cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.OC - 优化与控制 math.ST - 统计理论 physics.geo-ph - 地球物理学 physics.ins-det - 仪器和探测器 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]A New Challenge: Approaching Tetris Link with AI
• [cs.AI]A hybrid optimization procedure for solving a tire curing scheduling problem
• [cs.AI]Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
• [cs.AI]Suphx: Mastering Mahjong with Deep Reinforcement Learning
• [cs.AI]Unification-based Reconstruction of Explanations for Science Questions
• [cs.CL]A Clustering Framework for Lexical Normalization of Roman Urdu
• [cs.CL]A Swiss German Dictionary: Variation in Speech and Writing
• [cs.CL]Adversarial Transfer Learning for Punctuation Restoration
• [cs.CL]An Improved Classification Model for Igbo Text Using N-Gram And K-Nearest Neighbour Approaches
• [cs.CL]Appraisal Theories for Emotion Classification in Text
• [cs.CL]Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study
• [cs.CL]Automatic Extraction of Bengali Root Verbs using Paninian Grammar
• [cs.CL]Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream
• [cs.CL]Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security
• [cs.CL]Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding
• [cs.CL]Give your Text Representation Models some Love: the Case for Basque
• [cs.CL]Multilingual Stance Detection: The Catalonia Independence Corpus
• [cs.CL]Sign Language Translation with Transformers
• [cs.CR]Botnet Detection Using Recurrent Variational Autoencoder
• [cs.CR]On the privacy of a code-based single-server computational PIR scheme
• [cs.CV]Articulation-aware Canonical Surface Mapping
• [cs.CV]Boosting Deep Hyperspectral Image Classification with Spectral Unmixing
• [cs.CV]Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds
• [cs.CV]Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
• [cs.CV]Conditional Channel Gated Networks for Task-Aware Continual Learning
• [cs.CV]DPGN: Distribution Propagation Graph Network for Few-shot Learning
• [cs.CV]Deep Semantic Matching with Foreground Detection and Cycle-Consistency
• [cs.CV]Digit Recognition Using Convolution Neural Network
• [cs.CV]EOLO: Embedded Object Segmentation only Look Once
• [cs.CV]EPOS: Estimating 6D Pose of Objects with Symmetries
• [cs.CV]Evading Deepfake-Image Detectors with White- and Black-Box Attacks
• [cs.CV]Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage
• [cs.CV]Feature-Driven Super-Resolution for Object Detection
• [cs.CV]Future Video Synthesis with Object Motion Prediction
• [cs.CV]HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
• [cs.CV]High-Performance Long-Term Tracking with Meta-Updater
• [cs.CV]Image Demoireing with Learnable Bandpass Filters
• [cs.CV]In-Domain GAN Inversion for Real Image Editing
• [cs.CV]Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
• [cs.CV]LGVTON: A Landmark Guided Approach to Virtual Try-On
• [cs.CV]Learning Generative Models of Tissue Organization with Supervised GANs
• [cs.CV]Learning to Cluster Faces via Confidence and Connectivity Estimation
• [cs.CV]Learning to Select Base Classes for Few-shot Classification
• [cs.CV]M2m: Imbalanced Classification via Major-to-minor Translation
• [cs.CV]Medical-based Deep Curriculum Learning for Improved Fracture Classification
• [cs.CV]More Grounded Image Captioning by Distilling Image-Text Matching Model
• [cs.CV]NBDT: Neural-Backed Decision Trees
• [cs.CV]PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
• [cs.CV]Physically Realizable Adversarial Examples for LiDAR Object Detection
• [cs.CV]Recognizing Characters in Art History Using Deep Learning
• [cs.CV]Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
• [cs.CV]Revisiting Few-shot Activity Detection with Class Similarity Control
• [cs.CV]Semantic Drift Compensation for Class-Incremental Learning
• [cs.CV]Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network
• [cs.CV]Shared Cross-Modal Trajectory Prediction for Autonomous Driving
• [cs.CV]Single Image Optical Flow Estimation with an Event Camera
• [cs.CV]SoftSMPL: Data-driven Modeling of Nonlinear Soft-tissue Dynamics for Parametric Humans
• [cs.CV]Spatio-Temporal Action Detection with Multi-Object Interaction
• [cs.CV]Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos
• [cs.CV]StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
• [cs.CV]Symmetry and Group in Attribute-Object Compositions
• [cs.CV]TITAN: Future Forecast using Action Priors
• [cs.CV]The Edge of Depth: Explicit Constraints between Segmentation and Depth
• [cs.CV]Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
• [cs.CV]Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
• [cs.CV]TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
• [cs.CV]Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata
• [cs.CV]Two-shot Spatially-varying BRDF and Shape Estimation
• [cs.CY]Anonymous Collocation Discovery:Taming the Coronavirus While Preserving Privacy
• [cs.CY]Beyond privacy regulations: an ethical approach to data usage in transportation
• [cs.CY]Improvement of electronic Governance and mobile Governance in Multilingual Countries with Digital Etymology using Sanskrit Grammar
• [cs.CY]You can do RLAs for IRV
• [cs.DB]Deep Entity Matching with Pre-Trained Language Models
• [cs.DC]Pacloud: Towards a Universal Cloud-based Linux Package Manager
• [cs.DC]Scheduling Parallel-Task Jobs Subject to Packing and Placement Constraints
