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.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.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.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.ST - 统计理论 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions
• [cs.AI]Challenges of engineering safe and secure highly automated vehicles
• [cs.AI]Human-Understandable Decision Making for Visual Recognition
• [cs.AI]Precise Multi-Neuron Abstractions for Neural Network Certification
• [cs.AI]Riskyishness and Pinocchio’s Search for a Comprehensive Taxonomy of Autonomous Entities
• [cs.AI]Routing algorithms as tools for integrating social distancing with emergency evacuation
• [cs.AI]Training a First-Order Theorem Prover from Synthetic Data
• [cs.CL]AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
• [cs.CL]Combining Prediction and Interpretation in Decision Trees (PrInDT) — a Linguistic Example
• [cs.CL]Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
• [cs.CL]Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning
• [cs.CL]Fine-tuning Pretrained Multilingual BERT Model for Indonesian Aspect-based Sentiment Analysis
• [cs.CL]Graph-Based Tri-Attention Network for Answer Ranking in CQA
• [cs.CL]Hierarchical Transformer for Multilingual Machine Translation
• [cs.CL]IOT: Instance-wise Layer Reordering for Transformer Structures
• [cs.CL]Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations
• [cs.CL]Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article
• [cs.CL]Multilingual Byte2Speech Text-To-Speech Models Are Few-shot Spoken Language Learners
• [cs.CL]Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration
• [cs.CL]Overcoming Poor Word Embeddings with Word Definitions
• [cs.CL]PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction
• [cs.CL]Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach
• [cs.CL]Syntactic and Semantic-driven Learning for Open Information Extraction
• [cs.CL]There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It
• [cs.CL]Transfer Learning based Speech Affect Recognition in Urdu
• [cs.CL]WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings
• [cs.CR]A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems
• [cs.CR]Efficient Encrypted Inference on Ensembles of Decision Trees
• [cs.CR]Implementing Automated Market Makers with Constant Circle
• [cs.CR]MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection
• [cs.CV]A Convolutional Architecture for 3D Model Embedding
• [cs.CV]A Structural Causal Model for MR Images of Multiple Sclerosis
• [cs.CV]ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
• [cs.CV]An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
• [cs.CV]An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering
• [cs.CV]Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network
• [cs.CV]Causal Attention for Vision-Language Tasks
• [cs.CV]Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
• [cs.CV]Contrastive Disentanglement in Generative Adversarial Networks
• [cs.CV]Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching
• [cs.CV]Fast Interactive Video Object Segmentation with Graph Neural Networks
• [cs.CV]Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning
• [cs.CV]FloMo: Tractable Motion Prediction with Normalizing Flows
• [cs.CV]Generating Images with Sparse Representations
• [cs.CV]Goal-Oriented Gaze Estimation for Zero-Shot Learning
• [cs.CV]Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning
• [cs.CV]Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning
• [cs.CV]IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image
• [cs.CV]Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks
• [cs.CV]Measuring Model Biases in the Absence of Ground Truth
• [cs.CV]NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
• [cs.CV]NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil
• [cs.CV]OperA: Attention-Regularized Transformers for Surgical Phase Recognition
• [cs.CV]Peer Learning for Skin Lesion Classification
• [cs.CV]Point Cloud based Hierarchical Deep Odometry Estimation
• [cs.CV]Real-time RGBD-based Extended Body Pose Estimation
• [cs.CV]Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
• [cs.CV]Self-Supervised Longitudinal Neighbourhood Embedding
• [cs.CV]Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
• [cs.CV]Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
• [cs.CV]Structured Scene Memory for Vision-Language Navigation
• [cs.CV]Teachers Do More Than Teach: Compressing Image-to-Image Models
• [cs.CV]Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
• [cs.CV]Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach
• [cs.CV]Unsupervised Motion Representation Enhanced Network for Action Recognition
• [cs.CV]Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection
• [cs.CV]VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
• [cs.CV]Variational Structured Attention Networks for Deep Visual Representation Learning
• [cs.CV]Vicinal and categorical domain adaptation
• [cs.CY]A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities
• [cs.CY]An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy
• [cs.DC]Checkpointing SPAdes for Metagenome Assembly: Transparency versus Performance in Production
• [cs.DC]GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra
• [cs.DL]Novelty, Disruption, and the Evolution of Scientific Impact
• [cs.DS]Decomposable Submodular Function Minimization via Maximum Flow
• [cs.HC]Reusability in Research Data
• [cs.IR]A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models
• [cs.IR]Graph Convolutional Embeddings for Recommender Systems
• [cs.IR]Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation
• [cs.IT]A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders
• [cs.IT]Energy-Efficient Task Offloading and Resource Allocation for Multiple Access Mobile Edge Computing
• [cs.IT]Energy-efficient Task Offloading for Relay Aided Mobile Edge Computing under Sequential Task Dependency
• [cs.IT]Error-Correction for Sparse Support Recovery Algorithms
• [cs.IT]High Altitude Platform Stations (HAPS): Architecture and System Performance
• [cs.IT]Iterative DNA Coding Scheme With GC Balance and Run-Length Constraints Using a Greedy Algorithm
• [cs.IT]On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Network
• [cs.IT]Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure
• [cs.IT]Performance Impact Analysis of Beam Switching in Millimeter Wave Vehicular Communications
• [cs.IT]Target Localization using Bistatic and Multistatic Radar with 5G NR Waveform
• [cs.LG]A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features
• [cs.LG]Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features
• [cs.LG]Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games
• [cs.LG]Analyzing the Influence of Dataset Composition for Emotion Recognition
• [cs.LG]Artificial Neural Networks generated by Low Discrepancy Sequences
• [cs.LG]Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction
• [cs.LG]CLAIMED, a visual and scalable component library for Trusted AI
• [cs.LG]Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
• [cs.LG]Compositional Explanations for Image Classifiers
• [cs.LG]Cycle Self-Training for Domain Adaptation
• [cs.LG]Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network
• [cs.LG]DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery
• [cs.LG]Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
• [cs.LG]Discrepancy-Based Active Learning for Domain Adaptation
• [cs.LG]Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
• [cs.LG]Don’t Forget to Sign the Gradients!
