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.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GR - 计算机图形学
cs.GT - 计算机科学与博弈论
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.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
eess.IV - 图像与视频处理
eess.SY - 系统和控制
math.CO - 组合数学
math.DS - 动力系统
math.NA - 数值分析
math.PR - 概率
math.ST - 统计理论
physics.chem-ph -化学物理
q-bio.GN - 基因组学
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
q-fin.MF - 数学金融
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cs.AI]Abstractive Sentence Summarization with Guidance of Selective Multimodal Reference
• [cs.AI]Approximating Defeasible Logics to Improve Scalability
• [cs.AI]Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
• [cs.AI]Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm
• [cs.AI]Intelligence as information processing: brains, swarms, and computers
• [cs.AI]Knowledge-Based Stable Roommates Problem: A Real-World Application
• [cs.AI]Matching Algorithms for Blood Donation
• [cs.AI]On the Explanatory Power of Decision Trees
• [cs.AI]Snakes AI Competition 2020 and 2021 Report
• [cs.AI]Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods
• [cs.AI]TrUMAn: Trope Understanding in Movies and Animations
• [cs.AI]Trading Complexity for Sparsity in Random Forest Explanations
• [cs.CL]A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
• [cs.CL]A Transformer-based Math Language Model for Handwritten Math Expression Recognition
• [cs.CL]DEMix Layers: Disentangling Domains for Modular Language Modeling
• [cs.CL]DeliData: A dataset for deliberation in multi-party problem solving
• [cs.CL]Icelandic Parallel Abstracts Corpus
• [cs.CL]PGCD: a position-guied contributive distribution unit for aspect based sentiment analysis
• [cs.CL]Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
• [cs.CL]Post-hoc Interpretability for Neural NLP: A Survey
• [cs.CR]SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
• [cs.CR]Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack
• [cs.CV]A Better Loss for Visual-Textual Grounding
• [cs.CV]A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
• [cs.CV]An Image-based Generator Architecture for Synthetic Image Refinement
• [cs.CV]AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person
• [cs.CV]Automatic Polyp Segmentation via Multi-scale Subtraction Network
• [cs.CV]BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
• [cs.CV]Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
• [cs.CV]CPNet: Cross-Parallel Network for Efficient Anomaly Detection
• [cs.CV]Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning
• [cs.CV]ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
• [cs.CV]Deep Learning Classification of Lake Zooplankton
• [cs.CV]Discriminative Distillation to Reduce Class Confusion in Continual Learning
• [cs.CV]Domain-Aware Universal Style Transfer
• [cs.CV]Efficient Surfel Fusion Using Normalised Information Distance
• [cs.CV]Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
• [cs.CV]Exploiting Features with Split-and-Share Module
• [cs.CV]FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
• [cs.CV]FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
• [cs.CV]Few-Shot Segmentation with Global and Local Contrastive Learning
• [cs.CV]First Order Locally Orderless Registration
• [cs.CV]Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
• [cs.CV]Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
• [cs.CV]How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
• [cs.CV]Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
• [cs.CV]Instance-weighted Central Similarity for Multi-label Image Retrieval
• [cs.CV]Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
• [cs.CV]Interpreting Generative Adversarial Networks for Interactive Image Generation
• [cs.CV]Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
• [cs.CV]Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
• [cs.CV]Learning Fair Face Representation With Progressive Cross Transformer
• [cs.CV]Learning Oculomotor Behaviors from Scanpath
• [cs.CV]Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
• [cs.CV]M3D-VTON: A Monocular-to-3D Virtual Try-On Network
• [cs.CV]Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
• [cs.CV]MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
• [cs.CV]Method Towards CVPR 2021 Image Matching Challenge
• [cs.CV]Method Towards CVPR 2021 SimLocMatch Challenge
• [cs.CV]Mining the Benefits of Two-stage and One-stage HOI Detection
• [cs.CV]Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering
• [cs.CV]Multi-Camera Trajectory Forecasting with Trajectory Tensors
• [cs.CV]Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
• [cs.CV]MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach
• [cs.CV]Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
• [cs.CV]NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
• [cs.CV]On the Effect of Pruning on Adversarial Robustness
• [cs.CV]Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
• [cs.CV]Person Re-identification via Attention Pyramid
• [cs.CV]ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study
• [cs.CV]Prototype Completion for Few-Shot Learning
• [cs.CV]Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
• [cs.CV]Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
• [cs.CV]Rethinking Coarse-to-Fine Approach in Single Image Deblurring
• [cs.CV]Semi-Supervised Domain Generalizable Person Re-Identification
• [cs.CV]Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
• [cs.CV]Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
• [cs.CV]Towards Interpretable Deep Networks for Monocular Depth Estimation
• [cs.CV]Towards Top-Down Just Noticeable Difference Estimation of Natural Images
• [cs.CV]Two is a crowd: tracking relations in videos
• [cs.CV]Video Transformer for Deepfake Detection with Incremental Learning
• [cs.CV]VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
• [cs.CV]Zero-Shot Domain Adaptation with a Physics Prior
• [cs.CY]An examination of skill requirements for Augmented Reality and Virtual Reality job advertisements
• [cs.CY]Decentralised Trust for the Digital Economy
• [cs.DB]PLEX: Towards Practical Learned Indexing
• [cs.DB]Parallel algorithms for mining of frequent itemsets
• [cs.DC]A Limitlessly Scalable Transaction System
• [cs.DS]Statistical Inference in the Differential Privacy Model
• [cs.GR]Differentiable Surface Rendering via Non-Differentiable Sampling
• [cs.GT]Composing games into complex institutions
• [cs.IR]Are Neural Ranking Models Robust?
