cond-mat.dis-nn - 无序系统与神经网络
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.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
cs.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
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.soc-ph - 物理学与社会
q-bio.PE - 人口与发展
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.dis-nn]Optimal input representation in neural systems at the edge of chaos
• [cs.AI]Carle’s Game: An Open-Ended Challenge in Exploratory Machine Creativity
• [cs.AI]Encoding Compositionality in Classical Planning Solutions
• [cs.AI]Fairness-aware Summarization for Justified Decision-Making
• [cs.AI]GA and ILS for optimizing the size of NFA models
• [cs.AI]Generalization of graph network inferences in higher-order probabilistic graphical models
• [cs.AI]Ontology-Based Process Modelling — Will we live to see it?
• [cs.AI]Parallelisable Existential Rules: a Story of Pieces
• [cs.AI]Pattern Discovery and Validation Using Scientific Research Methods
• [cs.AI]Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things
• [cs.AI]Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
• [cs.AI]Understanding Factors Affecting Fuel Consumption of Vehicles Through Explainable AI: A Use Case With Explainable Boosting Machines
• [cs.AI]Zero-shot Visual Question Answering using Knowledge Graph
• [cs.CL]A Dialogue-based Information Extraction System for Medical Insurance Assessment
• [cs.CL]Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation
• [cs.CL]Between Flexibility and Consistency: Joint Generation of Captions and Subtitles
• [cs.CL]Deep Neural Networks Evolve Human-like Attention Distribution during Reading Comprehension
• [cs.CL]End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents
• [cs.CL]Enforcing Consistency in Weakly Supervised Semantic Parsing
• [cs.CL]Exploiting Network Structures to Improve Semantic Representation for the Financial Domain
• [cs.CL]Few-shot Language Coordination by Modeling Theory of Mind
• [cs.CL]Generating Gender Augmented Data for NLP
• [cs.CL]Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
• [cs.CL]Indian Legal NLP Benchmarks : A Survey
• [cs.CL]On the Difficulty of Translating Free-Order Case-Marking Languages
• [cs.CL]Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff
• [cs.CL]Rating Facts under Coarse-to-fine Regimes
• [cs.CL]The IWSLT 2021 BUT Speech Translation Systems
• [cs.CL]Uncertainty-based Query Strategies for Active Learning with Transformers
• [cs.CL]Zero-shot Speech Translation
• [cs.CR]Covariance’s Loss is Privacy’s Gain: Computationally Efficient, Private and Accurate Synthetic Data
• [cs.CR]EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks
• [cs.CV]’CADSketchNet’ — An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
• [cs.CV]3D Parametric Wireframe Extraction Based on Distance Fields
• [cs.CV]A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images
• [cs.CV]Automatic Seizure Detection Using the Pulse Transit Time
• [cs.CV]Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization
• [cs.CV]Bidirectional Regression for Arbitrary-Shaped Text Detection
• [cs.CV]CMT: Convolutional Neural Networks Meet Vision Transformers
• [cs.CV]Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
• [cs.CV]CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
• [cs.CV]Context-aware virtual adversarial training for anatomically-plausible segmentation
• [cs.CV]DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction
• [cs.CV]Deep Ranking with Adaptive Margin Triplet Loss
• [cs.CV]Deep learning approaches to Earth Observation change detection
• [cs.CV]Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising
• [cs.CV]Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision
• [cs.CV]Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization
• [cs.CV]Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
• [cs.CV]Everybody Is Unique: Towards Unbiased Human Mesh Recovery
• [cs.CV]Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation
• [cs.CV]Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
• [cs.CV]Fast and Explicit Neural View Synthesis
• [cs.CV]Force-in-domain GAN inversion
• [cs.CV]HAT: Hierarchical Aggregation Transformers for Person Re-identification
• [cs.CV]Learning Aesthetic Layouts via Visual Guidance
• [cs.CV]Learning a Discriminant Latent Space with Neural Discriminant Analysis
• [cs.CV]Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift
• [cs.CV]Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
• [cs.CV]MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis
• [cs.CV]MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting
• [cs.CV]Multitask Identity-Aware Image Steganography via Minimax Optimization
• [cs.CV]NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
• [cs.CV]Object Tracking and Geo-localization from Street Images
• [cs.CV]PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows
• [cs.CV]Per-Pixel Classification is Not All You Need for Semantic Segmentation
• [cs.CV]ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
• [cs.CV]Region attention and graph embedding network for occlusion objective class-based micro-expression recognition
• [cs.CV]Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
• [cs.CV]ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer
• [cs.CV]Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
• [cs.CV]Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
• [cs.CV]This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
• [cs.CV]Towards Building a Food Knowledge Graph for Internet of Food
• [cs.CV]Visual Parser: Representing Part-whole Hierarchies with Transformers
• [cs.CV]eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges
• [cs.CY]A Classification of Artificial Intelligence Systems for Mathematics Education
• [cs.CY]How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?
