cs.AI - 人工智能
    cs.CL - 计算与语言
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.DL - 数字图书馆
    cs.DM - 离散数学
    cs.DS - 数据结构与算法
    cs.ET - 新兴技术
    cs.FL - 形式语言与自动机理论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.LO - 计算逻辑
    cs.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
    econ.EM - 计量经济学
    math.MG -公制几何
    math.OC - 优化与控制
    math.ST - 统计理论
    physics.data-an - 数据分析、 统计和概率
    physics.geo-ph - 地球物理学
    q-bio.NC - 神经元与认知
    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

    • [cs.AI]A Mathematical Approach to Constraining Neural Abstraction and the Mechanisms Needed to Scale to Higher-Order Cognition
    • [cs.AI]Analyzing Race and Country of Citizenship Bias in Wikidata
    • [cs.AI]Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
    • [cs.AI]Clustering with UMAP: Why and How Connectivity Matters
    • [cs.AI]Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model
    • [cs.AI]Determining ActionReversibility in STRIPS Using Answer Set and Epistemic Logic Programming
    • [cs.AI]Engineering an Efficient Boolean Functional Synthesis Engine
    • [cs.AI]Friddy multiagent price stabilization model
    • [cs.AI]HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning
    • [cs.AI]Intelligent computational model for the classification of Covid-19 with chest radiography compared to other respiratory diseases
    • [cs.AI]On Liquidity Mining for Uniswap v3
    • [cs.AI]Snakes AI Competition 2020 and 2021 Report
    • [cs.AI]User-friendly Comparison of Similarity Algorithms on Wikidata
    • cs.CLsolving Morphological Inflection: Lemma Overlap Artificially Inflates Models’ Performance
    • [cs.CL]AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
    • [cs.CL]Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms
    • [cs.CL]Combining (second-order) graph-based and headed span-based projective dependency parsing
    • [cs.CL]Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
    • [cs.CL]Ethereum Data Structures
    • [cs.CL]Extracting Semantics from Maintenance Records
    • [cs.CL]Generating Diverse Descriptions from Semantic Graphs
    • [cs.CL]Generation Challenges: Results of the Accuracy Evaluation Shared Task
    • [cs.CL]How Optimal is Greedy Decoding for Extractive Question Answering?
    • [cs.CL]Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language
    • [cs.CL]NoFake at CheckThat! 2021: Fake News Detection Using BERT
    • [cs.CL]Scalable pragmatic communication via self-supervision
    • [cs.CL]Syntax Matters! Syntax-Controlled in Text Style Transfer
    • [cs.CL]The paradox of the compositionality of natural language: a neural machine translation case study
    • [cs.CV]3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
    • [cs.CV]AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
    • [cs.CV]Attention-driven Graph Clustering Network
    • [cs.CV]Automatic Gaze Analysis: A Survey of DeepLearning based Approaches
    • [cs.CV]Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
    • [cs.CV]Cascade Bagging for Accuracy Prediction with Few Training Samples
    • [cs.CV]Conditional Temporal Variational AutoEncoder for Action Video Prediction
    • [cs.CV]Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
    • [cs.CV]Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
    • [cs.CV]DIODE: Dilatable Incremental Object Detection
    • [cs.CV]Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
    • [cs.CV]Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography
    • [cs.CV]Deep Motion Prior for Weakly-Supervised Temporal Action Localization
    • [cs.CV]Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation
    • [cs.CV]DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
    • [cs.CV]Distilling Holistic Knowledge with Graph Neural Networks
    • [cs.CV]DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
    • [cs.CV]FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
    • [cs.CV]Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
    • [cs.CV]HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
    • [cs.CV]How Self-Supervised Learning Can be Used for Fine-Grained Head Pose Estimation?
    • [cs.CV]Improving Ranking Correlation of Supernet with Candidates Enhancement and Progressive Training
    • [cs.CV]LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
    • [cs.CV]Learning Visual Affordance Grounding from Demonstration Videos
    • [cs.CV]MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation
    • [cs.CV]MT-ORL: Multi-Task Occlusion Relationship Learning
    • [cs.CV]Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments
    • [cs.CV]MicroNet: Improving Image Recognition with Extremely Low FLOPs
    • [cs.CV]Mobile-Former: Bridging MobileNet and Transformer
    • [cs.CV]Multi-Modal MRI Reconstruction with Spatial Alignment Network
    • [cs.CV]Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
    • [cs.CV]NI-UDA: Graph Adversarial Domain Adaptation from Non-shared-and-Imbalanced Big Data to Small Imbalanced Applications
    • [cs.CV]Oriented R-CNN for Object Detection
    • [cs.CV]PixelSynth: Generating a 3D-Consistent Experience from a Single Image
    • [cs.CV]Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture
    • [cs.CV]Progressive Coordinate Transforms for Monocular 3D Object Detection
    • [cs.CV]Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
    • [cs.CV]SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
    • [cs.CV]Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
    • [cs.CV]Semantic Concentration for Domain Adaptation
    • [cs.CV]Silhouette based View embeddings for Gait Recognition under Multiple Views
    • [cs.CV]Spatio-Temporal Human Action Recognition Modelwith Flexible-interval Sampling and Normalization
    • [cs.CV]TF-Blender: Temporal Feature Blender for Video Object Detection
    • [cs.CV]The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
    • [cs.CV]Towards Interpretable Deep Metric Learning with Structural Matching
    • [cs.CV]Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
    • [cs.CV]Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
    • [cs.CV]Unconditional Scene Graph Generation
    • [cs.CV]UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
    • [cs.CV]Vision-Language Transformer and Query Generation for Referring Segmentation
    • [cs.CV]Voxel-level Importance Maps for Interpretable Brain Age Estimation
    • [cs.CV]Weakly Supervised Medical Image Segmentation
    • [cs.CV]iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering
    • [cs.CV]m-RevNet: Deep Reversible Neural Networks with Momentum
    • [cs.CY]An Early Look at the Gettr Social Network
    • [cs.CY]Common Investigation Process Model for Internet of Things Forensics
    • [cs.CY]Ontology drift is a challenge for explainable data governance
    • [cs.CY]Towards Narrative Medical Visualization
    • [cs.DC]A Contract Theory based Incentive Mechanism for Federated Learning
    • [cs.DC]Communication-free and Parallel Simulation of Neutral Biodiversity Models
    • [cs.DC]SAFE: Secure Aggregation with Failover and Encryption
    • [cs.DL]Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery
    • [cs.DM]Agnostic Online Learning and Excellent Sets
    • [cs.DS]Correlation Clustering with Asymmetric Classification Errors
