astro-ph.GA - 星系天体物理学

    cond-mat.mtrl-sci - 材料科学 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CE - 计算工程、 金融和科学 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.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 math.NA - 数值分析 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.med-ph - 医学物理学 q-bio.PE - 人口与发展 q-bio.QM - 定量方法 q-fin.PM - 投资组合管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.GA]Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes
    • [cond-mat.mtrl-sci]Deep Learning Segmentation of Complex Features in Atomic-Resolution Phase Contrast Transmission Electron Microscopy Images
    • [cs.AI]AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice
    • [cs.AI]DAX: Deep Argumentative eXplanation for Neural Networks
    • [cs.AI]Equivalent Causal Models
    • [cs.AI]Flatland-RL : Multi-Agent Reinforcement Learning on Trains
    • [cs.AI]GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification
    • [cs.AI]Influence-Driven Explanations for Bayesian Network Classifiers
    • [cs.AI]Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition
    • [cs.AI]Neurosymbolic AI: The 3rd Wave
    • [cs.AI]On the Lattice of Conceptual Measurements
    • [cs.AR]A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors
    • [cs.CE]A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
    • [cs.CL]A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality
    • [cs.CL]An Event Correlation Filtering Method for Fake News Detection
    • [cs.CL]Approches quantitatives de l’analyse des pr{é}dictions en traduction automatique neuronale (TAN)
    • [cs.CL]As good as new. How to successfully recycle English GPT-2 to make models for other languages
    • [cs.CL]Automatic Standardization of Colloquial Persian
    • [cs.CL]Causal-BERT : Language models for causality detection between events expressed in text
    • [cs.CL]Cross-lingual Word Sense Disambiguation using mBERT Embeddings with Syntactic Dependencies
    • [cs.CL]Direct multimodal few-shot learning of speech and images
    • [cs.CL]Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
    • [cs.CL]Exploring Pair-Wise NMT for Indian Languages
    • [cs.CL]Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU
    • [cs.CL]Infusing Finetuning with Semantic Dependencies
    • [cs.CL]Longitudinal Citation Prediction using Temporal Graph Neural Networks
    • [cs.CL]Multi-Sense Language Modelling
    • [cs.CL]Normalization of Different Swedish Dialects Spoken in Finland
    • [cs.CL]Rewriter-Evaluator Framework for Neural Machine Translation
    • [cs.CL]Segmenting Natural Language Sentences via Lexical Unit Analysis
    • [cs.CL]Speech Recognition for Endangered and Extinct Samoyedic languages
    • [cs.CL]Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics
    • [cs.CR]Composite Adversarial Attacks
    • [cs.CR]Explainable Link Prediction for Privacy-Preserving Contact Tracing
    • [cs.CV]A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
    • [cs.CV]Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
    • [cs.CV]An Asynchronous Kalman Filter for Hybrid Event Cameras
    • [cs.CV]Are Fewer Labels Possible for Few-shot Learning?
    • [cs.CV]Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition
    • [cs.CV]AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking
    • [cs.CV]Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion
    • [cs.CV]Can we detect harmony in artistic compositions? A machine learning approach
    • [cs.CV]Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation
    • [cs.CV]Concept Generalization in Visual Representation Learning
    • [cs.CV]Convolutional Neural Networks for Multispectral Image Cloud Masking
    • [cs.CV]DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
    • [cs.CV]Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks
    • [cs.CV]Demystifying Pseudo-LiDAR for Monocular 3D Object Detection
    • [cs.CV]Developing Motion Code Embedding for Action Recognition in Videos
    • [cs.CV]Direct Depth Learning Network for Stereo Matching
    • [cs.CV]E3D: Event-Based 3D Shape Reconstruction
    • [cs.CV]Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning
    • [cs.CV]Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
    • [cs.CV]Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
    • [cs.CV]Full Matching on Low Resolution for Disparity Estimation
    • [cs.CV]Full-Glow: Fully conditional Glow for more realistic image generation
    • [cs.CV]GAN Steerability without optimization
    • [cs.CV]Geometric Adversarial Attacks and Defenses on 3D Point Clouds
    • [cs.CV]HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents
    • [cs.CV]Image Captioning with Context-Aware Auxiliary Guidance
    • [cs.CV]Image Matching with Scale Adjustment
    • [cs.CV]Interactive Fusion of Multi-level Features for Compositional Activity Recognition
    • [cs.CV]Investigating Bias in Image Classification using Model Explanations
    • [cs.CV]Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision
    • [cs.CV]Look Before you Speak: Visually Contextualized Utterances
    • [cs.CV]MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos
    • [cs.CV]MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias
    • [cs.CV]Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
    • [cs.CV]One for More: Selecting Generalizable Samples for Generalizable ReID Model
    • [cs.CV]OneNet: Towards End-to-End One-Stage Object Detection
    • [cs.CV]Portrait Neural Radiance Fields from a Single Image
    • [cs.CV]R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection
    • [cs.CV]Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
    • [cs.CV]Robust Consistent Video Depth Estimation
    • [cs.CV]SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers
    • [cs.CV]SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
    • [cs.CV]Scene Text Detection with Scribble Lines
    • [cs.CV]Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation
    • [cs.CV]Sylvester Matrix Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics
    • [cs.CV]Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes
    • [cs.CV]Tensor Composition Net for Visual Relationship Prediction
    • [cs.CV]Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction
    • [cs.CV]ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
    • [cs.CV]Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
    • [cs.CV]iNeRF: Inverting Neural Radiance Fields for Pose Estimation
    • [cs.CY]Artificial Intelligence at the Edge
    • [cs.CY]Evolution of Digital Advertising Strategies during the 2020 US Presidential Primary
    • [cs.CY]Preference-Based Privacy Trading
    • [cs.DC]Building Graphs at a Large Scale: Union Find Shuffle
    • [cs.DC]INetCEP: In-Network Complex Event Processing for Information-Centric Networking
    • [cs.DC]Optimising cost vs accuracy of decentralised analytics in fog computing environments
    • [cs.DC]Scheduling Beyond CPUs for HPC
    • [cs.DC]Serverless Computing: Behind the Scenes of Major Platforms
    • [cs.DC]ssd-sgd: communication sparsification for distributed deep learning training
    • [cs.GT]Hindsight and Sequential Rationality of Correlated Play
    • [cs.GT]Persuading Voters in District-based Elections
    • [cs.HC]Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts
    • [cs.HC]Facial expressions can detect Parkinson’s disease: preliminary evidence from videos collected online
    • [cs.IR]An Integrated Search Framework for Leveraging the Knowledge-Based Web Ecosystem
    • [cs.IR]Bew: Towards Answering Business-Entity-Related Web Questions
    • [cs.IR]Cold-start Sequential Recommendation via Meta Learner
    • [cs.IR]Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation
    • [cs.IT]Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays
    • [cs.IT]Intelligent Reflecting Surface-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design
    • [cs.IT]On the MIMO Secrecy Capacity of MIMO Wiretap Channels: Convex Reformulation and Efficient Numerical Methods
    • [cs.IT]On the Metric and Computation of PAC Codes
    • [cs.IT]Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications
    • [cs.LG]A Study of Condition Numbers for First-Order Optimization
    • [cs.LG]Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
    • [cs.LG]An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
    • [cs.LG]Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
    • [cs.LG]Appliance-Level Monitoring with Micro-Moment Smart Plugs
    • [cs.LG]Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG
    • [cs.LG]Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
    • [cs.LG]Categorical Perception: A Groundwork for Deep Learning
    • [cs.LG]Communication-Computation Efficient Secure Aggregation for Federated Learning
    • [cs.LG]Contrastive Predictive Coding for Human Activity Recognition
    • [cs.LG]DA-HGT: Domain Adaptive Heterogeneous Graph Transformer
