cond-mat.mes-hall - 尺度和物理纳米
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.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.NE - 神经与进化计算
cs.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.SP - 信号处理
math.CO - 组合数学
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
q-bio.NC - 神经元与认知
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
• [cond-mat.mes-hall]Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning
• [cs.AI]A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information
• [cs.AI]Accelerating Evolutionary Neural Architecture Search via Multi-Fi
1000
delity Evaluation
• [cs.AI]Deep Joint Learning of Pathological Region Localization and Alzheimer’s Disease Diagnosis
• [cs.AI]Extending LIME for Business Process Automation
• [cs.AI]Logical Information Cells I
• [cs.AI]Making Transformers Solve Compositional Tasks
• [cs.AI]Multi-Factors Aware Dual-Attentional Knowledge Tracing
• [cs.AI]Multi-Valued Cognitive Maps: Calculations with Linguistic Variables without Using Numbers
• [cs.AI]On the Foundations of Grounding in Answer Set Programming
• [cs.AI]Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration
• [cs.AI]TrUMAn: Trope Understanding in Movies and Animations
• [cs.CL]Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization
• [cs.CL]BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents
• [cs.CL]CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model
• [cs.CL]COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews
• [cs.CL]Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
• [cs.CL]Differentiable Subset Pruning of Transformer Heads
• [cs.CL]Headed Span-Based Projective Dependency Parsing
• [cs.CL]Hope Speech detection in under-resourced Kannada language
• [cs.CL]How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies
• [cs.CL]Lifelong Intent Detection via Multi-Strategy Rebalancing
• [cs.CL]Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation
• [cs.CR]Canonical Noise Distributions and Private Hypothesis Tests
• [cs.CR]Falling for Phishing: An Empirical Investigation into People’s Email Response Behaviors
• [cs.CV]ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
• [cs.CV]AnyoneNet: Synchronized Speech and Talking Head Generation for arbitrary person
• [cs.CV]AutoVideo: An Automated Video Action Recognition System
• [cs.CV]Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI
• [cs.CV]BIDCD - Bosch Industrial Depth Completion Dataset
• [cs.CV]Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
• [cs.CV]CPNet: Cross-Parallel Network for Efficient Anomaly Detection
• [cs.CV]Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
• [cs.CV]Deep Metric Learning for Open World Semantic Segmentation
• [cs.CV]Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
• [cs.CV]Domain-Aware Universal Style Transfer
• [cs.CV]Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
• [cs.CV]Exploiting Featureswith Split-and-Share Module
• [cs.CV]FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting
• [cs.CV]FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network
• [cs.CV]Hand Pose Classification Based on Neural Networks
• [cs.CV]Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
• [cs.CV]Iterative Self-consistent Parallel Magnetic Resonance Imaging Reconstruction based on Nonlocal Low-Rank Regularization
• [cs.CV]Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving
• [cs.CV]Learning Canonical 3D Object Representation for Fine-Grained Recognition
• [cs.CV]Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
• [cs.CV]Learning to Cut by Watching Movies
• [cs.CV]Meta Gradient Adversarial Attack
• [cs.CV]Method Towards CVPR 2021 Image Matching Challenge
• [cs.CV]Method Towards CVPR 2021 SimLocMatch Challenge
• [cs.CV]MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam
• [cs.CV]Multi-Camera Trajectory Forecasting with Trajectory Tensors
• [cs.CV]Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
• [cs.CV]Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification
• [cs.CV]No-Reference Image Quality Assessment by Hallucinating Pristine Features
• [cs.CV]R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes
• [cs.CV]RaftMLP: Do MLP-based Models Dream of Winning Over Computer Vision?
• [cs.CV]Reference-based Defect Detection Network
• [cs.CV]SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
• [cs.CV]SUNet: Symmetric Undistortion Network for Rolling Shutter Correction
• [cs.CV]Scalable Reverse Image Search Engine for NASAWorldview
• [cs.CV]Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
• [cs.CV]Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction
• [cs.CV]Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
• [cs.CV]SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
• [cs.CV]TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
• [cs.CV]The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
• [cs.CV]U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations
• [cs.CV]Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
• [cs.CV]UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks
• [cs.CV]Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction
• [cs.CV]White blood cell subtype detection and classification
• [cs.CY]Enhancing Knowledge Tracing via Adversarial Training
• [cs.DB]Crowdsourced Databases and Sui Generis Rights
• [cs.DC]Evaluation of Load Prediction Techniques for Distributed Stream Processing
• [cs.DC]Fast and Fair Lock-Free Locks
• [cs.DC]MiB: Asynchronous BFT with More Replicas
• [cs.DC]Survey and Benchmarking of Precision-Scalable MAC Arrays for Embedded DNN Processing
• [cs.DS]Correlation Clustering Reconstruction in Semi-Adversarial Models
• [cs.DS]On Learning and Testing Decision Tree
• [cs.GR]Stroke Correspondence by Labeling Closed Areas
• [cs.HC]Generating Music and Generative Art from Brain activity
• [cs.HC]Modeling and Evaluating Personas with Software Explainability Requirements
• [cs.IR]End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
• [cs.IR]Fully Hyperbolic Graph Convolution Network for Recommendation
• [cs.IR]High Quality Related Search Query Suggestions using Deep Reinforcement Learning
• [cs.IR]Localized Graph Collaborative Filtering
• [cs.IR]POSO: Personalized Cold Start Modules for Large-scale Recommender Systems
• [cs.IT]A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
• [cs.IT]Adaptive Beam Tracking based on Recurrent Neural Networks for mmWave Channels
• [cs.IT]Cellular-Connected UAV with Adaptive Air-to-Ground Interference Cancellation and Trajectory Optimization
• [cs.IT]Channel Modeling and Channel Estimation for Holographic Massive MIMO with Planar Arrays
• [cs.IT]Evolution of NOMA Toward Next Generation Multiple Access (NGMA)
• [cs.IT]Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey
• [cs.IT]Joint Association and Resource Allocation for Multi-Hop Integrated Access and Backhaul (IAB) Network
• [cs.IT]Near optimal efficient decoding from pooled data
• [cs.IT]Performance of Uplink NOMA with User Mobility Under Short Packet Transmission
• [cs.IT]The Impact of Subspace-Based Pilot Decontamination in User-Centric Scalable Cell-Free Wireless Networks
• [cs.LG]A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
• [cs.LG]A Survey on Deep Reinforcement Learning for Data Processing and Analytics
• [cs.LG]ABC-FL: Anomalous and Benign client Classification in Federated Learning
• [cs.LG]AdaRNN: Adaptive Learning and Forecasting of Time Series
• [cs.LG]Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston
• [cs.LG]Binary Complex Neural Network Acceleration on FPGA
• [cs.LG]Computational complexity of Inexact Proximal Point Algorithm for Convex Optimization under Holderian Growth
• [cs.LG]Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
• [cs.LG]Decentralized Composite Optimization with Compression
• [cs.LG]Deep Learning Enhanced Dynamic Mode Decomposition
• [cs.LG]Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
• [cs.LG]Expressive Power and Loss Surfaces of Deep Learning Models
• [cs.LG]FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning
• [cs.LG]Known Operator Learning and Hybrid Machine Learning in Medical Imaging —- A Review of the Past, the Present, and the Future
• [cs.LG]Label-informed Graph Structure Learning for Node Classification
• [cs.LG]Learning to Maximize Influence
• [cs.LG]Meta-repository of screening mammography classifiers
• [cs.LG]On Procedural Adversarial Noise Attack And Defense
• [cs.LG]PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage
• [cs.LG]Privacy-Preserving Machine Learning: Methods, Challenges and Directions
• [cs.LG]Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems
• [cs.LG]Regularized Sequential Latent Variable Models with Adversarial Neural Networks
• [cs.LG]Rethinking Architecture Selection in Differentiable NAS
• [cs.LG]Revisit the Fundamental Theorem of Linear Algebra
• [cs.LG]The Benefits of Implicit Regularization from SGD in Least Squares Problems
• [cs.LG]The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data
• [cs.NE]Epigenetic opportunities for Evolutionary Computation
• [cs.NE]Matchmaker, Matchmaker, Make Me a Match: Geometric, Variational, and Evolutionary Implications of Criteria for Tag Affinity
• [cs.RO]Learning Autonomous Mobility Using Real Demonstration Data
• [cs.RO]Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
• [cs.RO]MSTC*:Multi-robot Coverage Path Planning under Physical Constraints
• [cs.RO]Recognizing Orientation Slip in Human Demonstrations
• [cs.RO]Roadside-assisted Cooperative Planning using Future Path Sharing for Autonomous Driving
• [cs.RO]Robust and Dexterous Dual-arm Tele-Cooperation using Fractal Impedance Control
• [cs.RO]Serverless Architecture for Service Robot Management System
• [cs.RO]Time-Optimal Planning for Quadrotor Waypoint Flight
• [cs.SD]An empirical investigation into audio pipeline approaches for classifying bird species
• [cs.SD]StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition
• [cs.SE]Diversity-aware Web APIs Recommendation with Compatibility Guarantee
• [cs.SI]A Graph Approach to Simulate Twitter Activities with Hawkes Processes
• [cs.SI]Finding NeMo: Fishing in banking networks using network motifs
• [cs.SI]Knowledge Enhanced Multi-modal Fake News Detection
• [cs.SI]Why do people participate in small online communities?
