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