astro-ph.EP - 地球与行星天体

    astro-ph.SR - 太阳和天体物理学恒星 cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 gr-qc - 广义相对论与量子宇宙学 hep-th - 高能物理理论 math.OC - 优化与控制 math.RA - 环与代数 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.geo-ph - 地球物理学 physics.ins-det - 仪器和探测器 physics.med-ph - 医学物理学 q-bio.NC - 神经元与认知 q-fin.TR - 贸易与市场微观结构 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.EP]Planet cartography with neural learned regularization
    • [astro-ph.SR]Cluster analysis of presolar silicon carbide grains: evaluation of their classification and astrophysical implications
    • [cond-mat.mtrl-sci]High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming
    • [cs.AI]A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion
    • [cs.AI]CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions
    • [cs.AI]Combining reinforcement learning with lin-kernighan-helsgaun algorithm for the traveling salesman problem
    • [cs.AI]Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
    • [cs.AI]Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives
    • [cs.AI]Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
    • [cs.AI]On Irrelevant Literals in Pseudo-Boolean Constraint Learning
    • [cs.AI]URoboSim — An Episodic Simulation Framework for Prospective Reasoning in Robotic Agents
    • [cs.AI]iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes
    • [cs.AR]DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning
    • [cs.CL]A Taxonomy of Empathetic Response Intents in Human Social Conversations
    • [cs.CL]A Topological Method for Comparing Document Semantics
    • [cs.CL]Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
    • [cs.CL]CTRLsum: Towards Generic Controllable Text Summarization
    • [cs.CL]CX DB8: A queryable extractive summarizer and semantic search engine
    • [cs.CL]Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
    • [cs.CL]Cross-lingual Approach to Abstractive Summarization
    • [cs.CL]CrossNER: Evaluating Cross-Domain Named Entity Recognition
    • [cs.CL]Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT
    • [cs.CL]Discourse Parsing of Contentious, Non-Convergent Online Discussions
    • [cs.CL]Distilling Knowledge from Reader to Retriever for Question Answering
    • [cs.CL]Document Graph for Neural Machine Translation
    • [cs.CL]Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
    • [cs.CL]End-to-End Chinese Parsing Exploiting Lexicons
    • [cs.CL]Extractive Opinion Summarization in Quantized Transformer Spaces
    • [cs.CL]Facts2Story: Controlling Text Generation by Key Facts
    • [cs.CL]Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid ASR Systems
    • [cs.CL]From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
    • [cs.CL]Globetrotter: Unsupervised Multilingual Translation from Visual Alignment
    • [cs.CL]Improvements and Extensions on Metaphor Detection
    • [cs.CL]Improving Clinical Document Understanding on COVID-19 Research with Spark NLP
    • [cs.CL]Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution
    • [cs.CL]Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
    • [cs.CL]Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
    • [cs.CL]The Role of Interpretable Patterns in Deep Learning for Morphology
    • [cs.CL]Unsupervised Label Refinement Improves Dataless Text Classification
    • [cs.CL]Using multiple ASR hypotheses to boost i18n NLU performance
    • [cs.CR]Cyber Autonomy: Automating the Hacker- Self-healing, self-adaptive, automatic cyber defense systems and their impact to the industry, society and national security
    • [cs.CR]Privacy-Preserving Spam Filtering using Functional Encryption
    • [cs.CR]When Services Computing Meets Blockchain: Challenges and Opportunities
    • [cs.CV]3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
    • [cs.CV]A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
    • [cs.CV]Accurate 3D Object Detection using Energy-Based Models
    • [cs.CV]Active Visual Localization in Partially Calibrated Environments
    • [cs.CV]Bayesian Image Reconstruction using Deep Generative Models
    • [cs.CV]CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
    • [cs.CV]CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing
    • [cs.CV]Confidence-aware Non-repetitive Multimodal Transformers for TextCaps
    • [cs.CV]Context-Aware Graph Convolution Network for Target Re-identification
    • [cs.CV]Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
    • [cs.CV]Cost Sensitive Optimization of Deepfake Detector
    • [cs.CV]Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
    • [cs.CV]Data Instance Prior for Transfer Learning in GANs
    • [cs.CV]Deformable Gabor Feature Networks for Biomedical Image Classification
    • [cs.CV]Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
    • [cs.CV]Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
    • [cs.CV]GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
    • [cs.CV]Generating unseen complex scenes: are we there yet?
    • [cs.CV]Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals
    • [cs.CV]KNN-enhanced Deep Learning Against Noisy Labels
    • [cs.CV]Learning Independent Instance Maps for Crowd Localization
    • [cs.CV]Learning Portrait Style Representations
    • [cs.CV]Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
    • [cs.CV]Learning to Generate Content-Aware Dynamic Detectors
    • [cs.CV]MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
    • [cs.CV]MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
    • [cs.CV]Multi-Objective Interpolation Training for Robustness to Label Noise
    • [cs.CV]Multi-modal Visual Tracking: Review and Experimental Comparison
    • [cs.CV]NeRD: Neural Reflectance Decomposition from Image Collections
    • [cs.CV]Overcomplete Representations Against Adversarial Videos
    • [cs.CV]Parameter Efficient Multimodal Transformers for Video Representation Learning
    • [cs.CV]Perceptual Robust Hashing for Color Images with Canonical Correlation Analysis
    • [cs.CV]Performance Analysis of Keypoint Detectors and Binary Descriptors Under Varying Degrees of Photometric and Geometric Transformations
    • [cs.CV]Rotation-Invariant Autoencoders for Signals on Spheres
    • [cs.CV]Rotation-Invariant Point Convolution With Multiple Equivariant Alignments
    • [cs.CV]SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization
    • [cs.CV]SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
    • [cs.CV]Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
    • [cs.CV]Semantic Image Synthesis via Efficient Class-Adaptive Normalization
    • [cs.CV]Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search
    • [cs.CV]StacMR: Scene-Text Aware Cross-Modal Retrieval
    • [cs.CV]Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence
    • [cs.CV]SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis
    • [cs.CV]TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
    • [cs.CV]Texture Transform Attention for Realistic Image Inpainting
    • [cs.CV]The Lottery Ticket Hypothesis for Object Recognition
    • [cs.CV]Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
    • [cs.CV]UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
    • [cs.CV]Using Feature Alignment can Improve Clean Average Precision and Adversarial Robustness in Object Detection
    • [cs.CV]VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs
    • [cs.CV]Variational Interaction Information Maximization for Cross-domain Disentanglement
    • [cs.CV]Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos
    • [cs.CV]Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
    • [cs.DC]Pattern Morphing for Efficient Graph Mining
    • [cs.DC]Patterns, anticipation and participatory futures
    • [cs.DC]SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
    • [cs.DS]Algorithms for finding $k$ in $k$-means
    • [cs.HC]Supporting User Autonomy with Multimodal Fusion to Detect when a User Needs Assistance from a Social Robot
    • [cs.IR]TADO: Time-varying Attention with Dual-Optimizer Model
    • [cs.IR]Unifying Online and Counterfactual Learning to Rank
    • [cs.IT]A Novel Transformation Approach of Shared-link Coded Caching Schemes for Multiaccess Networks
    • [cs.IT]Conditional independence structures over four discrete random variables revisited: conditional Ingleton inequalities
    • [cs.IT]Construction of optimal spectral methods in phase retrieval
    • [cs.IT]Design and Analysis of Uplink and Downlink Communications for Federated Learning
    • [cs.IT]Discrete Signal Processing on Meet/Join Lattices