    • [cs.LG]DONE: Distributed Newton-type Method for Federated Edge Learning
    • [cs.LG]Data and its (dis)contents: A survey of dataset development and use in machine learning research
    • [cs.LG]Data-Driven Intersection Management Solutions for Mixed Traffic of Human-Driven and Connected and Automated Vehicles
    • [cs.LG]Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks
    • [cs.LG]Denoising-based Turbo Message Passing for Compressed Video Background Subtraction
    • [cs.LG]Ensemble Squared: A Meta AutoML System
    • [cs.LG]Factor Graph Molecule Network for Structure Elucidation
    • [cs.LG]Flexible Few-Shot Learning with Contextual Similarity
    • [cs.LG]Generative Deep Learning Techniques for Password Generation
    • [cs.LG]HpGAN: Sequence Search with Generative Adversarial Networks
    • [cs.LG]Imitating Interactive Intelligence
    • [cs.LG]Improving healthcare access management by predicting patient no-show behaviour
    • [cs.LG]Know Your Limits: Monotonicity & Softmax Make Neural Classifiers Overconfident on OOD Data
    • [cs.LG]Large-Scale Generative Data-Free Distillation
    • [cs.LG]Learn what you can’t learn: Regularized Ensembles for Transductive Out-of-distribution Detection
    • [cs.LG]Learning Graphons via Structured Gromov-Wasserstein Barycenters
    • [cs.LG]MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences
    • [cs.LG]MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
    • [cs.LG]Modeling Disease Progression Trajectories from Longitudinal Observational Data
    • [cs.LG]Neural Rate Control for Video Encoding using Imitation Learning
    • [cs.LG]Notes on Deep Learning Theory
    • [cs.LG]On the emergence of tetrahedral symmetry in the final and penultimate layers of neural network classifiers
    • [cs.LG]Optimal oracle inequalities for solving projected fixed-point equations
    • [cs.LG]Physics-consistent deep learning for structural topology optimization
    • [cs.LG]Privacy Amplification by Decentralization
    • [cs.LG]Recurrence of Optimum for Training Weight and Activation Quantized Networks
    • [cs.LG]Recurrent Point Review Models
    • [cs.LG]Research Challenges in Designing Differentially Private Text Generation Mechanisms
    • [cs.LG]SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification
    • [cs.LG]Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
    • [cs.LG]Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
    • [cs.LG]Slimmable Generative Adversarial Networks
    • [cs.LG]Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation
    • [cs.LG]The Representation Power of Neural Networks: Breaking the Curse of Dimensionality
    • [cs.LG]Thompson Sampling for CVaR Bandits
    • [cs.LG]Transfer Learning for Efficient Iterative Safety Validation
    • [cs.LG]Understanding Learned Reward Functions
    • [cs.LG]Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network
    • [cs.NE]Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix)
    • [cs.NI]Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications
    • [cs.RO]Adapting the Human: Leveraging Wearable Technology in HRI
    • [cs.RO]Feasibility Assessment of a Cost-Effective Two-Wheel Kian-I Mobile Robot for Autonomous Navigation
    • [cs.RO]Kineverse: A Symbolic Articulation Model Framework for Model-Generic Software for Mobile Manipulation
    • [cs.RO]LaSeSOM: A Latent Representation Framework for Semantic Soft Object Manipulation
    • [cs.RO]Multi-expert learning of adaptive legged locomotion
    • [cs.RO]Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions
    • [cs.RO]Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation
    • [cs.RO]Topological Planning with Transformers for Vision-and-Language Navigation
    • [cs.RO]Visual Perception Generalization for Visual-and-Language Navigation via Meta-Learning
    • [cs.RO]Wi-Fi Based Indoor Positioning System For Mobile Robots By Using Particle Filter
    • [cs.SD]Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition
    • [cs.SI]Bipartite Graph Embedding via Mutual Information Maximization
    • [cs.SI]Social Media Alerts can Improve, but not Replace Hydrological Models for Forecasting Floods
    • [eess.AS]Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization
    • [eess.AS]Learning Multiple Sound Source 2D Localization
    • [eess.IV]3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review
    • [eess.IV]Automatic Generation of Interpretable Lung Cancer Scoring Models from Chest X-Ray Images
    • [eess.IV]COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Diagnosis and Severity Assessment of COVID-19
    • [eess.IV]Deep learning methods for SAR image despeckling: trends and perspectives
    • [eess.IV]Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images
    • [eess.IV]Effect of Different Batch Size Parameters on Predicting of COVID19 Cases
    • [eess.IV]Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI
    • [eess.IV]Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
    • [eess.IV]Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network
    • [eess.IV]Unsupervised Adversarial Domain Adaptation For Barrett’s Segmentation
    • [eess.SP]Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers
    • [eess.SP]Spatial noise-aware temperature retrieval from infrared sounder data
    • [eess.SP]T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis
    • [eess.SY]Electric Vehicle Battery Remaining Charging Time Estimation Considering Charging Accuracy and Charging Profile Prediction
    • [math.NA]From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit
    • [math.OC]A generalised log-determinant regularizer for online semi-definite programming and its applications
    • [math.OC]Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
    • [math.OC]Hardness results for Multimarginal Optimal Transport problems
    • [math.PR]Detecting Structured Signals in Ising Models
    • [math.ST]Bayes posterior convergence for loss functions via almost additive Thermodynamic Formalism
    • [math.ST]Estimation of first-order sensitivity indices based on symmetric reflected Vietoris-Rips complexes areas
    • [math.ST]Gibbs posterior concentration rates under sub-exponential type losses
    • [math.ST]Low-rank matrix estimation in multi-response regression with measurement errors: Statistical and computational guarantees
    • [math.ST]Searching for genetic interactions in complex disease by using distance correlation
    • [math.ST]Spectral analysis of some random matrices based schemes for stable and robust nonparametric and functional regression estimators
    • [physics.med-ph]Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
    • [q-bio.PE]A modified Susceptible-Infected-Recovered model for observed under-reported incidence data
    • [q-bio.QM]Utilising Graph Machine Learning within Drug Discovery and Development
    • [q-fin.PM]Modeling asset allocation strategies and a new portfolio performance score
    • [quant-ph]Encoding Classical Information in Gauge Subsystems of Quantum Codes
    • [quant-ph]Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
    • [stat.AP]A Bayesian hierarchical modeling approach to combining multiple data sources: A case study in size estimation
    • [stat.AP]Estimating heterogeneous wildfire effects using synthetic controls and satellite remote sensing
    • [stat.AP]Towards a global dynamic wind atlas: A multi-country validation of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the Global Wind Atlas
    • [stat.AP]Urban Space Insights Extraction using Acoustic Histogram Information
    • [stat.CO]PoolTestR: An R package for estimating prevalence and regression modelling with pooled samples
    • [stat.ME]A Convex Programming Solution Based Debiased Estimator for Quantile with Missing Response and High-dimensional Covariables
    • [stat.ME]A partial least squares approach for function-on-function interaction regression
    • [stat.ME]Cluster analysis and outlier detection with missing data
    • [stat.ME]Context-dependent Ranking and Selection under a Bayesian Framework
    • [stat.ME]Efficient Learning for Clustering and Optimizing Context-Dependent Designs
    • [stat.ME]Exact Bayesian inference for level-set Cox processes
    • [stat.ME]Leveraging vague prior information in general models via iteratively constructed Gamma-minimax estimators
    • [stat.ME]Preprocessing noisy functional data using factor models
    • [stat.ME]The Promises of Parallel Outcomes
    • [stat.ME]Uncertainty quantification for fault slip inversion
    • [stat.ME]What Were They Thinking? Pharmacologic priors implicit in a choice of 3+3 dose-escalation design
    • [stat.ML]Asymptotic study of stochastic adaptive algorithm in non-convex landscape
    • [stat.ML]Hard and Soft EM in Bayesian Network Learning from Incomplete Data
    • [stat.ML]Large Non-Stationary Noisy Covariance Matrices: A Cross-Validation Approach
    • [stat.ML]On Shapley Credit Allocation for Interpretability