• [cs.DC]Monotonic Filtering for Distributed Collection
• [cs.DC]Recent Advances in Energy Efficient Resource Management Techniques in Cloud Computing Environments
• [cs.DC]Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
• [cs.DS]A Parallel Approximation Algorithm for Maximizing Submodular -Matching
• [cs.GT]Robust Learning of Optimal Auctions
• [cs.HC]ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students
• [cs.IR]Asking Clarifying Questions Based on Negative Feedback in Conversational Search
• [cs.IR]COPER a query-adaptable Semantics-based Search Engine for Persian COVID-19 Articles
• [cs.IR]SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
• [cs.IT]Deterministic Identification Over Poisson Channels
• [cs.IT]Efficient Belief Propagation List Ordered Statistics Decoding of Polar Codes
• [cs.IT]Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities
• [cs.IT]Linear and Reed Solomon Codes Against Adversarial Insertions and Deletions
• [cs.IT]Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution
• [cs.IT]Primitive Rateless Codes
• [cs.IT]Secure Short-Packet Communications at the Physical Layer for 5G and Beyond
• [cs.LG]A Closer Look at the Adversarial Robustness of Information Bottleneck Models
• [cs.LG]A Deep Generative Artificial Intelligence system to decipher species coexistence patterns
• [cs.LG]A Graph Data Augmentation Strategy with Entropy Preserving
• [cs.LG]A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments
• [cs.LG]Adapting to Misspecification in Contextual Bandits
• [cs.LG]Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
• [cs.LG]AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training
• [cs.LG]Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
• [cs.LG]AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
• [cs.LG]Automated Learning Rate Scheduler for Large-batch Training
• [cs.LG]Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks
• [cs.LG]Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
• [cs.LG]Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
• [cs.LG]Combiner: Full Attention Transformer with Sparse Computation Cost
• [cs.LG]Conservative Offline Distributional Reinforcement Learning
• [cs.LG]Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors
• [cs.LG]DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
• [cs.LG]Data-Driven Low-Rank Neural Network Compression
• [cs.LG]Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey
• [cs.LG]Fast-Slow Streamflow Model Using Mass-Conserving LSTM
• [cs.LG]Fine-Grained AutoAugmentation for Multi-Label Classification
• [cs.LG]Generative Adversarial Learning via Kernel Density Discrimination
• [cs.LG]Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
• [cs.LG]How many degrees of freedom do we need to train deep networks: a loss landscape perspective
• [cs.LG]Identification of Dynamical Systems using Symbolic Regression
• [cs.LG]Induced Domain Adaptation
• [cs.LG]Kernel Continual Learning
• [cs.LG]Least-Squares Linear Dilation-Erosion Regressor Trained using Stochastic Descent Gradient or the Difference of Convex Methods
• [cs.LG]Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks
• [cs.LG]No Regrets for Learning the Prior in Bandits
• [cs.LG]On Choice of Hyper-parameter in Extreme Value Theory based on Machine Learning Techniques
• [cs.LG]On Designing Good Representation Learning Models
• [cs.LG]Pessimistic Model-based Offline RL: PAC Bounds and Posterior Sampling under Partial Coverage
• [cs.LG]Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning
• [cs.LG]Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data
• [cs.LG]Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting
• [cs.LG]SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks
• [cs.LG]Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
• [cs.LG]Stress Classification and Personalization: Getting the most out of the least
• [cs.LG]Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning
• [cs.LG]Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
• [cs.LG]What classifiers know what they don’t?
• [cs.LG]Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
• [cs.NE]An active dendritic tree can mitigate fan-in limitations in superconducting neurons
• [cs.NI]Toward Efficient Transfer Learning in 6G
• [cs.RO]A Novel Dual Quaternion Based Dynamic Motion Primitives for Acrobatic Flight
• [cs.RO]Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic
• [cs.RO]Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
• [cs.RO]DefGraspSim: Simulation-based grasping of 3D deformable objects
• [cs.RO]Efficient and Reactive Planning for High Speed Robot Air Hockey
• [cs.RO]Evaluation of an Inflated Beam Model Applied to Everted Tubes
• [cs.RO]Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities
• [cs.RO]Motion Planning by Learning the Solution Manifold in Trajectory Optimization
• [cs.RO]Motion-Aware Robotic 3D Ultrasound
• [cs.RO]Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
• [cs.RO]OpenCDA:An Open Cooperative Driving Automation FrameworkIntegrated with Co-Simulation
• [cs.RO]Precise Visual-Inertial Localization for UAV with the Aid of A 2D Georeferenced Map
• [cs.RO]Safety and progress proofs for a reactive planner and controller for autonomous driving
• [cs.SD]Codified audio language modeling learns useful representations for music information retrieval
• [cs.SD]Conformer-based End-to-end Speech Recognition With Rotary Position Embedding
• [cs.SD]The Piano Inpainting Application
• [cs.SD]Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model
• [cs.SD]Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
• [cs.SE]Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
• [cs.SE]On the Evaluation of Commit Message Generation Models: An Experimental Study
• [cs.SI]8000
Tales of a City: Sentiment Analysis of Urban Green Space in Dublin
• [cs.SI]Blending search queries with social media data to improve forecasts of economic indicators
• [cs.SI]Co-evolution of Opinion and Social Tie Dynamics Towards Structural Balance
• [cs.SI]Detecting Ideal Instagram Influencer Using Social Network Analysis
• [cs.SI]Identifying Influential Users in Unknown Social Networks for Adaptive Incentive Allocation Under Budget Restriction
• [econ.EM]Inference on Individual Treatment Effects in Nonseparable Triangular Models
• [econ.EM]MinP Score Tests with an Inequality Constrained Parameter Space
• [eess.AS]A Configurable Multilingual Model is All You Need to Recognize All Languages
• [eess.IV]Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms
• [eess.IV]Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
• [eess.IV]Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
• [eess.IV]Detecting when pre-trained nnU-Net models fail silently for Covid-19
• [eess.SP]A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
• [eess.SP]Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks
• [eess.SP]Quality of Service Guarantees for Physical Unclonable Functions
• [eess.SY]Design of a Smooth Landing Trajectory Tracking System for a Fixed-wing Aircraft
• [eess.SY]Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire
• [math.NA]Computational modelling and data-driven homogenisation of knitted membranes
• [math.OC]Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
• [math.OC]One-Point Gradient-Free Methods for Composite Optimization with Applications to Distributed Optimization
• [math.ST]Convergence rates vector-valued local polynomial regression
• [math.ST]Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations
• [math.ST]Two Sample Test for Extrinsic Antimeans on Planar Kendall Shape Spaces with an Application to Medical Imaging
• [physics.soc-ph]Analytical approach to the generalized friendship paradox in networks with correlated attributes
• [physics.soc-ph]Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network
• [q-bio.PE]The Fundamental Theorem of Natural Selection
• [stat.AP]Effects of personality traits in predicting grade retention of Brazilian students
• [stat.AP]Impact of heat waves and cold spells on cause-specific mortality in the city of Sao Paulo, Brazil
• [stat.AP]Outcome-guided Bayesian Clustering for Disease Subtype Discovery Using High-dimensional Transcriptomic Data
• [stat.CO]IID Sampling from Intractable Distributions
• [stat.CO]Optimal projection to improve parametric importance sampling in high dimension
• [stat.ME]Assessment of Immune Correlates of Protection via Controlled Vaccine Efficacy and Controlled Risk
• [stat.ME]Cauchy Combination Test for Sparse Signals
• [stat.ME]GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
• [stat.ME]Gaussian process interpolation: the choice of the family of models is more important than that of the selection criterion
• [stat.ME]Graphical Laplace-approximated maximum likelihood estimation: approximated likelihood inference for network data analysis
• [stat.ME]Heterogeneous Effects in the Built Environment
• [stat.ME]Latent Transport Models for Multivariate Functional Data
• [stat.ME]On doubly robust inference for double machine learning
• [stat.ML]Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
• [stat.ML]Deep Autoregressive Models with Spectral Attention
• [stat.ML]Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
• [stat.ML]Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes
• [stat.ML]Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
• [stat.ML]Wasserstein GAN: Deep Generation applied on Bitcoins financial time series
·····································
• [cond-mat.dis-nn]Optimal input representation in neural systems at the edge of chaos
Guillermo B. Morales, Miguel A. Muñoz
http://arxiv.org/abs/2107.05709v1
• [cs.AI]Carle’s Game: An Open-Ended Challenge in Exploratory Machine Creativity
Q. Tyrell Davis
http://arxiv.org/abs/2107.05786v1
• [cs.AI]Encoding Compositionality in Classical Planning Solutions
Angeline Aguinaldo, William Regli
http://arxiv.org/abs/2107.05850v1
• [cs.AI]Fairness-aware Summarization for Justified Decision-Making
Moniba Keymanesh, Tanya Berger-Wolf, Micha Elsner, Srinivasan Parthasarathy
http://arxiv.org/abs/2107.06243v1
• [cs.AI]GA and ILS for optimizing the size of NFA models
Frédéric Lardeux, Eric Monfroy
http://arxiv.org/abs/2107.05877v1
• [cs.AI]Generalization of graph network inferences in higher-order probabilistic graphical models
Yicheng Fei, Xaq Pitkow
http://arxiv.org/abs/2107.05729v1
• [cs.AI]Ontology-Based Process Modelling — Will we live to see it?
