cond-mat.stat-mech - 统计数学
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.DL - 数字图书馆
cs.DS - 数据结构与算法
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.MA - 多代理系统
cs.MM - 多媒体
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.PL - 编程语言
cs.RO - 机器人学
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
nucl-th - 核理论
physics.flu-dyn - 流体动力学
physics.soc-ph - 物理学与社会
q-fin.TR - 贸易与市场微观结构
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.stat-mech]Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates
• [cs.AI]Artificial Intelligence in Healthcare: Lost In Translation?
• [cs.AI]Conflict Detection in IoT-based Smart Homes
• [cs.AI]Exceeding the Limits of Visual-Linguistic Multi-Task Learning
• [cs.AI]Exploring and mining attributed sequences of interactions
• [cs.AI]MWP-BERT: A Strong Baseline for Math Word Problems
• [cs.AI]On Improving the Backjump Level in PB Solvers
• [cs.AI]Packet Routing with Graph Attention Multi-agent Reinforcement Learning
• [cs.AI]Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
• [cs.AI]The social dilemma in AI development and why we have to solve it
• [cs.AI]Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective
• [cs.CL]Arabic aspect based sentiment analysis using BERT
• [cs.CL]Emotion Stimulus Detection in German News Headlines
• [cs.CL]Goal-Oriented Script Construction
• [cs.CL]Growing knowledge culturally across generations to solve novel, complex tasks
• [cs.CL]Multi-Scale Feature and Metric Learning for Relation Extraction
• [cs.CL]Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
• [cs.CL]Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings
• [cs.CL]Towards Robustness Against Natural Language Word Substitutions
• [cs.CL]gaBERT — an Irish Language Model
• [cs.CR]XFL: eXtreme Function Labeling
• [cs.CV]A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemble
• [cs.CV]A New Split for Evaluating True Zero-Shot Action Recognition
• [cs.CV]A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery
• [cs.CV]A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
• [cs.CV]A Tale Of Two Long Tails
• [cs.CV]A Thorough Review on Recent Deep Learning Methodologies for Image Captioning
• [cs.CV]Accurate Grid Keypoint Learning for Efficient Video Prediction
• [cs.CV]Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
• [cs.CV]Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
• [cs.CV]Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations
• [cs.CV]Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
• [cs.CV]Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
• [cs.CV]CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
• [cs.CV]C^3Net: End-to-End deep learning for efficient real-time visual active camera control
• [cs.CV]CarveNet: Carving Point-Block for Complex 3D Shape Completion
• [cs.CV]Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
• [cs.CV]DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
• [cs.CV]DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices
• [cs.CV]Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
• [cs.CV]Evaluating the Use of Reconstruction Error for Novelty Localization
• [cs.CV]Experimenting with Self-Supervision using Rotation Prediction for Image Captioning
• [cs.CV]Global Aggregation then Local Distribution for Scene Parsing
• [cs.CV]Graph Constrained Data Representation Learning for Human Motion Segmentation
• [cs.CV]Image color correction, enhancement, and editing
• [cs.CV]Improving Multi-View Stereo via Super-Resolution
• [cs.CV]Improving Video Instance Segmentation via Temporal Pyramid Routing
• [cs.CV]Inferring bias and uncertainty in camera calibration
• [cs.CV]Is Object Detection Necessary for Human-Object Interaction Recognition?
• [cs.CV]Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans
• [cs.CV]Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
• [cs.CV]MixFaceNets: Extremely Efficient Face Recognition Networks
• [cs.CV]Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
• [cs.CV]Neural Rays for Occlusion-aware Image-based Rendering
• [cs.CV]Normalization Matters in Weakly Supervised Object Localization
• [cs.CV]PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
• [cs.CV]Predicting the Future from First Person (Egocentric) Vision: A Survey
• [cs.CV]Pseudo-LiDAR Based Road Detection
• [cs.CV]Rank-based verification for long-term face tracking in crowded scenes
• [cs.CV]Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
• [cs.CV]Shape Controllable Virtual Try-on for Underwear Models
• [cs.CV]SimROD: A Simple Adaptation Method for Robust Object Detection
• [cs.CV]Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
• [cs.CV]StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
• [cs.CV]Subjective evaluation of traditional and learning-based image coding methods
• [cs.CV]Surrogate Model-Based Explainability Methods for Point Cloud NNs
• [cs.CV]Task-Specific Normalization for Continual Learning of Blind Image Quality Models
• [cs.CV]TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021
• [cs.CV]Unsupervised Monocular Depth Estimation in Highly Complex Environments
• [cs.CV]Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)
• [cs.CV]WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
• [cs.CY]Evaluating the weight sensitivity in AHP-based flood risk estimation models
• [cs.DB]Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
• [cs.DB]RingBFT: Resilient Consensus over Sharded Ring Topology
• [cs.DC]A Case Study on the Stability of Performance Tests for Serverless Applications
• [cs.DC]A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre
• [cs.DC]Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs
• [cs.DC]C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
• [cs.DC]The Trip to The Enterprise Gourmet Data Product Marketplace through a Self-service Data Platform
• [cs.DL]Library and Information Science Research in Indian Universities: Growth, Core Journals, Keywords and Collaboration Patterns
• [cs.DS]#card=math&code=%281%2B%CE%B5%29&id=MTJ4n)-Approximate Shortest Paths in Dynamic Streams
• [cs.HC]An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers
• [cs.HC]The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
• [cs.HC]Towards Emotion-Aware Agents For Negotiation Dialogues
• [cs.IR]A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
• [cs.IR]Ranker-agnostic Contextual Position Bias Estimation
• [cs.IR]Reenvisioning Collaborative Filtering vs Matrix Factorization
• [cs.IR]Understanding and Generalizing Monotonic Proximity Graphs for Approximate Nearest Neighbor Search
• [cs.IT]A family of codes with variable locality and availability
• [cs.IT]Finding Better Precoding in Massive MIMO using Optimization Approach
• [cs.IT]On Optimal Quantization in Sequential Detection
• [cs.IT]On the Construction of Protograph-based Partially Doped GLDPC Codes
