cs.AI - 人工智能
    cs.CE - 计算工程、 金融和科学
    cs.CL - 计算与语言
    cs.CR - 加密与安全
    cs.CV - 机器视觉与模式识别
    cs.CY - 计算与社会
    cs.DC - 分布式、并行与集群计算
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.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
    eess.SY - 系统和控制
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    q-bio.GN - 基因组学
    q-fin.CP -计算金融学
    quant-ph - 量子物理
    stat.AP - 应用统计
    stat.CO - 统计计算
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]Fair and Adventurous Enumeration of Quantifier Instantiations
    • [cs.AI]Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
    • [cs.AI]Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation
    • [cs.AI]Stochastic Intervention for Causal Inference via Reinforcement Learning
    • [cs.CE]Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
    • [cs.CL]Accelerating BERT Inference for Sequence Labeling via Early-Exit
    • [cs.CL]Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge
    • [cs.CL]An Explanatory Query-Based Framework for Exploring Academic Expertise
    • [cs.CL]ByT5: Towards a token-free future with pre-trained byte-to-byte models
    • [cs.CL]Changing the World by Changing the Data
    • [cs.CL]Cisco at SemEval-2021 Task 5: What’s Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments
    • [cs.CL]Cross-Lingual Abstractive Summarization with Limited Parallel Resources
    • [cs.CL]Data Augmentation for Text Generation Without Any Augmented Data
    • [cs.CL]Diagnosing Transformers in Task-Oriented Semantic Parsing
    • [cs.CL]Domain-Adaptive Pretraining Methods for Dialogue Understanding
    • [cs.CL]Early Exiting with Ensemble Internal Classifiers
    • [cs.CL]Feature extraction and evaluation for BioMedical Question Answering
    • [cs.CL]Hierarchical Transformer Encoders for Vietnamese Spelling Correction
    • [cs.CL]How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation
    • [cs.CL]ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation
    • [cs.CL]Knowledge Inheritance for Pre-trained Language Models
    • [cs.CL]Language Models Use Monotonicity to Assess NPI Licensing
    • [cs.CL]Learning Approximate and Exact Numeral Systems via Reinforcement Learning
    • [cs.CL]Learning Relation Alignment for Calibrated Cross-modal Retrieval
    • [cs.CL]Lightweight Cross-Lingual Sentence Representation Learning
    • [cs.CL]Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts
    • [cs.CL]Noised Consistency Training for Text Summarization
    • [cs.CL]Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
    • [cs.CL]OTTers: One-turn Topic Transitions for Open-Domain Dialogue
    • [cs.CL]SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)
    • [cs.CL]THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses
    • [cs.CL]What if This Modified That? Syntactic Interventions via Counterfactual Embeddings
    • [cs.CR]AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption
    • [cs.CR]Network Activities Recognition and Analysis Based on Supervised Machine Learning Classification Methods Using J48 and Naïve Bayes Algorithm
    • [cs.CR]Promoting the Acquisition of Hardware Reverse Engineering Skills
    • [cs.CR]Saudi Parents’ Security and Privacy Concerns about their Children’s Smart Device Applications
    • [cs.CV]2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image
    • [cs.CV]AutoSampling: Search for Effective Data Sampling Schedules
    • [cs.CV]Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging
    • [cs.CV]Chromatic and spatial analysis of one-pixel attacks against an image classifier
    • [cs.CV]Deception Detection in Videos using the Facial Action Coding System
    • [cs.CV]DeepTag: A General Framework for Fiducial Marker Design and Detection
    • [cs.CV]Demotivate adversarial defense in remote sensing
    • [cs.CV]EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching
    • [cs.CV]FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning
    • [cs.CV]Focus on Local: Detecting Lane Marker from Bottom Up via Key Point
    • [cs.CV]Improving Facial Attribute Recognition by Group and Graph Learning
    • [cs.CV]Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networks
    • [cs.CV]Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
    • [cs.CV]Linguistic Structures as Weak Supervision for Visual Scene Graph Generation
    • [cs.CV]MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors
    • [cs.CV]NViSII: A Scriptable Tool for Photorealistic Image Generation
    • [cs.CV]New Image Captioning Encoder via Semantic Visual Feature Matching for Heavy Rain Images
    • [cs.CV]Recursive Contour Saliency Blending Network for Accurate Salient Object Detection
    • [cs.CV]ResT: An Efficient Transformer for Visual Recognition
    • [cs.CV]Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
    • [cs.CV]Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
    • [cs.CV]The Herbarium 2021 Half-Earth Challenge Dataset
    • [cs.CV]The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks
    • [cs.CV]Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano
    • [cs.CV]Using Convolutional Neural Networks for Relative Pose Estimation of a Non-Cooperative Spacecraft with Thermal Infrared Imagery
    • [cs.CV]What Is Considered Complete for Visual Recognition?
    • [cs.CY]Integrating and validating urban simulation models
    • [cs.CY]Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data
    • [cs.CY]Tactical Reframing of Online Disinformation Campaigns Against The Istanbul Convention
    • [cs.CY]Vaccine Credential Technology Principles
    • [cs.DC]A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling
    • [cs.DC]Deterministic 3-Coloring of Trees in the Sublinear MPC model
    • [cs.DC]Early Experiences Migrating CUDA codes to oneAPI
    • [cs.DC]Efficient distributed algorithms for Convolutional Neural Networks
    • [cs.DC]Measuring OpenSHMEM Communication Routines with SKaMPI-OpenSHMEM User’s manual
    • [cs.DC]Multidimensional Byzantine Agreement in a Synchronous Setting
    • [cs.DC]Parallel Programming Applied Research Projects for Teaching Parallel Programming to Beginner Students
    • [cs.DC]Performance Evaluation of Snapshot Methods to Warm the Serverless Cold Start
    • [cs.DC]Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices
    • [cs.DC]SoK: Achieving State Machine Replication in Blockchains based on Repeated Consensus
    • [cs.DC]TENSILE: A Tensor granularity dynamic GPU memory scheduler method towards multiple dynamic workloads system
    • [cs.DC]The Trusted Edge
    • [cs.IR]CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation
    • [cs.IR]Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
    • [cs.IT]4-Adic Complexity of Interleaved Quaternary Sequences
    • [cs.IT]Capacity of Backscatter Communication under Arbitrary Fading Dependence
    • [cs.IT]Coverage Analysis of Cellular-Connected UAV Communications with 3GPP Antenna and Channel Models
    • [cs.IT]Extended Cyclic Codes Sandwiched Between Reed-Muller Codes
    • [cs.IT]Fragmentation; a Tool for Finding Information, Encryption and Data Flow in Systems
    • [cs.IT]LDPC Codes with Soft Interference Cancellation for Uncoordinated Unsourced Multiple Access
    • [cs.IT]Linear Complexity of Binary Interleaved Sequences of Period 4n
    • [cs.IT]Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System
    • [cs.LG]”Why Would I Trust Your Numbers?” On the Explainability of Expected Values in Soccer
