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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.FL - 形式语言与自动机理论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.OA - 算子代数 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 physics.data-an - 数据分析、 统计和概率 q-bio.QM - 定量方法 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
    • [cs.AI]Generalized Planning as Heuristic Search
    • [cs.AI]Probabilistic Planning with Preferences over Temporal Goals
    • [cs.CL]An Embedding-based Joint Sentiment-Topic Model for Short Texts
    • [cs.CL]Continual Speaker Adaptation for Text-to-Speech Synthesis
    • [cs.CL]Correcting Automated and Manual Speech Transcription Errors using Warped Language Models
    • [cs.CL]DAGN: Discourse-Aware Graph Network for Logical Reasoning
    • [cs.CL]Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
    • [cs.CL]Dodrio: Exploring Transformer Models with Interactive Visualization
    • [cs.CL]Functorial Language Models
    • [cs.CL]Heterogeneous Graph Neural Networks for Multi-label Text Classification
    • [cs.CL]Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension
    • [cs.CL]Leveraging neural representations for facilitating access to untranscribed speech from endangered languages
    • [cs.CL]Mutually-Constrained Monotonic Multihead Attention for Online ASR
    • [cs.CL]NL-EDIT: Correcting semantic parse errors through natural language interaction
    • [cs.CL]Turning transformer attention weights into zero-shot sequence labelers
    • [cs.CL]Unsupervised Document Embedding via Contrastive Augmentation
    • [cs.CR]Location Data and COVID-19 Contact Tracing: How Data Privacy Regulations and Cell Service Providers Work In Tandem
    • [cs.CR]U.S. Broadband Coverage Data Set: A Differentially Private Data Release
    • [cs.CV]3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning
    • [cs.CV]ACRE: Abstract Causal REasoning Beyond Covariation
    • [cs.CV]Adversarial Attacks are Reversible with Natural Supervision
    • [cs.CV]Baking Neural Radiance Fields for Real-Time View Synthesis
    • [cs.CV]Bidirectional Projection Network for Cross Dimension Scene Understanding
    • [cs.CV]Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation
    • [cs.CV]City-scale Scene Change Detection using Point Clouds
    • [cs.CV]Confluent Vessel Trees with Accurate Bifurcations
    • [cs.CV]Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
    • [cs.CV]D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution
    • [cs.CV]DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range
    • [cs.CV]Distilling Object Detectors via Decoupled Features
    • [cs.CV]Distilling a Powerful Student Model via Online Knowledge Distillation
    • [cs.CV]DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
    • [cs.CV]Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling
    • [cs.CV]GeoSP: A parallel method for a cortical surface parcellation based on geodesic distance
    • [cs.CV]Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
    • [cs.CV]Hands-on Guidance for Distilling Object Detectors
    • [cs.CV]Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation
    • [cs.CV]Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
    • [cs.CV]Learning to Track with Object Permanence
    • [cs.CV]Lifting Transformer for 3D Human Pose Estimation in Video
    • [cs.CV]LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation
    • [cs.CV]Marine Snow Removal Benchmarking Dataset
    • [cs.CV]MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
    • [cs.CV]MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
    • [cs.CV]Multimodal Knowledge Expansion
    • [cs.CV]Multiple GAN Inversion for Exemplar-based Image-to-Image Translation
    • [cs.CV]Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
    • [cs.CV]OTA: Optimal Transport Assignment for Object Detection
    • [cs.CV]On Generating Transferable Targeted Perturbations
    • [cs.CV]On the hidden treasure of dialog in video question answering
    • [cs.CV]PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
    • [cs.CV]Planar Surface Reconstruction from Sparse Views
    • [cs.CV]Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings
    • [cs.CV]Spatial Dual-Modality Graph Reasoning for Key Information Extraction
    • [cs.CV]Super-Resolving Compressed Video in Coding Chain
    • [cs.CV]Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis
    • [cs.CV]Understanding Robustness of Transformers for Image Classification
    • [cs.CV]Unsupervised Robust Domain Adaptation without Source Data
    • [cs.CV]VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
    • [cs.CV]Visual Explanations from Spiking Neural Networks using Interspike Intervals
    • [cs.CV]Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation
    • [cs.CV]YOLinO: Generic Single Shot Polyline Detection in Real Time
    • [cs.DB]DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches
    • [cs.DC]LS-CAT: A Large-Scale CUDA AutoTuning Dataset
    • [cs.DC]Verification of Eventual Consensus in Synod Using a Failure-Aware Actor Model
    • [cs.DL]Can Twitter Give Insights into International Differences in Covid-19 Vaccination? Eight countries’ English tweets to 21 March 2021
    • [cs.FL]On the Theory of Stochastic Automata
    • [cs.IR]A PSO Strategy of Finding Relevant Web Documents using a New Similarity Measure
    • [cs.IR]Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering
    • [cs.IR]Unsupervised Multi-Index Semantic Hashing
    • [cs.IT]Harvested Power Region of Two-user MISO WPT Systems With Non-linear EH Nodes
    • [cs.IT]Internet of Things from Space: Transforming LTE Machine Type Communications for Non-terrestrial Networks
    • [cs.IT]On the Reliability and Concurrent Unicast Transmission Node Control of 5G NR-V2X Networks
    • [cs.IT]Private and Resource-Bounded Locally Decodalbe Codes for Insertions and Deletions
    • [cs.IT]The Complete Affine Automorphism Group of Polar Codes
    • [cs.LG]A Practical Survey on Faster and Lighter Transformers
    • [cs.LG]Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
    • [cs.LG]Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
    • [cs.LG]Character Controllers Using Motion VAEs
    • [cs.LG]Combating Adversaries with Anti-Adversaries
    • [cs.LG]Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networks
    • [cs.LG]Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities
    • [cs.LG]Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation
    • [cs.LG]Elvet — a neural network-based differential equation and variational problem solver
    • [cs.LG]Evaluation of deep learning models for multi-step ahead time series prediction
    • [cs.LG]FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders
    • [cs.LG]FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
    • [cs.LG]Gated Transformer Networks for Multivariate Time Series Classification
    • [cs.LG]Geometric Affinity Propagation for Clustering with Network Knowledge
    • [cs.LG]Hierarchical Quantized Federated Learning: Convergence Analysis and System Design
    • [cs.LG]Improved Initialization of State-Space Artificial Neural Networks