    • [cs.DS]Learning to Hash Robustly, with Guarantees
    • [cs.DS]Local Correlation Clustering with Asymmetric Classification Errors
    • [cs.DS]Space-Efficient Huffman Codes Revisited
    • [cs.ET]What Is the Trait d’Union between Retroactivity and Molecular Communication Performance Limits?
    • [cs.FL]Composition Machines: Programming Self-Organising Software Models for the Emergence of Sequential Program Spaces
    • [cs.HC]Multimodal analysis of the predictability of hand-gesture properties
    • [cs.IR]Are Neural Ranking Models Robust?
    • [cs.IR]Conditional Sequential Slate Optimization
    • [cs.IR]Graph Trend Networks for Recommendations
    • [cs.IR]HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
    • [cs.IR]Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm
    • [cs.IR]Page-level Optimization of e-Commerce Item Recommendations
    • [cs.IR]Session-based Recommendation with Heterogeneous Graph Neural Network
    • [cs.IR]Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
    • [cs.IT]Multi-user Joint Maximum-Likelihood Detection in Uplink NOMA-IoT Networks: Removing the Error Floor
    • [cs.IT]New Constructions of Golay Complementary Pair/Array with Large Zero Correlation Zone
    • [cs.IT]On the RIS Manipulating Attack and Its Countermeasures in Physical-layer Key Generation
    • [cs.IT]Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound
    • [cs.IT]Semantics-Native Communication with Contextual Reasoning
    • [cs.LG]A functional mirror ascent view of policy gradient methods with function approximation
    • [cs.LG]AffRankNet+: Ranking Affect Using Privileged Information
    • [cs.LG]An Approach to Partial Observability in Games: Learning to Both Act and Observe
    • [cs.LG]Attention-like feature explanation for tabular data
    • [cs.LG]Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates
    • [cs.LG]DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity
    • [cs.LG]DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models
    • [cs.LG]Decentralized Composite Optimization with Compression
    • [cs.LG]Deep Microlocal Reconstruction for Limited-Angle Tomography
    • [cs.LG]Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning
    • [cs.LG]DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
    • [cs.LG]Dynamic Attention-based Communication-Efficient Federated Learning
    • [cs.LG]Efficient Local Planning with Linear Function Approximation
    • [cs.LG]Fair Decision-Making for Food Inspections
    • [cs.LG]FreaAI: Automated extraction of data slices to test machine learning models
    • [cs.LG]Gap-Dependent Unsupervised Exploration for Reinforcement Learning
    • [cs.LG]How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers
    • [cs.LG]Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
    • [cs.LG]Learning from Matured Dumb Teacher for Fine Generalization
    • [cs.LG]Logit Attenuating Weight Normalization
    • [cs.LG]On minimal representations of shallow ReLU networks
    • [cs.LG]PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management
    • [cs.LG]Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
    • [cs.LG]Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
    • [cs.LG]Reimagining an autonomous vehicle
    • [cs.LG]Reinforcement Learning Approach to Active Learning for Image Classification
    • [cs.LG]Seven challenges for harmonizing explainability requirements
    • [cs.LG]Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
    • [cs.LG]Towards data-driven filters in Paraview
    • [cs.LG]perf4sight: A toolflow to model CNN training performance on Edge GPUs
    • [cs.LO]Lutz’s Spoiler Technique Revisited: A Unified Approach to Worst-Case Optimal Entailment of Unions of Conjunctive Queries in Locally-Forward Description Logics
    • [cs.NE]Computing Diverse Sets of High Quality TSP Tours by EAX-Based Evolutionary Diversity Optimisation
    • [cs.NE]Hardware realisation of nonlinear dynamical systems for and from biology
    • [cs.RO]A Semi-Lagrangian Approach for the Minimal Exposure Path Problem in Wireless Sensor Networks
    • [cs.RO]Agile Formation Control of Drone Flocking Enhanced with Active Vision-based Relative Localization
    • [cs.RO]An Earthworm-Inspired Multi-Mode Underwater Locomotion Robot: Design, Modeling, and Experiments
    • [cs.RO]COVINS: Visual-Inertial SLAM for Centralized Collaboration
    • [cs.RO]Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction
    • [cs.RO]Distributional Depth-Based Estimation of Object Articulation Models
    • [cs.RO]Elastic Tactile Simulation Towards Tactile-Visual Perception
    • [cs.RO]From market-ready ROVs to low-cost AUVs
    • [cs.RO]Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning
    • [cs.RO]Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor
    • [cs.RO]Put the Bear on the Chair! Intelligent Robot Interaction with Previously Unseen Objects via Robot Imagination
    • [cs.RO]Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases
    • [cs.SD]RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform
    • [cs.SD]Text Anchor Based Metric Learning for Small-footprint Keyword Spotting
    • [cs.SE]On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness
    • [econ.EM]Sparse Temporal Disaggregation
    • [math.MG]Loci of Poncelet Triangles with Multiple Caustics
    • [math.OC]Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations
    • [math.OC]The Contextual Appointment Scheduling Problem
    • [math.ST]Existence, Stability And Scalability Of Orthogonal Convolutional Neural Networks
    • [math.ST]Identifiability of Covariance Kernels in the Gaussian Process Regression Model
    • [physics.data-an]Optimising experimental design in neutron reflectometry
    • [physics.geo-ph]Seismic wave propagation and inversion with Neural Operators
    • [q-bio.NC]Using Information Theory to Measure Psychophysical Performance
    • [stat.AP]City-wide modeling of Vehicle-to-Grid Economics to Understand Effects of Battery Performance
    • [stat.AP]Hong Kong Air Traffic: Explanation and Prediction based on Sparse Seasonal ARIMA Model
    • [stat.AP]Spatial analysis of COVID-19 and socio-economic factors in Sri Lanka
    • [stat.AP]Understanding the population structure correction regression
    • [stat.CO]Partially Fixed Bayes Additive Regression Trees for spatial-temporal related model
    • [stat.CO]Probabilistic methods for approximate archetypal analysis
    • [stat.ME]A new class of copula regression models for modelling multivariate heavy-tailed data
    • [stat.ME]An Optimal Transport Approach to Causal Inference
    • [stat.ME]Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer’s disease classification
    • [stat.ME]Heywood cases in unidimensional factor models and item response models for binary data
    • [stat.ME]Kurtosis control in wavelet shrinkage with generalized secant hyperbolic prior
    • [stat.ME]Longitudinal network models and permutation-uniform Markov chains
    • [stat.ME]Registration for Incomplete Non-Gaussian Functional Data
    • [stat.ME]Single Index Fréchet Regression
    • [stat.ML]Feature Engineering with Regularity Structures
    • [stat.ML]Implicit Sparse Regularization: The Impact of Depth and Early Stopping
    • [stat.ML]Pathfinder: Parallel quasi-Newton variational inference