• [cs.LG]Extending Contrastive Learning to Unsupervised Coreset Selection
• [cs.LG]Learning to Extend Molecular Scaffolds with Structural Motifs
• [cs.LG]Learning to Schedule DAG Tasks
• [cs.LG]Loss Estimators Improve Model Generalization
• [cs.LG]Measuring Mathematical Problem Solving With the MATH Dataset
• [cs.LG]Meta Learning Black-Box Population-Based Optimizers
• [cs.LG]Online Graph Learning under Smoothness Priors
• [cs.LG]Physics-aware deep neural networks for surrogate modeling of turbulent natural convection
• [cs.LG]Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs
• [cs.LG]Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks
• [cs.LG]Remember What You Want to Forget: Algorithms for Machine Unlearning
• [cs.LG]Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
• [cs.LG]Second-order step-size tuning of SGD for non-convex optimization
• [cs.LG]Stratified Sampling for Extreme Multi-Label Data
• [cs.LG]Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
• [cs.LG]Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
• [cs.LG]Transfer Learning-Based Model Protection With Secret Key
• [cs.LG]Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
• [cs.LG]Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change
• [cs.MM]Extend the FFmpeg Framework to Analyze Media Content
• [cs.NE]Clusterability in Neural Networks
• [cs.NI]Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification
• [cs.NI]SDR-based Testbed for Real-time CQI Prediction for URLLC
• [cs.RO]A Deep-Learning Framework to Predict the Dynamics of a Human-Driven Vehicle Based on the Road Geometry
• [cs.RO]A Geometric Algebra Solution to Wahba’s Problem
• [cs.RO]A Hybrid Dynamical Modeling Framework for Shape Memory Alloy Wire Actuated Structures
• [cs.RO]An Analytical Solution to the IMU Initialization Problem for Visual-Inertial Systems
• [cs.RO]Analysis of User Preferences for Robot Motions in Immersive Telepresence
• [cs.RO]Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
• [cs.RO]Compact pneumatic clutch with integrated stiffness variation and position feedback
• [cs.RO]Differential Flatness as a Sufficient Condition to Generate Optimal Trajectories in Real Time
• [cs.RO]Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles
• [cs.RO]Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments
• [cs.RO]Haptic Feedback Improves Human-Robot Agreement and User Satisfaction in Shared-Autonomy Teleoperation
• [cs.RO]Landmark-based Distributed Topological Mapping and Navigation in GPS-denied Urban Environments Using Teams of Low-cost Robots
• [cs.RO]Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
• [cs.RO]Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty
• [cs.RO]LoRa Backscatter Assisted State Estimator for Micro Aerial Vehicles with Online Initialization
• [cs.RO]MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models
• [cs.RO]Multi-Session Visual SLAM for Illumination Invariant Localization in Indoor Environments
• [cs.RO]Optimal Path Planning using CAMIS: a Continuous Anisotropic Model for Inclined Surfaces
• [cs.RO]Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching
• [cs.RO]Tensor-Free Second-Order Differential Dynamic Programming
• [cs.SD]Environmental Sound Classification on the Edge: Deep Acoustic Networks for Extremely Resource-Constrained Devices
• [cs.SD]Slow-Fast Auditory Streams For Audio Recognition
• [cs.SE]Does chronology matter in JIT defect prediction? A Partial Replication Study
• [cs.SE]Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study
• [cs.SI]A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links
• [cs.SI]Analysis of centrality measures under differential privacy models
• [cs.SI]Characterising different communities of Twitter users: Migrants and natives
• [cs.SI]Exploring the effect of streamed social media data variations on social network analysis
• [cs.SI]Matching Algorithms: Fundamentals, Applications and Challenges
• [cs.SI]Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks
• [cs.SI]The Effect of Network Topology on Credit Network Throughput
• [cs.SI]Time granularity impact on propagation of disruptions in a system-of-systems simulation of infrastructure and business networks
• [cs.SI]Using Dual-Network Analyser for extracting communities from Dual Networks
• [econ.EM]Extremal points of Lorenz curves and applications to inequality analysis
• [econ.EM]Prediction of financial time series using LSTM and data denoising methods
• [econ.EM]Tail forecasts of inflation using time-varying parameter quantile regressions
• [eess.IV]FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation
• [eess.IV]Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding
• [eess.IV]Self-supervised deep convolutional neural network for chest X-ray classification
• [eess.IV]SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
• [eess.IV]Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels
• [eess.SP]Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems
• [eess.SY]Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability
• [eess.SY]Model-free two-step design for improving transient learning performance in nonlinear optimal regulator problems
• [math.OC]Golem: An algorithm for robust experiment and process optimization
• [math.OC]Multiagent based state transition algorithm for global optimization
• [math.ST]Greedy Causal Discovery is Geometric
• [math.ST]Joint Network Topology Inference via Structured Fusion Regularization
• [math.ST]Some Properties and Applications of Burr III-Weibull Distribution
• [physics.soc-ph]Social contagion on higher-order structures
• [stat.AP]DOPE: D-Optimal Pooling Experimental design with application for SARS-CoV-2 screening
• [stat.AP]Exploring the roles of local mobility patterns, socioeconomic conditions, and lockdown policies in shaping the patterns of COVID-19 spread
• [stat.AP]PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits
• [stat.CO]Elastic Net Regularization Paths for All Generalized Linear Models
• [stat.ME]Bayesian spatio-temporal models for stream networks
• [stat.ME]Density ratio model with data-adaptive basis function
• [stat.ME]Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing
• [stat.ME]Forward Stability and Model Path Selection