    • [cs.LG]Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond
    • [cs.LG]Online structural health monitoring by model order reduction and deep learning algorithms
    • [cs.LG]Predicting Demand for Air Taxi Urban Aviation Services using Machine Learning Algorithms
    • [cs.LG]Prior-Free Auctions for the Demand Side of Federated Learning
    • [cs.LG]RCT: Resource Constrained Training for Edge AI
    • [cs.LG]Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives
    • [cs.LG]Rethinking Graph Neural Network Search from Message-passing
    • [cs.LG]SKID RAW: Skill Discovery from Raw Trajectories
    • [cs.LG]SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images
    • [cs.LG]UMAP does not reproduce high-dimensional similarities due to negative sampling
    • [cs.LG]Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph
    • [cs.LG]Vulnerability Due to Training Order in Split Learning
    • [cs.NE]A Genetic Algorithm approach to Asymmetrical Blotto Games with Heterogeneous Valuations
    • [cs.NI]SD-VEC: Software-Defined Vehicular Edge Computing with Ultra-Low Latency
    • [cs.RO]A Persistent and Context-aware Behavior Tree Framework for Multi Sensor Localization in Autonomous Driving
    • [cs.RO]A Tactile Sensing Foot for Single Robot Leg Stabilization
    • [cs.RO]COLREGs-Informed RRT* for Collision Avoidance of Marine Crafts
    • [cs.RO]Composable Learning with Sparse Kernel Representations
    • [cs.RO]Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
    • [cs.RO]Dispersion-Minimizing Motion Primitives for Search-Based Motion Planning
    • [cs.RO]Distributed Client-Server Optimization for SLAM with Limited On-Device Resources
    • [cs.RO]Distributed formation control of manipulators’ end-effector with internal model-based disturbance rejection
    • [cs.RO]End-User Programming of Low- and High-Level Actions for Robotic Task Planning
    • [cs.RO]GNSS-denied geolocalization of UAVs by visual matching of onboard camera images with orthophotos
    • [cs.RO]IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach
    • [cs.RO]Imitation Learning from MPC for Quadrupedal Multi-Gait Control
    • [cs.RO]Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models
    • [cs.RO]Model-Free Learning of Safe yet Effective Controllers
    • [cs.RO]OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation
    • [cs.RO]Reactive Task and Motion Planning under Temporal Logic Specifications
    • [cs.RO]Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
    • [cs.RO]Robot Program Parameter Inference via Differentiable Shadow Program Inversion
    • [cs.RO]Robotic Guide Dog: Leading a Human with Leash-Guided Hybrid Physical Interaction
    • [cs.RO]Search-based Planning of Dynamic MAV Trajectories Using Local Multiresolution State Lattices
    • [cs.RO]Thermodynamically-informed Air-based Soft Heat Engine Design
    • [cs.RO]Toward Safety-Aware Informative Motion Planning for Legged Robots
    • [cs.RO]Visionary: Vision architecture discovery for robot learning
    • [cs.RO]iLQR for Piecewise-Smooth Hybrid Dynamical Systems
    • [cs.SD]Guided Training: A Simple Method for Single-channel Speaker Separation
    • [cs.SD]Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
    • [cs.SD]Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN
    • [cs.SD]Modeling the Compatibility of Stem Tracks to Generate Music Mashups
    • [cs.SI]YouTubing at Home: Media Sharing Behavior Change as Proxy for MobilityAround COVID-19 Lockdowns
    • [econ.GN]Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design
    • [econ.GN]Evolutionary Strategies with Analogy Partitions in p-guessing Games
    • [eess.AS]Data Quality as Predictor of Voice Anti-Spoofing Generalization
    • [eess.AS]Residual Energy-Based Models for End-to-End Speech Recognition
    • [eess.AS]Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning
    • [eess.IV]Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
    • [eess.IV]Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans
    • [eess.IV]Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation
    • [eess.IV]Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing
    • [eess.IV]Training a Better Loss Function for Image Restoration
    • [eess.SY]Control Synthesis using Signal Temporal Logic Specifications with Integral and Derivative Predicates
    • [eess.SY]Embedding Power Flow into Machine Learning for Parameter and State Estimation
    • [eess.SY]Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems
    • [eess.SY]Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic
    • [math.OA]Information theoretic parameters of non-commutative graphs and convex corners
    • [math.OC]On the Semi-Decidability of Remote State Estimation and Stabilization via Noisy Communication Channels
    • [math.OC]On the Time Discretization of the Feynman-Kac Forward-Backward Stochastic Differential Equations for Value Function Approximation
    • [math.ST]Epidemic change-point detection in general integer-valued time series
    • [math.ST]Toward a deeper understanding of a basic cascade
    • [physics.comp-ph]Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
    • [physics.comp-ph]On the quantification of discretization uncertainty: comparison of two paradigms
    • [physics.data-an]Node metadata can produce predictability transitions in network inference problems
    • [q-bio.QM]Parallel Model Exploration for Tumor Treatment Simulations
    • [quant-ph]Quantum-inspired identification of complex cellular automata
    • [stat.AP]Margin-free classification and new class detection using finite Dirichlet mixtures
    • [stat.AP]Wavelet Spatio-Temporal Change Detection on multi-temporal PolSAR images
    • [stat.ME]A generalised and fully Bayesian framework for ensemble updating
    • [stat.ME]A scalable hierarchical lasso for gene-environment interactions
    • [stat.ME]Applying k-nearest neighbors to time series forecasting : two new approaches
    • [stat.ME]Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data
    • [stat.ME]Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event
    • [stat.ME]Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification
    • [stat.ME]Investigating spatial scan statistics for multivariate functional data
    • [stat.ME]Leveraging Historical Data for High-Dimensional Regression Adjustment, a Composite Covariate Approach
    • [stat.ME]Predictive and explanatory models might miss informative features in educational data
    • [stat.ME]Smoothing methods to estimate the hazard rate under double truncation
    • [stat.ML]A computationally efficient neural network for predicting weather forecast probabilities
    • [stat.ML]Active multi-fidelity Bayesian online changepoint detection
    • [stat.ML]Deep Two-way Matrix Reordering for Relational Data Analysis
    • [stat.ML]Learning landmark geodesics using Kalman ensembles
    • [stat.ML]Nearly Horizon-Free Offline Reinforcement Learning
    • [stat.ML]Online learning with exponential weights in metric spaces
    • [stat.ML]The Geometry of Over-parameterized Regression and Adversarial Perturbations
    • [stat.ML]The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof

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

    • [cs.AI]Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
    Chi Zhang, Baoxiong Jia, Song-Chun Zhu, Yixin Zhu
    http://arxiv.org/abs/2103.14230v1

    • [cs.AI]Generalized Planning as Heuristic Search
    Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
    http://arxiv.org/abs/2103.14434v1

    • [cs.AI]Probabilistic Planning with Preferences over Temporal Goals
    Jie Fu
    http://arxiv.org/abs/2103.14489v1

    • [cs.CL]An Embedding-based Joint Sentiment-Topic Model for Short Texts
    Ayan Sengupta, William Scott Paka, Suman Roy, Gaurav Ranjan, Tanmoy Chakraborty
    http://arxiv.org/abs/2103.14410v1

    • [cs.CL]Continual Speaker Adaptation for Text-to-Speech Synthesis
    Hamed Hemati, Damian Borth
    http://arxiv.org/abs/2103.14512v1

    • [cs.CL]Correcting Automated and Manual Speech Transcription Errors using Warped Language Models
    Mahdi Namazifar, John Malik, Li Erran Li, Gokhan Tur, Dilek Hakkani Tür
    http://arxiv.org/abs/2103.14580v1

    • [cs.CL]DAGN: Discourse-Aware Graph Network for Logical Reasoning
    Yinya Huang, Meng Fang, Yu Cao, Liwei Wang, Xiaodan Liang
    http://arxiv.org/abs/2103.14349v1

    • [cs.CL]Data Augmentation in Natural Language Processing: A Novel Text Generation Approach for Long and Short Text Classifiers
    Markus Bayer, Marc-André Kaufhold, Björn Buchhold, Marcel Keller, Jörg Dallmeyer, Christian Reuter
    http://arxiv.org/abs/2103.14453v1

    • [cs.CL]Dodrio: Exploring Transformer Models with Interactive Visualization
    Zijie J. Wang, Robert Turko, Duen Horng Chau
    http://arxiv.org/abs/2103.14625v1

    • [cs.CL]Functorial Language Models
    Alexis Toumi, Alex Koziell-Pipe
    http://arxiv.org/abs/2103.14411v1

    • [cs.CL]Heterogeneous Graph Neural Networks for Multi-label Text Classification
    Irene Li, Tianxiao Li, Yixin Li, Ruihai Dong, Toyotaro Suzumura
    http://arxiv.org/abs/2103.14620v1

    • [cs.CL]Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension
    Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang
    http://arxiv.org/abs/2103.14443v1

    • [cs.CL]Leveraging neural representations for facilitating access to untranscribed speech from endangered languages
    Nay San, Martijn Bartelds, Mitchell Browne, Lily Clifford, Fiona Gibson, John Mansfield, David Nash, Jane Simpson, Myfany Turpin, Maria Vollmer, Sasha Wilmoth, Dan Jurafsky
    http://arxiv.org/abs/2103.14583v1

    • [cs.CL]Mutually-Constrained Monotonic Multihead Attention for Online ASR
    Jaeyun Song, Hajin Shim, Eunho Yang
    http://arxiv.org/abs/2103.14302v1

    • [cs.CL]NL-EDIT: Correcting semantic parse errors through natural language interaction
    Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo Ramos, Ahmed Hassan Awadallah
    http://arxiv.org/abs/2103.14540v1

    • [cs.CL]Turning transformer attention weights into zero-shot sequence labelers
    Kamil Bujel, Helen Yannakoudakis, Marek Rei
    http://arxiv.org/abs/2103.14465v1

    • [cs.CL]Unsupervised Document Embedding via Contrastive Augmentation
    Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
    http://arxiv.org/abs/2103.14542v1

    • [cs.CR]Location Data and COVID-19 Contact Tracing: How Data Privacy Regulations and Cell Service Providers Work In Tandem
    Callie Monroe, Faiza Tazi, Sanchari Das
    http://arxiv.org/abs/2103.14155v1

    • [cs.CR]U.S. Broadband Coverage Data Set: A Differentially Private Data Release
    Mayana Pereira, Allen Kim, Joshua Allen, Kevin White, Juan Lavista Ferres, Rahul Dodhia
    http://arxiv.org/abs/2103.14035v1

    • [cs.CV]3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning
    Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette
    http://arxiv.org/abs/2103.14533v1

    • [cs.CV]ACRE: Abstract Causal REasoning Beyond Covariation
    Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu
    http://arxiv.org/abs/2103.14232v1

    • [cs.CV]Adversarial Attacks are Reversible with Natural Supervision
    Chengzhi Mao, Mia Chiquer, Hao Wang, Junfeng Yang, Carl Vondrick
    http://arxiv.org/abs/2103.14222v1

    • [cs.CV]Baking Neural Radiance Fields for Real-Time View Synthesis
    Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul Debevec
    http://arxiv.org/abs/2103.14645v1

    • [cs.CV]Bidirectional Projection Network for Cross Dimension Scene Understanding
    Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong
    http://arxiv.org/abs/2103.14326v1

    • [cs.CV]Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation
    Dohun Lim, Hyeonseok Lee, Sungchan Kim
    http://arxiv.org/abs/2103.14332v1

    • [cs.CV]City-scale Scene Change Detection using Point Clouds
    Zi Jian Yew, Gim Hee Lee
    http://arxiv.org/abs/2103.14314v1

    • [cs.CV]Confluent Vessel Trees with Accurate Bifurcations
    Zhongwen Zhang, Dmitrii Marin, Maria Drangova, Yuri Boykov
    http://arxiv.org/abs/2103.14268v1

    • [cs.CV]Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
    Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang
    http://arxiv.org/abs/2103.14267v1

    • [cs.CV]D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution
    Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu
    http://arxiv.org/abs/2103.14373v1

    • [cs.CV]DDR-Net: Learning Multi-Stage Multi-View Stereo With Dynamic Depth Range
    Puyuan Yi, Shengkun Tang, Jian Yao
    http://arxiv.org/abs/2103.14275v1

    • [cs.CV]Distilling Object Detectors via Decoupled Features
    Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
    http://arxiv.org/abs/2103.14475v1

    • [cs.CV]Distilling a Powerful Student Model via Online Knowledge Distillation
    Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji
    http://arxiv.org/abs/2103.14473v1