• [cs.DC]Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations
• [cs.DS]The Discrete Gaussian for Differential Privacy
• [cs.GT]No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria
• [cs.HC]A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving
• [cs.HC]Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis
• [cs.IR]Deep Learning on Knowledge Graph for Recommender System: A Survey
• [cs.IR]Impact of Semantic Granularity on Geographic Information Search Support
• [cs.IR]Interpretable Deep Learning Model for Online Multi-touch Attribution
• [cs.IR]Recommandation ontologique multicritère pour la métrologie
• [cs.IR]Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes
• [cs.IR]Task-adaptive Asymmetric Deep Cross-modal Hashing
• [cs.IT]A note on Onicescu’s informational energy and correlation coefficient in exponential families
• [cs.IT]Distributed Precoding Design via Over-the-Air Signaling for Cell-Free Massive MIMO
• [cs.IT]Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission
• [cs.IT]On Age and Value of Information in Status Update Systems
• [cs.IT]Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness
• [cs.LG]A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction
• [cs.LG]A theory of independent mechanisms for extrapolation in generative models
• [cs.LG]Adversarial Attacks on Multivariate Time Series
• [cs.LG]Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
• [cs.LG]Assisted Learning and Imitation Privacy
• [cs.LG]Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
• [cs.LG]Differential Privacy for Sequential Algorithms
• [cs.LG]Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results
• [cs.LG]Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
• [cs.LG]Editable Neural Networks
• [cs.LG]Exploration in Action Space
• [cs.LG]Extreme Multi-label Classification from Aggregated Labels
• [cs.LG]From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction
• [cs.LG]Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping
• [cs.LG]Generation of Paths in a Maze using a Deep Network without Learning
• [cs.LG]Gossip and Attend: Context-Sensitive Graph Representation Learning
• [cs.LG]Handling Concept Drifts in Regression Problems — the Error Intersection Approach
• [cs.LG]Information Leakage in Embedding Models
• [cs.LG]Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
• [cs.LG]MetaPoison: Practical General-purpose Clean-label Data Poisoning
• [cs.LG]Multi-label learning for dynamic model type recommendation
• [cs.LG]NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
• [cs.LG]Neural Communication Systems with Bandwidth-limited Channel
• [cs.LG]Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
• [cs.LG]One-shot path planning for multi-agent systems using fully convolutional neural network
• [cs.LG]Ontology-based Interpretable Machine Learning for Textual Data
• [cs.LG]Optimal Bidding Strategy without Exploration in Real-time Bidding
• [cs.LG]SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
• [cs.LG]Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
• [cs.LG]Statistical Queries and Statistical Algorithms: Foundations and Applications
• [cs.LG]Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning
• [cs.LG]Tightened Convex Relaxations for Neural Network Robustness Certification
• [cs.LG]Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems
• [cs.LG]Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
• [cs.LG]Work in Progress: Temporally Extended Auxiliary Tasks
• [cs.MA]Automated Configuration of Negotiation Strategies
• [cs.NE]Distributed Embodied Evolution in Networks of Agents
• [cs.NE]Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution
• [cs.NE]Incremental Evolution and Development of Deep Artificial Neural Networks
• [cs.NE]Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks
• [cs.NE]Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions
• [cs.NE]Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure
• [cs.PL]OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints
• [cs.PL]Streaming Temporal Graphs: Subgraph Matching
• [cs.RO]APPLD: Adaptive Planner Parameter Learning from Demonstration
• [cs.RO]Coupling of localization and depth data for mapping using Intel RealSense T265 and D435i cameras
• [cs.RO]Energy-Efficiency Path Planning for Quadrotor UAV Under Wind Conditions
• [cs.RO]Exponentially Stable First Order Control on Matrix Lie Groups
• [cs.RO]Learning to Place Objects onto Flat Surfaces in Human-Preferred Orientations
• [cs.RO]Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth
• [cs.RO]Sim-to-Real Transfer for Optical Tactile Sensing
• [cs.RO]TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions
• [cs.SD]AM-MobileNet1D: A Portable Model for Speaker Recognition
• [cs.SD]Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
• [cs.SI]”Trust me, I have a Ph.D.”: A Propensity Score Analysis on the Halo Effect of Disclosing One’s Offline Social Status in Online Communities
• [cs.SI]Analysing the Extent of Misinformation in Cancer Related Tweets
• [cs.SI]Effects of Initial State on Opinion Formation in Complex Social Networks with Noises
• [cs.SI]Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond
• [cs.SI]Perception of emergent epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet
• [cs.SI]Resistance of communities against disinformation
• [cs.SI]Tracing Contacts to Control the COVID-19 Pandemic