Carl Corea, Michael Fellmann, Patrick Delfmann
http://arxiv.org/abs/2107.06146v1
• [cs.AI]Parallelisable Existential Rules: a Story of Pieces
Maxime Buron, Marie-Laure Mugnier, Michaël Thomazo
http://arxiv.org/abs/2107.06054v1
• [cs.AI]Pattern Discovery and Validation Using Scientific Research Methods
Dirk Riehle, Nikolay Harutyunyan, Ann Barcomb
http://arxiv.org/abs/2107.06065v1
• [cs.AI]Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things
Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany, Olivier Boissier
http://arxiv.org/abs/2107.05949v1
• [cs.AI]Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks
Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone
http://arxiv.org/abs/2107.05825v1
• [cs.AI]Understanding Factors Affecting Fuel Consumption of Vehicles Through Explainable AI: A Use Case With Explainable Boosting Machines
Alberto Barbado, Óscar Corcho
http://arxiv.org/abs/2107.06031v1
• [cs.AI]Zero-shot Visual Question Answering using Knowledge Graph
Zhuo Chen, Jiaoyan Chen, Yuxia Geng, Jeff Z. Pan, Zonggang Yuan, Huajun Chen
http://arxiv.org/abs/2107.05348v2
• [cs.CL]A Dialogue-based Information Extraction System for Medical Insurance Assessment
Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang, Lei Liu
http://arxiv.org/abs/2107.05866v1
• [cs.CL]Accenture at CheckThat! 2021: Interesting claim identification and ranking with contextually sensitive lexical training data augmentation
Evan Williams, Paul Rodrigues, Sieu Tran
http://arxiv.org/abs/2107.05684v1
• [cs.CL]Between Flexibility and Consistency: Joint Generation of Captions and Subtitles
Alina Karakanta, Marco Gaido, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2107.06246v1
• [cs.CL]Deep Neural Networks Evolve Human-like Attention Distribution during Reading Comprehension
Jiajie Zou, Nai Ding
http://arxiv.org/abs/2107.05799v1
• [cs.CL]End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents
Fahim Shahriar Khan, Mueeze Al Mushabbir, Mohammad Sabik Irbaz, MD Abdullah Al Nasim
http://arxiv.org/abs/2107.05541v2
• [cs.CL]Enforcing Consistency in Weakly Supervised Semantic Parsing
Nitish Gupta, Sameer Singh, Matt Gardner
http://arxiv.org/abs/2107.05833v1
• [cs.CL]Exploiting Network Structures to Improve Semantic Representation for the Financial Domain
Chao Feng, Shi-jie We
http://arxiv.org/abs/2107.05885v1
• [cs.CL]Few-shot Language Coordination by Modeling Theory of Mind
Hao Zhu, Graham Neubig, Yonatan Bisk
http://arxiv.org/abs/2107.05697v1
• [cs.CL]Generating Gender Augmented Data for NLP
Nishtha Jain, Maja Popovic, Declan Groves, Eva Vanmassenhove
http://arxiv.org/abs/2107.05987v1
• [cs.CL]Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
Yun Tang, Juan Pino, Xian Li, Changhan Wang, Dmitriy Genzel
http://arxiv.org/abs/2107.05782v1
• [cs.CL]Indian Legal NLP Benchmarks : A Survey
Prathamesh Kalamkar, Janani Venugopalan Ph. D., Vivek Raghavan Ph. D
http://arxiv.org/abs/2107.06056v1
• [cs.CL]On the Difficulty of Translating Free-Order Case-Marking Languages
Arianna Bisazza, Ahmet Üstün, Stephan Sportel
http://arxiv.org/abs/2107.06055v1
• [cs.CL]Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability Tradeoff
Mitchell Naylor, Christi French, Samantha Terker, Uday Kamath
http://arxiv.org/abs/2107.05693v1
• [cs.CL]Rating Facts under Coarse-to-fine Regimes
Guojun Wu
http://arxiv.org/abs/2107.06051v1
• [cs.CL]The IWSLT 2021 BUT Speech Translation Systems
Hari Krishna Vydana, Martin Karafi’at, Luk’as Burget, “Honza” Cernock’y
http://arxiv.org/abs/2107.06155v1
• [cs.CL]Uncertainty-based Query Strategies for Active Learning with Transformers
Christopher Schröder, Andreas Niekler, Martin Potthast
http://arxiv.org/abs/2107.05687v1
• [cs.CL]Zero-shot Speech Translation
Tu Anh Dinh
http://arxiv.org/abs/2107.06010v1
• [cs.CR]Covariance’s Loss is Privacy’s Gain: Computationally Efficient, Private and Accurate Synthetic Data
March Boedihardjo, Thomas Strohmer, Roman Vershynin
http://arxiv.org/abs/2107.05824v1
• [cs.CR]EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks
Andrei Ilie, Marius Popescu, Alin Stefanescu
http://arxiv.org/abs/2107.05754v1
• [cs.CV]‘CADSketchNet’ — An Annotated Sketch dataset for 3D CAD Model Retrieval with Deep Neural Networks
Bharadwaj Manda, Shubham Dhayarkar, Sai Mitheran, V. K. Viekash, Ramanathan Muthuganapathy
http://arxiv.org/abs/2107.06212v1
• [cs.CV]3D Parametric Wireframe Extraction Based on Distance Fields
Albert Matveev, Alexey Artemov, Denis Zorin, Evgeny Burnaev
http://arxiv.org/abs/2107.06165v1
• [cs.CV]A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images
Suranjan Goswami, IEEE Student Member, Satish Kumar Singh, Senior Member, IEEE, Bidyut B. Chaudhuri, Life Fellow, IEEE
http://arxiv.org/abs/2107.05942v1
• [cs.CV]Automatic Seizure Detection Using the Pulse Transit Time
Eric Fiege, Salima Houta, Pinar Bisgin, Rainer Surges, Falk Howar
http://arxiv.org/abs/2107.05894v1
• [cs.CV]Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization
Jian Wang, Miaomiao Zhang
http://arxiv.org/abs/2107.05698v1
• [cs.CV]Bidirectional Regression for Arbitrary-Shaped Text Detection
Tao Sheng, Zhouhui Lian
http://arxiv.org/abs/2107.06129v1
• [cs.CV]CMT: Convolutional Neural Networks Meet Vision Transformers
Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
http://arxiv.org/abs/2107.06263v1
• [cs.CV]Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification
Irma van den Brandt, Floris Fok, Bas Mulders, Joaquin Vanschoren, Veronika Cheplygina
http://arxiv.org/abs/2107.05940v1
• [cs.CV]CentripetalText: An Efficient Text Instance Representation for Scene Text Detection
Tao Sheng, Jie Chen, Zhouhui Lian
http://arxiv.org/abs/2107.05945v1