    • [cs.IT]Group testing for overlapping communities
    • [cs.IT]Multi-agent control of airplane wing stability under the flexural torsion flutter
    • [cs.IT]On the differential spectrum of a class of power functions over finite fields
    • [cs.IT]Quantum LDPC Codes with Almost Linear Minimum Distance
    • [cs.IT]Wideband Beam Tracking in THz Massive MIMO Systems
    • [cs.LG]A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions
    • [cs.LG]ATOM3D: Tasks On Molecules in Three Dimensions
    • [cs.LG]Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
    • [cs.LG]Active Learning: Problem Settings and Recent Developments
    • [cs.LG]Active machine learning for spatio-temporal predictions using feature embedding
    • [cs.LG]An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
    • [cs.LG]An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth
    • [cs.LG]Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?
    • [cs.LG]Battery Model Calibration with Deep Reinforcement Learning
    • [cs.LG]Convergence Rates for Multi-classs Logistic Regression Near Minimum
    • [cs.LG]Cost-effective Machine Learning Inference Offload for Edge Computing
    • [cs.LG]DE-RRD: A Knowledge Distillation Framework for Recommender System
    • [cs.LG]Data Dependent Randomized Smoothing
    • [cs.LG]Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws
    • [cs.LG]Deep Energy-Based NARX Models
    • [cs.LG]Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning
    • [cs.LG]Efficient Automatic CASH via Rising Bandits
    • [cs.LG]Efficient Estimation of Influence of a Training Instance
    • [cs.LG]Federated Multi-Task Learning for Competing Constraints
    • [cs.LG]Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model
    • [cs.LG]GMM-Based Generative Adversarial Encoder Learning
    • [cs.LG]GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms
    • [cs.LG]GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
    • [cs.LG]In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
    • [cs.LG]Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning
    • [cs.LG]Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition
    • [cs.LG]Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
    • [cs.LG]Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
    • [cs.LG]Molecule Optimization via Fragment-based Generative Models
    • [cs.LG]Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures
    • [cs.LG]Optimal Survival Trees
    • [cs.LG]Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features
    • [cs.LG]RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System
    • [cs.LG]Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy
    • [cs.LG]Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately
    • [cs.LG]Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
    • [cs.LG]Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
    • [cs.LG]Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions
    • [cs.LG]Stability and Identification of Random Asynchronous Linear Time-Invariant Systems
    • [cs.LG]Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Renormalization Group
    • [cs.LG]Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods
    • [cs.LG]The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems
    • [cs.LG]The Tribes of Machine Learning and the Realm of Computer Architecture
    • [cs.LG]Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
    • [cs.LG]Two-Phase Learning for Overcoming Noisy Labels
    • [cs.LG]Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
    • [cs.LG]k-Factorization Subspace Clustering
    • [cs.MM]Study on the Assessment of the Quality of Experience of Streaming Video
    • [cs.NE]Quality-Diversity Optimization: a novel branch of stochastic optimization
    • [cs.NI]Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge
    • [cs.RO]A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy
    • [cs.RO]Efficient Attitude Estimators: A Tutorial and Survey
    • [cs.RO]Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots
    • [cs.RO]Improved Swarm Engineering: Aligning Intuition and Analysis
    • [cs.RO]MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics
    • [cs.RO]Multiple Hypothesis Semantic Mapping for Robust Data Association
    • [cs.RO]NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments
    • [cs.RO]Neural fidelity warping for efficient robot morphology design
    • [cs.RO]On-Road Motion Planning for Automated Vehicles at Ulm University
    • [cs.RO]WSR: A WiFi Sensor for Collaborative Robotics
    • [cs.SD]I’m Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitch
    • [cs.SE]Learning to Represent Programs with Heterogeneous Graphs
    • [cs.SI]Graph-based open-ended survey on concerns related to COVID-19
    • [cs.SI]Increase of Low-Frequency Modes of User Dynamics in Online Social Networks During Overheating of Discussions
    • [cs.SI]Investigating the effects of Goodreads challenges on individuals reading habits
    • [cs.SI]The friendship paradox in real and model networks
    • [eess.AS]Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
    • [eess.IV]CEL-Net: Continuous Exposure for Extreme Low-Light Imaging
    • [eess.IV]Hierarchical Residual Attention Network for Single Image Super-Resolution
    • [eess.IV]Interpretable deep learning regression for breast density estimation on MRI
    • [eess.IV]Raw Image Deblurring
    • [eess.SP]Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval
    • [eess.SP]Channel Gain Cartography via Mixture of Experts
    • [eess.SP]Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models
    • [eess.SP]Mapping Leaf Area Index with a Smartphone and Gaussian Processes
    • [eess.SP]Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
    • [eess.SP]Multicell Power Control under Rate Constraints with Deep Learning
    • [eess.SY]Real-Time Formal Verification of Autonomous Systems With An FPGA
    • [gr-qc]Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates
    • [hep-th]Disentangling a Deep Learned Volume Formula
    • [math.OC]A Primal-Dual Framework for Decentralized Stochastic Optimization
    • [math.OC]Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance
    • [math.RA]Generalized iterated-sums signatures
    • [math.ST]Gibbs posterior concentration rates under sub-exponential type losses
    • [math.ST]The Spectral-Domain $\mathcal{W}_2$ Wasserstein Distance for Elliptical Processes and the Spectral-Domain Gelbrich Bound
    • [physics.ao-ph]Including climate system feedbacks in calculations of the social cost of methane
    • [physics.geo-ph]Retrieval of Case 2 Water Quality Parameters with Machine Learning
    • [physics.ins-det]Beyond 4D Tracking: Using Cluster Shapes for Track Seeding
    • [physics.ins-det]Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks
    • [physics.med-ph]Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach
    • [q-bio.NC]A Number Sense as an Emergent Property of the Manipulating Brain
    • [q-fin.TR]Systemic Risk in Market Microstructure of Crude Oil and Gasoline Futures Prices: A Hawkes Flocking Model Approach
    • [quant-ph]Capacity of a lossy photon channel with direct detection
    • [quant-ph]Quantum Circuit Design Search
    • [stat.AP]Comparisons of multiple treatment groups with a negative control or placebo group: Dunnett test vs. closed test procedur
    • [stat.AP]Forecasting: theory and practice
    • [stat.AP]Hurricane-blackout-heatwave Compound Hazard Risk and Resilience in a Changing Climate
    • [stat.AP]On the Environmental Variability of Offshore Wind Power
    • [stat.ME]A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering
    • [stat.ME]Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
    • [stat.ME]Bridging Bayesian, frequentist and fiducial (BFF) inferences using confidence distribution
    • [stat.ME]Online Particle Smoothing with Application to Map-matching
    • [stat.ME]Ratio of counts vs ratio of rates in Poisson processes
    • [stat.ME]Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in Scaling Factor Estimation
    • [stat.ME]Robust Sparse Bayesian Infinite Factor Models
    • [stat.ME]Sparse Correspondence Analysis for Contingency Tables
    • [stat.ME]Statistical modeling: the three cultures
    • [stat.ML]Estimation of the Mean Function of Functional Data via Deep Neural Networks
    • [stat.ML]Generalization bounds for deep learning
    • [stat.ML]Improved Convergence Rates for Non-Convex Federated Learning with Compression
    • [stat.ML]Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises

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

    • [astro-ph.EP]Planet cartography with neural learned regularization
    A. Asensio Ramos, E. Pallé
    http://arxiv.org/abs/2012.04460v1

    • [astro-ph.SR]Cluster analysis of presolar silicon carbide grains: evaluation of their classification and astrophysical implications
    Asmaa Boujibar, Samantha Howell, Shuang Zhang, Grethe Hystad, Anirudh Prabhu, Nan Liu, Thomas Stephan, Shweta Narkar, Ahmed Eleish, Shaunna M. Morrison, Robert M. Hazen, Larry R. Nittler
    http://arxiv.org/abs/2012.04009v1

    • [cond-mat.mtrl-sci]High resolution functional imaging through Lorentz transmission electron microscopy and differentiable programming
    Tao Zhou, Mathew Cherukara, Charudatta Phatak
    http://arxiv.org/abs/2012.04037v1

    • [cs.AI]A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion
    T. E. Boult, P. A. Grabowicz, D. S. Prijatelj, R. Stern, L. Holder, J. Alspector, M. Jafarzadeh, T. Ahmad, A. R. Dhamija, C. Li, S. Cruz, A. Shrivastava, C. Vondrick, W. J. Scheirer
    http://arxiv.org/abs/2012.04226v1

    • [cs.AI]CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions
    Tayfun Ates, Muhammed Samil Atesoglu, Cagatay Yigit, Ilker Kesen, Mert Kobas, Erkut Erdem, Aykut Erdem, Tilbe Goksun, Deniz Yuret
    http://arxiv.org/abs/2012.04293v1

    • [cs.AI]Combining reinforcement learning with lin-kernighan-helsgaun algorithm for the traveling salesman problem
    Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-min Li
    http://arxiv.org/abs/2012.04461v1

    • [cs.AI]Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach
    Mythreyi Velmurugan, Chun Ouyang, Catarina Moreira, Renuka Sindhgatta
    http://arxiv.org/abs/2012.04218v1

    • [cs.AI]Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives
    Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi
    http://arxiv.org/abs/2012.04216v1

    • [cs.AI]Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
    Marc Rigter, Bruno Lacerda, Nick Hawes
    http://arxiv.org/abs/2012.04626v1

    • [cs.AI]On Irrelevant Literals in Pseudo-Boolean Constraint Learning
    Danel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon
    http://arxiv.org/abs/2012.04424v1

    • [cs.AI]URoboSim — An Episodic Simulation Framework for Prospective Reasoning in Robotic Agents
    Michael Neumann, Sebastian Koralewski, Michael Beetz
    http://arxiv.org/abs/2012.04442v1

    • [cs.AI]iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes
    Bokui Shen, Fei Xia, Chengshu Li, Roberto Martín-Martín, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D’Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese
    http://arxiv.org/abs/2012.02924v2

    • [cs.AR]DeepNVM++: Cross-Layer Modeling and Optimization Framework of Non-Volatile Memories for Deep Learning
    Ahmet Inci, Mehmet Meric Isgenc, Diana Marculescu
    http://arxiv.org/abs/2012.04559v1

    • [cs.CL]A Taxonomy of Empathetic Response Intents in Human Social Conversations
    Anuradha Welivita, Pearl Pu
    http://arxiv.org/abs/2012.04080v1

    • [cs.CL]A Topological Method for Comparing Document Semantics
    Yuqi Kong, Fanchao Meng, Benjamin Carterette
    http://arxiv.org/abs/2012.04203v1

    • [cs.CL]Big Green at WNUT 2020 Shared Task-1: Relation Extraction as Contextualized Sequence Classification
    Chris Miller, Soroush Vosoughi
    http://arxiv.org/abs/2012.04538v1

    • [cs.CL]CTRLsum: Towards Generic Controllable Text Summarization
    Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong
    http://arxiv.org/abs/2012.04281v1

    • [cs.CL]CX DB8: A queryable extractive summarizer and semantic search engine
    Allen Roush
    http://arxiv.org/abs/2012.03942v1

    • [cs.CL]Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model
    Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn
    http://arxiv.org/abs/2012.04380v1

    • [cs.CL]Cross-lingual Approach to Abstractive Summarization
    Aleš Žagar, Marko Robnik-Šikonja
    http://arxiv.org/abs/2012.04307v1

    • [cs.CL]CrossNER: Evaluating Cross-Domain Named Entity Recognition
    Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung
    http://arxiv.org/abs/2012.04373v1

    • [cs.CL]Dartmouth CS at WNUT-2020 Task 2: Informative COVID-19 Tweet Classification Using BERT
    Dylan Whang, Soroush Vosoughi
    http://arxiv.org/abs/2012.04539v1

    • [cs.CL]Discourse Parsing of Contentious, Non-Convergent Online Discussions
    Stepan Zakharov, Omri Hadar, Tovit Hakak, Dina Grossman, Yifat Ben-David Kolikant, Oren Tsur
    http://arxiv.org/abs/2012.04585v1

    • [cs.CL]Distilling Knowledge from Reader to Retriever for Question Answering
    Gautier Izacard, Edouard Grave
    http://arxiv.org/abs/2012.04584v1

    • [cs.CL]Document Graph for Neural Machine Translation
    Mingzhou Xu, Liangyou Li, Derek. F. Wong, Qun Liu, Lidia S. Chao
    http://arxiv.org/abs/2012.03477v2

    • [cs.CL]Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
    Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu
    http://arxiv.org/abs/2012.04233v1

    • [cs.CL]End-to-End Chinese Parsing Exploiting Lexicons
    Yuan Zhang, Zhiyang Teng, Yue Zhang
    http://arxiv.org/abs/2012.04395v1

    • [cs.CL]Extractive Opinion Summarization in Quantized Transformer Spaces
    Stefanos Angelidis, Reinald Kim Amplayo, Yoshihiko Suhara, Xiaolan Wang, Mirella Lapata
    http://arxiv.org/abs/2012.04443v1

    • [cs.CL]Facts2Story: Controlling Text Generation by Key Facts
    Eyal Orbach, Yoav Goldberg
    http://arxiv.org/abs/2012.04332v1

    • [cs.CL]Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid ASR Systems
    Xinwei Li, Yuanyuan Zhang, Xiaodan Zhuang, Daben Liu
    http://arxiv.org/abs/2012.04094v1

    • [cs.CL]From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension
    Lingyong Yan, Xianpei Han, Le Sun, Fangchao Liu, Ning Bian
    http://arxiv.org/abs/2012.04334v1

    • [cs.CL]Globetrotter: Unsupervised Multilingual Translation from Visual Alignment
    Dídac Surís, Dave Epstein, Carl Vondrick
    http://arxiv.org/abs/2012.04631v1

    • [cs.CL]Improvements and Extensions on Metaphor Detection
    Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi
    http://arxiv.org/abs/2012.04540v1

    • [cs.CL]Improving Clinical Document Understanding on COVID-19 Research with Spark NLP
    Veysel Kocaman, David Talby
    http://arxiv.org/abs/2012.04005v1

    • [cs.CL]Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution
    David Q. Sun, Hadas Kotek, Christopher Klein, Mayank Gupta, William Li, Jason D. Williams
    http://arxiv.org/abs/2012.04169v1

    • [cs.CL]Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
    Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
    http://arxiv.org/abs/2012.04276v1

    • [cs.CL]Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
    Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
    http://arxiv.org/abs/2012.04056v1

    • [cs.CL]The Role of Interpretable Patterns in Deep Learning for Morphology
    Judit Acs, Andras Kornai
    http://arxiv.org/abs/2012.04575v1

    • [cs.CL]Unsupervised Label Refinement Improves Dataless Text Classification
    Zewei Chu, Karl Stratos, Kevin Gimpel
    http://arxiv.org/abs/2012.04194v1

    • [cs.CL]Using multiple ASR hypotheses to boost i18n NLU performance
    Charith Peris, Gokmen Oz, Khadige Abboud, Venkata sai Varada, Prashan Wanigasekara, Haidar Khan
    http://arxiv.org/abs/2012.04099v1