    ·····································

    • [cs.AI]A Mathematical Approach to Constraining Neural Abstraction and the Mechanisms Needed to Scale to Higher-Order Cognition
    Ananta Nair
    http://arxiv.org/abs/2108.05494v1

    • [cs.AI]Analyzing Race and Country of Citizenship Bias in Wikidata
    Zaina Shaik, Filip Ilievski, Fred Morstatter
    http://arxiv.org/abs/2108.05412v1

    • [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/2108.05278v2

    • [cs.AI]Clustering with UMAP: Why and How Connectivity Matters
    Ayush Dalmia, Suzanna Sia
    http://arxiv.org/abs/2108.05525v1

    • [cs.AI]Competency Model Approach to AI Literacy: Research-based Path from Initial Framework to Model
    Farhana Faruqe, Ryan Watkins, Larry Medsker
    http://arxiv.org/abs/2108.05809v1

    • [cs.AI]Determining ActionReversibility in STRIPS Using Answer Set and Epistemic Logic Programming
    Wolfgang Faber, Michael Morak, Lukáš Chrpa
    http://arxiv.org/abs/2108.05428v1

    • [cs.AI]Engineering an Efficient Boolean Functional Synthesis Engine
    Priyanka Golia, Friedrich Slivovsky, Subhajit Roy, Kuldeep S. Meel
    http://arxiv.org/abs/2108.05717v1

    • [cs.AI]Friddy multiagent price stabilization model
    Abdelrahman Elsharawy
    http://arxiv.org/abs/2108.05436v1

    • [cs.AI]HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning
    Willie McClinton, Andrew Levy, George Konidaris
    http://arxiv.org/abs/2108.05872v1

    • [cs.AI]Intelligent computational model for the classification of Covid-19 with chest radiography compared to other respiratory diseases
    Paula Santos
    http://arxiv.org/abs/2108.05536v1

    • [cs.AI]On Liquidity Mining for Uniswap v3
    Jimmy Yin, Mac Ren
    http://arxiv.org/abs/2108.05800v1

    • [cs.AI]Snakes AI Competition 2020 and 2021 Report
    Joseph Alexander Brown, Luiz Jonata Pires de Araujo, Alexandr Grichshenko
    http://arxiv.org/abs/2108.05136v1

    • [cs.AI]User-friendly Comparison of Similarity Algorithms on Wikidata
    Filip Ilievski, Pedro Szekely, Gleb Satyukov, Amandeep Singh
    http://arxiv.org/abs/2108.05410v1

    • [cs.CL](Un)solving Morphological Inflection: Lemma Overlap Artificially Inflates Models’ Performance
    Omer Goldman, David Guriel, Reut Tsarfaty
    http://arxiv.org/abs/2108.05682v1

    • [cs.CL]AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
    Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, Sivanesan Sangeetha
    http://arxiv.org/abs/2108.05542v1

    • [cs.CL]Attacks against Ranking Algorithms with Text Embeddings: a Case Study on Recruitment Algorithms
    Anahita Samadi, Debapriya Banerjee, Shirin Nilizadeh
    http://arxiv.org/abs/2108.05490v1

    • [cs.CL]Combining (second-order) graph-based and headed span-based projective dependency parsing
    Songlin Yang, Kewei Tu
    http://arxiv.org/abs/2108.05838v1

    • [cs.CL]Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
    Noriyuki Kojima, Alane Suhr, Yoav Artzi
    http://arxiv.org/abs/2108.04812v1
    6d9
    6d9)

    • [cs.CL]Ethereum Data Structures
    Kamil Jezek
    http://arxiv.org/abs/2108.05513v1

    • [cs.CL]Extracting Semantics from Maintenance Records
    Sharad Dixit, Varish Mulwad, Abhinav Saxena
    http://arxiv.org/abs/2108.05454v1

    • [cs.CL]Generating Diverse Descriptions from Semantic Graphs
    Jiuzhou Han, Daniel Beck, Trevor Cohn
    http://arxiv.org/abs/2108.05659v1

    • [cs.CL]Generation Challenges: Results of the Accuracy Evaluation Shared Task
    Craig Thomson, Ehud Reiter
    http://arxiv.org/abs/2108.05644v1

    • [cs.CL]How Optimal is Greedy Decoding for Extractive Question Answering?
    Or Castel, Ori Ram, Avia Efrat, Omer Levy
    http://arxiv.org/abs/2108.05857v1

    • [cs.CL]Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language
    Gosse Minnema
    http://arxiv.org/abs/2108.05575v1

    • [cs.CL]NoFake at CheckThat! 2021: Fake News Detection Using BERT
    Sushma Kumari
    http://arxiv.org/abs/2108.05419v1

    • [cs.CL]Scalable pragmatic communication via self-supervision
    Jennifer Hu, Roger Levy, Noga Zaslavsky
    http://arxiv.org/abs/2108.05799v1

    • [cs.CL]Syntax Matters! Syntax-Controlled in Text Style Transfer
    Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal
    http://arxiv.org/abs/2108.05869v1