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

    • [astro-ph.GA]Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes
    Ben Moews, Romeel Davé, Sourav Mitra, Sultan Hassan, Weiguang Cui
    http://arxiv.org/abs/2012.05820v1

    • [cond-mat.mtrl-sci]Deep Learning Segmentation of Complex Features in Atomic-Resolution Phase Contrast Transmission Electron Microscopy Images
    Robbie Sadre, Colin Ophus, Anstasiia Butko, Gunther H Weber
    http://arxiv.org/abs/2012.05322v1

    • [cs.AI]AI Driven Knowledge Extraction from Clinical Practice Guidelines: Turning Research into Practice
    Musarrat Hussain, Jamil Hussain, Taqdir Ali, Fahad Ahmed Satti, Sungyoung Lee
    http://arxiv.org/abs/2012.05489v1

    • [cs.AI]DAX: Deep Argumentative eXplanation for Neural Networks
    Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni
    http://arxiv.org/abs/2012.05766v1

    • [cs.AI]Equivalent Causal Models
    Sander Beckers
    http://arxiv.org/abs/2012.05603v1

    • [cs.AI]Flatland-RL : Multi-Agent Reinforcement Learning on Trains
    Sharada Mohanty, Erik Nygren, Florian Laurent, Manuel Schneider, Christian Scheller, Nilabha Bhattacharya, Jeremy Watson, Adrian Egli, Christian Eichenberger, Christian Baumberger, Gereon Vienken, Irene Sturm, Guillaume Sartoretti, Giacomo Spigler
    http://arxiv.org/abs/2012.05893v1

    • [cs.AI]GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification
    Daoming Zong, Shiliang Sun
    http://arxiv.org/abs/2012.05860v1

    • [cs.AI]Influence-Driven Explanations for Bayesian Network Classifiers
    Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni
    http://arxiv.org/abs/2012.05773v1

    • [cs.AI]Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition
    Ying Zhou, Xuefeng Liang, Yu Gu, Yifei Yin, Longshan Yao
    http://arxiv.org/abs/2012.05429v1

    • [cs.AI]Neurosymbolic AI: The 3rd Wave
    Artur d’Avila Garcez, Luis C. Lamb
    http://arxiv.org/abs/2012.05876v1

    • [cs.AI]On the Lattice of Conceptual Measurements
    Tom Hanika, Johannes Hirth
    http://arxiv.org/abs/2012.05267v1

    • [cs.AR]A Custom 7nm CMOS Standard Cell Library for Implementing TNN-based Neuromorphic Processors
    Harideep Nair, Prabhu Vellaisamy, Santha Bhasuthkar, John Paul Shen
    http://arxiv.org/abs/2012.05419v1

    • [cs.CE]A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
    Michael G. Kapteyn, Jacob V. R. Pretorius, Karen E. Willcox
    http://arxiv.org/abs/2012.05841v1

    • [cs.CL]A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality
    Shubhanshu Mishra, Daniel Collier
    http://arxiv.org/abs/2012.05444v1

    • [cs.CL]An Event Correlation Filtering Method for Fake News Detection
    Hao Li, Huan Wang, Guanghua Liu
    http://arxiv.org/abs/2012.05491v1

    • [cs.CL]Approches quantitatives de l’analyse des pr{é}dictions en traduction automatique neuronale (TAN)
    Maria Zimina-Poirot, Nicolas Ballier, Jean-Baptiste Yunès
    http://arxiv.org/abs/2012.05541v1

    • [cs.CL]As good as new. How to successfully recycle English GPT-2 to make models for other languages
    Wietse de Vries, Malvina Nissim
    http://arxiv.org/abs/2012.05628v1

    • [cs.CL]Automatic Standardization of Colloquial Persian
    Mohammad Sadegh Rasooli, Farzane Bakhtyari, Fatemeh Shafiei, Mahsa Ravanbakhsh, Chris Callison-Burch
    http://arxiv.org/abs/2012.05879v1

    • [cs.CL]Causal-BERT : Language models for causality detection between events expressed in text
    Vivek Khetan, Roshni Ramnani, Mayuresh Anand, Shubhashis Sengupta, Andrew E. Fano
    http://arxiv.org/abs/2012.05453v1

    • [cs.CL]Cross-lingual Word Sense Disambiguation using mBERT Embeddings with Syntactic Dependencies
    Xingran Zhu
    http://arxiv.org/abs/2012.05300v1

    • [cs.CL]Direct multimodal few-shot learning of speech and images
    Leanne Nortje, Herman Kamper
    http://arxiv.org/abs/2012.05680v1

    • [cs.CL]Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition
    Yangming Li, Lemao Liu, Shuming Shi
    http://arxiv.org/abs/2012.05426v1

    • [cs.CL]Exploring Pair-Wise NMT for Indian Languages
    Kartheek Akella, Sai Himal Allu, Sridhar Suresh Ragupathi, Aman Singhal, Zeeshan Khan, Vinay P. Namboodiri, C V Jawahar
    http://arxiv.org/abs/2012.05786v1

    • [cs.CL]Generative Adversarial Networks for Annotated Data Augmentation in Data Sparse NLU
    Olga Golovneva, Charith Peris
    http://arxiv.org/abs/2012.05302v1

    • [cs.CL]Infusing Finetuning with Semantic Dependencies
    Zhaofeng Wu, Hao Peng, Noah A. Smith
    http://arxiv.org/abs/2012.05395v1

    • [cs.CL]Longitudinal Citation Prediction using Temporal Graph Neural Networks
    Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein
    http://arxiv.org/abs/2012.05742v1

    • [cs.CL]Multi-Sense Language Modelling
    Andrea Lekkas, Peter Schneider-Kamp, Isabelle Augenstein
    http://arxiv.org/abs/2012.05776v1

    • [cs.CL]Normalization of Different Swedish Dialects Spoken in Finland
    Mika Hämäläinen, Niko Partanen, Khalid Alnajjar
    http://arxiv.org/abs/2012.05318v1

    • [cs.CL]Rewriter-Evaluator Framework for Neural Machine Translation
    Yangming Li, Kaisheng Yao
    http://arxiv.org/abs/2012.05414v1

    • [cs.CL]Segmenting Natural Language Sentences via Lexical Unit Analysis
    Yangming Li, Lemao Liu, Shuming Shi
    http://arxiv.org/abs/2012.05418v1

    • [cs.CL]Speech Recognition for Endangered and Extinct Samoyedic languages
    Niko Partanen, Mika Hämäläinen, Tiina Klooster
    http://arxiv.org/abs/2012.05331v1

    • [cs.CL]Towards Coinductive Models for Natural Language Understanding. Bringing together Deep Learning and Deep Semantics
    Wlodek W. Zadrozny
    http://arxiv.org/abs/2012.05715v1

    • [cs.CR]Composite Adversarial Attacks
    Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue
    http://arxiv.org/abs/2012.05434v1

    • [cs.CR]Explainable Link Prediction for Privacy-Preserving Contact Tracing
    Balaji Ganesan, Hima Patel, Sameep Mehta
    http://arxiv.org/abs/2012.05516v1

    • [cs.CV]A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
    Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang
    http://arxiv.org/abs/2012.05400v1

    • [cs.CV]Amodal Segmentation Based on Visible Region Segmentation and Shape Prior
    Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao
    http://arxiv.org/abs/2012.05598v1

    • [cs.CV]An Asynchronous Kalman Filter for Hybrid Event Cameras
    Ziwei Wang, Yonhon Ng, Cedric Scheerlinck, Robert Mahony
    http://arxiv.org/abs/2012.05590v1

