games
• [cs.LG]Gradient-Leakage Resilient Federated Learning
• [cs.LG]Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
• [cs.LG]Misinformation Detection on YouTube Using Video Captions
• [cs.LG]Mitigating deep double descent by concatenating inputs
• [cs.LG]Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
• [cs.LG]Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
• [cs.LG]On Bridging Generic and Personalized Federated Learning
• [cs.LG]Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
• [cs.LG]RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
• [cs.LG]Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
• [cs.LG]Reconsidering Dependency Networks from an Information Geometry Perspective
• [cs.LG]ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
• [cs.LG]Road Roughness Estimation Using Machine Learning
• [cs.LG]Shared Data and Algorithms for Deep Learning in Fundamental Physics
• [cs.LG]SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
• [cs.LG]The Causal Neural Connection: Expressiveness, Learnability, and Inference
• [cs.LG]The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
• [cs.LG]Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions
• [cs.LG]q-Paths: Generalizing the Geometric Annealing Path using Power Means
• [cs.NI]AÇAI: Ascent Similarity Caching with Approximate Indexes
• [cs.RO]A Levy Flight based Narrow Passage Sampling Method for Probabilistic Roadmap Planners
• [cs.RO]Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles
• [cs.RO]Brain over Brawn — Using a Stereo Camera to Detect, Track and Intercept a Faster UAV by Reconstructing Its Trajectory
• [cs.RO]Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions
• [cs.RO]Cooperative Autonomous Vehicles that Sympathize with Human Drivers
• [cs.RO]Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
• [cs.RO]F-LOAM: Fast LiDAR Odometry And Mapping
• [cs.RO]Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking
• [cs.RO]POMP++: Pomcp-based Active Visual Search in unknown indoor environments
• [cs.RO]RMQFMU: Bridging the Real World with Co-simulation Technical Report
• [cs.RO]ReQuBiS — Reconfigurable Quadrupedal-Bipedal Snake Robots
• [cs.RO]Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots
• [cs.SD]Supervised Contrastive Learning for Accented Speech Recognition
• [cs.SD]Vox Populi, Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription
• [cs.SE]An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors
• [cs.SE]Multimodal Representation for Neural Code Search
• [cs.SI]A Weighted and Normalized Gould-Fernandez Brokerage Measure
• [econ.EM]Partial Identification and Inference in Duration Models with Endogenous Censoring
• [eess.AS]Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
• [eess.IV]LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
• [eess.IV]On Measuring and Controlling the Spectral Bias of the Deep Image Prior
• [math.NA]Cell-average based neural network method for hyperbolic and parabolic partial differential equations
• [math.OC]Exploration noise for learning linear-quadratic mean field games
• [math.OC]Screening for a Reweighted Penalized Conditional Gradient Method
• [math.ST]Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification
• [math.ST]Demystifying statistical learning based on efficient influence functions
• [physics.flu-dyn]An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence
• [q-bio.BM]Structural biology in the clouds: The WeNMR-EOSC Ecosystem
• [q-bio.BM]Toward Robust Drug-Target Interaction Prediction via Ensemble Modeling and Transfer Learning
• [quant-ph]Conflict-free collective stochastic decision making by orbital angular momentum entangled photons