    • [cs.CL]The paradox of the compositionality of natural language: a neural machine translation case study
    Verna Dankers, Elia Bruni, Dieuwke Hupkes
    http://arxiv.org/abs/2108.05885v1

    • [cs.CV]3D-SiamRPN: An End-to-End Learning Method for Real-Time 3D Single Object Tracking Using Raw Point Cloud
    Zheng Fang, Sifan Zhou, Yubo Cui, Sebastian Scherer
    http://arxiv.org/abs/2108.05630v1

    • [cs.CV]AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds
    Runsong Zhu, Yuan Liu, Zhen Dong, Tengping Jiang, Yuan Wang, Wenping Wang, Bisheng Yang
    http://arxiv.org/abs/2108.05836v1

    • [cs.CV]Attention-driven Graph Clustering Network
    Zhihao Peng, Hui Liu, Yuheng Jia, Junhui Hou
    http://arxiv.org/abs/2108.05499v1

    • [cs.CV]Automatic Gaze Analysis: A Survey of DeepLearning based Approaches
    Shreya Ghosh, Abhinav Dhall, Munawar Hayat, Jarrod Knibbe, Qiang Ji
    http://arxiv.org/abs/2108.05479v1

    • [cs.CV]Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
    Josh Beal, Hao-Yu Wu, Dong Huk Park, Andrew Zhai, Dmitry Kislyuk
    http://arxiv.org/abs/2108.05887v1

    • [cs.CV]Cascade Bagging for Accuracy Prediction with Few Training Samples
    Ruyi Zhang, Ziwei Yang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
    http://arxiv.org/abs/2108.05613v1

    • [cs.CV]Conditional Temporal Variational AutoEncoder for Action Video Prediction
    Xiaogang Xu, Yi Wang, Liwei Wang, Bei Yu, Jiaya Jia
    http://arxiv.org/abs/2108.05658v1

    • [cs.CV]Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
    Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha
    http://arxiv.org/abs/2108.05851v1

    • [cs.CV]Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
    Antyanta Bangunharcana, Jae Won Cho, Seokju Lee, In So Kweon, Kyung-Soo Kim, Soohyun Kim
    http://arxiv.org/abs/2108.05773v1

    • [cs.CV]DIODE: Dilatable Incremental Object Detection
    Can Peng, Kun Zhao, Sam Maksoud, Tianren Wang, Brian C. Lovell
    http://arxiv.org/abs/2108.05627v1

    • [cs.CV]Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
    Zhiyu Zhu, Hui Liu, Junhui Hou, Sen Jia, Qingfu Zhang
    http://arxiv.org/abs/2108.05547v1

    • [cs.CV]Deep Camera Obscura: An Image Restoration Pipeline for Lensless Pinhole Photography
    Joshua D. Rego, Huaijin Chen, Shuai Li, Jinwei Gu, Suren Jayasuriya
    http://arxiv.org/abs/2108.05563v1

    • [cs.CV]Deep Motion Prior for Weakly-Supervised Temporal Action Localization
    Meng Cao, Can Zhang, Long Chen, Mike Zheng Shou, Yuexian Zou
    http://arxiv.org/abs/2108.05607v1

    • [cs.CV]Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation
    Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
    http://arxiv.org/abs/2108.05422v1

    • [cs.CV]DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities
    Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Kilian Rambach, William Beluch, Xiahan Shi, Volker Fischer
    http://arxiv.org/abs/2108.05779v1

    • [cs.CV]Distilling Holistic Knowledge with Graph Neural Networks
    Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu
    http://arxiv.org/abs/2108.05507v1

    • [cs.CV]DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
    Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee
    http://arxiv.org/abs/2108.05615v1

    • [cs.CV]FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset
    Hasam Khalid, Shahroz Tariq, Simon S. Woo
    http://arxiv.org/abs/2108.05080v2

    • [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/2108.05249v2

    • [cs.CV]HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
    Wencan Cheng, Jae Hyun Park, Jong Hwan Ko
    http://arxiv.org/abs/2108.05545v1

    • [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/2108.04893v2

    • [cs.CV]Improving Ranking Correlation of Supernet with Candidates Enhancement and Progressive Training
    Ziwei Yang, Ruyi Zhang, Zhi Yang, Xubo Yang, Lei Wang, Zheyang Li
    http://arxiv.org/abs/2108.05866v1

    • [cs.CV]LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
    Inkyu Shin, Dong-jin Kim, Jae Won Cho, Sanghyun Woo, Kwanyong Park, In So Kweon
    http://arxiv.org/abs/2108.05570v1

    • [cs.CV]Learning Visual Affordance Grounding from Demonstration Videos
    Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao
    http://arxiv.org/abs/2108.05675v1

    • [cs.CV]MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation
    Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes
    http://arxiv.org/abs/2108.05693v1

    • [cs.CV]MT-ORL: Multi-Task Occlusion Relationship Learning
    Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin ZHANG, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming
    http://arxiv.org/abs/2108.05722v1

    • [cs.CV]Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments
    Youngsaeng Jin, David K. Han, Hanseok Ko
    http://arxiv.org/abs/2108.05635v1

    • [cs.CV]MicroNet: Improving Image Recognition with Extremely Low FLOPs
    Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos
    http://arxiv.org/abs/2108.05894v1

    • [cs.CV]Mobile-Former: Bridging MobileNet and Transformer
    Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu
    http://arxiv.org/abs/2108.05895v1

    • [cs.CV]Multi-Modal MRI Reconstruction with Spatial Alignment Network
    Kai Xuan, Lei Xiang, Xiaoqian Huang, Lichi Zhang, Shu Liao, Dinggang Shen, Qian Wang
    http://arxiv.org/abs/2108.05603v1

    • [cs.CV]Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
    Yunzhong Hou, Liang Zheng
    http://arxiv.org/abs/2108.05888v1

    • [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/2108.05061v2

    • [cs.CV]Oriented R-CNN for Object Detection
    Xingxing Xie, Gong Cheng, Jiabao Wang, Xiwen Yao, Junwei Han
    http://arxiv.org/abs/2108.05699v1

    • [cs.CV]PixelSynth: Generating a 3D-Consistent Experience from a Single Image
    Chris Rockwell, David F. Fouhey, Justin Johnson
    http://arxiv.org/abs/2108.05892v1

