astro-ph.IM - 仪器仪表和天体物理学方法

    cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.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 q-bio.BM - 生物分子 q-bio.GN - 基因组学 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Deep reinforcement learning for smart calibration of radio telescopes
    • [cs.AI]”I Don’t Think So”: Disagreement-Based Policy Summaries for Comparing Agents
    • [cs.AI]Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
    • [cs.AI]Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning
    • [cs.AI]Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
    • [cs.AI]Understanding Emails and Drafting Responses — An Approach Using GPT-3
    • [cs.AI]Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems
    • [cs.CL]Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries
    • [cs.CL]Generalized Zero-shot Intent Detection via Commonsense Knowledge
    • [cs.CL]GraphPlan: Story Generation by Planning with Event Graph
    • [cs.CL]Model Agnostic Answer Reranking System for Adversarial Question Answering
    • [cs.CL]RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER
    • [cs.CL]Spell Correction for Azerbaijani Language using Deep Neural Networks
    • [cs.CL]Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge
    • [cs.CL]Understanding Pre-Editing for Black-Box Neural Machine Translation
    • [cs.CR]PredCoin: Defense against Query-based Hard-label Attack
    • [cs.CR]Randomized Controlled Trials with Minimal Data Retention
    • [cs.CR]The Discrepancy Attack on Polyshard-ed Blockchains
    • [cs.CV]A Deep Learning Approach Based on Graphs to Detect Plantation Lines
    • [cs.CV]Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
    • [cs.CV]Applications of Machine Learning in Document Digitisation
    • [cs.CV]Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery
    • [cs.CV]CharacterGAN: Few-Shot Keypoint Character Animation and Reposing
    • [cs.CV]Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling
    • [cs.CV]Deep Texture-Aware Features for Camouflaged Object Detection
    • [cs.CV]DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks
    • [cs.CV]Fusion of neural networks, for LIDAR-based evidential road mapping
    • [cs.CV]GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
    • [cs.CV]GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
    • [cs.CV]Hyperspherical embedding for novel class classification
    • [cs.CV]Improving state estimation through projection post-processing for activity recognition in football
    • [cs.CV]Instance and Panoptic Segmentation Using Conditional Convolutions
    • [cs.CV]Metaknowledge Extraction Based on Multi-Modal Documents
    • [cs.CV]Metric Embedding Sub-discrimination Study
    • [cs.CV]Multispectral Object Detection with Deep Learning
    • [cs.CV]Real-World Super-Resolution of Face-Images from Surveillance Cameras
    • [cs.CV]Sampling Based Scene-Space Video Processing
    • [cs.CV]Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
    • [cs.CV]Transductive Zero-Shot Learning by Decoupled Feature Generation
    • [cs.CV]Unsupervised Novel View Synthesis from a Single Image
    • [cs.CV]Zero-shot Learning with Deep Neural Networks for Object Recognition
    • [cs.CY]BlockNet Report: Curriculum Guidance Document
    • [cs.CY]Challenges in biomarker discovery and biorepository for Gulf-war-disease studies: a novel data platform solution
    • [cs.CY]Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
    • [cs.DC]A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
    • [cs.DC]Committee selection in DAG distributed ledgers and applications
    • [cs.DC]Connecting flying backhauls of UAVs to enhance vehicular networks with fixed 5G NR infrastructure
    • [cs.DC]Disaggregated Memory at the Edge
    • [cs.DC]HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data
    • [cs.DL]A fast and integrative algorithm for clustering performance evaluation in author name disambiguation
    • [cs.DL]Effect of forename string on author name disambiguation
    • [cs.DL]Generating automatically labeled data for author name disambiguation: An iterative clustering method
    • [cs.DL]ORCID-linked labeled data for evaluating author name disambiguation at scale
    • [cs.DS]Online Bin Packing with Predictions
    • [cs.GT]Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets
    • [cs.IR]Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images
    • [cs.IR]Diversification in Session-based News Recommender Systems
    • [cs.IR]Dual-embedding based Neural Collaborative Filtering for Recommender Systems
    • [cs.IR]Graph Attention Collaborative Similarity Embedding for Recommender System
    • [cs.IR]Leveraging Review Properties for Effective Recommendation
    • [cs.IR]Towards a Flexible System Architecture for Automated Knowledge Base Construction Frameworks
    • [cs.IT]Bounds on List Decoding of Linearized Reed-Solomon Codes
    • [cs.IT]Deep Reinforcement Learning for Energy-Efficient Beamforming Design in Cell-Free Networks
    • [cs.IT]Function-Correcting Codes
    • [cs.IT]Globally Optimal Beamforming for Rate Splitting Multiple Access
    • [cs.IT]Hierarchical Resource Allocation: Balancing Throughput and Energy Efficiency in Wireless Systems
    • [cs.IT]Minimizing the Age of Incorrect Information for Real-time Tracking of Markov Remote Sources
    • [cs.IT]Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation
    • [cs.IT]Optimizing RRH Placement Under a Noise-Limited Point-to-Point Wireless Backhaul
    • [cs.IT]Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning
    • [cs.IT]Reconfigurable Intelligent Surface Assisted Edge Machine Learning
    • [cs.IT]Resource Allocation and Scheduling in Non-coherent User-centric Cell-free MIMO
    • [cs.IT]Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications
    • [cs.LG]1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
    • [cs.LG]A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration
    • [cs.LG]A Variational Information Bottleneck Approach to Multi-Omics Data Integration
    • [cs.LG]A simpler spectral approach for clustering in directed networks
    • [cs.LG]Active Slices for Sliced Stein Discrepancy
    • [cs.LG]Alchemy: A structured task distribution for meta-reinforcement learning
    • [cs.LG]Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
    • [cs.LG]Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alter
    b43
    native Herbal Medicine Discrimination with Electronic Nose
    • [cs.LG]CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