    • [cs.LG]A General Taylor Framework for Unifying and Revisiting Attribution Methods
    • [cs.LG]A Survey on Anomaly Detection for Technical Systems using LSTM Networks
    • [cs.LG]A nearly Blackwell-optimal policy gradient method
    • [cs.LG]Autonomous Optimization of Fluid Systems at Varying Length Scales
    • [cs.LG]Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach
    • [cs.LG]Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval
    • [cs.LG]CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals
    • [cs.LG]Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing
    • [cs.LG]Curse of Dimensionality in Unconstrained Private Convex ERM
    • [cs.LG]Do not explain without context: addressing the blind spot of model explanations
    • [cs.LG]Efficient Online-Bandit Strategies for Minimax Learning Problems
    • [cs.LG]Efficient and Accurate Gradients for Neural SDEs
    • [cs.LG]Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation
    • [cs.LG]Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
    • [cs.LG]Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data
    • [cs.LG]GAN for time series prediction, data assimilation and uncertainty quantification
    • [cs.LG]Geometric Deep Learning and Equivariant Neural Networks
    • [cs.LG]Improving Generalization in Mountain Car Through the Partitioned Parameterized Policy Approach via Quasi-Stochastic Gradient Descent
    • [cs.LG]Inferring community characteristics in labelled networks
    • [cs.LG]Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation
    • [cs.LG]Latent Space Exploration Using Generative Kernel PCA
    • [cs.LG]Learning to Schedule
    • [cs.LG]Learning to Select Cuts for Efficient Mixed-Integer Programming
    • [cs.LG]Measuring global properties of neural generative model outputs via generating mathematical objects
    • [cs.LG]Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture
    • [cs.LG]One-shot Learning with Absolute Generalization
    • [cs.LG]Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
    • [cs.LG]Perturbation Theory for the Information Bottleneck
    • [cs.LG]Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks
    • [cs.LG]Pruning and Slicing Neural Networks using Formal Verification
    • [cs.LG]Quantifying Information Leakage from Gradients
    • [cs.LG]Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction
    • [cs.LG]Robust Regularization with Adversarial Labelling of Perturbed Samples
    • [cs.LG]SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily
    • [cs.LG]Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
    • [cs.LG]Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition
    • [cs.LG]Short-Term Stock Price-Trend Prediction Using Meta-Learning
    • [cs.LG]The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
    • [cs.LG]Towards Deterministic Diverse Subset Sampling
    • [cs.LG]Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications
    • [cs.LG]Video-rate multispectral imaging in laparoscopic surgery: First-in-human application
    • [cs.NE]Artificial life: sustainable self-replicating systems
    • [cs.NI]An Online Learning Approach to Optimizing Time-Varying Costs of AoI
    • [cs.RO]A proxemics game between festival visitors and an industrial robot
    • [cs.RO]Airflow-Inertial Odometry for Resilient State Estimation on Multirotors
    • [cs.RO]Automated Generation of Robotic Planning Domains from Observations
    • [cs.RO]Feedback Linearization for Quadrotors with a Learned Acceleration Error Model
    • [cs.RO]Finite-Horizon LQR Control of Quadrotors on 今日学术视野(2021.6.1) - 图1#card=math&code=SE_2%283%29&id=TsTet)
    • [cs.RO]Incremental Learning of Probabilistic Movement Primitives (ProMPs) for Human-Robot Cooperation
    • [cs.RO]It’s your turn! — A collaborative human-robot pick-and-place scenario in a virtual industrial setting
    • [cs.RO]R-SARL: Crowd-aware Navigation Based Deep Reinforcement Learning for Nonholonomic Robot in Complex Environments
    • [cs.SD]DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding
    • [cs.SI]Comparing Models for Extracting the Backbone of Bipartite Projections
    • [cs.SI]Online Hate: Behavioural Dynamics and Relationship with Misinformation
    • [eess.AS]DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion
    • [eess.IV]A systematic review of transfer learning based approaches for diabetic retinopathy detection
    • [eess.IV]PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer
    • [eess.SP]ECG Heart-beat Classification Using Multimodal Image Fusion
    • [eess.SP]SafeAMC: Adversarial training for robust modulation recognition models
    • [eess.SY]Distributed adaptive stabilization
    • [eess.SY]End-to-End Deep Fault Tolerant Control
    • [math.NA]Lower Bounds on the Low-Distortion Embedding Dimension of Submanifolds of 今日学术视野(2021.6.1) - 图2
    • [math.OC]A Gradient Method for Multilevel Optimization
    • [math.OC]On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise
    • [math.OC]On the Impossibility of Statistically Improving Empirical Optimization: A Second-Order Stochastic Dominance Perspective
    • [math.OC]Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
    • [math.ST]Central Limit Theory for Linear Spectral Statistics of Normalized Separable Sample Covariance Matrix
    • [math.ST]Epidemic change-point detection in general causal time series
    • [math.ST]Lattice partition recovery with dyadic CART
    • [math.ST]Parameter estimation in CKLS model by continuous observations
    • [math.ST]The piranha problem: Large effects swimming in a small pond
    • [q-bio.GN]Detecting the hosts of bacteriophages using GCN-based semi-supervised learning
    • [q-fin.CP]Volatility Modeling of Stocks from Selected Sectors of the Indian Economy Using GARCH
    • [quant-ph]Quantum Optimisation of Complex Systems with a Quantum Annealer
    • [stat.AP]A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market
    • [stat.AP]Non-parametric Bayesian Causal Modeling of the SARS-CoV-2 Viral Load Distribution vs. Patient’s Age
    • [stat.CO]Stochastic Gradient MCMC with Multi-Armed Bandit Tuning
    • [stat.ME]A new Bayesian discrepancy measure
    • [stat.ME]A note on the modeling of the effects of experimental time in psycholinguistic experiments
    • [stat.ME]Doubly robust, machine learning effect estimation in real-world clinical sciences: A practical evaluation of performance in molecular epidemiology cohort settings
    • [stat.ME]Empowering Differential Networks Using Bayesian Analysis
    • [stat.ME]Generalized Permutation Framework for Testing Model Variable Significance
    • [stat.ME]Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems
    • [stat.ME]Scalable logistic regression with crossed random effects
    • [stat.ME]Simultaneous predictive bands for functional time series using minimum entropy sets
    • [stat.ME]Sparse Principal Components Analysis: a Tutorial
    • [stat.ME]Statistical Inference for Diagnostic Test Accuracy Studies with Multiple Comparisons
    • [stat.ML]Discretization Drift in Two-Player Games
    • [stat.ML]Implicit Regularization in Matrix Sensing via Mirror Descent
    • [stat.ML]Model Selection for Production System via Automated Online Experiments
    • [stat.ML]Non-negative matrix factorization algorithms greatly improve topic model fits
    • [stat.ML]Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection
    • [stat.ML]pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules

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

    • [cs.AI]Fair and Adventurous Enumeration of Quantifier Instantiations
    Mikoláš Janota, Haniel Barbosa, Pascal Fontaine, Andrew Reynolds
    http://arxiv.org/abs/2105.13700v1

    • [cs.AI]Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
    Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum
    http://arxiv.org/abs/2105.13662v1

    • [cs.AI]Spatial-Temporal Dual Graph Neural Networks for Travel Time Estimation
    Guangyin Jin, Huan Yan, Fuxian Li, Jincai Huang, Yong Li
    http://arxiv.org/abs/2105.13591v1

    • [cs.AI]Stochastic Intervention for Causal Inference via Reinforcement Learning
    Tri Dung Duong, Qian Li, Guandong Xu
    http://arxiv.org/abs/2105.13514v1

    • [cs.CE]Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings
    Americo Cunha Jr, Christian Soize, Rubens Sampaio
    http://arxiv.org/abs/2105.13454v1

    • [cs.CL]Accelerating BERT Inference for Sequence Labeling via Early-Exit
    Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2105.13878v1

    • [cs.CL]Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge
    Yi Zhang, Lei Li, Yunfang Wu, Qi Su, Xu Sun
    http://arxiv.org/abs/2105.13607v1

    • [cs.CL]An Explanatory Query-Based Framework for Exploring Academic Expertise
    Oana Cocarascu, Andrew McLean Paul French, Francesca Toni
    http://arxiv.org/abs/2105.13728v1

    • [cs.CL]ByT5: Towards a token-free future with pre-trained byte-to-byte models
    Linting Xue, Aditya Barua, Noah Constant, Rami Al-Rfou, Sharan Narang, Mihir Kale, Adam Roberts, Colin Raffel
    http://arxiv.org/abs/2105.13626v1

    • [cs.CL]Changing the World by Changing the Data
    Anna Rogers
    http://arxiv.org/abs/2105.13947v1

    • [cs.CL]Cisco at SemEval-2021 Task 5: What’s Toxic?: Leveraging Transformers for Multiple Toxic Span Extraction from Online Comments
    Sreyan Ghosh, Sonal Kumar
    http://arxiv.org/abs/2105.13959v1

    • [cs.CL]Cross-Lingual Abstractive Summarization with Limited Parallel Resources
    Yu Bai, Yang Gao, Heyan Huang
    http://arxiv.org/abs/2105.13648v1

    • [cs.CL]Data Augmentation for Text Generation Without Any Augmented Data
    Wei Bi, Huayang Li, Jiacheng Huang
    http://arxiv.org/abs/2105.13650v1

    • [cs.CL]Diagnosing Transformers in Task-Oriented Semantic Parsing
    Shrey Desai, Ahmed Aly
    http://arxiv.org/abs/2105.13496v1

    • [cs.CL]Domain-Adaptive Pretraining Methods for Dialogue Understanding
    Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang, Linqi Song
    http://arxiv.org/abs/2105.13665v1

    • [cs.CL]Early Exiting with Ensemble Internal Classifiers
    Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
    http://arxiv.org/abs/2105.13792v1

    • [cs.CL]Feature extraction and evaluation for BioMedical Question Answering
    Ankit Shah, Srishti Singh, Shih-Yen Tao
    http://arxiv.org/abs/2105.14013v1

    • [cs.CL]Hierarchical Transformer Encoders for Vietnamese Spelling Correction
    Hieu Tran, Cuong V. Dinh, Long Phan, Son T. Nguyen
    http://arxiv.org/abs/2105.13578v1

    • [cs.CL]How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation
    Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri, Marco Turchi
    http://arxiv.org/abs/2105.13782v1

    • [cs.CL]ILDC for CJPE: Indian Legal Documents Corpus for Court JudgmentPrediction and Explanation
    Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripa Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya, Ashutosh Modi
    http://arxiv.org/abs/2105.13562v1

    • [cs.CL]Knowledge Inheritance for Pre-trained Language Models
    Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou
    http://arxiv.org/abs/2105.13880v1

    • [cs.CL]Language Models Use Monotonicity to Assess NPI Licensing
    Jaap Jumelet, Milica Denić, Jakub Szymanik, Dieuwke Hupkes, Shane Steinert-Threlkeld
    http://arxiv.org/abs/2105.13818v1

    • [cs.CL]Learning Approximate and Exact Numeral Systems via Reinforcement Learning
    Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
    http://arxiv.org/abs/2105.13857v1

    • [cs.CL]Learning Relation Alignment for Calibrated Cross-modal Retrieval
    Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, Hongxia Yang
    http://arxiv.org/abs/2105.13868v1

    • [cs.CL]Lightweight Cross-Lingual Sentence Representation Learning
    Zhuoyuan Mao, Prakhar Gupta, Chenhui Chu, Martin Jaggi, Sadao Kurohashi
    http://arxiv.org/abs/2105.13856v1

    • [cs.CL]Natural Language Processing 4 All (NLP4All): A New Online Platform for Teaching and Learning NLP Concepts
    Rebekah Baglini, Arthur Hjorth
    http://arxiv.org/abs/2105.13704v1

    • [cs.CL]Noised Consistency Training for Text Summarization
    Junnan Liu, Qianren Mao, Bang Liu, Hao Peng, Hongdong Zhu, Jianxin Li
    http://arxiv.org/abs/2105.13635v1

    • [cs.CL]Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax
    Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi
    http://arxiv.org/abs/2105.13608v1

    • [cs.CL]OTTers: One-turn Topic Transitions for Open-Domain Dialogue
    Karin Sevegnani, David M. Howcroft, Ioannis Konstas, Verena Rieser
    http://arxiv.org/abs/2105.13710v1

    • [cs.CL]SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)
    Nancy X. R. Wang, Diwakar Mahajan, Marina Danilevsk. Sara Rosenthal
    http://arxiv.org/abs/2105.13995v1

