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.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.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.LO - 计算逻辑
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.TH - 理论经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.DS - 动力系统
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.app-ph - 应用物理
physics.comp-ph - 计算物理学
q-bio.PE - 人口与发展
quant-ph - 量子物理
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer
• [cs.AI]Centralized Model and Exploration Policy for Multi-Agent RL
• [cs.AI]Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
• [cs.AI]Fast and Slow Enigmas and Parental Guidance
• [cs.AI]Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning
• [cs.AI]Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)
• [cs.AI]Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
• [cs.AI]TEACHING — Trustworthy autonomous cyber-physical applications through human-centred intelligence
• [cs.AI]The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity
• [cs.CL]”How to best say it?” : Translating Directives in Machine Language into Natural Language in the Blocks World
• [cs.CL]BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews
• [cs.CL]Can Evolutionary Computation Help us to Crib the Voynich Manuscript ?
• [cs.CL]Composing Conversational Negation
• [cs.CL]Deduplicating Training Data Makes Language Models Better
• [cs.CL]From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
• [cs.CL]Identifying Hijacked Reviews
• [cs.CL]Importance-based Neuron Allocation for Multilingual Neural Machine Translation
• [cs.CL]Indonesia’s Fake News Detection using Transformer Network
• [cs.CL]Large-Scale News Classification using BERT Language Model: Spark NLP Approach
• [cs.CL]Learning Algebraic Recombination for Compositional Generalization
• [cs.CL]MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
• [cs.CL]ParCourE: A Parallel Corpus Explorer fora Massively Multilingual Corpus
• [cs.CL]Rating Facts under Coarse-to-fine Regimes
• [cs.CL]TSCAN : Dialog Structure discovery using SCAN
• [cs.CL]Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
• [cs.CL]What do writing features tell us about AI papers?
• [cs.CL]ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
• [cs.CR]A Distance Measure for Privacy-preserving Process Mining based on Feature Learning
• [cs.CV]A Convolutional Neural Network Approach to the Classification of Engineering Models
• [cs.CV]AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
• [cs.CV]Artificial Intelligence in PET: an Industry Perspective
• [cs.CV]BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint)
• [cs.CV]BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
• [cs.CV]DVMN: Dense Validity Mask Network for Depth Completion
• [cs.CV]Deep Learning based Novel View Synthesis
• [cs.CV]Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
• [cs.CV]Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
• [cs.CV]Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
• [cs.CV]Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing
• [cs.CV]Dynamic Event Camera Calibration
• [cs.CV]Faces in the Wild: Efficient Gender Recognition in Surveillance Conditions
• [cs.CV]Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
• [cs.CV]Force-in-domain GAN inversion
• [cs.CV]GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images
• [cs.CV]Graph Jigsaw Learning for Cartoon Face Recognition
• [cs.CV]Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
• [cs.CV]HAT: Hierarchical Aggregation Transformers for Person Re-identification
• [cs.CV]HDMapNet: An Online HD Map Construction and Evaluation Framework
• [cs.CV]How Much Can CLIP Benefit Vision-and-Language Tasks?
• [cs.CV]MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
• [cs.CV]MSFNet:Multi-scale features network for monocular depth estimation
• [cs.CV]Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
• [cs.CV]PDC: Piecewise Depth Completion utilizing Superpixels
• [cs.CV]Real-Time Pothole Detection Using Deep Learning
• [cs.CV]Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
• [cs.CV]Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
• [cs.CV]Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
• [cs.CV]SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
• [cs.CV]Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
• [cs.CV]Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
• [cs.CV]Unsupervised Neural Rendering for Image Hazing
• [cs.DC]A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU
• [cs.DC]Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
• [cs.DC]Consistent RDMA-Friendly Hashing on Remote Persistent Memory
• [cs.DC]Governing Decentralized Complex Queries Through a DAO
• [cs.DC]Model-Parallel Model Selection for Deep Learning Systems
• [cs.DC]Simulation of Dissemination Strategies on Temporal Networks
• [cs.DL]Adaptability and the Pivot Penalty in Science
• [cs.DL]Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals
• [cs.DS]Efficient Set of Vectors Search
• [cs.DS]Oblivious sketching for logistic regression
• [cs.DS]Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures
• [cs.GT]An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions
• [cs.GT]Contextual Games: Multi-Agent Learning with Side Information
• [cs.HC]WAccess — A Web Accessibility Tool based on the latest WCAG 2.2 guidelines
• [cs.IR]COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
• [cs.IR]Contrastive Learning for Cold-Start Recommendation
• [cs.IR]Learning to Recommend Items to Wikidata Editors
• [cs.IR]Linking Health News to Research Literature
• [cs.IR]Multi-Step Critiquing User Interface for Recommender Systems
• [cs.IR]Sequential Recommendation for Cold-start Users with Meta Transitional Learning
• [cs.IT]A class of APcN power functions over finite fields of even characteristic
• [cs.IT]Age of Information in Physical-Layer Network Coding Enabled Two-Way Relay Networks
• [cs.IT]Complexity and Second Moment of the Mathematical Theory of Communication
• [cs.IT]Mismatched Binary Hypothesis Testing: Error Exponent Sensitivity
• [cs.IT]Optimal Power Allocation in Downlink NOMA
• [cs.IT]Practical implementation of identification codes
• [cs.IT]RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements Are Required to Achieve a Detection Probability Close to 1?