• [eess.AS]Improved RawNet with Filter-wise Rescaling for Text-independent Speaker Verification using Raw Waveforms
• [eess.IV]Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
• [eess.IV]Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis
• [eess.IV]Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
• [eess.IV]Robust Image Reconstruction with Misaligned Structural Information
• [eess.SP]A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection
• [eess.SP]An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing
• [eess.SP]Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Wireless Collaborative-Computing
• [eess.SP]Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications
• [eess.SP]When Ramanujan meets time-frequency analysis in complicated time series analysis
• [math.OC]Stopping Criteria for, and Strong Convergence of, Stochastic Gradient Descent on Bottou-Curtis-Nocedal Functions
• [math.OC]Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem
• [math.ST]Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model
• [physics.geo-ph]Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach
• [physics.ins-det]Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector
• [physics.soc-ph]Historical Evolution of Global Inequality in Carbon Emissions and Footprints versus Redistributive Scenarios
• [physics.soc-ph]The Wigner’s Semicircle Law of Weighted Random Networks
• [q-bio.PE]Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution
• [q-bio.PE]Development of swarm behavior in artificial learning agents that adapt to different foraging environments
• [q-bio.QM]3D Deep Learning on Medical Images: A Review
• [stat.AP]An ARIMA model to forecast the spread of COVID-2019 epidemic in Italy
• [stat.AP]From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations
• [stat.AP]From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations
• [stat.ME]Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures
• [stat.ME]Globally intensity-reweighted estimators for $K$- and pair correlation functions
• [stat.ME]Moving-Resting Process with Measurement Error in Animal Movement Modeling
• [stat.ML]A generalised OMP algorithm for feature selection with application to gene expression data
• [stat.ML]Deep transformation models: Tackling complex regression problems with neural network based transformation models
• [stat.ML]Exact marginal inference in Latent Dirichlet Allocation
• [stat.ML]Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
• [stat.ML]Total Variation Regularization for Compartmental Epidemic Models with Time-varying Dynamics
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• [cs.AI]A New Challenge: Approaching Tetris Link with AI
Matthias Muller-Brockhausen, Mike Preuss, Aske Plaat
http://arxiv.org/abs/2004.00377v1
• [cs.AI]A hybrid optimization procedure for solving a tire curing scheduling problem
Joaquín Velázquez, Héctor Cancela, Pedro Piñeyro
http://arxiv.org/abs/2004.00425v1
• [cs.AI]Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
Jianyu Su, Stephen Adams, Peter A. Beling
http://arxiv.org/abs/2004.00470v1
• [cs.AI]Suphx: Mastering Mahjong with Deep Reinforcement Learning
Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon
http://arxiv.org/abs/2003.13590v2
• [cs.AI]Unification-based Reconstruction of Explanations for Science Questions
Marco Valentino, Mokanarangan Thayaparan, André Freitas
http://arxiv.org/abs/2004.00061v1
• [cs.CL]A Clustering Framework for Lexical Normalization of Roman Urdu
Abdul Rafae Khan, Asim Karim, Hassan Sajjad, Faisal Kamiran, Jia Xu
http://arxiv.org/abs/2004.00088v1
• [cs.CL]A Swiss German Dictionary: Variation in Speech and Writing
Larissa Schmidt, Lucy Linder, Sandra Djambazovska, Alexandros Lazaridis, Tanja Samardžić, Claudiu Musat
http://arxiv.org/abs/2004.00139v1
• [cs.CL]Adversarial Transfer Learning for Punctuation Restoration
Jiangyan Yi, Jianhua Tao, Ye Bai, Zhengkun Tian, Cunhang Fan
http://arxiv.org/abs/2004.00248v1
• [cs.CL]An Improved Classification Model for Igbo Text Using N-Gram And K-Nearest Neighbour Approaches
Nkechi Ifeanyi-Reuben, Chidiebere Ugwu
http://arxiv.org/abs/2004.00375v1
• [cs.CL]Appraisal Theories for Emotion Classification in Text
Jan Hofmann, Enrica Troiano, Kai Sassenberg, Roman Klinger
http://arxiv.org/abs/2003.14155v2
• [cs.CL]Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study
Michael Leventhal, Allahsera Tapo, Sarah Luger, Marcos Zampieri, Christopher M. Homan
http://arxiv.org/abs/2004.00068v1
• [cs.CL]Automatic Extraction of Bengali Root Verbs using Paninian Grammar
Arijit Das, Tapas Halder, Diganta Saha
http://arxiv.org/abs/2004.00089v1
• [cs.CL]Deep Learning Approach for Enhanced Cyber Threat Indicators in Twitter Stream
Simran K, Prathiksha Balakrishna, Vinayakumar R, Soman KP
http://arxiv.org/abs/2004.00503v1
• [cs.CL]Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security
Simran K, Sriram S, Vinayakumar R, Soman KP
http://arxiv.org/abs/2004.00502v1
• [cs.CL]Enriching Consumer Health Vocabulary Using Enhanced GloVe Word Embedding
Mohammed Ibrahim, Susan Gauch, Omar Salman, Mohammed Alqahatani
http://arxiv.org/abs/2004.00150v1
• [cs.CL]Give your Text Representation Models some Love: the Case for Basque
Rodrigo Agerri, Iñaki San Vicente, Jon Ander Campos, Ander Barrena, Xabier Saralegi, Aitor Soroa, Eneko Agirre
http://arxiv.org/abs/2004.00033v1
• [cs.CL]Multilingual Stance Detection: The Catalonia Independence Corpus