    • [cs.CR]Cyber Autonomy: Automating the Hacker- Self-healing, self-adaptive, automatic cyber defense systems and their impact to the industry, society and national security
    Ryan K L Ko
    http://arxiv.org/abs/2012.04405v1

    • [cs.CR]Privacy-Preserving Spam Filtering using Functional Encryption
    Sicong Wang, Naveen Karunanayake, Tham Nguyen, Suranga Seneviratne
    http://arxiv.org/abs/2012.04163v1

    • [cs.CR]When Services Computing Meets Blockchain: Challenges and Opportunities
    Xiaoyun Li, Zibin Zheng, Hong-Ning Dai
    http://arxiv.org/abs/2012.04172v1

    • [cs.CV]3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
    He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas
    http://arxiv.org/abs/2012.04355v1

    • [cs.CV]A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation
    Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Jing Xiao, Chien-Hung Liao, Shun Miao
    http://arxiv.org/abs/2012.04066v1

    • [cs.CV]Accurate 3D Object Detection using Energy-Based Models
    Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
    http://arxiv.org/abs/2012.04634v1

    • [cs.CV]Active Visual Localization in Partially Calibrated Environments
    Yingda Yin, Qingnan Fan, Fei Xia, Qihang Fang, Siyan Dong, Leonidas Guibas, Baoquan Chen
    http://arxiv.org/abs/2012.04263v1

    • [cs.CV]Bayesian Image Reconstruction using Deep Generative Models
    Razvan V Marinescu, Daniel Moyer, Polina Golland
    http://arxiv.org/abs/2012.04567v1

    • [cs.CV]CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
    Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik
    http://arxiv.org/abs/2012.04630v1

    • [cs.CV]CoShaRP: A Convex Program for Single-shot Tomographic Shape Sensing
    Ajinkya Kadu, Tristan van Leeuwen, K. Joost Batenburg
    http://arxiv.org/abs/2012.04551v1

    • [cs.CV]Confidence-aware Non-repetitive Multimodal Transformers for TextCaps
    Zhaokai Wang, Renda Bao, Qi Wu, Si Liu
    http://arxiv.org/abs/2012.03662v2

    • [cs.CV]Context-Aware Graph Convolution Network for Target Re-identification
    Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan
    http://arxiv.org/abs/2012.04298v1

    • [cs.CV]Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning
    Riccardo Volpi, Diane Larlus, Grégory Rogez
    http://arxiv.org/abs/2012.04324v1

    • [cs.CV]Cost Sensitive Optimization of Deepfake Detector
    Ivan Kukanov, Janne Karttunen, Hannu Sillanpää, Ville Hautamäki
    http://arxiv.org/abs/2012.04199v1

    • [cs.CV]Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
    Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin
    http://arxiv.org/abs/2012.04529v1

    • [cs.CV]Data Instance Prior for Transfer Learning in GANs
    Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N Balasubramanian, Balaji Krishnamurthy
    http://arxiv.org/abs/2012.04256v1

    • [cs.CV]Deformable Gabor Feature Networks for Biomedical Image Classification
    Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David Doermann, Lian Zhuo
    http://arxiv.org/abs/2012.04109v1

    • [cs.CV]Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
    Omer Dahary, Matan Jacoby, Alex M. Bronstein
    http://arxiv.org/abs/2012.04515v1

    • [cs.CV]Dynamic Anchor Learning for Arbitrary-Oriented Object Detection
    Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, Linhao Li
    http://arxiv.org/abs/2012.04150v1

    • [cs.CV]GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
    Mohammad Keshavarzi, Oladapo Afolabi, Luisa Caldas, Allen Y. Yang, Avideh Zakhor
    http://arxiv.org/abs/2012.03998v1

    • [cs.CV]Generating unseen complex scenes: are we there yet?
    Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano
    http://arxiv.org/abs/2012.04027v1

    • [cs.CV]Human Motion Tracking by Registering an Articulated Surface to 3-D Points and Normals
    Radu Horaud, Matti Niskanen, Guillaume Dewaele, Edmond Boyer
    http://arxiv.org/abs/2012.04514v1

    • [cs.CV]KNN-enhanced Deep Learning Against Noisy Labels
    Shuyu Kong, You Li, Jia Wang, Amin Rezaei, Hai Zhou
    http://arxiv.org/abs/2012.04224v1

    • [cs.CV]Learning Independent Instance Maps for Crowd Localization
    Junyu Gao, Tao Han, Yuan Yuan, Qi Wang
    http://arxiv.org/abs/2012.04164v1

    • [cs.CV]Learning Portrait Style Representations
    Sadat Shaik, Bernadette Bucher, Nephele Agrafiotis, Stephen Phillips, Kostas Daniilidis, William Schmenner
    http://arxiv.org/abs/2012.04153v1

    • [cs.CV]Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
    Yao Feng, Haiwen Feng, Michael J. Black, Timo Bolkart
    http://arxiv.org/abs/2012.04012v1

    • [cs.CV]Learning to Generate Content-Aware Dynamic Detectors
    Junyi Feng, Jiashen Hua, Baisheng Lai, Jianqiang Huang, Xi Li, Xian-sheng Hua
    http://arxiv.org/abs/2012.04265v1

    • [cs.CV]MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
    Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu
    http://arxiv.org/abs/2012.04350v1

    • [cs.CV]MERANet: Facial Micro-Expression Recognition using 3D Residual Attention Network
    Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy, Snehasis Mukherjee, Shiv Ram Dubey
    http://arxiv.org/abs/2012.04581v1

    • [cs.CV]Multi-Objective Interpolation Training for Robustness to Label Noise
    Diego Ortego, Eric Arazo, Paul Albert, Noel E. O’Connor, Kevin McGuinness
    http://arxiv.org/abs/2012.04462v1

    • [cs.CV]Multi-modal Visual Tracking: Review and Experimental Comparison
    Pengyu Zhang, Dong Wang, Huchuan Lu
    http://arxiv.org/abs/2012.04176v1

    • [cs.CV]NeRD: Neural Reflectance Decomposition from Image Collections
    Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch
    http://arxiv.org/abs/2012.03918v2

    • [cs.CV]Overcomplete Representations Against Adversarial Videos
    Shao-Yuan Lo, Jeya Maria Jose Valanarasu, Vishal M. Patel
    http://arxiv.org/abs/2012.04262v1

    • [cs.CV]Parameter Efficient Multimodal Transformers for Video Representation Learning
    Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, Yale Song
    http://arxiv.org/abs/2012.04124v1

    • [cs.CV]Perceptual Robust Hashing for Color Images with Canonical Correlation Analysis
    Xinran Li, Chuan Qin, Zhenxing Qian, Heng Yao, Xinpeng Zhang
    http://arxiv.org/abs/2012.04312v1

    • [cs.CV]Performance Analysis of Keypoint Detectors and Binary Descriptors Under Varying Degrees of Photometric and Geometric Transformations
    Shuvo Kumar Paul, Pourya Hoseini, Mircea Nicolescu, Monica Nicolescu
    http://arxiv.org/abs/2012.04135v1

    • [cs.CV]Rotation-Invariant Autoencoders for Signals on Spheres
    Suhas Lohit, Shubhendu Trivedi
    http://arxiv.org/abs/2012.04474v1

    • [cs.CV]Rotation-Invariant Point Convolution With Multiple Equivariant Alignments
    Hugues Thomas
    http://arxiv.org/abs/2012.04048v1

    • [cs.CV]SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization
    Xinhai Liu, Xinchen Liu, Zhizhong Han, Yu-Shen Liu
    http://arxiv.org/abs/2012.04439v1

