astro-ph.IM - 仪器仪表和天体物理学方法
cs.AI - 人工智能 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DL - 数字图书馆 cs.DM - 离散数学 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.PL - 编程语言 cs.RO - 机器人学 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 hep-lat - 高能物理晶格 math.CO - 组合数学 math.OC - 优化与控制 math.PR - 概率 math.ST - 统计理论 physics.soc-ph - 物理学与社会 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Self-Supervised Representation Learning for Astronomical Images
• [cs.AI]Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users’ Feedback
• [cs.AI]Awareness Logic: A Kripke-based Rendition of the Heifetz-Meier-Schipper Model
• [cs.AI]Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
• [cs.AI]Generalization in portfolio-based algorithm selection
• [cs.AI]Hierarchical Planning for Resource Allocation in Emergency Response Systems
• [cs.AI]LCEval: Learned Composite Metric for Caption Evaluation
• [cs.AI]Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training
• [cs.AI]Predicting Seminal Quality with the Dominance-Based Rough Sets Approach
• [cs.AI]Rethink AI-based Power Grid Control: Diving Into Algorithm Design
• [cs.AI]SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
• [cs.AI]Towards a Formal Framework for Partial Compliance of Business Processes
• [cs.CL]A Context Aware Approach for Generating Natural Language Attacks
• [cs.CL]A Multimodal Framework for the Detection of Hateful Memes
• [cs.CL]Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
• [cs.CL]Code Switching Language Model Using Monolingual Training Data
• [cs.CL]Cross-lingual Dependency Parsing as Domain Adaptation
• [cs.CL]Disentangling semantics in language throughs VAEs and a certain architectural choice
• [cs.CL]Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
• [cs.CL]I like fish, especially dolphins: Addressing Contradictions in Dialogue Modelling
• [cs.CL]Improved Biomedical Word Embeddings in the Transformer Era
• [cs.CL]Multi-modal Identification of State-Sponsored Propaganda on Social Media
• [cs.CL]ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
• [cs.CL]QUACKIE: A NLP Classification Task With Ground Truth Explanations
• [cs.CL]REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
• [cs.CL]Recognizing Emotion Cause in Conversations
• [cs.CL]Sentence-Based Model Agnostic NLP Interpretability
• [cs.CL]Speech Synthesis as Augmentation for Low-Resource ASR
• [cs.CL]SubICap: Towards Subword-informed Image Captioning
• [cs.CL]To what extent do human explanations of model behavior align with actual model behavior?
• [cs.CL]g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
• [cs.CR]Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning
• [cs.CV]A non-alternating graph hashing algorithm for large scale image search
• [cs.CV]Adversarial Momentum-Contrastive Pre-Training
• [cs.CV]Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks
• [cs.CV]Control of computer pointer using hand gesture recognition in motion pictures
• [cs.CV]Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios
• [cs.CV]Deep Learning-Based Human Pose Estimation: A Survey
• [cs.CV]Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction
• [cs.CV]EDN: Salient Object Detection via Extremely-Downsampled Network
• [cs.CV]FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
• [cs.CV]Global Context Networks
• [cs.CV]Hausdorff Point Convolution with Geometric Priors
• [cs.CV]Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians
• [cs.CV]Low-latency Perception in Off-Road Dynamical Low Visibility Environments
• [cs.CV]MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images
• [cs.CV]Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
• [cs.CV]MobileSal: Extremely Efficient RGB-D Salient Object Detection
• [cs.CV]Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
• [cs.CV]P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
• [cs.CV]Person Re-Identification using Deep Learning Networks: A Systematic Review
• [cs.CV]Physics-based Shadow Image Decomposition for Shadow Removal
• [cs.CV]Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations
• [cs.CV]Rotation Equivariant Siamese Networks for Tracking
• [cs.CV]Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning
• [cs.CV]Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset
• [cs.CV]SyNet: An Ensemble Network for Object Detection in UAV Images
• [cs.CV]Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition
• [cs.CV]Union-net: A deep neural network model adapted to small data sets
• [cs.CV]Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
• [cs.CV]Unveiling Real-Life Effects of Online Photo Sharing
• [cs.CV]WEmbSim: A Simple yet Effective Metric for Image Captioning
• [cs.CY]Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy
• [cs.CY]Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
• [cs.CY]Timely Tracking of Infection Status of Individuals in a Population
• [cs.CY]Towards a common performance and effectiveness terminology for digital proximity tracing applications
• [cs.DL]Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
• [cs.DM]Grapth Theory in the Classification of Information Systems
• [cs.IR]A Frequency-Based Learning-To-Rank Approach for Personal Digital Traces
• [cs.IR]A Hybrid Bandit Framework for Diversified Recommendation
• [cs.IR]THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
• [cs.IR]Understanding and Predicting the Characteristics of Test Collections
• [cs.IT]Analysis and Design of Partially Information- and Partially Parity-Coupled Turbo Codes
• [cs.IT]Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers
• [cs.IT]Linear complementary pair of group codes over finite principal ideal rings
• [cs.IT]Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication
• [cs.IT]Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes
• [cs.IT]Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
• [cs.IT]Spectral Ranking of Causal Influence in Complex Systems
• [cs.IT]The Age of Incorrect Information: an Enabler of Semantics-Empowered Communication
• [cs.IT]Towards Radio Designs with Non-Linear Processing for Next Generation Mobile Systems
• [cs.LG]A Physics-Informed Deep Learning Paradigm for Car-Following Models
• [cs.LG]A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints
• [cs.LG]A Survey on Spatial and Spatiotemporal Prediction Methods
• [cs.LG]A Tight Lower Bound for Uniformly Stable Algorithms
• [cs.LG]Active Deep Learning on Entity Resolution by Risk Sampling
• [cs.LG]An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
• [cs.LG]Assured RL: Reinforcement Learning with Almost Sure Constraints
• [cs.LG]AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy
• [cs.LG]Augmenting Policy Learning with Routines Discovered from a Demonstration
• [cs.LG]Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
• [cs.LG]Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
• [cs.LG]Decentralized Federated Learning via Mutual Knowledge Transfer
• [cs.LG]Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
• [cs.LG]Detecting Hateful Memes Using a Multimodal Deep Ensemble
• [cs.LG]Exploring Adversarial Examples via Invertible Neural Networks
• [cs.LG]General Domain Adaptation Through Proportional Progressive Pseudo Labeling
• [cs.LG]Improving the Certified Robustness of Neural Networks via Consistency Regularization
• [cs.LG]Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
• [cs.LG]K-Means Kernel Classifier
• [cs.LG]Learning Vehicle Routing Problems using Policy Optimisation
• [cs.LG]Learning by Self-Explanation, with Application to Neural Architecture Search
• [cs.LG]Learning from Crowds by Modeling Common Confusions
• [cs.LG]Learning with Retrospection
• [cs.LG]Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
• [cs.LG]Memory-Gated Recurrent Networks
• [cs.LG]On Batch Normalisation for Approximate Bayesian Inference
• [cs.LG]On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights
• [cs.LG]Pain Assessment based on fNIRS using Bidirectional LSTMs
• [cs.LG]Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
• [cs.LG]RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces
• [cs.LG]Regret Bound Balancing and Elimination for Model Selection in Bandits and RL
• [cs.LG]SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
• [cs.LG]Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
• [cs.LG]Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
• [cs.LG]Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
• [cs.LG]Unsupervised neural adaptation model based on optimal transport for spoken language identification
• [cs.LG]Upper Confidence Bounds for Combining Stochastic Bandits