• [stat.ME]A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data
• [stat.ME]A Robust Seemingly Unrelated Regressions For Row-Wise And Cell-Wise Contamination
• [stat.ME]Depth-based Outlier Detection for Grouped Smart Meters: a Functional Data Analysis Toolbox
• [stat.ME]Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
• [stat.ME]Homogeneity in the instrument-treatment association is not sufficient for the Wald estimand to equal the average causal effect when the exposure is continuous
• [stat.ME]Nonnegative Matrix Factorization with Group and Basis Restrictions
• [stat.ME]Testing Randomization and Relaxed Randomization Assumptions: A Clustering With Side-information Approach
• [stat.ME]Time series models with infinite-order partial copula dependence
• [stat.ME]Two edge-count tests and relevance analysis in k high-dimensional samples
• [stat.ML]Memory Efficient Meta-Learning with Large Images
• [stat.ML]Meta-Learning for Relative Density-Ratio Estimation
• [stat.ML]Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
• [stat.ML]Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
• [stat.ML]Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
·····································
• [cond-mat.dis-nn]Unveiling the structure of wide flat minima in neural networks
Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
http://arxiv.org/abs/2107.01163v1
• [cond-mat.stat-mech]Minimizing couplings in renormalization by preserving short-range mutual information
Christian Bertoni, Joseph M. Renes
http://arxiv.org/abs/2107.00990v1
• [cs.AI]A Novel Deep Reinforcement Learning Based Stock Direction Prediction using Knowledge Graph and Community Aware Sentiments
Anil Berk Altuner, Zeynep Hilal Kilimci
http://arxiv.org/abs/2107.00931v1
• [cs.AI]Computing Fuzzy Rough Set based Similarities with Fuzzy Inference and Its Application to Sentence Similarity Computations
Nidhika Yadav
http://arxiv.org/abs/2107.01170v1
• [cs.AI]Embodiment and Computational Creativity
Christian Guckelsberger, Anna Kantosalo, Santiago Negrete-Yankelevich, Tapio Takala
http://arxiv.org/abs/2107.00949v1
• [cs.AI]Ethics Sheets for AI Tasks
Saif M. Mohammad
http://arxiv.org/abs/2107.01183v1
• [cs.AI]General Board Game Concepts
Éric Piette, Matthew Stephenson, Dennis J. N. J. Soemers, Cameron Browne
http://arxiv.org/abs/2107.01078v1
• [cs.AI]Learning Primal Heuristics for Mixed Integer Programs
Yunzhuang Shen, Yuan Sun, Andrew Eberhard, Xiaodong Li
http://arxiv.org/abs/2107.00866v1
• [cs.AI]Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
http://arxiv.org/abs/2107.00894v1
• [cs.AI]Proof of the impossibility of probabilistic induction
Vaden Masrani
http://arxiv.org/abs/2107.00749v1
• [cs.AI]The Optimal Size of an Epistemic Congress
Manon Revel, Tao Lin, Daniel Halpern
http://arxiv.org/abs/2107.01042v1
• [cs.CL]Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
Anastasia Zhukova, Felix Hamborg, Karsten Donnay, Bela Gipp
http://arxiv.org/abs/2107.00955v1
• [cs.CL]DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature
Abheesht Sharma, Gunjan Chhablani, Harshit Pandey, Rajaswa Patil
http://arxiv.org/abs/2107.01198v1
• [cs.CL]DUKweb: Diachronic word representations from the UK Web Archive corpus
Adam Tsakalidis, Pierpaolo Basile, Marya Bazzi, Mihai Cucuringu, Barbara McGillivray
http://arxiv.org/abs/2107.01076v1
• [cs.CL]Data Centric Domain Adaptation for Historical Text with OCR Errors
Luisa März, Stefan Schweter, Nina Poerner, Benjamin Roth, Hinrich Schütze
http://arxiv.org/abs/2107.00927v1
• [cs.CL]He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics
Nanjiang Jiang, Marie-Catherine de Marneffe
http://arxiv.org/abs/2107.00807v1
• [cs.CL]Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension
Feng Gao, Jian-Cheng Ni, Peng Gao, Zi-Li Zhou, Yan-Yan Li, Hamido Fujita
http://arxiv.org/abs/2107.00841v1
• [cs.CL]Language Identification of Hindi-English tweets using code-mixed BERT
Mohd Zeeshan Ansari, M M Sufyan Beg, Tanvir Ahmad, Mohd Jazib Khan, Ghazali Wasim
http://arxiv.org/abs/2107.01202v1
• [cs.CL]Learned Token Pruning for Transformers
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer
http://arxiv.org/abs/2107.00910v1
• [cs.CL]R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
Xiang Hu, Haitao Mi, Zujie Wen, Yafang Wang, Yi Su, Jing Zheng, Gerard de Melo
http://arxiv.org/abs/2107.00967v1
• [cs.CL]Transformer-F: A Transformer network with effective methods for learning universal sentence representation
Yu Shi
http://arxiv.org/abs/2107.00653v1
• [cs.CL]Unsupervised Spoken Utterance Classification
Shahab Jalalvand, Srinivas Bangalore
http://arxiv.org/abs/2107.01068v1
• [cs.CR]Reinforcement Learning for Feedback-Enabled Cyber Resilience
Yunhan Huang, Linan Huang, Quanyan Zhu
http://arxiv.org/abs/2107.00783v1
• [cs.CR]Segmented Federated Learning for Adaptive Intrusion Detection System
Geet Shingi, Harsh Saglani, Preeti Jain
http://arxiv.org/abs/2107.00881v1
• [cs.CV]1st Place Solutions for UG2+ Challenge 2021 — (Semi-)supervised Face detection in the low light condition
Pengcheng Wang, Lingqiao Ji, Zhilong Ji, Yuan Gao, Xiao Liu
http://arxiv.org/abs/2107.00818v1
• [cs.CV]A Survey on Deep Learning Technique for Video Segmentation
Wenguan Wang, Tianfei Zhou, Fatih Porikli, David Crandall, Luc Van Gool
http://arxiv.org/abs/2107.01153v1
• [cs.CV]Audio-visual Attentive Fusion for Continuous Emotion Recognition
Su Zhang, Yi Ding, Ziquan Wei, Cuntai Guan
http://arxiv.org/abs/2107.01175v1
• [cs.CV]Collaborative Visual Navigation
Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, Liwei Wang
http://arxiv.org/abs/2107.01151v1
• [cs.CV]Comparison of end-to-end neural network architectures and data augmentation methods for automatic infant motility assessment using wearable sensors
Manu Airaksinen, Sampsa Vanhatalo, Okko Räsänen
http://arxiv.org/abs/2107.01086v1
• [cs.CV]Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
http://arxiv.org/abs/2107.01079v1
• [cs.CV]Cross-view Geo-localization with Evolving Transformer
Hongji Yang, Xiufan Lu, Yingying Zhu
http://arxiv.org/abs/2107.00842v1
• [cs.CV]Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods
Davood Zabihzadeh
http://arxiv.org/abs/2107.01130v1
• [cs.CV]Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis
http://arxiv.org/abs/2107.00964v1
• [cs.CV]HO-3D_v3: Improving the Accuracy of Hand-Object Annotations of the HO-3D Dataset
Shreyas Hampali, Sayan Deb Sarkar, Vincent Lepetit
http://arxiv.org/abs/2107.00887v1
• [cs.CV]HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks
Jameel Malik, Soshi Shimada, Ahmed Elhayek, Sk Aziz Ali, Christian Theobalt, Vladislav Golyanik, Didier Stricker
http://arxiv.org/abs/2107.01205v1
• [cs.CV]How Incomplete is Contrastive Learning? AnInter-intra Variant Dual Representation Method forSelf-supervised Video Recognition
Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang
http://arxiv.org/abs/2107.01194v1
• [cs.CV]MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification
Xiaoni Li, Yucan Zhou, Yu Zhou, Weiping Wang
http://arxiv.org/abs/2107.00808v1
• [cs.CV]MSN: Multi-Style Network for Trajectory Prediction
Conghao Wong, Beihao Xia, Qinmu Peng, Xinge You
http://arxiv.org/abs/2107.00932v1
• [cs.CV]Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
Yibao Sun, Xingru Huang, Yaqi Wang, Huiyu Zhou, Qianni Zhang
http://arxiv.org/abs/2107.010
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63v1
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63v1)