• [cs.IT]Optimal Capacity-Driven Design of Aperiodic Clustered Phased Arrays for Multi-User MIMO Communication Systems
• [cs.IT]Performance Analysis of Dual-Hop THz Transmission Systems over - Fading Channels with Pointing Errors
• [cs.IT]Structural Complexity of One-Dimensional Random Geometric Graphs
• [cs.LG]A Payload Optimization Method for Federated Recommender Systems
• [cs.LG]A Reflection on Learning from Data: Epistemology Issues and Limitations
• [cs.LG]AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
• [cs.LG]Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens
• [cs.LG]Bayesian Autoencoders for Drift Detection in Industrial Environments
• [cs.LG]Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection
• [cs.LG]Chance constrained conic-segmentation support vector machine with uncertain data
• [cs.LG]Dataset Distillation with Infinitely Wide Convolutional Networks
• [cs.LG]Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition
• [cs.LG]Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators
• [cs.LG]Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
• [cs.LG]End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
• [cs.LG]Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
• [cs.LG]Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse
• [cs.LG]Homogeneous Architecture Augmentation for Neural Predictor
• [cs.LG]Learned Optimizers for Analytic Continuation
• [cs.LG]Learning with Multiclass AUC: Theory and Algorithms
• [cs.LG]MARViN — Multiple Arithmetic Resolutions Vacillating in Neural Networks
• [cs.LG]Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
• [cs.LG]Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
• [cs.LG]Neural Network Approximation of Refinable Functions
• [cs.LG]New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
• [cs.LG]Pixyz: a library for developing deep generative models
• [cs.LG]ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors
• [cs.LG]Robust and Active Learning for Deep Neural Network Regression
• [cs.LG]SONG: Self-Organizing Neural Graphs
• [cs.LG]Self-Supervised Hybrid Inference in State-Space Models
• [cs.LG]Snippet Policy Network for Multi-class Varied-length ECG Early Classification
• [cs.LG]Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
• [cs.LG]Structack: Structure-based Adversarial Attacks on Graph Neural Networks
• [cs.LG]The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior
• [cs.LG]Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
• [cs.LG]Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
• [cs.LG]Unsupervised Learning of Neurosymbolic Encoders
• [cs.LO]Satisfiability and Synthesis Modulo Oracles
• [cs.MA]Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
• [cs.MM]Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
• [cs.NE]Automated Design of Heuristics for the Container Relocation Problem
• [cs.NE]HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
• [cs.NE]Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey
• [cs.NE]Neuromorphic scaling advantages for energy-efficient random walk computation
• [cs.NI]Q-Learning for Conflict Resolution in B5G Network Automation
• [cs.PL]Functorial String Diagrams for Reverse-Mode Automatic Differentiation
• [cs.RO]A strawberry harvest-aiding system with crop-transport co-robots: Design, development, and field evaluation
• [cs.RO]A-star path planning simulation for UAS Traffic Management (UTM) application
• [cs.RO]Marine Vehicles Localization Using Grid Cells for Path Integration
• [cs.RO]Thrust Direction Control of an Underactuated Oscillating Swimming Robot
• [cs.RO]Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
• [cs.RO]Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices
• [cs.SE]Checking Patch Behaviour against Test Specification
• [cs.SI]Co-evolution of Rumor Diffusion and Structural Stability in Signed Social Networks
• [cs.SI]Social media emotion macroscopes reflect emotional experiences in society at large
• [eess.AS]A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
• [eess.AS]Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition
• [eess.IV]AI assisted method for efficiently generating breast ultrasound screening reports
• [eess.IV]An explainable two-dimensional single model deep learning approach for Alzheimer’s disease diagnosis and brain atrophy localization
• [eess.IV]High-speed object detection with a single-photon time-of-flight image sensor
• [eess.IV]Insights from Generative Modeling for Neural Video Compression
• [eess.IV]Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
• [eess.IV]TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
• [eess.IV]Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
• [eess.SP]The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
• [math.OC]Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
• [math.OC]Dynamic Programming and Linear Programming for Odds Problem
• [math.OC]Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
• [math.PR]Recursive Estimation of a Failure Probability for a Lipschitz Function
• [math.PR]Refined Cramér Type Moderate Deviation Theorems for General Self-normalized Sums with Applications to Dependent Random Variables and Winsorized Mean
• [math.ST]Global minimizers, strict and non-strict saddle points, and implicit regularization for deep linear neural networks
• [math.ST]Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
• [math.ST]One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters
• [math.ST]Sparse approximation of triangular transports. Part II: the infinite dimensional case
• [nucl-th]Self-learning Emulators and Eigenvector Continuation
• [physics.flu-dyn]A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC)
• [physics.soc-ph]Hiding in Temporal Networks
• [q-fin.TR]Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction
• [quant-ph]Queue-Channel Capacities with Generalized Amplitude Damping
• [stat.AP]MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
• [stat.AP]Non-stationarity in correlation matrices for wind turbine SCADA-data and implications for failure detection
• [stat.ME]An Aggregation Scheme for Increased Power in Primary Outcome Analysis
• [stat.ME]Identification of parameters in the torsional dynamics of a drilling process through Bayesian statistics
• [stat.ME]Modeling the systematic behavior at the micro and nano length scale
• [stat.ME]Survival stacking: casting survival analysis as a classification problem
• [stat.ML]Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary
·····································
• [cond-mat.stat-mech]Supervised Learning and the Finite-Temperature String Method for Computing Committor Functions and Reaction Rates
Muhammad R. Hasyim, Clay H. Batton, Kranthi K. Mandadapu
http://arxiv.org/abs/2107.13522v1
• [cs.AI]Artificial Intelligence in Healthcare: Lost In Translation?