• [cs.IT]Stochastic Geometry based Interference Analysis of Multiuser mmWave Networks with RIS
• [cs.IT]Tailored Shaping, Improved Detection, Simpler Backpropagation: the Road to Nonlinearity Mitigation
• [cs.IT]Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage
• [cs.LG]A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors
• [cs.LG]AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
• [cs.LG]ATTACC the Quadratic Bottleneck of Attention Layers
• [cs.LG]CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction
• [cs.LG]Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
• [cs.LG]Conservative Objective Models for Effective Offline Model-Based Optimization
• [cs.LG]Continuous vs. Discrete Optimization of Deep Neural Networks
• [cs.LG]DIT4BEARs Smart Roads Internship
• [cs.LG]Deep Adaptive Multi-Intention Inverse Reinforcement Learning
• [cs.LG]Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
• [cs.LG]Differential-Critic GAN: Generating What You Want by a Cue of Preferences
• [cs.LG]Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
• [cs.LG]Disparity Between Batches as a Signal for Early Stopping
• [cs.LG]Efficient Learning of Pinball TWSVM using Privileged Information and its applications
• [cs.LG]Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
• [cs.LG]Fairness in Ranking under Uncertainty
• [cs.LG]Federated Mixture of Experts
• [cs.LG]Federated Self-Training for Semi-Supervised Audio Recognition
• [cs.LG]Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
• [cs.LG]Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize
• [cs.LG]Going Beyond Linear RL: Sample Efficient Neural Function Approximation
• [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
• [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
• [cs.LG]IFedAvg: Interpretable Data-Interoperability for Federated Learning
• [cs.LG]Inverse Contextual Bandits: Learning How Behavior Evolves over Time
• [cs.LG]Learnability of Learning Performance and Its Application to Data Valuation
• [cs.LG]Learning interaction rules from multi-animal trajectories via augmented behavioral models
• [cs.LG]MESS: Manifold Embedding Motivated Super Sampling
• [cs.LG]On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
• [cs.LG]Online Evaluation Methods for the Causal Effect of Recommendations
• [cs.LG]Safer Reinforcement Learning through Transferable Instinct Networks
• [cs.LG]Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
• [cs.LG]Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
• [cs.LG]The Foes of Neural Network’s Data Efficiency Among Unnecessary Input Dimensions
• [cs.LG]Thinkback: Task-SpecificOut-of-Distribution Detection
• [cs.LG]Tourbillon: a Physically Plausible Neural Architecture
• [cs.LG]Zero-Round Active Learning
• [cs.LO]Improved SAT models for NFA learning
• [cs.MM]High-Speed and High-Quality Text-to-Lip Generation
• [cs.MM]RCLC: ROI-based joint conventional and learning video compression
• [cs.MM]Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
• [cs.NE]Hierarchical Associative Memory
• [cs.NE]Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem
• [cs.NI]QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
• [cs.RO]AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving
• [cs.RO]DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI
• [cs.RO]Distributionally Robust Policy Learning via Adversarial Environment Generation
• [cs.RO]Efficient and Reactive Planning for High Speed Robot Air Hockey
• [cs.RO]FAST-LIO2: Fast Direct LiDAR-inertial Odometry
• [cs.RO]Model-free Reinforcement Learning for Robust Locomotion Using Trajectory Optimization for Exploration
• [cs.RO]Probabilistic Human Motion Prediction via A Bayesian Neural Network
• [cs.RO]Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments
• [cs.RO]Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance
• [cs.SD]Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding
• [cs.SE]DeepMutants: Training neural bug detectors with contextual mutations
• [cs.SE]MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence
• [cs.SI]Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
• [cs.SI]Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
• [cs.SI]Information Spread with Error Correction
• [econ.TH]A Smoothed Impossibility Theorem on Condorcet Criterion and Participation
• [eess.IV]Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation
• [eess.IV]Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
• [eess.IV]Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
• [eess.IV]Meta-Optimization of Deep CNN for Image Denoising Using LSTM
• [eess.IV]Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
• [eess.SP]Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
• [eess.SY]A Particle Filter Approach to Power System Line Outage Detection Using Load and Generator Bus Dynamics
• [math.DS]A Framework for Machine Learning of Model Error in Dynamical Systems
• [math.OC]A Granular Sieving Algorithm for Deterministic Global Optimization
• [math.OC]Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
• [math.PR]Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering
• [math.PR]Spectral Recovery of Binary Censored Block Models
• [math.ST]Convergence rates of vector-valued local polynomial regression
• [math.ST]Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
• [math.ST]Extended L-ensembles: a new representation for Determinantal Point Processes
• [math.ST]New Developments on the Non-Central Chi-Squared and Beta Distributions
• [physics.app-ph]Resonant Tunnelling Diode Nano-Optoelectronic Spiking Nodes For Neuromorphic Information Processing
• [physics.comp-ph]3D Acoustic-Elastic Coupling with Gravity: The Dynamics of the 2018 Palu, Sulawesi Earthquake and Tsunami
• [q-bio.PE]Total Effect Analysis of Vaccination on Household Transmission in the Office for National Statistics COVID-19 Infection Survey
• [quant-ph]A Theoretical Framework for Learning from Quantum Data