    • [cs.CV]DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
    Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu
    http://arxiv.org/abs/2103.14545v1

    • [cs.CV]Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling
    Zhichao Huang, Xintong Han, Jia Xu, Tong Zhang
    http://arxiv.org/abs/2103.14338v1

    • [cs.CV]GeoSP: A parallel method for a cortical surface parcellation based on geodesic distance
    Narciso López-López, Andrea Vázquez, Cyril Poupon, Jean-François Mangin, Susana Ladra, Pamela Guevara
    http://arxiv.org/abs/2103.14579v1

    • [cs.CV]Geometry-Aware Unsupervised Domain Adaptation for Stereo Matching
    Hiroki Sakuma, Yoshinori Konishi
    http://arxiv.org/abs/2103.14333v1

    • [cs.CV]Hands-on Guidance for Distilling Object Detectors
    Yangyang Qin, Hefei Ling, Zhenghai He, Yuxuan Shi, Lei Wu
    http://arxiv.org/abs/2103.14337v1

    • [cs.CV]Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation
    Peishan Cong, Xinge Zhu, Yuexin Ma
    http://arxiv.org/abs/2103.14269v1

    • [cs.CV]Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation
    Rumeng Yi, Yaping Huang, Qingji Guan, Mengyang Pu, Runsheng Zhang
    http://arxiv.org/abs/2103.14242v1

    • [cs.CV]Learning to Track with Object Permanence
    Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
    http://arxiv.org/abs/2103.14258v1

    • [cs.CV]Lifting Transformer for 3D Human Pose Estimation in Video
    Wenhao Li, Hong Liu, Runwei Ding, Mengyuan Liu, Pichao Wang
    http://arxiv.org/abs/2103.14304v1

    • [cs.CV]LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation
    Abol Basher, Muhammad Sarmad, Jani Boutellier
    http://arxiv.org/abs/2103.14273v1

    • [cs.CV]Marine Snow Removal Benchmarking Dataset
    Yuya Sato, Takumi Ueda, Yuichi Tanaka
    http://arxiv.org/abs/2103.14249v1

    • [cs.CV]MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
    Akshay Smit, Damir Vrabac, Yujie He, Andrew Y. Ng, Andrew L. Beam, Pranav Rajpurkar
    http://arxiv.org/abs/2103.14339v1

    • [cs.CV]MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning
    Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng, Rui Ye
    http://arxiv.org/abs/2103.14341v1

    • [cs.CV]Multimodal Knowledge Expansion
    Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao
    http://arxiv.org/abs/2103.14431v1

    • [cs.CV]Multiple GAN Inversion for Exemplar-based Image-to-Image Translation
    Taewon Kang
    http://arxiv.org/abs/2103.14471v1

    • [cs.CV]Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation
    Yazhou Yao, Tao Chen, Guosen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang
    http://arxiv.org/abs/2103.14581v1

    • [cs.CV]OTA: Optimal Transport Assignment for Object Detection
    Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, Jian Sun
    http://arxiv.org/abs/2103.14259v1

    • [cs.CV]On Generating Transferable Targeted Perturbations
    Muzammal Naseer, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli
    http://arxiv.org/abs/2103.14641v1

    • [cs.CV]On the hidden treasure of dialog in video question answering
    Deniz Engin, Yannis Avrithis, Ngoc Q. K. Duong, François Schnitzler
    http://arxiv.org/abs/2103.14517v1

    • [cs.CV]PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
    Mutian Xu, Runyu Ding, Hengshuang Zhao, Xiaojuan Qi
    http://arxiv.org/abs/2103.14635v1

    • [cs.CV]Planar Surface Reconstruction from Sparse Views
    Linyi Jin, Sheng
    1000
    yi Qian, Andrew Owens, David F. Fouhey
    http://arxiv.org/abs/2103.14644v1

    • [cs.CV]Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings
    Adrian Wolny, Qin Yu, Constantin Pape, Anna Kreshuk
    http://arxiv.org/abs/2103.14572v1

    • [cs.CV]Spatial Dual-Modality Graph Reasoning for Key Information Extraction
    Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue, Chenhao Lin, Wayne Zhang
    http://arxiv.org/abs/2103.14470v1

    • [cs.CV]Super-Resolving Compressed Video in Coding Chain
    Dewang Hou, Yang Zhao, Yuyao Ye, Jiayu Yang, Jian Zhang, Ronggang Wang
    http://arxiv.org/abs/2103.14247v1

    • [cs.CV]Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis
    Arghya Pal, Rapha Phan, KokSheik Wong
    http://arxiv.org/abs/2103.14212v1

    • [cs.CV]Understanding Robustness of Transformers for Image Classification
    Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
    http://arxiv.org/abs/2103.14586v1

    • [cs.CV]Unsupervised Robust Domain Adaptation without Source Data
    Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool
    http://arxiv.org/abs/2103.14577v1

    • [cs.CV]VDM-DA: Virtual Domain Modeling for Source Data-free Domain Adaptation
    Jiayi Tian, Jing Zhang, Wen Li, Dong Xu
    http://arxiv.org/abs/2103.14357v1

    • [cs.CV]Visual Explanations from Spiking Neural Networks using Interspike Intervals
    Youngeun Kim, Priyadarshini Panda
    http://arxiv.org/abs/2103.14441v1

    • [cs.CV]Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation
    Matteo Dunnhofer, Niki Martinel, Christian Micheloni
    http://arxiv.org/abs/2103.14496v1

    • [cs.CV]YOLinO: Generic Single Shot Polyline Detection in Real Time
    Annika Meyer, Philipp Skudlik, Jan-Hendrik Pauls, Christoph Stiller
    http://arxiv.org/abs/2103.14420v1

    • [cs.DB]DBATES: DataBase of Audio features, Text, and visual Expressions in competitive debate Speeches
    Taylan K. Sen, Gazi Naven, Luke Gerstner, Daryl Bagley, Raiyan Abdul Baten, Wasifur Rahman, Kamrul Hasan, Kurtis G. Haut, Abdullah Mamun, Samiha Samrose, Anne Solbu, R. Eric Barnes, Mark G. Frank, Ehsan Hoque
    http://arxiv.org/abs/2103.14189v1