Vince I. Madai, David C. Higgins
http://arxiv.org/abs/2107.13454v1
• [cs.AI]Conflict Detection in IoT-based Smart Homes
Bing Huang, Hai Dong, Athman Bouguettaya
http://arxiv.org/abs/2107.13179v1
• [cs.AI]Exceeding the Limits of Visual-Linguistic Multi-Task Learning
Cameron R. Wolfe, Keld T. Lundgaard
http://arxiv.org/abs/2107.13054v1
• [cs.AI]Exploring and mining attributed sequences of interactions
Tiphaine Viard, Henry Soldano, Guillaume Santini
http://arxiv.org/abs/2107.13329v1
• [cs.AI]MWP-BERT: A Strong Baseline for Math Word Problems
Zhenwen Liang, Jipeng Zhang, Jie Shao, Xiangliang Zhang
http://arxiv.org/abs/2107.13435v1
• [cs.AI]On Improving the Backjump Level in PB Solvers
Romain Wallon
http://arxiv.org/abs/2107.13085v1
• [cs.AI]Packet Routing with Graph Attention Multi-agent Reinforcement Learning
Xuan Mai, Quanzhi Fu, Yi Chen
http://arxiv.org/abs/2107.13181v1
• [cs.AI]Tab2Know: Building a Knowledge Base from Tables in Scientific Papers
Benno Kruit, Hongyu He, Jacopo Urbani
http://arxiv.org/abs/2107.13306v1
• [cs.AI]The social dilemma in AI development and why we have to solve it
Inga Strümke, Marija Slavkovik, Vince I. Madai
http://arxiv.org/abs/2107.12977v2
• [cs.AI]Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective
Cheng Zhang, Jinwoo Kim, JungHo Jeon, Jinding Xing, Changbum Ahn, Pingbo Tang, Hubo Cai
http://arxiv.org/abs/2107.13498v1
• [cs.CL]Arabic aspect based sentiment analysis using BERT
Mohammed M. Abdelgwad
http://arxiv.org/abs/2107.13290v1
• [cs.CL]Emotion Stimulus Detection in German News Headlines
Bao Minh Doan Dang, Laura Oberländer, Roman Klinger
http://arxiv.org/abs/2107.12920v2
• [cs.CL]Goal-Oriented Script Construction
Qing Lyu, Li Zhang, Chris Callison-Burch
http://arxiv.org/abs/2107.13189v1
• [cs.CL]Growing knowledge culturally across generations to solve novel, complex tasks
Michael Henry Tessler, Pedro A. Tsividis, Jason Madeano, Brin Harper, Joshua B. Tenenbaum
http://arxiv.org/abs/2107.13377v1
• [cs.CL]Multi-Scale Feature and Metric Learning for Relation Extraction
Mi Zhang, Tieyun Qian
http://arxiv.org/abs/2107.13425v1
• [cs.CL]Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation
Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang
http://arxiv.org/abs/2107.13077v1
• [cs.CL]Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings
Vivek Kalyan, Sam Witteveen, Martin Andrews
http://arxiv.org/abs/2107.13031v1
• [cs.CL]Towards Robustness Against Natural Language Word Substitutions
Xinshuai Dong, Anh Tuan Luu, Rongrong Ji, Hong Liu
http://arxiv.org/abs/2107.13541v1
• [cs.CL]gaBERT — an Irish Language Model
James Barry, Joachim Wagner, Lauren Cassidy, Alan Cowap, Teresa Lynn, Abigail Walsh, Mícheál J. Ó Meachair, Jennifer Foster
http://arxiv.org/abs/2107.12930v2
• [cs.CR]XFL: eXtreme Function Labeling
James Patrick-Evans, Moritz Dannehl, Johannes Kinder
http://arxiv.org/abs/2107.13404v1
• [cs.CV]A Computer Vision-Based Approach for Driver Distraction Recognition using Deep Learning and Genetic Algorithm Based Ensemble
Ashlesha Kumar, Kuldip Singh Sangwan, Dhiraj
http://arxiv.org/abs/2107.13355v1
• [cs.CV]A New Split for Evaluating True Zero-Shot Action Recognition
Shreyank N Gowda, Laura Sevilla-Lara, Kiyoon Kim, Frank Keller, Marcus Rohrbach
http://arxiv.org/abs/2107.13029v1
• [cs.CV]A Novel CropdocNet for Automated Potato Late Blight Disease Detection from the Unmanned Aerial Vehicle-based Hyperspectral Imagery
Yue Shi, Liangxiu Han, Anthony Kleerekoper, Sheng Chang, Tongle Hu
http://arxiv.org/abs/2107.13277v1
• [cs.CV]A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision
Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve Jiang
http://arxiv.org/abs/2107.13465v1
• [cs.CV]A Tale Of Two Long Tails
Daniel D’souza, Zach Nussbaum, Chirag Agarwal, Sara Hooker
http://arxiv.org/abs/2107.13098v1
• [cs.CV]A Thorough Review on Recent Deep Learning Methodologies for Image Captioning
Ahmed Elhagry, Karima Kadaoui
http://arxiv.org/abs/2107.13114v1
• [cs.CV]Accurate Grid Keypoint Learning for Efficient Video Prediction
Xiaojie Gao, Yueming Jin, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng
http://arxiv.org/abs/2107.13170v1
• [cs.CV]Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection
Shi-Xue Zhang, Xiaobin Zhu, Chun Yang, Hongfa Wang, Xu-Cheng Yin
http://arxiv.org/abs/2107.12664v2
• [cs.CV]Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate
Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo
http://arxiv.org/abs/2107.13469v1
• [cs.CV]Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations
Ze Yang, Haofei Wang, Feng Lu
http://arxiv.org/abs/2107.13193v1
• [cs.CV]Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth
Chenhang He, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang
http://arxiv.org/abs/2107.13269v1
• [cs.CV]Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
Reece Walsh, Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed
http://arxiv.org/abs/2107.13093v1