• [stat.ME]Bayesian Lifetime Regression with Multi-type Group-shared Latent Heterogeneity
• [stat.ME]Bayesian Semiparametric Multivariate Density Deconvolution via Stochastic Rotation of Replicates
• [stat.ME]Comparison of Canonical Correlation and Partial Least Squares analyses of simulated and empirical data
• [stat.ME]For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
• [stat.ME]Graphical Laplace-approximated maximum likelihood estimation: approximated likelihood inference for network data analysis
• [stat.ME]Method of Moments Confidence Intervals for a Semi-Supervised Two-Component Mixture Model
• [stat.ME]On Estimating Optimal Regime for Treatment Initiation Time Based on Restricted Mean Residual Lifetime
• [stat.ME]Planning a method for covariate adjustment in individually-randomised trials: a practical guide
• [stat.ME]Survey data integration for regression analysis using model calibration
• [stat.ME]Time Series Estimation of the Dynamic Effects of Disaster-Type Shock
• [stat.ML]M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond
• [stat.ML]Spectrum Gaussian Processes Based On Tunable Basis Functions
·····································
• [cs.AI]A Note on Learning Rare Events in Molecular Dynamics using LSTM and Transformer
Wenqi Zeng, Siqin Cao, Xuhui Huang, Yuan Yao
http://arxiv.org/abs/2107.06573v1
• [cs.AI]Centralized Model and Exploration Policy for Multi-Agent RL
Qizhen Zhang, Chris Lu, Animesh Garg, Jakob Foerster
http://arxiv.org/abs/2107.06434v1
• [cs.AI]Efficient exact computation of the conjunctive and disjunctive decompositions of D-S Theory for information fusion: Translation and extension
Maxime Chaveroche, Franck Davoine, Véronique Cherfaoui
http://arxiv.org/abs/2107.06329v1
• [cs.AI]Fast and Slow Enigmas and Parental Guidance
Zarathustra Goertzel, Karel Chvalovský, Jan Jakubův, Miroslav Olšák, Josef Urban
http://arxiv.org/abs/2107.06750v1
• [cs.AI]Mixing Human Demonstrations with Self-Exploration in Experience Replay for Deep Reinforcement Learning
Dylan Klein, Akansel Cosgun
http://arxiv.org/abs/2107.06840v1
• [cs.AI]Monotonicity and Noise-Tolerance in Case-Based Reasoning with Abstract Argumentation (with Appendix)
Guilherme Paulino-Passos, Francesca Toni
http://arxiv.org/abs/2107.06413v1
• [cs.AI]Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Ingmar Schubert, Ozgur S. Oguz, Marc Toussaint
http://arxiv.org/abs/2107.06661v1
• [cs.AI]TEACHING — Trustworthy autonomous cyber-physical applications through human-centred intelligence
Davide Bacciu, Siranush Akarmazyan, Eric Armengaud, Manlio Bacco, George Bravos, Calogero Calandra, Emanuele Carlini, Antonio Carta, Pietro Cassara, Massimo Coppola, Charalampos Davalas, Patrizio Dazzi, Maria Carmela Degennaro, Daniele Di Sarli, Jürgen Dobaj, Claudio Gallicchio, Sylvain Girbal, Alberto Gotta, Riccardo Groppo, Vincenzo Lomonaco, Georg Macher, Daniele Mazzei, Gabriele Mencagli, Dimitrios Michail, Alessio Micheli, Roberta Peroglio, Salvatore Petroni, Rosaria Potenza, Farank Pourdanesh, Christos Sardianos, Konstantinos Tserpes, Fulvio Tagliabò, Jakob Valtl, Iraklis Varlamis, Omar Veledar
http://arxiv.org/abs/2107.06543v1
• [cs.AI]The I-ADOPT Interoperability Framework for FAIRer data descriptions of biodiversity
Barbara Magagna, Ilaria Rosati, Maria Stoica, Sirko Schindler, Gwenaelle Moncoiffe, Anusuriya Devaraju, Johannes Peterseil, Robert Huber
http://arxiv.org/abs/2107.06547v1
• [cs.CL]“How to best say it?” : Translating Directives in Machine Language into Natural Language in the Blocks World
Sujeong Kim, Amir Tamrakar
http://arxiv.org/abs/2107.06886v1
• [cs.CL]BERT Fine-Tuning for Sentiment Analysis on Indonesian Mobile Apps Reviews
Kuncahyo Setyo Nugroho, Anantha Yullian Sukmadewa, Haftittah Wuswilahaken DW, Fitra Abdurrachman Bachtiar, Novanto Yudistira
http://arxiv.org/abs/2107.06802v1
• [cs.CL]Can Evolutionary Computation Help us to Crib the Voynich Manuscript ?
Daniel Devatman Hromada
http://arxiv.org/abs/2107.05381v1
• [cs.CL]Composing Conversational Negation
Razin A. Shaikh, Lia Yeh, Benjamin Rodatz, Bob Coecke
http://arxiv.org/abs/2107.06820v1
• [cs.CL]Deduplicating Training Data Makes Language Models Better
Katherine Lee, Daphne Ippolito, Andrew Nystrom, Chiyuan Zhang, Douglas Eck, Chris Callison-Burch, Nicholas Carlini
http://arxiv.org/abs/2107.06499v1
• [cs.CL]From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
Ishan Tarunesh, Syamantak Kumar, Preethi Jyothi
http://arxiv.org/abs/2107.06483v1
• [cs.CL]Identifying Hijacked Reviews
Monika Daryani, James Caverlee
http://arxiv.org/abs/2107.05385v1
• [cs.CL]Importance-based Neuron Allocation for Multilingual Neural Machine Translation
Wanying Xie, Yang Feng, Shuhao Gu, Dong Yu
http://arxiv.org/abs/2107.06569v1
• [cs.CL]Indonesia’s Fake News Detection using Transformer Network
Aisyah Awalina, Jibran Fawaid, Rifky Yunus Krisnabayu, Novanto Yudistira
http://arxiv.org/abs/2107.06796v1
• [cs.CL]Large-Scale News Classification using BERT Language Model: Spark NLP Approach
Kuncahyo Setyo Nugroho, Kuncahyo Setyo Nugroho, Novanto Yudistira
http://arxiv.org/abs/2107.06785v1
• [cs.CL]Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
http://arxiv.org/abs/2107.06516v1
• [cs.CL]MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
Jingwen Hu, Yuchen Liu, Jinming Zhao, Qin Jin
http://arxiv.org/abs/2107.06779v1
• [cs.CL]ParCourE: A Parallel Corpus Explorer fora Massively Multilingual Corpus
Ayyoob Imani, Masoud Jalili Sabet, Philipp Dufter, Michael Cysouw, Hinrich Schütze
http://arxiv.org/abs/2107.06632v1
• [cs.CL]Rating Facts under Coarse-to-fine Regimes
Guojun Wu
http://arxiv.org/abs/2107.06051v2
• [cs.CL]TSCAN : Dialog Structure discovery using SCAN
Apurba Nath, Aayush Kubba
http://arxiv.org/abs/2107.06426v1
• [cs.CL]Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection
Sergio Rojas-Galeano
http://arxiv.org/abs/2107.06400v1
• [cs.CL]What do writing features tell us about AI papers?