• [eess.SP]BEAMWAVE: Cross-Layer Beamforming and Scheduling for Super
d82
imposed Transmissions in Industrial IoT mmWave Networks
• [eess.SP]Modulation Based On A Simple MDS Code: Achieving Better Error Performance Than Index Modulation and Related Schemes
• [math.CO]The covering radius of permutation designs
• [math.NA]Natural Numerical Networks for Natura 2000 habitats classification by satellite images
• [math.OC]A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions
• [math.OC]Asymptotic convergence rates for averaging strategies
• [math.ST]-convergence of Onsager—Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems
• [math.ST]-convergence of Onsager—Machlup functionals. Part II: Infinite product measures on Banach spaces
• [math.ST]’Too Many, Too Improbable’ test statistics: A general method for testing joint hypotheses and controlling the k-FWER
• [math.ST]Identifiability of Covariance Kernels in the Gaussian Process Regression Model
• [math.ST]Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data
• [q-bio.NC]ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity
• [quant-ph]Linear programming bounds for quantum channels acting on quantum error-correcting codes
• [stat.AP]Why multiple hypothesis test corrections provide poor control of false positives in the real world
• [stat.ME]A Two-Stage Cox Process Model with Spatial and Nonspatial Covariates
• [stat.ME]Addressing Extreme Propensity Scores in Estimating Counterfactual Survival Functions via the Overlap Weights
• [stat.ME]An examination of the generalised pooled binomial distribution and its information properties
• [stat.ME]Data-guided Treatment Recommendation with Feature Scores
• [stat.ME]Test of Significance for High-dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference
• [stat.ME]The External Validity of Combinatorial Samples and Populations
• [stat.ML]Active Learning for Transition State Calculation
• [stat.ML]Bandit Algorithms for Precision Medicine
• [stat.ML]Imitation Learning by Reinforcement Learning
• [stat.ML]Tensor Principal Component Analysis in High Dimensional CP Models
·····································
• [cond-mat.mes-hall]Spiderweb nanomechanical resonators via Bayesian optimization: inspired by nature and guided by machine learning
Dongil Shin, Andrea Cupertino, Matthijs H. J. de Jong, Peter G. Steeneken, Miguel A. Bessa, Richard A. Norte
http://arxiv.org/abs/2108.04809v1
• [cs.AI]A Novel Markovian Framework for Integrating Absolute and Relative Ordinal Emotion Information
Jingyao Wu, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah
http://arxiv.org/abs/2108.04605v1
• [cs.AI]Accelerating Evolutionary Neural Architecture Search via Multi-Fi
1000
delity Evaluation
Shangshang Yang, Ye Tian, Xiaoshu Xiang, Shichen Peng, Xingyi Zhang
http://arxiv.org/abs/2108.04541v1
• [cs.AI]Deep Joint Learning of Pathological Region Localization and Alzheimer’s Disease Diagnosis
Changhyun Park, Heung-Il Suk
http://arxiv.org/abs/2108.04555v1
• [cs.AI]Extending LIME for Business Process Automation
Sohini Upadhyay, Vatche Isahagian, Vinod Muthusamy, Yara Rizk
http://arxiv.org/abs/2108.04371v1
• [cs.AI]Logical Information Cells I
Jean-Claude Belfiore, Daniel Bennequin, Xavier Giraud
http://arxiv.org/abs/2108.04751v1
• [cs.AI]Making Transformers Solve Compositional Tasks
Santiago Ontañón, Joshua Ainslie, Vaclav Cvicek, Zachary Fisher
http://arxiv.org/abs/2108.04378v1
• [cs.AI]Multi-Factors Aware Dual-Attentional Knowledge Tracing
Moyu Zhang, Xinning Zhu, Chunhong Zhang, Yang Ji, Feng Pan, Changchuan Yin
http://arxiv.org/abs/2108.04741v1
• [cs.AI]Multi-Valued Cognitive Maps: Calculations with Linguistic Variables without Using Numbers
Dmitry Maximov
http://arxiv.org/abs/2108.04760v1
• [cs.AI]On the Foundations of Grounding in Answer Set Programming
Roland Kaminski, Torsten Schaub
http://arxiv.org/abs/2108.04769v1
• [cs.AI]Towards a Generic Multimodal Architecture for Batch and Streaming Big Data Integration
Siham Yousfi, Maryem Rhanoui, Dalila Chiadmi
http://arxiv.org/abs/2108.04343v1
• [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/2108.04542v1
• [cs.CL]Automated Audio Captioning using Transfer Learning and Reconstruction Latent Space Similarity Regularization
Andrew Koh, Fuzhao Xue, Eng Siong Chng
http://arxiv.org/abs/2108.04692v1
• [cs.CL]BROS: A Layout-Aware Pre-trained Language Model for Understanding Documents
Teakgyu Hong, Donghyun Kim, Mingi Ji, Wonseok Hwang, Daehyun Nam, Sungrae Park
http://arxiv.org/abs/2108.04539v1
• [cs.CL]CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model
Xin Wang, Yasheng Wang, Pingyi Zhou, Meng Xiao, Yadao Wang, Li Li, Xiao Liu, Hao Wu, Jin Liu, Xin Jiang
http://arxiv.org/abs/2108.04556v1
• [cs.CL]COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews
Shruti Singh, Mayank Singh, Pawan Goyal
http://arxiv.org/abs/2108.04366v1
• [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
• [cs.CL]Differentiable Subset Pruning of Transformer Heads
Jiaoda Li, Ryan Cotterell, Mrinmaya Sachan
http://arxiv.org/abs/2108.04657v1
• [cs.CL]Headed Span-Based Projective Dependency Parsing
Songlin Yang, Kewei Tu
http://arxiv.org/abs/2108.04750v1
• [cs.CL]Hope Speech detection in under-resourced Kannada language
Adeep Hande, Ruba Priyadharshini, Anbukkarasi Sampath, Kingston Pal Thamburaj, Prabakaran Chandran, Bharathi Raja Chakravarthi
http://arxiv.org/abs/2108.04616v1
• [cs.CL]How Commonsense Knowledge Helps with Natural Language Tasks: A Survey of Recent Resources and Methodologies
Yubo Xie, Pearl Pu
http://arxiv.org/abs/2108.04674v1