• [cs.IR]Deep Pairwise Learning To Rank For Search Autocomplete
• [cs.IR]Estimation of Fair Ranking Metrics with Incomplete Judgments
• [cs.IR]FedMatch: Federated Learning Over Heterogeneous Question Answering Data
• [cs.IR]Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
• [cs.IR]Overview of the TREC 2020 Fair Ranking Track
• [cs.IR]Retrieval & Interaction Machine for Tabular Data Prediction
• [cs.IR]ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
• [cs.IT]Group LCD and Group Reversible LCD Codes
• [cs.IT]Shannon capacity, Chess, DNA and Umbrellas
• [cs.IT]Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Solutions
• [cs.IT]Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks
• [cs.LG]ABC-FL: Anomalous and Benign client Classification in Federated Learning
• [cs.LG]AdaRNN: Adaptive Learning and Forecasting of Time Series
• [cs.LG]Adaptive Multi-Resolution Attention with Linear Complexity
• [cs.LG]Analysis of ODE2VAE with Examples
• [cs.LG]Attention-like feature explanation for tabular data
• [cs.LG]Causal Order Identification to Address Confounding: Binary Variables
• [cs.LG]Cooperative Learning for Noisy Supervision
• [cs.LG]Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques
• [cs.LG]EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
• [cs.LG]Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
• [cs.LG]Fairness Through Counterfactual Utilities
• [cs.LG]Flow-based SVDD for anomaly detection
• [cs.LG]Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning
• [cs.LG]LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
• [cs.LG]Logic Explained Networks
• [cs.LG]Machine Learning Model Drift Detection Via Weak Data Slices
• [cs.LG]Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
• [cs.LG]Putting RDF2vec in Order
• [cs.LG]Retiring Adult: New Datasets for Fair Machine Learning
• [cs.LG]Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
• [cs.LG]Towards data-driven filters in Paraview
• [cs.LG]Truncated Emphatic Temporal Difference Methods for Prediction and Control
• [cs.LG]Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks
• [cs.NE]Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation
• [cs.RO]An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control
• [cs.RO]AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection
• [cs.RO]Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
• [cs.RO]DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
• [cs.RO]Elastic Tactile Simulation Towards Tactile-Visual Perception
• [cs.RO]Estimation and Navigation Methods with Limited Information for Autonomous Urban Driving
• [cs.RO]Mathematical modelling and virtual decomposition control of heavy-duty parallelserial hydraulic manipulators
• [cs.RO]Minimization of GNSS-Denied Inertial Navigation Errors for Fixed Wing Autonomous Unmanned Air Vehicles
• [cs.RO]Organization and Understanding of a Tactile Information Dataset TacAct During Physical Human-Robot Interactions
• [cs.RO]Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints
• [cs.RO]Road Mapping and Localization using Sparse Semantic Visual Features
• [cs.SD]Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention
• [cs.SD]Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification
• [cs.SD]Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
• [cs.SE]Natural Language-guided Programming
• [cs.SE]The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study
• [cs.SI]Effect of Key Match Events on Football Passmaps
• [cs.SI]Self-supervised Consensus Representation Learning for Attributed Graph
• [eess.IV]One-Sided Box Filter for Edge Preserving Image Smoothing
• [eess.SY]Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning?
• [eess.SY]Uniform Complete Observability of Mass and Rotational Inertial Parameters in Adaptive Identification of Rigid-Body Plant Dynamics
• [math.CO]Classification of arcs in #card=math&code=%5Coperatorname%7BPG%7D%283%2C5%29&id=sRg8m)
• [math.DS]Learning strange attractors with reservoir systems
• [math.NA]Convergence bounds for nonlinear least squares and applications to tensor recovery
• [math.PR]Best lower bound on the probability of a binomial exceeding its expectation
• [math.ST]Dispersal density estimation across scales
• [math.ST]Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
• [math.ST]Minimax and pointwise sequential changepoint detection and identification for general stochastic models
• [math.ST]Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems
• [math.ST]Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces
• [physics.chem-ph]Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
• [q-bio.GN]Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models
• [q-bio.NC]Using Information Theory to Measure Psychophysical Performance
• [q-bio.QM]A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
• [q-fin.MF]Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders
• [quant-ph]Optimal learning of quantum Hamiltonians from high-temperature Gibbs states
• [quant-ph]Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
• [stat.AP]A Puzzle of Proportions: Two Popular Bayesian Tests Can Yield Dramatically Different Conclusions