• [cs.CV]Mixed Supervision Learning for Whole Slide Image Classification
Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang
http://arxiv.org/abs/2107.00934v1
• [cs.CV]NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
Jerrick Liu, Nathan Inkawhich, Oliver Nina, Radu Timofte, Sahil Jain, Bob Lee, Yuru Duan, Wei Wei, Lei Zhang, Songzheng Xu, Yuxuan Sun, Jiaqi Tang, Xueli Geng, Mengru Ma, Gongzhe Li, Xueli Geng, Huanqia Cai, Chengxue Cai, Sol Cummings, Casian Miron, Alexandru Pasarica, Cheng-Yen Yang, Hung-Min Hsu, Jiarui Cai, Jie Mei, Chia-Ying Yeh, Jenq-Neng Hwang, Michael Xin, Zhongkai Shangguan, Zihe Zheng, Xu Yifei, Lehan Yang, Kele Xu, Min Feng
http://arxiv.org/abs/2107.01189v1
• [cs.CV]Optical Braille Recognition using Circular Hough Transform
Zeba Khanam, Atiya Usmani
http://arxiv.org/abs/2107.00993v1
• [cs.CV]Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom, Duangdao Palasuwan, Thanarat H. Chalidabhongse, Nantheera Anantrasirichai
http://arxiv.org/abs/2107.00968v1
• [cs.CV]Sub-millisecond Video Synchronization of Multiple Android Smartphones
Azat Akhmetyanov, Anastasiia Kornilova, Marsel Faizullin, David Pozo, Gonzalo Ferrer
http://arxiv.org/abs/2107.00987v1
• [cs.CV]Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
http://arxiv.org/abs/2107.00977v1
• [cs.CV]Unsupervised Single Image Super-resolution Under Complex Noise
Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng
http://arxiv.org/abs/2107.00986v1
• [cs.CV]Visual Relationship Forecasting in Videos
Li Mi, Yangjun Ou, Zhenzhong Chen
http://arxiv.org/abs/2107.01181v1
• [cs.CY]Case study of Innovative Teaching Practices and their Impact for Electrical Engineering Courses during COVID-19 Pandemic
Amith Khandakar, Muhammad E. H. Chowdhury, Md. Saifuddin Khalid, Nizar Zorba
http://arxiv.org/abs/2107.00746v1
• [cs.CY]Instagrammable Data: Using Visuals to Showcase More Than Numbers on AJ Labs Instagram Page
Mathias-Felipe de-Lima-Santos, Arwa Kooli
http://arxiv.org/abs/2107.00938v1
• [cs.CY]User Role Discovery and Optimization Method based on K-means + Reinforcement learning in Mobile Applications
Yuanbang Li
http://arxiv.org/abs/2107.00862v1
• [cs.DC]4C: A Computation, Communication, and Control Co-Design Framework for CAVs
Liangkai Liu, Shaoshan Liu, Weisong Shi
http://arxiv.org/abs/2107.01142v1
• [cs.DC]A Micro-Service based Approach for Constructing Distributed Storage System
Yuhao Lu, Zhenqing Liu, Dejun Jiang, Liuying Ma, Jin Xiong
http://arxiv.org/abs/2107.01119v1
• [cs.DC]Scrooge Attack: Undervolting ARM Processors for Profit
Christian Göttel, Konstantinos Parasyris, Osman Unsal, Pascal Felber, Marcelo Pasin, Valerio Schiavoni
http://arxiv.org/abs/2107.00416v2
• [cs.DL]Web Archive Analytics
Michael Völske, Janek Bevendorff, Johannes Kiesel, Benno Stein, Maik Fröbe, Matthias Hagen, Martin Potthast
http://arxiv.org/abs/2107.00893v1
• [cs.DS]Near-optimal Algorithms for Explainable k-Medians and k-Means
Konstantin Makarychev, Liren Shan
http://arxiv.org/abs/2107.00798v1
• [cs.DS]On the Bike Spreading Problem
Elia Costa, Francesco Silvestri
http://arxiv.org/abs/2107.00761v1
• [cs.DS]Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm
Nathan Noiry, Flore Sentenac, Vianney Perchet
http://arxiv.org/abs/2107.00995v1
• [cs.IR]Exploiting Cross-Session Information for Session-based Recommendation with Graph Neural Networks
Qiu Ruihong, Huang Zi, Li Jingjing, Yin Hongzhi
http://arxiv.org/abs/2107.00852v1
• [cs.IR]Exploiting Positional Information for Session-based Recommendation
Qiu Ruihong, Huang Zi, Chen Tong, Yin Hongzhi
http://arxiv.org/abs/2107.00846v1
• [cs.IR]On-Demand and Lightweight Knowledge Graph Generation — a Demonstration with DBpedia