• [cs.CL]Lifelong Intent Detection via Multi-Strategy Rebalancing
Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao
http://arxiv.org/abs/2108.04445v1
• [cs.CL]Sampling-Based Minimum Bayes Risk Decoding for Neural Machine Translation
Bryan Eikema, Wilker Aziz
http://arxiv.org/abs/2108.04718v1
• [cs.CR]Canonical Noise Distributions and Private Hypothesis Tests
Jordan Awan, Salil Vadhan
http://arxiv.org/abs/2108.04303v1
• [cs.CR]Falling for Phishing: An Empirical Investigation into People’s Email Response Behaviors
Asangi Jayatilaka, Nalin Asanka Gamagedara Arachchilage, Muhammad Ali Babar
http://arxiv.org/abs/2108.04766v1
• [cs.CV]ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
Boseung Jeong, Jicheol Park, Suha Kwak
http://arxiv.org/abs/2108.04533v1
• [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/2108.04325v1
• [cs.CV]AutoVideo: An Automated Video Action Recognition System
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu
http://arxiv.org/abs/2108.04212v2
• [cs.CV]Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI
Santiago Estrada, Ran Lu, Kersten Diers, Weiyi Zeng, Philipp Ehses, Tony Stöcker, Monique M. B Breteler, Martin Reuter
http://arxiv.org/abs/2108.04267v1
• [cs.CV]BIDCD - Bosch Industrial Depth Completion Dataset
Adam Botach, Yuri Feldman, Yakov Miron, Yoel Shapiro, Dotan Di Castro
http://arxiv.org/abs/2108.04706v1
• [cs.CV]Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds
Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui
http://arxiv.org/abs/2108.04728v1
• [cs.CV]CPNet: Cross-Parallel Network for Efficient Anomaly Detection
Youngsaeng Jin, David Han, Hanseok Ko
http://arxiv.org/abs/2108.04454v1
• [cs.CV]Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau
http://arxiv.org/abs/2108.04016v2
• [cs.CV]Deep Metric Learning for Open World Semantic Segmentation
Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu
http://arxiv.org/abs/2108.04562v1
• [cs.CV]Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development
Morgan Klaus Scheuerman, Emily Denton, Alex Hanna
http://arxiv.org/abs/2108.04308v1
• [cs.CV]Domain-Aware Universal Style Transfer
Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun
http://arxiv.org/abs/2108.04441v1
• [cs.CV]Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
Hamza Rasaee, Hassan Rivaz
http://arxiv.org/abs/2108.04345v1
• [cs.CV]Exploiting Featureswith Split-and-Share Module
Jaemin Lee, Minseok Seo, Jongchan Park, Dong-Geol Choi
http://arxiv.org/abs/2108.04500v1
• [cs.CV]FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting
Junke Wang, Shaoxiang Chen, Zuxuan Wu, Yu-Gang Jiang
http://arxiv.org/abs/2108.04424v1
• [cs.CV]FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network
Qiang Hou, Weiqing Min, Jing Wang, Sujuan Hou, Yuanjie Zheng, Shuqiang Jiang
http://arxiv.org/abs/2108.04644v1
• [cs.CV]Hand Pose Classification Based on Neural Networks
Rashmi Bakshi
http://arxiv.org/abs/2108.04529v1
• [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/2108.04547v1
• [cs.CV]Iterative Self-consistent Parallel Magnetic Resonance Imaging Reconstruction based on Nonlocal Low-Rank Regularization
Ting Pan, Jizhong Duan, Junfeng Wang, Yu Liu
http://arxiv.org/abs/2108.04517v1
• [cs.CV]Joint Multi-Object Detection and Tracking with Camera-LiDAR Fusion for Autonomous Driving
Kemiao Huang, Qi Hao
http://arxiv.org/abs/2108.04602v1
• [cs.CV]Learning Canonical 3D Object Representation for Fine-Grained Recognition
Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, Kwanghoon Sohn
http://arxiv.org/abs/2108.04628v1
• [cs.CV]Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
Tailin Chen, Desen Zhou, Jian Wang, Shidong Wang, Yu Guan, Xuming He, Errui Ding
http://arxiv.org/abs/2108.04536v1
• [cs.CV]Learning to Cut by Watching Movies
Alejandro Pardo, Fabian Caba Heilbron, Juan León Alcázar, Ali Thabet, Bernard Ghanem
http://arxiv.org/abs/2108.04294v1
• [cs.CV]Meta Gradient Adversarial Attack
Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan
http://arxiv.org/abs/2108.04204v2
• [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/2108.04453v1
• [cs.CV]Method Towards CVPR 2021 SimLocMatch Challenge
Xiaopeng Bi, Ran Yan, Zheng Chai, Haotian Zhang, Xiao Liu
http://arxiv.org/abs/2108.04466v1
• [cs.CV]MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam
Ashild Kummen, Guanlin Li, Ali Hassan, Teodora Ganeva, Qianying Lu, Robert Shaw, Chenuka Ratwatte, Yang Zou, Lu Han, Emil Almazov, Sheena Visram, Andrew Taylor, Neil J Sebire, Lee Stott, Yvonne Rogers, Graham Roberts, Dean Mohamedally
http://arxiv.org/abs/2108.04357v1
• [cs.CV]Multi-Camera Trajectory Forecasting with Trajectory Tensors
Olly Styles, Tanaya Guha, Victor Sanchez
http://arxiv.org/abs/2108.04694v1
• [cs.CV]Multi-domain Collaborative Feature Representation for Robust Visual Object Tracking
Jiqing Zhang, Kai Zhao, Bo Dong, Yingkai Fu, Yuxin Wang, Xin Yang, Baocai Yin
http://arxiv.org/abs/2108.04521v1
• [cs.CV]Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification
Zan Gao, Hongwei Wei, Weili Guan, Weizhi Nie, Meng Liu, Meng Wang
http://arxiv.org/abs/2108.04527v1
• [cs.CV]No-Reference Image Quality Assessment by Hallucinating Pristine Features
Baoliang Chen, Lingyu Zhu, Chenqi Kong, Hanwei Zhu, Shiqi Wang, Zhu Li
http://arxiv.org/abs/2108.04165v2
• [cs.CV]R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes
Stefano Gasperini, Patrick Koch, Vinzenz Dallabetta, Nassir Navab, Benjamin Busam, Federico Tombari
http://arxiv.org/abs/2108.04814v1
• [cs.CV]RaftMLP: Do MLP-based Models Dream of Winning Over Computer Vision?