• [stat.ME]Multi-task Learning with High-Dimensional Noisy Images
• [stat.ME]On the Occasional Exactness of the Distributional Transform Approximation for Direct Gaussian Copula Models with Discrete Margins
• [stat.ME]Revisiting the g-null paradox
• [stat.ME]Simulation study of Q statistic with constant weights for testing and estimation of heterogeneity of standardized mean differences in meta-analysis
• [stat.ML]Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning
• [stat.ML]Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness
• [stat.ML]Federated Learning with Randomized Douglas-Rachford Splitting Methods
• [stat.ML]Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces
• [stat.ML]Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs
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• [cs.AI]A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions
Iain Barclay, Harrison Taylor, Alun Preece, Ian Taylor, Dinesh Verma, Geeth de Mel
http://arxiv.org/abs/2103.03610v1
• [cs.AI]Challenges of engineering safe and secure highly automated vehicles
Nadja Marko, Eike Möhlmann, Dejan Ničković, Jürgen Niehaus, Peter Priller, Martijn Rooker
http://arxiv.org/abs/2103.03544v1
• [cs.AI]Human-Understandable Decision Making for Visual Recognition
Xiaowei Zhou, Jie Yin, Ivor Tsang, Chen Wang
http://arxiv.org/abs/2103.03429v1
• [cs.AI]Precise Multi-Neuron Abstractions for Neural Network Certification
Mark Niklas Müller, Gleb Makarchuk, Gagandeep Singh, Markus Püschel, Martin Vechev
http://arxiv.org/abs/2103.03638v1
• [cs.AI]Riskyishness and Pinocchio’s Search for a Comprehensive Taxonomy of Autonomous Entities
William P. Wagner IV, Anna Źakowska, Clement Aladi, Joseph Santhosh
http://arxiv.org/abs/2103.03482v1
• [cs.AI]Routing algorithms as tools for integrating social distancing with emergency evacuation
Yi-Lin Tsai, Chetanya Rastogi, Peter K. Kitanidis, Christopher B. Field
http://arxiv.org/abs/2103.03413v1
• [cs.AI]Training a First-Order Theorem Prover from Synthetic Data
Vlad Firoiu, Eser Aygun, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei Zhang, Doina Precup, Shibl Mourad
http://arxiv.org/abs/2103.03798v1
• [cs.CL]AnswerQuest: A System for Generating Question-Answer Items from Multi-Paragraph Documents
Melissa Roemmele, Deep Sidhpura, Steve DeNeefe, Ling Tsou
http://arxiv.org/abs/2103.03820v1
• [cs.CL]Combining Prediction and Interpretation in Decision Trees (PrInDT) — a Linguistic Example
Claus Weihs, Sarah Buschfeld
http://arxiv.org/abs/2103.02336v2
• [cs.CL]Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence
Seongsik Park, Harksoo Kim
http://arxiv.org/abs/2103.03509v1
• [cs.CL]Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning
Jinsong Su, Jialong Tang, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong, Le Sun, Jiebo Luo
http://arxiv.org/abs/2103.03446v1
• [cs.CL]Fine-tuning Pretrained Multilingual BERT Model for Indonesian Aspect-based Sentiment Analysis
Annisa Nurul Azhar, Masayu Leylia Khodra
http://arxiv.org/abs/2103.03732v1
• [cs.CL]Graph-Based Tri-Attention Network for Answer Ranking in CQA
Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
http://arxiv.org/abs/2103.03583v1
• [cs.CL]Hierarchical Transformer for Multilingual Machine Translation
Albina Khusainova, Adil Khan, Adín Ramírez Rivera, Vitaly Romanov
http://arxiv.org/abs/2103.03589v1
• [cs.CL]IOT: Instance-wise Layer Reordering for Transformer Structures
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
http://arxiv.org/abs/2103.03457v1
• [cs.CL]Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations
A. Sutherland, S. Magg, S. Wermter
http://arxiv.org/abs/2103.03755v1
• [cs.CL]Multi-document Summarization using Semantic Role Labeling and Semantic Graph for Indonesian News Article
Yuly Haruka Berliana Gunawan, Masayu Leylia Khodra
http://arxiv.org/abs/2103.03736v1
• [cs.CL]Multilingual Byte2Speech Text-To-Speech Models Are Few-shot Spoken Language Learners
Mutian He, Jingzhou Yang, Lei He
http://arxiv.org/abs/2103.03541v1
• [cs.CL]Neural model robustness for skill routing in large-scale conversational AI systems: A design choice exploration
Han Li, Sunghyun Park, Aswarth Dara, Jinseok Nam, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya
http://arxiv.org/abs/2103.03373v1
• [cs.CL]Overcoming Poor Word Embeddings with Word Definitions
Christopher Malon
http://arxiv.org/abs/2103.03842v1
• [cs.CL]PVG at WASSA 2021: A Multi-Input, Multi-Task, Transformer-Based Architecture for Empathy and Distress Prediction
Atharva Kulkarni, Sunanda Somwase, Shivam Rajput, Manisha Marathe
http://arxiv.org/abs/2103.03296v1
• [cs.CL]Parsing Indonesian Sentence into Abstract Meaning Representation using Machine Learning Approach
Adylan Roaffa Ilmy, Masayu Leylia Khodra
http://arxiv.org/abs/2103.03730v1
• [cs.CL]Syntactic and Semantic-driven Learning for Open Information Extraction
Jialong Tang, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Xinyan Xiao, Hua Wu
http://arxiv.org/abs/2103.03448v1
• [cs.CL]There Once Was a Really Bad Poet, It Was Automated but You Didn’t Know It
Jianyou Wang, Xiaoxuan Zhang, Yuren Zhou, Christopher Suh, Cynthia Rudin
http://arxiv.org/abs/2103.03775v1
• [cs.CL]Transfer Learning based Speech Affect Recognition in Urdu
Sara Durrani, Muhammad Umair Arshad
http://arxiv.org/abs/2103.03580v1
• [cs.CL]WordBias: An Interactive Visual Tool for Discovering Intersectional Biases Encoded in Word Embeddings
Bhavya Ghai, Md Naimul Hoque, Klaus Mueller
http://arxiv.org/abs/2103.03598v1
• [cs.CR]A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems
Nur Imtiazul Haque, Mohammad Ashiqur Rahman, Md Hasan Shahriar, Alvi Ataur Khalil, Selcuk Uluagac
http://arxiv.org/abs/2103.03472v1
• [cs.CR]Efficient Encrypted Inference on Ensembles of Decision Trees
Kanthi Sarpatwar, Karthik Nandakumar, Nalini Ratha, James Rayfield, Karthikeyan Shanmugam, Sharath Pankanti, Roman Vaculin
http://arxiv.org/abs/2103.03411v1
• [cs.CR]Implementing Automated Market Makers with Constant Circle
Yongge Wang
http://arxiv.org/abs/2103.03699v1
• [cs.CR]MalBERT: Using Transformers for Cybersecurity and Malicious Software Detection
Abir Rahali, Moulay A. Akhloufi
http://arxiv.org/abs/2103.03806v1