    • [cs.CV]SSCNav: Confidence-Aware Semantic Scene Completion for Visual Semantic Navigation
    Yiqing Liang, Boyuan Chen, Shuran Song
    http://arxiv.org/abs/2012.04512v1

    • [cs.CV]Scale Aware Adaptation for Land-Cover Classification in Remote Sensing Imagery
    Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam
    http://arxiv.org/abs/2012.04222v1

    • [cs.CV]Semantic Image Synthesis via Efficient Class-Adaptive Normalization
    Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua, Nenghai Yu
    http://arxiv.org/abs/2012.04644v1

    • [cs.CV]Semantic and Geometric Modeling with Neural Message Passing in 3D Scene Graphs for Hierarchical Mechanical Search
    Andrey Kurenkov, Roberto Martín-Martín, Jeff Ichnowski, Ken Goldberg, Silvio Savarese
    http://arxiv.org/abs/2012.04060v1

    • [cs.CV]StacMR: Scene-Text Aware Cross-Modal Retrieval
    Andrés Mafla, Rafael Sampaio de Rezende, Lluís Gómez, Diane Larlus, Dimosthenis Karatzas
    http://arxiv.org/abs/2012.04329v1

    • [cs.CV]Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence
    Siyue Yu, Bingfeng Zhang, Jimin Xiao, Eng Gee Lim
    http://arxiv.org/abs/2012.04404v1

    • [cs.CV]SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis
    Yu Yin, Joseph P. Robinson, Songyao Jiang, Yue Bai, Can Qin, Yun Fu
    http://arxiv.org/abs/2012.04111v1

    • [cs.CV]TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
    Zhengyuan Yang, Yijuan Lu, Jianfeng Wang, Xi Yin, Dinei Florencio, Lijuan Wang, Cha Zhang, Lei Zhang, Jiebo Luo
    http://arxiv.org/abs/2012.04638v1

    • [cs.CV]Texture Transform Attention for Realistic Image Inpainting
    Yejin Kim, Manri Cheon, Junwoo Lee
    http://arxiv.org/abs/2012.04242v1

    • [cs.CV]The Lottery Ticket Hypothesis for Object Recognition
    Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry Davis, Abhinav Shrivastava
    http://arxiv.org/abs/2012.04643v1

    • [cs.CV]Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation using Structurally Regularized Deep Clustering
    Hui Tang, Xiatian Zhu, Ke Chen, Kui Jia, C. L. Philip Chen
    http://arxiv.org/abs/2012.04280v1

    • [cs.CV]UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identification
    Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian
    http://arxiv.org/abs/2012.04268v1

    • [cs.CV]Using Feature Alignment can Improve Clean Average Precision and Adversarial Robustness in Object Detection
    Weipeng Xu, Hongcheng Huang
    http://arxiv.org/abs/2012.04382v1

    • [cs.CV]VAE-Info-cGAN: Generating Synthetic Images by Combining Pixel-level and Feature-level Geospatial Conditional Inputs
    Xuerong Xiao, Swetava Ganguli, Vipul Pandey
    http://arxiv.org/abs/2012.04196v1

    • [cs.CV]Variational Interaction Information Maximization for Cross-domain Disentanglement
    HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
    http://arxiv.org/abs/2012.04251v1

    • [cs.CV]Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos
    Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari
    http://arxiv.org/abs/2012.04641v1

    • [cs.CV]Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
    Jiahua Dong, Yang Cong, Gan Sun, Yunsheng Yang, Xiaowei Xu, Zhengming Ding
    http://arxiv.org/abs/2012.04170v1

    • [cs.DC]Pattern Morphing for Efficient Graph Mining
    Kasra Jamshidi, Keval Vora
    http://arxiv.org/abs/2012.04553v1

    • [cs.DC]Patterns, anticipation and participatory futures
    Raymond Puzio, Paola Ricaurte, Charles Jeffrey Danoff, Charlotte Pierce, Analua Dutka-Chirichetti, Vitor Bruno, Hermano Cintra, Joseph Corneli
    http://arxiv.org/abs/2012.03736v1

    • [cs.DC]SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
    Hao Li, Zixuan Li, Kenli Li, Jan S. Rellermeyer, Lydia Y. Chen, Keqin Li
    http://arxiv.org/abs/2012.03550v2

    • [cs.DS]Algorithms for finding $k$ in $k$-means
    Chiranjib Bhattacharyya, Ravindran Kannan, Amit Kumar
    http://arxiv.org/abs/2012.04388v1

    • [cs.HC]Supporting User Autonomy with Multimodal Fusion to Detect when a User Needs Assistance from a Social Robot
    Alex Reneau, Jason R. Wilson
    http://arxiv.org/abs/2012.04078v1

    • [cs.IR]TADO: Time-varying Attention with Dual-Optimizer Model
    Yuexin Wu, Tianyu Gao, Tianhao Wang, Zhongmin Xiong
    http://arxiv.org/abs/2012.04558v1

    • [cs.IR]Unifying Online and Counterfactual Learning to Rank
    Harrie Oosterhuis, Maarten de Rijke
    http://arxiv.org/abs/2012.04426v1

    • [cs.IT]A Novel Transformation Approach of Shared-link Coded Caching Schemes for Multiaccess Networks
    Minquan Cheng, Dequan Liang, Kai Wan, Mingming Zhang, Giuseppe Caire
    http://arxiv.org/abs/2012.04483v1

    • [cs.IT]Conditional independence structures over four discrete random variables revisited: conditional Ingleton inequalities
    Milan Studeny
    http://arxiv.org/abs/2012.04092v1

    • [cs.IT]Construction of optimal spectral methods in phase retrieval
    Antoine Maillard, Florent Krzakala, Yue M. Lu, Lenka Zdeborová
    http://arxiv.org/abs/2012.04524v1

    • [cs.IT]Design and Analysis of Uplink and Downlink Communications for Federated Learning
    Sihui Zheng, Cong Shen, Xiang Chen
    http://arxiv.org/abs/2012.04057v1

    • [cs.IT]Discrete Signal Processing on Meet/Join Lattices
    Markus Püschel, Bastian Seifert, Chris Wendler
    http://arxiv.org/abs/2012.04358v1

    • [cs.IT]Group testing for overlapping communities
    Pavlos Nikolopoulos, Sundara Rajan Srinivasavaradhan, Tao Guo, Christina Fragouli, Suhas Diggavi
    http://arxiv.org/abs/2012.02804v1

    • [cs.IT]Multi-agent control of airplane wing stability under the flexural torsion flutter
    Dmitry S. Shalymov, Oleg N. Granichin, Zeev Volkovich, Gerhard-Wilhelm Weber
    http://arxiv.org/abs/2012.04582v1

    • [cs.IT]On the differential spectrum of a class of power functions over finite fields
    Nian Li, Yanan Wu, Xiangyong Zeng, Xiaohu Tang
    http://arxiv.org/abs/2012.04316v1

    • [cs.IT]Quantum LDPC Codes with Almost Linear Minimum Distance
    Pavel Panteleev, Gleb Kalachev
    http://arxiv.org/abs/2012.04068v1

    • [cs.IT]Wideband Beam Tracking in THz Massive MIMO Systems
    Jingbo Tan, Linglong Dai
    http://arxiv.org/abs/2012.04238v1

    • [cs.LG]A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions
    Yutong Xie, Gaoxiang Chen, Quanzheng Li
    http://arxiv.org/abs/2012.04428v1

    • [cs.LG]ATOM3D: Tasks On Molecules in Three Dimensions
    Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
    http://arxiv.org/abs/2012.04035v1

    • [cs.LG]Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
    Han-Hsien Huang, Mi-Yen Yeh
    http://arxiv.org/abs/2012.04228v1