Yuki Tatsunami, Masato Taki
http://arxiv.org/abs/2108.04384v1
• [cs.CV]Reference-based Defect Detection Network
Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao
http://arxiv.org/abs/2108.04456v1
• [cs.CV]SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
Ruihui Li, Xianzhi Li, Ka-Hei Hui, Chi-Wing Fu
http://arxiv.org/abs/2108.04476v1
• [cs.CV]SUNet: Symmetric Undistortion Network for Rolling Shutter Correction
Bin Fan, Yuchao Dai, Mingyi He
http://arxiv.org/abs/2108.04775v1
• [cs.CV]Scalable Reverse Image Search Engine for NASAWorldview
Abhigya Sodani, Michael Levy, Anirudh Koul, Meher Anand Kasam, Siddha Ganju
http://arxiv.org/abs/2108.04479v1
• [cs.CV]Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos
Jiaojiao Fang, Guizhong Liu
http://arxiv.org/abs/2108.03893v2
• [cs.CV]Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction
Ben A. Rainbow, Qianhui Men, Hubert P. H. Shum
http://arxiv.org/abs/2108.04740v1
• [cs.CV]Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Balagopal Unnikrishnan, Cuong Nguyen, Shafa Balaram, Chao Li, Chuan Sheng Foo, Pavitra Krishnaswamy
http://arxiv.org/abs/2108.04423v1
• [cs.CV]SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han
http://arxiv.org/abs/2108.04444v1
• [cs.CV]TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localization
Zan Gao, Chao Sun, Zhiyong Cheng, Weili Guan, Anan Liu, Meng Wang
http://arxiv.org/abs/2108.04508v1
• [cs.CV]The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
Vasileios Baltatzis, Loic Le Folgoc, Sam Ellis, Octavio E. Martinez Manzanera, Kyriaki-Margarita Bintsi, Arjun Nair, Sujal Desai, Ben Glocker, Julia A. Schnabel
http://arxiv.org/abs/2108.04815v1
• [cs.CV]U-Net-and-a-half: Convolutional network for biomedical image segmentation using multiple expert-driven annotations
Yichi Zhang, Jesper Kers, Clarissa A. Cassol, Joris J. Roelofs, Najia Idrees, Alik Farber, Samir Haroon, Kevin P. Daly, Suvranu Ganguli, Vipul C. Chitalia, Vijaya B. Kolachalama
http://arxiv.org/abs/2108.04658v1
• [cs.CV]Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi, Santanu Chaudhury
http://arxiv.org/abs/2108.04558v1
• [cs.CV]UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks
NareshKumar Gurulingan, Elahe Arani, Bahram Zonooz
http://arxiv.org/abs/2108.04584v1
• [cs.CV]Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction
Fangwen Shu, Yaxu Xie, Jason Rambach, Alain Pagani, Didier Stricker
http://arxiv.org/abs/2108.04281v1
• [cs.CV]White blood cell subtype detection and classification
Nalla Praveen, Narinder Singh Punn, Sanjay Kumar Sonbhadra, Sonali Agarwal
http://arxiv.org/abs/2108.04614v1
• [cs.CY]Enhancing Knowledge Tracing via Adversarial Training
Xiaopeng Guo, Zhijie Huang, Jie Gao, Mingyu Shang, Maojing Shu, Jun Sun
http://arxiv.org/abs/2108.04430v1
• [cs.DB]Crowdsourced Databases and Sui Generis Rights
Gonçalo Simões de Almeida, Gonçalo Faria Abreu
http://arxiv.org/abs/2108.04727v1
• [cs.DC]Evaluation of Load Prediction Techniques for Distributed Stream Processing
Kordian Gontarska, Morgan Geldenhuys, Dominik Scheinert, Philipp Wiesner, Andreas Polze, Lauritz Thamsen
http://arxiv.org/abs/2108.04749v1
• [cs.DC]Fast and Fair Lock-Free Locks
Naama Ben-David, Guy E. Blelloch
http://arxiv.org/abs/2108.04520v1
• [cs.DC]MiB: Asynchronous BFT with More Replicas
Chao Liu, Sisi Duan, Haibin Zhang
http://arxiv.org/abs/2108.04488v1
• [cs.DC]Survey and Benchmarking of Precision-Scalable MAC Arrays for Embedded DNN Processing
Ehab M. Ibrahim, Linyan Mei, Marian Verhelst
http://arxiv.org/abs/2108.04773v1
• [cs.DS]Correlation Clustering Reconstruction in Semi-Adversarial Models
Flavio Chierichetti, Alessandro Panconesi, Giuseppe Re, Luca Trevisan
http://arxiv.org/abs/2108.04729v1
• [cs.DS]On Learning and Testing Decision Tree
Nader H. Bshouty, Catherine A. Haddad-Zaknoon
http://arxiv.org/abs/2108.04587v1
• [cs.GR]Stroke Correspondence by Labeling Closed Areas
Ryoma Miyauchi, Tsukasa Fukusato, Haoran Xie, Kazunori Miyata
http://arxiv.org/abs/2108.04393v1
• [cs.HC]Generating Music and Generative Art from Brain activity
Ricardo Andres Diaz-Rincon
http://arxiv.org/abs/2108.04316v1
• [cs.HC]Modeling and Evaluating Personas with Software Explainability Requirements
Henrique Ramos, Mateus Fonseca, Lesandro Ponciano
http://arxiv.org/abs/2108.04640v1
• [cs.IR]End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Qiwei Chen, Changhua Pei, Shanshan Lv, Chao Li, Junfeng Ge, Wenwu Ou
http://arxiv.org/abs/2108.04468v1
• [cs.IR]Fully Hyperbolic Graph Convolution Network for Recommendation
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang
http://arxiv.org/abs/2108.04607v1