Zining Zhu, Bai Li, Yang Xu, Frank Rudzicz
http://arxiv.org/abs/2107.06310v1
• [cs.CL]ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
Afra Alishahia, Grzegorz Chrupała, Alejandrina Cristia, Emmanuel Dupoux, Bertrand Higy, Marvin Lavechin, Okko Räsänen, Chen Yu
http://arxiv.org/abs/2107.06546v1
• [cs.CR]A Distance Measure for Privacy-preserving Process Mining based on Feature Learning
Fabian Rösel, Stephan A. Fahrenkrog-Petersen, Han van der Aa, Matthias Weidlich
http://arxiv.org/abs/2107.06578v1
• [cs.CV]A Convolutional Neural Network Approach to the Classification of Engineering Models
Bharadwaj Manda, Pranjal Bhaskare, Ramanathan Muthuganapathy
http://arxiv.org/abs/2107.06481v1
• [cs.CV]AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning
Yihao Huang, Qing Guo, Felix Juefei-Xu, Lei Ma, Weikai Miao, Yang Liu, Geguang Pu
http://arxiv.org/abs/2107.06501v1
• [cs.CV]Artificial Intelligence in PET: an Industry Perspective
Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans
http://arxiv.org/abs/2107.06747v1
• [cs.CV]BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint)
Tuomo Lahtinen, Hannu Turtiainen, Andrei Costin
http://arxiv.org/abs/2107.06351v1
• [cs.CV]BiSTF: Bilateral-Branch Self-Training Framework for Semi-Supervised Large-scale Fine-Grained Recognition
Hao Chang, Guochen Xie, Jun Yu, Qiang Ling
http://arxiv.org/abs/2107.06768v1
• [cs.CV]DVMN: Dense Validity Mask Network for Depth Completion
Laurenz Reichardt, Patrick Mangat, Oliver Wasenmüller
http://arxiv.org/abs/2107.06709v1
• [cs.CV]Deep Learning based Novel View Synthesis
Amit More, Subhasis Chaudhuri
http://arxiv.org/abs/2107.06812v1
• [cs.CV]Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
Anouar Kherchouche, Sid Ahmed Fezza, Wassim Hamidouche
http://arxiv.org/abs/2107.05780v1
• [cs.CV]Detection of Abnormal Behavior with Self-Supervised Gaze Estimation
Suneung-Kim, Seong-Whan Lee
http://arxiv.org/abs/2107.06530v1
• [cs.CV]Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian Leahy, Helen Yang, Alexander Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
http://arxiv.org/abs/2107.06360v1
• [cs.CV]Domain Generalization with Pseudo-Domain Label for Face Anti-Spoofing
Young Eun Kim, Seong-Whan Lee
http://arxiv.org/abs/2107.06552v1
• [cs.CV]Dynamic Event Camera Calibration
Kun Huang, Yifu Wang, Laurent Kneip
http://arxiv.org/abs/2107.06749v1
• [cs.CV]Faces in the Wild: Efficient Gender Recognition in Surveillance Conditions
Tiago Roxo, Hugo Proença
http://arxiv.org/abs/2107.06847v1
• [cs.CV]Few-shot Neural Human Performance Rendering from Sparse RGBD Videos
Anqi Pang, Xin Chen, Haimin Luo, Minye Wu, Jingyi Yu, Lan Xu
http://arxiv.org/abs/2107.06505v1
• [cs.CV]Force-in-domain GAN inversion
Guangjie Leng, Yekun Zhu, Zhi-Qin John Xu
http://arxiv.org/abs/2107.06050v2
• [cs.CV]GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray images
Baolian Qi, Gangming Zhao, Xin Wei, Chaowei Fang, Chengwei Pan, Jinpeng Li, Huiguang He, Licheng Jiao
http://arxiv.org/abs/2107.06442v1
• [cs.CV]Graph Jigsaw Learning for Cartoon Face Recognition
Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang
http://arxiv.org/abs/2107.06532v1
• [cs.CV]Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann
http://arxiv.org/abs/2107.06325v1
• [cs.CV]HAT: Hierarchical Aggregation Transformers for Person Re-identification
Guowen Zhang, Pingping Zhang, Jinqing Qi, Huchuan Lu
http://arxiv.org/abs/2107.05946v2
• [cs.CV]HDMapNet: An Online HD Map Construction and Evaluation Framework
Qi Li, Yue Wang, Yilun Wang, Hang Zhao
http://arxiv.org/abs/2107.06307v1
• [cs.CV]How Much Can CLIP Benefit Vision-and-Language Tasks?
Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
http://arxiv.org/abs/2107.06383v1
• [cs.CV]MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
Haocheng Ren, Hao Zhang, Jia Zheng, Jiaxiang Zheng, Rui Tang, Rui Wang, Hujun Bao
http://arxiv.org/abs/2107.06149v2
• [cs.CV]MSFNet:Multi-scale features network for monocular depth estimation
Meiqi Pei
http://arxiv.org/abs/2107.06445v1
• [cs.CV]Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest Radiographs
Nasir Hayat, Hazem Lashen, Farah E. Shamout
http://arxiv.org/abs/2107.06563v1
• [cs.CV]PDC: Piecewise Depth Completion utilizing Superpixels
Dennis Teutscher, Patrick Mangat, Oliver Wasenmüller
http://arxiv.org/abs/2107.06711v1
• [cs.CV]Real-Time Pothole Detection Using Deep Learning
Anas Al Shaghouri, Rami Alkhatib, Samir Berjaoui
http://arxiv.org/abs/2107.06356v1
• [cs.CV]Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
Qirong Mao, Ling Zhou, Wenming Zheng, Xiuyan Shao, Xiaohua Huang
http://arxiv.org/abs/
5aca
/2107.05904v1
5aca
/2107.05904v1)
• [cs.CV]Self-Supervised Multi-Modal Alignment for Whole Body Medical Imaging
Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman
http://arxiv.org/abs/2107.06652v1
• [cs.CV]Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan
http://arxiv.org/abs/2107.06735v1
• [cs.CV]SurgeonAssist-Net: Towards Context-Aware Head-Mounted Display-Based Augmented Reality for Surgical Guidance
Mitchell Doughty, Karan Singh, Nilesh R. Ghugre
http://arxiv.org/abs/2107.06397v1
• [cs.CV]Synthesis in Style: Semantic Segmentation of Historical Documents using Synthetic Data
Christian Bartz, Hendrik Rätz, Haojin Yang, Joseph Bethge, Christoph Meinel
http://arxiv.org/abs/2107.06777v1
• [cs.CV]Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data
Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou
http://arxiv.org/abs/2107.06707v1
• [cs.CV]Unsupervised Neural Rendering for Image Hazing
Boyun Li, Yijie Lin, Xiao Liu, Peng Hu, Jiancheng Lv, Xi Peng
http://arxiv.org/abs/2107.06681v1
• [cs.DC]A New Parallel Algorithm for Sinkhorn Word-Movers Distance and Its Performance on PIUMA and Xeon CPU
Jesmin Jahan Tithi, Fabrizio Petrini
http://arxiv.org/abs/2107.06433v1
• [cs.DC]Accelerating Distributed K-FAC with Smart Parallelism of Computing and Communication Tasks
Shaohuai Shi, Lin Zhang, Bo Li
http://arxiv.org/abs/2107.06533v1
• [cs.DC]Consistent RDMA-Friendly Hashing on Remote Persistent Memory
Xinxin Liu, Yu Hua, Rong Bai
http://arxiv.org/abs/2107.06836v1
• [cs.DC]Governing Decentralized Complex Queries Through a DAO
Mirko Zichichi, Luca Serena, Stefano Ferretti, Gabriele D’Angelo
http://arxiv.org/abs/2107.06790v1
• [cs.DC]Model-Parallel Model Selection for Deep Learning Systems
Kabir Nagrecha
http://arxiv.org/abs/2107.06469v1
• [cs.DC]Simulation of Dissemination Strategies on Temporal Networks
Luca Serena, Mirko Zichichi, Gabriele D’Angelo, Stefano Ferretti
http://arxiv.org/abs/2107.06771v1
• [cs.DL]Adaptability and the Pivot Penalty in Science
Ryan Hill, Yian Yin, Carolyn Stein, Dashun Wang, Benjamin F. Jones
http://arxiv.org/abs/2107.06476v1
• [cs.DL]Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals
Guillaume Cabanac, Cyril Labbé, Alexander Magazinov
http://arxiv.org/abs/2107.06751v1
• [cs.DS]Efficient Set of Vectors Search
Michael Leybovich, Oded Shmueli
http://arxiv.org/abs/2107.06817v1
• [cs.DS]Oblivious sketching for logistic regression
Alexander Munteanu, Simon Omlor, David Woodruff
http://arxiv.org/abs/2107.06615v1
• [cs.DS]Optimality of the Johnson-Lindenstrauss Dimensionality Reduction for Practical Measures
Yair Bartal, Ora Nova Fandina, Kasper Green Larsen
http://arxiv.org/abs/2107.06626v1
• [cs.GT]An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
http://arxiv.org/abs/2107.06650v1
• [cs.GT]Contextual Games: Multi-Agent Learning with Side Information
Pier Giuseppe Sessa, Ilija Bogunovic, Andreas Krause, Maryam Kamgarpour
http://arxiv.org/abs/2107.06327v1
• [cs.HC]WAccess — A Web Accessibility Tool based on the latest WCAG 2.2 guidelines
Kowndinya Boyalakuntla, Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
http://arxiv.org/abs/2107.06799v1
• [cs.IR]COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
Reza Khanmohammadi, Mitra Sadat Mirshafiee, Mehdi Allahyari
http://arxiv.org/abs/2107.05722v2
• [cs.IR]Contrastive Learning for Cold-Start Recommendation
Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua
http://arxiv.org/abs/2107.05315v2
• [cs.IR]Learning to Recommend Items to Wikidata Editors
Kholoud AlGhamdi, Miaojing Shi, Elena Simperl
http://arxiv.org/abs/2107.06423v1
• [cs.IR]Linking Health News to Research Literature
Jun Wang, Bei Yu
http://arxiv.org/abs/2107.06472v1
• [cs.IR]Multi-Step Critiquing User Interface for Recommender Systems
Diana Petrescu, Diego Antognini, Boi Faltings
http://arxiv.org/abs/2107.06416v1
• [cs.IR]Sequential Recommendation for Cold-start Users with Meta Transitional Learning
Jianling Wang, Kaize Ding, James Caverlee
http://arxiv.org/abs/2107.06427v1
• [cs.IT]A class of APcN power functions over finite fields of even characteristic
Ziran Tu, Xiangyong Zeng, Yupeng Jiang, Xiaohu Tang
http://arxiv.org/abs/2107.06464v1
• [cs.IT]Age of Information in Physical-Layer Network Coding Enabled Two-Way Relay Networks
Haoyuan Pan, Tse-Tin Chan, Victor C. M. Leung, Jianqiang Li
http://arxiv.org/abs/2107.06537v1
• [cs.IT]Complexity and Second Moment of the Mathematical Theory of Communication
Hsin-Po Wang
http://arxiv.org/abs/2107.06420v1
• [cs.IT]Mismatched Binary Hypothesis Testing: Error Exponent Sensitivity
Parham Boroumand, Albert Guillén i Fàbregas
http://arxiv.org/abs/2107.06679v1
• [cs.IT]Optimal Power Allocation in Downlink NOMA
Sepehr Rezvani, Eduard A. Jorswieck, Roghayeh Joda, Halim Yanikomeroglu
http://arxiv.org/abs/2107.06678v1
• [cs.IT]Practical implementation of identification codes
Roberto Ferrara, Luis Torres-Figueroa, Holger Boche, Christian Deppe, Wafa Labidi, Ullrich Mönich, Andrei Vlad-Costin
http://arxiv.org/abs/2107.06801v1
• [cs.IT]RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements Are Required to Achieve a Detection Probability Close to 1?