    • [cs.LG]Categorical data as a stone guest in a data science project for predicting defective water meters
    • [cs.LG]Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
    • [cs.LG]DEAL: Decremental Energy-Aware Learning in a Federated System
    • [cs.LG]Deceptive Reinforcement Learning for Privacy-Preserving Planning
    • [cs.LG]DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning
    • [cs.LG]Equivariant message passing for the prediction of tensorial properties and molecular spectra
    • [cs.LG]Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals
    • [cs.LG]Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer
    • [cs.LG]Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
    • [cs.LG]Fast and Memory Efficient Differentially Private-SGD via JL Projections
    • [cs.LG]Feedback in Imitation Learning: Confusion on Causality and Covariate Shift
    • [cs.LG]Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency
    • [cs.LG]GIBBON: General-purpose Information-Based Bayesian OptimisatioN
    • [cs.LG]Graph Joint Attention Networks
    • [cs.LG]Hyperparameter Optimization Is Deceiving Us, and How to Stop It
    • [cs.LG]In-Loop Meta-Learning with Gradient-Alignment Reward
    • [cs.LG]Integer Programming for Causal Structure Learning in the Presence of Latent Variables
    • [cs.LG]Interpretable Neural Networks based classifiers for categorical inputs
    • [cs.LG]Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence
    • [cs.LG]Last iterate convergence of SGD for Least-Squares in the Interpolation regime
    • [cs.LG]Learning High DimensionalWasserstein Geodesics
    • [cs.LG]Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review
    • [cs.LG]Matrix Decomposition on Graphs: A Functional View
    • [cs.LG]Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization
    • [cs.LG]NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data
    • [cs.LG]On The Connection of Benford’s Law and Neural Networks
    • [cs.LG]On the Reproducibility of Neural Network Predictions
    • [cs.LG]On the Sample Complexity of Causal Discovery and the Value of Domain Expertise
    • [cs.LG]Optimal Transport as a Defense Against Adversarial Attacks
    • [cs.LG]PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers
    • [cs.LG]Progressive Neural Image Compression with Nested Quantization and Latent Ordering
    • [cs.LG]Provably Efficient Algorithms for Multi-Objective Competitive RL
    • [cs.LG]Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
    • [cs.LG]Removing biased data to improve fairness and accuracy
    • [cs.LG]Revisiting Prioritized Experience Replay: A Value Perspective
    • [cs.LG]baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
    • [cs.NE]Sparse Reward Exploration via Novelty Search and Emitters
    • [cs.RO]A Collaborative Visual SLAM Framework for Service Robots
    • [cs.RO]An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios
    • [cs.RO]BAXTER: Bi-modal Aerial-Terrestrial Hybrid Vehicle for Long-endurance Versatile Mobility: Preprint Version
    • [cs.RO]Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning
    • [cs.RO]How to Train Your Robot with Deep Reinforcement Learning; Lessons We’ve Learned
    • [cs.RO]Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots
    • [cs.RO]Maintaining driver attentiveness in shared-control autonomous driving
    • [cs.RO]Pedestrian Simulation: A Review
    • [cs.RO]Securing emergent behaviour in swarm robotics
    • [cs.RO]Towards integrated tactile sensorimotor control in anthropomorphic soft robotic hands
    • [cs.SD]Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1
    • [cs.SD]Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
    • [cs.SD]Diversity-Robust Acoustic Feature Signatures Based on Multiscale Fractal Dimension for Similarity Search of Environmental Sounds
    • [cs.SD]Multi-Task Self-Supervised Pre-Training for Music Classification
    • [cs.SD]Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
    • [cs.SD]Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR
    • [cs.SD]White-box Audio VST Effect Programming
    • [cs.SI]Another estimation of Laplacian spectrum of the Kronecker product of graphs
    • [cs.SI]Formational bounds of link prediction in collaboration networks
    • [cs.SI]How Information Diffuse in a Nomination Network
    • [cs.SI]Over-time measurement of triadic closure in coauthorship networks
    • [cs.SI]Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery
    • [eess.AS]Intermediate Loss Regularization for CTC-based Speech Recognition
    • [eess.IV]3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
    • [eess.IV]Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering
    • [eess.SP]Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network
    • [eess.SP]LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
    • [math.OC]Obstacle Avoidance via Hybrid Feedback
    • [math.ST]A new robust approach for multinomial logistic regression with complex design model
    • [math.ST]Inference and model selection in general causal time series with exogenous covariates
    • [math.ST]On the estimating equations and objective functions for parameters of exponential power distribution: Application for disorder
    • [q-bio.BM]Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis
    • [q-bio.GN]Measuring Utility and Privacy of Synthetic Genomic Data
    • [quant-ph]Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers
    • [quant-ph]Effects of quantum resources on the statistical complexity of quantum circuits
    • [stat.AP]An Interaction Neyman-Scott Point Process Model for Coronavirus Disease-19
    • [stat.AP]Spatial Functional Data Modeling of Plant Reflectances
    • [stat.CO]ROBustness In Network (robin): an R package for Comparison and Validation of communities
    • [stat.ME]Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study
    • [stat.ME]Hierarchical Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping
    • [stat.ME]Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach
    • [stat.ME]Tilted Nonparametric Regression Function Estimation
    • [stat.ME]Vine copula mixture models and clustering for non-Gaussian data
    • [stat.ML]Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression
    • [stat.ML]Learning While Dissipating Information: Understanding the Generalization Capability of SGLD
    • [stat.ML]Sparse Normal Means Estimation with Sublinear Communication
    • [stat.ML]The Fourier Loss Function
    • [stat.ML]ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision

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    • [astro-ph.IM]Deep reinforcement learning for smart calibration of radio telescopes
    Sarod Yatawatta, Ian M. Avruch
    http://arxiv.org/abs/2102.03200v1

    • [cs.AI]“I Don’t Think So”: Disagreement-Based Policy Summaries for Comparing Agents
    Yotam Amitai, Ofra Amir
    http://arxiv.org/abs/2102.03064v1

    • [cs.AI]Addressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning
    Julian Bernhard, Stefan Pollok, Alois Knoll
    http://arxiv.org/abs/2102.03119v1

    • [cs.AI]Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep Learning
    Vincent M. D’Anniballe, Fakrul I. Tushar, Khrystyna Faryna, Songyue Han, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo
    http://arxiv.org/abs/2102.02959v1

    • [cs.AI]Risk-Constrained Interactive Safety under Behavior Uncertainty for Autonomous Driving
    Julian Bernhard, Alois Knoll
    http://arxiv.org/abs/2102.03053v1

    • [cs.AI]Understanding Emails and Drafting Responses — An Approach Using GPT-3
    Jonas Thiergart, Stefan Huber, Thomas Übellacker
    http://arxiv.org/abs/2102.03062v1

    • [cs.AI]Zero Training Overhead Portfolios for Learning to Solve Combinatorial Problems
    Yiwei Bai, Wenting Zhao, Carla P. Gomes
    http://arxiv.org/abs/2102.03002v1

    • [cs.CL]Building Representative Corpora from Illiterate Communities: A Review of Challenges and Mitigation Strategies for Developing Countries
    Stephanie Hirmer, Alycia Leonard, Josephine Tumwesige, Costanza Conforti
    http://arxiv.org/abs/2102.02841v1

    • [cs.CL]Generalized Zero-shot Intent Detection via Commonsense Knowledge
    A. B. Siddique, Fuad Jamour, Luxun Xu, Vagelis Hristidis
    http://arxiv.org/abs/2102.02925v1

    • [cs.CL]GraphPlan: Story Generation by Planning with Event Graph
    Hong Chen, Raphael Shu, Hiroya Takamura, Hideki Nakayama
    http://arxiv.org/abs/2102.02977v1

    • [cs.CL]Model Agnostic Answer Reranking System for Adversarial Question Answering
    Sagnik Majumder, Chinmoy Samant, Greg Durrett
    http://arxiv.org/abs/2102.03016v1

    • [cs.CL]RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER
    Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, Fangsheng Weng
    http://arxiv.org/abs/2102.02967v1

    • [cs.CL]Spell Correction for Azerbaijani Language using Deep Neural Networks
    Ahmad Ahmadzade, Saber Malekzadeh
    http://arxiv.org/abs/2102.03218v1

    • [cs.CL]Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge
    Sumithra Bhakthavatsalam, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Peter Clark
    http://arxiv.org/abs/2102.03315v1

    • [cs.CL]Understanding Pre-Editing for Black-Box Neural Machine Translation
    Rei Miyata, Atsushi Fujita
    http://arxiv.org/abs/2102.02955v1

    • [cs.CR]PredCoin: Defense against Query-based Hard-label Attack
    Junfeng Guo, Yaswanth Yadlapalli, Thiele Lothar, Ang Li, Cong Liu
    http://arxiv.org/abs/2102.02923v1

    • [cs.CR]Randomized Controlled Trials with Minimal Data Retention
    Winston Chou
    http://arxiv.org/abs/2102.03316v1

    • [cs.CR]The Discrepancy Attack on Polyshard-ed Blockchains
    Nastaran Abadi Khooshemehr, Mohammad Ali Maddah-Ali
    http://arxiv.org/abs/2102.02867v1

    • [cs.CV]A Deep Learning Approach Based on Graphs to Detect Plantation Lines
    Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Hemerson Pistori, Vanessa Jordão Marcato Fernandes, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Hongjie He, Jonathan Li, José Marcato Junior, Wesley Nunes Gonçalves
    http://arxiv.org/abs/2102.03213v1

    • [cs.CV]Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders
    Harshana Habaragamuwa, Yu Oishi, Kenichi Tanaka
    http://arxiv.org/abs/2102.03082v1

    • [cs.CV]Applications of Machine Learning in Document Digitisation
    Christian M. Dahl, Torben S. D. Johansen, Emil N. Sørensen, Christian E. Westermann, Simon F. Wittrock
    http://arxiv.org/abs/2102.03239v1

    • [cs.CV]Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery
    Ye Lyu, George Vosselman, Gui-Song Xia, Michael Ying Yang
    http://arxiv.org/abs/2102.03099v1

    • [cs.CV]CharacterGAN: Few-Shot Keypoint Character Animation and Reposing
    Tobias Hinz, Matthew Fisher, Oliver Wang, Eli Shechtman, Stefan Wermter
    http://arxiv.org/abs/2102.03141v1

    • [cs.CV]Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling
    Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama
    http://arxiv.org/abs/2102.02963v1

    • [cs.CV]Deep Texture-Aware Features for Camouflaged Object Detection
    Jingjing Ren, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Yangyang Xu, Weiming Wang, Zijun Deng, Pheng-Ann Heng
    http://arxiv.org/abs/2102.02996v1

    • [cs.CV]DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks
    Chong Xiang, Prateek Mittal
    http://arxiv.org/abs/2102.02956v1

    • [cs.CV]Fusion of neural networks, for LIDAR-based evidential road mapping
    Edouard Capellier, Franck Davoine, Veronique Cherfaoui, You Li
    http://arxiv.org/abs/2102.03326v1

    • [cs.CV]GNN-RL Compression: Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning
    Sixing Yu, Arya Mazaheri, Ali Jannesari
    http://arxiv.org/abs/2102.03214v1

    • [cs.CV]GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
    Hanqing Chao, Kun Wang, Yiwei He, Junping Zhang, Jianfeng Feng
    http://arxiv.org/abs/2102.03247v1

    • [cs.CV]Hyperspherical embedding for novel class classification
    Rafael S. Pereira, Alexis Joly, Patrick Valduriez, Fabio Porto
    http://arxiv.org/abs/2102.03243v1

    • [cs.CV]Improving state estimation through projection post-processing for activity recognition in football
    Michał Ciszewski, Jakob Söhl, Geurt Jongbloed
    http://arxiv.org/abs/2102.03310v1

    • [cs.CV]Instance and Panoptic Segmentation Using Conditional Convolutions
    Zhi Tian, Bowen Zhang, Hao Chen, Chunhua Shen
    http://arxiv.org/abs/2102.03026v1