Elena Zotova, Rodrigo Agerri, Manuel Nuñez, German Rigau
http://arxiv.org/abs/2004.00050v1
• [cs.CL]Sign Language Translation with Transformers
Kayo Yin
http://arxiv.org/abs/2004.00588v1
• [cs.CR]Botnet Detection Using Recurrent Variational Autoencoder
Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu
http://arxiv.org/abs/2004.00234v1
• [cs.CR]On the privacy of a code-based single-server computational PIR scheme
Sarah Bordage, Julien Lavauzelle
http://arxiv.org/abs/2004.00509v1
• [cs.CV]Articulation-aware Canonical Surface Mapping
Nilesh Kulkarni, Abhinav Gupta, David F. Fouhey, Shubham Tulsiani
http://arxiv.org/abs/2004.00614v1
• [cs.CV]Boosting Deep Hyperspectral Image Classification with Spectral Unmixing
Alan J. X. Guo, Fei Zhu
http://arxiv.org/abs/2004.00583v1
• [cs.CV]Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds
Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai
http://arxiv.org/abs/2004.00186v1
• [cs.CV]Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation
Matteo Fabbri, Fabio Lanzi, Simone Calderara, Stefano Alletto, Rita Cucchiara
http://arxiv.org/abs/2004.00329v1
• [cs.CV]Conditional Channel Gated Networks for Task-Aware Continual Learning
Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi
http://arxiv.org/abs/2004.00070v1
• [cs.CV]DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu
http://arxiv.org/abs/2003.14247v2
• [cs.CV]Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, Yen-Yu Lin
http://arxiv.org/abs/2004.00144v1
• [cs.CV]Digit Recognition Using Convolution Neural Network
Kajol Gupta
http://arxiv.org/abs/2004.00331v1
• [cs.CV]EOLO: Embedded Object Segmentation only Look Once
Longfei Zeng, Mohammed Sabah
http://arxiv.org/abs/2004.00123v1
• [cs.CV]EPOS: Estimating 6D Pose of Objects with Symmetries
Tomas Hodan, Daniel Barath, Jiri Matas
http://arxiv.org/abs/2004.00605v1
• [cs.CV]Evading Deepfake-Image Detectors with White- and Black-Box Attacks
Nicholas Carlini, Hany Farid
http://arxiv.org/abs/2004.00622v1
• [cs.CV]Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage
Christoffer Bøgelund Rasmussen, Thomas B. Moeslund
http://arxiv.org/abs/2004.00292v1
• [cs.CV]Feature-Driven Super-Resolution for Object Detection
Bin Wang, Tao Lu, Yanduo Zhang
http://arxiv.org/abs/2004.00554v1
• [cs.CV]Future Video Synthesis with Object Motion Prediction
Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen
http://arxiv.org/abs/2004.00542v1
• [cs.CV]HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Bardia Doosti, Shujon Naha, Majid Mirbagheri, David Crandall
http://arxiv.org/abs/2004.00060v1
• [cs.CV]High-Performance Long-Term Tracking with Meta-Updater
Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang
http://arxiv.org/abs/2004.00305v1
• [cs.CV]Image Demoireing with Learnable Bandpass Filters
Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis
http://arxiv.org/abs/2004.00406v1
• [cs.CV]In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou
http://arxiv.org/abs/2004.00049v1
• [cs.CV]Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge
Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas
http://arxiv.org/abs/2004.00176v1
• [cs.CV]LGVTON: A Landmark Guided Approach to Virtual Try-On
Debapriya Roy, Sanchayan Santra, Bhabatosh Chanda
http://arxiv.org/abs/2004.00562v1
• [cs.CV]Learning Generative Models of Tissue Organization with Supervised GANs
Ligong Han, Robert F. Murphy, Deva Ramanan
http://arxiv.org/abs/2004.00140v1
• [cs.CV]Learning to Cluster Faces via Confidence and Connectivity Estimation
Lei Yang, Dapeng Chen, Xiaohang Zhan, Rui Zhao, Chen Change Loy, Dahua Lin
http://arxiv.org/abs/2004.00445v1
• [cs.CV]Learning to Select Base Classes for Few-shot Classification
Linjun Zhou, Peng Cui, Xu Jia, Shiqiang Yang, Qi Tian
http://arxiv.org/abs/2004.00315v1
• [cs.CV]M2m: Imbalanced Classification via Major-to-minor Translation
Jaehyung Kim, Jongheon Jeong, Jinwoo Shin
http://arxiv.org/abs/2004.00431v1
• [cs.CV]Medical-based Deep Curriculum Learning for Improved Fracture Classification
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff, Chlodwig Kirchhoff, Peter Biberthaler, Nassir Navab, Miguel A. González Ballester, Gemma Piella
http://arxiv.org/abs/2004.00482v1
• [cs.CV]More Grounded Image Captioning by Distilling Image-Text Matching Model
Yuanen Zhou, Meng Wang, Daqing Liu, Zhenzhen Hu, Hanwang Zhang
http://arxiv.org/abs/2004.00390v1
• [cs.CV]NBDT: Neural-Backed Decision Trees
Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Henry Jin, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez
http://arxiv.org/abs/2004.00221v1
• [cs.CV]PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, Hanbyul Joo
http://arxiv.org/abs/2004.00452v1
• [cs.CV]Physically Realizable Adversarial Examples for LiDAR Object Detection
James Tu, Mengye Ren, Siva Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun
http://arxiv.org/abs/2004.00543v1
• [cs.CV]Recognizing Characters in Art History Using Deep Learning
Prathmesh Madhu, Ronak Kosti, Lara Mührenberg, Peter Bell, Andreas Maier, Vincent Christlein
http://arxiv.org/abs/2003.14171v2
• [cs.CV]Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni
http://arxiv.org/abs/2004.00207v1
• [cs.CV]Revisiting Few-shot Activity Detection with Class Similarity Control
Huijuan Xu, Ximeng Sun, Eric Tzeng, Abir Das, Kate Saenko, Trevor Darrell
http://arxiv.org/abs/2004.00137v1
• [cs.CV]Semantic Drift Compensation for Class-Incremental Learning