    • [cs.DC]LS-CAT: A Large-Scale CUDA AutoTuning Dataset
    Lars Bjertnes, Jacob O. Tørring, Anne C. Elster
    http://arxiv.org/abs/2103.14409v1

    • [cs.DC]Verification of Eventual Consensus in Synod Using a Failure-Aware Actor Model
    Saswata Paul, Gul A. Agha, Stacy Patterson, Carlos A. Varela
    http://arxiv.org/abs/2103.14576v1

    • [cs.DL]Can Twitter Give Insights into International Differences in Covid-19 Vaccination? Eight countries’ English tweets to 21 March 2021
    Mike Thelwall
    http://arxiv.org/abs/2103.14125v1

    • [cs.FL]On the Theory of Stochastic Automata
    Merve Nur Cakir, Mehwish Saleemi, Karl-Heinz Zimmermann
    http://arxiv.org/abs/2103.14423v1

    • [cs.IR]A PSO Strategy of Finding Relevant Web Documents using a New Similarity Measure
    Dr. Ramya C, Dr. Shreedhara K S
    http://arxiv.org/abs/2103.14371v1

    • [cs.IR]Projected Hamming Dissimilarity for Bit-Level Importance Coding in Collaborative Filtering
    Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Christina Lioma
    http://arxiv.org/abs/2103.14455v1

    • [cs.IR]Unsupervised Multi-Index Semantic Hashing
    Christian Hansen, Casper Hansen, Jakob Grue Simonsen, Stephen Alstrup, Christina Lioma
    http://arxiv.org/abs/2103.14460v1

    • [cs.IT]Harvested Power Region of Two-user MISO WPT Systems With Non-linear EH Nodes
    Nikita Shanin, Laura Cottatellucci, Robert Schober
    http://arxiv.org/abs/2103.13802v2

    • [cs.IT]Internet of Things from Space: Transforming LTE Machine Type Communications for Non-terrestrial Networks
    Talha Ahmed Khan, Xingqin Lin, Stefan Eriksson Löwenmark, Olof Liberg, Sebastian Euler, Jonas Sedin, Emre A. Yavuz, Hazhir Shokri-Razaghi, Helka-Liina Määttänen
    http://arxiv.org/abs/2103.14169v1

    • [cs.IT]On the Reliability and Concurrent Unicast Transmission Node Control of 5G NR-V2X Networks
    Ke Li, Li Li, Wenpeng Wu, Xueyan Tang, Pingzhi Fan
    http://arxiv.org/abs/2103.14218v1

    • [cs.IT]Private and Resource-Bounded Locally Decodalbe Codes for Insertions and Deletions
    Alexander R. Block, Jeremiah Blocki
    http://arxiv.org/abs/2103.14122v1

    • [cs.IT]The Complete Affine Automorphism Group of Polar Codes
    Yuan Li, Huazi Zhang, Rong Li, Jun Wang, Wen Tong, Guiying Yan, Zhiming Ma
    http://arxiv.org/abs/2103.14215v1

    • [cs.LG]A Practical Survey on Faster and Lighter Transformers
    Quentin Fournier, Gaétan Marceau Caron, Daniel Aloise
    http://arxiv.org/abs/2103.14636v1

    • [cs.LG]Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
    John McLeod, Hrvoje Stojic, Vincent Adam, Dongho Kim, Jordi Grau-Moya, Peter Vrancx, Felix Leibfried
    http://arxiv.org/abs/2103.14407v1

    • [cs.LG]Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs
    Sean Li, Dongwoo Kim, Qing Wang
    http://arxiv.org/abs/2103.14187v1

    • [cs.LG]Character Controllers Using Motion VAEs
    Hung Yu Ling, Fabio Zinno, George Cheng, Michiel van de Panne
    http://arxiv.org/abs/2103.14274v1

    • [cs.LG]Combating Adversaries with Anti-Adversaries
    Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
    http://arxiv.org/abs/2103.14347v1

    • [cs.LG]Deep Unsupervised Learning for Generalized Assignment Problems: A Case-Study of User-Association in Wireless Networks
    Arjun Kaushik, Mehrazin Alizadeh, Omer Waqar, Hina Tabassum
    http://arxiv.org/abs/2103.14548v1

    • [cs.LG]Deep-AIR: A Hybrid CNN-LSTM Framework for Air Quality Modeling in Metropolitan Cities
    Yang Han, Qi Zhang, Victor O. K. Li, Jacqueline C. K. Lam
    http://arxiv.org/abs/2103.14587v1

    • [cs.LG]Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation
    Chris Waites, Rachel Cummings
    http://arxiv.org/abs/2103.14068v1

    • [cs.LG]Elvet — a neural network-based differential equation and variational problem solver
    Jack Y. Araz, Juan Carlos Criado, Michael Spannwosky
    http://arxiv.org/abs/2103.14575v1

    • [cs.LG]Evaluation of deep learning models for multi-step ahead time series prediction
    Rohitash Chandra, Shaurya Goyal, Rishabh Gupta
    http://arxiv.org/abs/2103.14250v1

    • [cs.LG]FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders
    Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph Ramsey, Zhifeng Hao, Clark Glymour
    http://arxiv.org/abs/2103.14238v1

    • [cs.LG]FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches
    Angelos Chatzimparmpas, Rafael M. Martins, Kostiantyn Kucher, Andreas Kerren
    http://arxiv.org/abs/2103.14539v1

    • [cs.LG]Gated Transformer Networks for Multivariate Time Series Classification
    Minghao Liu, Shengqi Ren, Siyuan Ma, Jiahui Jiao, Yizhou Chen, Zhiguang Wang, Wei Song
    http://arxiv.org/abs/2103.14438v1

    • [cs.LG]Geometric Affinity Propagation for Clustering with Network Knowledge
    Omar Maddouri, Xiaoning Qian, Byung-Jun Yoon
    http://arxiv.org/abs/2103.14376v1

    • [cs.LG]Hierarchical Quantized Federated Learning: Convergence Analysis and System Design
    Lumin Liu, Jun Zhang, Shenghui Song, Khaled B. Letaief
    http://arxiv.org/abs/2103.14272v1

    • [cs.LG]Improved Initialization of State-Space Artificial Neural Networks
    Maarten Schoukens
    http://arxiv.org/abs/2103.14516v1

    • [cs.LG]Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond
    Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar
    http://arxiv.org/abs/2103.14528v1