• [cs.LG]Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties
• [cs.LG]Variational Determinant Estimation with Spherical Normalizing Flows
• [cs.LG]Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
• [cs.MA]Distributed Multi-object Tracking under Limited Field of View Sensors
• [cs.NE]Sensitivity — Local Index to Control Chaoticity or Gradient Globally
• [cs.PL]Representing Partial Programs with Blended Abstract Semantics
• [cs.RO]A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs
• [cs.RO]Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
• [cs.RO]Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains
• [cs.RO]Mesh Based Analysis of Low Fractal Dimension ReinforcementLearning Policies
• [cs.RO]On Radiation-Based Thermal Servoing: New Models, Controls and Experiments
• [cs.RO]Path Planning of Unmanned System using Carrot-chasing Algorithm
• [cs.RO]Robotic Following of Flexible Extended Objects: Relevant Technical Facts on the Kinematics of a Moving Continuum
• [cs.RO]Simulation of Vision-based Tactile Sensors using Physics based Rendering
• [cs.RO]Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks
• [cs.RO]Tunnel Facility-based Vehicle Localization in Highway Tunnel using 3D LIDAR
• [cs.SI]Correlations among Game of Thieves and other centrality measures in complex networks
• [eess.AS]Wheel-Rail Interface Condition Estimation (W-RICE)
• [eess.IV]An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
• [eess.IV]Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
• [eess.IV]LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks
• [eess.IV]Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
• [eess.IV]UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement
• [eess.IV]White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative
• [eess.SP]Eurythmic Dancing with Plants — Measuring Plant Response to Human Body Movement in an Anthroposophic Environment
• [eess.SP]Quickest Detection over Sensor Networks with Unknown Post-Change Distribution
• [hep-lat]Lattice gauge equivariant convolutional neural networks
• [math.CO]An Information-Theoretic Proof of a Bound on the Number of Independent Sets in Bipartite Graphs
• [math.OC]Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
• [math.OC]Solving Mixed Integer Programs Using Neural Networks
• [math.PR]An Interpolating Family of size distributions
• [math.ST]Bivariate Densities in Bayes Spaces: Orthogonal Decomposition and Spline Representation
• [math.ST]Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
• [math.ST]Dependence of variance on covariate design in nonparametric link regression
• [math.ST]Nonparametric approximation of conditional expectation operators
• [math.ST]On Statistical Efficiency in Learning
• [math.ST]Regression in Nonstandard Spaces with Fréchet and Geodesic Approaches
• [physics.soc-ph]Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data
• [physics.soc-ph]Concurrency measures in the era of temporal network epidemiology: A review
• [q-bio.QM]AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions
• [q-bio.QM]The necessity and power of random, under-sampled experiments in biology
• [stat.AP]Filtering the intensity of public concern from social media count data with jumps
• [stat.ME]Bayesian prognostic covariate adjustment
• [stat.ME]Causal Inference Using Linear Time-Varying Filters with Additive Noise
• [stat.ME]Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm
• [stat.ME]Kryging: Geostatistical analysis of large-scale datasets using Krylov subspace methods
• [stat.ME]Prevalence Estimation from Random Samples and Census Data with Participation Bias
• [stat.ME]Robust penalized spline estimation with difference penalties
• [stat.ML]High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
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• [astro-ph.IM]Self-Supervised Representation Learning for Astronomical Images
Md Abul Hayat, George Stein, Peter Harrington, Zarija Lukić, Mustafa Mustafa
http://arxiv.org/abs/2012.13083v1
• [cs.AI]Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users’ Feedback
Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh
http://arxiv.org/abs/2012.13387v1
• [cs.AI]Awareness Logic: A Kripke-based Rendition of the Heifetz-Meier-Schipper Model
Gaia Belardinelli, Rasmus K. Rendsvig