• [cs.CV]Context-aware virtual adversarial training for anatomically-plausible segmentation
Ping Wang, Jizong Peng, Marco Pedersoli, Yuanfeng Zhou, Caiming Zhang, Christian Desrosiers
http://arxiv.org/abs/2107.05532v2
• [cs.CV]DDCNet-Multires: Effective Receptive Field Guided Multiresolution CNN for Dense Prediction
Ali Salehi, Madhusudhanan Balasubramanian
http://arxiv.org/abs/2107.05634v1
• [cs.CV]Deep Ranking with Adaptive Margin Triplet Loss
Mai Lan Ha, Volker Blanz
http://arxiv.org/abs/2107.06187v1
• [cs.CV]Deep learning approaches to Earth Observation change detection
Antonio Di Pilato, Nicolò Taggio, Alexis Pompili, Michele Iacobellis, Adriano Di Florio, Davide Passarelli, Sergio Samarelli
http://arxiv.org/abs/2107.06132v1
• [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/org/abs/2107.05780v1
• [cs.CV]Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision
Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, Sam Kwong
http://arxiv.org/abs/2107.05821v1
• [cs.CV]Domain-Irrelevant Representation Learning for Unsupervised Domain Generalization
Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu
http://arxiv.org/abs/2107.06219v1
• [cs.CV]Dynamic Distribution of Edge Intelligence at the Node Level for Internet of Things
Hawzhin Mohammed, Tolulope A. Odetola, Nan Guo, Syed Rafay Hasan
http://arxiv.org/abs/2107.05828v1
• [cs.CV]Everybody Is Unique: Towards Unbiased Human Mesh Recovery
Ren Li, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu
http://arxiv.org/abs/2107.06239v1
• [cs.CV]Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation
Fabrizio J. Piva, Gijs Dubbelman
http://arxiv.org/abs/2107.06235v1
• [cs.CV]Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
Shuhao Cui, Shuhui Wang, Junbao Zhuo, Liang Li, Qingming Huang, Qi Tian
http://arxiv.org/abs/2107.06154v1
• [cs.CV]Fast and Explicit Neural View Synthesis
Pengsheng Guo, Miguel Angel Bautista, Alex Colburn, Liang Yang, Daniel Ulbricht, Joshua M. Susskind, Qi Shan
http://arxiv.org/abs/2107.05775v1
• [cs.CV]Force-in-domain GAN inversion
Guangjie Leng, Yeku Zhu, Zhi-Qin John Xu
http://arxiv.org/abs/2107.06050v1
• [cs.CV]HAT: Hierarchical Aggregation Transformers for Person Re-identification
Guowen Zhang, Pingping Zhang, Jinqing Qi, Huchuan Lu
http://arxiv.org/abs/2107.05946v1
• [cs.CV]Learning Aesthetic Layouts via Visual Guidance
Qingyuan Zheng, Zhuoru Li, Adam Bargteil
http://arxiv.org/abs/2107.06262v1
• [cs.CV]Learning a Discriminant Latent Space with Neural Discriminant Analysis
Mai Lan Ha, Gianni Franchi, Emanuel Aldea, Volker Blanz
http://arxiv.org/abs/2107.06209v1
• [cs.CV]Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift
Gregory Filbrandt, Konstantinos Kamnitsas, David Bernstein, Alexandra Taylor, Ben Glocker
http://arxiv.org/abs/2107.05938v1
• [cs.CV]Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
Chenglin Yang, Siyuan Qiao, Adam Kortylewski, Alan Yuille
http://arxiv.org/abs/2107.05637v1
• [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/2107.06149v1
• [cs.CV]MSR-Net: Multi-Scale Relighting Network for One-to-One Relighting
Sourya Dipta Das, Nisarg A. Shah, Saikat Dutta
http://arxiv.org/abs/2107.06125v1
• [cs.CV]Multitask Identity-Aware Image Steganography via Minimax Optimization
Jiabao Cui, Pengyi Zhang, Songyuan Li, Liangli Zheng, Cuizhu Bao, Jupeng Xia, Xi Li
http://arxiv.org/abs/2107.05819v1
• [cs.CV]NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale
Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister
http://arxiv.org/abs/2107.05840v1
• [cs.CV]Object Tracking and Geo-localization from Street Images
Daniel Wilson, Thayer Alshaabi, Colin Van Oort, Xiaohan Zhang, Jonathan Nelson, Safwan Wshah
http://arxiv.org/abs/2107.06257v1
• [cs.CV]PU-Flow: a Point Cloud Upsampling Networkwith Normalizing Flows
Aihua Mao, Zihui Du, Junhui Hou, Yaqi Duan, Yong-jin Liu, Ying He
http://arxiv.org/abs/2107.05893v1
• [cs.CV]Per-Pixel Classification is Not All You Need for Semantic Segmentation
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
http://arxiv.org/abs/2107.06278v1
• [cs.CV]ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
Rongkai Zhang, Lanqing Guo, Siyu Huang, Bihan Wen
http://arxiv.org/abs/2107.05830v1
• [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/2107.05904v1
• [cs.CV]Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval
Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar
http://arxiv.org/abs/2107.06256v1
• [cs.CV]ST-DETR: Spatio-Temporal Object Traces Attention Detection Transformer
Eslam Mohamed, Ahmad El-Sallab
http://arxiv.org/abs/2107.05887v1
• [cs.CV]Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
Raphael Sulzer, Loic Landrieu, Renaud Marlet, Bruno Vallet
http://arxiv.org/abs/2107.06130v1
• [cs.CV]Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation
Pierre Marza, Laetitia Matignon, Olivier Simonin, Christian Wolf
http://arxiv.org/abs/2107.06011v1
• [cs.CV]This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces
Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
http://arxiv.org/abs/2107.06018v1
• [cs.CV]Towards Building a Food Knowledge Graph for Internet of Food
Weiqing Min, Chunlin Liu, Shuqiang Jiang
http://arxiv.org/abs/2107.05869v1
• [cs.CV]Visual Parser: Representing Part-whole Hierarchies with Transformers
Shuyang Sun, Xiaoyu Yue, Song Bai, Philip Torr
http://arxiv.org/abs/2107.05790v1
• [cs.CV]eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges
Jiangbo Yuan, An-Ti Chiang, Wen Tang, Antonio Haro
http://arxiv.org/abs/2107.05856v1
• [cs.CY]A Classification of Artificial Intelligence Systems for Mathematics Education
Steven Van Vaerenbergh, Adrián Pérez-Suay
http://arxiv.org/abs/2107.06015v1
• [cs.CY]How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?