    • [cs.CL]THINK: A Novel Conversation Model for Generating Grammatically Correct and Coherent Responses
    Bin Sun, Shaoxiong Feng, Yiwei Li, Jiamou Liu, Kan Li
    http://arxiv.org/abs/2105.13630v1

    • [cs.CL]What if This Modified That? Syntactic Interventions via Counterfactual Embeddings
    Mycal Tucker, Peng Qian, Roger Levy
    http://arxiv.org/abs/2105.14002v1

    • [cs.CR]AdvParams: An Active DNN Intellectual Property Protection Technique via Adversarial Perturbation Based Parameter Encryption
    Mingfu Xue, Zhiyu Wu, Jian Wang, Yushu Zhang, Weiqiang Liu
    http://arxiv.org/abs/2105.13697v1

    • [cs.CR]Network Activities Recognition and Analysis Based on Supervised Machine Learning Classification Methods Using J48 and Naïve Bayes Algorithm
    Fan Huang
    http://arxiv.org/abs/2105.13698v1

    • [cs.CR]Promoting the Acquisition of Hardware Reverse Engineering Skills
    Carina Wiesen, Steffen Becker, Nils Albartus Christof Paar, Nikol Rummel
    http://arxiv.org/abs/2105.13725v1

    • [cs.CR]Saudi Parents’ Security and Privacy Concerns about their Children’s Smart Device Applications
    Eman Alashwali, Fatimah Alashwali
    http://arxiv.org/abs/2105.13634v1

    • [cs.CV]2nd Place Solution for IJCAI-PRICAI 2020 3D AI Challenge: 3D Object Reconstruction from A Single Image
    Yichen Cao, Yufei Wei, Shichao Liu, Lin Xu
    http://arxiv.org/abs/2105.13575v1

    • [cs.CV]AutoSampling: Search for Effective Data Sampling Schedules
    Ming Sun, Haoxuan Dou, Baopu Li, Lei Cui, Junjie Yan, Wanli Ouyang
    http://arxiv.org/abs/2105.13695v1

    • [cs.CV]Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging
    S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai, Sylvain Paris, Yağız Aksoy
    http://arxiv.org/abs/2105.14021v1

    • [cs.CV]Chromatic and spatial analysis of one-pixel attacks against an image classifier
    Janne Alatalo, Joni Korpihalkola, Tuomo Sipola, Tero Kokkonen
    http://arxiv.org/abs/2105.13771v1

    • [cs.CV]Deception Detection in Videos using the Facial Action Coding System
    Hammad Ud Din Ahmed, Usama Ijaz Bajwa, Fan Zhang, Muhammad Waqas Anwar
    http://arxiv.org/abs/2105.13659v1

    • [cs.CV]DeepTag: A General Framework for Fiducial Marker Design and Detection
    Zhuming Zhang, Yongtao Hu, Guoxing Yu, Jingwen Dai
    http://arxiv.org/abs/2105.13731v1

    • [cs.CV]Demotivate adversarial defense in remote sensing
    Adrien Chan-Hon-Tong, Gaston Lenczner, Aurelien Plyer
    http://arxiv.org/abs/2105.13902v1

    • [cs.CV]EDEN: Deep Feature Distribution Pooling for Saimaa Ringed Seals Pattern Matching
    Ilja Chelak, Ekaterina Nepovinnykh, Tuomas Eerola, Heikki Kalviainen, Igor Belykh
    http://arxiv.org/abs/2105.13979v1

    • [cs.CV]FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning
    Minha Kim, Shahroz Tariq, Simon S. Woo
    http://arxiv.org/abs/2105.13617v1

    • [cs.CV]Focus on Local: Detecting Lane Marker from Bottom Up via Key Point
    Zhan Qu, Huan Jin, Yang Zhou, Zhen Yang, Wei Zhang
    http://arxiv.org/abs/2105.13680v1

    • [cs.CV]Improving Facial Attribute Recognition by Group and Graph Learning
    Zhenghao Chen, Shuhang Gu, Feng Zhu, Jing Xu, Rui Zhao
    http://arxiv.org/abs/2105.13825v1

    • [cs.CV]Iris Liveness Detection using a Cascade of Dedicated Deep Learning Networks
    Juan Tapia, Sebastian Gonzalez, Christoph Busch
    http://arxiv.org/abs/2105.14009v1

    • [cs.CV]Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
    Victor Besnier, David Picard, Alexandre Briot
    http://arxiv.org/abs/2105.13688v1

    • [cs.CV]Linguistic Structures as Weak Supervision for Visual Scene Graph Generation
    Keren Ye, Adriana Kovashka
    http://arxiv.org/abs/2105.13994v1

    • [cs.CV]MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors
    Björn Borgmann, Volker Schatz, Marcus Hammer, Marcus Hebel, Michael Arens, Uwe Stilla
    http://arxiv.org/abs/2105.13580v1

    • [cs.CV]NViSII: A Scriptable Tool for Photorealistic Image Generation
    Nathan Morrical, Jonathan Tremblay, Yunzhi Lin, Stephen Tyree, Stan Birchfield, Valerio Pascucci, Ingo Wald
    http://arxiv.org/abs/2105.13962v1

    • [cs.CV]New Image Captioning Encoder via Semantic Visual Feature Matching for Heavy Rain Images
    Chang-Hwan Son, Pung-Hwi Ye
    http://arxiv.org/abs/2105.13753v1

    • [cs.CV]Recursive Contour Saliency Blending Network for Accurate Salient Object Detection
    Yi Ke Yun, Chun Wei Tan, Takahiro Tsubono
    http://arxiv.org/abs/2105.13865v1

    • [cs.CV]ResT: An Efficient Transformer for Visual Recognition
    Qinglong Zhang, Yubin Yang
    http://arxiv.org/abs/2105.13677v1

    • [cs.CV]Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
    Taosha Fan, Kalyan Vasudev Alwala, Donglai Xiang, Weipeng Xu, Todd Murphey, Mustafa Mukadam
    http://arxiv.org/abs/2105.13965v1

    • [cs.CV]Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
    Runnan Chen, Yuexin Ma, Lingjie Liu, Nenglun Chen, Zhiming Cui, Guodong Wei, Wenping Wang
    http://arxiv.org/abs/2105.13593v1

    • [cs.CV]The Herbarium 2021 Half-Earth Challenge Dataset
    Riccardo de Lutio, Damon Little, Barbara Ambrose, Serge Belongie
    http://arxiv.org/abs/2105.13808v1

    • [cs.CV]The Wits Intelligent Teaching System: Detecting Student Engagement During Lectures Using Convolutional Neural Networks
    Richard Klein, Turgay Celik
    http://arxiv.org/abs/2105.13794v1