    • [cs.CV]Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture
    Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti, Christopher J. Henry, Cara M. Godee, Manisha Ajmani
    http://arxiv.org/abs/2108.05789v1

    • [cs.CV]Progressive Coordinate Transforms for Monocular 3D Object Detection
    Li Wang, Li Zhang, Yi Zhu, Zhi Zhang, Tong He, Mu Li, Xiangyang Xue
    http://arxiv.org/abs/2108.05793v1

    • [cs.CV]Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
    Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar
    http://arxiv.org/abs/2108.05649v1

    • [cs.CV]SIDER: Single-Image Neural Optimization for Facial Geometric Detail Recovery
    Aggelina Chatziagapi, ShahRukh Athar, Francesc Moreno-Noguer, Dimitris Samaras
    http://arxiv.org/abs/2108.05465v1

    • [cs.CV]Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery
    Chitra Agastya, Sirak Ghebremusse, Ian Anderson, Colorado Reed, Hossein Vahabi, Alberto Todeschini
    http://arxiv.org/abs/2108.05484v1

    • [cs.CV]Semantic Concentration for Domain Adaptation
    Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
    http://arxiv.org/abs/2108.05720v1

    • [cs.CV]Silhouette based View embeddings for Gait Recognition under Multiple Views
    Tianrui Chai, Xinyu Mei, Annan Li, Yunhong Wang
    http://arxiv.org/abs/2108.05524v1

    • [cs.CV]Spatio-Temporal Human Action Recognition Modelwith Flexible-interval Sampling and Normalization
    Yuke, Yang
    http://arxiv.org/abs/2108.05633v1

    • [cs.CV]TF-Blender: Temporal Feature Blender for Video Object Detection
    Yiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu
    http://arxiv.org/abs/2108.05821v1

    • [cs.CV]The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
    Vasileios Baltatzis, Kyriaki-Margarita Bintsi, Loic Le Folgoc, Octavio E. Martinez Manzanera, Sam Ellis, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
    http://arxiv.org/abs/2108.05386v1

    • [cs.CV]Towards Interpretable Deep Metric Learning with Structural Matching
    Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou
    http://arxiv.org/abs/2108.05889v1

    • [cs.CV]Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
    Xiaoshi Wu, Hadar Averbuch-Elor, Jin Sun, Noah Snavely
    http://arxiv.org/abs/2108.05863v1

    • [cs.CV]Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
    Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li
    http://arxiv.org/abs/2108.05617v1

    • [cs.CV]Unconditional Scene Graph Generation
    Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari
    http://arxiv.org/abs/2108.05884v1

    • [cs.CV]UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing
    Meng Cao, Haozhi Huang, Hao Wang, Xuan Wang, Li Shen, Sheng Wang, Linchao Bao, Zhifeng Li, Jiebo Luo
    http://arxiv.org/abs/2108.05650v1

    • [cs.CV]Vision-Language Transformer and Query Generation for Referring Segmentation
    Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang
    http://arxiv.org/abs/2108.05565v1

    • [cs.CV]Voxel-level Importance Maps for Interpretable Brain Age Estimation
    Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Alexander Hammers, Daniel Rueckert
    http://arxiv.org/abs/2108.05388v1

    • [cs.CV]Weakly Supervised Medical Image Segmentation
    Pedro H. T. Gama, Hugo Oliveira, Jefersson A. dos Santos
    http://arxiv.org/abs/2108.05476v1

    • [cs.CV]iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering
    Liao Wang, Ziyu Wang, Pei Lin, Yuheng Jiang, Xin Suo, Minye Wu, Lan Xu, Jingyi Yu
    http://arxiv.org/abs/2108.05577v1

    • [cs.CV]m-RevNet: Deep Reversible Neural Networks with Momentum
    Duo Li, Shang-Hua Gao
    http://arxiv.org/abs/2108.05862v1

    • [cs.CY]An Early Look at the Gettr Social Network
    Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro, Savvas Zannettou, Gianluca Stringhini
    http://arxiv.org/abs/2108.05876v1

    • [cs.CY]Common Investigation Process Model for Internet of Things Forensics
    Muhammed Ahmed Saleh, Siti Hajar Othman, Arafat Al-Dhaqm, Mahmoud Ahmad Al-Khasawneh
    http://arxiv.org/abs/2108.05576v1

    • [cs.CY]Ontology drift is a challenge for explainable data governance
    Jiahao Chen
    http://arxiv.org/abs/2108.05401v1

    • [cs.CY]Towards Narrative Medical Visualization
    Monique Meuschke, Laura Garrison, Noeska Smit, Stefan Bruckner, Kai Lawonn, Bernhard Preim
    http://arxiv.org/abs/2108.05462v1

    • [cs.DC]A Contract Theory based Incentive Mechanism for Federated Learning
    Mengmeng Tian, Yuxin Chen, Yuan Liu, Zehui Xiong, Cyril Leung, Chunyan Miao
    http://arxiv.org/abs/2108.05568v1

    • [cs.DC]Communication-free and Parallel Simulation of Neutral Biodiversity Models
    Momo Langenstein
    http://arxiv.org/abs/2108.05815v1

    • [cs.DC]SAFE: Secure Aggregation with Failover and Encryption
    Thomas Sandholm, Sayandev Mukherjee, Bernardo A. Huberman
    http://arxiv.org/abs/2108.05475v1

    • [cs.DL]Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery
    Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel Weld, Tom Hope
    http://arxiv.org/abs/2108.05669v1

    • [cs.DM]Agnostic Online Learning and Excellent Sets
    Maryanthe Malliaris, Shay Moran
    http://arxiv.org/abs/2108.05569v1

    • [cs.DS]Correlation Clustering with Asymmetric Classification Errors
    Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev, Yury Makarychev
    http://arxiv.org/abs/2108.05696v1

    • [cs.DS]Learning to Hash Robustly, with Guarantees
    Alexandr Andoni, Daniel Beaglehole
    http://arxiv.org/abs/2108.05433v1

    • [cs.DS]Local Correlation Clustering with Asymmetric Classification Errors
    Jafar Jafarov, Sanchit Kalhan, Konstantin Makarychev, Yury Makarychev
    http://arxiv.org/abs/2108.05697v1