• [cs.CV]CRD-CGAN: Category-Consistent and Relativistic Constraints for Diverse Text-to-Image Generation
Tao Hu, Chengjiang Long, Chunxia Xiao
http://arxiv.org/abs/2107.13516v1
• [cs.CV]C^3Net: End-to-End deep learning for efficient real-time visual active camera control
Christos Kyrkou
http://arxiv.org/abs/2107.13233v1
• [cs.CV]CarveNet: Carving Point-Block for Complex 3D Shape Completion
Qing Guo, Zhijie Wang, Felix Juefei-Xu, Di Lin, Lei Ma, Wei Feng, Yang Liu
http://arxiv.org/abs/2107.13452v1
• [cs.CV]Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko
http://arxiv.org/abs/2107.13144v1
• [cs.CV]DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
Yanchao Yang, Yuefan Shen, Youyi Zheng, C. Karen Liu, Leonidas Guibas
http://arxiv.org/abs/2107.13087v1
• [cs.CV]DeepTeeth: A Teeth-photo Based Human Authentication System for Mobile and Hand-held Devices
Geetika Arora, Rohit K Bharadwaj, Kamlesh Tiwari
http://arxiv.org/abs/2107.13217v1
• [cs.CV]Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou
http://arxiv.org/abs/2107.13118v1
• [cs.CV]Evaluating the Use of Reconstruction Error for Novelty Localization
Patrick Feeney, Michael C. Hughes
http://arxiv.org/abs/2107.13379v1
• [cs.CV]Experimenting with Self-Supervision using Rotation Prediction for Image Captioning
Ahmed Elhagry, Karima Kadaoui
http://arxiv.org/abs/2107.13111v1
• [cs.CV]Global Aggregation then Local Distribution for Scene Parsing
Xiangtai Li, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Xiatian Zhu, Tao Xiang
http://arxiv.org/abs/2107.13154v1
• [cs.CV]Graph Constrained Data Representation Learning for Human Motion Segmentation
Mariella Dimiccoli, Lluís Garrido, Guillem Rodriguez-Corominas, Herwig Wendt
http://arxiv.org/abs/2107.13362v1
• [cs.CV]Image color correction, enhancement, and editing
Mahmoud Afifi
http://arxiv.org/abs/2107.13117v1
• [cs.CV]Improving Multi-View Stereo via Super-Resolution
Eugenio Lomurno, Andrea Romanoni, Matteo Matteucci
http://arxiv.org/abs/2107.13261v1
• [cs.CV]Improving Video Instance Segmentation via Temporal Pyramid Routing
Xiangtai Li, Hao He, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Jianping Shi, Yunhai Tong
http://arxiv.org/abs/2107.13155v1
• [cs.CV]Inferring bias and uncertainty in camera calibration
Annika Hagemann, Moritz Knorr, Holger Janssen, Christoph Stiller
http://arxiv.org/abs/2107.13484v1
• [cs.CV]Is Object Detection Necessary for Human-Object Interaction Recognition?
Ying Jin, Yinpeng Chen, Lijuan Wang, Jianfeng Wang, Pei Yu, Zicheng Liu, Jenq-Neng Hwang
http://arxiv.org/abs/2107.13083v1
• [cs.CV]Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans
Maximilian Weiherer, Andreas Eigenberger, Vanessa Brébant, Lukas Prantl, Christoph Palm
http://arxiv.org/abs/2107.13463v1
• [cs.CV]Learning-Based Depth and Pose Estimation for Monocular Endoscope with Loss Generalization
Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki
http://arxiv.org/abs/2107.13263v1
• [cs.CV]MixFaceNets: Extremely Efficient Face Recognition Networks
Fadi Boutros, Naser Damer, Meiling Fang, Florian Kirchbuchner, Arjan Kuijper
http://arxiv.org/abs/2107.13046v1
• [cs.CV]Multi Point-Voxel Convolution (MPVConv) for Deep Learning on Point Clouds
Wei Zhou, Xin Cao, Xiaodan Zhang, Xingxing Hao, Dekui Wang, Ying He
http://arxiv.org/abs/2107.13152v1
• [cs.CV]Neural Rays for Occlusion-aware Image-based Rendering
Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang
http://arxiv.org/abs/2107.13421v1
• [cs.CV]Normalization Matters in Weakly Supervised Object Localization
Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
http://arxiv.org/abs/2107.13221v1
• [cs.CV]PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia
http://arxiv.org/abs/2107.13108v1
• [cs.CV]Predicting the Future from First Person (Egocentric) Vision: A Survey
Ivan Rodin, Antonino Furnari, Dimitrios Mavroedis, Giovanni Maria Farinella
http://arxiv.org/abs/2107.13411v1
• [cs.CV]Pseudo-LiDAR Based Road Detection
Libo Sun, Haokui Zhang, Wei Yin
http://arxiv.org/abs/2107.13279v1
• [cs.CV]Rank-based verification for long-term face tracking in crowded scenes
Germán Barquero, Isabelle Hupont, Carles Fernández
http://arxiv.org/abs/2107.13273v1
• [cs.CV]Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation
Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu
http://arxiv.org/abs/2107.13467v1
• [cs.CV]Shape Controllable Virtual Try-on for Underwear Models
Xin Gao, Zhenjiang Liu, Zunlei Feng, Chengji Shen, Kairi Ou, Haihong Tang, Mingli Song
http://arxiv.org/abs/2107.13156v1
• [cs.CV]SimROD: A Simple Adaptation Method for Robust Object Detection
Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang
http://arxiv.org/abs/2107.13389v1
• [cs.CV]Spatial Uncertainty-Aware Semi-Supervised Crowd Counting
Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng
http://arxiv.org/abs/2107.13271v1
• [cs.CV]StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement
Yuda Song, Hui Qian, Xin Du