Lu Yu, Bartłomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
http://arxiv.org/abs/2004.00440v1
• [cs.CV]Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network
Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang
http://arxiv.org/abs/2004.00191v1
• [cs.CV]Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Chiho Choi
http://arxiv.org/abs/2004.00202v1
• [cs.CV]Single Image Optical Flow Estimation with an Event Camera
Liyuan Pan, Miaomiao Liu, Richard Hartley
http://arxiv.org/abs/2004.00347v1
• [cs.CV]SoftSMPL: Data-driven Modeling of Nonlinear Soft-tissue Dynamics for Parametric Humans
Igor Santesteban, Elena Garces, Miguel A. Otaduy, Dan Casas
http://arxiv.org/abs/2004.00326v1
• [cs.CV]Spatio-Temporal Action Detection with Multi-Object Interaction
Huijuan Xu, Lizhi Yang, Stan Sclaroff, Kate Saenko, Trevor Darrell
http://arxiv.org/abs/2004.00180v1
• [cs.CV]Spatio-temporal Tubelet Feature Aggregation and Object Linking in Videos
Daniel Cores, Víctor M. Brea, Manuel Mucientes
http://arxiv.org/abs/2004.00451v1
• [cs.CV]StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zollhöfer, Christian Theobalt
http://arxiv.org/abs/2004.00121v1
• [cs.CV]Symmetry and Group in Attribute-Object Compositions
Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu
http://arxiv.org/abs/2004.00587v1
• [cs.CV]TITAN: Future Forecast using Action Priors
Srikanth Malla, Behzad Dariush, Chiho Choi
http://arxiv.org/abs/2003.13886v2
• [cs.CV]The Edge of Depth: Explicit Constraints between Segmentation and Depth
Shengjie Zhu, Garrick Brazil, Xiaoming Liu
http://arxiv.org/abs/2004.00171v1
• [cs.CV]Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes
Sravanti Addepalli, Vivek B. S., Arya Baburaj, Gaurang Sriramanan, R. Venkatesh Babu
http://arxiv.org/abs/2004.00306v1
• [cs.CV]Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation
Victor Schmidt, Makesh Narsimhan Sreedhar, Mostafa ElAraby, Irina Rish
http://arxiv.org/abs/2004.00161v1
• [cs.CV]TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
Zhuoqian Yang, Wentao Zhu, Wayne Wu, Chen Qian, Qiang Zhou, Bolei Zhou, Chen Change Loy
http://arxiv.org/abs/2003.14401v2
• [cs.CV]Transfer Learning of Photometric Phenotypes in Agriculture Using Metadata
Dan Halbersberg, Aharon Bar Hillel, Shon Mendelson, Daniel Koster, Lena Karol, Boaz Lerner
http://arxiv.org/abs/2004.00303v1
• [cs.CV]Two-shot Spatially-varying BRDF and Shape Estimation
Mark Boss, Varun Jampani, Kihwan Kim, Hendrik P. A. Lensch, Jan Kautz
http://arxiv.org/abs/2004.00403v1
• [cs.CY]Anonymous Collocation Discovery:Taming the Coronavirus While Preserving Privacy
Ran Canetti, Ari Trachtenberg, Mayank Varia
http://arxiv.org/abs/2003.13670v3
• [cs.CY]Beyond privacy regulations: an ethical approach to data usage in transportation
Johannes M. van Hulst, Mattia Zeni, Alexander Kröller, Cassandra Moons, Pierluigi Casale
http://arxiv.org/abs/2004.00491v1
• [cs.CY]Improvement of electronic Governance and mobile Governance in Multilingual Countries with Digital Etymology using Sanskrit Grammar
Arijit Das, Diganta Saha
http://arxiv.org/abs/2004.00104v1
• [cs.CY]You can do RLAs for IRV
Michelle Blom, Andrew Conway, Dan King, Laurent Sandrolini, Philip B. Stark, Peter J. Stuckey, Vanessa Teague
http://arxiv.org/abs/2004.00235v1
• [cs.DB]Deep Entity Matching with Pre-Trained Language Models
Yuliang Li, Jinfeng Li, Yoshihiko Suhara, AnHai Doan, Wang-Chiew Tan
http://arxiv.org/abs/2004.00584v1
• [cs.DC]Pacloud: Towards a Universal Cloud-based Linux Package Manager
Olivier Bal-Pétré, Pierre Varlez, Fernando Perez-Tellez
http://arxiv.org/abs/2004.00138v1
• [cs.DC]Scheduling Parallel-Task Jobs Subject to Packing and Placement Constraints
Mehrnoosh Shafiee, Javad Ghaderi
http://arxiv.org/abs/2004.00518v1
• [cs.DC]Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James Ahrens
http://arxiv.org/abs/2004.00224v1
• [cs.DS]The Discrete Gaussian for Differential Privacy
Clément Canonne, Gautam Kamath, Thomas Steinke
http://arxiv.org/abs/2004.00010v1
• [cs.GT]No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
http://arxiv.org/abs/2004.00603v1
• [cs.HC]A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving
Ruikun Luo, Yifan Weng, Yifan Wang, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang
http://arxiv.org/abs/2004.00167v1
• [cs.HC]Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis
Liliana Ardissono, Matteo Delsanto, Maurizio Lucenteforte, Noemi Mauro, Adriano Savoca, Daniele Scanu
http://arxiv.org/abs/2004.00267v1
• [cs.IR]Deep Learning on Knowledge Graph for Recommender System: A Survey
Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan
http://arxiv.org/abs/2004.00387v1
• [cs.IR]Impact of Semantic Granularity on Geographic Information Search Support
Noemi Mauro, Liliana Ardissono, Laura Di Rocco, Michela Bertolotto, Giovanna Guerrini
http://arxiv.org/abs/2004.00293v1
• [cs.IR]Interpretable Deep Learning Model for Online Multi-touch Attribution
Dongdong Yang, Kevin Dyer, Senzhang Wang
http://arxiv.org/abs/2004.00384v1
• [cs.IR]Recommandation ontologique multicritère pour la métrologie
Axel Mascaro, Christophe Rey
http://arxiv.org/abs/2004.00291v1
• [cs.IR]Seeing The Whole Patient: Using Multi-Label Medical Text Classification Techniques to Enhance Predictions of Medical Codes
Vithya Yogarajan, Jacob Montiel, Tony Smith, Bernhard Pfahringer
http://arxiv.org/abs/2004.00430v1
• [cs.IR]Task-adaptive Asymmetric Deep Cross-modal Hashing