    • [cs.DS]Space-Efficient Huffman Codes Revisited
    Szymon Grabowski, Dominik Köppl
    http://arxiv.org/abs/2108.05495v1

    • [cs.ET]What Is the Trait d’Union between Retroactivity and Molecular Communication Performance Limits?
    Francesca Ratti, Maurizio Magarini, Domitilla Del Vecchio
    http://arxiv.org/abs/2108.05853v1

    • [cs.FL]Composition Machines: Programming Self-Organising Software Models for the Emergence of Sequential Program Spaces
    Damian Arellanes
    http://arxiv.org/abs/2108.05402v1

    • [cs.HC]Multimodal analysis of the predictability of hand-gesture properties
    Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellström, Gustav Eje Henter
    http://arxiv.org/abs/2108.05762v1

    • [cs.IR]Are Neural Ranking Models Robust?
    Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
    http://arxiv.org/abs/2108.05018v2

    • [cs.IR]Conditional Sequential Slate Optimization
    Yipeng Zhang, Mingjian Lu, Saratchandra Indrakanti, Manojkumar Rangasamy Kannadasan, Abraham Bagherjeiran
    http://arxiv.org/abs/2108.05618v1

    • [cs.IR]Graph Trend Networks for Recommendations
    Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
    http://arxiv.org/abs/2108.05552v1

    • [cs.IR]HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
    Anson Bastos, Kuldeep Singh, Abhishek Nadgeri, Saeedeh Shekarpour, Isaiah Onando Mulang, Johannes Hoffart
    http://arxiv.org/abs/2108.05774v1

    • [cs.IR]Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm
    Lin Bo, Liang Pang, Gang Wang, Jun Xu, XiuQiang He, Ji-Rong Wen
    http://arxiv.org/abs/2108.05652v1

    • [cs.IR]Page-level Optimization of e-Commerce Item Recommendations
    Chieh Lo, Hongliang Yu, Xin Yin, Krutika Shetty, Changchen He, Kathy Hu, Justin Platz, Adam Ilardi, Sriganesh Madhvanath
    http://arxiv.org/abs/2108.05891v1

    • [cs.IR]Session-based Recommendation with Heterogeneous Graph Neural Network
    Jinpeng Chen, Haiyang Li, Fan Zhang, Senzhang Wang, Kaimin Wei
    http://arxiv.org/abs/2108.05641v1

    • [cs.IR]Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
    Luyu Gao, Jamie Callan
    http://arxiv.org/abs/2108.05540v1

    • [cs.IT]Multi-user Joint Maximum-Likelihood Detection in Uplink NOMA-IoT Networks: Removing the Error Floor
    Hichem Semira, Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu
    http://arxiv.org/abs/2108.05881v1

    • [cs.IT]New Constructions of Golay Complementary Pair/Array with Large Zero Correlation Zone
    Zhi Gu, Zhengchun Zhou, Avik Ranjan Adhikary, Yanghe Feng
    http://arxiv.org/abs/2108.05657v1

    • [cs.IT]On the RIS Manipulating Attack and Its Countermeasures in Physical-layer Key Generation
    Lei Hu, Guyue Li, Hongyi Luo, Aiqun Hu
    http://arxiv.org/abs/2108.05497v1

    • [cs.IT]Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound
    Christoph Hofmeister, Rawad Bitar, Marvin Xhemrishi, Antonia Wachter-Zeh
    http://arxiv.org/abs/2108.05742v1

    • [cs.IT]Semantics-Native Communication with Contextual Reasoning
    Hyowoon Seo, Jihong Park, Mehdi Bennis, Mérouane Debbah
    http://arxiv.org/abs/2108.05681v1

    • [cs.LG]A functional mirror ascent view of policy gradient methods with function approximation
    Sharan Vaswani, Olivier Bachem, Simone Totaro, Robert Mueller, Matthieu Geist, Marlos C. Machado, Pablo Samuel Castro, Nicolas Le Roux
    http://arxiv.org/abs/2108.05828v1

    • [cs.LG]AffRankNet+: Ranking Affect Using Privileged Information
    Konstantinos Makantasis
    http://arxiv.org/abs/2108.05598v1

    • [cs.LG]An Approach to Partial Observability in Games: Learning to Both Act and Observe
    Elizabeth Gilmour, Noah Plotkin, Leslie Smith
    http://arxiv.org/abs/2108.05701v1

    • [cs.LG]Attention-like feature explanation for tabular data
    Andrei V. Konstantinov, Lev V. Utkin
    http://arxiv.org/abs/2
    7af
    108.04855v1
    7af
    108.04855v1)

    • [cs.LG]Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates
    Srikanth Chandar, Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi
    http://arxiv.org/abs/2108.05670v1

    • [cs.LG]DARTS for Inverse Problems: a Study on Hyperparameter Sensitivity
    Jonas Geiping, Jovita Lukasik, Margret Keuper, Michael Moeller
    http://arxiv.org/abs/2108.05647v1

    • [cs.LG]DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models
    Wenxiao Chen, Xiaohui Nie, Mingliang Li, Dan Pei
    http://arxiv.org/abs/2108.05509v1

    • [cs.LG]Decentralized Composite Optimization with Compression
    Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
    http://arxiv.org/abs/2108.04448v2

    • [cs.LG]Deep Microlocal Reconstruction for Limited-Angle Tomography
    Héctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem, Philipp Petersen
    http://arxiv.org/abs/2108.05732v1

    • [cs.LG]Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning
    Md. Mohsin Sarker Raihan, Md. Mohi Uddin Khan, Laboni Akter, Abdullah Bin Shams
    http://arxiv.org/abs/2108.05660v1

    • [cs.LG]DexMV: Imitation Learning for Dexterous Manipulation from Human Videos
    Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang
    http://arxiv.org/abs/2108.05877v1

    • [cs.LG]Dynamic Attention-based Communication-Efficient Federated Learning
    Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek
    http://arxiv.org/abs/2108.05765v1

    • [cs.LG]Efficient Local Planning with Linear Function Approximation
    Dong Yin, Botao Hao, Yasin Abbasi-Yadkori, Nevena Lazić, Csaba Szepesvári
    http://arxiv.org/abs/2108.05533v1