    • [cs.CV]Are Fewer Labels Possible for Few-shot Learning?
    Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Nenghai Yu
    http://arxiv.org/abs/2012.05899v1

    • [cs.CV]Auto-MVCNN: Neural Architecture Search for Multi-view 3D Shape Recognition
    Zhaoqun Li, Hongren Wang, Jinxing Li
    http://arxiv.org/abs/2012.05493v1

    • [cs.CV]AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking
    Xinshuo Weng, Kris Kitani
    http://arxiv.org/abs/2012.05894v1

    • [cs.CV]Automatic Diagnosis of Malaria from Thin Blood Smear Images using Deep Convolutional Neural Network with Multi-Resolution Feature Fusion
    Tanvir Mahmud, Shaikh Anowarul Fattah
    http://arxiv.org/abs/2012.05350v1

    • [cs.CV]Can we detect harmony in artistic compositions? A machine learning approach
    Adam Vandor, Marie van Vollenhoven, Gerhard Weiss, Gerasimos Spanakis
    http://arxiv.org/abs/2012.05633v1

    • [cs.CV]Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation
    Naif Alshammari, Samet Akcay, Toby P. Breckon
    http://arxiv.org/abs/2012.05304v1

    • [cs.CV]Concept Generalization in Visual Representation Learning
    Mert Bulent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari
    http://arxiv.org/abs/2012.05649v1

    • [cs.CV]Convolutional Neural Networks for Multispectral Image Cloud Masking
    Gonzalo Mateo-García, Luis Gómez-Chova, Gustau Camps-Valls
    http://arxiv.org/abs/2012.05325v1

    • [cs.CV]DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors
    Jiahui Huang, Shi-Sheng Huang, Haoxuan Song, Shi-Min Hu
    http://arxiv.org/abs/2012.05551v1

    • [cs.CV]Debiased-CAM for bias-agnostic faithful visual explanations of deep convolutional networks
    Wencan Zhang, Mariella Dimiccoli, Brian Y. Lim
    http://arxiv.org/abs/2012.05567v1

    • [cs.CV]Demystifying Pseudo-LiDAR for Monocular 3D Object Detection
    Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci
    http://arxiv.org/abs/2012.05796v1

    • [cs.CV]Developing Motion Code Embedding for Action Recognition in Videos
    Maxat Alibayev, David Paulius, Yu Sun
    http://arxiv.org/abs/2012.05438v1

    • [cs.CV]Direct Depth Learning Network for Stereo Matching
    Hong Zhang, Haojie Li, Shenglun Chen, Tiantian Yan, Zhihui Wang, Guo Lu, Wanli Ouyang
    http://arxiv.org/abs/2012.05570v1

    • [cs.CV]E3D: Event-Based 3D Shape Reconstruction
    Alexis Baudron, Zihao W. Wang, Oliver Cossairt, Aggelos K. Katsaggelos
    http://arxiv.org/abs/2012.05214v2

    • [cs.CV]Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning
    Prathmesh Madhu, Angel Villar-Corrales, Ronak Kosti, Torsten Bendschus, Corinna Reinhardt, Peter Bell, Andreas Maier, Vincent Christlein
    http://arxiv.org/abs/2012.05616v1

    • [cs.CV]Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
    Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu
    http://arxiv.org/abs/2012.05608v1

    • [cs.CV]Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
    Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu
    http://arxiv.org/abs/2012.05440v1

    • [cs.CV]Full Matching on Low Resolution for Disparity Estimation
    Hong Zhang, Shenglun Chen, Zhihui Wang, Haojie Li, Wanli Ouyang
    http://arxiv.org/abs/2012.05586v1

    • [cs.CV]Full-Glow: Fully conditional Glow for more realistic image generation
    Moein Sorkhei, Gustav Eje Henter, Hedvig Kjellström
    http://arxiv.org/abs/2012.05846v1

    • [cs.CV]GAN Steerability without optimization
    Nurit Spingarn-Eliezer, Ron Banner, Tomer Michaeli
    http://arxiv.org/abs/2012.05328v1

    • [cs.CV]Geometric Adversarial Attacks and Defenses on 3D Point Clouds
    Itai Lang, Uriel Kotlicki, Shai Avidan
    http://arxiv.org/abs/2012.05657v1

    • [cs.CV]HRCenterNet: An Anchorless Approach to Chinese Character Segmentation in Historical Documents
    Chia-Wei Tang, Chao-Lin Liu, Po-Sen Chiu
    http://arxiv.org/abs/2012.05739v1

    • [cs.CV]Image Captioning with Context-Aware Auxiliary Guidance
    Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan
    http://arxiv.org/abs/2012.05545v1

    • [cs.CV]Image Matching with Scale Adjustment
    Yves Dufournaud, Cordelia Schmid, Radu Horaud
    http://arxiv.org/abs/2012.05582v1

    • [cs.CV]Interactive Fusion of Multi-level Features for Compositional Activity Recognition
    Rui Yan, Lingxi Xie, Xiangbo Shu, Jinhui Tang
    http://arxiv.org/abs/2012.05689v1

    • [cs.CV]Investigating Bias in Image Classification using Model Explanations
    Schrasing Tong, Lalana Kagal
    http://arxiv.org/abs/2012.05463v1

    • [cs.CV]Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision
    Risheng Liu, Zhu Liu, Pan Mu, Zhouchen Lin, Xin Fan, Zhongxuan Luo
    http://arxiv.org/abs/2012.05435v1

    • [cs.CV]Look Before you Speak: Visually Contextualized Utterances
    Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid
    http://arxiv.org/abs/2012.05710v1

    • [cs.CV]MO-LTR: Multiple Object Localization, Tracking, and Reconstruction from Monocular RGB Videos
    Kejie Li, Hamid Rezatofighi, Ian Reid
    http://arxiv.org/abs/2012.05360v1

    • [cs.CV]MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias
    Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan, Ahmed Hussein Abdelaziz, Nicholas Apostoloff
    http://arxiv.org/abs/2012.05225v2

    • [cs.CV]Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
    Naif Alshammari, Samet Akcay, Toby P. Breckon
    http://arxiv.org/abs/2012.05320v1

    • [cs.CV]One for More: Selecting Generalizable Samples for Generalizable ReID Model
    Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun
    http://arxiv.org/abs/2012.05475v1

    • [cs.CV]OneNet: Towards End-to-End One-Stage Object Detection
    Peize Sun, Yi Jiang, Enze Xie, Zehuan Yuan, Changhu Wang, Ping Luo
    http://arxiv.org/abs/2012.05780v1

    • [cs.CV]Portrait Neural Radiance Fields from a Single Image
    Chen Gao, Yichang Shih, Wei-Sheng Lai, Chia-Kai Liang, Jia-Bin Huang
    http://arxiv.org/abs/2012.05903v1

    • [cs.CV]R-AGNO-RPN: A LIDAR-Camera Region Deep Network for Resolution-Agnostic Detection
    Ruddy Théodose, Dieumet Denis, Thierry Chateau, Vincent Frémont, Paul Checchin
    http://arxiv.org/abs/2012.05740v1

    • [cs.CV]Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement
    Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo
    http://arxiv.org/abs/2012.05609v1

    • [cs.CV]Robust Consistent Video Depth Estimation
    Johannes Kopf, Xuejian Rong, Jia-Bin Huang
    http://arxiv.org/abs/2012.05901v1

    • [cs.CV]SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers
    Bingyao Huang, Haibin Ling
    http://arxiv.org/abs/2012.05858v1

    • [cs.CV]SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains
    Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas Li
    http://arxiv.org/abs/2012.05535v1