http://arxiv.org/abs/2107.12898v2
• [cs.CV]Subjective evaluation of traditional and learning-based image coding methods
Zhigao Fang, Jiaqi Zhang, Lu Yu, Yin Zhao
http://arxiv.org/abs/2107.13122v1
• [cs.CV]Surrogate Model-Based Explainability Methods for Point Cloud NNs
Hanxiao Tan, Helena Kotthaus
http://arxiv.org/abs/2107.13459v1
• [cs.CV]Task-Specific Normalization for Continual Learning of Blind Image Quality Models
Weixia Zhang, Kede Ma, Guangtao Zhai, Xiaokang Yang
http://arxiv.org/abs/2107.13429v1
• [cs.CV]TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021
Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo, Guang-Zhong Yang
http://arxiv.org/abs/2107.13259v1
• [cs.CV]Unsupervised Monocular Depth Estimation in Highly Complex Environments
Chaoqiang Zhao, Yang Tang, Qiyu Sun
http://arxiv.org/abs/2107.13137v1
• [cs.CV]Unsupervised Segmentation for Terracotta Warrior with Seed-Region-Growing CNN(SRG-Net)
Yao Hu, Guohua Geng, Kang Li, Wei Zhou, Xingxing Hao, Xin Cao
http://arxiv.org/abs/2107.13167v1
• [cs.CV]WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification
Qiufu Li, Linlin Shen, Sheng Guo, Zhihui Lai
http://arxiv.org/abs/2107.13335v1
• [cs.CY]Evaluating the weight sensitivity in AHP-based flood risk estimation models
Hongping Zhang, Zhenfeng Shao, Bin Hua, Xiao Huang, Jinqi Zhao, Wenfu Wu, Yewen Fan
http://arxiv.org/abs/2107.13368v1
• [cs.DB]Removing Operational Friction Using Process Mining: Challenges Provided by the Internet of Production (IoP)
Wil van der Aalst, Tobias Brockhoff, Anahita Farhang Ghahfarokhi, Mahsa Pourbafrani, Merih Seran Uysal, Sebastiaan van Zelst
http://arxiv.org/abs/2107.13066v1
• [cs.DB]RingBFT: Resilient Consensus over Sharded Ring Topology
Sajjad Rahnama, Suyash Gupta, Rohan Sogani, Dhruv Krishnan, Mohammad Sadoghi
http://arxiv.org/abs/2107.13047v1
• [cs.DC]A Case Study on the Stability of Performance Tests for Serverless Applications
Simon Eismann, Diego Elias Costa, Lizhi Liao, Cor-Paul Bezemer, Weiyi Shang, André van Hoorn, Samuel Kounev
http://arxiv.org/abs/2107.13320v1
• [cs.DC]A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre
Deepika Saxena, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh, Xiaoqing Wen
http://arxiv.org/abs/2107.13502v1
• [cs.DC]Accelerating advection for atmospheric modelling on Xilinx and Intel FPGAs
Nick Brown
http://arxiv.org/abs/2107.13500v1
• [cs.DC]C3O: Collaborative Cluster Configuration Optimization for Distributed Data Processing in Public Clouds
Jonathan Will, Lauritz Thamsen, Dominik Scheinert, Jonathan Bader, Odej Kao
http://arxiv.org/abs/2107.13317v1
• [cs.DC]The Trip to The Enterprise Gourmet Data Product Marketplace through a Self-service Data Platform
Michal Zasadzinski, Michael Theodoulou, Markus Thurner, Kshitij Ranganath
http://arxiv.org/abs/2107.13212v1
• [cs.DL]Library and Information Science Research in Indian Universities: Growth, Core Journals, Keywords and Collaboration Patterns
Swapan Kumar Patra
http://arxiv.org/abs/2107.13238v1
• [cs.DS]#card=math&code=%281%2B%CE%B5%29&id=CahOU)-Approximate Shortest Paths in Dynamic Streams
Michael Elkin, Chhaya Trehan
http://arxiv.org/abs/2107.13309v1
• [cs.HC]An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers
Lu Wang, Munif Ishad Mujib, Jake Williams, George Demiris, Jina Huh-Yoo
http://arxiv.org/abs/2107.13115v1
• [cs.HC]The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
Upol Ehsan, Samir Passi, Q. Vera Liao, Larry Chan, I-Hsiang Lee, Michael Muller, Mark O. Riedl
http://arxiv.org/abs/2107.13509v1
• [cs.HC]Towards Emotion-Aware Agents For Negotiation Dialogues
Kushal Chawla, Rene Clever, Jaysa Ramirez, Gale Lucas, Jonathan Gratch
http://arxiv.org/abs/2107.13165v1
• [cs.IR]A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
Alexander Dallmann, Daniel Zoller, Andreas Hotho
http://arxiv.org/abs/2107.13045v1
• [cs.IR]Ranker-agnostic Contextual Position Bias Estimation
Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz, Giuseppe Di Benedetto, Diego Marco Granziol, Matteo Ruffini, Yannik Stein
http://arxiv.org/abs/2107.13327v1
• [cs.IR]Reenvisioning Collaborative Filtering vs Matrix Factorization
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo
http://arxiv.org/abs/2107.13472v1
• [cs.IR]Understanding and Generalizing Monotonic Proximity Graphs for Approximate Nearest Neighbor Search
Dantong Zhu, Minjia Zhang
http://arxiv.org/abs/2107.13052v1
• [cs.IT]A family of codes with variable locality and availability
Cícero Carvalho, Victor G. L. Neumann
http://arxiv.org/abs/2107.13487v1
• [cs.IT]Finding Better Precoding in Massive MIMO using Optimization Approach
Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
http://arxiv.org/abs/2107.13440v1
• [cs.IT]On Optimal Quantization in Sequential Detection
Michael Fauß, Manuel S. Stein, H. Vincent Poor
http://arxiv.org/abs/2107.13412v1
• [cs.IT]On the Construction of Protograph-based Partially Doped GLDPC Codes
Jaewha Kim, Jae-Won Kim, Jong-Seon No