Tong Wang, Lei Zhu, Zhiyong Cheng, Jingjing Li, Huaxiang Zhang
http://arxiv.org/abs/2004.00197v1
• [cs.IT]A note on Onicescu’s informational energy and correlation coefficient in exponential families
Frank Nielsen
http://arxiv.org/abs/2003.13199v2
• [cs.IT]Distributed Precoding Design via Over-the-Air Signaling for Cell-Free Massive MIMO
Italo Atzeni, Bikshapathi Gouda, Antti Tölli
http://arxiv.org/abs/2004.00299v1
• [cs.IT]Intelligent Reflecting Surface-Aided Joint Processing Coordinated Multipoint Transmission
Meng Hua, Qingqing Wu, Derrick Wing Kwan Ng, Jun Zhao, Luxi Yang
http://arxiv.org/abs/2003.13909v2
• [cs.IT]On Age and Value of Information in Status Update Systems
Peng Zou, Omur Ozel, Suresh Subramaniam
http://arxiv.org/abs/2003.14069v1
• [cs.IT]Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness
Jinke Ren, Yinghui He, Dingzhu Wen, Guanding Yu, Kaibin Huang, Dongning Guo
http://arxiv.org/abs/2004.00490v1
• [cs.LG]A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction
Rodrigo de Medrano, José L. Aznarte
http://arxiv.org/abs/2003.13977v2
• [cs.LG]A theory of independent mechanisms for extrapolation in generative models
Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf
http://arxiv.org/abs/2004.00184v1
• [cs.LG]Adversarial Attacks on Multivariate Time Series
Samuel Harford, Fazle Karim, Houshang Darabi
http://arxiv.org/abs/2004.00410v1
• [cs.LG]Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
Mohammad Braei, Sebastian Wagner
http://arxiv.org/abs/2004.00433v1
• [cs.LG]Assisted Learning and Imitation Privacy
Xun Xian, Xinran Wang, Jie Ding, Reza Ghanadan
http://arxiv.org/abs/2004.00566v1
• [cs.LG]Depth Selection for Deep ReLU Nets in Feature Extraction and Generalization
Zhi Han, Siquan Yu, Shao-Bo Lin, Ding-Xuan Zhou
http://arxiv.org/abs/2004.00245v1
• [cs.LG]Differential Privacy for Sequential Algorithms
Yu Wang, Hussein Sibai, Sayan Mitra, Geir E. Dullerud
http://arxiv.org/abs/2004.00275v1
• [cs.LG]Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results
Reda Marzouk, Colin de la Higuera
http://arxiv.org/abs/2004.00478v1
• [cs.LG]Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
Heeyoung Kwak, Minwoo Lee, Seunghyun Yoon, Jooyoung Chang, Sangmin Park, Kyomin Jung
http://arxiv.org/abs/2004.00407v1
• [cs.LG]Editable Neural Networks
Anton Sinitsin, Vsevolod Plokhotnyuk, Vsevolod Plokhotnyuk, Sergei Popov, Artem Babenko
http://arxiv.org/abs/2004.00345v1
• [cs.LG]Exploration in Action Space
Anirudh Vemula, Wen Sun, J. Andrew Bagnell
http://arxiv.org/abs/2004.00500v1
• [cs.LG]Extreme Multi-label Classification from Aggregated Labels
Yanyao Shen, Hsiang-fu Yu, Sujay Sanghavi, Inderjit Dhillon
http://arxiv.org/abs/2004.00198v1
• [cs.LG]From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction
Henning Lange, Steven L. Brunton, Nathan Kutz
http://arxiv.org/abs/2004.00574v1
• [cs.LG]Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early Stopping
Jinshan Zeng, Min Zhang, Shao-Bo Lin
http://arxiv.org/abs/2004.00179v1
• [cs.LG]Generation of Paths in a Maze using a Deep Network without Learning
Tomas Kulvicius, Sebastian Herzog, Minija Tamosiunaite, Florentin Wörgötter
http://arxiv.org/abs/2004.00540v1
• [cs.LG]Gossip and Attend: Context-Sensitive Graph Representation Learning
Zekarias T. Kefato, Sarunas Girdzijauskas
http://arxiv.org/abs/2004.00413v1
• [cs.LG]Handling Concept Drifts in Regression Problems — the Error Intersection Approach
Lucas Baier, Marcel Hofmann, Niklas Kühl, Marisa Mohr, Gerhard Satzger
http://arxiv.org/abs/2004.00438v1
• [cs.LG]Information Leakage in Embedding Models
Congzheng Song, Ananth Raghunathan
http://arxiv.org/abs/2004.00053v1
• [cs.LG]Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations
Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou
http://arxiv.org/abs/2004.00530v1
• [cs.LG]MetaPoison: Practical General-purpose Clean-label Data Poisoning
W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein
http://arxiv.org/abs/2004.00225v1
• [cs.LG]Multi-label learning for dynamic model type recommendation
Mariana A. Souza, Robert Sabourin, George D. C. Cavalcanti, Rafael M. O. Cruz
http://arxiv.org/abs/2004.00558v1
• [cs.LG]NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay
Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi
http://arxiv.org/abs/2004.00201v1
• [cs.LG]Neural Communication Systems with Bandwidth-limited Channel
Karen Ullrich, Fabio Viola, Danilo Jimenez Rezende
http://arxiv.org/abs/2003.13367v2
• [cs.LG]Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
Marco Pleines, Jenia Jitsev, Mike Preuss, Frank Zimmer
http://arxiv.org/abs/2004.00567v1
• [cs.LG]One-shot path planning for multi-agent systems using fully convolutional neural network
Tomas Kulvicius, Sebastian Herzog, Timo Lüddecke, Minija Tamosiunaite, Florentin Wörgötter
http://arxiv.org/abs/2004.00568v1
• [cs.LG]Ontology-based Interpretable Machine Learning for Textual Data
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
http://arxiv.org/abs/2004.00204v1
• [cs.LG]Optimal Bidding Strategy without Exploration in Real-time Bidding
Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Viswanathan Swaminathan
http://arxiv.org/abs/2004.00100v1
• [cs.LG]SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models
Yucen Luo, Alex Beatson, Mohammad Norouzi, Jun Zhu, David Duvenaud, Ryan P. Adams, Ricky T. Q. Chen
http://arxiv.org/abs/2004.00353v1