Malte Brockmeier, Yawen Liu, Sunita Pateer, Sven Hertling, Heiko Paulheim
http://arxiv.org/abs/2107.00873v1
• [cs.IR]Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
Mihaela Curmei, Sarah Dean, Benjamin Recht
http://arxiv.org/abs/2107.00833v1
• [cs.IT]A Novel Low Complexity Faster-than-Nyquist (FTN) Signaling Detector for Ultra High-Order QAM
Ahmed Ibrahim, Ebrahim Bedeer, Halim Yanikomeroglu
http://arxiv.org/abs/2107.00805v1
• [cs.IT]Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users
Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov, Hao Lu, Dmitrii Minenkov, Sergey Troshin, Daniil Yudakov, Danila Zaev
http://arxiv.org/abs/2107.00853v1
• [cs.IT]Design and Implementation of MIMO Transmission Based on Dual-Polarized Reconfigurable Intelligent Surface
Xiangyu Chen, Jun Chen Ke, Wankai Tang, Ming Zheng Chen, Jun Yan Dai, Ertugrul Basar, Shi Jin, Qiang Cheng, Tie Jun Cui
http://arxiv.org/abs/2107.01041v1
• [cs.IT]Measuring Information Leakage in Non-stochastic Brute-Force Guessing
Ni Ding, Farhad Farokhi
http://arxiv.org/abs/2107.01113v1
• [cs.IT]Moments of Subsets of General Equiangular Tight Frames
Marina Haikin, Ram Zamir
http://arxiv.org/abs/2107.00888v1
• [cs.IT]PIR codes from combinatorial structures
Massimo Giulietti, Arianna Sabatini, Marco Timpanella
http://arxiv.org/abs/2107.01169v1
• [cs.IT]Ruin Theory for User Association and Energy Optimization in Multi-access Edge Computing
Do Hyeon Kim, Aunas Manzoor, Madyan Alsenwi, Yan Kyaw TUn, Walid Saad, Choong Seon Hong
http://arxiv.org/abs/2107.00901v1
• [cs.LG]A Systems Theory of Transfer Learning
Tyler Cody, Peter A. Beling
http://arxiv.org/abs/2107.01196v1
• [cs.LG]Almost Tight Approximation Algorithms for Explainable Clustering
Hossein Esfandiari, Vahab Mirrokni, Shyam Narayanan
http://arxiv.org/abs/2107.00774v1
• [cs.LG]Analytic Insights into Structure and Rank of Neural Network Hessian Maps
Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
http://arxiv.org/abs/2106.16225v
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2
8c7
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• [cs.LG]Backward-Compatible Prediction Updates: A Probabilistic Approach
Frederik Träuble, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Peter Gehler
http://arxiv.org/abs/2107.01057v1
• [cs.LG]CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning
Liping Wang, Saideep Tiku, Sudeep Pasricha
http://arxiv.org/abs/2107.01192v1
• [cs.LG]Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber
http://arxiv.org/abs/2107.01188v1
• [cs.LG]Decision tree heuristics can fail, even in the smoothed setting
Guy Blanc, Jane Lange, Mingda Qiao, Li-Yang Tan
http://arxiv.org/abs/2107.00819v1
• [cs.LG]Deep learning-based statistical noise reduction for multidimensional spectral data
Younsik Kim, Dongjin Oh, Soonsang Huh, Dongjoon Song, Sunbeom Jeong, Junyoung Kwon, Minsoo Kim, Donghan Kim, Hanyoung Ryu, Jongkeun Jung, Wonshik Kyung, Byungmin Sohn, Suyoung Lee, Jounghoon Hyun, Yeonghoon Lee, Yeongkwan Kimand Changyoung Kim
http://arxiv.org/abs/2107.00844v1
• [cs.LG]DeformRS: Certifying Input Deformations with Randomized Smoothing
Motasem Alfarra, Adel Bibi, Naeemullah Khan, Philip H. S. Torr, Bernard Ghanem
http://arxiv.org/abs/2107.00996v1
• [cs.LG]Empirically Measuring Transfer Distance for System Design and Operation
Tyler Cody, Stephen Adams, Peter A. Beling
http://arxiv.org/abs/2107.01184v1
• [cs.LG]Few-shot Learning for Unsupervised Feature Selection
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
http://arxiv.org/abs/2107.00816v1
• [cs.LG]From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang
http://arxiv.org/abs/2107.00948v1
• [cs.LG]Gap-Dependent Bounds for Two-Player Markov Games
