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
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• [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