    • [cs.LG]Active Learning: Problem Settings and Recent Developments
    Hideitsu Hino
    http://arxiv.org/abs/2012.04225v1

    • [cs.LG]Active machine learning for spatio-temporal predictions using feature embedding
    Arsam Aryandoust, Stefan Pfenninger
    http://arxiv.org/abs/2012.04407v1

    • [cs.LG]An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks
    Udo Schlegel, Daniela Oelke, Daniel A. Keim, Mennatallah El-Assady
    http://arxiv.org/abs/2012.04344v1

    • [cs.LG]An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth
    Bashar Alhnaity, Stefanos Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson
    http://arxiv.org/abs/2012.04041v1

    • [cs.LG]Analyzing Finite Neural Networks: Can We Trust Neural Tangent Kernel Theory?
    Mariia Seleznova, Gitta Kutyniok
    http://arxiv.org/abs/2012.04477v1

    • [cs.LG]Battery Model Calibration with Deep Reinforcement Learning
    Ajaykumar Unagar, Yuan Tian, Manuel Arias-Chao, Olga Fink
    http://arxiv.org/abs/2012.04010v1

    • [cs.LG]Convergence Rates for Multi-classs Logistic Regression Near Minimum
    Dwight Nwaigwe, Marek Rychlik
    http://arxiv.org/abs/2012.04576v1

    • [cs.LG]Cost-effective Machine Learning Inference Offload for Edge Computing
    Christian Makaya, Amalendu Iyer, Jonathan Salfity, Madhu Athreya, M Anthony Lewis
    http://arxiv.org/abs/2012.04063v1

    • [cs.LG]DE-RRD: A Knowledge Distillation Framework for Recommender System
    SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu
    http://arxiv.org/abs/2012.04357v1

    • [cs.LG]Data Dependent Randomized Smoothing
    Motasem Alfarra, Adel Bibi, Philip H. S. Torr, Bernard Ghanem
    http://arxiv.org/abs/2012.04351v1

    • [cs.LG]Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws
    Huaiqian You, Yue Yu, Stewart Silling, Marta D’Elia
    http://arxiv.org/abs/2012.04157v1

    • [cs.LG]Deep Energy-Based NARX Models
    Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön
    http://arxiv.org/abs/2012.04136v1

    • [cs.LG]Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning
    Angelo Ziletti, Christoph Berns, Oliver Treichel, Thomas Weber, Jennifer Liang, Stephanie Kammerath, Marion Schwaerzler, Jagatheswari Virayah, David Ruau, Xin Ma, Andreas Mattern
    http://arxiv.org/abs/2012.04545v1

    • [cs.LG]Efficient Automatic CASH via Rising Bandits
    Yang Li, Jiawei Jiang, Jinyang Gao, Yingxia Shao, Ce Zhang, Bin Cui
    http://arxiv.org/abs/2012.04371v1

    • [cs.LG]Efficient Estimation of Influence of a Training Instance
    Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui
    http://arxiv.org/abs/2012.04207v1

    • [cs.LG]Federated Multi-Task Learning for Competing Constraints
    Tian Li, Shengyuan Hu, Ahmad Beirami, Virginia Smith
    http://arxiv.org/abs/2012.04221v1

    • [cs.LG]Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model
    Christoph Schlembach, Sascha L. Schmidt, Dominik Schreyer, Linus Wunderlich
    http://arxiv.org/abs/2012.04378v1

    • [cs.LG]GMM-Based Generative Adversarial Encoder Learning
    Yuri Feigin, Hedva Spitzer, Raja Giryes
    http://arxiv.org/abs/2012.04525v1

    • [cs.LG]GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms
    Jiwei Liu, Bojan Tunguz, Gilberto Titericz
    http://arxiv.org/abs/2012.04201v1

    • [cs.LG]GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs
    Binghui Wang, Ang Li, Hai Li, Yiran Chen
    http://arxiv.org/abs/2012.04187v1

    • [cs.LG]In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
    Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
    http://arxiv.org/abs/2012.04550v1

    • [cs.LG]Learning Structured Declarative Rule Sets — A Challenge for Deep Discrete Learning
    Johannes Fürnkranz, Eyke Hüllermeier, Eneldo Loza Mencía, Michael Rapp
    http://arxiv.org/abs/2012.04377v1

    • [cs.LG]Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition
    Liyu Chen, Haipeng Luo, Chen-Yu Wei
    http://arxiv.org/abs/2012.04053v1

    • [cs.LG]Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework
    Sung-En Chang, Yanyu Li, Mengshu Sun, Runbin Shi, Hayden K. -H. So, Xuehai Qian, Yanzhi Wang, Xue Lin
    http://arxiv.org/abs/2012.04240v1

    • [cs.LG]Models, Pixels, and Rewards: Evaluating Design Trade-offs in Visual Model-Based Reinforcement Learning
    Mohammad Babaeizadeh, Mohammad Taghi Saffar, Danijar Hafner, Harini Kannan, Chelsea Finn, Sergey Levine, Dumitru Erhan
    http://arxiv.org/abs/2012.04603v1

    • [cs.LG]Molecule Optimization via Fragment-based Generative Models
    Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy, Xia Ning
    http://arxiv.org/abs/2012.04231v1

    • [cs.LG]Mutual Information Decay Curves and Hyper-Parameter Grid Search Design for Recurrent Neural Architectures
    Abhijit Mahalunkar, John D. Kelleher
    http://arxiv.org/abs/2012.04632v1

    • [cs.LG]Optimal Survival Trees
    Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki
    http://arxiv.org/abs/2012.04284v1

    • [cs.LG]Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features
    Ibrahima Ndiour, Nilesh Ahuja, Omesh Tickoo
    http://arxiv.org/abs/2012.04250v1

    • [cs.LG]RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System
    Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng
    http://arxiv.org/abs/2012.04432v1

    • [cs.LG]Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy
    Shashi Kant Gupta
    http://arxiv.org/abs/2012.04353v1

    • [cs.LG]Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately
    Fereshte Khani, Percy Liang
    http://arxiv.org/abs/2012.04104v1

    • [cs.LG]Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels
    Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
    http://arxiv.org/abs/2012.04193v1

    • [cs.LG]Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
    Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow
    http://arxiv.org/abs/2012.04171v1

    • [cs.LG]Split: Inferring Unobserved Event Probabilities for Disentangling Brand-Customer Interactions
    Ayush Chauhan, Aditya Anand, Shaddy Garg, Sunny Dhamnani, Shiv Kumar Saini
    http://arxiv.org/abs/2012.04445v1

    • [cs.LG]Stability and Identification of Random Asynchronous Linear Time-Invariant Systems
    Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar
    http://arxiv.org/abs/2012.04160v1

    • [cs.LG]Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Renormalization Group
    Qianyi Li, Haim Sompolinsky
    http://arxiv.org/abs/2012.04030v1

    • [cs.LG]Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods
    James Jordon, Alan Wilson, Mihaela van der Schaar
    http://arxiv.org/abs/2012.04580v1

    • [cs.LG]The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems
    Ahmet Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David Nellans, Diana Marculescu
    http://arxiv.org/abs/2012.04210v1

    • [cs.LG]The Tribes of Machine Learning and the Realm of Computer Architecture
    Ayaz Akram, Jason Lowe-Power
    http://arxiv.org/abs/2012.04105v1

    • [cs.LG]Towards Communication-efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things
    Yi Liu, Ruihui Zhao, Jiawen Kang, Abdulsalam Yassine, Dusit Niyato, Jialiang Peng
    http://arxiv.org/abs/2012.04436v1

    • [cs.LG]Two-Phase Learning for Overcoming Noisy Labels
    Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
    http://arxiv.org/abs/2012.04337v1