Zehao Dou, Zhuoran Yang, Zhaoran Wang, Simon S. Du
http://arxiv.org/abs/2107.00685v1
• [cs.LG]Gradient-Leakage Resilient Federated Learning
Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar
http://arxiv.org/abs/2107.01154v1
• [cs.LG]Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks
Suryanarayana Maddu, Dominik Sturm, Christian L. Müller, Ivo F. Sbalzarini
http://arxiv.org/abs/2107.00940v1
• [cs.LG]Misinformation Detection on YouTube Using Video Captions
Raj Jagtap, Abhinav Kumar, Rahul Goel, Shakshi Sharma, Rajesh Sharma, Clint P. George
http://arxiv.org/abs/2107.00941v1
• [cs.LG]Mitigating deep double descent by concatenating inputs
John Chen, Qihan Wang, Anastasios Kyrillidis
http://arxiv.org/abs/2107.00797v1
• [cs.LG]Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang, Ming Yang, Lijun Zhang, Tianbao Yang
http://arxiv.org/abs/2107.01173v1
• [cs.LG]Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
Alberto Badias, Ashis Banerjee
http://arxiv.org/abs/2107.01081v1
• [cs.LG]On Bridging Generic and Personalized Federated Learning
Hong-You Chen, Wei-Lun Chao
http://arxiv.org/abs/2107.00778v1
• [cs.LG]Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation
Lingbo Liu, Yuying Zhu, Guanbin Li, Ziyi Wu, Lei Bai, Mingzhi Mao, Liang Lin
http://arxiv.org/abs/2107.00946v1
• [cs.LG]RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing
Nazmul Karim, Alireza Zaeemzadeh, Nazanin Rahnavard
http://arxiv.org/abs/2107.00838v1
• [cs.LG]Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
http://arxiv.org/abs/2107.00860v1
• [cs.LG]Reconsidering Dependency Networks from an Information Geometry Perspective
Kazuya Takabatake, Shotaro Akaho
http://arxiv.org/abs/2107.00871v1
• [cs.LG]ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
http://arxiv.org/abs/2107.00961v1
• [cs.LG]Road Roughness Estimation Using Machine Learning
Milena Bajic, Shahrzad M. Pour, Asmus Skar, Matteo Pettinari, Eyal Levenberg, Tommy Sonne Alstrøm
http://arxiv.org/abs/2107.01199v1
• [cs.LG]Shared Data and Algorithms for Deep Learning in Fundamental Physics
Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou
http://arxiv.org/abs/2107.00656v1
• [cs.LG]SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
Grgur Kovač, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer
http://arxiv.org/abs/2107.00956v1
• [cs.LG]The Causal Neural Connection: Expressiveness, Learnability, and Inference
Kevin Xia, Kai-Zhan Lee, Yoshua Bengio, Elias Bareinboim
http://arxiv.org/abs/2107.00793v1
• [cs.LG]The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models
Greg d’Eon, Jason d’Eon, James R. Wright, Kevin Leyton-Brown
http://arxiv.org/abs/2107.00758v1
• [cs.LG]Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions
Tong Mao, Zhongjie Shi, Ding-Xuan Zhou
http://arxiv.org/abs/2107.00896v1
• [cs.LG]q-Paths: Generalizing the Geometric Annealing Path using Power Means
Vaden Masrani, Rob Brekelmans, Thang Bui, Frank Nielsen, Aram Galstyan, Greg Ver Steeg, Frank Wood
http://arxiv.org/abs/2107.00745v1
• [cs.NI]AÇAI: Ascent Similarity Caching with Approximate Indexes
Tareq Si Salem, Giovanni Neglia, Damiano Carra
http://arxiv.org/abs/2107.00957v1
• [cs.RO]A Levy Flight based Narrow Passage Sampling Method for Probabilistic Roadmap Planners
Shubham Shukla, Lokesh Kumar, Titas Bera, Ranjan Dasgupta
http://arxiv.org/abs/2107.00817v1
• [cs.RO]Autonomous Navigation for Quadrupedal Robots with Optimized Jumping through Constrained Obstacles
Scott Gilroy, Derek Lau, Lizhi Yang, Ed Izaguirre, Kristen Biermayer, Anxing Xiao, Mengti Sun, Ayush Agrawal, Jun Zeng, Zhongyu Li, Koushil Sreenath
http://arxiv.org/abs/2107.00773v1
• [cs.RO]Brain over Brawn — Using a Stereo Camera to Detect, Track and Intercept a Faster UAV by Reconstructing Its Trajectory
