cond-mat.dis-nn - 无序系统与神经网络

    cond-mat.mtrl-sci - 材料科学

    cs.AI - 人工智能

    cs.AR - 硬件体系结构

    cs.CE - 计算工程、 金融和科学

    cs.CL - 计算与语言

    cs.CR - 加密与安全

    cs.CV - 机器视觉与模式识别

    cs.CY - 计算与社会

    cs.DL - 数字图书馆

    cs.GR - 计算机图形学

    cs.IR - 信息检索

    cs.IT - 信息论

    cs.LG - 自动学习

    cs.NE - 神经与进化计算

    cs.NI - 网络和互联网体系结构

    cs.RO - 机器人学

    cs.SD - 声音处理

    cs.SI - 社交网络与信息网络

    eess.IV - 图像与视频处理

    eess.SP - 信号处理

    eess.SY - 系统和控制

    math.NA - 数值分析

    math.OC - 优化与控制

    math.ST - 统计理论

    physics.bio-ph - 生物物理

    physics.optics - 光学

    physics.soc-ph - 物理学与社会

    q-bio.PE - 人口与发展

    stat.AP - 应用统计

    stat.ME - 统计方法论

    stat.ML - (统计)机器学习

    • [cond-mat.dis-nn]Scaling of neural-network quantum states for time evolution

    • [cond-mat.mtrl-sci]An End-to-End Computer Vision Methodology for Quantitative Metallography

    • [cs.AI]A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI

    • [cs.AI]Attribute-Modulated Generative Meta Learning for Zero-Shot Classification

    • [cs.AI]Efficient Non-Sampling Knowledge Graph Embedding

    • [cs.AI]Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data

    • [cs.AI]Künstliche Intelligenz, quo vadis?

    • [cs.AI]MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation

    • [cs.AI]Optimize Neural Fictitious Self-Play in Regret Minimization Thinking

    • [cs.AI]The Road Less Travelled: Trying And Failing To Generate Walking Simulators

    • [cs.AI]Time series analysis with dynamic law exploration

    • [cs.AR]Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models

    • [cs.AR]Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning

    • [cs.CE]Development of aircraft spoiler demonstrators to test strain-based SHM under realistic loading

    • [cs.CL]A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP

    • [cs.CL]Accented Speech Recognition: A Survey

    • [cs.CL]Disfluency Detection with Unlabeled Data and Small BERT Models

    • [cs.CL]Enriched Attention for Robust Relation Extraction

    • [cs.CL]Extracting Adverse Drug Events from Clinical Notes

    • [cs.CL]Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network

    • [cs.CL]Finding Fuzziness in Neural Network Models of Language Processing

    • [cs.CL]Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames

    • [cs.CL]Fuzzy Classification of Multi-intent Utterances

    • [cs.CL]Learning Fine-grained Fact-Article Correspondence in Legal Cases

    • [cs.CL]Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations

    • [cs.CL]Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand?

    • [cs.CR]CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

    • [cs.CR]Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties

    • [cs.CR]Robustness of ML-Enhanced IDS to Stealthy Adversaries

    • [cs.CR]Synchronization of Tree Parity Machines using non-binary input vectors

    • [cs.CV]A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection

    • [cs.CV]A Strong Baseline for Vehicle Re-Identification

    • [cs.CV]Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks

    • [cs.CV]Automated Tackle Injury Risk Assessment in Contact-Based Sports — A Rugby Union Example

    • [cs.CV]BEVDetNet: Bird’s Eye View

    f73

    LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving

    • [cs.CV]Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations

    • [cs.CV]Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment

    • [cs.CV]Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)

    • [cs.CV]Cross-Domain and Disentangled Face Manipulation with 3D Guidance

    • [cs.CV]Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird’s Eye View

    • [cs.CV]DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

    • [cs.CV]Deep Video Matting via Spatio-Temporal Alignment and Aggregation

    • [cs.CV]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

    • [cs.CV]Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning

    • [cs.CV]Exploring 2D Data Augmentation for 3D Monocular Object Detection

    • [cs.CV]FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

    • [cs.CV]Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning

    • [cs.CV]Fourier Contour Embedding for Arbitrary-Shaped Text Detection

    • [cs.CV]Fully Convolutional Line Parsing

    • [cs.CV]H2O: Two Hands Manipulating Objects for First Person Interaction Recognition

    • [cs.CV]Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition

    • [cs.CV]Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation

    • [cs.CV]Hierarchical Motion Understanding via Motion Programs

    • [cs.CV]Hierarchical growing grid networks for skeleton based action recognition

    • [cs.CV]ImageNet-21K Pretraining for the Masses

    • [cs.CV]KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control

    • [cs.CV]Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors

    • [cs.CV]Lighting the Darkness in the Deep Learning Era

    • [cs.CV]Localization of Ice-Rink for Broadcast Hockey Videos

    • [cs.CV]MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data

    • [cs.CV]Maneuver-based Anchor Trajectory Hypotheses at Roundabouts

    • [cs.CV]ManipulaTHOR: A Framework for Visual Object Manipulation

    • [cs.CV]Meta-learning for skin cancer detection using Deep Learning Techniques

    • [cs.CV]Multiscale Vision Transformers

    • [cs.CV]Network Space Search for Pareto-Efficient Spaces

    • [cs.CV]Neuro-inspired edge feature fusion using Choquet integrals

    • [cs.CV]On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation

    • [cs.CV]Opening up Open-World Tracking

    • [cs.CV]Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

    • [cs.CV]Pri3D: Can 3D Priors Help 2D Representation Learning?