• [cs.CV]A Convolutional Architecture for 3D Model Embedding
Arniel Labrada, Benjamin Bustos, Ivan Sipiran
http://arxiv.org/abs/2103.03764v1
• [cs.CV]A Structural Causal Model for MR Images of Multiple Sclerosis
Jacob C. Reinhold, Aaron Carass, Jerry L. Prince
http://arxiv.org/abs/2103.03158v2
• [cs.CV]ASC-Net : Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
Raunak Dey, Yi Hong
http://arxiv.org/abs/2103.03664v1
• [cs.CV]An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
http://arxiv.org/abs/2103.03678v1
• [cs.CV]An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering
Nikola Zubić, Pietro Liò
http://arxiv.org/abs/2103.03390v1
• [cs.CV]Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network
Balzategui Julen, Eciolaza Luka, Maestro-Watson Daniel
http://arxiv.org/abs/2103.03518v1
• [cs.CV]Causal Attention for Vision-Language Tasks
Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai
http://arxiv.org/abs/2103.03493v1
• [cs.CV]Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong chen, Seon Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
http://arxiv.org/abs/2103.03423v1
• [cs.CV]Contrastive Disentanglement in Generative Adversarial Networks
Lili Pan, Peijun Tang, Zhiyong Chen, Zenglin Xu
http://arxiv.org/abs/2103.03636v1
• [cs.CV]Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching
Christian Rathgeb, Kevin Bernardo, Nathania E. Haryanto, Christoph Busch
http://arxiv.org/abs/2103.03654v1
• [cs.CV]Fast Interactive Video Object Segmentation with Graph Neural Networks
Viktor Varga, András Lőrincz
http://arxiv.org/abs/2103.03821v1
• [cs.CV]Fine-Grained Off-Road Semantic Segmentation and Mapping via Contrastive Learning
Biao Gao, Shaochi Hu, Xijun Zhao, Huijing Zhao
http://arxiv.org/abs/2103.03651v1
• [cs.CV]FloMo: Tractable Motion Prediction with Normalizing Flows
Christoph Schöller, Alois Knoll
http://arxiv.org/abs/2103.03614v1
• [cs.CV]Generating Images with Sparse Representations
Charlie Nash, Jacob Menick, Sander Dieleman, Peter W. Battaglia
http://arxiv.org/abs/2103.03841v1
• [cs.CV]Goal-Oriented Gaze Estimation for Zero-Shot Learning
Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada
http://arxiv.org/abs/2103.03433v1
• [cs.CV]Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning
Anand Ramakrishnan, Minh Pham, Jacob Whitehill
http://arxiv.org/abs/2103.03862v1
• [cs.CV]Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning
Anand Ramakrishnan, Minh Pham, Jacob Whitehill
http://arxiv.org/abs/2103.
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03862v1.
5691
03862v1)
• [cs.CV]IAFA: Instance-aware Feature Aggregation for 3D Object Detection from a Single Image
Dingfu Zhou, Xibin Song, Yuchao Dai, Junbo Yin, Feixiang Lu, Jin Fang, Miao Liao, Liangjun Zhang
http://arxiv.org/abs/2103.03480v1
• [cs.CV]Implicit Integration of Superpixel Segmentation into Fully Convolutional Networks
Teppei Suzuki
http://arxiv.org/abs/2103.03435v1
• [cs.CV]Measuring Model Biases in the Absence of Ground Truth
Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell
http://arxiv.org/abs/2103.03417v1
• [cs.CV]NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
Syed Safwan Khalid, Muhammad Awais, Chi-Ho Chan, Zhenhua Feng, Ammarah Farooq, Ali Akbari, Josef Kittler
http://arxiv.org/abs/2103.03503v1
• [cs.CV]NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil
Andre da Silva Abade, Lucas Faria Porto, Paulo Afonso Ferreira, Flavio de Barros Vidal
http://arxiv.org/abs/2103.03717v1
• [cs.CV]OperA: Attention-Regularized Transformers for Surgical Phase Recognition
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, Seong Tae Kim, Benjamin Busam, Nassir Navab
http://arxiv.org/abs/2103.03873v1
• [cs.CV]Peer Learning for Skin Lesion Classification
Tariq Bdair, Nassir Navab, Shadi Albarqouni
http://arxiv.org/abs/2103.03703v1
• [cs.CV]Point Cloud based Hierarchical Deep Odometry Estimation
Farzan Erlik Nowruzi, Dhanvin Kolhatkar, Prince Kapoor, Robert Laganiere
http://arxiv.org/abs/2103.03394v1
• [cs.CV]Real-time RGBD-based Extended Body Pose Estimation
Renat Bashirov, Anastasia Ianina, Karim Iskakov, Yevgeniy Kononenko, Valeriya Strizhkova, Victor Lempitsky, Alexander Vakhitov
http://arxiv.org/abs/2103.03663v1
• [cs.CV]Self-Attentive Spatial Adaptive Normalization for Cross-Modality Domain Adaptation
Devavrat Tomar, Manana Lortkipanidze, Guillaume Vray, Behzad Bozorgtabar, Jean-Philippe Thiran
http://arxiv.org/abs/2103.03781v1
• [cs.CV]Self-Supervised Longitudinal Neighbourhood Embedding
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M Pohl
http://arxiv.org/abs/2103.03840v1
• [cs.CV]Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
http://arxiv.org/abs/2103.03629v1
• [cs.CV]Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb, Christoph Busch
http://arxiv.org/abs/2103.03692v1
• [cs.CV]Structured Scene Memory for Vision-Language Navigation
Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen
http://arxiv.org/abs/2103.03454v1
• [cs.CV]Teachers Do More Than Teach: Compressing Image-to-Image Models
Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov
http://arxiv.org/abs/2103.03467v1
• [cs.CV]Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack
Mengting Xu, Tao Zhang, Zhongnian Li, Mingxia Liu, Daoqiang Zhang
http://arxiv.org/abs/2103.03438v1
• [cs.CV]Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach
Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani
http://arxiv.org/abs/2103.03501v1
• [cs.CV]Unsupervised Motion Representation Enhanced Network for Action Recognition
Xiaohang Yang, Lingtong Kong, Jie Yang
http://arxiv.org/abs/2103.03465v1
• [cs.CV]Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection
Ahmed Rasheed, Muhammad Shahzad Younis, Junaid Qadir, Muhammad Bilal
http://arxiv.org/abs/2103.03602v1
• [cs.CV]VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista Rios, Osman Semih Kayhan, Jan van Gemert
http://arxiv.org/abs/2103.03768v1
• [cs.CV]Variational Structured Attention Networks for Deep Visual Representation Learning
Guanglei Yang, Paolo Rota, Xavier Alameda-Pineda, Dan Xu, Mingli Ding, Elisa Ricci
http://arxiv.org/abs/2103.03510v1
• [cs.CV]Vicinal and categorical domain adaptation
Hui Tang, Kui Jia
http://arxiv.org/abs/2103.03460v1
• [cs.CY]A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities
Yuping Wang, Savvas Zannettou, Jeremy Blackburn, Barry Bradlyn, Emiliano De Cristofaro, Gianluca Stringhini
http://arxiv.org/abs/2103.03631v1
• [cs.CY]An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy
Stefania Ionescu, Aniko Hannak, Kenneth Joseph
http://arxiv.org/abs/2103.03332v1
• [cs.DC]Checkpointing SPAdes for Metagenome Assembly: Transparency versus Performance in Production
Twinkle Jain, Jie Wang
http://arxiv.org/abs/2103.03311v1
• [cs.DC]GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra
Maciej Besta, Zur Vonarburg-Shmaria, Yannick Schaffner, Leonardo Schwarz, Grzegorz Kwasniewski, Lukas Gianinazzi, Jakub Beranek, Kacper Janda, Tobias Holenstein, Sebastian Leisinger, Peter Tatkowski, Esref Ozdemir, Adrian Balla, Marcin Copik, Philipp Lindenberger, Pavel Kalvoda, Marek Konieczny, Onur Mutlu, Torsten Hoefler
http://arxiv.org/abs/2103.03653v1
• [cs.DL]Novelty, Disruption, and the Evolution of Scientific Impact
Yiling Lin, James Allen Evans, Lingfei Wu
http://arxiv.org/abs/2103.03398v1
• [cs.DS]Decomposable Submodular Function Minimization via Maximum Flow
Kyriakos Axiotis, Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Adrian Vladu
http://arxiv.org/abs/2103.03868v1
• [cs.HC]Reusability in Research Data
Andrew Tristan, Vinicius Woloszyn, Ben Kaden
http://arxiv.org/abs/2103.03756v1
• [cs.IR]A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models
Iurii Mokrii, Leonid Boytsov, Pavel Braslavski
http://arxiv.org/abs/2103.03335v1
• [cs.IR]Graph Convolutional Embeddings for Recommender Systems
Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
http://arxiv.org/abs/2103.03587v1
• [cs.IR]Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang
http://arxiv.org/abs/2103.03578v1
• [cs.IT]A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders
Baptiste Cavarec, Hasan Basri Celebi, Mats Bengtsson, Mikael Skoglund
http://arxiv.org/abs/2103.03860v1
• [cs.IT]Energy-Efficient Task Offloading and Resource Allocation for Multiple Access Mobile Edge Computing
Bizheng Liang, Rongfei Fan, Han Hu
http://arxiv.org/abs/2103.03740v1
• [cs.IT]Energy-efficient Task Offloading for Relay Aided Mobile Edge Computing under Sequential Task Dependency
Xiangg Li, Rongfei Fan, Han Hu
http://arxiv.org/abs/2103.03708v1
• [cs.IT]Error-Correction for Sparse Support Recovery Algorithms
Mohammad Mehrabi, Aslan Tchamkerten
http://arxiv.org/abs/2103.03801v1
• [cs.IT]High Altitude Platform Stations (HAPS): Architecture and System Performance
Yunchou Xing, Frank Hsieh, Amitava Ghosh, Theodore S. Rappaport
http://arxiv.org/abs/2103.03431v1
• [cs.IT]Iterative DNA Coding Scheme With GC Balance and Run-Length Constraints Using a Greedy Algorithm
Seong-Joon Park, Yongwoo Lee, Jong-Seon No
http://arxiv.org/abs/2103.03540v1
• [cs.IT]On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Network
Wankai Tang, Xiangyu Chen, Ming Zheng Chen, Jun Yan Dai, Yu Han, Shi Jin, Qiang Cheng, Geoffrey Ye Li, Tie Jun Cui
http://arxiv.org/abs/2103.03753v1
• [cs.IT]Performance Analysis and Optimization of Uplink Cellular Networks with Flexible Frame Structure
Fatemeh Lotfi, Omid Semiari
http://arxiv.org/abs/2103.03342v1
• [cs.IT]Performance Impact Analysis of Beam Switching in Millimeter Wave Vehicular Communications
O. Kanhere, A. Chopra, A. Thornburg, T. S. Rappaport, S. S. Ghassemzadeh
http://arxiv.org/abs/2103.03434v1
• [cs.IT]Target Localization using Bistatic and Multistatic Radar with 5G NR Waveform
O. Kanhere, S. Goyal, M. Beluri, T. S. Rappaport
http://arxiv.org/abs/2103.03426v1
• [cs.LG]A Pilot Study on Visually-Stimulated Cognitive Tasks for EEG-Based Dementia Recognition Using Frequency and Time Features
Supavit Kongwudhikunakorn, Suktipol Kiatthaveephong, Kamonwan Thanontip, Pitshaporn Leelaarporn, Maytus Piriyajitakonkij, Thananya Charoenpattarawut, Phairot Autthasan, Rattanaphon Chaisaen, Pathitta Dujada, Thapanun Sudhawiyangkul, Cuntai Guan, Vorapun Senanarong, Theerawit Wilaiprasitporn
http://arxiv.org/abs/2103.03854v1
• [cs.LG]Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features
Nicolas Berthier, Amany Alshareef, James Sharp, Sven Schewe, Xiaowei Huang
http://arxiv.org/abs/2103.03704v1
• [cs.LG]Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games
Daniel Leite, Volnei Frigeri Jr., Rodrigo Medeiros
http://arxiv.org/abs/2103.03488v1
• [cs.LG]Analyzing the Influence of Dataset Composition for Emotion Recognition
A. Sutherland, S. Magg, C. Weber, S. Wermter
http://arxiv.org/abs/2103.03700v1
• [cs.LG]Artificial Neural Networks generated by Low Discrepancy Sequences
Alexander Keller, Matthijs Van keirsbilck
http://arxiv.org/abs/2103.03543v1
• [cs.LG]Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction
Yoshihiro Okawa, Tomotake Sasaki, Hidenao Iwane
http://arxiv.org/abs/2103.03656v1
• [cs.LG]CLAIMED, a visual and scalable component library for Trusted AI
Romeo Kienzler, Ivan Nesic
http://arxiv.org/abs/2103.03281v1
• [cs.LG]Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
Jiaye Teng, Weiran Huang
http://arxiv.org/abs/2103.03568v1
• [cs.LG]Compositional Explanations for Image Classifiers
Hana Chockler, Daniel Kroening, Youcheng Sun
http://arxiv.org/abs/2103.03622v1
• [cs.LG]Cycle Self-Training for Domain Adaptation
Hong Liu, Jianmin Wang, Mingsheng Long
http://arxiv.org/abs/2103.03571v1
• [cs.LG]Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network
Yonghong Luo, Chao Lu, Lipeng Zhu, Jie Song
http://arxiv.org/abs/2103.03729v1
• [cs.LG]DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery
Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
http://arxiv.org/abs/2103.03450v1
• [cs.LG]Deeply supervised UNet for semantic segmentation to assist dermatopathological assessment of Basal Cell Carcinoma (BCC)
Jean Le’Clerc Arrastia, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, Peter Maaß
http://arxiv.org/abs/2103.03759v1
• [cs.LG]Discrepancy-Based Active Learning for Domain Adaptation
Antoine de Mathelin, Mathilde Mougeot, Nicolas Vayatis
http://arxiv.org/abs/2103.03757v1
• [cs.LG]Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
Zijian Zhang, Shuai Wang, Yuncong Hong, Liangkai Zhou, Qi Hao
http://arxiv.org/abs/2103.03786v1
• [cs.LG]Don’t Forget to Sign the Gradients!