    • [cs.LG]Online structural health monitoring by model order reduction and deep learning algorithms
    Luca Rosafalco, Matteo Torzoni, Andrea Manzoni, Stefano Mariani, Alberto Corigliano
    http://arxiv.org/abs/2103.14328v1

    • [cs.LG]Predicting Demand for Air Taxi Urban Aviation Services using Machine Learning Algorithms
    Suchithra Rajendran, Sharan Srinivas, Trenton Grimshaw
    http://arxiv.org/abs/2103.14604v1

    • [cs.LG]Prior-Free Auctions for the Demand Side of Federated Learning
    Andreas Haupt, Vaikkunth Mugunthan
    http://arxiv.org/abs/2103.14375v1

    • [cs.LG]RCT: Resource Constrained Training for Edge AI
    Tian Huang, Tao Luo, Ming Yan, Joey Tianyi Zhou, Rick Goh
    http://arxiv.org/abs/2103.14493v1

    • [cs.LG]Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives
    Javier Del Ser, David Casillas-Perez, Laura Cornejo-Bueno, Luis Prieto-Godino, Julia Sanz-Justo, Carlos Casanova-Mateo, Sancho Salcedo-Sanz
    http://arxiv.org/abs/2103.14624v1

    • [cs.LG]Rethinking Graph Neural Network Search from Message-passing
    Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang
    http://arxiv.org/abs/2103.14282v1

    • [cs.LG]SKID RAW: Skill Discovery from Raw Trajectories
    Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
    http://arxiv.org/abs/2103.14610v1

    • [cs.LG]SegVisRL: Visuomotor Development for a Lunar Rover for Hazard Avoidance using Camera Images
    Tamir Blum, Gabin Paillet, Watcharawut Masawat, Mickael Laine, Kazuya Yoshida
    http://arxiv.org/abs/2103.14422v1

    • [cs.LG]UMAP does not reproduce high-dimensional similarities due to negative sampling
    Sebastian Damrich, Fred A. Hamprecht
    http://arxiv.org/abs/2103.14608v1

    • [cs.LG]Unsupervised Domain Adaptation through Iterative Consensus Shift in a Multi-Task Graph
    Emanuela Haller, Elena Burceanu, Marius Leordeanu
    http://arxiv.org/abs/2103.14417v1

    • [cs.LG]Vulnerability Due to Training Order in Split Learning
    Harshit Madaan, Manish Gawali, Viraj Kulkarni, Aniruddha Pant
    http://arxiv.org/abs/2103.14291v1

    • [cs.NE]A Genetic Algorithm approach to Asymmetrical Blotto Games with Heterogeneous Valuations
    Aymeric Vie
    http://arxiv.org/abs/2103.14372v1

    • [cs.NI]SD-VEC: Software-Defined Vehicular Edge Computing with Ultra-Low Latency
    Shih-Chun Lin, Kwang-Cheng Chen, Ali Karimoddini
    http://arxiv.org/abs/2103.14225v1

    • [cs.RO]A Persistent and Context-aware Behavior Tree Framework for Multi Sensor Localization in Autonomous Driving
    Siqi Yi, Stewart Worrall, Eduardo Nebot
    http://arxiv.org/abs/2103.14261v1

    • [cs.RO]A Tactile Sensing Foot for Single Robot Leg Stabilization
    Guanlan Zhang, Yipai Du, Yazhan Zhan, Michael Yu Wang
    http://arxiv.org/abs/2103.14359v1

    • [cs.RO]**COLREGs-Informed RRT for Collision Avoidance of Marine Crafts
    Thomas Thuesen Enevoldsen, Christopher Reinartz, Roberto Galeazzi
    http://arxiv.org/abs/2103.14426v1

    • [cs.RO]Composable Learning with Sparse Kernel Representations
    Ekaterina Tolstaya, Ethan Stump, Alec Koppel, Alejandro Ribeiro
    http://arxiv.org/abs/2103.14474v1

    • [cs.RO]Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance
    Xu Xie, Chi Zhang, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu
    http://arxiv.org/abs/2103.14231v1

    • [cs.RO]Dispersion-Minimizing Motion Primitives for Search-Based Motion Planning
    Laura Jarin-Lipschitz, James Paulos, Raymond Bjorkman, Vijay Kumar
    http://arxiv.org/abs/2103.14603v1

    • [cs.RO]Distributed Client-Server Optimization for SLAM with Limited On-Device Resources
    Yetong Zhang, Ming Hsiao, Yipu Zhao, Jing Dong, Jakob J. Enge
    http://arxiv.org/abs/2103.14303v1

    • [cs.RO]Distributed formation control of manipulators’ end-effector with internal model-based disturbance rejection
    Haiwen Wu, Bayu Jayawardhana, Hector Garcia de Marina, Dabo Xu
    http://arxiv.org/abs/2103.14595v1

    • [cs.RO]End-User Programming of Low- and High-Level Actions for Robotic Task Planning
    Ying Siu Liang, Damien Pellier, Humbert Fiorino, Sylvie Pesty
    http://arxiv.org/abs/2103.14342v1

    • [cs.RO]GNSS-denied geolocalization of UAVs by visual matching of onboard camera images with orthophotos
    Jouko Kinnari, Francesco Verdoja, Ville Kyrki
    http://arxiv.org/abs/2103.14381v1

    • [cs.RO]IMU Data Processing For Inertial Aided Navigation: A Recurrent Neural Network Based Approach
    Ming Zhang, Mingming Zhang, Yiming Chen, Mingyang Li
    http://arxiv.org/abs/2103.14286v1

    • [cs.RO]Imitation Learning from MPC for Quadrupedal Multi-Gait Control
    Alexander Reske, Jan Carius, Yuntao Ma, Farbod Farshidian, Marco Hutter
    http://arxiv.org/abs/2103.14331v1

    • [cs.RO]Learning Reactive and Predictive Differentiable Controllers for Switching Linear Dynamical Models
    Saumya Saxena, Alex LaGrassa, Oliver Kroemer
    http://arxiv.org/abs/2103.14256v1

    • [cs.RO]Model-Free Learning of Safe yet Effective Controllers
    Alper Kamil Bozkurt, Yu Wang, Miroslav Pajic
    http://arxiv.org/abs/2103.14600v1