    • [cs.CV]RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility

    • [cs.CV]Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

    • [cs.CV]Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images

    • [cs.CV]Self-Supervised Learning from Semantically Imprecise Data

    • [cs.CV]Self-optimizing loop sifting and majorization for 3D reconstruction

    • [cs.CV]Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance

    • [cs.CV]Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval

    • [cs.CV]So-ViT: Mind Visual Tokens for Vision Transformer

    • [cs.CV]Token Labeling: Training a 85.5% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet

    • [cs.CV]Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

    • [cs.CV]VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

    • [cs.CV]VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving

    • [cs.CY]”I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers

    • [cs.DL]Combining dissimilarity measure for the study of evolution in scientific fields

    • [cs.GR]Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud

    • [cs.IR]Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks

    • [cs.IR]XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

    • [cs.IT]Designing IRS-Aided MIMO Systems for Secrecy Enhancement

    • [cs.IT]Minimizing the Sum of Age of Information and Transmission Cost under Stochastic Arrival Model

    • [cs.IT]Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems

    • [cs.IT]Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas

    • [cs.IT]On Doped SC-LDPC Codes for Streaming

    • [cs.IT]Robust Testing and Estimation under Manipulation Attacks

    • [cs.IT]TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

    • [cs.IT]Trajectory Optimization and Resource Allocation for OFDMA UAV Relay Networks

    • [cs.LG]A Feature Selection Method for Multi-Dimension Time-Series Data

    • [cs.LG]A learning gap between neuroscience and reinforcement learning

    • [cs.LG]Accelerating SpMM Kernel with Cache-First Edge Sampling for GNN Inference

    • [cs.LG]An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering

    • [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

    • [cs.LG]Carbon Emissions and Large Neural Network Training

    • [cs.LG]Clustering Introductory Computer Science Exercises Using Topic Modeling Methods

    • [cs.LG]Deep limits and cut-off phenomena for neural networks

    • [cs.LG]Discovering Classification Rules for Interpretable Learning with Linear Programming

    • [cs.LG]Dual Head Adversarial Training

    • [cs.LG]Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding

    • [cs.LG]Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models

    • [cs.LG]Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

    • [cs.LG]InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks

    • [cs.LG]Lossless Compression with Latent Variable Models

    • [cs.LG]Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions

    • [cs.LG]Reinforcement Learning using Guided Observability

    • [cs.LG]Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention

    • [cs.LG]Robust Certification for Laplace Learning on Geometric Graphs

    • [cs.LG]Semiotic Aggregation in Deep Learning

    • [cs.LG]Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret

    • [cs.LG]Survey on Modeling Intensity Function of Hawkes Process Using Neural Models

    • [cs.LG]Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models

    • [cs.LG]Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings

    • [cs.NE]Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis

    • [cs.NE]Noise-Robust Deep Spiking Neural Networks with Temporal Information

    • [cs.NE]Personalizing Performance Regression Models to Black-Box Optimization Problems

    • [cs.NE]cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization

    • [cs.NI]An Efficient One-Class SVM for Anomaly Detection in the Internet of Things

    • [cs.RO]Efficient LiDAR Odometry for Autonomous Driving

    • [cs.RO]Fast MILP-based Task and Motion Planning for Pick-and-Place with Hard/Soft Constraints of Collision-Free Route

    • [cs.RO]Flocking-Segregative Swarming Behaviors using Gibbs Random Fields

    • [cs.RO]GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model

    • [cs.RO]Knowledge Triggering, Extraction and Storage via Human-Robot Verbal Interaction

    • [cs.RO]LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

    • [cs.RO]MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments

    • [cs.RO]Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series

    • [cs.RO]Multi-task Learning with Attention for End-to-end Autonomous Driving

    • [cs.RO]Relative Position Estimation Between Two UWB Devices with IMUs

    • [cs.RO]Surface Disinfection using Ultraviolet Lightwith a Mobile Manipulation Robot

    • [cs.RO]Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration

    • [cs.RO]Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder

    • [cs.RO]XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees

    • [cs.SD]Protecting gender and identity with disentangled speech representations

    • [cs.SI]COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations

    • [cs.SI]Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key

    • [cs.SI]Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic

    • [cs.SI]The Anaconda and the Dragon: institutional collaboration between Latin America and China

    • [cs.SI]The latent structure of national scientific development

    • [eess.IV]A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation

    • [eess.IV]Frequency Domain Loss Function for Deep Exposure Correction of Dark Images

    • [eess.IV]METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy

    • [eess.IV]Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks

    • [eess.IV]Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation

    • [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study

    • [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

    • [eess.IV]NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

    • [eess.IV]PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation

    • [eess.SP]The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing

    • [eess.SY]Competing Epidemics on Graphs — Global Convergence and Coexistence

    • [eess.SY]Opinion Dynamics under Social Pressure

    • [math.NA]Uniqueness and stability for the solution of a nonlinear least squares problem

    • [math.OC]Converting ADMM to a Proximal Gradient for Convex Optimization Problems

    • [math.OC]Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime

    • [math.ST]Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual

    • [math.ST]Second order Expansions for Extreme Quantiles of Burr Distributions and Asymptotic Theory of Record Values

    • [physics.bio-ph]Chasing Collective Variables using Autoencoders and biased trajectories

    • [physics.optics]Compressive lensless endoscopy with partial speckle scanning

    • [physics.soc-ph]Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach

    • [q-bio.PE]Variational Bayesian Supertrees

    • [stat.AP]A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK

    • [stat.AP]Assessing the effectiveness of regional physical distancing measures of COVID-19 in rural regions of British Columbia

    • [stat.AP]Stormwater on the Margins: Influence of Race, Gender, and Education on Willingness to Participate in Stormwater Management

    • [stat.ME]A tractable Bayesian joint model for longitudinal and survival data

    • [stat.ME]Designing efficient randomized trials: power and sample size calculation when using semiparametric efficient estimators

    • [stat.ME]Elastic analysis of irregularly or sparsely sampled curves

    • [stat.ME]Optimal Bayesian Smoothing of Functional Observations over a Large Graph

    • [stat.ML]Accurate and fast matrix factorization for low-rank learning

    • [stat.ML]Automatic model training under restrictive time constraints

    • [stat.ML]Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation

    • [stat.ML]Dataset Inference: Ownership Resolution in Machine Learning

    • [stat.ML]Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks

    • [stat.ML]Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes

    • [stat.ML]Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation

    • [stat.ML]Skeleton Clustering: Dimension-Free Density-based Clustering

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

    • [cond-mat.dis-nn]Scaling of neural-network quantum states for time evolution

    Sheng-Hsuan Lin, Frank Pollmann

    http://arxiv.org/abs/2104.10696v1

    • [cond-mat.mtrl-sci]An End-to-End Computer Vision Methodology for Quantitative Metallography