    • [cs.CV]Training of SSD(Single Shot Detector) for Facial Detection using Nvidia Jetson Nano
    Saif Ur Rehman, Muhammad Rashid Razzaq, Muhammad Hadi Hussian
    http://arxiv.org/abs/2105.13906v1

    • [cs.CV]Using Convolutional Neural Networks for Relative Pose Estimation of a Non-Cooperative Spacecraft with Thermal Infrared Imagery
    Maxwell Hogan, Duarte Rondao, Nabil Aouf, Olivier Dubois-Matra
    http://arxiv.org/abs/2105.13789v1

    • [cs.CV]What Is Considered Complete for Visual Recognition?
    Lingxi Xie, Xiaopeng Zhang, Longhui Wei, Jianlong Chang, Qi Tian
    http://arxiv.org/abs/2105.13978v1

    • [cs.CY]Integrating and validating urban simulation models
    Juste Raimbault
    http://arxiv.org/abs/2105.13490v1

    • [cs.CY]Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data
    Serena Giurgola, Simone Piaggesi, Márton Karsai, Yelena Mejova, André Panisson, Michele Tizzoni
    http://arxiv.org/abs/2105.13774v1

    • [cs.CY]Tactical Reframing of Online Disinformation Campaigns Against The Istanbul Convention
    Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer
    http://arxiv.org/abs/2105.13398v1

    • [cs.CY]Vaccine Credential Technology Principles
    Divya Siddarth, Vi Hart, Bethan Cantrell, Kristina Yasuda, Josh Mandel, Karen Easterbrook
    http://arxiv.org/abs/2105.13515v1

    • [cs.DC]A Sum-of-Ratios Multi-Dimensional-Knapsack Decomposition for DNN Resource Scheduling
    Menglu Yu, Chuan Wu, Bo Ji, Jia Liu
    http://arxiv.org/abs/2105.13855v1

    • [cs.DC]Deterministic 3-Coloring of Trees in the Sublinear MPC model
    Rustam Latypov, Jara Uitto
    http://arxiv.org/abs/2105.13980v1

    • [cs.DC]Early Experiences Migrating CUDA codes to oneAPI
    Manuel Costanzo, Enzo Rucci, Carlos García Sanchez, Marcelo Naiouf
    http://arxiv.org/abs/2105.13489v1

    • [cs.DC]Efficient distributed algorithms for Convolutional Neural Networks
    Rui Li, Yufan Xu, Aravind Sukumaran-Rajam, Atanas Rountev, P Sadayappan
    http://arxiv.org/abs/2105.13480v1

    • [cs.DC]Measuring OpenSHMEM Communication Routines with SKaMPI-OpenSHMEM User’s manual
    Camille Coti, Allen D Malony
    http://arxiv.org/abs/2105.13395v1

    • [cs.DC]Multidimensional Byzantine Agreement in a Synchronous Setting
    Andrea Flamini, Riccardo Longo, Alessio Meneghetti
    http://arxiv.org/abs/2105.13487v1

    • [cs.DC]Parallel Programming Applied Research Projects for Teaching Parallel Programming to Beginner Students
    Youry Khmelevsky, Gaetan J. D. R. Hains
    http://arxiv.org/abs/2105.13574v1

    • [cs.DC]Performance Evaluation of Snapshot Methods to Warm the Serverless Cold Start
    Paulo Silva, Thiago Emmanuel Pereira
    http://arxiv.org/abs/2105.13894v1

    • [cs.DC]Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices
    Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, Edward Suh, Christina Delimitrou
    http://arxiv.org/abs/2105.13424v1

    • [cs.DC]SoK: Achieving State Machine Replication in Blockchains based on Repeated Consensus
    Silvia Bonomi, Antonella Del Pozzo, Álvaro García-Pérez, Sara Tucci-Piergiovanni
    http://arxiv.org/abs/2105.13732v1

    • [cs.DC]TENSILE: A Tensor granularity dynamic GPU memory scheduler method towards multiple dynamic workloads system
    Kaixin Zhang, Hongzhi Wang, Tongxin Li, Han Hu, Jiye Qiu, Songling Zou
    http://arxiv.org/abs/2105.13336v2

    • [cs.DC]The Trusted Edge
    Christian Meurisch
    http://arxiv.org/abs/2105.13601v1

    • [cs.IR]CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation
    Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding
    http://arxiv.org/abs/2105.13881v1

    • [cs.IR]Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation
    Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng, Chen Shen, Jianqiang Huang, Xian-Sheng Hua
    http://arxiv.org/abs/2105.11876v2

    • [cs.IT]4-Adic Complexity of Interleaved Quaternary Sequences
    Shiyuan Qiang, Xiaoyan Jing, Minghui Yang, Keqin Feng
    http://arxiv.org/abs/2105.13826v1

    • [cs.IT]Capacity of Backscatter Communication under Arbitrary Fading Dependence
    F. Rostami Ghadi, F. J. Martin-Vega, F. J. Lopez-Martinez
    http://arxiv.org/abs/2105.13931v1

    • [cs.IT]Coverage Analysis of Cellular-Connected UAV Communications with 3GPP Antenna and Channel Models
    Zhuangzhuang Cui, Ke Guan, İsmail Güvenç, Claude Oestges, Zhangdui Zhong
    http://arxiv.org/abs/2105.13717v1

    • [cs.IT]Extended Cyclic Codes Sandwiched Between Reed-Muller Codes
    Changjiang Ji, Yan Xu, Sihuang Hu
    http://arxiv.org/abs/2105.13827v1

    • [cs.IT]Fragmentation; a Tool for Finding Information, Encryption and Data Flow in Systems
    Douglas Kirkpatrick, Victoria Cao, Clifford Bohm
    http://arxiv.org/abs/2105.13585v1

    • [cs.IT]LDPC Codes with Soft Interference Cancellation for Uncoordinated Unsourced Multiple Access
    Asit Kumar Pradhan, Vamsi K. Amalladinne, Krishna R. Narayanan, Jean-Francois Chamberland
    http://arxiv.org/abs/2105.13985v1

    • [cs.IT]Linear Complexity of Binary Interleaved Sequences of Period 4n
    Qiuyue Liu, Shiyuan Qiang, Minghui Yang, Keqin Feng
    http://arxiv.org/abs/2105.13777v1

    • [cs.IT]Placement Optimization and Power Control in Intelligent Reflecting Surface Aided Multiuser System
    Bifeng Ling, Jiangbin Lyu, Liqun Fu
    http://arxiv.org/abs/2105.13600v1