Antonella Barišić, Frano Petric, Stjepan Bogdan
http://arxiv.org/abs/2107.00962v1
• [cs.RO]Case Relation Transformer: A Crossmodal Language Generation Model for Fetching Instructions
Motonari Kambara, Komei Sugiura
http://arxiv.org/abs/2107.00789v1
• [cs.RO]Cooperative Autonomous Vehicles that Sympathize with Human Drivers
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
http://arxiv.org/abs/2107.00898v1
• [cs.RO]Decision-Making Technology for Autonomous Vehicles Learning-Based Methods, Applications and Future Outlook
Qi Liu, Xueyuan Li, Shihua Yuan, Zirui Li
http://arxiv.org/abs/2107.01110v1
• [cs.RO]F-LOAM: Fast LiDAR Odometry And Mapping
Han Wang, Chen Wang, Chun-Lin Chen, Lihua Xie
http://arxiv.org/abs/2107.00822v1
• [cs.RO]Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking
Nathaniel Glaser, Yen-Cheng Liu, Junjiao Tian, Zsolt Kira
http://arxiv.org/abs/2107.00771v1
• [cs.RO]POMP++: Pomcp-based Active Visual Search in unknown indoor environments
Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang
http://arxiv.org/abs/2107.00914v1
• [cs.RO]RMQFMU: Bridging the Real World with Co-simulation Technical Report
Mirgita Frasheri, Henrik Ejersbo, Casper Thule, Lukas Esterle
http://arxiv.org/abs/2107.01010v1
• [cs.RO]ReQuBiS — Reconfigurable Quadrupedal-Bipedal Snake Robots
Harshad Zade, Aadesh Varude, Karan Pandya, Ajinkya Kamat, Shital Chiddarwar, Rohan Thakker
http://arxiv.org/abs/2107.01197v1
• [cs.RO]Target-dependent UNITER: A Transformer-Based Multimodal Language Comprehension Model for Domestic Service Robots
Shintaro Ishikawa, Komei Sugiura
http://arxiv.org/abs/2107.00811v1
• [cs.SD]Supervised Contrastive Learning for Accented Speech Recognition
Tao Han, Hantao Huang, Ziang Yang, Wei Han
http://arxiv.org/abs/2107.00921v1
• [cs.SD]Vox Populi, Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription
Nikita Pavlichenko, Ivan Stelmakh, Dmitry Ustalov
http://arxiv.org/abs/2107.01091v1
• [cs.SE]An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors
Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Ani Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis
http://arxiv.org/abs/2107.00821v1
• [cs.SE]Multimodal Representation for Neural Code Search
Jian Gu, Zimin Chen, Martin Monperrus
http://arxiv.org/abs/2107.00992v1
• [cs.SI]A Weighted and Normalized Gould-Fernandez Brokerage Measure
Zsófia Zádor, Zhen Zhu, Matthew Smith, Sara Gorgoni
http://arxiv.org/abs/2107.01117v1
• [econ.EM]Partial Identification and Inference in Duration Models with Endogenous Censoring
Shosei Sakaguchi
http://arxiv.org/abs/2107.00928v1
• [eess.AS]Multi-user VoiceFilter-Lite via Attentive Speaker Embedding
Rajeev Rikhye, Quan Wang, Qiao Liang, Yanzhang He, Ian McGraw
http://arxiv.org/abs/2107.01201v1
• [eess.IV]LensID: A CNN-RNN-Based Framework Towards Lens Irregularity Detection in Cataract Surgery Videos
Negin Ghamsarian, Mario Taschwer, Doris Putzgruber-Adamitsch, Stephanie Sarny, Yosuf El-Shabrawi, Klaus Schoeffmann
http://arxiv.org/abs/2107.00875v1
• [eess.IV]On Measuring and Controlling the Spectral Bias of the Deep Image Prior
Zenglin Shi, Pascal Mettes, Subhransu Maji, Cees G. M. Snoek
http://arxiv.org/abs/2107.01125v1
• [math.NA]Cell-average based neural network method for hyperbolic and parabolic partial differential equations
Changxin Qiu, Jue Yan
http://arxiv.org/abs/2107.00813v1
• [math.OC]Exploration noise for learning linear-quadratic mean field games
François Delarue, Athanasios Vasileiadis
http://arxiv.org/abs/2107.00839v1
• [math.OC]Screening for a Reweighted Penalized Conditional Gradient Method
Yifan Sun, Francis Bach
http://arxiv.org/abs/2107.01106v1