    Matan Rusanovsky, Ofer Beeri, Sigalit Ifergane, Gal Oren

    http://arxiv.org/abs/2104.11159v1

    • [cs.AI]A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI

    Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati

    http://arxiv.org/abs/2104.10743v1

    • [cs.AI]Attribute-Modulated Generative Meta Learning for Zero-Shot Classification

    Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang

    http://arxiv.org/abs/2104.10857v1

    • [cs.AI]Efficient Non-Sampling Knowledge Graph Embedding

    Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang

    http://arxiv.org/abs/2104.10796v1

    • [cs.AI]Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data

    Adrian Remonda, Sarah Krebs, Eduardo Veas, Granit Luzhnica, Roman Kern

    http://arxiv.org/abs/2104.11106v1

    • [cs.AI]Künstliche Intelligenz, quo vadis?

    Ulrike Barthelmeß, Ulrich Furbach

    http://arxiv.org/abs/2104.11067v1

    • [cs.AI]MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation

    Yang An, Liang Zhang, Mao You, Xueqing Tian, Bo Jin, Xiaopeng Wei

    http://arxiv.org/abs/2104.11026v1

    • [cs.AI]Optimize Neural Fictitious Self-Play in Regret Minimization Thinking

    Yuxuan Chen, Li Zhang, Shijian Li, Gang Pan

    http://arxiv.org/abs/2104.10845v1

    • [cs.AI]The Road Less Travelled: Trying And Failing To Generate Walking Simulators

    Michael Cook

    http://arxiv.org/abs/2104.10789v1

    • [cs.AI]Time series analysis with dynamic law exploration

    A. Jakovac

    http://arxiv.org/abs/2104.10970v1

    • [cs.AR]Enabling Cross-Layer Reliability and Functional Safety Assessment Through ML-Based Compact Models

    Dan Alexandrescu, Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux

    http://arxiv.org/abs/2104.10941v1

    • [cs.AR]Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning

    Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai, Li, Qinru Qiu

    http://arxiv.org/abs/2104.10712v1

    • [cs.CE]Development of aircraft spoiler demonstrators to test strain-based SHM under realistic loading

    Markus Winklberger, Christoph Kralovec, Martin Schagerl

    http://arxiv.org/abs/2104.10763v1

    • [cs.CL]A Short Survey of Pre-trained Language Models for Conversational AI-A NewAge in NLP

    Munazza Zaib, Quan Z. Sheng, Wei Emma Zhang

    http://arxiv.org/abs/2104.10810v1

    • [cs.CL]Accented Speech Recognition: A Survey

    Arthur Hinsvark, Natalie Delworth, Miguel Del Rio, Quinten McNamara, Joshua Dong, Ryan Westerman, Michelle Huang, Joseph Palakapilly, Jennifer Drexler, Ilya Pirkin, Nishchal Bhandari, Miguel Jette

    http://arxiv.org/abs/2104.10747v1

    • [cs.CL]Disfluency Detection with Unlabeled Data and Small BERT Models

    Johann C. Rocholl, Vicky Zayats, Daniel D. Walker, Noah B. Murad, Aaron Schneider, Daniel J. Liebling

    http://arxiv.org/abs/2104.10769v1

    • [cs.CL]Enriched Attention for Robust Relation Extraction

    Heike Adel, Jannik Strötgen

    http://arxiv.org/abs/2104.10899v1

    • [cs.CL]Extracting Adverse Drug Events from Clinical Notes

    Darshini Mahendran, Bridget T. McInnes

    http://arxiv.org/abs/2104.10791v1

    • [cs.CL]Fast Text-Only Domain Adaptation of RNN-Transducer Prediction Network

    Janne Pylkkönen, Antti Ukkonen, Juho Kilpikoski, Samu Tamminen, Hannes Heikinheimo

    http://arxiv.org/abs/2104.11127v1

    • [cs.CL]Finding Fuzziness in Neural Network Models of Language Processing

    Kanishka Misra, Julia Taylor Rayz

    http://arxiv.org/abs/2104.10813v1

    • [cs.CL]Framing Unpacked: A Semi-Supervised Interpretable Multi-View Model of Media Frames

    Shima Khanehzar, Trevor Cohn, Gosia Mikolajczak, Andrew Turpin, Lea Frermann

    http://arxiv.org/abs/2104.11030v1

    • [cs.CL]Fuzzy Classification of Multi-intent Utterances

    Geetanjali Bihani, Julia Taylor Rayz

    http://arxiv.org/abs/2104.10830v1

    • [cs.CL]Learning Fine-grained Fact-Article Correspondence in Legal Cases

    Jidong Ge, Yunyun huang, Xiaoyu Shen, Chuanyi Li, Wei Hu, Bin Luo

    http://arxiv.org/abs/2104.10726v1

    • [cs.CL]Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations

    Geetanjali Bihani, Julia Taylor Rayz

    http://arxiv.org/abs/2104.10833v1

    • [cs.CL]Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand?

    William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith

    http://arxiv.org/abs/2104.10809v1

    • [cs.CR]CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU

    Sijun Tan, Brian Knott, Yuan Tian, David J. Wu

    http://arxiv.org/abs/2104.10949v1

    • [cs.CR]Privacy-Preserved Blockchain-Federated-Learning for Medical Image Analysis Towards Multiple Parties

    Rajesh Kumar, WenYong Wang, Cheng Yuan, Jay Kumar, Zakria, He Qing, Ting Yang, Abdullah Aman Khan

    http://arxiv.org/abs/2104.10903v1

    • [cs.CR]Robustness of ML-Enhanced IDS to Stealthy Adversaries

    Vance Wong, John Emanuello

    http://arxiv.org/abs/2104.10742v1

    • [cs.CR]Synchronization of Tree Parity Machines using non-binary input vectors

    Miłosz Stypiński, Marcin Niemiec

    http://arxiv.org/abs/2104.11105v1

    • [cs.CV]A Fully Spiking Hybrid Neural Network for Energy-Efficient Object Detection