    • [cs.RO]OmniHang: Learning to Hang Arbitrary Objects using Contact Point Correspondences and Neural Collision Estimation
    Yifan You, Lin Shao, Toki Migimatsu, Jeannette Bohg
    http://arxiv.org/abs/2103.14283v1

    • [cs.RO]Reactive Task and Motion Planning under Temporal Logic Specifications
    Shen Li, Daehyung Park, Yoonchang Sung, Julie A. Shah, Nicholas Roy
    http://arxiv.org/abs/2103.14464v1

    • [cs.RO]Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
    Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
    http://arxiv.org/abs/2103.14295v1

    • [cs.RO]Robot Program Parameter Inference via Differentiable Shadow Program Inversion
    Benjamin Alt, Darko Katic, Rainer Jäkel, Asil Kaan Bozcuoglu, Michael Beetz
    http://arxiv.org/abs/2103.14452v1

    • [cs.RO]Robotic Guide Dog: Leading a Human with Leash-Guided Hybrid Physical Interaction
    Anxing Xiao, Wenzhe Tong, Lizhi Yang, Jun Zeng, Zhongyu Li, Koushil Sreenath
    http://arxiv.org/abs/2103.14300v1

    • [cs.RO]Search-based Planning of Dynamic MAV Trajectories Using Local Multiresolution State Lattices
    Daniel Schleich, Sven Behnke
    http://arxiv.org/abs/2103.14607v1

    • [cs.RO]Thermodynamically-informed Air-based Soft Heat Engine Design
    Charles Xiao, Luke F. Gockowski, Bolin Liao, Megan T. Valentine, Elliot W. Hawkes
    http://arxiv.org/abs/2103.14157v1

    • [cs.RO]Toward Safety-Aware Informative Motion Planning for Legged Robots
    Sangli Teng, Yukai Gong, Jessy W. Grizzle, Maani Ghaffari
    http://arxiv.org/abs/2103.14252v1

    • [cs.RO]Visionary: Vision architecture discovery for robot learning
    Iretiayo Akinola, Anelia Angelova, Yao Lu, Yevgen Chebotar, Dmitry Kalashnikov, Jacob Varley, Julian Ibarz, Michael S. Ryoo
    http://arxiv.org/abs/2103.14633v1

    • [cs.RO]iLQR for Piecewise-Smooth Hybrid Dynamical Systems
    Nathan J. Kong, George Council, Aaron M. Johnson
    http://arxiv.org/abs/2103.14584v1

    • [cs.SD]Guided Training: A Simple Method for Single-channel Speaker Separation
    Hao Li, Xueliang Zhang, Guanglai Gao
    http://arxiv.org/abs/2103.14330v1

    • [cs.SD]Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
    Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori
    http://arxiv.org/abs/2103.14201v1

    • [cs.SD]Improve GAN-based Neural Vocoder using Pointwise Relativistic LeastSquare GAN
    Congyi Wang, Yu Chen, Bin Wang, Yi Shi
    http://arxiv.org/abs/2103.14245v1

    • [cs.SD]Modeling the Compatibility of Stem Tracks to Generate Music Mashups
    Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang
    http://arxiv.org/abs/2103.14208v1

    • [cs.SI]YouTubing at Home: Media Sharing Behavior Change as Proxy for MobilityAround COVID-19 Lockdowns
    Yelena Mejova, Nicolas Kourtellis
    http://arxiv.org/abs/2103.14601v1

    • [econ.GN]Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design
    Jason Poulos
    http://arxiv.org/abs/2103.14220v1

    • [econ.GN]Evolutionary Strategies with Analogy Partitions in p-guessing Games
    Aymeric Vie
    http://arxiv.org/abs/2103.14379v1

    • [eess.AS]Data Quality as Predictor of Voice Anti-Spoofing Generalization
    Bhusan Chettri, Rosa González Hautamäki, Md Sahidullah, Tomi Kinnunen
    http://arxiv.org/abs/2103.14602v1

    • [eess.AS]Residual Energy-Based Models for End-to-End Speech Recognition
    Qiujia Li, Yu Zhang, Bo Li, Liangliang Cao, Philip C. Woodland
    http://arxiv.org/abs/2103.14152v1

    • [eess.AS]Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-task Learning
    Ju-Chiang Wang, Jordan B. L. Smith, Jitong Chen, Xuchen Song, Yuxuan Wang
    http://arxiv.org/abs/2103.14253v1

    • [eess.IV]Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound
    Xin Yang, Haoran Dou, Ruobing Huang, Wufeng Xue, Yuhao Huang, Jikuan Qian, Yuanji Zhang, Huanjia Luo, Huizhi Guo, Tianfu Wang, Yi Xiong, Dong Ni
    http://arxiv.org/abs/2103.14502v1

    • [eess.IV]Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans
    Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent Ribas, Gemma Piella, Miguel A. González Ballester
    http://arxiv.org/abs/2103.14537v1

    • [eess.IV]Evaluation of Preprocessing Techniques for U-Net Based Automated Liver Segmentation
    Muhammad Islam, Kaleem Nawaz Khan, Muhammad Salman Khan
    http://arxiv.org/abs/2103.14301v1

    • [eess.IV]Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing
    Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
    http://arxiv.org/abs/2103.14255v1

    • [eess.IV]Training a Better Loss Function for Image Restoration
    Aamir Mustafa, Aliaksei Mikhailiuk, Dan Andrei Iliescu, Varun Babbar, Rafal K. Mantiuk
    http://arxiv.org/abs/2103.14616v1

    • [eess.SY]Control Synthesis using Signal Temporal Logic Specifications with Integral and Derivative Predicates
    Ali Tevfik Buyukkocak, Ali Tevfik Buyukkocak, Yasin Yazıcıoğlu
    http://arxiv.org/abs/2103.14193v1

    • [eess.SY]Embedding Power Flow into Machine Learning for Parameter and State Estimation
    Laurent Pagnier, Michael Chertkov
    http://arxiv.org/abs/2103.14251v1

    • [eess.SY]Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems
    Zhe Xu, Yichen Zhang
    http://arxiv.org/abs/2103.14264v1

    • [eess.SY]Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic
    Zhe Xu, Xiaoming Duan
    http://arxiv.org/abs/2103.14262v1

    • [math.OA]Information theoretic parameters of non-commutative graphs and convex corners
    Gareth Boreland, Ivan G. Todorov, Andreas Winter
    http://arxiv.org/abs/2103.14091v1