    • [cs.CV]Metaknowledge Extraction Based on Multi-Modal Documents
    Shukan Liu, Ruilin Xu, Boying Geng, Qiao Sun, Li Duan, Yiming Liu
    http://arxiv.org/abs/2102.02971v1

    • [cs.CV]Metric Embedding Sub-discrimination Study
    Ryan Furlong, Vincent O’Brien, James Garland, Francisco Dominguez-Mateos
    http://arxiv.org/abs/2102.03176v1

    • [cs.CV]Multispectral Object Detection with Deep Learning
    Md Osman Gani, Somenath Kuiry, Alaka Das, Mita Nasipuri, Nibaran Das
    http://arxiv.org/abs/2102.03115v1

    • [cs.CV]Real-World Super-Resolution of Face-Images from Surveillance Cameras
    Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund
    http://arxiv.org/abs/2102.03113v1

    • [cs.CV]Sampling Based Scene-Space Video Processing
    Felix Klose, Oliver Wang, Jean-Charles Bazin, Marcus Magnor, Alexander Sorkine-Hornung
    http://arxiv.org/abs/2102.03011v1

    • [cs.CV]Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
    Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou
    http://arxiv.org/abs/2102.02972v1

    • [cs.CV]Transductive Zero-Shot Learning by Decoupled Feature Generation
    Federico Marmoreo, Jacopo Cavazza, Vittorio Murino
    http://arxiv.org/abs/2102.03266v1

    • [cs.CV]Unsupervised Novel View Synthesis from a Single Image
    Pierluigi Zama Ramirez, Alessio Tonioni, Federico Tombari
    http://arxiv.org/abs/2102.03285v1

    • [cs.CV]Zero-shot Learning with Deep Neural Networks for Object Recognition
    Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
    http://arxiv.org/abs/2102.03137v1

    • [cs.CY]BlockNet Report: Curriculum Guidance Document
    Boris Düdder, Haiqin Wu, Michael Henke, Natalia Straub, Tan Gürpinar, Philipp Asterios Ioannidis, Vladislav Fomin, Raimundas Matulevičius, Mubashar Iqbal
    http://arxiv.org/abs/2102.03226v1

    • [cs.CY]Challenges in biomarker discovery and biorepository for Gulf-war-disease studies: a novel data platform solution
    Dimitris Floros, Mulugu V. Brahmajothi, Alexandros-Stavros Iliopoulos, Nikos Pitsianis, Xiaobai Sun
    http://arxiv.org/abs/2102.02878v1

    • [cs.CY]Toward a Rational and Ethical Sociotechnical System of Autonomous Vehicles: A Novel Application of Multi-Criteria Decision Analysis
    Veljko Dubljević, George F. List, Jovan Milojevich, Nirav Ajmeri, William Bauer, Munindar P. Singh, Eleni Bardaka, Thomas Birkland, Charles Edwards, Roger Mayer, Ioan Muntean, Thomas Powers, Hesham Rakha, Vance Ricks, M. Shoaib Samandar
    http://arxiv.org/abs/2102.02928v1

    • [cs.DC]A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
    Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan
    http://arxiv.org/abs/2102.03012v1

    • [cs.DC]Committee selection in DAG distributed ledgers and applications
    Bartosz Kuśmierz, Sebastian Müller, Angelo Capossele
    http://arxiv.org/abs/2102.03139v1

    • [cs.DC]Connecting flying backhauls of UAVs to enhance vehicular networks with fixed 5G NR infrastructure
    Dalia Popescu, Philippe Jacquet, Bernard Mans
    http://arxiv.org/abs/2102.03040v1

    • [cs.DC]Disaggregated Memory at the Edge
    Luis M Vaquero, Yehia Elkhatib, Felix Cuadrado
    http://arxiv.org/abs/2102.03124v1

    • [cs.DC]HiCOPS: High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry based Omics Data
    Muhammad Haseeb, Muhammad Haseeb
    http://arxiv.org/abs/2102.02286v2

    • [cs.DL]A fast and integrative algorithm for clustering performance evaluation in author name disambiguation
    Jinseok Kim
    http://arxiv.org/abs/2102.03251v1

    • [cs.DL]Effect of forename string on author name disambiguation
    Jinseok Kim, Jenna Kim
    http://arxiv.org/abs/2102.03250v1

    • [cs.DL]Generating automatically labeled data for author name disambiguation: An iterative clustering method
    Jinseok Kim, Jinmo Kim, Jason Owen-Smith
    http://arxiv.org/abs/2102.03272v1

    • [cs.DL]ORCID-linked labeled data for evaluating author name disambiguation at scale
    Jinseok Kim, Jason Owen-Smith
    http://arxiv.org/abs/2102.03237v1

    • [cs.DS]Online Bin Packing with Predictions
    Spyros Angelopoulos, Shahin Kamali, Kimia Shadkami
    http://arxiv.org/abs/2102.03311v1

    • [cs.GT]Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets
    Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano
    http://arxiv.org/abs/2102.03044v1

    • [cs.IR]Application of Deep Learning in Recognizing Bates Numbers and Confidentiality Stamping from Images
    Christian J. Mahoney, Katie Jensen, Fusheng Wei, Haozhen Zhao, Han Qin, Shi Ye
    http://arxiv.org/abs/2102.02995v1

    • [cs.IR]Diversification in Session-based News Recommender Systems
    Alireza Gharahighehi, Celine Vens
    http://arxiv.org/abs/2102.03265v1

    • [cs.IR]Dual-embedding based Neural Collaborative Filtering for Recommender Systems
    Gongshan He, Dongxing Zhao, Lixin Ding
    http://arxiv.org/abs/2102.02549v2

    • [cs.IR]Graph Attention Collaborative Similarity Embedding for Recommender System
    Jinbo Song, Chao Chang, Fei Sun, Zhenyang Chen, Guoyong Hu, Peng Jiang
    http://arxiv.org/abs/2102.03135v1

    • [cs.IR]Leveraging Review Properties for Effective Recommendation
    Xi Wang, Iadh Ounis, Craig Macdonald
    http://arxiv.org/abs/2102.03089v1