• [cs.LG]Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jin-Woo Seo, Hong-Gyu Jung, Seong-Whan Lee
http://arxiv.org/abs/2004.00251v1
• [cs.LG]Statistical Queries and Statistical Algorithms: Foundations and Applications
Lev Reyzin
http://arxiv.org/abs/2004.00557v1
• [cs.LG]Statistically Model Checking PCTL Specifications on Markov Decision Processes via Reinforcement Learning
Yu Wang, Nima Roohi, Matthew West, Mahesh Viswanathan, Geir E. Dullerud
http://arxiv.org/abs/2004.00273v1
• [cs.LG]Tightened Convex Relaxations for Neural Network Robustness Certification
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
http://arxiv.org/abs/2004.00570v1
• [cs.LG]Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems
Weiheng Jiang, Xiaogang Wu, Bolin Chen, Wenjiang Feng, Yi Jin
http://arxiv.org/abs/2004.00378v1
• [cs.LG]Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu
http://arxiv.org/abs/2004.00163v1
• [cs.LG]Work in Progress: Temporally Extended Auxiliary Tasks
Craig Sherstan, Bilal Kartal, Pablo Hernandez-Leal, Matthew E. Taylor
http://arxiv.org/abs/2004.00600v1
• [cs.MA]Automated Configuration of Negotiation Strategies
Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker
http://arxiv.org/abs/2004.00094v1
• [cs.NE]Distributed Embodied Evolution in Networks of Agents
Anil Yaman, Giovanni Iacca
http://arxiv.org/abs/2003.12848v2
• [cs.NE]Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
http://arxiv.org/abs/2004.00307v1
• [cs.NE]Incremental Evolution and Development of Deep Artificial Neural Networks
Filipe Assunção, Nuno Lourenço, Bernardete Ribeiro, Penousal Machado
http://arxiv.org/abs/2004.00302v1
• [cs.NE]Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks
Jacob Schrum, Jake Gutierrez, Vanessa Volz, Jialin Liu, Simon Lucas, Sebastian Risi
http://arxiv.org/abs/2004.00151v1
• [cs.NE]Particle Swarm Optimization: Stability Analysis using N-Informers under Arbitrary Coefficient Distributions
Christopher W Cleghorn, Belinda Stapelberg
http://arxiv.org/abs/2004.00476v1
• [cs.NE]Self-adaptation in non-Elitist Evolutionary Algorithms on Discrete Problems with Unknown Structure
Brendan Case, Per Kristian Lehre
http://arxiv.org/abs/2004.00327v1
• [cs.PL]OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints
Irene Vlassi Pandi, Earl T. Barr, Andrew D. Gordon, Charles Sutton
http://arxiv.org/abs/2004.00348v1
• [cs.PL]Streaming Temporal Graphs: Subgraph Matching
Eric L. Goodman, Dirk Grunwald
http://arxiv.org/abs/2004.00215v1
• [cs.RO]APPLD: Adaptive Planner Parameter Learning from Demonstration
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
http://arxiv.org/abs/2004.00116v1
• [cs.RO]Coupling of localization and depth data for mapping using Intel RealSense T265 and D435i cameras
Evgeny Tsykunov, Valery Ilin, Stepan Perminov, Aleksey Fedoseev, Elvira Zainulina
http://arxiv.org/abs/2004.00269v1
• [cs.RO]Energy-Efficiency Path Planning for Quadrotor UAV Under Wind Conditions
Fouad Yacef, Nassim Rizoug, Laid Degaa
http://arxiv.org/abs/2004.00182v1
• [cs.RO]Exponentially Stable First Order Control on Matrix Lie Groups
Valmik Prabhu, Amay Saxena, S. Shankar Sastry
http://arxiv.org/abs/2004.00239v1
• [cs.RO]Learning to Place Objects onto Flat Surfaces in Human-Preferred Orientations
Rhys Newbury, Kerry He, Akansel Cosgun, Tom Drummond
http://arxiv.org/abs/2004.00249v1
• [cs.RO]Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth
Shuangyue Yu, Tzu-Hao Huang, Xiaolong Yang, Chunhai Jiao, Jianfu Yang, Hang Hu, Sainan Zhang, Yue Chen, Jingang Yi, Hao Su
http://arxiv.org/abs/2004.00467v1
• [cs.RO]Sim-to-Real Transfer for Optical Tactile Sensing
Zihan Ding, Nathan F. Lepora, Edward Johns
http://arxiv.org/abs/2004.00136v1
• [cs.RO]TRON: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions
Anirudh Vemula, J. Andrew Bagnell
http://arxiv.org/abs/2003.14393v2
• [cs.SD]AM-MobileNet1D: A Portable Model for Speaker Recognition
João Antônio Chagas Nunes, David Macêdo, Cleber Zanchettin
http://arxiv.org/abs/2004.00132v1
• [cs.SD]Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset
Lee Callender, Curtis Hawthorne, Jesse Engel
http://arxiv.org/abs/2004.00188v1
• [cs.SI]“Trust me, I have a Ph.D.”: A Propensity Score Analysis on the Halo Effect of Disclosing One’s Offline Social Status in Online Communities
Kunwoo Park, Haewoon Kwak, Hyunho Song, Meeyoung Cha
http://arxiv.org/abs/2004.00105v1
• [cs.SI]Analysing the Extent of Misinformation in Cancer Related Tweets
Rakesh Bal, Sayan Sinha, Swastika Dutta, Risabh Joshi, Sayan Ghosh, Ritam Dutt
http://arxiv.org/abs/2003.13657v2
• [cs.SI]Effects of Initial State on Opinion Formation in Complex Social Networks with Noises
Yi Yu, Vu X. Nguyen, Gaoxi Xiao
http://arxiv.org/abs/2004.00319v1
• [cs.SI]Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond
Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
http://arxiv.org/abs/2004.00216v1
• [cs.SI]Perception of emergent epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet
Andrzej Jarynowski, Monika Wojta-Kempa, Vitaly Belik
http://arxiv.org/abs/2004.00005v1
• [cs.SI]Resistance of communities against disinformation
Amirarsalan Rajabi, Seyyedmilad Talebzadehhosseini, Ivan Garibay
http://arxiv.org/abs/2004.00379v1
• [cs.SI]Tracing Contacts to Control the COVID-19 Pandemic
Christoph Günther, Michael Günther, Daniel Günther
http://arxiv.org/abs/2004.00517v1
• [eess.AS]Improved RawNet with Filter-wise Rescaling for Text-independent Speaker Verification using Raw Waveforms