    • [math.OC]On the Semi-Decidability of Remote State Estimation and Stabilization via Noisy Communication Channels
    Holger Boche, Yannik Böck, Christian Deppe
    http://arxiv.org/abs/2103.14477v1

    • [math.OC]On the Time Discretization of the Feynman-Kac Forward-Backward Stochastic Differential Equations for Value Function Approximation
    Kelsey P. Hawkins, Ali Pakniyat, Panagiotis Tsiotras
    http://arxiv.org/abs/2103.14246v1

    • [math.ST]Epidemic change-point detection in general integer-valued time series
    Mamadou Lamine Diop, William Kengne
    http://arxiv.org/abs/2103.13336v2

    • [math.ST]Toward a deeper understanding of a basic cascade
    Uwe Saint-Mont
    http://arxiv.org/abs/2103.14390v1

    • [physics.comp-ph]Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
    Omer San, Adil Rasheed, Trond Kvamsdal
    http://arxiv.org/abs/2103.14629v1

    • [physics.comp-ph]On the quantification of discretization uncertainty: comparison of two paradigms
    Julien Bect, Souleymane Zio, Guillaume Perrin, Claire Cannamela, Emmanuel Vazquez
    http://arxiv.org/abs/2103.14559v1

    • [physics.data-an]Node metadata can produce predictability transitions in network inference problems
    Oscar Fajardo-Fontiveros, Marta Sales-Pardo, Roger Guimera
    http://arxiv.org/abs/2103.14424v1

    • [q-bio.QM]Parallel Model Exploration for Tumor Treatment Simulations
    Charilaos Akasiadis, Miguel Ponce-de-Leon, Arnau Montagud, Evangelos Michelioudakis, Alexia Atsidakou, Elias Alevizos, Alexander Artikis, Alfonso Valencia, Georgios Paliouras
    http://arxiv.org/abs/2103.14132v1

    • [quant-ph]Quantum-inspired identification of complex cellular automata
    Matthew Ho, Andri Pradana, Thomas J. Elliott, Lock Yue Chew, Mile Gu
    http://arxiv.org/abs/2103.14053v1

    • [stat.AP]Margin-free classification and new class detection using finite Dirichlet mixtures
    Prince John, Alessandra R. Brazzale, Maria Süveges
    http://arxiv.org/abs/2103.14138v1

    • [stat.AP]Wavelet Spatio-Temporal Change Detection on multi-temporal PolSAR images
    Rodney Fonseca, Aluísio Pinheiro, Abdourrahmane Atto
    http://arxiv.org/abs/2103.14444v1

    • [stat.ME]A generalised and fully Bayesian framework for ensemble updating
    Margrethe Kvale Loe, Håkon Tjelmeland
    http://arxiv.org/abs/2103.14565v1

    • [stat.ME]A scalable hierarchical lasso for gene-environment interactions
    Natalia Zemlianskaia, W. James Gauderman, Juan Pablo Lewinger
    http://arxiv.org/abs/2103.13510v2

    • [stat.ME]Applying k-nearest neighbors to time series forecasting : two new approaches
    Samya Tajmouati, Bouazza El Wahbi, Adel Bedoui, Abdallah Abarda, Mohamed Dakkoun
    http://arxiv.org/abs/2103.14200v1

    • [stat.ME]Divide-and-Conquer: A Distributed Hierarchical Factor Approach to Modeling Large-Scale Time Series Data
    Zhaoxing Gao, Ruey S. Tsay
    http://arxiv.org/abs/2103.14626v1

    • [stat.ME]Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event
    Marie Böhnstedt, Jutta Gampe, Monique A. A. Caljouw, Hein Putter
    http://arxiv.org/abs/2103.14368v1

    • [stat.ME]Introducing prior information in Weighted Likelihood Bootstrap with applications to model misspecification
    Emilia Pompe, Luke J. Kelly, Judith Rousseau
    http://arxiv.org/abs/2103.14445v1

    • [stat.ME]Investigating spatial scan statistics for multivariate functional data
    Camille Frévent, Mohamed-Salem Ahmed, Sophie Dabo-Niang, Michaël Genin
    http://arxiv.org/abs/2103.14401v1

    • [stat.ME]Leveraging Historical Data for High-Dimensional Regression Adjustment, a Composite Covariate Approach
    Samuel Branders, Alvaro Pereira, Guillaume Bernard, Marie Ernst, Adelin Albert
    http://arxiv.org/abs/2103.14421v1

    • [stat.ME]Predictive and explanatory models might miss informative features in educational data
    Nicholas T. Young, Marcos D. Caballero
    http://arxiv.org/abs/2103.14513v1

    • [stat.ME]Smoothing methods to estimate the hazard rate under double truncation
    Carla Moreira, Jacobo de Uña-Álvarez, Ana Cristina Santos, Henrique Barros
    http://arxiv.org/abs/2103.14153v1

    • [stat.ML]A computationally efficient neural network for predicting weather forecast probabilities
    Mariana Clare, Omar Jamil, Cyril Morcrette
    http://arxiv.org/abs/2103.14430v1

    • [stat.ML]Active multi-fidelity Bayesian online changepoint detection
    Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams
    http://arxiv.org/abs/2103.14224v1

    • [stat.ML]Deep Two-way Matrix Reordering for Relational Data Analysis
    Chihiro Watanabe, Taiji Suzuki
    http://arxiv.org/abs/2103.14203v1

    • [stat.ML]Learning landmark geodesics using Kalman ensembles
    Andreas Bock, Colin J. Cotter
    http://arxiv.org/abs/2103.14076v1

    • [stat.ML]Nearly Horizon-Free Offline Reinforcement Learning
    Tongzheng Ren, Jialian Li, Bo Dai, Simon S. Du, Sujay Sanghavi
    http://arxiv.org/abs/2103.14077v1

    • [stat.ML]Online learning with exponential weights in metric spaces
    Quentin Paris
    http://arxiv.org/abs/2103.14389v1

    • [stat.ML]The Geometry of Over-parameterized Regression and Adversarial Perturbations
    Jason W. Rocks, Pankaj Mehta
    http://arxiv.org/abs/2103.14108v1

    • [stat.ML]The convergence of the Stochastic Gradient Descent (SGD) : a self-contained proof
    Gabrel Turinici
    http://arxiv.org/abs/2103.14350v1