• [stat.AP]Repeated undersampling in PrInDT (RePrInDT): Variation in undersampling and prediction, and ranking of predictors in ensembles
• [stat.AP]The Effect of Autocorrelation on the Shewhart-RZ Control Chart
• [stat.ME]Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model
• [stat.ME]Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality
• [stat.ME]Bayesian functional graphical models
• [stat.ME]Bayesian local exchangeability design for phase II basket trials
• [stat.ME]Controlling the False Split Rate in Tree-Based Aggregation
• [stat.ME]Design-based composite estimation rediscovered
• [stat.ME]Estimating Causal Effects of Non-Randomized HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs
• [stat.ME]Heywood cases in unidimensional factor models and item response models for binary data
• [stat.ME]Multiway empirical likelihood
• [stat.ME]On the Distinction Between “Conditional Average Treatment Effects” (CATE) and “Individual Treatment Effects” (ITE) Under Ignorability Assumptions
• [stat.ME]Rank Energy Statistics in the Context of Change Point Detection
• [stat.ME]Robust posterior inference for Youden’s index cutoff
• [stat.ML]Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction
• [stat.ML]Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay
·····································
• [cs.AI]Abstractive Sentence Summarization with Guidance of Selective Multimodal Reference
Zijian Zhang, Chenxi Zhang, Qinpei Zhao, Jiangfeng Li
http://arxiv.org/abs/2108.05123v1
• [cs.AI]Approximating Defeasible Logics to Improve Scalability
Michael J. Maher
http://arxiv.org/abs/2108.05232v1
• [cs.AI]Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
Xin Mao, Wenting Wang, Yuanbin Wu, Man Lan
http://arxiv.org/abs/2108.05278v1
• [cs.AI]Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm
Wen-ming Zhang, Zhi-wei Wang, Dan-dian Feng, Zhao Liu
http://arxiv.org/abs/2108.05020v1
• [cs.AI]Intelligence as information processing: brains, swarms, and computers
Carlos Gershenson
http://arxiv.org/abs/2108.05349v1
• [cs.AI]Knowledge-Based Stable Roommates Problem: A Real-World Application
Muge Fidan, Esra Erdem
http://arxiv.org/abs/2108.04940v1
• [cs.AI]Matching Algorithms for Blood Donation
Duncan C McElfresh, Christian Kroer, Sergey Pupyrev, Eric Sodomka, Karthik Sankararaman, Zack Chauvin, Neil Dexter, John P Dickerson
http://arxiv.org/abs/2108.04862v1
• [cs.AI]On the Explanatory Power of Decision Trees
Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis
http://arxiv.org/abs/2108.05266v1
• [cs.AI]Snakes AI Competition 2020 and 2021 Report
Joseph Alexander Brown, Luiz Jonata Pires de Araujo, Alexandr Grichshenko
http://arxiv.org/abs/rg/abs/2108.05136v1
• [cs.AI]Stable Marriage Problems with Ties and Incomplete Preferences: An Empirical Comparison of ASP, SAT, ILP, CP, and Local Search Methods
Ahmet Alkan, Baturay Yilmaz, Berkan Teber, Esra Erdem, Ilayda Begum Izci, Muge Fidan, Selin Eyupoglu, Yavuz Gulesen
http://arxiv.org/abs/2108.05165v1
• [cs.AI]TrUMAn: Trope Understanding in Movies and Animations
Hung-Ting Su, Po-Wei Shen, Bing-Chen Tsai, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu
http://arxiv.org/abs/2108.04542v2
• [cs.AI]Trading Complexity for Sparsity in Random Forest Explanations
Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis
http://arxiv.org/abs/2108.05276v1
• [cs.CL]A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
Zehao Yu, Xi Yang, Chong Dang, Songzi Wu, Prakash Adekkanattu, Jyotishman Pathak, Thomas J. George, William R. Hogan, Yi Guo, Jiang Bian, Yonghui Wu
http://arxiv.org/abs/2108.04949v1
• [cs.CL]A Transformer-based Math Language Model for Handwritten Math Expression Recognition
Huy Quang Ung, Cuong Tuan Nguyen, Hung Tuan Nguyen, Thanh-Nghia Truong, Masaki Nakagawa
http://arxiv.org/abs/2108.05002v1
• [cs.CL]DEMix Layers: Disentangling Domains for Modular Language Modeling
Suchin Gururangan, Mike Lewis, Ari Holtzman, Noah A. Smith, Luke Zettlemoyer
http://arxiv.org/abs/2108.05036v1
• [cs.CL]DeliData: A dataset for deliberation in multi-party problem solving
Georgi Karadzhov, Tom Stafford, Andreas Vlachos
http://arxiv.org/abs/2108.05271v1
• [cs.CL]Icelandic Parallel Abstracts Corpus
Haukur Barri Símonarson, Vésteinn Snæbjarnarson
http://arxiv.org/abs/2108.05289v1
• [cs.CL]PGCD: a position-guied contributive distribution unit for aspect based sentiment analysis
Zijian Zhang, Chenxin Zhang, Qin Liu, Hongming Zhu, Jiangfeng Li
http://arxiv.org/abs/2108.05098v1
• [cs.CL]Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
http://arxiv.org/abs/2108.04990v1
• [cs.CL]Post-hoc Interpretability for Neural NLP: A Survey
Andreas Madsen, Siva Reddy, Sarath Chandar
http://arxiv.org/abs/2108.04840v1
• [cs.CR]SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version)
Nils Lukas, Edward Jiang, Xinda Li, Florian Kerschbaum
http://arxiv.org/abs/2108.04974v1
• [cs.CR]Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack
Zitao Chen, Pritam Dash, Karthik Pattabiraman
http://arxiv.org/abs/2108.05075v1
• [cs.CV]A Better Loss for Visual-Textual Grounding
Davide Rigoni, Luciano Serafini, Alessandro Sperduti