Jee-weon Jung, Seung-bin Kim, Hye-jin Shim, Ju-ho Kim, Ha-Jin Yu
http://arxiv.org/abs/2004.00526v1
• [eess.IV]Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation
Karthik Gopinath, Christian Desrosiers, Herve Lombaert
http://arxiv.org/abs/2004.00074v1
• [eess.IV]Manifold-Aware CycleGAN for High Resolution Structural-to-DTI Synthesis
Benoit Anctil-Robitaille, Christian Desrosiers, Herve Lombaert
http://arxiv.org/abs/2004.00173v1
• [eess.IV]Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn
http://arxiv.org/abs/2004.00448v1
• [eess.IV]Robust Image Reconstruction with Misaligned Structural Information
Leon Bungert, Matthias J. Ehrhardt
http://arxiv.org/abs/2004.00589v1
• [eess.SP]A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection
Songyan Xue, Yi Ma, Na Yi, Terence E. Dodgson
http://arxiv.org/abs/2004.00404v1
• [eess.SP]An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing
Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini
http://arxiv.org/abs/2004.00077v1
• [eess.SP]Leveraging User-Diversity in Energy-Efficient Edge-Facilitated Wireless Collaborative-Computing
Antoine Paris, Hamed Mirghasemi, Ivan Stupia, Luc Vandendorpe
http://arxiv.org/abs/2004.00113v1
• [eess.SP]Optimised Convolutional Neural Networks for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applications
Eoin Brophy, Willie Muehlhausen, Alan F. Smeaton, Tomas E. Ward
http://arxiv.org/abs/2004.00505v1
• [eess.SP]When Ramanujan meets time-frequency analysis in complicated time series analysis
Ziyu Chen, Hau-Tieng Wu
http://arxiv.org/abs/2004.00076v1
• [math.OC]Stopping Criteria for, and Strong Convergence of, Stochastic Gradient Descent on Bottou-Curtis-Nocedal Functions
Vivak Patel
http://arxiv.org/abs/2004.00475v1
• [math.OC]Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem
Jia-Jie Zhu, Wittawat Jitkrittum, Moritz Diehl, Bernhard Schölkopf
http://arxiv.org/abs/2004.00166v1
• [math.ST]Likelihood landscape and maximum likelihood estimation for the discrete orbit recovery model
Zhou Fan, Yi Sun, Tianhao Wang, Yihong Wu
http://arxiv.org/abs/2004.00041v1
• [physics.geo-ph]Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach
Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann
http://arxiv.org/abs/2004.00227v1
• [physics.ins-det]Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector
R. W. Gladen, V. A. Chirayath, A. J. Fairchild, M. T. Manry, A. R. Koymen, A. H. Weiss
http://arxiv.org/abs/2004.00008v1
• [physics.soc-ph]Historical Evolution of Global Inequality in Carbon Emissions and Footprints versus Redistributive Scenarios
Gregor Semieniuk, Victor M. Yakovenko
http://arxiv.org/abs/2004.00111v1
• [physics.soc-ph]The Wigner’s Semicircle Law of Weighted Random Networks
Yusuke Sakumoto, Masaki Aida
http://arxiv.org/abs/2004.00125v1
• [q-bio.PE]Coronavirus Covid-19 spreading in Italy: optimizing an epidemiological model with dynamic social distancing through Differential Evolution
I. De Falco, A. Della Cioppa, U. Scafuri, E. Tarantino
http://arxiv.org/abs/2004.00553v1
• [q-bio.PE]Development of swarm behavior in artificial learning agents that adapt to different foraging environments
Andrea López-Incera, Katja Ried, Thomas Müller, Hans J. Briegel
http://arxiv.org/abs/2004.00552v1
• [q-bio.QM]3D Deep Learning on Medical Images: A Review
Satya P. Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan, Balázs Gulyás
http://arxiv.org/abs/2004.00218v1
• [stat.AP]An ARIMA model to forecast the spread of COVID-2019 epidemic in Italy
Gaetano Perone
http://arxiv.org/abs/2004.00382v1
• [stat.AP]From scenario-based seismic hazard to scenario-based landslide hazard: fast-forwarding to the future via statistical simulations
Luigi Lombardo, Hakan Tanyas
http://arxiv.org/abs/2004.00537v1
• [stat.AP]From scenario-based seismic hazard to scenario-based landslide hazard: rewinding to the past via statistical simulations
Luguang Luo, Luigi Lombardo, Cees van Westen, Xiangjun Pei, Runqiu Huang
http://arxiv.org/abs/2004.00539v1
• [stat.ME]Bayesian space-time gap filling for inference on extreme hot-spots: an application to Red Sea surface temperatures
Daniela Castro-Camilo, Linda Mhalla, Thomas Opitz
http://arxiv.org/abs/2004.00386v1
• [stat.ME]Globally intensity-reweighted estimators for $K$- and pair correlation functions
Thomas Shaw, Jesper Møller, Rasmus Waagepetersen
http://arxiv.org/abs/2004.00527v1
• [stat.ME]Moving-Resting Process with Measurement Error in Animal Movement Modeling
Chaoran Hu, Vladimir Pozdnyakov, Jun Yan
http://arxiv.org/abs/2004.00160v1
• [stat.ML]A generalised OMP algorithm for feature selection with application to gene expression data
Michail Tsagris, Zacharias Papadovasilakis, Kleanthi Lakiotaki, Ioannis Tsamardinos
http://arxiv.org/abs/2004.00281v1
• [stat.ML]Deep transformation models: Tackling complex regression problems with neural network based transformation models
Beate Sick, Torsten Hothorn, Oliver Dürr
http://arxiv.org/abs/2004.00464v1
• [stat.ML]Exact marginal inference in Latent Dirichlet Allocation
Hartmut Maennel
http://arxiv.org/abs/2004.00115v1
• [stat.ML]Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato
http://arxiv.org/abs/2004.00601v1
• [stat.ML]Total Variation Regularization for Compartmental Epidemic Models with Time-varying Dynamics
Wenjie Zheng
http://arxiv.org/abs/2004.00412v1
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