    Biswadeep Chakraborty, Xueyuan She, Saibal Mukhopadhyay

    http://arxiv.org/abs/2104.10719v1

    • [cs.CV]A Strong Baseline for Vehicle Re-Identification

    Su V. Huynh, Nam H. Nguyen, Ngoc T. Nguyen, Vinh TQ. Nguyen, Chau Huynh, Chuong Nguyen

    http://arxiv.org/abs/2104.10850v1

    • [cs.CV]Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks

    Yuansheng Hua, Lichao Moua, Jianzhe Lin, Konrad Heidler, Xiao Xiang Zhu

    http://arxiv.org/abs/2104.11200v1

    • [cs.CV]Automated Tackle Injury Risk Assessment in Contact-Based Sports — A Rugby Union Example

    Zubair Martin, Amir Patel, Sharief Hendricks

    http://arxiv.org/abs/2104.10916v1

    • [cs.CV]**BEVDetNet: Bird’s Eye View

    f73

    LiDAR Point Cloud based Real-time 3D Object Detection for Autonomous Driving**

    Sambit Mohapatra, Senthil Yogamani, Heinrich Gotzig, Stefan Milz, Patrick Mader

    http://arxiv.org/abs/2104.10780v1

    • [cs.CV]Colonoscopy Polyp Detection and Classification: Dataset Creation and Comparative Evaluations

    Kaidong Li, Mohammad I. Fathan, Krushi Patel, Tianxiao Zhang, Cuncong Zhong, Ajay Bansal, Amit Rastogi, Jean S. Wang, Guanghui Wang

    http://arxiv.org/abs/2104.10824v1

    • [cs.CV]Computer Vision-based Social Distancing Surveillance Solution with Optional Automated Camera Calibration for Large Scale Deployment

    Sreetama Das, Anirban Nag, Dhruba Adhikary, Ramswaroop Jeevan Ram, Aravind BR, Sujit Kumar Ojha, Guruprasad M Hegde

    http://arxiv.org/abs/2104.10891v1

    • [cs.CV]Continental-scale land cover mapping at 10 m resolution over Europe (ELC10)

    Zander S. Venter, Markus A. K. Sydenham

    http://arxiv.org/abs/2104.10922v1

    • [cs.CV]Cross-Domain and Disentangled Face Manipulation with 3D Guidance

    Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

    http://arxiv.org/abs/2104.11228v1

    • [cs.CV]Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird’s Eye View

    Alejandro Barrera, Jorge Beltrán, Carlos Guindel, Jose Antonio Iglesias, Fernando García

    http://arxiv.org/abs/2104.11021v1

    • [cs.CV]DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

    Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang

    http://arxiv.org/abs/2104.10834v1

    • [cs.CV]Deep Video Matting via Spatio-Temporal Alignment and Aggregation

    Yanan Sun, Guanzhi Wang, Qiao Gu, Chi-Keung Tang, Yu-Wing Tai

    http://arxiv.org/abs/2104.11208v1

    • [cs.CV]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

    Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata

    http://arxiv.org/abs/2104.10955v1

    • [cs.CV]Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning

    Weizhe Liu, David Ferstl, Samuel Schulter, Lukas Zebedin, Pascal Fua, Christian Leistner

    http://arxiv.org/abs/2104.11056v1

    • [cs.CV]Exploring 2D Data Augmentation for 3D Monocular Object Detection

    Sugirtha T, Sridevi M, Khailash Santhakumar, B Ravi Kiran, Thomas Gauthier, Senthil Yogamani

    http://arxiv.org/abs/2104.10786v1

    • [cs.CV]FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

    Tai Wang, Xinge Zhu, Jiangmiao Pang, Dahua Lin

    http://arxiv.org/abs/2104.10956v1

    • [cs.CV]Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning

    Savvas Karatsiolis, Andreas Kamilaris

    http://arxiv.org/abs/2104.10874v1

    • [cs.CV]Fourier Contour Embedding for Arbitrary-Shaped Text Detection

    Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang

    http://arxiv.org/abs/2104.10442v2

    • [cs.CV]Fully Convolutional Line Parsing

    Xili Dai, Xiaojun Yuan, Haigang Gong, Yi Ma

    http://arxiv.org/abs/2104.11207v1

    • [cs.CV]H2O: Two Hands Manipulating Objects for First Person Interaction Recognition

    Taein Kwon, Bugra Tekin, Jan Stuhmer, Federica Bogo, Marc Pollefeys

    http://arxiv.org/abs/2104.11181v1

    • [cs.CV]Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition

    Jian Pang, Dacheng Zhang, Huafeng Li, Weifeng Liu, Zhengtao Yu

    http://arxiv.org/abs/2104.11004v1

    • [cs.CV]Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation

    Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada

    http://arxiv.org/abs/2104.11176v1

    • [cs.CV]Hierarchical Motion Understanding via Motion Programs

    Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu

    http://arxiv.org/abs/2104.11216v1

    • [cs.CV]Hierarchical growing grid networks for skeleton based action recognition

    Zahra Gharaee

    http://arxiv.org/abs/2104.11165v1

    • [cs.CV]ImageNet-21K Pretraining for the Masses

    Tal Ridnik, Emanuel Ben-Baruch, Asaf Noy, Lihi Zelnik-Manor

    http://arxiv.org/abs/2104.10972v1

    • [cs.CV]KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control

    Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa

    http://arxiv.org/abs/2104.11224v1

    • [cs.CV]Learning Transferable 3D Adversarial Cloaks for Deep Trained Detectors

    Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj

    http://arxiv.org/abs/2104.11101v1

    • [cs.CV]Lighting the Darkness in the Deep Learning Era

    Chongyi Li, Chunle Guo, Linghao Han, Jun Jiang, Ming-Ming Cheng, Jinwei Gu, Chen Change Loy

    http://arxiv.org/abs/2104.10729v1

    • [cs.CV]Localization of Ice-Rink for Broadcast Hockey Videos

    Mehrnaz Fani, Pascale Berunelle Walters, David A. Clausi, John Zelek, Alexander Wong