• [math.ST]Asymptotic Analysis of Statistical Estimators related to MultiGraphex Processes under Misspecification
Zacharie Naulet, Judith Rousseau, François Caron
http://arxiv.org/abs/2107.01120v1
• [math.ST]Demystifying statistical learning based on efficient influence functions
Oliver Hines, Oliver Dukes, Karla Diaz-Ordaz, Stijn Vansteelandt
http://arxiv.org/abs/2107.00681v1
• [physics.flu-dyn]An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence
Cristian C. Lalescu, Bérenger Bramas, Markus Rampp, Michael Wilczek
http://arxiv.org/abs/2107.01104v1
• [q-bio.BM]Structural biology in the clouds: The WeNMR-EOSC Ecosystem
Rodrigo Vargas Honorato, Panagiotis I. Koukos, Brian Jiménez-García, Andrei Tsaregorodtsev, Marco Verlato, Andrea Giachetti, Antonio Rosato, Alexandre M. J. J. Bonvin
http://arxiv.org/abs/2107.01056v1
• [q-bio.BM]Toward Robust Drug-Target Interaction Prediction via Ensemble Modeling and Transfer Learning
Po-Yu Kao, Shu-Min Kao, Nan-Lan Huang, Yen-Chu Lin
http://arxiv.org/abs/2107.00719v1
• [quant-ph]Conflict-free collective stochastic decision making by orbital angular momentum entangled photons
Takashi Amakasu, Nicolas Chauvet, Guillaume Bachelier, Serge Huant, Ryoichi Horisaki, Makoto Naruse
http://arxiv.org/abs/2107.00877v1
• [stat.ME]A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data
Licheng Liu, Ye Wang, Yiqing Xu
http://arxiv.org/abs/2107.00856v1
• [stat.ME]A Robust Seemingly Unrelated Regressions For Row-Wise And Cell-Wise Contamination
Giovanni Saraceno, Fatemah Alqallaf, Claudio Agostinelli
http://arxiv.org/abs/2107.00975v1
• [stat.ME]Depth-based Outlier Detection for Grouped Smart Meters: a Functional Data Analysis Toolbox
A. Elías, J. M. Morales, S. Pineda
http://arxiv.org/abs/2107.01144v1
• [stat.ME]Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions
Subhabrata Majumdar, Snigdhansu Chatterjee
http://arxiv.org/abs/2107.01103v1
• [stat.ME]Homogeneity in the instrument-treatment association is not sufficient for the Wald estimand to equal the average causal effect when the exposure is continuous
Fernando Pires Hartwig, Linbo Wang, George Davey Smith, Neil Martin Davies
http://arxiv.org/abs/2107.01070v1
• [stat.ME]Nonnegative Matrix Factorization with Group and Basis Restrictions
Phillip Shreeves, Jeffrey L. Andrews, Xinchen Deng, Ramie Ali-Adeeb, Andrew Jirasek
http://arxiv.org/abs/2107.00744v1
• [stat.ME]Testing Randomization and Relaxed Randomization Assumptions: A Clustering With Side-information Approach
Kan Chen, Siyu Heng, Qi Long, Bo Zhang
http://arxiv.org/abs/2107.00815v1
• [stat.ME]Time series models with infinite-order partial copula dependence
Martin Bladt, Alexander J. McNeil
http://arxiv.org/abs/2107.00960v1
• [stat.ME]Two edge-count tests and relevance analysis in k high-dimensional samples
Xiaoping Shi
http://arxiv.org/abs/2107.00728v1
• [stat.ML]Memory Efficient Meta-Learning with Large Images
John Bronskill, Daniela Massiceti, Massimiliano Patacchiola, Katja Hofmann, Sebastian Nowozin, Richard E. Turner
http://arxiv.org/abs/2107.01105v1
• [stat.ML]Meta-Learning for Relative Density-Ratio Estimation
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
http://arxiv.org/abs/2107.00801v1
• [stat.ML]Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
Junya Chen, Zhe Gan, Xuan Li, Qing Guo, Liqun Chen, Shuyang Gao, Tagyoung Chung, Yi Xu, Belinda Zeng, Wenlian Lu, Fan Li, Lawrence Carin, Chenyang Tao
http://arxiv.org/abs/2107.01152v1
• [stat.ML]Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Rezende, Yoshua Bengio, Michael Mozer, Christopher Pal
http://arxiv.org/abs/2107.00848v1
• [stat.ML]Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Lawrence Carin, Fan Li, Chenyang Tao
http://arxiv.org/abs/2107.01131v1