http://arxiv.org/abs/2107.12534v2
• [cs.IT]Optimal Capacity-Driven Design of Aperiodic Clustered Phased Arrays for Multi-User MIMO Communication Systems
N. Anselmi, P. Rocca, S. Feuchtinger, B. Biscontini, A. M. Barrera, A. Massa
http://arxiv.org/abs/2107.13544v1
• [cs.IT]Performance Analysis of Dual-Hop THz Transmission Systems over - Fading Channels with Pointing Errors
Sai Li, Liang Yang
http://arxiv.org/abs/2107.13166v1
• [cs.IT]Structural Complexity of One-Dimensional Random Geometric Graphs
Mihai-Alin Badiu, Justin P. Coon
http://arxiv.org/abs/2107.13495v1
• [cs.LG]A Payload Optimization Method for Federated Recommender Systems
Farwa K. Khan, Adrian Flanagan, Kuan E. Tan, Zareen Alamgir, Muhammad Ammad-Ud-Din
http://arxiv.org/abs/2107.13078v1
• [cs.LG]A Reflection on Learning from Data: Epistemology Issues and Limitations
Ahmad Hammoudeh, Sara Tedmori, Nadim Obeid
http://arxiv.org/abs/2107.13270v1
• [cs.LG]AutoML Meets Time Series Regression Design and Analysis of the AutoSeries Challenge
Zhen Xu, Wei-Wei Tu, Isabelle Guyon
http://arxiv.org/abs/2107.13186v1
• [cs.LG]Automatic Unstructured Handwashing Recognition using Smartwatch to Reduce Contact Transmission of Pathogens
Emanuele Lattanzi, Lorenzo Calisti, Valerio Freschi
http://arxiv.org/abs/2107.13405v1
• [cs.LG]Bayesian Autoencoders for Drift Detection in Industrial Environments
Bang Xiang Yong, Yasmin Fathy, Alexandra Brintrup
http://arxiv.org/abs/2107.13249v1
• [cs.LG]Bayesian Autoencoders: Analysing and Fixing the Bernoulli likelihood for Out-of-Distribution Detection
Bang Xiang Yong, Tim Pearce, Alexandra Brintrup
http://arxiv.org/abs/2107.13304v1
• [cs.LG]Chance constrained conic-segmentation support vector machine with uncertain data
Shen Peng, Gianpiero Canessa
http://arxiv.org/abs/2107.13319v1
• [cs.LG]Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen, Roman Novak, Lechao Xiao, Jaehoon Lee
http://arxiv.org/abs/2107.13034v1
• [cs.LG]Deep Recurrent Semi-Supervised EEG Representation Learning for Emotion Recognition
Guangyi Zhang, Ali Etemad
http://arxiv.org/abs/2107.13505v1
• [cs.LG]Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators
Alicia Curth, Mihaela van der Schaar
http://arxiv.org/abs/2107.13346v1
• [cs.LG]Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks
Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
http://arxiv.org/abs/2107.13312v1
• [cs.LG]End-to-End Balancing for Causal Continuous Treatment-Effect Estimation
Mohammad Taha Bahadori, Eric Tchetgen Tchetgen, David E. Heckerman
http://arxiv.org/abs/2107.13068v1
• [cs.LG]Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification
Yu Wang, Yuesong Shen, Daniel Cremers
http://arxiv.org/abs/2107.13059v1
• [cs.LG]Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse
Yihong Yang, Sheng Ding, Yuwen Liu, Shunmei Meng, Xiaoxiao Chi, Rui Ma, Chao Yan
http://arxiv.org/abs/2107.13353v1
• [cs.LG]Homogeneous Architecture Augmentation for Neural Predictor
Yuqiao Liu, Yehui Tang, Yanan Sun
http://arxiv.org/abs/2107.13153v1
• [cs.LG]Learned Optimizers for Analytic Continuation
Dongchen Huang, Yi-feng Yang
http://arxiv.org/abs/2107.13265v1
• [cs.LG]Learning with Multiclass AUC: Theory and Algorithms
Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang
http://arxiv.org/abs/2107.13171v1
• [cs.LG]MARViN — Multiple Arithmetic Resolutions Vacillating in Neural Networks
Lorenz Kummer, Kevin Sidak, Tabea Reichmann, Wilfried Gansterer
http://arxiv.org/abs/2107.13490v1
• [cs.LG]Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases
Ettore Merlo, Mira Marhaba, Foutse Khomh, Houssem Ben Braiek, Giuliano Antoniol
http://arxiv.org/abs/2107.13491v1
• [cs.LG]Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
Yuxin He, Lishuai Li, Xinting Zhu, Kwok Leung Tsui
http://arxiv.org/abs/2107.13226v1
• [cs.LG]Neural Network Approximation of Refinable Functions
Ingrid Daubechies, Ronald DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober
http://arxiv.org/abs/2107.13191v1
• [cs.LG]New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
Siddharth Divi, Yi-Shan Lin, Habiba Farrukh, Z. Berkay Celik
http://arxiv.org/abs/2107.13173v1
• [cs.LG]Pixyz: a library for developing deep generative models
Masahiro Suzuki, Takaaki Kaneko, Yutaka Matsuo
http://arxiv.org/abs/2107.13109v1
• [cs.LG]ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors
Charles Sun, Jędrzej Orbik, Coline Devin, Brian Yang, Abhishek Gupta, Glen Berseth, Sergey Levine
http://arxiv.org/abs/2107.13545v1
• [cs.LG]Robust and Active Learning for Deep Neural Network Regression
Xi Li, George Kesidis, David J. Miller, Maxime Bergeron, Ryan Ferguson, Vladimir Lucic
http://arxiv.org/abs/2107.13124v1
• [cs.LG]SONG: Self-Organizing Neural Graphs
Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
http://arxiv.org/abs/2107.13214v1
• [cs.LG]Self-Supervised Hybrid Inference in State-Space Models
David Ruhe, Patrick Forré
http://arxiv.org/abs/2107.13349v1