http://arxiv.org/abs/2108.05308v1
• [cs.CV]A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
Davide Menini, Suryansh Kumar, Martin R. Oswald, Erik Sandstrom, Cristian Sminchisescu, Luc Van Gool
http://arxiv.org/abs/2108.05246v1
• [cs.CV]An Image-based Generator Architecture for Synthetic Image Refinement
Alex Nasser
http://arxiv.org/abs/2108.04957v1
• [cs.CV]AnyoneNet: Synchronized Speech and Talking Head Generation for Arbitrary Person
Xinsheng Wang, Qicong Xie, Jihua Zhu, Lei Xie, Scharenborg
http://arxiv.org/abs/2108.04325v2
• [cs.CV]Automatic Polyp Segmentation via Multi-scale Subtraction Network
Xiaoqi Zhao, Lihe Zhang, Huchuan Lu
http://arxiv.org/abs/2108.05082v1
• [cs.CV]BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis
Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C. -C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang
http://arxiv.org/abs/2108.04938v1
• [cs.CV]Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder
Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu
http://arxiv.org/abs/2108.05028v1
• [cs.CV]CPNet: Cross-Parallel Network for Efficient Anomaly Detection
Youngsaeng Jin, David Han, Hanseok Ko
http://arxiv.org/abs/2108.04454v2
• [cs.CV]Cervical Optical Coherence Tomography Image Classification Based on Contrastive Self-Supervised Texture Learning
Kaiyi Chen, Qingbin Wang, Yutao Ma
http://arxiv.org/abs/2108.05081v1
• [cs.CV]ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
http://arxiv.org/abs/2108.05305v1
• [cs.CV]Deep Learning Classification of Lake Zooplankton
S. P. Kyathanahally, T. Hardeman, E. Merz, T. Kozakiewicz, M. Reyes, P. Isles, F. Pomati, M. Baity-Jesi
http://arxiv.org/abs/2108.05258v1
• [cs.CV]Discriminative Distillation to Reduce Class Confusion in Continual Learning
Changhong Zhong, Zhiying Cui, Ruixuan Wang, Wei-Shi Zheng
http://arxiv.org/abs/2108.05187v1
• [cs.CV]Domain-Aware Universal Style Transfer
Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun
http://arxiv.org/abs/2108.04441v2
• [cs.CV]Efficient Surfel Fusion Using Normalised Information Distance
Louis Gallagher, John B. McDonald
http://arxiv.org/abs/2108.05163v1
• [cs.CV]Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion
Alessandro Suglia, Qiaozi Gao, Jesse Thomason, Govind Thattai, Gaurav Sukhatme
http://arxiv.org/abs/2108.04927v1
• [cs.CV]Exploiting Features with Split-and-Share Module
Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi
http://arxiv.org/abs/2108.04500v2
• [cs.CV]FLAME-in-NeRF : Neural control of Radiance Fields for Free View Face Animation
ShahRukh Athar, Zhixin Shu, Dimitris Samaras
http://arxiv.org/abs/2108.04913v1
• [cs.CV]FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
Hasam Khalid, Shahroz Tariq, Simon S. Woo
http://arxiv.org/abs/2108.05080v1
• [cs.CV]Few-Shot Segmentation with Global and Local Contrastive Learning
Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin
http://arxiv.org/abs/2108.05293v1
• [cs.CV]First Order Locally Orderless Registration
Sune Darkner, Jose D Tascon, Francois Lauze
http://arxiv.org/abs/2108.04926v1
• [cs.CV]Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool
http://arxiv.org/abs/2108.05249v1
• [cs.CV]Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/2108.05301v1
• [cs.CV]How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
Mahdi pourmirzaei, gholam ali montazer, farzaneh esmaili
http://arxiv.org/abs/2108.04893v1
• [cs.CV]Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning
Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown
http://arxiv.org/abs/2108.05251v1
• [cs.CV]Instance-weighted Central Similarity for Multi-label Image Retrieval
Zhiwei Zhang, Hanyu Peng, Hongsheng Li
http://arxiv.org/abs/2108.05274v1
• [cs.CV]Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li
http://arxiv.org/abs/2108.04547v2
• [cs.CV]Interpreting Generative Adversarial Networks for Interactive Image Generation
Bolei Zhou
http://arxiv.org/abs/2108.04896v1
• [cs.CV]Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization
Pilhyeon Lee, Hyeran Byun
http://arxiv.org/abs/2108.05029v1
• [cs.CV]Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion
Yikai Wang, Fuchun Sun, Ming Lu, Anbang Yao
http://arxiv.org/abs/2108.05009v1
• [cs.CV]Learning Fair Face Representation With Progressive Cross Transformer
Yong Li, Yufei Sun, Zhen Cui, Shiguang Shan, Jian Yang
http://arxiv.org/abs/2108.04983v1
• [cs.CV]Learning Oculomotor Behaviors from Scanpath
Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda Shapiro, Frederick Shic
http://arxiv.org/abs/2108.05025v1
• [cs.CV]Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation
Jianning Li, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jan Egger
http://arxiv.org/abs/2108.05269v1
• [cs.CV]M3D-VTON: A Monocular-to-3D Virtual Try-On Network
Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang
http://arxiv.org/abs/2108.05126v1
• [cs.CV]Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
Guangyi Liu, Yinghong Liao, Fuyu Wang, Bin Zhang, Lu Zhang, Xiaodan Liang, Xiang Wan, Shaolin Li, Zhen Li, Shuixing Zhang, Shuguang Cui
http://arxiv.org/abs/2108.05067v1
• [cs.CV]MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud
http://arxiv.org/abs/2108.04869v1
• [cs.CV]Method Towards CVPR 2021 Image Matching Challenge
Xiaopeng Bi, Yu Chen, Xinyang Liu, Dehao Zhang, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu
http://arxiv.org/abs/2108.04453v2
• [cs.CV]Method Towards CVPR 2021 SimLocMatch Challenge
Xiaopeng Bi, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu
http://arxiv.org/abs/2108.04466v2
• [cs.CV]Mining the Benefits of Two-stage and One-stage HOI Detection
Aixi Zhang, Yue Liao, Si Liu, Miao Lu, Yongliang Wang, Chen Gao, Xiaobo Li
http://arxiv.org/abs/2108.05077v1
• [cs.CV]Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering
Donggeon Lee, Seongho Choi, Youwon Jang, Byoung-Tak Zhang
http://arxiv.org/abs/2108.05158v1
• [cs.CV]Multi-Camera Trajectory Forecasting with Trajectory Tensors
Olly Styles, Tanaya Guha, Victor Sanchez
http://arxiv.org/abs/2
61a0
108.04694v1
61a0
108.04694v1)
• [cs.CV]Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
Xiaoqi Zhao, Youwei Pang, Jiaxing Yang, Lihe Zhang, Huchuan Lu
http://arxiv.org/abs/2108.05076v1
• [cs.CV]MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach
Falk Heuer, Sven Mantowsky, Syed Saqib Bukhari, Georg Schneider
http://arxiv.org/abs/2108.05060v1
• [cs.CV]Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/2108.05302v1
• [cs.CV]NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
Guangyi Xiao, Weiwei Xiang, Huan Liu, Hao Chen, Shun Peng, Jingzhi Guo, Zhiguo Gong
http://arxiv.org/abs/2108.05061v1
• [cs.CV]On the Effect of Pruning on Adversarial Robustness
Artur Jordao, Helio Pedrini
http://arxiv.org/abs/2108.04890v1
• [cs.CV]Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
Artem Razumov, Oleg Y. Rogov, Dmitry V. Dylov
http://arxiv.org/abs/2108.04914v1
• [cs.CV]Person Re-identification via Attention Pyramid
Guangyi Chen, Tianpei Gu, Jiwen Lu, Jin-An Bao, Jie Zhou
http://arxiv.org/abs/2108.05340v1
• [cs.CV]ProAI: An Efficient Embedded AI Hardware for Automotive Applications - a Benchmark Study
Sven Mantowsky, Falk Heuer, Syed Saqib Bukhari, Michael Keckeisen, Georg Schneider
http://arxiv.org/abs/2108.05170v1
• [cs.CV]Prototype Completion for Few-Shot Learning
Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng
http://arxiv.org/abs/2108.05010v1
• [cs.CV]Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition
Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan Kankanhalli
http://arxiv.org/abs/2108.04603v1
• [cs.CV]Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach
Aidan M. Swope, Xander H. Rudelis, Kyle T. Story
http://arxiv.org/abs/2108.05094v1
• [cs.CV]Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, Sung-Jea Ko
http://arxiv.org/abs/2108.05054v1
• [cs.CV]Semi-Supervised Domain Generalizable Person Re-Identification
Lingxiao He, Wu Liu, Jian Liang, Kecheng Zheng, Xingyu Liao, Peng Cheng, Tao Mei
http://arxiv.org/abs/2108.05045v1
• [cs.CV]Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
Kazuki Koga, Kazuhiro Takemoto
http://arxiv.org/abs/2108.04979v1
• [cs.CV]Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni
http://arxiv.org/abs/2108.05055v1
• [cs.CV]Towards Interpretable Deep Networks for Monocular Depth Estimation
Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li
http://arxiv.org/abs/2108.05312v1
• [cs.CV]Towards Top-Down Just Noticeable Difference Estimation of Natural Images
Qiuping Jiang, Zhentao Liu, Shiqi Wang, Feng Shao, Weisi Lin
http://arxiv.org/abs/2108.05058v1
• [cs.CV]Two is a crowd: tracking relations in videos
Artem Moskalev, Ivan Sosnovik, Arnold Smeulders
http://arxiv.org/abs/2108.05331v1
• [cs.CV]Video Transformer for Deepfake Detection with Incremental Learning
Sohail A. Khan, Hang Dai
http://arxiv.org/abs/2108.05307v1
• [cs.CV]VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu
http://arxiv.org/abs/2108.05015v1
• [cs.CV]Zero-Shot Domain Adaptation with a Physics Prior
Attila Lengyel, Sourav Garg, Michael Milford, Jan C. van Gemert
http://arxiv.org/abs/2108.05137v1
• [cs.CY]An examination of skill requirements for Augmented Reality and Virtual Reality job advertisements
Amit Verma, Pratibha Purohit, Timothy Thornton, Kamal Lamsal
http://arxiv.org/abs/2108.04946v1
• [cs.CY]Decentralised Trust for the Digital Economy
Geoffrey Goodell
http://arxiv.org/abs/2108.04960v1
• [cs.DB]PLEX: Towards Practical Learned Indexing
Mihail Stoian, Andreas Kipf, Ryan Marcus, Tim Kraska
http://arxiv.org/abs/2108.05117v1
• [cs.DB]Parallel algorithms for mining of frequent itemsets
Robert Kessl
http://arxiv.org/abs/2108.05038v1
• [cs.DC]A Limitlessly Scalable Transaction System
Max Mathys, Roland Schmid, Jakub Sliwinski, Roger Wattenhofer
http://arxiv.org/abs/2108.05236v1
• [cs.DS]Statistical Inference in the Differential Privacy Model
Huanyu Zhang
http://arxiv.org/abs/2108.05000v1
• [cs.GR]Differentiable Surface Rendering via Non-Differentiable Sampling
Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang
http://arxiv.org/abs/2108.04886v1
• [cs.GT]Composing games into complex institutions
Seth Frey, Jules Hedges, Joshua Tan, Philipp Zahn
http://arxiv.org/abs/2108.05318v1
• [cs.IR]Are Neural Ranking Models Robust?
Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
http://arxiv.org/abs/2108.05018v1
• [cs.IR]Deep Pairwise Learning To Rank For Search Autocomplete
Kai Yuan, Da Kuang
http://arxiv.org/abs/2108.04976v1
• [cs.IR]Estimation of Fair Ranking Metrics with Incomplete Judgments
Ömer Kırnap, Fernando Diaz, Asia Biega, Michael Ekstrand, Ben Carterette, Emine Yılmaz
http://arxiv.org/abs/2108.05152v1
• [cs.IR]FedMatch: Federated Learning Over Heterogeneous Question Answering Data
Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
http://arxiv.org/abs/2108.05069v1
• [cs.IR]Model-agnostic vs. Model-intrinsic Interpretability for Explainable Product Search
Qingyao Ai, Lakshmi Narayanan Ramasamy
http://arxiv.org/abs/2108.05317v1
• [cs.IR]Overview of the TREC 2020 Fair Ranking Track
Asia J. Biega, Fernando Diaz, Michael D. Ekstrand, Sergey Feldman, Sebastian Kohlmeier
http://arxiv.org/abs/2108.05135v1
• [cs.IR]Retrieval & Interaction Machine for Tabular Data Prediction
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
http://arxiv.org/abs/2108.05252v1
• [cs.IR]ULTRA: An Unbiased Learning To Rank Algorithm Toolbox
Anh Tran, Tao Yang, Qingyao Ai
http://arxiv.org/abs/2108.05073v1
• [cs.IT]Group LCD and Group Reversible LCD Codes
Steven T. Dougherty, Joe Gildea, Adrian Korban, Adam M. Roberts
http://arxiv.org/abs/2108.05056v1
• [cs.IT]Shannon capacity, Chess, DNA and Umbrellas
Oliver Knill
http://arxiv.org/abs/2108.04994v1
• [cs.IT]Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Solutions
Ertan Kazıklı, Sinan Gezici, Serdar Yüksel
http://arxiv.org/abs/2108.05240v1
• [cs.IT]Stochastic Geometry Analysis of IRS-Assisted Downlink Cellular Networks
Taniya Shafique, Hina Tabassum, Ekram Hossain
http://arxiv.org/abs/2108.04918v1
• [cs.LG]ABC-FL: Anomalous and Benign client Classification in Federated Learning
Hyejun Jeong, Joonyong Hwang, Tai Myung Chung
http://arxiv.org/abs/2108.04551v2
• [cs.LG]AdaRNN: Adaptive Learning and Forecasting of Time Series
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, Chongjun Wang
http://arxiv.org/abs/2108.04443v2
• [cs.LG]Adaptive Multi-Resolution Attention with Linear Complexity
Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
http://arxiv.org/abs/2108.04962v1
• [cs.LG]Analysis of ODE2VAE with Examples
Batuhan Koyuncu
http://arxiv.org/abs/2108.04899v1
• [cs.LG]Attention-like feature explanation for tabular data
Andrei V. Konstantinov, Lev V. Utkin
http://arxiv.org/abs/2108.04855v1
• [cs.LG]Causal Order Identification to Address Confounding: Binary Variables
Joe Suzuki, Yusuke Inaoka
http://arxiv.org/abs/2108.04947v1
• [cs.LG]Cooperative Learning for Noisy Supervision
Hao Wu, Jiangchao Yao, Ya Zhang, Yanfeng Wang
http://arxiv.org/abs/2108.05092v1
• [cs.LG]Creutzfeldt-Jakob Disease Prediction Using Machine Learning Techniques
Arnav Bhakta, Carolyn Byrne
http://arxiv.org/abs/2108.04972v1
• [cs.LG]EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li
http://arxiv.org/abs/2108.05233v1
• [cs.LG]Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
Weishen Pan, Sen Cui, Jiang Bian, Changshui Zhang, Fei Wang
http://arxiv.org/abs/2108.05335v1
• [cs.LG]Fairness Through Counterfactual Utilities
Jack Blandin, Ian Kash
http://arxiv.org/abs/2108.05315v1
• [cs.LG]Flow-based SVDD for anomaly detection
Marcin Sendera, Marek Śmieja, Łukasz Maziarka, Łukasz Struski, Przemysław Spurek, Jacek Tabor
http://arxiv.org/abs/2108.04907v1
• [cs.LG]Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning
Xin Zhou, Yang Li
http://arxiv.org/abs/2108.05342v1
• [cs.LG]LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
Jinsung Jeon, Soyoung Kang, Minju Jo, Seunghyeon Cho, Noseong Park, Seonghoon Kim, Chiyoung Song
http://arxiv.org/abs/2108.04993v1
• [cs.LG]Logic Explained Networks
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
http://arxiv.org/abs/2108.05149v1
• [cs.LG]Machine Learning Model Drift Detection Via Weak Data Slices
Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici
http://arxiv.org/abs/2108.05319v1
• [cs.LG]Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
Laurel Orr, Atindriyo Sanyal, Xiao Ling, Karan Goel, Megan Leszczynski
http://arxiv.org/abs/2108.05053v1
• [cs.LG]Putting RDF2vec in Order