    • [cs.CV]Scene Text Detection with Scribble Lines
    Wenqing Zhang, Yang Qiu, Minghui Liao, Rui Zhang, Xiaolin Wei, Xiang Bai
    http://arxiv.org/abs/2012.05030v2

    • [cs.CV]Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation
    Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou
    http://arxiv.org/abs/2012.05499v1

    • [cs.CV]Sylvester Matrix Based Similarity Estimation Method for Automation of Defect Detection in Textile Fabrics
    R. M. L. N. Kumari, G. A. C. T. Bandara, Maheshi B. Dissanayake
    http://arxiv.org/abs/2012.05800v1

    • [cs.CV]Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes
    Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang
    http://arxiv.org/abs/2012.05522v1

    • [cs.CV]Tensor Composition Net for Visual Relationship Prediction
    Yuting Qiang, Yongxin Yang, Yanwen Guo, Timothy M. Hospedales
    http://arxiv.org/abs/2012.05473v1

    • [cs.CV]Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction
    Andrei Zaharescu, Edmond Boyer, Radu Horaud
    http://arxiv.org/abs/2012.05536v1

    • [cs.CV]ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
    Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
    http://arxiv.org/abs/2012.05258v1

    • [cs.CV]Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
    Eklavya Sarkar, Pavel Korshunov, Laurent Colbois, Sébastien Marcel
    http://arxiv.org/abs/2012.05344v1

    • [cs.CV]iNeRF: Inverting Neural Radiance Fields for Pose Estimation
    Lin Yen-Chen, Pete Florence, Jonathan T. Barron, Alberto Rodriguez, Phillip Isola, Tsung-Yi Lin
    http://arxiv.org/abs/2012.05877v1

    • [cs.CY]Artificial Intelligence at the Edge
    Elisa Bertino, Sujata Banerjee
    http://arxiv.org/abs/2012.05410v1

    • [cs.CY]Evolution of Digital Advertising Strategies during the 2020 US Presidential Primary
    NaLette Brodnax, Piotr Sapiezynski
    http://arxiv.org/abs/2012.05859v1

    • [cs.CY]Preference-Based Privacy Trading
    Ranjan Pal, Yixuan Wang, Swades De, Bodhibrata Nag, Pan Hui
    http://arxiv.org/abs/2012.05484v1

    • [cs.DC]Building Graphs at a Large Scale: Union Find Shuffle
    Saigopal Thota, Mridul Jain, Nishad Kamat, Saikiran Malikireddy, Pruthvi Raj Eranti, Albin Kuruvilla
    http://arxiv.org/abs/2012.05430v1

    • [cs.DC]INetCEP: In-Network Complex Event Processing for Information-Centric Networking
    Manisha Luthra, Boris Koldehofe, Jonas Höchst, Patrick Lampe, Ali Haider Rizvi, Ralf Kundel, Bernd Freisleben
    http://arxiv.org/abs/2012.05239v1

    • [cs.DC]Optimising cost vs accuracy of decentralised analytics in fog computing environments
    Lorenzo Valerio, Andrea Passarella, Marco Conti
    http://arxiv.org/abs/2012.05266v1

    • [cs.DC]Scheduling Beyond CPUs for HPC
    Yuping Fan, Zhiling Lan, Paul Rich, William E. Allcock, Michael E. Papka, Brian Austin, David Paul
    http://arxiv.org/abs/2012.05439v1

    • [cs.DC]Serverless Computing: Behind the Scenes of Major Platforms
    Daniel Kelly, Frank G Glavin, Enda Barrett
    http://arxiv.org/abs/2012.05600v1

    • [cs.DC]ssd-sgd: communication sparsification for distributed deep learning training
    Yemao Xu, Dezun Dong, Yawei Zhao, Weixia Xu, Xiangke Liao
    http://arxiv.org/abs/2012.05396v1

    • [cs.GT]Hindsight and Sequential Rationality of Correlated Play
    Dustin Morrill, Ryan D’Orazio, Reca Sarfati, Marc Lanctot, James Wright, Amy Greenwald, Michael Bowling
    http://arxiv.org/abs/2012.05874v1

    • [cs.GT]Persuading Voters in District-based Elections
    Matteo Castiglioni, Nicola Gatti
    http://arxiv.org/abs/2012.05002v2

    • [cs.HC]Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts
    Ben Green, Yiling Chen
    http://arxiv.org/abs/2012.05370v1

    • [cs.HC]Facial expressions can detect Parkinson’s disease: preliminary evidence from videos collected online
    Mohammad Rafayet Ali, Taylor Myers, Ellen Wagner, Harshil Ratnu, E. Ray Dorsey, Ehsan Hoque
    http://arxiv.org/abs/2012.05373v1

    • [cs.IR]An Integrated Search Framework for Leveraging the Knowledge-Based Web Ecosystem
    Dengya Zhu, Shastri Lakshman Nimmagadda, Torsten Reiners, Amit Rudra
    http://arxiv.org/abs/2012.05397v1

    • [cs.IR]Bew: Towards Answering Business-Entity-Related Web Questions
    Qingqing Cao, Oriana Riva, Aruna Balasubramanian, Niranjan Balasubramanian
    http://arxiv.org/abs/2012.05818v1

    • [cs.IR]Cold-start Sequential Recommendation via Meta Learner
    Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu
    http://arxiv.org/abs/2012.05462v1

    • [cs.IR]Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation
    Ziyang Wang, Wei Wei, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng
    http://arxiv.org/abs/2012.05422v1

    • [cs.IT]Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays
    Victor Croisfelt Rodrigues, Abolfazl Amiri, Taufik Abrão, Elisabeth de Carvalho, Petar Popovski
    http://arxiv.org/abs/2012.05409v1

    • [cs.IT]Intelligent Reflecting Surface-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design
    Yang Zhao, Bruno Clerckx, Zhenyuan Feng
    http://arxiv.org/abs/2012.05646v1

    • [cs.IT]On the MIMO Secrecy Capacity of MIMO Wiretap Channels: Convex Reformulation and Efficient Numerical Methods
    Anshu Mukherjee, Björn Ottersten, Le-Nam Tran
    http://arxiv.org/abs/2012.05667v1

    • [cs.IT]On the Metric and Computation of PAC Codes
    Mohsen Moradi
    http://arxiv.org/abs/2012.05511v1

    • [cs.IT]Secure and Robust MIMO Transceiver for Multicast Mission Critical Communications
    Deepa Jagyasi, Marceau Coupechoux
    http://arxiv.org/abs/2012.05829v1

    • [cs.LG]A Study of Condition Numbers for First-Order Optimization
    Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti, Ioannis Mitliagkas
    http://arxiv.org/abs/2012.05782v1

    • [cs.LG]Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
    Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao
    http://arxiv.org/abs/2012.05756v1

    • [cs.LG]An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
    Kyunghyun Lee, Byeong-Uk Lee, Ukcheol Shin, In So Kweon
    http://arxiv.org/abs/2012.05417v1

    • [cs.LG]Analysis and Optimal Edge Assignment For Hierarchical Federated Learning on Non-IID Data
    Naram Mhaisen, Alaa Awad, Amr Mohamed, Aiman Erbad, Mohsen Guizani
    http://arxiv.org/abs/2012.05622v1

    • [cs.LG]Appliance-Level Monitoring with Micro-Moment Smart Plugs
    Abdullah Alsalemi, Yassine Himeur, Faycal Bensaali, Abbes Amira
    http://arxiv.org/abs/2012.05787v1

    • [cs.LG]Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG
    Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Minji Lee
    http://arxiv.org/abs/2012.05705v1

    • [cs.LG]Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise
    Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
    http://arxiv.org/abs/2012.05458v1

    • [cs.LG]Categorical Perception: A Groundwork for Deep Learning
    Laurent Bonnasse-Gahot, Jean-Pierre Nadal
    http://arxiv.org/abs/2012.05549v1