• [cs.IR]High Quality Related Search Query Suggestions using Deep Reinforcement Learning
Praveen Kumar Bodigutla
http://arxiv.org/abs/2108.04452v1
• [cs.IR]Localized Graph Collaborative Filtering
Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie
http://arxiv.org/abs/2108.04475v1
• [cs.IR]POSO: Personalized Cold Start Modules for Large-scale Recommender Systems
Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, PinghuaGong, Sen Yang, Ji Liu
http://arxiv.org/abs/2108.04690v1
• [cs.IT]A New Class of Structured Beamforming for Content-Centric Fog Radio Access Networks
W. Zhu, H. D. Tuan, E. Dutkiewicz, Y. Fang, L. Hanzo
http://arxiv.org/abs/2108.04736v1
• [cs.IT]Adaptive Beam Tracking based on Recurrent Neural Networks for mmWave Channels
Saeid K. Dehkordi, Mari Kobayashi, Giuseppe Caire
http://arxiv.org/abs/2108.04548v1
• [cs.IT]Cellular-Connected UAV with Adaptive Air-to-Ground Interference Cancellation and Trajectory Optimization
Peiming Li, Lifeng Xie, Jianping Yao, Jie Xu
http://arxiv.org/abs/2108.04601v1
• [cs.IT]Channel Modeling and Channel Estimation for Holographic Massive MIMO with Planar Arrays
Özlem Tuğfe Demir, Emil Björnson, Luca Sanguinetti
http://arxiv.org/abs/2108.04633v1
• [cs.IT]Evolution of NOMA Toward Next Generation Multiple Access (NGMA)
Yuanwei Liu, Shuowen Zhang, Xidong Mu, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen
http://arxiv.org/abs/2108.04561v1
• [cs.IT]Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey
Shah Zeb, Aamir Mahmood, Syed Ali Hassan, MD. Jalil Piran, Mikael Gidlund, Mohsen Guizani
http://arxiv.org/abs/2108.04465v1
• [cs.IT]Joint Association and Resource Allocation for Multi-Hop Integrated Access and Backhaul (IAB) Network
Byungju Lim, Ju-Hyung Lee, Jae-Hong Kwon, Young-Chai Ko
http://arxiv.org/abs/2108.04483v1
• [cs.IT]Near optimal efficient decoding from pooled data
Max Hahn-Klimroth, Noela Müller
http://arxiv.org/abs/2108.04342v1
• [cs.IT]Performance of Uplink NOMA with User Mobility Under Short Packet Transmission
Nikolaos I. Miridakis, Emmanouel T. Michailidis, Angelos Michalas, Emmanouel Skondras, Dimitrios J. Vergados, Dimitrios D. Vergados
http://arxiv.org/abs/2108.04677v1
• [cs.IT]The Impact of Subspace-Based Pilot Decontamination in User-Centric Scalable Cell-Free Wireless Networks
Fabian Göttsch, Noboru Osawa, Takeo Ohseki, Kosuke Yamazaki, Giuseppe Caire
http://arxiv.org/abs/2108.04579v1
• [cs.LG]A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication
Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst
http://arxiv.org/abs/2108.04436v1
• [cs.LG]A Survey on Deep Reinforcement Learning for Data Processing and Analytics
Qingpeng Cai, Can Cui, Yiyuan Xiong, Zhongle Xie, Meihui Zhang
http://arxiv.org/abs/2108.04526v1
• [cs.LG]ABC-FL: Anomalous and Benign client Classification in Federated Learning
Hyejun Jeong, Joonyong Hwang, Tai Myung Chung
http://arxiv.org/abs/2108.04551v1
• [cs.LG]AdaRNN: Adaptive Learning and Forecasting of Time Series
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Chongjun Wang
http://arxiv.org/abs/2108.04443v1
• [cs.LG]Analyzing Effects of The COVID-19 Pandemic on Road Traffic Safety: The Cases of New York City, Los Angeles, and Boston
Lahari Karadla, Weizi Li
http://arxiv.org/abs/2108.04787v1
• [cs.LG]Binary Complex Neural Network Acceleration on FPGA
Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding
http://arxiv.org/abs/2108.04811v1
• [cs.LG]Computational complexity of Inexact Proximal Point Algorithm for Convex Optimization under Holderian Growth
Andrei Patrascu, Paul Irofti
http://arxiv.org/abs/2108.04482v1
• [cs.LG]Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP
Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns
http://arxiv.org/abs/2108.04578v1
• [cs.LG]Decentralized Composite Optimization with Compression
Yao Li, Xiaorui Liu, Jiliang Tang, Ming Yan, Kun Yuan
http://arxiv.org/abs/2108.04448v1
• [cs.LG]Deep Learning Enhanced Dynamic Mode Decomposition
Christopher W. Curtis, Daniel Jay Alford-Lago, Opal Issan
http://arxiv.org/abs/2108.04433v1
• [cs.LG]Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong, Tao Feng, Tong Xia, Depeng, Yong Li
http://arxiv.org/abs/2108.04462v1
• [cs.LG]Expressive Power and Loss Surfaces of Deep Learning Models
Simant Dube
http://arxiv.org/abs/2108.03579v2
• [cs.LG]FedPAGE: A Fast Local Stochastic Gradient Method for Communication-Efficient Federated Learning
Haoyu Zhao, Zhize Li, Peter Richtárik
http://arxiv.org/abs/2108.04755v1
• [cs.LG]Known Operator Learning and Hybrid Machine Learning in Medical Imaging —- A Review of the Past, the Present, and the Future
Andreas Maier, Harald Köstler, Marco Heisig, Patrick Krauss, Seung Hee Yang