• [cs.LG]Snippet Policy Network for Multi-class Varied-length ECG Early Classification
Yu Huang, Gary G. Yen, Vincent S. Tseng
http://arxiv.org/abs/2107.13361v1
• [cs.LG]Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei, Yining Chen, Tengyu Ma
http://arxiv.org/abs/2107.13163v1
• [cs.LG]Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern
http://arxiv.org/abs/2107.11327v2
• [cs.LG]The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior
Bassam Helou, Aditya Dusi, Anne Collin, Noushin Mehdipour, Zhiliang Chen, Cristhian Lizarazo, Calin Belta, Tichakorn Wongpiromsarn, Radboud Duintjer Tebbens, Oscar Beijbom
http://arxiv.org/abs/2107.13507v1
• [cs.LG]Towards Neural Schema Alignment for OpenStreetMap and Knowledge Graphs
Alishiba Dsouza, Nicolas Tempelmeier, Elena Demidova
http://arxiv.org/abs/2107.13257v1
• [cs.LG]Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning
Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, AmirReza Tajally, Hamzeh Asgharnezhad, Afshar Shamsi, Abbas Khosravi, Miadreza Shafie-Khah, Saeid Nahavandi, Joao P. S. Catalao
http://arxiv.org/abs/2107.13508v1
• [cs.LG]Unsupervised Learning of Neurosymbolic Encoders
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
http://arxiv.org/abs/2107.13132v1
• [cs.LO]Satisfiability and Synthesis Modulo Oracles
Elizabeth Polgreen, Andrew Reynolds, Sanjit A. Seshia
http://arxiv.org/abs/2107.13477v1
• [cs.MA]Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
Bang Xiang Yong, Alexandra Brintrup
http://arxiv.org/abs/2107.13252v1
• [cs.MM]Squeeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Aaron Lopez-Garcia, Pedro Zuccarello, Maximo Cobos, Francesc J. Ferri
http://arxiv.org/abs/2107.13180v1
• [cs.NE]Automated Design of Heuristics for the Container Relocation Problem
Mrko Đurasević, Mateja Đumić
http://arxiv.org/abs/2107.13313v1
• [cs.NE]HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification
Gourav Datta, Souvik Kundu, Akhilesh R. Jaiswal, Peter A. Beerel
http://arxiv.org/abs/2107.11979v2
• [cs.NE]Heuristic and Metaheuristic Methods for the Unrelated Machines Scheduling Problem: A Survey
Marko Đurasević, Domagoj Jakobović
http://arxiv.org/abs/2107.13106v1
• [cs.NE]Neuromorphic scaling advantages for energy-efficient random walk computation
J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone
http://arxiv.org/abs/2107.13057v1
• [cs.NI]Q-Learning for Conflict Resolution in B5G Network Automation
Sayantini Majumdar, Riccardo Trivisonno, Georg Carle
http://arxiv.org/abs/2107.13268v1
• [cs.PL]Functorial String Diagrams for Reverse-Mode Automatic Differentiation
Mario Alvarez-Picallo, Dan R. Ghica, David Sprunger, Fabio Zanasi
http://arxiv.org/abs/2107.13433v1
• [cs.RO]A strawberry harvest-aiding system with crop-transport co-robots: Design, development, and field evaluation
Chen Peng, Stavros Vougioukas, David Slaughter, Zhenghao Fei, Rajkishan Arikapudi
http://arxiv.org/abs/2107.13063v1
• [cs.RO]A-star path planning simulation for UAS Traffic Management (UTM) application
Carlos Augusto Pötter Neto, Gustavo de Carvalho Bertoli, Osamu Saotome
http://arxiv.org/abs/2107.13103v1
• [cs.RO]Marine Vehicles Localization Using Grid Cells for Path Integration
Ignacio Carlucho, Manuel F. Bailey, Mariano De Paula, Corina Barbalata
http://arxiv.org/abs/2107.13461v1
• [cs.RO]Thrust Direction Control of an Underactuated Oscillating Swimming Robot
Gedaliah Knizhnik, Mark Yim
http://arxiv.org/abs/2107.13055v1
• [cs.RO]Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings
Sreehari Rammohan, Shangqun Yu, Bowen He, Eric Hsiung, Eric Rosen, Stefanie Tellex, George Konidaris
http://arxiv.org/abs/2107.13356v1
• [cs.RO]Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices
Yang Chen, Diego Paez-Granados, Bruno Leme, Kenji Suzuki
http://arxiv.org/abs/2107.13365v1
• [cs.SE]Checking Patch Behaviour against Test Specification
Haoye Tian, Yinghua Li, Weiguo Pian, Abdoul Kader Kaboré, Kui Liu, Jacques Klein, Tegawendé F. Bissyande
http://arxiv.org/abs/2107.13296v1
• [cs.SI]Co-evolution of Rumor Diffusion and Structural Stability in Signed Social Networks
Temirlan Kalimzhanov, Amir Haji Ali Khamseh’i, Aresh Dadlani, Muthukrishnan Senthil Kumar, Ahmad Khonsari
http://arxiv.org/abs/2107.13437v1
• [cs.SI]Social media emotion macroscopes reflect emotional experiences in society at large
David Garcia, Max Pellert, Jana Lasser, Hannah Metzler
http://arxiv.org/abs/2107.13236v1
• [eess.AS]A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
Uddipan Mukherjee, Sidharth Pancholi
http://arxiv.org/abs/2107.13237v1
• [eess.AS]Continual-wav2vec2: an Application of Continual Learning for Self-Supervised Automatic Speech Recognition
Samuel Kessler, Bethan Thomas, Salah Karout
http://arxiv.org/abs/2107.13530v1
• [eess.IV]AI assisted method for efficiently generating breast ultrasound screening reports
Shuang Ge, Qiongyu Ye, Wenquan Xie, Desheng Sun, Huabin Zhang, Xiaobo Zhou, Kehong Yuan
http://arxiv.org/abs/2107.13431v1