Reuben Binns, Reuben Kirkham
http://arxiv.org/abs/2107.05704v1
• [cs.DC]Monotonic Filtering for Distributed Collection
Hunza Zainab, Giorgio Audrito, Soura Dasgupta, Jacob Beal
http://arxiv.org/abs/2107.05791v1
• [cs.DC]Recent Advances in Energy Efficient Resource Management Techniques in Cloud Computing Environments
Niloofar Gholipour, Ehsan Arianyan, Rajkumar Buyya
http://arxiv.org/abs/2107.06005v1
• [cs.DC]Transitioning from file-based HPC workflows to streaming data pipelines with openPMD and ADIOS2
Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl
http://arxiv.org/abs/2107.06108v1
• [cs.DS]A Parallel Approximation Algorithm for Maximizing Submodular -Matching
S M Ferdous, Alex Pothen, Arif Khan, Ajay Panyala, Mahantesh Halappanavar
http://arxiv.org/abs/2107.05793v1
• [cs.GT]Robust Learning of Optimal Auctions
Wenshuo Guo, Michael I. Jordan, Manolis Zampetakis
http://arxiv.org/abs/2107.06259v1
• [cs.HC]ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students
Shruti Priya, Shubhankar Bhadra, Sridhar Chimalakonda
http://arxiv.org/abs/2107.06206v1
• [cs.IR]Asking Clarifying Questions Based on Negative Feedback in Conversational Search
Keping Bi, Qingyao Ai, W. Bruce Croft
http://arxiv.org/abs/2107.05760v1
• [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/2107.05722v1
• [cs.IR]SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking
Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant
http://arxiv.org/abs/2107.05720v1
• [cs.IT]Deterministic Identification Over Poisson Channels
Mohammad J. Salariseddigh, Uzi Pereg, Holger Boche, Christian Deppe, Robert Schober
http://arxiv.org/abs/2107.06061v1
• [cs.IT]Efficient Belief Propagation List Ordered Statistics Decoding of Polar Codes
Yonatan Urman, Guy Mogilevsky, David Burshtein
http://arxiv.org/abs/2107.05965v1
• [cs.IT]Fast approximations of the Jeffreys divergence between univariate Gaussian mixture models via exponential polynomial densities
Frank Nielsen
http://arxiv.org/abs/2107.05901v1
• [cs.IT]Linear and Reed Solomon Codes Against Adversarial Insertions and Deletions
Roni Con, Amir Shpilka, Itzhak Tamo
http://arxiv.org/abs/2107.05699v1
• [cs.IT]Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution
Kadir Gümüs, Laurent Schmalen
http://arxiv.org/abs/2107.06242v1
• [cs.IT]Primitive Rateless Codes
Mahyar Shirvanimoghaddam
http://arxiv.org/abs/2107.05774v1
• [cs.IT]Secure Short-Packet Communications at the Physical Layer for 5G and Beyond
Chen Feng, Hui-ming Wang
http://arxiv.org/abs/2107.05966v1
• [cs.LG]A Closer Look at the Adversarial Robustness of Information Bottleneck Models
Iryna Korshunova, David Stutz, Alexander A. Alemi, Olivia Wiles, Sven Gowal
http://arxiv.org/abs/2107.05712v1
• [cs.LG]A Deep Generative Artificial Intelligence system to decipher species coexistence patterns
J. Hirn, J. E. García, A. Montesinos-Navarro, R. Sanchez-Martín, V. Sanz, M. Verdú
http://arxiv.org/abs/2107.06020v1
• [cs.LG]A Graph Data Augmentation Strategy with Entropy Preserving
Xue Liu, Dan Sun, Wei Wei
http://arxiv.org/abs/2107.06048v1
• [cs.LG]A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments
Kenneth Bogert, Prashant Doshi
http://arxiv.org/abs/2107.05818v1
• [cs.LG]Adapting to Misspecification in Contextual Bandits
Dylan J. Foster, Claudio Gentile, Mehryar Mohri, Julian Zimmert
http://arxiv.org/abs/2107.05745v1
• [cs.LG]Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
Alexander Scheinker
http://arxiv.org/abs/2107.06207v1
• [cs.LG]AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training
Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He
http://arxiv.org/abs/2107.05804v1
• [cs.LG]Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
http://arxiv.org/abs/2107.05884v1
• [cs.LG]AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data
Han Yuan, Feng Xie, Marcus Eng Hock Ong, Yilin Ning, Marcel Lucas Chee, Seyed Ehsan Saffari, Hairil Rizal Abdullah, Benjamin Alan Goldstein, Bibhas Chakraborty, Nan Liu
http://arxiv.org/abs/2107.06039v1
• [cs.LG]Automated Learning Rate Scheduler for Large-batch Training
Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim
http://arxiv.org/abs/2107.05855v1
• [cs.LG]Calibrated Uncertainty for Molecular Property Prediction using Ensembles of Message Passing Neural Networks
Jonas Busk, Peter Bjørn Jørgensen, Arghya Bhowmik, Mikkel N. Schmidt, Ole Winther, Tejs Vegge
http://arxiv.org/abs/2107.06068v1
• [cs.LG]Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
Yang Liu, Jialu Wang
http://arxiv.org/abs/2107.05913v1
• [cs.LG]Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning
Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
http://arxiv.org/abs/2107.05798v1
• [cs.LG]Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
http://arxiv.org/abs/2107.05768v1
• [cs.LG]Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani
http://arxiv.org/abs/2107.06106v1
• [cs.LG]Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors
M. Ben Amor, J. Stier, M. Granitzer
http://arxiv.org/abs/2107.06158v1
• [cs.LG]DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
Umang Bhatt, Isabel Chien, Muhammad Bilal Zafar, Adrian Weller
http://arxiv.org/abs/2107.05978v1
• [cs.LG]Data-Driven Low-Rank Neural Network Compression
Dimitris Papadimitriou, Swayambhoo Jain
http://arxiv.org/abs/2107.05787v1
• [cs.LG]Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey
Marwan Dhuheir, Abdullatif Albaseer, Emna Baccour, Aiman Erbad, Mohamed Abdallah, Mounir Hamdi
http://arxiv.org/abs/2107.05989v1
• [cs.LG]Fast-Slow Streamflow Model Using Mass-Conserving LSTM
Miguel Paredes Quiñones, Maciel Zortea, Leonardo S. A. Martins
http://arxiv.org/abs/2107.06057v1
• [cs.LG]Fine-Grained AutoAugmentation for Multi-Label Classification
Ya Wang, Hesen Chen, Fangyi Zhang, Yaohua Wang, Xiuyu Sun, Ming Lin, Hao Li
http://arxiv.org/abs/2107.05384v2
• [cs.LG]Generative Adversarial Learning via Kernel Density Discrimination
Abdelhak Lemkhenter, Adam Bielski, Alp Eren Sari, Paolo Favaro
http://arxiv.org/abs/2107.06197v1
• [cs.LG]Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
Arda Sahiner, Tolga Ergen, Batu Ozturkler, Burak Bartan, John Pauly, Morteza Mardani, Mert Pilanci
http://arxiv.org/abs/2107.05680v1
• [cs.LG]How many degrees of freedom do we need to train deep networks: a loss landscape perspective
Brett W. Larsen, Stanislav Fort, Nic Becker, Surya Ganguli
http://arxiv.org/abs/2107.05802v1
• [cs.LG]Identification of Dynamical Systems using Symbolic Regression
Gabriel Kronberger, Lukas Kammerer, Michael Kommenda
http://arxiv.org/abs/2107.06131v1
• [cs.LG]Induced Domain Adaptation
Yang Liu, Yatong Chen, Jiaheng Wei
http://arxiv.org/abs/2107.05911v1
• [cs.LG]Kernel Continual Learning
Mohammad Mahdi Derakhshani, Xiantong Zhen, Ling Shao, Cees G. M. Snoek
http://arxiv.org/abs/2107.05757v1
• [cs.LG]Least-Squares Linear Dilation-Erosion Regressor Trained using Stochastic Descent Gradient or the Difference of Convex Methods
Angelica Lourenço Oliveira, Marcos Eduardo Valle
http://arxiv.org/abs/2107.05682v1
• [cs.LG]Multi-Scale Label Relation Learning for Multi-Label Classification Using 1-Dimensional Convolutional Neural Networks
Junhyung Kim, Byungyoon Park, Charmgil Hong
http://arxiv.org/abs/2107.05941v1
• [cs.LG]No Regrets for Learning the Prior in Bandits
Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvári
http://arxiv.org/abs/2107.06196v1
• [cs.LG]On Choice of Hyper-parameter in Extreme Value Theory based on Machine Learning Techniques
Chikara Nakamura
http://arxiv.org/abs/2107.06074v1
• [cs.LG]On Designing Good Representation Learning Models
Qinglin Li, Bin Li, Jonathan M Garibaldi, Guoping Qiu
http://arxiv.org/abs/2107.05948v1
• [cs.LG]Pessimistic Model-based Offline RL: PAC Bounds and Posterior Sampling under Partial Coverage
Masatoshi Uehara, Wen Sun
http://arxiv.org/abs/2107.06226v1
• [cs.LG]Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, Stefan Bauer
http://arxiv.org/abs/2107.05686v1
• [cs.LG]Scalable, Axiomatic Explanations of Deep Alzheimer’s Diagnosis from Heterogeneous Data
Sebastian Pölsterl, Christina Aigner, Christian Wachinger
http://arxiv.org/abs/2107.05997v1
• [cs.LG]Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting
Florian Ziel
http://arxiv.org/abs/2107.06268v1
• [cs.LG]SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks
Timoleon Moraitis, Dmitry Toichkin, Yansong Chua, Qinghai Guo
http://arxiv.org/abs/2107.05747v1
• [cs.LG]Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
Keegan Harris, Daniel Ngo, Logan Stapleton, Hoda Heidari, Zhiwei Steven Wu
http://arxiv.org/abs/2107.05762v1
• [cs.LG]Stress Classification and Personalization: Getting the most out of the least
Ramesh Kumar Sah, Hassan Ghasemzadeh
http://arxiv.org/abs/2107.05666v1
• [cs.LG]Towards Representation Identical Privacy-Preserving Graph Neural Network via Split Learning
Chuanqiang Shan, Huiyun Jiao, Jie Fu
http://arxiv.org/abs/2107.05917v1
• [cs.LG]Transfer Learning in Multi-Agent Reinforcement Learning with Double Q-Networks for Distributed Resource Sharing in V2X Communication
Hammad Zafar, Zoran Utkovski, Martin Kasparick, Slawomir Stanczak
http://arxiv.org/abs/2107.06195v1
• [cs.LG]What classifiers know what they don’t?