    • [cs.LG]Fair Decision-Making for Food Inspections
    Shubham Singh, Bhuvni Shah, Ian A. Kash
    http://arxiv.org/abs/2108.05523v1

    • [cs.LG]FreaAI: Automated extraction of data slices to test machine learning models
    Samuel Ackerman, Orna Raz, Marcel Zalmanovici
    http://arxiv.org/abs/2108.05620v1

    • [cs.LG]Gap-Dependent Unsupervised Exploration for Reinforcement Learning
    Jingfeng Wu, Vladimir Braverman, Lin F. Yang
    http://arxiv.org/abs/2108.05439v1

    • [cs.LG]How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers
    Marharyta Aleksandrova, Oleg Chertov
    http://arxiv.org/abs/2108.05677v1

    • [cs.LG]Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
    Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo
    http://arxiv.org/abs/2108.05449v1

    • [cs.LG]Learning from Matured Dumb Teacher for Fine Generalization
    HeeSeung Jung, Kangil Kim, Hoyong Kim, Jong-Hun Shin
    http://arxiv.org/abs/2108.05776v1

    • [cs.LG]Logit Attenuating Weight Normalization
    Aman Gupta, Rohan Ramanath, Jun Shi, Anika Ramachandran, Sirou Zhou, Mingzhou Zhou, S. Sathiya Keerthi
    http://arxiv.org/abs/2108.05839v1

    • [cs.LG]On minimal representations of shallow ReLU networks
    S. Dereich, S. Kassing
    http://arxiv.org/abs/2108.05643v1

    • [cs.LG]PatrickStar: Parallel Training of Pre-trained Models via a Chunk-based Memory Management
    Jiarui Fang, Yang Yu, Shenggui Li, Yang You
    http://arxiv.org/abs/2108.05818v1

    • [cs.LG]Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
    Yu Huang, Yufei Tang, Xingquan Zhu, Min Shi, Ali Muhamed Ali, Hanqi Zhuang, Laurent Cherubin
    http://arxiv.org/abs/2108.05385v1

    • [cs.LG]Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
    Kuluhan Binici, Nam Trung Pham, Tulika Mitra, Karianto Leman
    http://arxiv.org/abs/2108.05698v1

    • [cs.LG]Reimagining an autonomous vehicle
    Jeffrey Hawke, Haibo E, Vijay Badrinarayanan, Alex Kendall
    http://arxiv.org/abs/2108.05805v1

    • [cs.LG]Reinforcement Learning Approach to Active Learning for Image Classification
    Thorben Werner
    http://arxiv.org/abs/2108.05595v1

    • [cs.LG]Seven challenges for harmonizing explainability requirements
    Jiahao Chen, Victor Storchan
    http://arxiv.org/abs/2108.05390v1

    • [cs.LG]Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
    Xiaofei Wang, Kimin Lee, Kourosh Hakhamaneshi, Pieter Abbeel, Michael Laskin
    http://arxiv.org/abs/2108.05382v1

    • [cs.LG]Towards data-driven filters in Paraview
    Drishti Maharjan, Peter Zaspel
    http://arxiv.org/abs/2108.05196v2

    • [cs.LG]perf4sight: A toolflow to model CNN training performance on Edge GPUs
    Aditya Rajagopal, Christos-Savvas Bouganis
    http://arxiv.org/abs/2108.05580v1

    • [cs.LO]Lutz’s Spoiler Technique Revisited: A Unified Approach to Worst-Case Optimal Entailment of Unions of Conjunctive Queries in Locally-Forward Description Logics
    Bartosz Bednarczyk
    http://arxiv.org/abs/2108.05680v1

    • [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/2108.05005v2

    • [cs.NE]Hardware realisation of nonlinear dynamical systems for and from biology
    Hamid Soleimani
    http://arxiv.org/abs/2108.04928v1

    • [cs.RO]A Semi-Lagrangian Approach for the Minimal Exposure Path Problem in Wireless Sensor Networks
    Armando Alves Neto, Víctor C. da Silva Campos, Douglas G. Macharet
    http://arxiv.org/abs/2108.05868v1

    • [cs.RO]Agile Formation Control of Drone Flocking Enhanced with Active Vision-based Relative Localization
    Peihan Zhang, Gang Chen, Wei Dong
    http://arxiv.org/abs/2108.05505v1

    • [cs.RO]An Earthworm-Inspired Multi-Mode Underwater Locomotion Robot: Design, Modeling, and Experiments
    Hongbin Fang, Zihan He, Jian Xu
    http://arxiv.org/abs/2108.05518v1

    • [cs.RO]COVINS: Visual-Inertial SLAM for Centralized Collaboration
    Patrik Schmuck, Thomas Ziegler, Marco Karrer, Jonathan Perraudin, Margarita Chli
    http://arxiv.org/abs/2108.05756v1

    • [cs.RO]Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction
    Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool
    http://arxiv.org/abs/2108.05814v1

    • [cs.RO]Distributional Depth-Based Estimation of Object Articulation Models
    Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, Scott Niekum
    http://arxiv.org/abs/2108.05875v1

    • [cs.RO]Elastic Tactile Simulation Towards Tactile-Visual Perception
    Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li
    http://arxiv.org/abs/2108.05013v2

    • [cs.RO]From market-ready ROVs to low-cost AUVs
    Jonatan Scharff Willners, Ignacio Carlucho, Tomasz Łuczyński, Sean Katagiri, Chandler Lemoine, Joshua Roe, Dylan Stephens, Shida Xu, Yaniel Carreno, Èric Pairet, Corina Barbalata, Yvan Petillot, Sen Wang
    http://arxiv.org/abs/2108.05792v1

    • [cs.RO]Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning
    Hyungyu Lee, Myeongwoo Jeong, Chanyoung Kim, Hyungtae Lim, Changgue Park, Sungwon Hwang, Hyun Myung
    http://arxiv.org/abs/2108.05457v1

    • [cs.RO]Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor
    Hyungtae Lim, Minho Oh, Hyun Myung
    http://arxiv.org/abs/2108.05560v1