    • [cs.LG]“Why Would I Trust Your Numbers?” On the Explainability of Expected Values in Soccer
    Jan Van Haaren
    http://arxiv.org/abs/2105.13778v1

    • [cs.LG]A General Taylor Framework for Unifying and Revisiting Attribution Methods
    Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
    http://arxiv.org/abs/2105.13841v1

    • [cs.LG]A Survey on Anomaly Detection for Technical Systems using LSTM Networks
    Benjamin Lindemann, Benjamin Maschler, Nada Sahlab, Michael Weyrich
    http://arxiv.org/abs/2105.13810v1

    • [cs.LG]A nearly Blackwell-optimal policy gradient method
    Vektor Dewanto, Marcus Gallagher
    http://arxiv.org/abs/2105.13609v1

    • [cs.LG]Autonomous Optimization of Fluid Systems at Varying Length Scales
    Alexander E. Siemenn, Evyatar Shaulsky, Matthew Beveridge, Tonio Buonassisi, Sara M. Hashmi, Iddo Drori
    http://arxiv.org/abs/2105.13553v1

    • [cs.LG]Blending Advertising with Organic Content in E-Commerce: A Virtual Bids Optimization Approach
    Carlos Carrion, Zenan Wang, Harikesh Nair, Xianghong Luo, Yulin Lei, Xiliang Lin, Wenlong Chen, Qiyu Hu, Changping Peng, Yongjun Bao, Weipeng Yan
    http://arxiv.org/abs/2105.13556v1

    • [cs.LG]Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval
    Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian Foster
    http://arxiv.org/abs/2105.13967v1

    • [cs.LG]CRT-Net: A Generalized and Scalable Framework for the Computer-Aided Diagnosis of Electrocardiogram Signals
    Jingyi Liu, Zhongyu Li, Xiayue Fan, Jintao Yan, Bolin Li, Xuemeng Hu, Qing Xia, Yue Wu
    http://arxiv.org/abs/2105.13619v1

    • [cs.LG]Confident in the Crowd: Bayesian Inference to Improve Data Labelling in Crowdsourcing
    Pierce Burke, Richard Klein
    http://arxiv.org/abs/2105.13984v1

    • [cs.LG]Curse of Dimensionality in Unconstrained Private Convex ERM
    Daogao Liu, Zhou Lu
    http://arxiv.org/abs/2105.13637v1

    • [cs.LG]Do not explain without context: addressing the blind spot of model explanations
    Katarzyna Woźnica, Katarzyna Pękala, Hubert Baniecki, Wojciech Kretowicz, Elżbieta Sienkiewicz, Przemysław Biecek
    http://arxiv.org/abs/2105.13787v1

    • [cs.LG]Efficient Online-Bandit Strategies for Minimax Learning Problems
    Christophe Roux, Elias Wirth, Sebastian Pokutta, Thomas Kerdreux
    http://arxiv.org/abs/2105.13939v1

    • [cs.LG]Efficient and Accurate Gradients for Neural SDEs
    Patrick Kidger, James Foster, Xuechen Li, Terry Lyons
    http://arxiv.org/abs/2105.13493v1

    • [cs.LG]Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation
    Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
    http://arxiv.org/abs/2105.13623v1

    • [cs.LG]Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines
    Aurélien Decelle, Cyril Furtlehner, Beatriz Seoane
    http://arxiv.org/abs/2105.13889v1

    • [cs.LG]Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data
    YuanZheng Hu, Marina Sokolova
    http://arxiv.org/abs/2105.13430v1

    • [cs.LG]GAN for time series prediction, data assimilation and uncertainty quantification
    Vinicius L. S. Silva, Claire E. Heaney, Christopher C. Pain
    http://arxiv.org/abs/2105.13859v1

    • [cs.LG]Geometric Deep Learning and Equivariant Neural Networks
    Jan E. Gerken, Jimmy Aronsson, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson
    http://arxiv.org/abs/2105.13926v1

    • [cs.LG]Improving Generalization in Mountain Car Through the Partitioned Parameterized Policy Approach via Quasi-Stochastic Gradient Descent
    Caleb M. Bowyer
    http://arxiv.org/abs/2105.13986v1

    • [cs.LG]Inferring community characteristics in labelled networks
    Ioannis Kontoyiannis, Lawrence Tray
    http://arxiv.org/abs/2105.13762v1

    • [cs.LG]Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation
    El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed
    http://arxiv.org/abs/2105.13573v1

    • [cs.LG]Latent Space Exploration Using Generative Kernel PCA
    David Winant, Joachim Schreurs, Johan A. K. Suykens
    http://arxiv.org/abs/2105.13949v1

    • [cs.LG]Learning to Schedule
    Dabeen Lee, Milan Vojnovic
    http://arxiv.org/abs/2105.13655v1

    • [cs.LG]Learning to Select Cuts for Efficient Mixed-Integer Programming
    Zeren Huang, Kerong Wang, Furui Liu, Hui-ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
    http://arxiv.org/abs/2105.13645v1

    • [cs.LG]Measuring global properties of neural generative model outputs via generating mathematical objects
    Bernt Ivar Utstøl Nødland
    http://arxiv.org/abs/2105.13669v1

    • [cs.LG]Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture
    Alison O’Shea, Gordon Lightbody, Geraldine Boylan, Andriy Temko
    http://arxiv.org/abs/2105.13854v1

    • [cs.LG]One-shot Learning with Absolute Generalization
    Hao Su
    http://arxiv.org/abs/2105.13559v1

    • [cs.LG]Optimal Model Placement and Online Model Splitting for Device-Edge Co-Inference
    Jia Yan, Suzhi Bi, Ying-Jun Angela Zhang
    http://arxiv.org/abs/2105.13618v1

    • [cs.LG]Perturbation Theory for the Information Bottleneck
    Vudtiwat Ngampruetikorn, David J. Schwab
    http://arxiv.org/abs/2105.13977v1

    • [cs.LG]Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks
    Dong-Young Lim, Sotirios Sabanis
    http://arxiv.org/abs/2105.13937v1

    • [cs.LG]Pruning and Slicing Neural Networks using Formal Verification
    Ori Lahav, Guy Katz
    http://arxiv.org/abs/2105.13649v1

    • [cs.LG]Quantifying Information Leakage from Gradients
    Fan Mo, Anastasia Borovykh, Mohammad Malekzadeh, Hamed Haddadi, Soteris Demetriou
    http://arxiv.org/abs/2105.13929v1

    • [cs.LG]Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction
    Arthur Feeney, Rishabh Gupta, Veronika Thost, Rico Angell, Gayathri Chandu, Yash Adhikari, Tengfei Ma
    http://arxiv.org/abs/2105.13975v1