http://arxiv.org/abs/2108.04543v1
• [cs.LG]Label-informed Graph Structure Learning for Node Classification
Liping Wang, Fenyu Hu, Shu Wu, Liang Wang
http://arxiv.org/abs/2108.04595v1
• [cs.LG]Learning to Maximize Influence
George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis
http://arxiv.org/abs/2108.04623v1
• [cs.LG]Meta-repository of screening mammography classifiers
Benjamin Stadnick, Jan Witowski, Vishwaesh Rajiv, Jakub Chłędowski, Farah E. Shamout, Kyunghyun Cho, Krzysztof J. Geras
http://arxiv.org/abs/2108.04800v1
• [cs.LG]On Procedural Adversarial Noise Attack And Defense
Jun Yan, Xiaoyang Deng, Huilin Yin, Wancheng Ge
http://arxiv.org/abs/2108.04409v1
• [cs.LG]PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage
Daniel Scheliga, Patrick Mäder, Marco Seeland
http://arxiv.org/abs/2108.04725v1
• [cs.LG]Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Runhua Xu, Nathalie Baracaldo, James Joshi
http://arxiv.org/abs/2108.04417v1
• [cs.LG]Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems
Fabio Bonassi, Riccardo Scattolini
http://arxiv.org/abs/2108.04585v1
• [cs.LG]Regularized Sequential Latent Variable Models with Adversarial Neural Networks
Jin Huang, Ming Xiao
http://arxiv.org/abs/2108.04496v1
• [cs.LG]Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
http://arxiv.org/abs/2108.04392v1
• [cs.LG]Revisit the Fundamental Theorem of Linear Algebra
Jun Lu
http://arxiv.org/abs/2108.04432v1
• [cs.LG]The Benefits of Implicit Regularization from SGD in Least Squares Problems
Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Dean P. Foster, Sham M. Kakade
http://arxiv.org/abs/2108.04552v1
• [cs.LG]The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data
Natália V. N. Rodrigues, L. Raul Abramo, Nina S. Hirata
http://arxiv.org/abs/2108.04742v1
• [cs.NE]Epigenetic opportunities for Evolutionary Computation
Sizhe Yuen, Thomas H. G. Ezard, Adam J. Sobey
http://arxiv.org/abs/2108.04546v1
• [cs.NE]Matchmaker, Matchmaker, Make Me a Match: Geometric, Variational, and Evolutionary Implications of Criteria for Tag Affinity
Matthew Andres Moreno, Alexander Lalejini, Charles Ofria
http://arxiv.org/abs/2108.04507v1
• [cs.RO]Learning Autonomous Mobility Using Real Demonstration Data
Jiacheng Gu, Zhibin Li
http://arxiv.org/abs/2108.04792v1
• [cs.RO]Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances
Aidan Curtis, Xiaolin Fang, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Caelan Reed Garrett
http://arxiv.org/abs/2108.04145v2
• [cs.RO]**MSTC:Multi-robot Coverage Path Planning under Physical Constraints
Jingtao Tang, Chun Sun, Xinyu Zhang
http://arxiv.org/abs/2108.04632v1
• [cs.RO]Recognizing Orientation Slip in Human Demonstrations
Michael Hagenow, Bolun Zhang, Bilge Mutlu, Michael Gleicher, Michael Zinn
http://arxiv.org/abs/2108.04695v1
• [cs.RO]Roadside-assisted Cooperative Planning using Future Path Sharing for Autonomous Driving
Mai Hirata, Manabu Tsukada, Keisuke Okumura, Yasumasa Tamura, Hideya Ochiai, Xavier Défago
http://arxiv.org/abs/2108.04629v1
• [cs.RO]Robust and Dexterous Dual-arm Tele-Cooperation using Fractal Impedance Control
Keyhan Kouhkiloui Babarahmati, Carlo Tiseo, Quentin Rouxel, Zhibin Li, Michael Mistry
http://arxiv.org/abs/2108.04567v1
• [cs.RO]Serverless Architecture for Service Robot Management System
Kenji Nishimiya, Yuta Imai
http://arxiv.org/abs/2108.04531v1
• [cs.RO]Time-Optimal Planning for Quadrotor Waypoint Flight
Philipp Foehn, Angel Romero, Davide Scaramuzza
http://arxiv.org/abs/2108.04537v1
• [cs.SD]An empirical investigation into audio pipeline approaches for classifying bird species
David Behr, Ciira wa Maina, Vukosi Marivate
http://arxiv.org/abs/2108.04449v1
• [cs.SD]StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition
Shoki Sakamoto, Akira Taniguchi, Tadahiro Taniguchi, Hirokazu Kameoka
http://arxiv.org/abs/2108.04395v1
• [cs.SE]Diversity-aware Web APIs Recommendation with Compatibility Guarantee
Wenwen Gonga, Yulan Zhang, Xuyun Zhang, Yucong Duan, Yawei Wang, Yifei Chena, Lianyong Qi
http://arxiv.org/abs/2108.04389v1
• [cs.SI]A Graph Approach to Simulate Twitter Activities with Hawkes Processes
Ao Qu, Ismael Lemhadri
http://arxiv.org/abs/2108.04818v1
• [cs.SI]Finding NeMo: Fishing in banking networks using network motifs
Xavier Fontes, David Aparício, Maria Inês Silva, Beatriz Malveiro, João Tiago Ascensão, Pedro Bizarro
http://arxiv.org/abs/2108.04494v1
• [cs.SI]Knowledge Enhanced Multi-modal Fake News Detection
Yi Han, Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie
http://arxiv.org/abs/2108.04418v1
• [cs.SI]Why do people participate in small online communities?