Mohamed Ishmael Belghazi, David Lopez-Paz
http://arxiv.org/abs/2107.06217v1
• [cs.LG]Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh, Jad Rahme, Aviral Kumar, Amy Zhang, Ryan P. Adams, Sergey Levine
http://arxiv.org/abs/2107.06277v1
• [cs.NE]An active dendritic tree can mitigate fan-in limitations in superconducting neurons
Bryce A. Primavera, Jeffrey M. Shainline
http://arxiv.org/abs/2107.05777v1
• [cs.NI]Toward Efficient Transfer Learning in 6G
Saeedeh Parsaeefard, Alberto Leon-Garcia
http://arxiv.org/abs/2107.05728v1
• [cs.RO]A Novel Dual Quaternion Based Dynamic Motion Primitives for Acrobatic Flight
Renshan Zhang, Yongyang Hu, Kuang Zhao, Su Cao
http://arxiv.org/abs/2107.06116v1
• [cs.RO]Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Critic
Behrad Toghi, Rodolfo Valiente, Dorsa Sadigh, Ramtin Pedarsani, Yaser P. Fallah
http://arxiv.org/abs/2107.05664v1
• [cs.RO]Anomaly Detection in Smart Manufacturing with an Application Focus on Robotic Finishing Systems: A Review
Tareq Tayeh, Abdallah Shami
http://arxiv.org/abs/2107.05053v2
• [cs.RO]DefGraspSim: Simulation-based grasping of 3D deformable objects
Isabella Huang, Yashraj Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Tucker Hermans, Dieter Fox
http://arxiv.org/abs/2107.05778v1
• [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/2107.06140v1
• [cs.RO]Evaluation of an Inflated Beam Model Applied to Everted Tubes
Joel Hwee, Andrew Lewis, Allison Raines, Blake Hannaford
http://arxiv.org/abs/2107.05748v1
• [cs.RO]Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities
Shivin Devgon, Jeffrey Ichnowski, Michael Danielczuk, Daniel S. Brown, Ashwin Balakrishna, Shirin Joshi, Eduardo M. C. Rocha, Eugen Solowjow, Ken Goldberg
http://arxiv.org/abs/2107.05789v1
• [cs.RO]Motion Planning by Learning the Solution Manifold in Trajectory Optimization
Takayuki Osa
http://arxiv.org/abs/2107.05842v1
• [cs.RO]Motion-Aware Robotic 3D Ultrasound
Zhongliang Jiang, Hanyu Wang, Zhenyu Li, Matthias Grimm, Mingchuan Zhou, Ulrich Eck, Sandra V. Brecht, Tim C. Lueth, Thomas Wendler, Nassir Navab
http://arxiv.org/abs/2107.05998v1
• [cs.RO]Multi-Objective Graph Heuristic Search for Terrestrial Robot Design
Jie Xu, Andrew Spielberg, Allan Zhao, Daniela Rus, Wojciech Matusik
http://arxiv.org/abs/2107.05858v1
• [cs.RO]OpenCDA:An Open Cooperative Driving Automation FrameworkIntegrated with Co-Simulation
Runsheng Xu, Yi Guo, Xu Han, Xin Xia, Hao Xiang, Jiaqi Ma
http://arxiv.org/abs/2107.06260v1
• [cs.RO]Precise Visual-Inertial Localization for UAV with the Aid of A 2D Georeferenced Map
Jun Mao, Lilian Zhang, Xiaofeng He, Hao Qu, Xiaoping Hu
http://arxiv.org/abs/2107.05851v1
• [cs.RO]Safety and progress proofs for a reactive planner and controller for autonomous driving
Abolfazl Karimi, Manish Goyal, Parasara Sridhar Duggirala
http://arxiv.org/abs/2107.05815v1
• [cs.SD]Codified audio language modeling learns useful representations for music information retrieval
Rodrigo Castellon, Chris Donahue, Percy Liang
http://arxiv.org/abs/2107.05677v1
• [cs.SD]Conformer-based End-to-end Speech Recognition With Rotary Position Embedding
Shengqiang Li, Menglong Xu, Xiao-Lei Zhang
http://arxiv.org/abs/2107.05907v1
• [cs.SD]The Piano Inpainting Application
Gaëtan Hadjeres, Léopold Crestel
http://arxiv.org/abs/2107.05944v1
• [cs.SD]Timbre Classification of Musical Instruments with a Deep Learning Multi-Head Attention-Based Model
Carlos Hernandez-Olivan, Jose R. Beltran
http://arxiv.org/abs/2107.06231v1
• [cs.SD]Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian McAuley
http://arxiv.org/abs/2107.05916v1
• [cs.SE]Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, Michael R. Lyu
http://arxiv.org/abs/2107.05908v1
• [cs.SE]On the Evaluation of Commit Message Generation Models: An Experimental Study
Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang
http://arxiv.org/abs/2107.05373v2
• [cs.SI]8000
Tales of a City: Sentiment Analysis of Urban Green Space in Dublin
Mohammadhossein Ghahramani, Nadina Galle, Carlo Ratti, Francesco Pilla
http://arxiv.org/abs/2107.06041v1
• [cs.SI]Blending search queries with social media data to improve forecasts of economic indicators
Yi Li, Asieh Ahani, Haimao Zhan, Kevin Foley, Thayer Alshaabi, Kelsey Linnell, Peter Sheridan Dodds, Christopher M. Danforth, Adam Fox
http://arxiv.org/abs/2107.06096v1
• [cs.SI]Co-evolution of Opinion and Social Tie Dynamics Towards Structural Balance
Haotian Wang, Feng Luo, Jie Gao
http://arxiv.org/abs/2107.05796v1
• [cs.SI]Detecting Ideal Instagram Influencer Using Social Network Analysis
M. M. H Dihyat, K Malik, M. A Khan, B Imran
http://arxiv.org/abs/2107.05731v1
• [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/2107.05992v1
• [econ.EM]Inference on Individual Treatment Effects in Nonseparable Triangular Models
Jun Ma, Vadim Marmer, Zhengfei Yu
http://arxiv.org/abs/2107.05559v2
• [econ.EM]MinP Score Tests with an Inequality Constrained Parameter Space
Giuseppe Cavaliere, Zeng-Hua Lu, Anders Rahbek, Yuhong Yang
http://arxiv.org/abs/2107.06089v1
• [eess.AS]A Configurable Multilingual Model is All You Need to Recognize All Languages
Long Zhou, Jinyu Li, Eric Sun, Shujie Liu
http://arxiv.org/abs/2107.05876v1
• [eess.IV]Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms
Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna
http://arxiv.org/abs/2107.06276v1
• [eess.IV]Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau
http://arxiv.org/abs/2107.06211v1
• [eess.IV]Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger
http://arxiv.org/abs/2107.05990v1
• [eess.IV]Detecting when pre-trained nnU-Net models fail silently for Covid-19
Camila Gonzalez, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