Jan Portisch, Heiko Paulheim
http://arxiv.org/abs/2108.05280v1
• [cs.LG]Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt
http://arxiv.org/abs/2108.04884v1
• [cs.LG]Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces
Ziyad Sheebaelhamd, Konstantinos Zisis, Athina Nisioti, Dimitris Gkouletsos, Dario Pavllo, Jonas Kohler
http://arxiv.org/abs/2108.03952v2
• [cs.LG]Towards data-driven filters in Paraview
Drishti Majarjan, Peter Zaspel
http://arxiv.org/abs/2108.05196v1
• [cs.LG]Truncated Emphatic Temporal Difference Methods for Prediction and Control
Shangtong Zhang, Shimon Whiteson
http://arxiv.org/abs/2108.05338v1
• [cs.LG]Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks
Young Ah Choi, Kyung Ho Park, Eunji Park, Huy Kang Kim
http://arxiv.org/abs/2108.05079v1
• [cs.NE]Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation
Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann
http://arxiv.org/abs/2108.05005v1
• [cs.RO]An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control
Dmitrii Dobriborsci, Ksenia Makarova, Aleksandr Rubashevskii, Pavel Osinenko
http://arxiv.org/abs/2108.04857v1
• [cs.RO]AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection
Xiaoran Fan, Riley Simmons-Edler, Daewon Lee, Larry Jackel, Richard Howard, Daniel Lee
http://arxiv.org/abs/2108.04867v1
• [cs.RO]Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles
Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei
http://arxiv.org/abs/2108.05118v1
• [cs.RO]DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks
Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu
http://arxiv.org/abs/2108.05030v1
• [cs.RO]Elastic Tactile Simulation Towards Tactile-Visual Perception
Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li
http://arxiv.org/abs/2108.05013v1
• [cs.RO]Estimation and Navigation Methods with Limited Information for Autonomous Urban Driving
Jordan Chipka
http://arxiv.org/abs/2108.05218v1
• [cs.RO]Mathematical modelling and virtual decomposition control of heavy-duty parallelserial hydraulic manipulators
Goran R. Petrović, Jouni Mattila
http://arxiv.org/abs/2108.05322v1
• [cs.RO]Minimization of GNSS-Denied Inertial Navigation Errors for Fixed Wing Autonomous Unmanned Air Vehicles
Eduardo Gallo, Antonio Barrientos
http://arxiv.org/abs/2108.05188v1
• [cs.RO]Organization and Understanding of a Tactile Information Dataset TacAct During Physical Human-Robot Interactions
Peng Wang, Jixiao Liu, Funing Hou, Dicai Chen, Zihou Xia, Shijie Guo
http://arxiv.org/abs/2108.03779v2
• [cs.RO]Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraints
Zain Alabedeen Ali, Konstantin Yakovlev
http://arxiv.org/abs/2108.05145v1
• [cs.RO]Road Mapping and Localization using Sparse Semantic Visual Features
Wentao Cheng, Sheng Yang, Maomin Zhou, Ziyuan Liu, Yiming Chen, Mingyang Li
http://arxiv.org/abs/2108.05047v1
• [cs.SD]Depth Infused Binaural Audio Generation using Hierarchical Cross-Modal Attention
Kranti Kumar Parida, Siddharth Srivastava, Neeraj Matiyali, Gaurav Sharma
http://arxiv.org/abs/2108.04906v1
• [cs.SD]Robust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification
Yuzhong Wu, Tan Lee
http://arxiv.org/abs/2108.05008v1
• [cs.SD]Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
Chin-Jui Chang, Chun-Yi Lee, Yi-Hsuan Yang
http://arxiv.org/abs/2108.05064v1
• [cs.SE]Natural Language-guided Programming
Geert Heyman, Rafael Huysegems, Pascal Justen, Tom Van Cutsem
http://arxiv.org/abs/2108.05198v1
• [cs.SE]The Forgotten Role of Search Queries in IR-based Bug Localization: An Empirical Study
Mohammad Masudur Rahman, Foutse Khomh, Shamima Yeasmin, Chanchal K. Roy
http://arxiv.org/abs/2108.05341v1
• [cs.SI]Effect of Key Match Events on Football Passmaps
Vid Stropnik, Vuk Đuranović, Maruša Oražem
http://arxiv.org/abs/2108.05343v1
• [cs.SI]Self-supervised Consensus Representation Learning for Attributed Graph
Changshu Liu, Liangjian Wen, Zhao Kang, Guangchun Luo, Ling Tian
http://arxiv.org/abs/2108.04822v1
• [eess.IV]One-Sided Box Filter for Edge Preserving Image Smoothing
Yuanhao Gong
http://arxiv.org/abs/2108.05021v1
• [eess.SY]Does Explicit Prediction Matter in Energy Management Based on Deep Reinforcement Learning?