Jungang Ge, Ying-Chang Liang
http://arxiv.org/abs/2107.06525v1
• [cs.IT]Stochastic Geometry based Interference Analysis of Multiuser mmWave Networks with RIS
Joonas Kokkoniemi, Markku Juntti
http://arxiv.org/abs/2107.06382v1
• [cs.IT]Tailored Shaping, Improved Detection, Simpler Backpropagation: the Road to Nonlinearity Mitigation
Marco Secondini, Stella Civelli, Enrico Forestieri
http://arxiv.org/abs/2107.06589v1
• [cs.IT]Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage
Sundara Rajan Srinivasavaradhan, Sivakanth Gopi, Henry D. Pfister, Sergey Yekhanin
http://arxiv.org/abs/2107.06440v1
• [cs.LG]A novel approach for modelling and classifying sit-to-stand kinematics using inertial sensors
Maitreyee Wairagkar, Emma Villeneuve, Rachel King, Balazs Janko, Malcolm Burnett, Ann Ashburn, Veena Agarwal, R. Simon Sherratt, William Holderbaum, William Harwin
http://arxiv.org/abs/2107.06859v1
• [cs.LG]AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
Duhun Hwang, Eunjung Lee, Wonjong Rhee
http://arxiv.org/abs/2107.06456v1
• [cs.LG]ATTACC the Quadratic Bottleneck of Attention Layers
Sheng-Chun Kao, Suvinay Subramanian, Gaurav Agrawal, Tushar Krishna
http://arxiv.org/abs/2107.06419v1
• [cs.LG]CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction
Dingcheng Yang, Wenjian Yu, Yuanbo Guo, Wenjie Liang
http://arxiv.org/abs/2107.06511v1
• [cs.LG]Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine
http://arxiv.org/abs/2107.06548v1
• [cs.LG]Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco, Aviral Kumar, Xinyang Geng, Sergey Levine
http://arxiv.org/abs/2107.06882v1
• [cs.LG]Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz, Nadav Cohen
http://arxiv.org/abs/2107.06608v1
• [cs.LG]DIT4BEARs Smart Roads Internship
Md. Abrar Jahin, Andrii Krutsylo
http://arxiv.org/abs/2107.06755v1
• [cs.LG]Deep Adaptive Multi-Intention Inverse Reinforcement Learning
Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman
http://arxiv.org/abs/2107.06692v1
• [cs.LG]Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
http://arxiv.org/abs/2107.06304v1
• [cs.LG]Differential-Critic GAN: Generating What You Want by a Cue of Preferences
Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
http://arxiv.org/abs/2107.06700v1
• [cs.LG]Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings
Raef Bassily, Cristóbal Guzmán, Michael Menart
http://arxiv.org/abs/2107.05585v2
• [cs.LG]Disparity Between Batches as a Signal for Early Stopping
Mahsa Forouzesh, Patrick Thiran
http://arxiv.org/abs/2107.06665v1
• [cs.LG]Efficient Learning of Pinball TWSVM using Privileged Information and its applications
Reshma Rastogi, Aman Pal
http://arxiv.org/abs/2107.06744v1
• [cs.LG]Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
Daniel Salles Civitarese, Daniela Szwarcman, Bianca Zadrozny, Campbell Watson
http://arxiv.org/abs/2107.06846v1
• [cs.LG]Fairness in Ranking under Uncertainty
Ashudeep Singh, David Kempe, Thorsten Joachims
http://arxiv.org/abs/2107.06720v1
• [cs.LG]Federated Mixture of Experts
Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling
http://arxiv.org/abs/2107.06724v1
• [cs.LG]Federated Self-Training for Semi-Supervised Audio Recognition
Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi
http://arxiv.org/abs/2107.06877v1
• [cs.LG]Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
Patryk Orzechowski, Jason H. Moore
http://arxiv.org/abs/2107.06475v1
• [cs.LG]Geometry and Generalization: Eigenvalues as predictors of where a network will fail to generalize
Susama Agarwala, Benjamin Dees, Andrew Gearhart, Corey Lowman
http://arxiv.org/abs/2107.06386v1
• [cs.LG]Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang, Kaixuan Huang, Sham M. Kakade, Jason D. Lee, Qi Lei, Runzhe Wang, Jiaqi Yang
http://arxiv.org/abs/2107.06466v1
• [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
Martin Svedin, Artur Podobas, Steven W. D. Chien, Stefano Markidis
http://arxiv.org/abs/2107.06676v1
• [cs.LG]Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
Martin Svedin, Artur Podobas, Steven W. D. Chien, Stefano Markidis
http://arxiv.org/abs/
6319
2107.06676v1
6319
2107.06676v1)
• [cs.LG]IFedAvg: Interpretable Data-Interoperability for Federated Learning
David Roschewitz, Mary-Anne Hartley, Luca Corinzia, Martin Jaggi
http://arxiv.org/abs/2107.06580v1
• [cs.LG]Inverse Contextual Bandits: Learning How Behavior Evolves over Time
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
http://arxiv.org/abs/2107.06317v1
• [cs.LG]Learnability of Learning Performance and Its Application to Data Valuation
Tianhao Wang, Yu Yang, Ruoxi Jia
http://arxiv.org/abs/2107.06336v1
• [cs.LG]Learning interaction rules from multi-animal trajectories via augmented behavioral models
Keisuke Fujii, Naoya Takeishi, Kazushi Tsutsui, Emyo Fujioka, Nozomi Nishiumi, Ryoya Tanaka, Mika Fukushiro, Kaoru Ide, Hiroyoshi Kohno, Ken Yoda, Susumu Takahashi, Shizuko Hiryu, Yoshinobu Kawahara
http://arxiv.org/abs/2107.05326v2
• [cs.LG]MESS: Manifold Embedding Motivated Super Sampling
Erik Thordsen, Erich Schubert
http://arxiv.org/abs/2107.06566v1