    http://arxiv.org/abs/2104.10847v1

    • [cs.CV]MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data

    Ankit Laddha, Shivam Gautam, Stefan Palombo, Shreyash Pandey, Carlos Vallespi-Gonzalez

    http://arxiv.org/abs/2104.10772v1

    • [cs.CV]Maneuver-based Anchor Trajectory Hypotheses at Roundabouts

    Mohamed Hasan, Evangelos Paschalidis, Albert Solernou, He Wang, Gustav Markkula, Richard Romano

    http://arxiv.org/abs/2104.11180v1

    • [cs.CV]ManipulaTHOR: A Framework for Visual Object Manipulation

    Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi

    http://arxiv.org/abs/2104.11213v1

    • [cs.CV]Meta-learning for skin cancer detection using Deep Learning Techniques

    Sara I. Garcia

    http://arxiv.org/abs/2104.10775v1

    • [cs.CV]Multiscale Vision Transformers

    Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer

    http://arxiv.org/abs/2104.11227v1

    • [cs.CV]Network Space Search for Pareto-Efficient Spaces

    Min-Fong Hong, Hao-Yun Chen, Min-Hung Chen, Yu-Syuan Xu, Hsien-Kai Kuo, Yi-Min Tsai, Hung-Jen Chen, Kevin Jou

    http://arxiv.org/abs/2104.11014v1

    • [cs.CV]Neuro-inspired edge feature fusion using Choquet integrals

    Cedric Marco-Detchart, Giancarlo Lucca, Carlos Lopez-Molina, Laura De Miguel, Graçaliz Pereira Dimuro, Humberto Bustince

    http://arxiv.org/abs/2104.10984v1

    • [cs.CV]On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation

    Gaurav Parmar, Richard Zhang, Jun-Yan Zhu

    http://arxiv.org/abs/2104.11222v1

    • [cs.CV]Opening up Open-World Tracking

    Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljoša Ošep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé

    http://arxiv.org/abs/2104.11221v1

    • [cs.CV]Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

    Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, Ziwei Liu

    http://arxiv.org/abs/2104.11116v1

    • [cs.CV]Pri3D: Can 3D Priors Help 2D Representation Learning?

    Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner

    http://arxiv.org/abs/2104.11225v1

    • [cs.CV]RANSIC: Fast and Highly Robust Estimation for Rotation Search and Point Cloud Registration using Invariant Compatibility

    Lei Sun

    http://arxiv.org/abs/2104.09133v3

    • [cs.CV]Relational Subsets Knowledge Distillation for Long-tailed Retinal Diseases Recognition

    Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, Zongyuan Ge

    http://arxiv.org/abs/2104.11057v1

    • [cs.CV]Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images

    Bolivar Solarte, Chin-Hsuan Wu, Kuan-Wei Lu, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai

    http://arxiv.org/abs/2104.10900v1

    • [cs.CV]Self-Supervised Learning from Semantically Imprecise Data

    Clemens-Alexander Brust, Björn Barz, Joachim Denzler

    http://arxiv.org/abs/2104.10901v1

    • [cs.CV]Self-optimizing loop sifting and majorization for 3D reconstruction

    Guoxiang Zhang, YangQuan Chen

    http://arxiv.org/abs/2104.10826v1

    • [cs.CV]Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance

    Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist

    http://arxiv.org/abs/2104.11028v1

    • [cs.CV]Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval

    Anibal Fuentes, Jose M. Saavedra

    http://arxiv.org/abs/2104.11130v1

    • [cs.CV]So-ViT: Mind Visual Tokens for Vision Transformer

    Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li

    http://arxiv.org/abs/2104.10935v1

    • [cs.CV]Token Labeling: Training a 85.5% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet

    Zihang Jiang, Qibin Hou, Li Yuan, Daquan Zhou, Xiaojie Jin, Anran Wang, Jiashi Feng

    http://arxiv.org/abs/2104.10858v1

    • [cs.CV]Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting

    Qiming Wu, Zhikang Zou, Pan Zhou, Xiaoqing Ye, Binghui Wang, Ang Li

    http://arxiv.org/abs/2104.10868v1

    • [cs.CV]VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

    Hassan Akbari, Linagzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong

    http://arxiv.org/abs/2104.11178v1

    • [cs.CV]VM-MODNet: Vehicle Motion aware Moving Object Detection for Autonomous Driving

    Hazem Rashed, Ahmad El Sallab, Senthil Yogamani

    http://arxiv.org/abs/2104.10985v1

    • [cs.CY]“I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers

    Periwinkle Doerfler, Andrea Forte, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn, Damon McCoy

    http://arxiv.org/abs/2104.11145v1

    • [cs.DL]Combining dissimilarity measure for the study of evolution in scientific fields

    Lukun Zheng, Yuhang Jiang

    http://arxiv.org/abs/2104.10996v1

    • [cs.GR]Voxel Structure-based Mesh Reconstruction from a 3D Point Cloud

    Chenlei Lv, Weisi Lin, Baoquan Zhao

    http://arxiv.org/abs/2104.10622v2

    • [cs.IR]Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks

    Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie

    http://arxiv.org/abs/2104.10925v1

    • [cs.IR]XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction

    Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen

    http://arxiv.org/abs/2104.10907v1

    • [cs.IT]Designing IRS-Aided MIMO Systems for Secrecy Enhancement

    Saba Asaad, Yifei Wu, Ali Bereyhi Ralf R. Müller, Rafael F. Schaefer, H. Vincent Poor

    http://arxiv.org/abs/2104.10977v1

    • [cs.IT]Minimizing the Sum of Age of Information and Transmission Cost under Stochastic Arrival Model

    Kumar Saurav, Rahul Vaze

    http://arxiv.org/abs/2104.10905v1

    • [cs.IT]Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems

    Xisuo Ma, Zhen Gao, Feifei Gao, Marco Di Renzo

    http://arxiv.org/abs/2104.11052v1

    • [cs.IT]Multi-point Coordination in Massive MIMO Systems with Sectorized Antennas