http://arxiv.org/abs/2012.12982v1
• [cs.AI]Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge
Riza Velioglu, Jewgeni Rose
http://arxiv.org/abs/2012.12975v1
• [cs.AI]Generalization in portfolio-based algorithm selection
Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik
http://arxiv.org/abs/2012.13315v1
• [cs.AI]Hierarchical Planning for Resource Allocation in Emergency Response Systems
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Abhishek Dubey
http://arxiv.org/abs/2012.13300v1
• [cs.AI]LCEval: Learned Composite Metric for Caption Evaluation
Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
http://arxiv.org/abs/2012.13136v1
• [cs.AI]Leveraging GPT-2 for Classifying Spam Reviews with Limited Labeled Data via Adversarial Training
Athirai A. Irissappane, Hanfei Yu, Yankun Shen, Anubha Agrawal, Gray Stanton
http://arxiv.org/abs/2012.13400v1
• [cs.AI]Predicting Seminal Quality with the Dominance-Based Rough Sets Approach
Nassim Dehouche
http://arxiv.org/abs/2012.13204v1
• [cs.AI]Rethink AI-based Power Grid Control: Diving Into Algorithm Design
Xiren Zhou, Siqi Wang, Ruisheng Diao, Desong Bian, Jiahui Duan, Di Shi
http://arxiv.org/abs/2012.13026v1
• [cs.AI]SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
Vasanth Sarathy, Daniel Kasenberg, Shivam Goel, Jivko Sinapov, Matthias Scheutz
http://arxiv.org/abs/2012.13037v1
• [cs.AI]Towards a Formal Framework for Partial Compliance of Business Processes
Ho-Pun Lam, Mustafa Hashmi, Akhil Kumar
http://arxiv.org/abs/2012.13219v1
• [cs.CL]A Context Aware Approach for Generating Natural Language Attacks
Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
http://arxiv.org/abs/2012.13339v1
• [cs.CL]A Multimodal Framework for the Detection of Hateful Memes
Phillip Lippe, Nithin Holla, Shantanu Chandra, Santhosh Rajamanickam, Georgios Antoniou, Ekaterina Shutova, Helen Yannakoudakis
http://arxiv.org/abs/2012.12871v2
• [cs.CL]Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification
Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu
http://arxiv.org/abs/2012.13260v1
• [cs.CL]Code Switching Language Model Using Monolingual Training Data
Asad Ullah, Tauseef Ahmed
http://arxiv.org/abs/2012.12543v2
• [cs.CL]Cross-lingual Dependency Parsing as Domain Adaptation
Kailai Sun, Zuchao Li, Hai Zhao
http://arxiv.org/abs/2012.13163v1
• [cs.CL]Disentangling semantics in language throughs VAEs and a certain architectural choice
Ghazi Felhi, Joseph Le Roux, Djamé Seddah
http://arxiv.org/abs/2012.13031v1
• [cs.CL]Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
Marta R. Costa-jussà, Carlos Escolano, Christine Basta, Javier Ferrando, Roser Batlle, Ksenia Kharitonova
http://arxiv.org/abs/2012.13176v1
• [cs.CL]I like fish, especially dolphins: Addressing Contradictions in Dialogue Modelling
Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston
http://arxiv.org/abs/2012.13391v1
• [cs.CL]Improved Biomedical Word Embeddings in the Transformer Era
Jiho Noh, Ramakanth Kavuluru
http://arxiv.org/abs/2012.11808v2
• [cs.CL]Multi-modal Identification of State-Sponsored Propaganda on Social Media
Xiaobo Guo, Soroush Vosoughi
http://arxiv.org/abs/2012.13042v1
• [cs.CL]ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
http://arxiv.org/abs/2012.13048v1
• [cs.CL]QUACKIE: A NLP Classification Task With Ground Truth Explanations
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
http://arxiv.org/abs/2012.13190v1
• [cs.CL]REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin
http://arxiv.org/abs/2012.13185v1
• [cs.CL]Recognizing Emotion Cause in Conversations
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Romila Ghosh, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea
http://arxiv.org/abs/2012.11820v2
• [cs.CL]Sentence-Based Model Agnostic NLP Interpretability
Yves Rychener, Xavier Renard, Djamé Seddah, Pascal Frossard, Marcin Detyniecki
http://arxiv.org/abs/2012.13189v1
• [cs.CL]Speech Synthesis as Augmentation for Low-Resource ASR
Deblin Bagchi, Shannon Wotherspoon, Zhuolin Jiang, Prasanna Muthukumar
http://arxiv.org/abs/2012.13004v1
• [cs.CL]SubICap: Towards Subword-informed Image Captioning
Naeha Sharif, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
http://arxiv.org/abs/2012.13122v1
• [cs.CL]To what extent do human explanations of model behavior align with actual model behavior?
Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams
http://arxiv.org/abs/2012.13354v1
• [cs.CL]g2tmn at Constraint@AAAI2021: Exploiting CT-BERT and Ensembling Learning for COVID-19 Fake News Detection
Anna Glazkova, Maksim Glazkov, Timofey Trifonov
http://arxiv.org/abs/2012.11967v2
• [cs.CR]Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning
Danny Keller, Margarita Osadchy, Orr Dunkelman
http://arxiv.org/abs/2012.13293v1
• [cs.CV]A non-alternating graph hashing algorithm for large scale image search
Sobhan Hemati, Mohammad Hadi Mehdizavareh, Shojaeddin Chenouri, Hamid R Tizhoosh
http://arxiv.org/abs/2012.13138v1
• [cs.CV]Adversarial Momentum-Contrastive Pre-Training
Cong Xu, Min Yang
http://arxiv.org/abs/2012.13154v1
• [cs.CV]Appearance-Invariant 6-DoF Visual Localization using Generative Adversarial Networks
Yimin Lin, Jianfeng Huang, Shiguo Lian
http://arxiv.org/abs/2012.13191v1
• [cs.CV]Control of computer pointer using hand gesture recognition in motion pictures
Yalda Foroutan, Ahmad Kalhor, Saeid Mohammadi Nejati, Samad Sheikhaei
http://arxiv.org/abs/2012.13188v1
• [cs.CV]Convolutional Neural Network for Elderly Wandering Prediction in Indoor Scenarios
Rafael F. C. Oliveira, Fabio Barreto, Raphael Abreu
http://arxiv.org/abs/2012.12987v1
• [cs.CV]Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng, Wenhan Wu, Taojiannan Yang, Sijie Zhu, Chen Chen, Ruixu Liu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
http://arxiv.org/abs/2012.13392v1
• [cs.CV]Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction
Delphine Poux, Benjamin Allaert, Nacim Ihaddadene, Ioan Marius Bilasco, Chaabane Djeraba, Mohammed Bennamoun
http://arxiv.org/abs/2012.13217v1
• [cs.CV]EDN: Salient Object Detection via Extremely-Downsampled Network
Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng
http://arxiv.org/abs/2012.13093v1
• [cs.CV]FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
http://arxiv.org/abs/2012.13113v1
• [cs.CV]Global Context Networks
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
http://arxiv.org/abs/2012.13375v1
• [cs.CV]Hausdorff Point Convolution with Geometric Priors
Pengdi Huang, Liqiang Lin, Fuyou Xue, Kai Xu, Danny Cohen-Or, Hui Huang
http://arxiv.org/abs/2012.13118v1
• [cs.CV]Interpolating Points on a Non-Uniform Grid using a Mixture of Gaussians
Ivan Skorokhodov
http://arxiv.org/abs/2012.13257v1
• [cs.CV]Low-latency Perception in Off-Road Dynamical Low Visibility Environments
Nelson Alves, Marco Ruiz, Marco Reis, Tiago Cajahyba, Davi Oliveira, Ana Barreto, Eduardo F. Simas Filho, Wagner L. A. de Oliveira, Leizer Schnitman, Roberto L. S. Monteiro
http://arxiv.org/abs/2012.13014v1
• [cs.CV]MRDet: A Multi-Head Network for Accurate Oriented Object Detection in Aerial Images
Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, Yunhong Wang
http://arxiv.org/abs/2012.13135v1
• [cs.CV]Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
Haokui Zhang, Ying Li, Chengrong Gong, Hao Chen, Zongwen Bai, Chunhua Shen
http://arxiv.org/abs/2012.13212v1
• [cs.CV]MobileSal: Extremely Efficient RGB-D Salient Object Detection
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng
http://arxiv.org/abs/2012.13095v1
• [cs.CV]Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation
Ling Zhou, Qirong Mao, Ming Dong
http://arxiv.org/abs/2012.13148v1
• [cs.CV]P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser, Hao Dong
http://arxiv.org/abs/2012.13089v1
• [cs.CV]Person Re-Identification using Deep Learning Networks: A Systematic Review
Ankit Yadav, Dinesh Kumar Vishwakarma
http://arxiv.org/abs/2012.13318v1
• [cs.CV]Physics-based Shadow Image Decomposition for Shadow Removal
Hieu Le, Dimitris Samaras
http://arxiv.org/abs/2012.13018v1
• [cs.CV]Private-Shared Disentangled Multimodal VAE for Learning of Hybrid Latent Representations