Sohyeon Hwang, Jeremy Foote
http://arxiv.org/abs/2108.04282v1
• [eess.SP]BEAMWAVE: Cross-Layer Beamforming and Scheduling for Super
d82
imposed Transmissions in Industrial IoT mmWave Networks
Luis F. Abanto-Leon, Matthias Hollick, Gek Hong Sim
http://arxiv.org/abs/2108.04313v1
• [eess.SP]Modulation Based On A Simple MDS Code: Achieving Better Error Performance Than Index Modulation and Related Schemes
Ferhat Yarkin, Justin P. Coon
http://arxiv.org/abs/2108.04719v1
• [math.CO]The covering radius of permutation designs
Patrick Solé
http://arxiv.org/abs/2108.04275v1
• [math.NA]Natural Numerical Networks for Natura 2000 habitats classification by satellite images
Karol Mikula, Michal Kollar, Aneta A. Ozvat, Martin Ambroz, Lucia Cahojova, Ivan Jarolimek, Jozef Sibik, Maria Sibikova
http://arxiv.org/abs/2108.04327v1
• [math.OC]A proof of convergence for the gradient descent optimization method with random initializations in the training of neural networks with ReLU activation for piecewise linear target functions
Arnulf Jentzen, Adrian Riekert
http://arxiv.org/abs/2108.04620v1
• [math.OC]Asymptotic convergence rates for averaging strategies
Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud
http://arxiv.org/abs/2108.04707v1
• [math.ST]-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/2108.04597v1
• [math.ST]-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/2108.04598v1
• [math.ST]‘Too Many, Too Improbable’ test statistics: A general method for testing joint hypotheses and controlling the k-FWER
Phillip B. Mogensen, Bo Markussen
http://arxiv.org/abs/2108.04731v1
• [math.ST]Identifiability of Covariance Kernels in the Gaussian Process Regression Model
JaeHoan Kim, Jaeyong Lee
http://arxiv.org/abs/2108.04715v1
• [math.ST]Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data
Lan Luo, Ruijian Han, Yuanyuan Lin, Jian Huang
http://arxiv.org/abs/2108.04437v1
• [q-bio.NC]ACE: A Novel Approach for the Statistical Analysis of Pairwise Connectivity
Krempl, Georg, Kottke, Daniel, Pham Minh, Tuan
http://arxiv.org/abs/2108.04289v1
• [quant-ph]Linear programming bounds for quantum channels acting on quantum error-correcting codes
Yingkai Ouyang, Ching-Yi Lai
http://arxiv.org/abs/2108.04434v1
• [stat.AP]Why multiple hypothesis test corrections provide poor control of false positives in the real world
Stanley E. Lazic
http://arxiv.org/abs/2108.04752v1
• [stat.ME]A Two-Stage Cox Process Model with Spatial and Nonspatial Covariates
Claire Kelling, Murali Haran
http://arxiv.org/abs/2108.04744v1
• [stat.ME]Addressing Extreme Propensity Scores in Estimating Counterfactual Survival Functions via the Overlap Weights
Chao Cheng, Fan Li, Laine Thomas, Fan Li
http://arxiv.org/abs/2108.04394v1
• [stat.ME]An examination of the generalised pooled binomial distribution and its information properties
Ben O’Neill, Angus McLure
http://arxiv.org/abs/2108.04396v1
• [stat.ME]Data-guided Treatment Recommendation with Feature Scores
Zhongyuan Chen, Ziyi Wang, Qifan Song, Jun Xie
http://arxiv.org/abs/2108.04364v1
• [stat.ME]Test of Significance for High-dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference
Huijie Feng, Yang Ning, Jiwei Zhao
http://arxiv.org/abs/2108.04306v1
• [stat.ME]The External Validity of Combinatorial Samples and Populations
Andre F. Ribeiro
http://arxiv.org/abs/2108.04376v1
• [stat.ML]Active Learning for Transition State Calculation
Shuting Gu, Hongqiao Wang, Xiang Zhou
http://arxiv.org/abs/2108.04698v1
• [stat.ML]Bandit Algorithms for Precision Medicine
Yangyi Lu, Ziping Xu, Ambuj Tewari
http://arxiv.org/abs/2108.04782v1
• [stat.ML]Imitation Learning by Reinforcement Learning
Kamil Ciosek
http://arxiv.org/abs/2108.04763v1
• [stat.ML]Tensor Principal Component Analysis in High Dimensional CP Models
Yuefeng Han, Cun-Hui Zhang
http://arxiv.org/abs/2108.04428v1
若有收获，就点个赞吧
0 人点赞