Zhaoming Qin, Huaying Zhang, Yuzhou Zhao, Hong Xie, Junwei Cao
http://arxiv.org/abs/2108.05099v1
• [eess.SY]Uniform Complete Observability of Mass and Rotational Inertial Parameters in Adaptive Identification of Rigid-Body Plant Dynamics
Tyler Paine, Louis Whitcomb
http://arxiv.org/abs/2108.05297v1
• [math.CO]Classification of arcs in #card=math&code=%5Coperatorname%7BPG%7D%283%2C5%29&id=Rqjjb)
Sascha Kurz, Ivan Landjev, Assia Rousseva
http://arxiv.org/abs/2108.04871v1
• [math.DS]Learning strange attractors with reservoir systems
Lyudmila Grigoryeva, Allen Hart, Juan-Pablo Ortega
http://arxiv.org/abs/2108.05024v1
• [math.NA]Convergence bounds for nonlinear least squares and applications to tensor recovery
Philipp Trunschke
http://arxiv.org/abs/2108.05237v1
• [math.PR]Best lower bound on the probability of a binomial exceeding its expectation
Iosif Pinelis
http://arxiv.org/abs/2108.04916v1
• [math.ST]Dispersal density estimation across scales
Marc Hoffmann, Mathias Trabs
http://arxiv.org/abs/2108.05279v1
• [math.ST]Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
Jackson P. Lautier, Vladimir Pozdnyakov, Jun Yan
http://arxiv.org/abs/2108.04854v1
• [math.ST]Minimax and pointwise sequential changepoint detection and identification for general stochastic models
Serguei Pergamenchtchikov, Alexander Tartakovsky, Valentin Spivak
http://arxiv.org/abs/2108.05086v1
• [math.ST]Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems
Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, T. J. Sullivan
http://arxiv.org/abs/2108.04597v2
• [math.ST]Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces
Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, T. J. Sullivan
http://arxiv.org/abs/2108.04598v2
• [physics.chem-ph]Excited state, non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential
Simon Axelrod, Eugene Shakhnovich, Rafael Gómez-Bombarelli
http://arxiv.org/abs/2108.04879v1
• [q-bio.GN]Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models
Anastasia Dunca, Frederick R. Adler
http://arxiv.org/abs/2108.05039v1
• [q-bio.NC]Using Information Theory to Measure Psychophysical Performance
James V Stone
http://arxiv.org/abs/2108.04936v1
• [q-bio.QM]A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction
Farzaneh Esmaili, Mahdi Pourmirzaei, Shahin Ramazi, Elham Yavari
http://arxiv.org/abs/2108.04951v1
• [q-fin.MF]Arbitrage-Free Implied Volatility Surface Generation with Variational Autoencoders
Brian Ning, Sebastian Jaimungal, Xiaorong Zhang, Maxime Bergeron
http://arxiv.org/abs/2108.04941v1
• [quant-ph]Optimal learning of quantum Hamiltonians from high-temperature Gibbs states
Jeongwan Haah, Robin Kothari, Ewin Tang
http://arxiv.org/abs/2108.04842v1
• [quant-ph]Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series
Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko
http://arxiv.org/abs/2108.03190v2
• [stat.AP]A Puzzle of Proportions: Two Popular Bayesian Tests Can Yield Dramatically Different Conclusions
Fabian Dablander, Karoline Huth, Quentin F. Gronau, Alexander Etz, Eric-Jan Wagenmakers
http://arxiv.org/abs/2108.04909v1
• [stat.AP]Repeated undersampling in PrInDT (RePrInDT): Variation in undersampling and prediction, and ranking of predictors in ensembles
Claus Weihs, Sarah Buschfeld
http://arxiv.org/abs/2108.05129v1
• [stat.AP]The Effect of Autocorrelation on the Shewhart-RZ Control Chart
H. D. Nguyen, A. Ahmadi Nadi, K. P. Tran, P. Castagliola, G. Celano, K. D. Tran
http://arxiv.org/abs/2108.05239v1
• [stat.ME]Avoid Estimating the Unknown Function in a Semiparametric Nonignorable Propensity Model
Samidha Shetty, Yanyuan Ma, Jiwei Zhao
http://arxiv.org/abs/2108.04966v1
• [stat.ME]Bayesian Inference using the Proximal Mapping: Uncertainty Quantification under Varying Dimensionality
Maoran Xu, Hua Zhou, Yujie Hu, Leo L. Duan
http://arxiv.org/abs/2108.04851v1
• [stat.ME]Bayesian functional graphical models
Lin Zhang, Veera Baladandayuthapani, Quinton Neville, Karina Quevedo, Jeffrey S. Morris
http://arxiv.org/abs/2108.05034v1
• [stat.ME]Bayesian local exchangeability design for phase II basket trials
Yilin Liu, Michael Kane, Denise Esserman, Daniel Zelterman, Wei Wei
http://arxiv.org/abs/2108.05127v1
• [stat.ME]Controlling the False Split Rate in Tree-Based Aggregation
Simeng Shao, Jacob Bien, Adel Javanmard
http://arxiv.org/abs/2108.05350v1
• [stat.ME]Design-based composite estimation rediscovered
Andrius Čiginas
http://arxiv.org/abs/2108.05052v1
• [stat.ME]Estimating Causal Effects of Non-Randomized HIV Prevention Interventions with Interference in Network-based Studies among People who Inject Drugs
TingFang Lee, Ashley L. Buchanan, Natallia V. Katenka, Laura Forastiere, M. Elizabeth Halloran, Samuel R. Friedman, Georgios Nikolopoulos
http://arxiv.org/abs/2108.04865v1
• [stat.ME]Heywood cases in unidimensional factor models and item response models for binary data
Selena Wang, Paul De Boeck, Marcel Yotebieng
http://arxiv.org/abs/2108.04925v1
• [stat.ME]Multiway empirical likelihood
Harold D Chiang, Yukitoshi Matsushita, Taisuke Otsu
http://arxiv.org/abs/2108.04852v1
• [stat.ME]On the Distinction Between “Conditional Average Treatment Effects” (CATE) and “Individual Treatment Effects” (ITE) Under Ignorability Assumptions
Brian G. Vegetabile
http://arxiv.org/abs/2108.04939v1
• [stat.ME]Rank Energy Statistics in the Context of Change Point Detection
Amanda Ng
http://arxiv.org/abs/2108.04903v1
• [stat.ME]Robust posterior inference for Youden’s index cutoff
Nicholas Syring
http://arxiv.org/abs/2108.04898v1
• [stat.ML]Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction
Christian Brownlees, Jordi Llorens-Terrazas
http://arxiv.org/abs/2108.05184v1
• [stat.ML]Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay
Jihao Long, Lei Wu
http://arxiv.org/abs/2108.04964v1