    • [cs.LG]Communication-Computation Efficient Secure Aggregation for Federated Learning
    Beongjun Choi, Jy-yong Sohn, Dong-Jun Han, Jaekyun Moon
    http://arxiv.org/abs/2012.05433v1

    • [cs.LG]Contrastive Predictive Coding for Human Activity Recognition
    Harish Haresamudram, Irfan Essa, Thomas Ploetz
    http://arxiv.org/abs/2012.05333v1

    • [cs.LG]DA-HGT: Domain Adaptive Heterogeneous Graph Transformer
    Tiancheng Huang, Ke Xu, Donglin Wang
    http://arxiv.org/abs/2012.05688v1

    • [cs.LG]DONE: Distributed Newton-type Method for Federated Edge Learning
    Canh T. Dinh, Nguyen H. Tran, Tuan Dung Nguyen, Wei Bao, Amir Rezaei Balef
    http://arxiv.org/abs/2012.05625v1

    • [cs.LG]Data and its (dis)contents: A survey of dataset development and use in machine learning research
    Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna
    http://arxiv.org/abs/2012.05345v1

    • [cs.LG]Data-Driven Intersection Management Solutions for Mixed Traffic of Human-Driven and Connected and Automated Vehicles
    Masoud Bashiri
    http://arxiv.org/abs/2012.05402v1

    • [cs.LG]Deep-CR MTLR: a Multi-Modal Approach for Cancer Survival Prediction with Competing Risks
    Sejin Kim, Michal Kazmierski, Benjamin Haibe-Kains
    http://arxiv.org/abs/2012.05765v1

    • [cs.LG]Denoising-based Turbo Message Passing for Compressed Video Background Subtraction
    Zhipeng Xue, Xiaojun Yuan, Yang Yang
    http://arxiv.org/abs/2012.05626v1

    • [cs.LG]Ensemble Squared: A Meta AutoML System
    Jason Yoo, Tony Joseph, Dylan Yung, S. Ali Nasseri, Frank Wood
    http://arxiv.org/abs/2012.05390v1

    • [cs.LG]Factor Graph Molecule Network for Structure Elucidation
    Hieu Le Trung, Yiqing Xu, Wee Sun Lee
    http://arxiv.org/abs/2012.05665v1

    • [cs.LG]Flexible Few-Shot Learning with Contextual Similarity
    Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel
    http://arxiv.org/abs/2012.05895v1

    • [cs.LG]Generative Deep Learning Techniques for Password Generation
    David Biesner, Kostadin Cvejoski, Bogdan Georgiev, Rafet Sifa, Erik Krupicka
    http://arxiv.org/abs/2012.05685v1

    • [cs.LG]HpGAN: Sequence Search with Generative Adversarial Networks
    Mingxing Zhang, Zhengchun Zhou, Lanping Li, Zilong Liu, Meng Yang, Yanghe Feng
    http://arxiv.org/abs/2012.05645v1

    • [cs.LG]Imitating Interactive Intelligence
    Josh Abramson, Arun Ahuja, Arthur Brussee, Federico Carnevale, Mary Cassin, Stephen Clark, Andrew Dudzik, Petko Georgiev, Aurelia Guy, Tim Harley, Felix Hill, Alden Hung, Zachary Kenton, Jessica Landon, Timothy Lillicrap, Kory Mathewson, Alistair Muldal, Adam Santoro, Nikolay Savinov, Vikrant Varma, Greg Wayne, Nathaniel Wong, Chen Yan, Rui Zhu
    http://arxiv.org/abs/2012.05672v1

    • [cs.LG]Improving healthcare access management by predicting patient no-show behaviour
    David Barrera Ferro, Sally Brailsford, Cristián Bravo, Honora Smith
    http://arxiv.org/abs/2012.05724v1

    • [cs.LG]Know Your Limits: Monotonicity & Softmax Make Neural Classifiers Overconfident on OOD Data
    Dennis Ulmer, Giovanni Cinà
    http://arxiv.org/abs/2012.05329v1

    • [cs.LG]Large-Scale Generative Data-Free Distillation
    Liangchen Luo, Mark Sandler, Zi Lin, Andrey Zhmoginov, Andrew Howard
    http://arxiv.org/abs/2012.05578v1

    • [cs.LG]Learn what you can’t learn: Regularized Ensembles for Transductive Out-of-distribution Detection
    Alexandru Ţifrea, Eric Stavarache, Fanny Yang
    http://arxiv.org/abs/2012.05825v1

    • [cs.LG]Learning Graphons via Structured Gromov-Wasserstein Barycenters
    Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha
    http://arxiv.org/abs/2012.05644v1

    • [cs.LG]MLComp: A Methodology for Machine Learning-based Performance Estimation and Adaptive Selection of Pareto-Optimal Compiler Optimization Sequences
    Alessio Colucci, Dávid Juhász, Martin Mosbeck, Alberto Marchisio, Semeen Rehman, Manfred Kreutzer, Guenther Nadbath, Axel Jantsch, Muhammad Shafique
    http://arxiv.org/abs/2012.05270v1

    • [cs.LG]MetaInfoNet: Learning Task-Guided Information for Sample Reweighting
    Hongxin Wei, Lei Feng, Rundong Wang, Bo An
    http://arxiv.org/abs/2012.05273v1

    • [cs.LG]Modeling Disease Progression Trajectories from Longitudinal Observational Data
    Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group
    http://arxiv.org/abs/2012.05324v1

    • [cs.LG]Neural Rate Control for Video Encoding using Imitation Learning
    Hongzi Mao, Chenjie Gu, Miaosen Wang, Angie Chen, Nevena Lazic, Nir Levine, Derek Pang, Rene Claus, Marisabel Hechtman, Ching-Han Chiang, Cheng Chen, Jingning Han
    http://arxiv.org/abs/2012.05339v1

    • [cs.LG]Notes on Deep Learning Theory
    Eugene A. Golikov
    http://arxiv.org/abs/2012.05760v1

    • [cs.LG]On the emergence of tetrahedral symmetry in the final and penultimate layers of neural network classifiers
    Weinan E, Stephan Wojtowytsch
    http://arxiv.org/abs/2012.05420v1

    • [cs.LG]Optimal oracle inequalities for solving projected fixed-point equations
    Wenlong Mou, Ashwin Pananjady, Martin J. Wainwright
    http://arxiv.org/abs/2012.05299v1

    • [cs.LG]Physics-consistent deep learning for structural topology optimization
    Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy
    http://arxiv.org/abs/2012.05359v1

    • [cs.LG]Privacy Amplification by Decentralization
    Edwige Cyffers, Aurélien Bellet
    http://arxiv.org/abs/2012.05326v1

    • [cs.LG]Recurrence of Optimum for Training Weight and Activation Quantized Networks
    Ziang Long, Penghang Yin, Jack Xin
    http://arxiv.org/abs/2012.05529v1

    • [cs.LG]Recurrent Point Review Models
    Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev, Christian Bauckhage, Cesar Ojeda
    http://arxiv.org/abs/2012.05684v1

    • [cs.LG]Research Challenges in Designing Differentially Private Text Generation Mechanisms
    Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier
    http://arxiv.org/abs/2012.05403v1

    • [cs.LG]SE-ECGNet: A Multi-scale Deep Residual Network with Squeeze-and-Excitation Module for ECG Signal Classification
    Haozhen Zhang, Wei Zhao, Shuang Liu
    http://arxiv.org/abs/2012.05510v1

    • [cs.LG]Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs
    Simon Ott, Laura Graf, Asan Agibetov, Christian Meilicke, Matthias Samwald
    http://arxiv.org/abs/2012.05750v1

    • [cs.LG]Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
    Rida El-Allami, Alberto Marchisio, Muhammad Shafique, Ihsen Alouani
    http://arxiv.org/abs/2012.05321v1