    • [cs.LG]Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
    Yingfan Wang, Haiyang Huang, Cynthia Rudin, Yaron Shaposhnik
    http://arxiv.org/abs/2012.04456v1

    • [cs.LG]k-Factorization Subspace Clustering
    Jicong Fan
    http://arxiv.org/abs/2012.04345v1

    • [cs.MM]Study on the Assessment of the Quality of Experience of Streaming Video
    Aleksandr Ivchenko, Pavel Kononyuk, Alexander Dvorkovich, Liubov Antiufrieva
    http://arxiv.org/abs/2012.04623v1

    • [cs.NE]Quality-Diversity Optimization: a novel branch of stochastic optimization
    Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, Jean-Baptiste Mouret
    http://arxiv.org/abs/2012.04322v1

    • [cs.NI]Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge
    Hailiang Zhao, Shuiguang Deng, Zijie Liu, Zhengzhe Xiang, Jianwei Yin
    http://arxiv.org/abs/2012.04158v1

    • [cs.RO]A Quality Diversity Approach to Automatically Generating Human-Robot Interaction Scenarios in Shared Autonomy
    Matthew Fontaine, Stefanos Nikolaidis
    http://arxiv.org/abs/2012.04283v1

    • [cs.RO]Efficient Attitude Estimators: A Tutorial and Survey
    Hussein Al-Jlailaty, Mohammad M. Mansour
    http://arxiv.org/abs/2012.04075v1

    • [cs.RO]Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots
    Maitreyee Wairagkar, Maria R Lima, Daniel Bazo, Richard Craig, Hugo Weissbart, Appolinaire C Etoundi, Tobias Reichenbach, Prashant Iyenger, Sneh Vaswani, Christopher James, Payam Barnaghi, Chris Melhuish, Ravi Vaidyanathan
    http://arxiv.org/abs/2012.04511v1

    • [cs.RO]Improved Swarm Engineering: Aligning Intuition and Analysis
    John Harwell, Maria Gini
    http://arxiv.org/abs/2012.04144v1

    • [cs.RO]MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics
    Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette
    http://arxiv.org/abs/2012.04375v1

    • [cs.RO]Multiple Hypothesis Semantic Mapping for Robust Data Association
    Lukas Bernreiter, Abel Gawel, Hannes Sommer, Juan Nieto, Roland Siegwart, Cesar Cadena
    http://arxiv.org/abs/2012.04423v1

    • [cs.RO]NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments
    Daniel Dugas, Juan Nieto, Roland Siegwart, Jen Jen Chung
    http://arxiv.org/abs/2012.04406v1

    • [cs.RO]Neural fidelity warping for efficient robot morphology design
    Sha Hu, Zeshi Yang, Greg Mori
    http://arxiv.org/abs/2012.04195v1

    • [cs.RO]On-Road Motion Planning for Automated Vehicles at Ulm University
    Maximilian Graf, Oliver Speidel, Jona Ruof, Klaus Dietmayer
    http://arxiv.org/abs/2012.04028v1

    • [cs.RO]WSR: A WiFi Sensor for Collaborative Robotics
    Ninad Jadhav, Weiying Wang, Diana Zhang, Oussama Khatib, Swarun Kumar, Stephanie Gil
    http://arxiv.org/abs/2012.04174v1

    • [cs.SD]I’m Sorry for Your Loss: Spectrally-Based Audio Distances Are Bad at Pitch
    Joseph Turian, Max Henry
    http://arxiv.org/abs/2012.04572v1

    • [cs.SE]Learning to Represent Programs with Heterogeneous Graphs
    Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin
    http://arxiv.org/abs/2012.04188v1

    • [cs.SI]Graph-based open-ended survey on concerns related to COVID-19
    Tatsuro Kawamoto, Takaaki Aoki, Michiko Ueda
    http://arxiv.org/abs/2012.04510v1

    • [cs.SI]Increase of Low-Frequency Modes of User Dynamics in Online Social Networks During Overheating of Discussions
    Masaki Aida, Koichi Nagatani, Chisa Takano
    http://arxiv.org/abs/2012.04252v1

    • [cs.SI]Investigating the effects of Goodreads challenges on individuals reading habits
    Yasaman Jafari, Nazanin Sabri, Behnam Bahrak
    http://arxiv.org/abs/2012.03932v2

    • [cs.SI]The friendship paradox in real and model networks
    George T. Cantwell, Alec Kirkley, M. E. J. Newman
    http://arxiv.org/abs/2012.03991v1

    • [eess.AS]Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
    Paul-Gauthier Noé, Mohammad Mohammadamini, Driss Matrouf, Titouan Parcollet, Jean-François Bonastre
    http://arxiv.org/abs/2012.04454v1

    • [eess.IV]CEL-Net: Continuous Exposure for Extreme Low-Light Imaging
    Michael Klyuchka, Evgeny Hershkovitch Neiterman, Gil Ben-Artzi
    http://arxiv.org/abs/2012.04112v1

    • [eess.IV]Hierarchical Residual Attention Network for Single Image Super-Resolution
    Parichehr Behjati, Pau Rodriguez, Armin Mehri, Isabelle Hupont, Carles Fernández Tena, Jordi Gonzalez
    http://arxiv.org/abs/2012.04578v1

    • [eess.IV]Interpretable deep learning regression for breast density estimation on MRI
    Bas H. M. van der Velden, Max A. A. Ragusi, Markus H. A. Janse, Claudette E. Loo, Kenneth G. A. Gilhuijs
    http://arxiv.org/abs/2012.04336v1

    • [eess.IV]Raw Image Deblurring
    Chih-Hung Liang, Yu-An Chen, Yueh-Cheng Liu, Winston H. Hsu
    http://arxiv.org/abs/2012.04264v1

    • [eess.SP]Active Learning Methods for Efficient Hybrid Biophysical Variable Retrieval
    ochem Verrelst, Sara Dethier, Juan Pablo Rivera, Jordi Muñoz-Marí, Gustau Camps-Valls, José Moreno
    http://arxiv.org/abs/2012.04468v1

    • [eess.SP]Channel Gain Cartography via Mixture of Experts
    Luis M. Lopez-Ramos, Yves Teganya, Baltasar Beferull-Lozano, Seung-Jun Kim
    http://arxiv.org/abs/2012.04290v1

    • [eess.SP]Gradient-based Automatic Look-Up Table Generator for Atmospheric Radiative Transfer Models
    Jorge Vicent, Luis Alonso, Luca Martino, Neus Sabater, Jochem Verrelst, Gustau Camps-Valls
    http://arxiv.org/abs/2012.04598v1

    • [eess.SP]Mapping Leaf Area Index with a Smartphone and Gaussian Processes
    Manuel Campos-Taberner, Franciso Javier García-Haro, Álvaro Moreno, María Amparo Gilabert, Sergio Sánchez-Ruiz, Beatriz Martínez, Gustau Camps-Valls
    http://arxiv.org/abs/2012.04596v1

    • [eess.SP]Multi-temporal and multi-source remote sensing image classification by nonlinear relative normalization
    Devis Tuia, Diego Marcos, Gustau Camps-Valls
    http://arxiv.org/abs/2012.04469v1

    • [eess.SP]Multicell Power Control under Rate Constraints with Deep Learning
    Yinghan Li, Shengqian Han, Chenyang Yang
    http://arxiv.org/abs/2012.03655v1

    • [eess.SY]Real-Time Formal Verification of Autonomous Systems With An FPGA
    Minh Bui, Michael Lu, Reza Hojabr, Mo Chen, Arrvindh Shriraman
    http://arxiv.org/abs/2012.04011v1

