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.
    5691
    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