Omid Aramoon, Pin-Yu Chen, Gang Qu
http://arxiv.org/abs/2103.03701v1
• [cs.LG]Extending Contrastive Learning to Unsupervised Coreset Selection
Jeongwoo Ju, Heechul Jung, Yoonju Oh, Junmo Kim
http://arxiv.org/abs/2103.03574v1
• [cs.LG]Learning to Extend Molecular Scaffolds with Structural Motifs
Krzysztof Maziarz, Henry Jackson-Flux, Pashmina Cameron, Finton Sirockin, Nadine Schneider, Nikolaus Stiefl, Marc Brockschmidt
http://arxiv.org/abs/2103.03864v1
• [cs.LG]Learning to Schedule DAG Tasks
Zhigang Hua, Feng Qi, Gan Liu, Shuang Yang
http://arxiv.org/abs/2103.03412v1
• [cs.LG]Loss Estimators Improve Model Generalization
Vivek Narayanaswamy, Jayaraman J. Thiagarajan, Deepta Rajan, Andreas Spanias
http://arxiv.org/abs/2103.03788v1
• [cs.LG]Measuring Mathematical Problem Solving With the MATH Dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, Jacob Steinhardt
http://arxiv.org/abs/2103.03874v1
• [cs.LG]Meta Learning Black-Box Population-Based Optimizers
Hugo Siqueira Gomes, Benjamin Léger, Christian Gagné
http://arxiv.org/abs/2103.03526v1
• [cs.LG]Online Graph Learning under Smoothness Priors
Seyed Saman Saboksayr, Gonzalo Mateos, Mujdat Cetin
http://arxiv.org/abs/2103.03762v1
• [cs.LG]Physics-aware deep neural networks for surrogate modeling of turbulent natural convection
Didier Lucor, Atul Agrawal, Anne Sergent
http://arxiv.org/abs/2103.03565v1
• [cs.LG]Predicting Kidney Transplant Survival using Multiple Feature Representations for HLAs
Mohammadreza Nemati, Haonan Zhang, Michael Sloma, Dulat Bekbolsynov, Hong Wang, Stanislaw Stepkowski, Kevin S. Xu
http://arxiv.org/abs/2103.03305v1
• [cs.LG]Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks
Tommaso Salvatori, Yuhang Song, Thomas Lukasiewicz, Rafal Bogacz, Zhenghua Xu
http://arxiv.org/abs/2103.03725v1
• [cs.LG]Remember What You Want to Forget: Algorithms for Machine Unlearning
Ayush Sekhari, Jayadev Acharya, Gautam Kamath, Ananda Theertha Suresh
http://arxiv.org/abs/2103.03279v1
• [cs.LG]Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
Ethan Perez, Douwe Kiela, Kyunghyun Cho
http://arxiv.org/abs/2103.03872v1
• [cs.LG]Second-order step-size tuning of SGD for non-convex optimization
Camille Castera, Jérôme Bolte, Cédric Févotte, Edouard Pauwels
http://arxiv.org/abs/2103.03570v1
• [cs.LG]Stratified Sampling for Extreme Multi-Label Data
Maximillian Merrillees, Lan Du
http://arxiv.org/abs/2103.03494v1
• [cs.LG]Structure-Enhanced Meta-Learning For Few-Shot Graph Classification
Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He
http://arxiv.org/abs/2103.03547v1
• [cs.LG]Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
Jiajun Chen, Huarui He, Feng Wu, Jie Wang
http://arxiv.org/abs/2103.03642v1
• [cs.LG]Transfer Learning-Based Model Protection With Secret Key
MaungMaung AprilPyone, Hitoshi Kiya
http://arxiv.org/abs/2103.03525v1
• [cs.LG]Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
http://arxiv.org/abs/2103.03606v1
• [cs.LG]Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change
Ryuichi Kanoh, Mahito Sugiyama
http://arxiv.org/abs/2103.03466v1
• [cs.MM]Extend the FFmpeg Framework to Analyze Media Content
Xintian Wu, Pengfei Qu, Shaofei Wang, Lin Xie, Jie Dong
http://arxiv.org/abs/2103.03539v1
• [cs.NE]Clusterability in Neural Networks
Daniel Filan, Stephen Casper, Shlomi Hod, Cody Wild, Andrew Critch, Stuart Russell
http://arxiv.org/abs/2103.03386v1
• [cs.NI]Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification
Salvatore D’Oro, Francesco Restuccia, Tommaso Melodia
http://arxiv.org/abs/2103.03745v1
• [cs.NI]SDR-based Testbed for Real-time CQI Prediction for URLLC
Kirill Glinskiy, Evgeny Khorov, Alexey Kureev
http://arxiv.org/abs/2103.03572v1
• [cs.RO]A Deep-Learning Framework to Predict the Dynamics of a Human-Driven Vehicle Based on the Road Geometry
Luca Paparusso, Stefano Melzi, Francesco Braghin
http://arxiv.org/abs/2103.03825v1
• [cs.RO]A Geometric Algebra Solution to Wahba’s Problem
Timothy D Barfoot
http://arxiv.org/abs/2103.03773v1
• [cs.RO]A Hybrid Dynamical Modeling Framework for Shape Memory Alloy Wire Actuated Structures
Michele A. Mandolino, Francesco Ferrante, Gianluca Rizzello
http://arxiv.org/abs/2103.03586v1
• [cs.RO]An Analytical Solution to the IMU Initialization Problem for Visual-Inertial Systems
David Zuñiga-Noël, Francisco-Angel Moreno, Javier Gonzalez-Jimenez
http://arxiv.org/abs/2103.03389v1
• [cs.RO]Analysis of User Preferences for Robot Motions in Immersive Telepresence
Katherine J. Mimnaugh, Markku Suomalainen, Israel Becerra, Eliezer Lozano, Rafael Murrieta-Cid, Steven M. LaValle
http://arxiv.org/abs/2103.03496v1
• [cs.RO]Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh, Xi Chen, Petra Poklukar, Chelsea Finn, Mårten Björkman, Danica Kragic
http://arxiv.org/abs/2103.03697v1
• [cs.RO]Compact pneumatic clutch with integrated stiffness variation and position feedback
Yongkang Jiang, Junlin Ma, Diansheng Chen, Jamie Paik
http://arxiv.org/abs/2103.03422v1
• [cs.RO]Differential Flatness as a Sufficient Condition to Generate Optimal Trajectories in Real Time