    • [gr-qc]Deep learning for clustering of continuous gravitational wave candidates II: identification of low-SNR candidates
    Banafsheh Beheshtipour, Maria Alessandra Papa
    http://arxiv.org/abs/2012.04381v1

    • [hep-th]Disentangling a Deep Learned Volume Formula
    Jessica Craven, Vishnu Jejjala, Arjun Kar
    http://arxiv.org/abs/2012.03955v1

    • [math.OC]A Primal-Dual Framework for Decentralized Stochastic Optimization
    Ketan Rajawat, Chirag Kumar
    http://arxiv.org/abs/2012.04402v1

    • [math.OC]Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance
    A. Barakat, P. Bianchi, W. Hachem, Sh. Schechtman
    http://arxiv.org/abs/2012.04002v1

    • [math.RA]Generalized iterated-sums signatures
    Joscha Diehl, Kurusch Ebrahimi-Fard, Nikolas Tapia
    http://arxiv.org/abs/2012.04597v1

    • [math.ST]Gibbs posterior concentration rates under sub-exponential type losses
    Nicholas Syring, Ryan Martin
    http://arxiv.org/abs/2012.04505v1

    • [math.ST]The Spectral-Domain $\mathcal{W}_2$ Wasserstein Distance for Elliptical Processes and the Spectral-Domain Gelbrich Bound
    Song Fang, Quanyan Zhu
    http://arxiv.org/abs/2012.04023v1

    • [physics.ao-ph]Including climate system feedbacks in calculations of the social cost of methane
    Kristina R. Colbert, Frank C. Errickson, David Anthoff, Chris E. Forest
    http://arxiv.org/abs/2012.04062v1

    • [physics.geo-ph]Retrieval of Case 2 Water Quality Parameters with Machine Learning
    Ana B. Ruescas, Gonzalo Mateo-Garcia, Gustau Camps-Valls, Martin Hieronymi
    http://arxiv.org/abs/2012.04495v1

    • [physics.ins-det]Beyond 4D Tracking: Using Cluster Shapes for Track Seeding
    Patrick J. Fox, Shangqing Huang, Joshua Isaacson, Xiangyang Ju, Benjamin Nachman
    http://arxiv.org/abs/2012.04533v1

    • [physics.ins-det]Simulating the Time Projection Chamber responses at the MPD detector using Generative Adversarial Networks
    A. Maevskiy, F. Ratnikov, A. Zinchenko, V. Riabov
    http://arxiv.org/abs/2012.04595v1

    • [physics.med-ph]Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach
    Reza Khodayi-mehr, Matthew W. Urban, Michael M. Zavlanos, Wilkins Aquino
    http://arxiv.org/abs/2012.04121v1

    • [q-bio.NC]A Number Sense as an Emergent Property of the Manipulating Brain
    Neehar Kondapaneni, Pietro Perona
    http://arxiv.org/abs/2012.04132v1

    • [q-fin.TR]Systemic Risk in Market Microstructure of Crude Oil and Gasoline Futures Prices: A Hawkes Flocking Model Approach
    Hyun Jin Jang, Kiseop Lee, Kyungsub Lee
    http://arxiv.org/abs/2012.04181v1

    • [quant-ph]Capacity of a lossy photon channel with direct detection
    K. Łukanowski, M. Jarzyna
    http://arxiv.org/abs/2012.02801v1

    • [quant-ph]Quantum Circuit Design Search
    Mohammad Pirhooshyaran, Tamas Terlaky
    http://arxiv.org/abs/2012.04046v1

    • [stat.AP]Comparisons of multiple treatment groups with a negative control or placebo group: Dunnett test vs. closed test procedur
    Ludwig A. Hothorn
    http://arxiv.org/abs/2012.04277v1

    • [stat.AP]Forecasting: theory and practice
    Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Christoph Bergmeir, Ricardo J. Bessa, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Piotr Fiszeder, Philip Hans Franses, Michael Gilliland, M. Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li, Konstantia Litsiou, Spyros Makridakis, Andrew B. Martinez, Sheik Meeran, Theodore Modis, Konstantinos Nikolopoulos, Dilek Önkal, Alessia Paccagnini, Ioannis Panapakidis, Jose M. Pavía, Manuela Pedio, Diego J. Pedregal, Pierre Pinson, Patrícia Ramos, David E. Rapach, J. James Reade, Bahman Rostami-Tabar, Michał Rubaszek, Georgios Sermpinis, Han Lin Shang, Evangelos Spiliotis, Aris A. Syntetos, Priyanga Dilini Talagala, Thiyanga S. Talagala, Len Tashman, Dimitrios Thomakos, Thordis Thorarinsdottir, Ezio Todini, Juan Ramón Trapero Arenas, Xiaoqian Wang, Robert L. Winkler, Alisa Yusupova, Florian Ziel
    http://arxiv.org/abs/2012.03854v1

    • [stat.AP]Hurricane-blackout-heatwave Compound Hazard Risk and Resilience in a Changing Climate
    Kairui Feng, Ouyang Min, Ning Lin
    http://arxiv.org/abs/2012.04452v1

    • [stat.AP]On the Environmental Variability of Offshore Wind Power
    Behzad Golparvar, Petros Papadopoulos, Ahmed Aziz Ezzat, Ruo-Qian Wang
    http://arxiv.org/abs/2012.04549v1

    • [stat.ME]A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering
    Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
    http://arxiv.org/abs/2012.04620v1

    • [stat.ME]Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
    Dhruva Kartik, Neeraj Sood, Urbashi Mitra, Tara Javidi
    http://arxiv.org/abs/2012.04137v1

    • [stat.ME]Bridging Bayesian, frequentist and fiducial (BFF) inferences using confidence distribution
    Suzanne Thornton, Minge Xie
    http://arxiv.org/abs/2012.04464v1

    • [stat.ME]Online Particle Smoothing with Application to Map-matching
    Samuel Duffield, Sumeetpal S. Singh
    http://arxiv.org/abs/2012.04602v1

    • [stat.ME]Ratio of counts vs ratio of rates in Poisson processes
    Giulio D’Agostini
    http://arxiv.org/abs/2012.04455v1

    • [stat.ME]Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in Scaling Factor Estimation
    Yan Li, Kun Chen, Jun Yan, Xuebin Zhang
    http://arxiv.org/abs/2012.04200v1

    • [stat.ME]Robust Sparse Bayesian Infinite Factor Models
    Jaejoon Lee, Jaeyong Lee
    http://arxiv.org/abs/2012.04315v1

    • [stat.ME]Sparse Correspondence Analysis for Contingency Tables
    Ruiping Liu, Ndeye Niang, Gilbert Saporta, Huiwen Wang
    http://arxiv.org/abs/2012.04271v1

    • [stat.ME]Statistical modeling: the three cultures
    Adel Daoud, Devdatt Dubhashi
    http://arxiv.org/abs/2012.04570v1

    • [stat.ML]Estimation of the Mean Function of Functional Data via Deep Neural Networks
    Shuoyang Wang, Guanqun Cao, Zuofeng Shang
    http://arxiv.org/abs/2012.04573v1

    • [stat.ML]Generalization bounds for deep learning
    Guillermo Valle-Pérez, Ard A. Louis
    http://arxiv.org/abs/2012.04115v1

    • [stat.ML]Improved Convergence Rates for Non-Convex Federated Learning with Compression
    Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon
    http://arxiv.org/abs/2012.04061v1

    • [stat.ML]Social Media Unrest Prediction during the {COVID}-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises
    Dirk Johannßen, Chris Biemann
    http://arxiv.org/abs/2012.04586v1