Mihee Lee, Vladimir Pavlovic
http://arxiv.org/abs/2012.13024v1
• [cs.CV]Rotation Equivariant Siamese Networks for Tracking
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
http://arxiv.org/abs/2012.13078v1
• [cs.CV]Seed Phenotyping on Neural Networks using Domain Randomization and Transfer Learning
Venkat Margapuri, Mitchell Neilsen
http://arxiv.org/abs/2012.13259v1
• [cs.CV]Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset
Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti
http://arxiv.org/abs/2012.12996v1
• [cs.CV]SyNet: An Ensemble Network for Object Detection in UAV Images
Berat Mert Albaba, Sedat Ozer
http://arxiv.org/abs/2012.12991v1
• [cs.CV]Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition
Shiyuan Huang, Jiawei Ma, Guangxing Han, Shih-Fu Chang
http://arxiv.org/abs/2012.13073v1
• [cs.CV]Union-net: A deep neural network model adapted to small data sets
Qingfang He, Guang Cheng, Zhiying Lin
http://arxiv.org/abs/2012.13044v1
• [cs.CV]Unsupervised deep clustering and reinforcement learning can accurately segment MRI brain tumors with very small training sets
Joseph Stember, Hrithwik Shalu
http://arxiv.org/abs/2012.13321v1
• [cs.CV]Unveiling Real-Life Effects of Online Photo Sharing
Van-Khoa Nguyen, Adrian Popescu, Jerome Deshayes-Chossart
http://arxiv.org/abs/2012.13180v1
• [cs.CV]WEmbSim: A Simple yet Effective Metric for Image Captioning
Naeha Sharif, Lyndon White, Mohammed Bennamoun, Wei Liu, Syed Afaq Ali Shah
http://arxiv.org/abs/2012.13137v1
• [cs.CY]Antitrust and Artificial Intelligence (AAI): Antitrust Vigilance Lifecycle and AI Legal Reasoning Autonomy
Lance Eliot
http://arxiv.org/abs/2012.13016v1
• [cs.CY]Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
Patrick Ocheja, Yang Cao, Shiyao Ding, Masatoshi Yoshikawa
http://arxiv.org/abs/2012.13061v1
• [cs.CY]Timely Tracking of Infection Status of Individuals in a Population
Melih Bastopcu, Sennur Ulukus
http://arxiv.org/abs/2012.13393v1
• [cs.CY]Towards a common performance and effectiveness terminology for digital proximity tracing applications
Justus Benzler, Dan Bogdanov, Göran Kirchner, Wouter Lueks, Raquel Lucas, Rui Oliveira, Bart Preneel, Marcel Salathe, Carmela Troncoso, Viktor von Wyl
http://arxiv.org/abs/2012.12927v1
• [cs.DL]Nine Best Practices for Research Software Registries and Repositories: A Concise Guide
Task Force on Best Practices for Software Registries, :, Alain Monteil, Alejandra Gonzalez-Beltran, Alexandros Ioannidis, Alice Allen, Allen Lee, Anita Bandrowski, Bruce E. Wilson, Bryce Mecum, Cai Fan Du, Carly Robinson, Daniel Garijo, Daniel S. Katz, David Long, Genevieve Milliken, Hervé Ménager, Jessica Hausman, Jurriaan H. Spaaks, Katrina Fenlon, Kristin Vanderbilt, Lorraine Hwang, Lynn Davis, Martin Fenner, Michael R. Crusoe, Michael Hucka, Mingfang Wu, Neil Chue Hong, Peter Teuben, Shelley Stall, Stephan Druskat, Ted Carnevale, Thomas Morrell
http://arxiv.org/abs/2012.13117v1
• [cs.DM]Grapth Theory in the Classification of Information Systems
Daniel Zentai
http://arxiv.org/abs/2012.13182v1
• [cs.IR]A Frequency-Based Learning-To-Rank Approach for Personal Digital Traces
Daniela Vianna, Amélie Marian
http://arxiv.org/abs/2012.13114v1
• [cs.IR]A Hybrid Bandit Framework for Diversified Recommendation
Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang
http://arxiv.org/abs/2012.13245v1
• [cs.IR]THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
Yunqiu Shao, Bulou Liu, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma
http://arxiv.org/abs/2012.13102v1
• [cs.IR]Understanding and Predicting the Characteristics of Test Collections
Md Mustafizur Rahman, Mucahid Kutlu, Matthew Lease
http://arxiv.org/abs/2012.13292v1
• [cs.IT]Analysis and Design of Partially Information- and Partially Parity-Coupled Turbo Codes