    • [cs.IR]Towards a Flexible System Architecture for Automated Knowledge Base Construction Frameworks
    Osman Din
    http://arxiv.org/abs/2102.02922v1

    • [cs.IT]Bounds on List Decoding of Linearized Reed-Solomon Codes
    Sven Puchinger, Johan Rosenkilde
    http://arxiv.org/abs/2102.03079v1

    • [cs.IT]Deep Reinforcement Learning for Energy-Efficient Beamforming Design in Cell-Free Networks
    Weilai Li, Wanli Ni, Hui Tian, Meihui Hua
    http://arxiv.org/abs/2102.03077v1

    • [cs.IT]Function-Correcting Codes
    Andreas Lenz, Rawad Bitar, Antonia Wachter-Zeh, Eitan Yaakobi
    http://arxiv.org/abs/2102.03094v1

    • [cs.IT]Globally Optimal Beamforming for Rate Splitting Multiple Access
    Bho Matthiesen, Yijie Mao, Petar Popovski, Bruno Clerckx
    http://arxiv.org/abs/2102.03071v1

    • [cs.IT]Hierarchical Resource Allocation: Balancing Throughput and Energy Efficiency in Wireless Systems
    Bho Matthiesen, Eduard A. Jorswieck, Petar Popovski
    http://arxiv.org/abs/2102.03105v1

    • [cs.IT]Minimizing the Age of Incorrect Information for Real-time Tracking of Markov Remote Sources
    Saad Kriouile, Mohamad Assaad
    http://arxiv.org/abs/2102.03245v1

    • [cs.IT]Multi-Cell Mobile Edge Computing: Joint Service Migration and Resource Allocation
    Zezu Liang, Yuan Liu, Tat-Ming Lok, Kaibin Huang
    http://arxiv.org/abs/2102.03036v1

    • [cs.IT]Optimizing RRH Placement Under a Noise-Limited Point-to-Point Wireless Backhaul
    Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau
    http://arxiv.org/abs/2102.02970v1

    • [cs.IT]Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning
    Wei Jiang, Hans Dieter Schotten
    http://arxiv.org/abs/2102.03325v1

    • [cs.IT]Reconfigurable Intelligent Surface Assisted Edge Machine Learning
    Shanfeng Huang, Shuai Wang, Rui Wang, Miaowen Wen, Kaibin Huang
    http://arxiv.org/abs/2102.03185v1

    • [cs.IT]Resource Allocation and Scheduling in Non-coherent User-centric Cell-free MIMO
    Hussein A. Ammar, Raviraj Adve, Shahram Shahbazpanahi, Gary Boudreau, Kothapalli Srinivas
    http://arxiv.org/abs/2102.02968v1

    • [cs.IT]Wiener Filter versus Recurrent Neural Network-based 2D-Channel Estimation for V2X Communications
    Moritz Benedikt Fischer, Sebastian Dörner, Sebastian Cammerer, Takayuki Shimizu, Bin Cheng, Hongsheng Lu, Stephan ten Brink
    http://arxiv.org/abs/2102.03163v1

    • [cs.LG]1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
    Hanlin Tang, Shaoduo Gan, Ammar Ahmad Awan, Samyam Rajbhandari, Conglong Li, Xiangru Lian, Ji Liu, Ce Zhang, Yuxiong He
    http://arxiv.org/abs/2102.02888v1

    • [cs.LG]A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration
    Miroslav Kosanic, Veljko Milutinovic
    http://arxiv.org/abs/2102.03206v1

    • [cs.LG]A Variational Information Bottleneck Approach to Multi-Omics Data Integration
    Changhee Lee, Mihaela van der Schaar
    http://arxiv.org/abs/2102.03014v1

    • [cs.LG]A simpler spectral approach for clustering in directed networks
    Simon Coste, Ludovic Stephan
    http://arxiv.org/abs/2102.03188v1

    • [cs.LG]Active Slices for Sliced Stein Discrepancy
    Wenbo Gong, Kaibo Zhang, Yingzhen Li, José Miguel Hernández-Lobato
    http://arxiv.org/abs/2102.03159v1

    • [cs.LG]Alchemy: A structured task distribution for meta-reinforcement learning
    Jane X. Wang, Michael King, Nicolas Porcel, Zeb Kurth-Nelson, Tina Zhu, Charlie Deck, Peter Choy, Mary Cassin, Malcolm Reynolds, Francis Song, Gavin Buttimore, David P. Reichert, Neil Rabinowitz, Loic Matthey, Demis Hassabis, Alexander Lerchner, Matthew Botvinick
    http://arxiv.org/abs/2102.02926v1

    • [cs.LG]Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
    Tomoya Murata, Taiji Suzuki
    http://arxiv.org/abs/2102.03198v1

    • [cs.LG]Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alter
    b43
    native Herbal Medicine Discrimination with Electronic Nose
    Li Liu, Xianghao Zhan, Rumeng Wu, Xiaoqing Guan, Zhan Wang, Wei Zhang, You Wang, Zhiyuan Luo, Guang Li
    http://arxiv.org/abs/2102.03088v1

    • [cs.LG]CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
    Ana Lucic, Maartje ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri
    http://arxiv.org/abs/2102.03322v1

    • [cs.LG]Categorical data as a stone guest in a data science project for predicting defective water meters
    Giovanni Delnevo, Marco Roccetti, Luca Casini
    http://arxiv.org/abs/2102.03284v1

    • [cs.LG]Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
    Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song
    http://arxiv.org/abs/2102.03065v1

    • [cs.LG]DEAL: Decremental Energy-Aware Learning in a Federated System
    Wenting Zou, Li Li, Zichen Xu, Chengzhong Xu
    http://arxiv.org/abs/2102.03051v1

    • [cs.LG]Deceptive Reinforcement Learning for Privacy-Preserving Planning
    Zhengshang Liu, Yue Yang, Tim Miller, Peta Masters
    http://arxiv.org/abs/2102.03022v1