    • [cs.LG]Robust Regularization with Adversarial Labelling of Perturbed Samples
    Xiaohui Guo, Richong Zhang, Yaowei Zheng, Yongyi Mao
    http://arxiv.org/abs/2105.13745v1

    • [cs.LG]SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily
    Mengying Jiang, Guizhong Liu, Yuanchao Su, Xinliang Wu
    http://arxiv.org/abs/2105.13795v1

    • [cs.LG]Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
    Bingyan Wang, Yuling Yan, Jianqing Fan
    http://arxiv.org/abs/2105.14016v1

    • [cs.LG]Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition
    Jingyun Jia, Philip K. Chan
    http://arxiv.org/abs/2105.13557v1

    • [cs.LG]Short-Term Stock Price-Trend Prediction Using Meta-Learning
    Shin-Hung Chang, Cheng-Wen Hsu, Hsing-Ying Li, Wei-Sheng Zeng, Jan-Ming Ho
    http://arxiv.org/abs/2105.13599v1

    • [cs.LG]The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
    Akinori F. Ebihara, Taiki Miyagawa
    http://arxiv.org/abs/2105.13636v1

    • [cs.LG]Towards Deterministic Diverse Subset Sampling
    Joachim Schreurs, Michaël Fanuel, Johan A. K. Suykens
    http://arxiv.org/abs/2105.13942v1

    • [cs.LG]Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications
    Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Dong In Kim, Chau Yuen
    http://arxiv.org/abs/2105.13670v1

    • [cs.LG]Video-rate multispectral imaging in laparoscopic surgery: First-in-human application
    Leonardo Ayala, Sebastian Wirkert, Anant Vemuri, Tim Adler, Silvia Seidlitz, Sebastian Pirmann, Christina Engels, Dogu Teber, Lena Maier-Hein
    http://arxiv.org/abs/2105.13901v1

    • [cs.NE]Artificial life: sustainable self-replicating systems
    Carlos Gershenson, Jitka Cejkova
    http://arxiv.org/abs/2105.13971v1

    • [cs.NI]An Online Learning Approach to Optimizing Time-Varying Costs of AoI
    Vishrant Tripathi, Eytan Modiano
    http://arxiv.org/abs/2105.13383v1

    • [cs.RO]A proxemics game between festival visitors and an industrial robot
    Brigitte Krenn, Stephanie Gross, Bernhard Dieber, Horst Pichler, Kathrin Meyer
    http://arxiv.org/abs/2105.13812v1

    • [cs.RO]Airflow-Inertial Odometry for Resilient State Estimation on Multirotors
    Andrea Tagliabue, Jonathan P. How
    http://arxiv.org/abs/2105.13506v1

    • [cs.RO]Automated Generation of Robotic Planning Domains from Observations
    Maximilian Diehl, Chris Paxton, Karinne Ramirez-Amaro
    http://arxiv.org/abs/2105.13604v1

    • [cs.RO]Feedback Linearization for Quadrotors with a Learned Acceleration Error Model
    Alexander Spitzer, Nathan Michael
    http://arxiv.org/abs/2105.13527v1

    • [cs.RO]Finite-Horizon LQR Control of Quadrotors on 今日学术视野(2021.6.1) - 图3#card=math&code=SE2%283%29&id=nMBmY)
    _Mitchell R. Cohen, Khairi Abdulrahim, James Richard Forbes
    http://arxiv.org/abs/2105.13935v1

    • [cs.RO]Incremental Learning of Probabilistic Movement Primitives (ProMPs) for Human-Robot Cooperation
    Daniel Schäle, Martin F. Stoelen, Erik Kyrkjebø
    http://arxiv.org/abs/2105.13775v1

    • [cs.RO]It’s your turn! — A collaborative human-robot pick-and-place scenario in a virtual industrial setting
    Brigitte Krenn, Tim Reinboth, Stephanie Gross, Christine Busch, Martina Mara, Kathrin Meyer, Michael Heiml, Thomas Layer-Wagner
    http://arxiv.org/abs/2105.13838v1

    • [cs.RO]R-SARL: Crowd-aware Navigation Based Deep Reinforcement Learning for Nonholonomic Robot in Complex Environments
    Yanying Zhou, Shijie Li, Jochen Garcke
    http://arxiv.org/abs/2105.13409v1

    • [cs.SD]DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding
    Neil Zeghidour, Olivier Teboul, David Grangier
    http://arxiv.org/abs/2105.13802v1

    • [cs.SI]Comparing Models for Extracting the Backbone of Bipartite Projections
    Zachary P. Neal, Rachel Domagalski, Bruce Sahan
    http://arxiv.org/abs/2105.13396v1

    • [cs.SI]Online Hate: Behavioural Dynamics and Relationship with Misinformation
    Matteo Cinelli, Andraž Pelicon, Igor Mozetič, Walter Quattrociocchi, Petra Kralj Novak, Fabiana Zollo
    http://arxiv.org/abs/2105.14005v1

    • [eess.AS]DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion
    Songxiang Liu, Yuewen Cao, Dan Su, Helen Meng
    http://arxiv.org/abs/2105.13871v1

    • [eess.IV]A systematic review of transfer learning based approaches for diabetic retinopathy detection
    Burcu Oltu, Büşra Kübra Karaca, Hamit Erdem, Atilla Özgür
    http://arxiv.org/abs/2105.13793v1

    • [eess.IV]PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer
    Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang
    http://arxiv.org/abs/2105.13993v1

    • [eess.SP]ECG Heart-beat Classification Using Multimodal Image Fusion
    Zeeshan Ahmad, Anika Tabassum, Naimul Khan, Ling Guan
    http://arxiv.org/abs/2105.13536v1

    • [eess.SP]SafeAMC: Adversarial training for robust modulation recognition models
    Javier Maroto, Gérôme Bovet, Pascal Frossard
    http://arxiv.org/abs/2105.13746v1

    • [eess.SY]Distributed adaptive stabilization
    Zhiyong Sun, Anders Rantzer, Zhongkui Li, Anders Robertsson
    http://arxiv.org/abs/2105.14004v1

    • [eess.SY]End-to-End Deep Fault Tolerant Control
    Daulet Baimukashev, Bexultan Rakhim, Matteo Rubagotti, Huseyin Atakan Varol
    http://arxiv.org/abs/2105.13598v1

    • [math.NA]Lower Bounds on the Low-Distortion Embedding Dimension of Submanifolds of 今日学术视野(2021.6.1) - 图4
    Mark Iwen, Arman Tavakoli, Benjamin Schmidt
    http://arxiv.org/abs/2105.13512v1