Min Qiu, Xiaowei Wu, Alexandre Graell i Amat, Jinhong Yuan
http://arxiv.org/abs/2012.13082v1
• [cs.IT]Distortion-Aware Linear Precoding for Massive MIMO Downlink Systems with Nonlinear Power Amplifiers
Sina Rezaei Aghdam, Sven Jacobsson, Ulf Gustavsson, Giuseppe Durisi, Christoph Studer, Thomas Eriksson
http://arxiv.org/abs/2012.13337v1
• [cs.IT]Linear complementary pair of group codes over finite principal ideal rings
Hualu Liu, Xiusheng Liu
http://arxiv.org/abs/2012.13239v1
• [cs.IT]Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication
Yihan Cang, Ming Chen, Zhaohui Yang, Mingzhe Chen, Chongwen Huang
http://arxiv.org/abs/2012.13200v1
• [cs.IT]Parallelism versus Latency in Simplified Successive-Cancellation Decoding of Polar Codes
Seyyed Ali Hashemi, Marco Mondelli, Arman Fazeli, Alexander Vardy, John Cioffi, Andrea Goldsmith
http://arxiv.org/abs/2012.13378v1
• [cs.IT]Secure Wireless Communication in RIS-Aided MISO Systems with Hardware Impairments
Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang, Zhangjie Peng
http://arxiv.org/abs/2012.12733v2
• [cs.IT]Spectral Ranking of Causal Influence in Complex Systems
Errol Zalmijn, Tom Heskes, Tom Claassen
http://arxiv.org/abs/2012.13195v1
• [cs.IT]The Age of Incorrect Information: an Enabler of Semantics-Empowered Communication
Ali Maatouk, Mohamad Assaad, Anthony Ephremides
http://arxiv.org/abs/2012.13214v1
• [cs.IT]Towards Radio Designs with Non-Linear Processing for Next Generation Mobile Systems
Konstantinos Nikitopoulos, Marcin Filo, Chathura Jayawardena, Rahim Tafazolli
http://arxiv.org/abs/2012.13371v1
• [cs.LG]A Physics-Informed Deep Learning Paradigm for Car-Following Models
Zhaobin Mo, Xuan Di, Rongye Shi
http://arxiv.org/abs/2012.13376v1
• [cs.LG]A Regret bound for Non-stationary Multi-Armed Bandits with Fairness Constraints
Shaarad A. R, Ambedkar Dukkipati
http://arxiv.org/abs/2012.13380v1
• [cs.LG]A Survey on Spatial and Spatiotemporal Prediction Methods
Zhe Jiang
http://arxiv.org/abs/2012.13384v1
• [cs.LG]A Tight Lower Bound for Uniformly Stable Algorithms
Qinghua Liu, Zhou Lu
http://arxiv.org/abs/2012.13326v1
• [cs.LG]Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa, Qun Chen, Zhaoqiang Chen, Xingyu Lu, Haiyang He, Tianyi Duan, Zhanhuai Li
http://arxiv.org/abs/2012.12960v1
• [cs.LG]An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
Muhammad Ahtazaz Ahsan, Adnan Qayyum, Junaid Qadir, Adeel Razi
http://arxiv.org/abs/2012.13325v1
• [cs.LG]Assured RL: Reinforcement Learning with Almost Sure Constraints
Agustin Castellano, Juan Bazerque, Enrique Mallada
http://arxiv.org/abs/2012.13036v1
• [cs.LG]AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy
Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang
http://arxiv.org/abs/2012.13077v1
• [cs.LG]Augmenting Policy Learning with Routines Discovered from a Demonstration
Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum
http://arxiv.org/abs/2012.12469v2
• [cs.LG]Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yingyan Lin
http://arxiv.org/abs/2012.13091v1
• [cs.LG]Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations
Wenlei Shi, Xinran Wei, Jia Zhang, Xiaoyuan Ni, Arthur Jiang, Jiang Bian, Tie-Yan Liu
http://arxiv.org/abs/2012.13099v1
• [cs.LG]Decentralized Federated Learning via Mutual Knowledge Transfer
Chengxi Li, Gang Li, Pramod K. Varshney
http://arxiv.org/abs/2012.13063v1
• [cs.LG]Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
Oliver Carr, Stojan Jovanovic, Luca Albergante, Fernando Andreotti, Robert Dürichen, Nadia Lipunova, Janie Baxter, Rabia Khan, Benjamin Irving
http://arxiv.org/abs/2012.13233v1
• [cs.LG]Detecting Hateful Memes Using a Multimodal Deep Ensemble
Vlad Sandulescu
http://arxiv.org/abs/2012.13235v1
• [cs.LG]Exploring Adversarial Examples via Invertible Neural Networks
Ruqi Bai, Saurabh Bagchi, David I. Inouye