    Shahram Shahsavari, Mehrdad Nosrati, Parisa Hassanzadeh, Alexei Ashikhmin, Thomas L. Marzetta, Elza Erkip

    http://arxiv.org/abs/2104.10805v1

    • [cs.IT]On Doped SC-LDPC Codes for Streaming

    Roman Sokolovskii, Alexandre Graell i Amat, Fredrik Brännström

    http://arxiv.org/abs/2104.11090v1

    • [cs.IT]Robust Testing and Estimation under Manipulation Attacks

    Jayadev Acharya, Ziteng Sun, Huanyu Zhang

    http://arxiv.org/abs/2104.10740v1

    • [cs.IT]TeraMIMO: A Channel Simulator for Wideband Ultra-Massive MIMO Terahertz Communications

    Simon Tarboush, Hadi Sarieddeen, Hui Chen, Mohamed Habib Loukil, Hakim Jemaa, Mohamed Slim Alouini, Tareq Y. Al-Naffouri

    http://arxiv.org/abs/2104.11054v1

    • [cs.IT]Trajectory Optimization and Resource Allocation for OFDMA UAV Relay Networks

    Shuhao Zeng, Hongliang Zhang, Boya Di, Lingyang Song

    http://arxiv.org/abs/2104.11091v1

    • [cs.LG]A Feature Selection Method for Multi-Dimension Time-Series Data

    Bahavathy Kathirgamanathan, Padraig Cunningham

    http://arxiv.org/abs/2104.11110v1

    • [cs.LG]A learning gap between neuroscience and reinforcement learning

    Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt

    http://arxiv.org/abs/2104.10995v1

    • [cs.LG]Accelerating SpMM Kernel with Cache-First Edge Sampling for GNN Inference

    Chien-Yu Lin, Liang Luo, Luis Ceze

    http://arxiv.org/abs/2104.10716v1

    • [cs.LG]An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering

    Kun Li, Liang Yuan, Yunquan Zhang, Gongwei Chen

    http://arxiv.org/abs/2104.10819v1

    • [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

    James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse

    http://arxiv.org/abs/2104.11044v1

    • [cs.LG]Carbon Emissions and Large Neural Network Training

    David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, Jeff Dean

    http://arxiv.org/abs/2104.10350v2

    • [cs.LG]Clustering Introductory Computer Science Exercises Using Topic Modeling Methods

    Laura O. Moraes, Carlos Eduardo Pedreira

    http://arxiv.org/abs/2104.10748v1

    • [cs.LG]Deep limits and cut-off phenomena for neural networks

    Benny Avelin, Anders Karlsson

    http://arxiv.org/abs/2104.10727v1

    • [cs.LG]Discovering Classification Rules for Interpretable Learning with Linear Programming

    M. Hakan Akyüz, Ş. İlker Birbil

    http://arxiv.org/abs/2104.10751v1

    • [cs.LG]Dual Head Adversarial Training

    Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey

    http://arxiv.org/abs/2104.10377v2

    • [cs.LG]Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding

    Shimin Di, Quanming Yao, Yongqi Zhang, Lei Chen

    http://arxiv.org/abs/2104.10880v1

    • [cs.LG]Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models

    Arnd Koeppe, Franz Bamer, Michael Selzer, Britta Nestler, Bernd Markert

    http://arxiv.org/abs/2104.10683v1

    • [cs.LG]Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

    Chengwei Zhang, Shan Jin, Wanli Xue, Xiaofei Xie, Shengyong Chen, Rong Chen

    http://arxiv.org/abs/2104.10917v1

    • [cs.LG]InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks

    Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin

    http://arxiv.org/abs/2104.10853v1

    • [cs.LG]Lossless Compression with Latent Variable Models

    James Townsend

    http://arxiv.org/abs/2104.10544v2

    • [cs.LG]Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions

    Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li

    http://arxiv.org/abs/2104.11103v1

    • [cs.LG]Reinforcement Learning using Guided Observability

    Stephan Weigand, Pascal Klink, Jan Peters, Joni Pajarinen

    http://arxiv.org/abs/2104.10986v1

    • [cs.LG]Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention

    Abhishek Gupta, Justin Yu, Tony Z. Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, Sergey Levine

    http://arxiv.org/abs/2104.11203v1

    • [cs.LG]Robust Certification for Laplace Learning on Geometric Graphs

    Matthew Thorpe, Bao Wang

    http://arxiv.org/abs/2104.10837v1

    • [cs.LG]Semiotic Aggregation in Deep Learning

    Bogdan Musat, Razvan Andonie

    http://arxiv.org/abs/2104.10931v1

    • [cs.LG]Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret

    Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric

    http://arxiv.org/abs/2104.11186v1

    • [cs.LG]Survey on Modeling Intensity Function of Hawkes Process Using Neural Models

    Jayesh Malaviya

    http://arxiv.org/abs/2104.11092v1

    • [cs.LG]Train Once and Use Forever: Solving Boundary Value Problems in Unseen Domains with Pre-trained Deep Learning Models

    Hengjie Wang, Robert Planas, Aparna Chandramowlishwaran, Ramin Bostanabad

    http://arxiv.org/abs/2104.10873v1

    • [cs.LG]Uncertainty-Aware Boosted Ensembling in Multi-Modal Settings

    Utkarsh Sarawgi, Rishab Khincha, Wazeer Zulfikar, Satrajit Ghosh, Pattie Maes

    http://arxiv.org/abs/2104.10715v1

    • [cs.NE]Continuous Learning and Adaptation with Membrane Potential and Activation Threshold Homeostasis

    Alexander Hadjiivanov

    http://arxiv.org/abs/2104.10851v1

    • [cs.NE]Noise-Robust Deep Spiking Neural Networks with Temporal Information

    Seongsik Park, Dongjin Lee, Sungroh Yoon

    http://arxiv.org/abs/2104.11169v1

    • [cs.NE]Personalizing Performance Regression Models to Black-Box Optimization Problems

    Tome Eftimov, Anja Jankovic, Gorjan Popovski, Carola Doerr, Peter Korošec

    http://arxiv.org/abs/2104.10999v1

    • [cs.NE]cMLSGA: A Co-Evolutionary Multi-Level Selection Genetic Algorithm for Multi-Objective Optimization