    • [math.OC]A Gradient Method for Multilevel Optimization
    Ryo Sato, Mirai Tanaka, Akiko Takeda
    http://arxiv.org/abs/2105.13954v1

    • [math.OC]On Hamilton-Jacobi PDEs and image denoising models with certain non-additive noise
    Jérôme Darbon, Tingwei Meng, Elena Resmerita
    http://arxiv.org/abs/2105.13997v1

    • [math.OC]On the Impossibility of Statistically Improving Empirical Optimization: A Second-Order Stochastic Dominance Perspective
    Henry Lam
    http://arxiv.org/abs/2105.13419v1

    • [math.OC]Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
    Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta
    http://arxiv.org/abs/2105.13913v1

    • [math.ST]Central Limit Theory for Linear Spectral Statistics of Normalized Separable Sample Covariance Matrix
    Long Yu, Jiahui Xie, Wang Zhou
    http://arxiv.org/abs/2105.12975v2

    • [math.ST]Epidemic change-point detection in general causal time series
    Mamadou Lamine Diop, William Kengne
    http://arxiv.org/abs/2105.13836v1

    • [math.ST]Lattice partition recovery with dyadic CART
    Oscar Hernan Madrid Padilla, Yi Yu, Alessandro Rinaldo
    http://arxiv.org/abs/2105.13504v1

    • [math.ST]Parameter estimation in CKLS model by continuous observations
    Yuliya Mishura, Kostiantyn Ralchenko, Olena Dehtiar
    http://arxiv.org/abs/2105.13724v1

    • [math.ST]The piranha problem: Large effects swimming in a small pond
    Christopher Tosh, Philip Greengard, Ben Goodrich, Andrew Gelman, Aki Vehtari, Daniel Hsu
    http://arxiv.org/abs/2105.13445v1

    • [q-bio.GN]Detecting the hosts of bacteriophages using GCN-based semi-supervised learning
    Jiayu Shang, Yanni Sun
    http://arxiv.org/abs/2105.13570v1

    • [q-fin.CP]Volatility Modeling of Stocks from Selected Sectors of the Indian Economy Using GARCH
    Jaydip Sen, Sidra Mehtab, Abhishek Dutta
    http://arxiv.org/abs/2105.13898v1

    • [quant-ph]Quantum Optimisation of Complex Systems with a Quantum Annealer
    Steve Abel, Andrew Blance, Michael Spannowsky
    http://arxiv.org/abs/2105.13945v1

    • [stat.AP]A Probabilistic Forecast-Driven Strategy for a Risk-Aware Participation in the Capacity Firming Market
    Jonathan Dumas, Colin Cointe, Antoine Wehenkel, Antonio Sutera, Xavier Fettweis, Bertrand Cornélusse
    http://arxiv.org/abs/2105.13801v1

    • [stat.AP]Non-parametric Bayesian Causal Modeling of the SARS-CoV-2 Viral Load Distribution vs. Patient’s Age
    Matteo Guardiani, Philipp Frank, Andrija Kostić, Gordian Edenhofer, Jakob Roth, Berit Uhlmann, Torsten Enßlin
    http://arxiv.org/abs/2105.13483v1

    • [stat.CO]Stochastic Gradient MCMC with Multi-Armed Bandit Tuning
    Jeremie Coullon, Leah South, Christopher Nemeth
    http://arxiv.org/abs/2105.13059v2

    • [stat.ME]A new Bayesian discrepancy measure
    Francesco Bertolino, Monica Musio, Walter Racugno, Laura Ventura
    http://arxiv.org/abs/2105.13716v1

    • [stat.ME]A note on the modeling of the effects of experimental time in psycholinguistic experiments
    R. Harald Baayen, Matteo Fasiolo, Simon Wood, Yu-Ying Chuang
    http://arxiv.org/abs/2105.13786v1

    • [stat.ME]Doubly robust, machine learning effect estimation in real-world clinical sciences: A practical evaluation of performance in molecular epidemiology cohort settings
    Xiang Meng, Jonathan Huang
    http://arxiv.org/abs/2105.13148v2

    • [stat.ME]Empowering Differential Networks Using Bayesian Analysis
    Jarod Smith, Mohammad Arashi, Andriette Bekker
    http://arxiv.org/abs/2105.13584v1

    • [stat.ME]Generalized Permutation Framework for Testing Model Variable Significance
    Yue Wu, Ted Spaide, Kenji Nakamichi, Russell Van Gelder, Aaron Lee
    http://arxiv.org/abs/2105.13952v1

    • [stat.ME]Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems
    Yan Sun, Shihao Yang
    http://arxiv.org/abs/2105.13407v1

    • [stat.ME]Scalable logistic regression with crossed random effects
    Swarnadip Ghosh, Trevor Hastie, Art B. Owen
    http://arxiv.org/abs/2105.13747v1

    • [stat.ME]Simultaneous predictive bands for functional time series using minimum entropy sets
    Nicolás Hernández, Jairo Cugliari, Julien Jacques
    http://arxiv.org/abs/2105.13627v1

    • [stat.ME]Sparse Principal Components Analysis: a Tutorial
    Giovanni Maria Merola
    http://arxiv.org/abs/2105.13581v1

    • [stat.ME]Statistical Inference for Diagnostic Test Accuracy Studies with Multiple Comparisons
    Max Westphal, Antonia Zapf
    http://arxiv.org/abs/2105.13469v1

    • [stat.ML]Discretization Drift in Two-Player Games
    Mihaela Rosca, Yan Wu, Benoit Dherin, David G. T. Barrett
    http://arxiv.org/abs/2105.13922v1

    • [stat.ML]Implicit Regularization in Matrix Sensing via Mirror Descent
    Fan Wu, Patrick Rebeschini
    http://arxiv.org/abs/2105.13831v1

    • [stat.ML]Model Selection for Production System via Automated Online Experiments
    Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Ben Carterette, Mounia Lalmas-Roelleke
    http://arxiv.org/abs/2105.13420v1

    • [stat.ML]Non-negative matrix factorization algorithms greatly improve topic model fits
    Peter Carbonetto, Abhishek Sarkar, Zihao Wang, Matthew Stephens
    http://arxiv.org/abs/2105.13440v1

    • [stat.ML]Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection
    Kieran Wood, Stephen Roberts, Stefan Zohren
    http://arxiv.org/abs/2105.13727v1

    • [stat.ML]pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules
    Kirchhof Michael, Schmid Lena, Reining Christopher, ten Hompel Michael, Pauly Markus
    http://arxiv.org/abs/2105.13850v1