    • [cs.LG]DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning
    Kelly Kostopoulou, Hang Xu, Aritra Dutta, Xin Li, Alexandros Ntoulas, Panos Kalnis
    http://arxiv.org/abs/2102.03112v1

    • [cs.LG]Equivariant message passing for the prediction of tensorial properties and molecular spectra
    Kristof T. Schütt, Oliver T. Unke, Michael Gastegger
    http://arxiv.org/abs/2102.03150v1

    • [cs.LG]Estimating 2-Sinkhorn Divergence between Gaussian Processes from Finite-Dimensional Marginals
    Anton Mallasto
    http://arxiv.org/abs/2102.03267v1

    • [cs.LG]Evaluating Deep Learning in SystemML using Layer-wise Adaptive Rate Scaling(LARS) Optimizer
    Kanchan Chowdhury, Ankita Sharma, Arun Deepak Chandrasekar
    http://arxiv.org/abs/2102.03018v1

    • [cs.LG]Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
    Giovanni Cherubin, Konstantinos Chatzikokolakis, Martin Jaggi
    http://arxiv.org/abs/2102.03236v1

    • [cs.LG]Fast and Memory Efficient Differentially Private-SGD via JL Projections
    Zhiqi Bu, Sivakanth Gopi, Janardhan Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
    http://arxiv.org/abs/2102.03013v1

    • [cs.LG]Feedback in Imitation Learning: Confusion on Causality and Covariate Shift
    Jonathan Spencer, Sanjiban Choudhury, Arun Venkatraman, Brian Ziebart, J. Andrew Bagnell
    http://arxiv.org/abs/2102.02872v1

    • [cs.LG]Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency
    Masatoshi Uehara, Masaaki Imaizumi, Nan Jiang, Nathan Kallus, Wen Sun, Tengyang Xie
    http://arxiv.org/abs/2102.02981v1

    • [cs.LG]GIBBON: General-purpose Information-Based Bayesian OptimisatioN
    Henry B. Moss, David S. Leslie, Javier Gonzalez, Paul Rayson
    http://arxiv.org/abs/2102.03324v1

    • [cs.LG]Graph Joint Attention Networks
    Tiantian He, Lu Bai, Yew-Soon Ong
    http://arxiv.org/abs/2102.03147v1

    • [cs.LG]Hyperparameter Optimization Is Deceiving Us, and How to Stop It
    A. Feder Cooper, Yucheng Lu, Christopher De Sa
    http://arxiv.org/abs/2102.03034v1

    • [cs.LG]In-Loop Meta-Learning with Gradient-Alignment Reward
    Samuel Müller, André Biedenkapp, Frank Hutter
    http://arxiv.org/abs/2102.03275v1

    • [cs.LG]Integer Programming for Causal Structure Learning in the Presence of Latent Variables
    Rui Chen, Sanjeeb Dash, Tian Gao
    http://arxiv.org/abs/2102.03129v1

    • [cs.LG]Interpretable Neural Networks based classifiers for categorical inputs
    Stefano Zamuner, Paolo De Los Rios
    http://arxiv.org/abs/2102.03202v1

    • [cs.LG]Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence
    Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl
    http://arxiv.org/abs/2102.03189v1

    • [cs.LG]Last iterate convergence of SGD for Least-Squares in the Interpolation regime
    Aditya Varre, Loucas Pillaud-Vivien, Nicolas Flammarion
    http://arxiv.org/abs/2102.03183v1

    • [cs.LG]Learning High DimensionalWasserstein Geodesics
    Shu Liu, Shaojun Ma, Yongxin Chen, Hongyuan Zha, Haomin Zhou
    http://arxiv.org/abs/2102.02992v1

    • [cs.LG]Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review
    Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu
    http://arxiv.org/abs/2102.03336v1

    • [cs.LG]Matrix Decomposition on Graphs: A Functional View
    Abhishek Sharma, Maks Ovsjanikov
    http://arxiv.org/abs/2102.03233v1

    • [cs.LG]Multi-Sample Online Learning for Spiking Neural Networks based on Generalized Expectation Maximization
    Hyeryung Jang, Osvaldo Simeone
    http://arxiv.org/abs/2102.03280v1

    • [cs.LG]NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data
    Siyuan Shan, Junier B. Oliva
    http://arxiv.org/abs/2102.03340v1

    • [cs.LG]On The Connection of Benford’s Law and Neural Networks
    Surya Kant Sahu, Abhinav Java, Arshad Shaikh
    http://arxiv.org/abs/2102.03313v1

    • [cs.LG]On the Reproducibility of Neural Network Predictions
    Srinadh Bhojanapalli, Kimberly Wilber, Andreas Veit, Ankit Singh Rawat, Seungyeon Kim, Aditya Menon, Sanjiv Kumar
    http://arxiv.org/abs/2102.03349v1

    • [cs.LG]On the Sample Complexity of Causal Discovery and the Value of Domain Expertise
    Samir Wadhwa, Roy Dong
    http://arxiv.org/abs/2102.03274v1

    • [cs.LG]Optimal Transport as a Defense Against Adversarial Attacks
    Quentin Bouniot, Romaric Audigier, Angélique Loesch
    http://arxiv.org/abs/2102.03156v1

    • [cs.LG]PipeTransformer: Automated Elastic Pipelining for Distributed Training of Transformers
    Chaoyang He, Shen Li, Mahdi Soltanolkotabi, Salman Avestimehr
    http://arxiv.org/abs/2102.03161v1

    • [cs.LG]Progressive Neural Image Compression with Nested Quantization and Latent Ordering
    Yadong Lu, Yinhao Zhu, Yang Yang, Amir Said, Taco S Cohen
    http://arxiv.org/abs/2102.02913v1

    • [cs.LG]Provably Efficient Algorithms for Multi-Objective Competitive RL
    Tiancheng Yu, Yi Tian, Jingzhao Zhang, Suvrit Sra
    http://arxiv.org/abs/2102.03192v1

    • [cs.LG]Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
    Minyoung Kim, Vladimir Pavlovic
    http://arxiv.org/abs/2102.03151v1