    • [cs.LG]Slimmable Generative Adversarial Networks
    Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang
    http://arxiv.org/abs/2012.05660v1

    • [cs.LG]Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation
    Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban, Andrea Lodi
    http://arxiv.org/abs/2012.05783v1

    • [cs.LG]The Representation Power of Neural Networks: Breaking the Curse of Dimensionality
    Moise Blanchard, M. Amine Bennouna
    http://arxiv.org/abs/2012.05451v1

    • [cs.LG]Thompson Sampling for CVaR Bandits
    Dorian Baudry, Romain Gautron, Emilie Kaufmann, Odalric-Ambryn Maillard
    http://arxiv.org/abs/2012.05754v1

    • [cs.LG]Transfer Learning for Efficient Iterative Safety Validation
    Anthony Corso, Mykel J. Kochenderfer
    http://arxiv.org/abs/2012.05336v1

    • [cs.LG]Understanding Learned Reward Functions
    Eric J. Michaud, Adam Gleave, Stuart Russell
    http://arxiv.org/abs/2012.05862v1

    • [cs.LG]Weakly Supervised Arrhythmia Detection Based on Deep Convolutional Neural Network
    Yang Liu, Kuanquan Wang, Qince Li, Runnan He, Yongfeng Yuan, Henggui Zhang
    http://arxiv.org/abs/2012.05641v1

    • [cs.NE]Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix)
    Nico Potyka
    http://arxiv.org/abs/2012.05738v1

    • [cs.NI]Edge Computing Assisted Autonomous Flight for UAV: Synergies between Vision and Communications
    Quan Chen, Hai Zhu, Lei Yang, Xiaoqian Chen, Sofie Pollin, Evgenii Vinogradov
    http://arxiv.org/abs/2012.05517v1

    • [cs.RO]Adapting the Human: Leveraging Wearable Technology in HRI
    David Puljiz, Björn Hein
    http://arxiv.org/abs/2012.05854v1

    • [cs.RO]Feasibility Assessment of a Cost-Effective Two-Wheel Kian-I Mobile Robot for Autonomous Navigation
    Amin Abbasi, Somaiyeh MahmoudZadeh, Amirmehdi Yazdani, Ata Jahangir Moshayedi
    http://arxiv.org/abs/2012.05391v1

    • [cs.RO]Kineverse: A Symbolic Articulation Model Framework for Model-Generic Software for Mobile Manipulation
    Adrian Röfer, Georg Bartels, Michael Beetz
    http://arxiv.org/abs/2012.05362v1

    • [cs.RO]LaSeSOM: A Latent Representation Framework for Semantic Soft Object Manipulation
    Peng Zhou, Jihong Zhu, Shengzeng Huo, David Navarro-Alarcon
    http://arxiv.org/abs/2012.05412v1

    • [cs.RO]Multi-expert learning of adaptive legged locomotion
    Chuanyu Yang, Kai Yuan, Qiuguo Zhu, Wanming Yu, Zhibin Li
    http://arxiv.org/abs/2012.05810v1

    • [cs.RO]Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions
    Guanya Shi, Wolfgang Hönig, Xichen Shi, Yisong Yue, Soon-Jo Chung
    http://arxiv.org/abs/2012.05457v1

    • [cs.RO]Self-Supervised Learning of Lidar Segmentation for Autonomous Indoor Navigation
    Hugues Thomas, Ben Agro, Mona Gridseth, Jian Zhang, Timothy D. Barfoot
    http://arxiv.org/abs/2012.05897v1

    • [cs.RO]Topological Planning with Transformers for Vision-and-Language Navigation
    Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese
    http://arxiv.org/abs/2012.05292v1

    • [cs.RO]Visual Perception Generalization for Visual-and-Language Navigation via Meta-Learning
    Ting Wang, Zongkai Wu, Donglin Wang
    http://arxiv.org/abs/2012.05446v1

    • [cs.RO]Wi-Fi Based Indoor Positioning System For Mobile Robots By Using Particle Filter
    Hikmet Yucel, Gulin Elibol, Ugur Yayan
    http://arxiv.org/abs/2012.05286v1

    • [cs.SD]Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition
    Binbin Zhang, Di Wu, Zhuoyuan Yao, Xiong Wang, Fan Yu, Chao Yang, Liyong Guo, Yaguang Hu, Lei Xie, Xin Lei
    http://arxiv.org/abs/2012.05481v1

    • [cs.SI]Bipartite Graph Embedding via Mutual Information Maximization
    Jiangxia Cao, Xixun Lin, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang
    http://arxiv.org/abs/2012.05442v1

    • [cs.SI]Social Media Alerts can Improve, but not Replace Hydrological Models for Forecasting Floods
    Valerio Lorini, Carlos Castillo, Domenico Nappo, Francesco Dottori, Peter Salamon
    http://arxiv.org/abs/2012.05852v1

    • [eess.AS]Data-Efficient Framework for Real-world Multiple Sound Source 2D Localization
    Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana
    http://arxiv.org/abs/2012.05533v1

    • [eess.AS]Learning Multiple Sound Source 2D Localization
    Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante
    http://arxiv.org/abs/2012.05515v1

    • [eess.IV]3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review
    Daria Kern, Andre Mastmeyer
    http://arxiv.org/abs/2012.05745v1

    • [eess.IV]Automatic Generation of Interpretable Lung Cancer Scoring Models from Chest X-Ray Images
    Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan, Manoranjan Paul, Douglas P. S. Gomes, Anwaar Ul-Haq
    http://arxiv.org/abs/2012.05447v1

    • [eess.IV]COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Diagnosis and Severity Assessment of COVID-19
    Guoqing Bao, Xiuying Wang
    http://arxiv.org/abs/2012.05509v1

    • [eess.IV]Deep learning methods for SAR image despeckling: trends and perspectives
    Giulia Fracastoro, Enrico Magli, Giovanni Poggi, Giuseppe Scarpa, Diego Valsesia, Luisa Verdoliva
    http://arxiv.org/abs/2012.05508v1

    • [eess.IV]Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images
    Ali Narin
    http://arxiv.org/abs/2012.05525v1

    • [eess.IV]Effect of Different Batch Size Parameters on Predicting of COVID19 Cases
    Ali Narin, Ziynet Pamuk
    http://arxiv.org/abs/2012.05534v1

    • [eess.IV]Effect of the regularization hyperparameter on deep learning-based segmentation in LGE-MRI
    Olivier Rukundo
    http://arxiv.org/abs/2012.05661v1

    • [eess.IV]Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT
    Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang
    http://arxiv.org/abs/2012.05767v1

    • [eess.IV]Performance Comparison of Balanced and Unbalanced Cancer Datasets using Pre-Trained Convolutional Neural Network
    Ali Narin
    http://arxiv.org/abs/2012.05585v1

    • [eess.IV]Unsupervised Adversarial Domain Adaptation For Barrett’s Segmentation
    Numan Celik, Soumya Gupta, Sharib Ali, Jens Rittscher
    http://arxiv.org/abs/2012.05316v1

    • [eess.SP]Machine learning for nocturnal diagnosis of chronic obstructive pulmonary disease using digital oximetry biomarkers
    Jeremy Levy, Daniel Alvarez, Felix del Campo, Joachim A. Behar
    http://arxiv.org/abs/2012.05492v1

    • [eess.SP]Spatial noise-aware temperature retrieval from infrared sounder data
    David Malmgren-Hansen, Valero Laparra, Allan Aasbjerg Nielsen, Gustau Camps-Valls
    http://arxiv.org/abs/2012.05839v1

    • [eess.SP]T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis
    Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu
    http://arxiv.org/abs/2012.05456v1