Logan E. Beaver, Michael Dorothy, Christopher Kroninger, Andreas A. Malikopoulos
http://arxiv.org/abs/2103.03339v1
• [cs.RO]Fail-Aware LIDAR-Based Odometry for Autonomous Vehicles
Iván García Daza, Monica Rentero, Carlota Salinas Maldonado, Rubén Izquierdo Gonzalo, Noelia Hernández Parra, Augusto Luis Ballardini, David Fernández Llorca
http://arxiv.org/abs/2103.03626v1
• [cs.RO]Ground-SLAM: Ground Constrained LiDAR SLAM for Structured Multi-Floor Environments
Xin Wei, Jixin Lv, Jie Sun, Shiliang Pu
http://arxiv.org/abs/2103.03713v1
• [cs.RO]Haptic Feedback Improves Human-Robot Agreement and User Satisfaction in Shared-Autonomy Teleoperation
Dawei Zhang, Roberto Tron, Rebecca P. Khurshid
http://arxiv.org/abs/2103.03453v1
• [cs.RO]Landmark-based Distributed Topological Mapping and Navigation in GPS-denied Urban Environments Using Teams of Low-cost Robots
Mohammad Saleh Teymouri, Subhrajit Bhattacharya
http://arxiv.org/abs/2103.03741v1
• [cs.RO]Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
Jonas C. Kiemel, Torsten Kröger
http://arxiv.org/abs/2103.03793v1
• [cs.RO]Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty
Richard Cheng, Richard M. Murray, Joel W. Burdick
http://arxiv.org/abs/2103.03388v1
• [cs.RO]LoRa Backscatter Assisted State Estimator for Micro Aerial Vehicles with Online Initialization
Shengkai Zhang, Wei Wang, Ning Zhang, Tao Jiang
http://arxiv.org/abs/2103.03542v1
• [cs.RO]MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models
Daniël Willemsen, Mario Coppola, Guido C. H. E. de Croon
http://arxiv.org/abs/2103.03662v1
• [cs.RO]Multi-Session Visual SLAM for Illumination Invariant Localization in Indoor Environments
Mathieu Labbé, François Michaud
http://arxiv.org/abs/2103.03827v1
• [cs.RO]Optimal Path Planning using CAMIS: a Continuous Anisotropic Model for Inclined Surfaces
J. Ricardo Sánchez-Ibáñez, Carlos J. Pérez-del-Pulgar, Javier Serón, Alfonso García-Cerezo
http://arxiv.org/abs/2103.03849v1
• [cs.RO]Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching
Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric Kulczycki, Renaud Detry
http://arxiv.org/abs/2103.03395v1
• [cs.RO]Tensor-Free Second-Order Differential Dynamic Programming
John N. Nganga, Patrick M. Wensing
http://arxiv.org/abs/2103.03293v1
• [cs.SD]Environmental Sound Classification on the Edge: Deep Acoustic Networks for Extremely Resource-Constrained Devices
Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer
http://arxiv.org/abs/2103.03483v1
• [cs.SD]Slow-Fast Auditory Streams For Audio Recognition
Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen
http://arxiv.org/abs/2103.03516v1
• [cs.SE]Does chronology matter in JIT defect prediction? A Partial Replication Study
Hadi Jahanshahi, Dhanya Jothimani, Ayşe Başar, Mucahit Cevik
http://arxiv.org/abs/2103.03506v1
• [cs.SE]Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study
Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
http://arxiv.org/abs/2103.03490v1
• [cs.SI]A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links
Derek Weber, Frank Neumann
http://arxiv.org/abs/2103.03409v1
• [cs.SI]Analysis of centrality measures under differential privacy models
Jesse Laeuchli, Yunior Ramírez-Cruz, Rolando Trujillo-Rasua
http://arxiv.org/abs/2103.03556v1
• [cs.SI]Characterising different communities of Twitter users: Migrants and natives
Jisu Kim, Alina Sîrbu, Fosca Giannotti, Giulio Rossetti
http://arxiv.org/abs/2103.03710v1
• [cs.SI]Exploring the effect of streamed social media data variations on social network analysis
Derek Weber, Mehwish Nasim, Lewis Mitchell, Lucia Falzon
http://arxiv.org/abs/2103.03424v1
• [cs.SI]Matching Algorithms: Fundamentals, Applications and Challenges
Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong
http://arxiv.org/abs/2103.03770v1
• [cs.SI]Motif-driven Dense Subgraph Discovery in Directed and Labeled Networks
Ahmet Erdem Sariyuce
http://arxiv.org/abs/2103.03374v1
• [cs.SI]The Effect of Network Topology on Credit Network Throughput
Vibhaalakshmi Sivaraman, Weizhao Tang, Shaileshh Bojja Venkatakrishnan, Giulia Fanti, Mohammad Alizadeh
http://arxiv.org/abs/2103.03288v1
• [cs.SI]Time granularity impact on propagation of disruptions in a system-of-systems simulation of infrastructure and business networks
Mateusz Iwo Dubaniowski, Hans Rudolf Heinimann
http://arxiv.org/abs/2103.03247v1
• [cs.SI]Using Dual-Network Analyser for extracting communities from Dual Networks
Pietro Hiram Guzzi, Giuseppe Tradigo, Pierangelo Veltri
http://arxiv.org/abs/2103.03728v1
• [econ.EM]Extremal points of Lorenz curves and applications to inequality analysis
Amparo Baíllo, Javier Cárcamo, Carlos Mora-Corral
http://arxiv.org/abs/2103.03286v1
• [econ.EM]Prediction of financial time series using LSTM and data denoising methods
Qi Tang, Tongmei Fan, Ruchen Shi, Jingyan Huang, Yidan Ma
http://arxiv.org/abs/2103.03505v1
• [econ.EM]Tail forecasts of inflation using time-varying parameter quantile regressions
Michael Pfarrhofer
http://arxiv.org/abs/2103.03632v1
• [eess.IV]FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation
Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni
http://arxiv.org/abs/2103.03705v1
• [eess.IV]Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding
Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris Metaxas
http://arxiv.org/abs/2103.03761v1
• [eess.IV]Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda, Jakub Gazda, Jan Plavka, Peter Drotar
http://arxiv.org/abs/2103.03055v2
• [eess.IV]SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation
Boxiang Yun, Yan Wang, Jieneng Chen, Huiyu Wang, Wei Shen, Qingli Li
http://arxiv.org/abs/2103.03604v1
• [eess.IV]Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels
Yuqian Zhou, Hanchao Yu, Humphrey Shi
http://arxiv.org/abs/2103.03451v1
• [eess.SP]Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems
Chuanhong Liu, Caili Guo, Yang Yang, Mingzhe Chen, H. Vincent Poor, Shuguang Cui
http://arxiv.org/abs/2103.03444v1
• [eess.SY]Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability
Wenqi Cui, Baosen Zhang
http://arxiv.org/abs/2103.03869v1
• [eess.SY]Model-free two-step design for improving transient learning performance in nonlinear optimal regulator problems
Yuka Masumoto, Yoshihiro Okawa, Tomotake Sasaki, Yutaka Hori
http://arxiv.org/abs/2103.03808v1
• [math.OC]Golem: An algorithm for robust experiment and process optimization
Matteo Aldeghi, Florian Häse, Riley J. Hickman, Isaac Tamblyn, Alán Aspuru-Guzik
http://arxiv.org/abs/2103.03716v1
• [math.OC]Multiagent based state transition algorithm for global optimization
Xiaojun Zhou
http://arxiv.org/abs/2103.03497v1
• [math.ST]Greedy Causal Discovery is Geometric
Svante Linusson, Petter Restadh, Liam Solus
http://arxiv.org/abs/2103.03771v1
• [math.ST]Joint Network Topology Inference via Structured Fusion Regularization
Yanli Yuan, De Wen Soh, Xiao Yang, Kun Guo, Tony Q. S. Quek
http://arxiv.org/abs/2103.03471v1
• [math.ST]Some Properties and Applications of Burr III-Weibull Distribution
G S Deepthy, Nicy Sebastian, Reshma Rison
http://arxiv.org/abs/2103.03702v1
• [physics.soc-ph]Social contagion on higher-order structures
Alain Barrat, Guilherme Ferraz de Arruda, Iacopo Iacopini, Yamir Moreno
http://arxiv.org/abs/2103.03709v1
• [stat.AP]DOPE: D-Optimal Pooling Experimental design with application for SARS-CoV-2 screening
Yair Daon, Amit Huppert, Uri Obolski
http://arxiv.org/abs/2103.03706v1
• [stat.AP]Exploring the roles of local mobility patterns, socioeconomic conditions, and lockdown policies in shaping the patterns of COVID-19 spread
Mauricio Herrera
http://arxiv.org/abs/2103.02701v2
• [stat.AP]PPA: Principal Parcellation Analysis for Brain Connectomes and Multiple Traits
Rongjie Liu, Meng Li, David B. Dunson
http://arxiv.org/abs/2103.03478v1
• [stat.CO]Elastic Net Regularization Paths for All Generalized Linear Models
J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie
http://arxiv.org/abs/2103.03475v1
• [stat.ME]Bayesian spatio-temporal models for stream networks
Edgar Santos-Fernandez, Jay M. Ver Hoef, Erin E. Peterson, James McGree, Daniel Isaak, Kerrie Mengersen
http://arxiv.org/abs/2103.03538v1
• [stat.ME]Density ratio model with data-adaptive basis function
Archer Gong Zhang, Jiahua Chen
http://arxiv.org/abs/2103.03445v1
• [stat.ME]Estimation of Partially Conditional Average Treatment Effect by Hybrid Kernel-covariate Balancing
Jiayi Wang, Raymond K. W. Wong, Shu Yang, Kwun Chuen Gary Chan
http://arxiv.org/abs/2103.03437v1
• [stat.ME]Forward Stability and Model Path Selection
Nicholas Kissel, Lucas Mentch
http://arxiv.org/abs/2103.03462v1
• [stat.ME]Multi-task Learning with High-Dimensional Noisy Images
Ma Xin, Kundu Suprateek
http://arxiv.org/abs/2103.03370v1
• [stat.ME]On the Occasional Exactness of the Distributional Transform Approximation for Direct Gaussian Copula Models with Discrete Margins
John Hughes
http://arxiv.org/abs/2103.03688v1
• [stat.ME]Revisiting the g-null paradox
Sean McGrath, Jessica G. Young, Miguel A. Hernán
http://arxiv.org/abs/2103.03857v1
• [stat.ME]Simulation study of Q statistic with constant weights for testing and estimation of heterogeneity of standardized mean differences in meta-analysis
Ilyas Bakbergenuly, David C. Hoaglin, Elena Kulinskaya
http://arxiv.org/abs/2103.03272v1
• [stat.ML]Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning
Michel Denuit, Arthur Charpentier, Julien Trufin
http://arxiv.org/abs/2103.03635v1
• [stat.ML]Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness
Sahra Ghalebikesabi, Rob Cornish, Luke J. Kelly, Chris Holmes
http://arxiv.org/abs/2103.03532v1
• [stat.ML]Federated Learning with Randomized Douglas-Rachford Splitting Methods
Nhan H. Pham, Lam M. Nguyen, Dzung T. Phan, Quoc Tran-Dinh
http://arxiv.org/abs/2103.03452v1
• [stat.ML]Foundations of Population-Based SHM, Part IV: The Geometry of Spaces of Structures and their Feature Spaces
George Tsialiamanis, Charilaos Mylonas, Eleni Chatzi, Nikolaos Dervilis, David J. Wagg, Keith Worden
http://arxiv.org/abs/2103.03655v1
• [stat.ML]Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphs
Lorenzo Dall’Amico, Romain Couillet, Nicolas Tremblay
http://arxiv.org/abs/2103.03561v1