    • [cs.LG]Removing biased data to improve fairness and accuracy
    Sahil Verma, Michael Ernst, Rene Just
    http://arxiv.org/abs/2102.03054v1

    • [cs.LG]Revisiting Prioritized Experience Replay: A Value Perspective
    Ang A. Li, Zongqing Lu, Chenglin Miao
    http://arxiv.org/abs/2102.03261v1

    • [cs.LG]baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
    Michael A. Alcorn, Anh Nguyen
    http://arxiv.org/abs/2102.03291v1

    • [cs.NE]Sparse Reward Exploration via Novelty Search and Emitters
    Giuseppe Paolo, Alexandre Coninx, Stephane Doncieux, Alban Laflaquière
    http://arxiv.org/abs/2102.03140v1

    • [cs.RO]A Collaborative Visual SLAM Framework for Service Robots
    Ming Ouyang, Xuesong Shi, Yujie Wang, Yuxin Tian, Yingzhe Shen, Dawei Wang, Peng Wang
    http://arxiv.org/abs/2102.03228v1

    • [cs.RO]An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios
    Chengmin Zhou, Bingding Huang, Pasi Fränti
    http://arxiv.org/abs/2102.03138v1

    • [cs.RO]BAXTER: Bi-modal Aerial-Terrestrial Hybrid Vehicle for Long-endurance Versatile Mobility: Preprint Version
    Hyungho Chris Choi, Inhwan Wee, Micah Corah, Sahand Sabet, Taeyeon Kim, Thomas Touma, David Hyunchul Shim, Ali-akbar Agha-mohammadi
    http://arxiv.org/abs/2102.02942v1

    • [cs.RO]Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning
    Julian Bernhard, Robert Gieselmann, Klemens Esterle, Alois Knoll
    http://arxiv.org/abs/2102.03127v1

    • [cs.RO]How to Train Your Robot with Deep Reinforcement Learning; Lessons We’ve Learned
    Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine
    http://arxiv.org/abs/2102.02915v1

    • [cs.RO]Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots
    Srivatsan Krishnan, Zishen Wan, Kshitij Bharadwaj, Paul Whatmough, Aleksandra Faust, Sabrina Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi
    http://arxiv.org/abs/2102.02988v1

    • [cs.RO]Maintaining driver attentiveness in shared-control autonomous driving
    Radu Calinescu, Naif Alasmari, Mario Gleirscher
    http://arxiv.org/abs/2102.03298v1

    • [cs.RO]Pedestrian Simulation: A Review
    Amir Rasouli
    http://arxiv.org/abs/2102.03289v1

    • [cs.RO]Securing emergent behaviour in swarm robotics
    Liqun Chen, Siaw-Lynn Ng
    http://arxiv.org/abs/2102.03148v1

    • [cs.RO]Towards integrated tactile sensorimotor control in anthropomorphic soft robotic hands
    Nathan F. Lepora, Andrew Stinchcombe, Chris Ford, Alfred Brown, John Lloyd, Manuel G. Catalano, Matteo Bianchi, Benjamin Ward-Cherrier
    http://arxiv.org/abs/2102.03318v1

    • [cs.SD]Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1
    Fu-Shun Hsu, Shang-Ran Huang, Chien-Wen Huang, Chao-Jung Huang, Yuan-Ren Cheng, Chun-Chieh Chen, Jack Hsiao, Chung-Wei Chen, Li-Chin Chen, Yen-Chun Lai, Bi-Fang Hsu, Nian-Jhen Lin, Wan-Lin Tsai, Yi-Lin Wu, Tzu-Ling Tseng, Ching-Ting Tseng, Yi-Tsun Chen, Feipei Lai
    http://arxiv.org/abs/2102.03049v1

    • [cs.SD]Chord Embeddings: Analyzing What They Capture and Their Role for Next Chord Prediction and Artist Attribute Prediction
    Allison Lahnala, Gauri Kambhatla, Jiajun Peng, Matthew Whitehead, Gillian Minnehan, Eric Guldan, Jonathan K. Kummerfeld, Anıl Çamcı, Rada Mihalcea
    http://arxiv.org/abs/2102.02917v1

    • [cs.SD]Diversity-Robust Acoustic Feature Signatures Based on Multiscale Fractal Dimension for Similarity Search of Environmental Sounds
    Motohiro Sunouchi, Masaharu Yoshioka
    http://arxiv.org/abs/2102.02964v1

    • [cs.SD]Multi-Task Self-Supervised Pre-Training for Music Classification
    Ho-Hsiang Wu, Chieh-Chi Kao, Qingming Tang, Ming Sun, Brian McFee, Juan Pablo Bello, Chao Wang
    http://arxiv.org/abs/2102.03229v1

    • [cs.SD]Real-time Denoising and Dereverberation with Tiny Recurrent U-Net
    Hyeong-Seok Choi, Sungjin Park, Jie Hwan Lee, Hoon Heo, Dongsuk Jeon, Kyogu Lee
    http://arxiv.org/abs/2102.03207v1

    • [cs.SD]Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR
    Ruizhi Li, Gregory Sell, Hynek Hermansky
    http://arxiv.org/abs/2102.03055v1

    • [cs.SD]White-box Audio VST Effect Programming
    Christopher Mitcheltree, Hideki Koike
    http://arxiv.org/abs/2102.03170v1

    • [cs.SI]Another estimation of Laplacian spectrum of the Kronecker product of graphs
    Milan Bašić, Branko Arsić, Zoran Obradović
    http://arxiv.org/abs/2102.02924v1

    • [cs.SI]Formational bounds of link prediction in collaboration networks
    Jinseok Kim, Jana Diesner
    http://arxiv.org/abs/2102.03258v1

    • [cs.SI]How Information Diffuse in a Nomination Network
    Minghao Wang, Keyu Xu, Xiaohui Wang, Paolo Mengoni
    http://arxiv.org/abs/2102.03052v1

    • [cs.SI]Over-time measurement of triadic closure in coauthorship networks
    Jinseok Kim, Jana Diesner
    http://arxiv.org/abs/2102.03270v1