    • [eess.SY]Electric Vehicle Battery Remaining Charging Time Estimation Considering Charging Accuracy and Charging Profile Prediction
    Junzhe Shi, Min Tian, Sangwoo Han, Tung-Yan Wu, Yifan Tang
    http://arxiv.org/abs/2012.05352v1

    • [math.NA]From particle swarm optimization to consensus based optimization: stochastic modeling and mean-field limit
    Sara Grassi, Lorenzo Pareschi
    http://arxiv.org/abs/2012.05613v1

    • [math.OC]A generalised log-determinant regularizer for online semi-definite programming and its applications
    Yaxiong Liu, Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto
    http://arxiv.org/abs/2012.05632v1

    • [math.OC]Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
    Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao
    http://arxiv.org/abs/2012.05284v1

    • [math.OC]Hardness results for Multimarginal Optimal Transport problems
    Jason M. Altschuler, Enric Boix-Adsera
    http://arxiv.org/abs/2012.05398v1

    • [math.PR]Detecting Structured Signals in Ising Models
    Nabarun Deb, Rajarshi Mukherjee, Sumit Mukherjee, Ming Yuan
    http://arxiv.org/abs/2012.05784v1

    • [math.ST]Bayes posterior convergence for loss functions via almost additive Thermodynamic Formalism
    Artur O. Lopes, Silvia R. C. Lopes, Paulo Varandas
    http://arxiv.org/abs/2012.05601v1

    • [math.ST]Estimation of first-order sensitivity indices based on symmetric reflected Vietoris-Rips complexes areas
    Alberto J Hernández, Maikol Solís, Ronald A. Zúñiga-Rojas
    http://arxiv.org/abs/2012.05351v1

    • [math.ST]Gibbs posterior concentration rates under sub-exponential type losses
    Nicholas Syring, Ryan Martin
    http://arxiv.org/abs/2012.04505v2

    • [math.ST]Low-rank matrix estimation in multi-response regression with measurement errors: Statistical and computational guarantees
    Xin Li, Dongya Wu
    http://arxiv.org/abs/2012.05432v1

    • [math.ST]Searching for genetic interactions in complex disease by using distance correlation
    Fernando Castro-Prado, Javier Costas, Wenceslao González-Manteiga, David R. Penas
    http://arxiv.org/abs/2012.05285v1

    • [math.ST]Spectral analysis of some random matrices based schemes for stable and robust nonparametric and functional regression estimators
    Asma Ben Saber, Abderrazek Karoui
    http://arxiv.org/abs/2012.05450v1

    • [physics.med-ph]Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
    Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden
    http://arxiv.org/abs/2012.05303v1

    • [q-bio.PE]A modified Susceptible-Infected-Recovered model for observed under-reported incidence data
    Imelda Trejo, Nicolas Hengartner
    http://arxiv.org/abs/2012.05294v1

    • [q-bio.QM]Utilising Graph Machine Learning within Drug Discovery and Development
    Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King
    http://arxiv.org/abs/2012.05716v1

    • [q-fin.PM]Modeling asset allocation strategies and a new portfolio performance score
    Apostolos Chalkis, Ioannis Z. Emiris
    http://arxiv.org/abs/2012.05088v2

    • [quant-ph]Encoding Classical Information in Gauge Subsystems of Quantum Codes
    Andrew Nemec, Andreas Klappenecker
    http://arxiv.org/abs/2012.05896v1

    • [quant-ph]Variational Quantum Algorithms for Trace Distance and Fidelity Estimation
    Ranyiliu Chen, Zhixin Song, Xuanqiang Zhao, Xin Wang
    http://arxiv.org/abs/2012.05768v1

    • [stat.AP]A Bayesian hierarchical modeling approach to combining multiple data sources: A case study in size estimation
    Jacob Parsons, Xiaoyue Niu, Le Bao
    http://arxiv.org/abs/2012.05346v1

    • [stat.AP]Estimating heterogeneous wildfire effects using synthetic controls and satellite remote sensing
    Feliu Serra-Burriel, Pedro Delicado, Andrew T. Prata, Fernando Cucchietti
    http://arxiv.org/abs/2012.05140v2

    • [stat.AP]Towards a global dynamic wind atlas: A multi-country validation of wind power simulation from MERRA-2 and ERA-5 reanalyses bias-corrected with the Global Wind Atlas
    Katharina Gruber, Peter Regner, Sebastian Wehrle, Marianne Zeyringer, Johannes Schmidt
    http://arxiv.org/abs/2012.05648v1

    • [stat.AP]Urban Space Insights Extraction using Acoustic Histogram Information
    Nipun Wijerathne, Billy Pik Lik Lau, Benny Kai Kiat Ng, Chau Yuen
    http://arxiv.org/abs/2012.05488v1

    • [stat.CO]PoolTestR: An R package for estimating prevalence and regression modelling with pooled samples
    Angus McLure, Ben O’Neill, Helen Mayfield, Colleen Lau, Brady McPherson
    http://arxiv.org/abs/2012.05405v1

    • [stat.ME]A Convex Programming Solution Based Debiased Estimator for Quantile with Missing Response and High-dimensional Covariables
    Miaomiao Su, Qihua Wang
    http://arxiv.org/abs/2012.05677v1

    • [stat.ME]A partial least squares approach for function-on-function interaction regression
    Ufuk Beyaztas, Han Lin Shang
    http://arxiv.org/abs/2012.05313v1

    • [stat.ME]Cluster analysis and outlier detection with missing data
    Hung Tong, Cristina Tortora
    http://arxiv.org/abs/2012.05394v1

    • [stat.ME]Context-dependent Ranking and Selection under a Bayesian Framework
    Haidong Li, Henry Lam, Zhe Liang, Yijie Peng
    http://arxiv.org/abs/2012.05577v1

    • [stat.ME]Efficient Learning for Clustering and Optimizing Context-Dependent Designs
    Haidong Li, Henry Lam, Yijie Peng
    http://arxiv.org/abs/2012.05591v1

    • [stat.ME]Exact Bayesian inference for level-set Cox processes
    Flavio B. Gonçalves, Barbara C. C. Dias
    http://arxiv.org/abs/2012.05764v1

    • [stat.ME]Leveraging vague prior information in general models via iteratively constructed Gamma-minimax estimators
    Hongxiang Qiu, Alex Luedtke
    http://arxiv.org/abs/2012.05465v1

    • [stat.ME]Preprocessing noisy functional data using factor models
    Siegfried Hörmann, Fatima Jammoul
    http://arxiv.org/abs/2012.05824v1

    • [stat.ME]The Promises of Parallel Outcomes
    Ying Zhou, Dehan Kong, Linbo Wang
    http://arxiv.org/abs/2012.05849v1

    • [stat.ME]Uncertainty quantification for fault slip inversion
    J. Cricelio Montesinos-López, Antonio Capella, J. Andrés Christen, Josué Tago
    http://arxiv.org/abs/2012.05298v1

    • [stat.ME]What Were They Thinking? Pharmacologic priors implicit in a choice of 3+3 dose-escalation design
    David C. Norris
    http://arxiv.org/abs/2012.05301v1

    • [stat.ML]Asymptotic study of stochastic adaptive algorithm in non-convex landscape
    Sébastien Gadat, Ioana Gavra
    http://arxiv.org/abs/2012.05640v1

    • [stat.ML]Hard and Soft EM in Bayesian Network Learning from Incomplete Data
    Andrea Ruggieri, Francesco Stranieri, Fabio Stella, Marco Scutari
    http://arxiv.org/abs/2012.05269v1

    • [stat.ML]Large Non-Stationary Noisy Covariance Matrices: A Cross-Validation Approach
    Vincent W. C. Tan, Stefan Zohren
    http://arxiv.org/abs/2012.05757v1

    • [stat.ML]On Shapley Credit Allocation for Interpretability
    Debraj Basu
    http://arxiv.org/abs/2012.05506v1