• [cs.LG]On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
Julian Theis, Ilia Mokhtarian, Houshang Darabi
http://arxiv.org/abs/2107.06319v1
• [cs.LG]Online Evaluation Methods for the Causal Effect of Recommendations
Masahiro Sato
http://arxiv.org/abs/2107.06630v1
• [cs.LG]Safer Reinforcement Learning through Transferable Instinct Networks
Djordje Grbic, Sebastian Risi
http://arxiv.org/abs/2107.06686v1
• [cs.LG]Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More
Johannes Klicpera, Marten Lienen, Stephan Günnemann
http://arxiv.org/abs/2107.06876v1
• [cs.LG]Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks
Sungryull Sohn, Sungtae Lee, Jongwook Choi, Harm van Seijen, Mehdi Fatemi, Honglak Lee
http://arxiv.org/abs/2107.06405v1
• [cs.LG]The Foes of Neural Network’s Data Efficiency Among Unnecessary Input Dimensions
Vanessa D’Amario, Sanjana Srivastava, Tomotake Sasaki, Xavier Boix
http://arxiv.org/abs/2107.06409v1
• [cs.LG]Thinkback: Task-SpecificOut-of-Distribution Detection
Lixuan Yang, Dario Rossi
http://arxiv.org/abs/2107.06668v1
• [cs.LG]Tourbillon: a Physically Plausible Neural Architecture
Mohammadamin Tavakoli, Pierre Baldi, Peter Sadowski
http://arxiv.org/abs/2107.06424v1
• [cs.LG]Zero-Round Active Learning
Si Chen, Tianhao Wang, Ruoxi Jia
http://arxiv.org/abs/2107.06703v1
• [cs.LO]Improved SAT models for NFA learning
Frédéric Lardeux, Eric Monfroy
http://arxiv.org/abs/2107.06672v1
• [cs.MM]High-Speed and High-Quality Text-to-Lip Generation
Jinglin Liu, Zhiying Zhu, Yi Ren, Zhou Zhao
http://arxiv.org/abs/2107.06831v1
• [cs.MM]RCLC: ROI-based joint conventional and learning video compression
Trinh Man Hoang, Jinjia Zhou
http://arxiv.org/abs/2107.06492v1
• [cs.MM]Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition
Xinda Liu, Lili Wang, Xiaoguang Han
http://arxiv.org/abs/2107.06538v1
• [cs.NE]Hierarchical Associative Memory
Dmitry Krotov
http://arxiv.org/abs/2107.06446v1
• [cs.NE]Reinforced Hybrid Genetic Algorithm for the Traveling Salesman Problem
Jiongzhi Zheng, Menglei Chen, Jialun Zhong, Kun He
http://arxiv.org/abs/2107.06870v1
• [cs.NI]QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning
Jakob Stigenberg, Vidit Saxena, Soma Tayamon, Euhanna Ghadimi
http://arxiv.org/abs/2107.06570v1
• [cs.RO]AutoMCM: Maneuver Coordination Service with Abstracted Functions for Autonomous Driving
Masaya Mizutani, Manabu Tsukada, Hiroshi Esaki
http://arxiv.org/abs/2107.06627v1
• [cs.RO]DULA: A Differentiable Ergonomics Model for Postural Optimization in Physical HRI
Amir Yazdani, Roya Sabbagh Novin, Andrew Merryweather, Tucker Hermans
http://arxiv.org/abs/2107.06875v1
• [cs.RO]Distributionally Robust Policy Learning via Adversarial Environment Generation
Allen Z. Ren, Anirudha Majumdar
http://arxiv.org/abs/2107.06353v1
• [cs.RO]Efficient and Reactive Planning for High Speed Robot Air Hockey
Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
http://arxiv.org/abs/2107.06140v2
• [cs.RO]FAST-LIO2: Fast Direct LiDAR-inertial Odometry
Wei Xu, Yixi Cai, Dongjiao He, Jiarong Lin, Fu Zhang
http://arxiv.org/abs/2107.06829v1
• [cs.RO]Model-free Reinforcement Learning for Robust Locomotion Using Trajectory Optimization for Exploration
Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti
http://arxiv.org/abs/2107.06629v1
• [cs.RO]Probabilistic Human Motion Prediction via A Bayesian Neural Network
Jie Xu, Xingyu Chen, Xuguang Lan, Nanning Zheng
http://arxiv.org/abs/2107.06564v1
• [cs.RO]Robust and Recursively Feasible Real-Time Trajectory Planning in Unknown Environments
Inkyu Jang, Dongjae Lee, Seungjae Lee, H. Jin Kim
http://arxiv.org/abs/2107.06484v1
• [cs.RO]Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance
Jungseok Hong, Karin de Langis, Cole Wyeth, Christopher Walaszek, Junaed Sattar
http://arxiv.org/abs/2107.06401v1
• [cs.SD]Serialized Multi-Layer Multi-Head Attention for Neural Speaker Embedding
Hongning Zhu, Kong Aik Lee, Haizhou Li
http://arxiv.org/abs/2107.06493v1
• [cs.SE]DeepMutants: Training neural bug detectors with contextual mutations
Cedric Richter, Heike Wehrheim
http://arxiv.org/abs/2107.06657v1
• [cs.SE]MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence
Armin Moin, Moharram Challenger, Atta Badii, Stephan Günnemann
http://arxiv.org/abs/2107.06708v1
• [cs.SI]Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
Lakmal Meegahapola, Florian Labhart, Thanh-Trung Phan, Daniel Gatica-Perez
http://arxiv.org/abs/2107.06302v1
• [cs.SI]Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
Shiqing Wu, Weihua Li, Hao Shen, Quan Bai
http://arxiv.org/abs/2107.05992v2
• [cs.SI]Information Spread with Error Correction
Omri Ben-Eliezer, Elchanan Mossel, Madhu Sudan
http://arxiv.org/abs/2107.06362v1
• [econ.TH]A Smoothed Impossibility Theorem on Condorcet Criterion and Participation
Lirong Xia
http://arxiv.org/abs/2107.06435v1
• [eess.IV]Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation
Camila Gonzalez, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
http://arxiv.org/abs/2107.05975v2
• [eess.IV]Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel C. Castro
http://arxiv.org/abs/2107.06618v1