    • [cs.SI]Self-Supervised Deep Graph Embedding with High-Order Information Fusion for Community Discovery
    Shuliang Xu, Lin Feng
    http://arxiv.org/abs/2102.03302v1

    • [eess.AS]Intermediate Loss Regularization for CTC-based Speech Recognition
    Jaesong Lee, Shinji Watanabe
    http://arxiv.org/abs/2102.03216v1

    • [eess.IV]3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
    Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
    http://arxiv.org/abs/2102.03111v1

    • [eess.IV]Deep Learning compatible Differentiable X-ray Projections for Inverse Rendering
    Karthik Shetty, Annette Birkhold, Norbert Strobel, Bernhard Egger, Srikrishna Jaganathan, Markus Kowarschik, Andreas Maier
    http://arxiv.org/abs/2102.02912v1

    • [eess.SP]Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network
    Gregor Cerar, Aleš Švigelj, Mihael Mohorčič, Carolina Fortuna, Tomaž Javornik
    http://arxiv.org/abs/2102.03130v1

    • [eess.SP]LoRD-Net: Unfolded Deep Detection Network with Low-Resolution Receivers
    Shahin Khobahi, Nir Shlezinger, Mojtaba Soltanalian, Yonina C. Eldar
    http://arxiv.org/abs/2102.02993v1

    • [math.OC]Obstacle Avoidance via Hybrid Feedback
    Soulaimane Berkane, Andrea Bisoffi, Dimos V. Dimarogonas
    http://arxiv.org/abs/2102.02883v1

    • [math.ST]A new robust approach for multinomial logistic regression with complex design model
    Elena Castilla, Pedro J. Chocano
    http://arxiv.org/abs/2102.03073v1

    • [math.ST]Inference and model selection in general causal time series with exogenous covariates
    Mamadou Lamine Diop, William Kengne
    http://arxiv.org/abs/2102.02870v1

    • [math.ST]On the estimating equations and objective functions for parameters of exponential power distribution: Application for disorder
    Mehmet Niyazi Çankaya
    http://arxiv.org/abs/2102.03262v1

    • [q-bio.BM]Analyzing Host-Viral Interactome of SARS-CoV-2 for Identifying Vulnerable Host Proteins during COVID-19 Pathogenesis
    Jayanta Kumar Das, Swarup Roy, Pietro Hiram Guzzi
    http://arxiv.org/abs/2102.03253v1

    • [q-bio.GN]Measuring Utility and Privacy of Synthetic Genomic Data
    Bristena Oprisanu, Georgi Ganev, Emiliano De Cristofaro
    http://arxiv.org/abs/2102.03314v1

    • [quant-ph]Cache Blocking Technique to Large Scale Quantum Computing Simulation on Supercomputers
    Jun Doi, Hiroshi Horii
    http://arxiv.org/abs/2102.02957v1

    • [quant-ph]Effects of quantum resources on the statistical complexity of quantum circuits
    Kaifeng Bu, Dax Enshan Koh, Lu Li, Qingxian Luo, Yaobo Zhang
    http://arxiv.org/abs/2102.03282v1

    • [stat.AP]An Interaction Neyman-Scott Point Process Model for Coronavirus Disease-19
    J. Park, W. Chang, B. Choi
    http://arxiv.org/abs/2102.02999v1

    • [stat.AP]Spatial Functional Data Modeling of Plant Reflectances
    Philip A. White, Henry Frye, Michael F. Christensen, Alan E. Gelfand, John A. Silander Jr
    http://arxiv.org/abs/2102.03249v1

    • [stat.CO]ROBustness In Network (robin): an R package for Comparison and Validation of communities
    Valeria Policastro, Dario Righelli, Annamaria Carissimo, Luisa Cutillo, Italia De Feis
    http://arxiv.org/abs/2102.03106v1

    • [stat.ME]Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study
    Björn Holzhauer, Lisa V. Hampson, John Paul Gosling, Björn Bornkamp, Joseph Kahn, Markus R. Lange, Wen-Lin Luo, Caterina Brindicci, David Lawrence, Steffen Ballerstedt, Anthony O’Hagan
    http://arxiv.org/abs/2102.02852v1

    • [stat.ME]Hierarchical Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping
    Leiwen Gao, Abhirup Datta, Sudipto Banerjee
    http://arxiv.org/abs/2102.02911v1

    • [stat.ME]Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach
    Lubna Amro, Frank Konietschke, Markus Pauly
    http://arxiv.org/abs/2102.02871v1

    • [stat.ME]Tilted Nonparametric Regression Function Estimation
    Farzaneh Boroumand, Mohammad T. Shakeri, Nino Kordzakhia, Mahdi Salehi, Hassan Doosti
    http://arxiv.org/abs/2102.02381v1

    • [stat.ME]Vine copula mixture models and clustering for non-Gaussian data
    Özge Sahin, Claudia Czado
    http://arxiv.org/abs/2102.03257v1

    • [stat.ML]Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression
    Masanori Yamada, Sekitoshi Kanai, Tomoharu Iwata, Tomokatsu Takahashi, Yuki Yamanaka, Hiroshi Takahashi, Atsutoshi Kumagai
    http://arxiv.org/abs/2102.02950v1

    • [stat.ML]Learning While Dissipating Information: Understanding the Generalization Capability of SGLD
    Hao Wang, Yizhe Huang, Rui Gao, Flavio P. Calmon
    http://arxiv.org/abs/2102.02976v1

    • [stat.ML]Sparse Normal Means Estimation with Sublinear Communication
    Chen Amiraz, Robert Krauthgamer, Boaz Nadler
    http://arxiv.org/abs/2102.03060v1

    • [stat.ML]The Fourier Loss Function
    Auricchio Gennaro, Codegoni Andrea, Gualandi Stefano, Zambon Lorenzo
    http://arxiv.org/abs/2102.02979v1

    • [stat.ML]ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
    Wonjae Kim, Bokyung Son, Ildoo Kim
    http://arxiv.org/abs/2102.03334v1