http://arxiv.org/abs/2107.05975v1
• [eess.SP]A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization
Zhenning Li, Chengzhong Xu, Guohui Zhang
http://arxiv.org/abs/2107.06115v1
• [eess.SP]Learning based E2E Energy Efficient in Joint Radio and NFV Resource Allocation for 5G and Beyond Networks
Narges Gholipoor, Ali Nouruzi, Shima Salarhosseini, Mohammad Reza Javan, Nader Mokari, Eduard A. Jorswieck
http://arxiv.org/abs/2107.05991v1
• [eess.SP]Quality of Service Guarantees for Physical Unclonable Functions
Onur Günlü, Rafael F. Schaefer, H. Vincent Poor
http://arxiv.org/abs/2107.05675v1
• [eess.SY]Design of a Smooth Landing Trajectory Tracking System for a Fixed-wing Aircraft
Solomon Gudeta, Ali Karimoddini
http://arxiv.org/abs/2107.05803v1
• [eess.SY]Reinforcement Learning based Proactive Control for Transmission Grid Resilience to Wildfire
Salah U. Kadir, Subir Majumder, Ajay D. Chhokra, Abhishek Dubey, Himanshu Neema, Aron Laszka, Anurag K. Srivastava
http://arxiv.org/abs/2107.05756v1
• [math.NA]Computational modelling and data-driven homogenisation of knitted membranes
Sumudu Herath, Xiao Xiao, Fehmi Cirak
http://arxiv.org/abs/2107.05707v1
• [math.OC]Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
Hartmut Bauermeister, Emanuel Laude, Thomas Möllenhoff, Michael Moeller, Daniel Cremers
http://arxiv.org/abs/2107.06028v1
• [math.OC]One-Point Gradient-Free Methods for Composite Optimization with Applications to Distributed Optimization
Ivan Stepanov, Artyom Voronov, Aleksandr Beznosikov, Alexander Gasnikov
http://arxiv.org/abs/2107.05951v1
• [math.ST]Convergence rates vector-valued local polynomial regression
Yariv Aizenbud, Barak Sober
http://arxiv.org/abs/2107.05852v1
• [math.ST]Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations
Xin Bing, Florentina Bunea, Seth Strimas-Mackey, Marten Wegkamp
http://arxiv.org/abs/2107.05766v1
• [math.ST]Two Sample Test for Extrinsic Antimeans on Planar Kendall Shape Spaces with an Application to Medical Imaging
Aaid Algahtani, Vic Patrangenaru
http://arxiv.org/abs/2107.04230v2
• [physics.soc-ph]Analytical approach to the generalized friendship paradox in networks with correlated attributes
Hang-Hyun Jo, Eun Lee, Young-Ho Eom
http://arxiv.org/abs/2107.05838v1
• [physics.soc-ph]Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network
Gavin S. Hartnett, Edward Parker, Timothy R. Gulden, Raffaele Vardavas, David Kravitz
http://arxiv.org/abs/2107.06213v1
• [q-bio.PE]The Fundamental Theorem of Natural Selection
John C. Baez
http://arxiv.org/abs/2107.05610v2
• [stat.AP]Effects of personality traits in predicting grade retention of Brazilian students
Carmen Melo Toledo, Guilherme Mendes Bassedon, Jonathan Batista Ferreira, Lucka de Godoy Gianvechio, Carlos Guatimosim, Felipe Maia Polo, Renato Vicente
http://arxiv.org/abs/2107.05767v1
• [stat.AP]Impact of heat waves and cold spells on cause-specific mortality in the city of Sao Paulo, Brazil
Sara Lopes de Moraes, Ricardo Almendra, Ligia Vizeu Barrozo
http://arxiv.org/abs/2107.06223v1
• [stat.AP]Outcome-guided Bayesian Clustering for Disease Subtype Discovery Using High-dimensional Transcriptomic Data
Lingsong Meng, Zhiguang Huo
http://arxiv.org/abs/2107.05933v1
• [stat.CO]IID Sampling from Intractable Distributions
Sourabh Bhattacharya
http://arxiv.org/abs/2107.05956v1
• [stat.CO]Optimal projection to improve parametric importance sampling in high dimension
Maxime ElMasri, Jérôme Morio, Florian Simatos
http://arxiv.org/abs/2107.06091v1
• [stat.ME]Assessment of Immune Correlates of Protection via Controlled Vaccine Efficacy and Controlled Risk
Peter B. Gilbert, Youyi Fong, Marco Carone
http://arxiv.org/abs/2107.05734v1
• [stat.ME]Cauchy Combination Test for Sparse Signals
Mingya Long, Zhengbang Li, Wei Zhang, Qizhai Li*
http://arxiv.org/abs/2107.06040v1
• [stat.ME]GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments
Ting Ye, Zhonghua Liu, Baoluo Sun, Eric Tchetgen Tchetgen
http://arxiv.org/abs/2107.06238v1
• [stat.ME]Gaussian process interpolation: the choice of the family of models is more important than that of the selection criterion
Sébastien Petit, Julien Bect, Paul Feliot, Emmanuel Vazquez
http://arxiv.org/abs/2107.06006v1
• [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/2107.05915v1
• [stat.ME]Heterogeneous Effects in the Built Environment
Adam Peterson, Emma Sanchez-Vaznaugh, Brisa Sanchez
http://arxiv.org/abs/2107.05805v1
• [stat.ME]Latent Transport Models for Multivariate Functional Data
Cody Carroll, Hans-Georg Müller
http://arxiv.org/abs/2107.05730v1
• [stat.ME]On doubly robust inference for double machine learning
Oliver Dukes, Stijn Vansteelandt, David Whitney
http://arxiv.org/abs/2107.06124v1
• [stat.ML]Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Shengjia Zhao, Michael P. Kim, Roshni Sahoo, Tengyu Ma, Stefano Ermon
http://arxiv.org/abs/2107.05719v1
• [stat.ML]Deep Autoregressive Models with Spectral Attention
Fernando Moreno-Pino, Pablo M. Olmos, Antonio Artés-Rodríguez
http://arxiv.org/abs/2107.05984v1
• [stat.ML]Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer
http://arxiv.org/abs/2107.05847v1
• [stat.ML]Model Selection with Near Optimal Rates for Reinforcement Learning with General Model Classes
Avishek Ghosh, Sayak Ray Chowdhury, Kannan Ramchandran
http://arxiv.org/abs/2107.05849v1
• [stat.ML]Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
Jingyi Zhang, Xiaoxiao Sun
http://arxiv.org/abs/2107.05834v1
• [stat.ML]Wasserstein GAN: Deep Generation applied on Bitcoins financial time series
Rikli Samuel, Bigler Daniel Nico, Pfenninger Moritz, Osterrieder Joerg
http://arxiv.org/abs/2107.06008v1
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