    P. A. Grudniewski, A. J. Sobey

    http://arxiv.org/abs/2104.11072v1

    • [cs.NI]An Efficient One-Class SVM for Anomaly Detection in the Internet of Things

    Kun Yang, Samory Kpotufe, Nick Feamster

    http://arxiv.org/abs/2104.11146v1

    • [cs.RO]Efficient LiDAR Odometry for Autonomous Driving

    Xin Zheng, Jianke Zhu

    http://arxiv.org/abs/2104.10879v1

    • [cs.RO]Fast MILP-based Task and Motion Planning for Pick-and-Place with Hard/Soft Constraints of Collision-Free Route

    Takuma Kogo, Kei Takaya, Hiroyuki Oyama

    http://arxiv.org/abs/2104.10889v1

    • [cs.RO]Flocking-Segregative Swarming Behaviors using Gibbs Random Fields

    Paulo Rezeck, Renato M. Assuncao, Luiz Chaimowicz

    http://arxiv.org/abs/2104.10814v1

    • [cs.RO]GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model

    Zhaoming Xie, Xingye Da, Buck Babich, Animesh Garg, Michiel van de Panne

    http://arxiv.org/abs/2104.09771v2

    • [cs.RO]Knowledge Triggering, Extraction and Storage via Human-Robot Verbal Interaction

    Lucrezia Grassi, Carmine Tommaso Recchiuto, Antonio Sgorbissa

    http://arxiv.org/abs/2104.11170v1

    • [cs.RO]LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

    Tixiao Shan, Brendan Englot, Carlo Ratti, Daniela Rus

    http://arxiv.org/abs/2104.10831v1

    • [cs.RO]MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments

    Zongyuan Shen, James P. Wilson, Ryan Harvey, Shalabh Gupta

    http://arxiv.org/abs/2104.11059v1

    • [cs.RO]Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series

    Sylvain Calinon

    http://arxiv.org/abs/2104.10731v1

    • [cs.RO]Multi-task Learning with Attention for End-to-end Autonomous Driving

    Keishi Ishihara, Anssi Kanervisto, Jun Miura, Ville Hautamäki

    http://arxiv.org/abs/2104.10753v1

    • [cs.RO]Relative Position Estimation Between Two UWB Devices with IMUs

    Charles C. Cossette, Mohammed Shalaby, David Saussié, James R. Forbes, Jérôme Le Ny

    http://arxiv.org/abs/2104.10730v1

    • [cs.RO]Surface Disinfection using Ultraviolet Lightwith a Mobile Manipulation Robot

    Alan G. Sanchez, William D. Smart

    http://arxiv.org/abs/2104.10739v1

    • [cs.RO]Trust as Extended Control: Active Inference and User Feedback During Human-Robot Collaboration

    Felix Schoeller, Mark Miller, Roy Salomon, Karl J. Friston

    http://arxiv.org/abs/2104.11153v1

    • [cs.RO]Unsupervised anomaly detection for a Smart Autonomous Robotic Assistant Surgeon (SARAS)using a deep residual autoencoder

    Dinesh Jackson Samuel, Fabio Cuzzolin

    http://arxiv.org/abs/2104.11008v1

    • [cs.RO]XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees

    Aaron M. Roth, Jing Liang, Dinesh Manocha

    http://arxiv.org/abs/2104.10818v1

    • [cs.SD]Protecting gender and identity with disentangled speech representations

    Dimitrios Stoidis, Andrea Cavallaro

    http://arxiv.org/abs/2104.11051v1

    • [cs.SI]COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations

    Shayan Fazeli, Davina Zamanzadeh, Anaelia Ovalle, Thu Nguyen, Gilbert Gee, Majid Sarrafzadeh

    http://arxiv.org/abs/2104.10807v1

    • [cs.SI]Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key

    Amit Sheth, Valerie L. Shalin, Ugur Kursuncu

    http://arxiv.org/abs/2104.10788v1

    • [cs.SI]Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic

    Karandeep Singh, Gabriel Lima, Meeyoung Cha, Chiyoung Cha, Juhi Kulshrestha, Yong-Yeol Ahn, Onur Varol

    http://arxiv.org/abs/2104.10864v1

    • [cs.SI]The Anaconda and the Dragon: institutional collaboration between Latin America and China

    Julian D. Cortes

    http://arxiv.org/abs/2104.11119v1

    • [cs.SI]The latent structure of national scientific development

    Lili Miao, Dakota Murray, Woo-Sung Jung, Vincent Larivière, Cassidy R. Sugimoto, Yong-Yeol Ahn

    http://arxiv.org/abs/2104.10812v1

    • [eess.IV]A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation

    Minh H. Vu, Gabriella Norman, Tufve Nyholm, Tommy Löfstedt

    http://arxiv.org/abs/2104.11020v1

    • [eess.IV]Frequency Domain Loss Function for Deep Exposure Correction of Dark Images

    Ojasvi Yadav, Koustav Ghosal, Sebastian Lutz, Aljosa Smolic

    http://arxiv.org/abs/2104.10856v1

    • [eess.IV]METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy

    Izabela Horvath, Johannes C. Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertuerk, Bjoern H. Menze

    http://arxiv.org/abs/2104.10993v1

    • [eess.IV]Multi-Class Micro-CT Image Segmentation Using Sparse Regularized Deep Networks