• [eess.IV]An explainable two-dimensional single model deep learning approach for Alzheimer’s disease diagnosis and brain atrophy localization
Fan Zhang, Bo Pan, Pengfei Shao, Peng Liu, Shuwei Shen, Peng Yao, Ronald X. Xu
http://arxiv.org/abs/2107.13200v1
• [eess.IV]High-speed object detection with a single-photon time-of-flight image sensor
Germán Mora-Martín, Alex Turpin, Alice Ruget, Abderrahim Halimi, Robert Henderson, Jonathan Leach, Istvan Gyongy
http://arxiv.org/abs/2107.13407v1
• [eess.IV]Insights from Generative Modeling for Neural Video Compression
Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt
http://arxiv.org/abs/2107.13136v1
• [eess.IV]Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
Anusua Trivedi, Jocelyn Desbiens, Ron Gross, Sunil Gupta, Rahul Dodhia, Juan Lavista Ferres
http://arxiv.org/abs/2107.13157v1
• [eess.IV]TEDS-Net: Enforcing Diffeomorphisms in Spatial Transformers to Guarantee Topology Preservation in Segmentations
Madeleine K. Wyburd, Nicola K. Dinsdale, Ana I. L. Namburete, Mark Jenkinson
http://arxiv.org/abs/2107.13542v1
• [eess.IV]Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
http://arxiv.org/abs/2107.13048v1
• [eess.SP]The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
Nicolas Valenchon, Yann Bouteiller, Hugo R. Jourde, Emily B. J. Coffey, Giovanni Beltrame
http://arxiv.org/abs/2107.13473v1
• [math.OC]Debiasing In-Sample Policy Performance for Small-Data, Large-Scale Optimization
Vishal Gupta, Michael Huang, Paat Rusmevichientong
http://arxiv.org/abs/2107.12438v2
• [math.OC]Dynamic Programming and Linear Programming for Odds Problem
Sachika Kurokawa, Tomomi Matsui
http://arxiv.org/abs/2107.13146v1
• [math.OC]Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
Ben Hambly, Renyuan Xu, Huining Yang
http://arxiv.org/abs/2107.13090v1
• [math.PR]Recursive Estimation of a Failure Probability for a Lipschitz Function
Lucie Bernard, Albert Cohen, Arnaud Guyader, Florent Malrieu
http://arxiv.org/abs/2107.13369v1
• [math.PR]Refined Cramér Type Moderate Deviation Theorems for General Self-normalized Sums with Applications to Dependent Random Variables and Winsorized Mean
Lan Gao, Qi-Man Shao, Jiasheng Shi
http://arxiv.org/abs/2107.13205v1
• [math.ST]Global minimizers, strict and non-strict saddle points, and implicit regularization for deep linear neural networks
El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz
http://arxiv.org/abs/2107.13289v1
• [math.ST]Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications
Ritwik Sadhu, Ziv Goldfeld, Kengo Kato
http://arxiv.org/abs/2107.13494v1
• [math.ST]One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters
Geoffrey Ecoto, Aurélien Bibaut, Antoine Chambaz
http://arxiv.org/abs/2107.13291v1
• [math.ST]Sparse approximation of triangular transports. Part II: the infinite dimensional case
Jakob Zech, Youssef Marzouk
http://arxiv.org/abs/2107.13422v1
• [nucl-th]Self-learning Emulators and Eigenvector Continuation
Avik Sarkar, Dean Lee
http://arxiv.org/abs/2107.13449v1
• [physics.flu-dyn]A Deep Learning Algorithm for Piecewise Linear Interface Construction (PLIC)
Mohammadmehdi Ataei, Erfan Pirmorad, Franco Costa, Sejin Han, Chul B Park, Markus Bussmann
http://arxiv.org/abs/2107.13067v1
• [physics.soc-ph]Hiding in Temporal Networks
Marcin Waniek, Petter Holme, Talal Rahwan
http://arxiv.org/abs/2107.13174v1
• [q-fin.TR]Combining Machine Learning Classifiers for Stock Trading with Effective Feature Extraction
A. K. M. Amanat Ullah, Fahim Imtiaz, Miftah Uddin Md Ihsan, Md. Golam Rabiul Alam, Mahbub Majumdar
http://arxiv.org/abs/2107.13148v1
• [quant-ph]Queue-Channel Capacities with Generalized Amplitude Damping
Vikesh Siddhu, Avhishek Chatterjee, Krishna Jagannathan, Prabha Mandayam, Sridhar Tayur
http://arxiv.org/abs/2107.13486v1
• [stat.AP]MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns
Kasun Bandara, Rob J Hyndman, Christoph Bergmeir
http://arxiv.org/abs/2107.13462v1
• [stat.AP]Non-stationarity in correlation matrices for wind turbine SCADA-data and implications for failure detection
Henrik M. Bette, Edgar Jungblut, Thomas Guhr
http://arxiv.org/abs/2107.13256v1
• [stat.ME]An Aggregation Scheme for Increased Power in Primary Outcome Analysis
Timothy Lycurgus, Ben B. Hansen
http://arxiv.org/abs/2107.13070v1
• [stat.ME]Identification of parameters in the torsional dynamics of a drilling process through Bayesian statistics
Mario Germán Sandoval, Americo Cunha Jr, Rubens Sampaio
http://arxiv.org/abs/2107.13535v1
• [stat.ME]Modeling the systematic behavior at the micro and nano length scale
Danilo Quagliotti
http://arxiv.org/abs/2107.13075v1
• [stat.ME]Survival stacking: casting survival analysis as a classification problem
Erin Craig, Chenyang Zhong, Robert Tibshirani
http://arxiv.org/abs/2107.13480v1
• [stat.ML]Kernel Density Estimation by Stagewise Algorithm with a Simple Dictionary
Kiheiji Nishida, Kanta Naito
http://arxiv.org/abs/2107.13430v1