    • [cs.RO]Put the Bear on the Chair! Intelligent Robot Interaction with Previously Unseen Objects via Robot Imagination
    Hongtao Wu, Xin Meng, Sipu Ruan, Gregory Chirikjian
    http://arxiv.org/abs/2108.05539v1

    • [cs.RO]Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases
    Tae Ha Park, Juergen Bosse, Simone D’Amico
    http://arxiv.org/abs/2108.05529v1

    • [cs.SD]RW-Resnet: A Novel Speech Anti-Spoofing Model Using Raw Waveform
    Youxuan Ma, Zongze Ren, Shugong Xu
    http://arxiv.org/abs/2108.05684v1

    • [cs.SD]Text Anchor Based Metric Learning for Small-footprint Keyword Spotting
    Li Wang, Rongzhi Gu, Nuo Chen, Yuexian Zou
    http://arxiv.org/abs/2108.05516v1

    • [cs.SE]On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness
    Lena Kästner, Markus Langer, Veronika Lazar, Astrid Schomäcker, Timo Speith, Sarah Sterz
    http://arxiv.org/abs/2108.05379v1

    • [econ.EM]Sparse Temporal Disaggregation
    Luke Mosley, Idris Eckley, Alex Gibberd
    http://arxiv.org/abs/2108.05783v1

    • [math.MG]Loci of Poncelet Triangles with Multiple Caustics
    Ronaldo Garcia, Boris Odehnal, Dan Reznik
    http://arxiv.org/abs/2108.05430v1

    • [math.OC]Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations
    Quentin Clairon, Adeline Samson
    http://arxiv.org/abs/2108.05775v1

    • [math.OC]The Contextual Appointment Scheduling Problem
    Nima Salehi Sadghiani, Saeid Motiian
    http://arxiv.org/abs/2108.05531v1

    • [math.ST]Existence, Stability And Scalability Of Orthogonal Convolutional Neural Networks
    El Mehdi Achour, Fran{\c c}ois Malgouyres, Franck Mamalet
    http://arxiv.org/abs/2108.05623v1

    • [math.ST]Identifiability of Covariance Kernels in the Gaussian Process Regression Model
    JaeHoan Kim, Jaeyong Lee
    http://arxiv.org/abs/2108.04715v2

    • [physics.data-an]Optimising experimental design in neutron reflectometry
    James H. Durant, Lucas Wilkins, Joshaniel F. K. Cooper
    http://arxiv.org/abs/2108.05605v1

    • [physics.geo-ph]Seismic wave propagation and inversion with Neural Operators
    Yan Yang, Angela F. Gao, Jorge C. Castellanos, Zachary E. Ross, Kamyar Azizzadenesheli, Robert W. Clayton
    http://arxiv.org/abs/2108.05421v1

    • [q-bio.NC]Using Information Theory to Measure Psychophysical Performance
    James V Stone
    http://arxiv.org/abs/2108.04936v2

    • [stat.AP]City-wide modeling of Vehicle-to-Grid Economics to Understand Effects of Battery Performance
    Heta A. Gandhi, Andrew D. White
    http://arxiv.org/abs/2108.05837v1

    • [stat.AP]Hong Kong Air Traffic: Explanation and Prediction based on Sparse Seasonal ARIMA Model
    Shuwen Chai
    http://arxiv.org/abs/2108.05817v1

    • [stat.AP]Spatial analysis of COVID-19 and socio-economic factors in Sri Lanka
    Rumali Perera, Harshana Weligampola, Umar Marikkar, Suren Sritharan, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath, Anuruddhika Rathnayake, Samath Dharmaratne
    http://arxiv.org/abs/2108.05651v1

    • [stat.AP]Understanding the population structure correction regression
    The Tien Mai, Pierre Alquier
    http://arxiv.org/abs/2108.05655v1

    • [stat.CO]Partially Fixed Bayes Additive Regression Trees for spatial-temporal related model
    Hao Ran, Yang Bai
    http://arxiv.org/abs/2108.05685v1

    • [stat.CO]Probabilistic methods for approximate archetypal analysis
    Ruijian Han, Braxton Osting, Dong Wang, Yiming Xu
    http://arxiv.org/abs/2108.05767v1

    • [stat.ME]A new class of copula regression models for modelling multivariate heavy-tailed data
    Zhengxiao Li, Jan Beirlant, Liang Yang
    http://arxiv.org/abs/2108.05511v1

    • [stat.ME]An Optimal Transport Approach to Causal Inference
    William Torous, Florian Gunsilius, Philippe Rigollet
    http://arxiv.org/abs/2108.05858v1

    • [stat.ME]Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer’s disease classification
    Wouter van Loon, Frank de Vos, Marjolein Fokkema, Botond Szabo, Marisa Koini, Reinhold Schmidt, Mark de Rooij
    http://arxiv.org/abs/2108.05761v1

    • [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/2108.04925v2

    • [stat.ME]Kurtosis control in wavelet shrinkage with generalized secant hyperbolic prior
    Alex Rodrigo dos Santos Sousa
    http://arxiv.org/abs/2108.05418v1

    • [stat.ME]Longitudinal network models and permutation-uniform Markov chains
    William K. Schwartz, Sonja Petrović, Hemanshu Kaul
    http://arxiv.org/abs/2108.05555v1

    • [stat.ME]Registration for Incomplete Non-Gaussian Functional Data
    Alexander Bauer, Fabian Scheipl, Helmut Küchenhoff, Alice-Agnes Gabriel
    http://arxiv.org/abs/2108.05634v1

    • [stat.ME]Single Index Fréchet Regression
    Satarupa Bhattacharjee, Hans-Georg Müller
    http://arxiv.org/abs/2108.05437v1

    • [stat.ML]Feature Engineering with Regularity Structures
    Ilya Chevyrev, Andris Gerasimovics, Hendrik Weber
    http://arxiv.org/abs/2108.05879v1

    • [stat.ML]Implicit Sparse Regularization: The Impact of Depth and Early Stopping
    Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
    http://arxiv.org/abs/2108.05574v1

    • [stat.ML]Pathfinder: Parallel quasi-Newton variational inference
    Lu Zhang, Bob Carpenter, Andrew Gelman, Aki Vehtari
    http://arxiv.org/abs/2108.03782v2