    Amirsaeed Yazdani, Yung-Chen Sun, Nicholas B. Stephens, Timothy Ryan, Vishal Monga

    http://arxiv.org/abs/2104.10705v1

    • [eess.IV]Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation

    Jingnan Jia, Zhiwei Zhai, M. Els Bakker, I. Hernandez Giron, Marius Staring, Berend C. Stoel

    http://arxiv.org/abs/2104.11017v1

    • [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study

    Ren Yang, Radu Timofte

    http://arxiv.org/abs/2104.10782v1

    • [eess.IV]NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results

    Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhognqian Fu, Shuai Xiao, Cheng li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang

    http://arxiv.org/abs/2104.10781v1

    • [eess.IV]NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy

    Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen

    http://arxiv.org/abs/2104.11138v1

    • [eess.IV]PocketNet: A Smaller Neural Network for 3D Medical Image Segmentation

    Adrian Celaya, Jonas Actor, Rajarajeswari Muthusivarajan, Evan Gates, Caroline Chung, Dawid Schellingerhout, Beatrice Riviere, David Fuentes

    http://arxiv.org/abs/2104.10745v1

    • [eess.SP]The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing

    Robert Bassett, Jacob Foster, Kay L. Gemba, Paul Leary, Kevin B. Smith

    http://arxiv.org/abs/2104.10735v1

    • [eess.SY]Competing Epidemics on Graphs — Global Convergence and Coexistence

    Vishwaraj Doshi, Shailaja Mallick, Do Young Eun

    http://arxiv.org/abs/2104.10872v1

    • [eess.SY]Opinion Dynamics under Social Pressure

    Ali Jadbabaie, Anuran Makur, Elchanan Mossel, Rabih Salhab

    http://arxiv.org/abs/2104.11172v1

    • [math.NA]Uniqueness and stability for the solution of a nonlinear least squares problem

    Meng Huang, Zhiqiang Xu

    http://arxiv.org/abs/2104.10841v1

    • [math.OC]Converting ADMM to a Proximal Gradient for Convex Optimization Problems

    Ryosuke Shimmura, Joe Suzuki

    http://arxiv.org/abs/2104.10911v1

    • [math.OC]Sharp Global Guarantees for Nonconvex Low-Rank Matrix Recovery in the Overparameterized Regime

    Richard Y. Zhang

    http://arxiv.org/abs/2104.10790v1

    • [math.ST]Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual

    Ksheera Sagar K. N, Sayantan Banerjee, Jyotishka Datta, Anindya Bhadra

    http://arxiv.org/abs/2104.10750v1

    • [math.ST]Second order Expansions for Extreme Quantiles of Burr Distributions and Asymptotic Theory of Record Values

    Moumouni Diallo, Modou Ngom, Akim Adekpedjou, Gane Samb Lo

    http://arxiv.org/abs/2104.10808v1

    • [physics.bio-ph]Chasing Collective Variables using Autoencoders and biased trajectories

    Zineb Belkacemi, Paraskevi Gkeka, Tony Lelièvre, Gabriel Stoltz

    http://arxiv.org/abs/2104.11061v1

    • [physics.optics]Compressive lensless endoscopy with partial speckle scanning

    Stéphanie Guérit, Siddharth Sivankutty, John Aldo Lee, Hervé Rigneault, Laurent Jacques

    http://arxiv.org/abs/2104.10959v1

    • [physics.soc-ph]Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach

    N. L. Barreiro, C. I. Ventura, T. Govezensky, M. Núñez, P. G. Bolcatto, R. A. Barrio

    http://arxiv.org/abs/2104.09590v2

    • [q-bio.PE]Variational Bayesian Supertrees

    Michael Karcher, Cheng Zhang, Frederick A Matsen IV

    http://arxiv.org/abs/2104.11191v1

    • [stat.AP]A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK

    Thomas Pinder, Michael Hollaway, Christopher Nemeth, Paul J. Young, David Leslie

    http://arxiv.org/abs/2104.10979v1

    • [stat.AP]Assessing the effectiveness of regional physical distancing measures of COVID-19 in rural regions of British Columbia

    Geoffrey McGregor, Jennifer Tippett, Andy T. S. Wan, Mengxiao Wang, Samuel W. K. Wong

    http://arxiv.org/abs/2104.10878v1

    • [stat.AP]Stormwater on the Margins: Influence of Race, Gender, and Education on Willingness to Participate in Stormwater Management

    Rachel D. Scarlett, Mangala Subramaniam, Sara K. McMillan, Anastasia T. Ingermann, Sandra M. Clinton

    http://arxiv.org/abs/2104.10720v1

    • [stat.ME]A tractable Bayesian joint model for longitudinal and survival data

    Danilo Alvares, Francisco Javier Rubio

    http://arxiv.org/abs/2104.10906v1

    • [stat.ME]Designing efficient randomized trials: power and sample size calculation when using semiparametric efficient estimators

    Alejandro Schuler

    http://arxiv.org/abs/2104.10784v1

    • [stat.ME]Elastic analysis of irregularly or sparsely sampled curves

    Lisa Steyer, Almond Stöcker, Sonja Greven

    http://arxiv.org/abs/2104.11039v1

    • [stat.ME]Optimal Bayesian Smoothing of Functional Observations over a Large Graph

    Arkaprava Roy, Shubhashis Ghosal

    http://arxiv.org/abs/2104.10335v2

    • [stat.ML]Accurate and fast matrix factorization for low-rank learning

    Reza Godaz, Reza Monsefi, Faezeh Toutounian, Reshad Hosseini

    http://arxiv.org/abs/2104.10785v1

    • [stat.ML]Automatic model training under restrictive time constraints

    Lukas Cironis, Jan Palczewski, Georgios Aivaliotis

    http://arxiv.org/abs/2104.10746v1

    • [stat.ML]Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation

    Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi

    http://arxiv.org/abs/2104.10840v1

    • [stat.ML]Dataset Inference: Ownership Resolution in Machine Learning

    Pratyush Maini, Mohammad Yaghini, Nicolas Papernot

    http://arxiv.org/abs/2104.10706v1

    • [stat.ML]Deep learning for detecting bid rigging: Flagging cartel participants based on convolutional neural networks

    Martin Huber, David Imhof

    http://arxiv.org/abs/2104.11142v1

    • [stat.ML]Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes

    Pravin Bhasme, Jenil Vagadiya, Udit Bhatia

    http://arxiv.org/abs/2104.11009v1

    • [stat.ML]Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation

    Adam Scibior, Vasileios Lioutas, Daniele Reda, Peyman Bateni, Frank Wood

    http://arxiv.org/abs/2104.11212v1

    • [stat.ML]Skeleton Clustering: Dimension-Free Density-based Clustering

    Zeyu Wei, Yen-Chi Chen

    http://arxiv.org/abs/2104.10770v1