• [eess.IV]Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han
http://arxiv.org/abs/2107.06463v1
• [eess.IV]Meta-Optimization of Deep CNN for Image Denoising Using LSTM
Basit O. Alawode, Motaz Alfarraj
http://arxiv.org/abs/2107.06845v1
• [eess.IV]Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
Meng Xu, Zhihao Wang, Jiasong Zhu, Xiuping Jia, Sen Jia
http://arxiv.org/abs/2107.06536v1
• [eess.SP]Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
M. A. Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante, Sławomir Stańczak
http://arxiv.org/abs/2107.06677v1
• [eess.SY]A Particle Filter Approach to Power System Line Outage Detection Using Load and Generator Bus Dynamics
Xiaozhou Yang, Nan Chen, Chao Zhai
http://arxiv.org/abs/2107.06754v1
• [math.DS]A Framework for Machine Learning of Model Error in Dynamical Systems
Matthew E. Levine, Andrew M. Stuart
http://arxiv.org/abs/2107.06658v1
• [math.OC]A Granular Sieving Algorithm for Deterministic Global Optimization
Tao Qian, Lei Dai, Liming Zhang, Zehua Chen
http://arxiv.org/abs/2107.06581v1
• [math.OC]Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
Zeeshan Akhtar, Ketan Rajawat
http://arxiv.org/abs/2107.06534v1
• [math.PR]Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering
Michele Coghi, Torstein Nilssen, Nikolas Nüsken
http://arxiv.org/abs/2107.06621v1
• [math.PR]Spectral Recovery of Binary Censored Block Models
Souvik Dhara, Julia Gaudio, Elchanan Mossel, Colin Sandon
http://arxiv.org/abs/2107.06338v1
• [math.ST]Convergence rates of vector-valued local polynomial regression
Yariv Aizenbud, Barak Sober
http://arxiv.org/abs/2107.05852v2
• [math.ST]Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities
Miklos Z. Racz, Anirudh Sridhar
http://arxiv.org/abs/2107.06767v1
• [math.ST]Extended L-ensembles: a new representation for Determinantal Point Processes
Nicolas Tremblay, Simon Barthelmé, Konstantin Usevich, Pierre-Olivier Amblard
http://arxiv.org/abs/2107.06345v1
• [math.ST]New Developments on the Non-Central Chi-Squared and Beta Distributions
Carlo Orsi
http://arxiv.org/abs/2107.06689v1
• [physics.app-ph]Resonant Tunnelling Diode Nano-Optoelectronic Spiking Nodes For Neuromorphic Information Processing
Matěj Hejda, Juan Arturo Alanis, Ignacio Ortega-Piwonka, João Lourenço, José Figueiredo, Julien Javaloyes, Bruno Romeira, Antonio Hurtado
http://arxiv.org/abs/2107.06721v1
• [physics.comp-ph]3D Acoustic-Elastic Coupling with Gravity: The Dynamics of the 2018 Palu, Sulawesi Earthquake and Tsunami
Lukas Krenz, Carsten Uphoff, Thomas Ulrich, Alice-Agnes Gabriel, Lauren S. Abrahams, Eric M. Dunham, Michael Bader
http://arxiv.org/abs/2107.06640v1
• [q-bio.PE]Total Effect Analysis of Vaccination on Household Transmission in the Office for National Statistics COVID-19 Infection Survey
Thomas House, Lorenzo Pellis, Emma Pritchard, Angela R. McLean, A. Sarah Walker
http://arxiv.org/abs/2107.06545v1
• [quant-ph]A Theoretical Framework for Learning from Quantum Data
Mohsen Heidari, Arun Padakandla, Wojciech Szpankowski
http://arxiv.org/abs/2107.06406v1
• [stat.ME]Bayesian Lifetime Regression with Multi-type Group-shared Latent Heterogeneity
Xuxue Sun, Mingyang Li
http://arxiv.org/abs/2107.06539v1
• [stat.ME]Bayesian Semiparametric Multivariate Density Deconvolution via Stochastic Rotation of Replicates
Arkaprava Roy, Abhra Sarkar
http://arxiv.org/abs/2107.06436v1
• [stat.ME]Comparison of Canonical Correlation and Partial Least Squares analyses of simulated and empirical data
Anthony R McIntosh
http://arxiv.org/abs/2107.06867v1
• [stat.ME]For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets
Brian L. Trippe, Hilary K. Finucane, Tamara Broderick
http://arxiv.org/abs/2107.06428v1
• [stat.ME]Graphical Laplace-approximated maximum likelihood estimation: approximated likelihood inference for network data analysis
Chaonan Jiang, Davide La Vecchia, Riccardo Rastelli
http://arxiv.org/abs/2107.05915v2
• [stat.ME]Method of Moments Confidence Intervals for a Semi-Supervised Two-Component Mixture Model
Bradley Lubich, Daniel Jeske, Weixin Yao
http://arxiv.org/abs/2107.06503v1
• [stat.ME]On Estimating Optimal Regime for Treatment Initiation Time Based on Restricted Mean Residual Lifetime
Xin Chen, Rui Song, Jiajia Zhang, Swann Arp Adams, Liuquan Sun, Wenbin Lu
http://arxiv.org/abs/2107.04839v2
• [stat.ME]Planning a method for covariate adjustment in individually-randomised trials: a practical guide
Tim P. Morris, A. Sarah Walker, Elizabeth J. Williamson, Ian R. White
http://arxiv.org/abs/2107.06398v1
• [stat.ME]Survey data integration for regression analysis using model calibration
Hang J. Kim, Zhonglei Wang, Jae Kwang Kim
http://arxiv.org/abs/2107.06448v1
• [stat.ME]Time Series Estimation of the Dynamic Effects of Disaster-Type Shock
Richard Davis, Serena Ng
http://arxiv.org/abs/2107.06663v1
• [stat.ML]M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond
Florian Ziel
http://arxiv.org/abs/2107.06675v1
• [stat.ML]Spectrum Gaussian Processes Based On Tunable Basis Functions
Wenqi Fang, Guanlin Wu, Jingjing Li, Zheng Wang, Jiang Cao, Yang Ping
http://arxiv.org/abs/2107.06473v1