http://arxiv.org/abs/2012.13111v1
• [cs.LG]General Domain Adaptation Through Proportional Progressive Pseudo Labeling
Mohammad J. Hashemi, Eric Keller
http://arxiv.org/abs/2012.13028v1
• [cs.LG]Improving the Certified Robustness of Neural Networks via Consistency Regularization
Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang
http://arxiv.org/abs/2012.13103v1
• [cs.LG]Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
Armen Aghajanyan, Luke Zettlemoyer, Sonal Gupta
http://arxiv.org/abs/2012.13255v1
• [cs.LG]K-Means Kernel Classifier
M. Andrecut
http://arxiv.org/abs/2012.13021v1
• [cs.LG]Learning Vehicle Routing Problems using Policy Optimisation
Nasrin Sultana, Jeffrey Chan, A. K. Qin, Tabinda Sarwar
http://arxiv.org/abs/2012.13269v1
• [cs.LG]Learning by Self-Explanation, with Application to Neural Architecture Search
Ramtin Hosseini, Pengtao Xie
http://arxiv.org/abs/2012.12899v1
• [cs.LG]Learning from Crowds by Modeling Common Confusions
Zhendong Chu, Jing Ma, Hongning Wang
http://arxiv.org/abs/2012.13052v1
• [cs.LG]Learning with Retrospection
Xiang Deng, Zhongfei Zhang
http://arxiv.org/abs/2012.13098v1
• [cs.LG]Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection
Weikai Li, Chuanxing Geng, Songcan Chen
http://arxiv.org/abs/2012.13309v1
• [cs.LG]Memory-Gated Recurrent Networks
Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang
http://arxiv.org/abs/2012.13121v1
• [cs.LG]On Batch Normalisation for Approximate Bayesian Inference
Jishnu Mukhoti, Puneet K. Dokania, Philip H. S. Torr, Yarin Gal
http://arxiv.org/abs/2012.13220v1
• [cs.LG]On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights
Lingxiao Zhao, Leman Akoglu
http://arxiv.org/abs/2012.12931v1
• [cs.LG]Pain Assessment based on fNIRS using Bidirectional LSTMs
Raul Fernandez Rojas, Julio Romero, Jehu Lopez-Aparicio, Keng-Liang Ou
http://arxiv.org/abs/2012.13231v1
• [cs.LG]Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning
Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly, Maureen van Eijnatten, Kees Joost Batenburg
http://arxiv.org/abs/2012.13346v1
• [cs.LG]RBM-Flow and D-Flow: Invertible Flows with Discrete Energy Base Spaces
Daniel O’Connor, Walter Vinci
http://arxiv.org/abs/2012.13196v1
• [cs.LG]Regret Bound Balancing and Elimination for Model Selection in Bandits and RL
Aldo Pacchiano, Christoph Dann, Claudio Gentile, Peter Bartlett
http://arxiv.org/abs/2012.13045v1
• [cs.LG]SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II
Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan
http://arxiv.org/abs/2012.13169v1
• [cs.LG]Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
http://arxiv.org/abs/2012.13023v1
• [cs.LG]Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks
Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong
http://arxiv.org/abs/2012.13085v1
• [cs.LG]Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder
Tal Daniel, Aviv Tamar
http://arxiv.org/abs/2012.13253v1
• [cs.LG]Unsupervised neural adaptation model based on optimal transport for spoken language identification
Xugang Lu, Peng Shen, Yu Tsao, Hisashi Kawai
http://arxiv.org/abs/2012.13152v1
• [cs.LG]Upper Confidence Bounds for Combining Stochastic Bandits
Ashok Cutkosky, Abhimanyu Das, Manish Purohit
http://arxiv.org/abs/2012.13115v1
• [cs.LG]Using vis-NIRS and Machine Learning methods to diagnose sugarcane soil chemical properties
Diego A. Delgadillo-Duran, Cesar A. Vargas-García, Viviana M. Varón-Ramírez, Francisco Calderón, Andrea C. Montenegro, Paula H. Reyes-Herrera
http://arxiv.org/abs/2012.12995v1
• [cs.LG]Variational Determinant Estimation with Spherical Normalizing Flows
Simon Passenheim, Emiel Hoogeboom
http://arxiv.org/abs/2012.13311v1
• [cs.LG]Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
Arda Sahiner, Tolga Ergen, John Pauly, Mert Pilanci
http://arxiv.org/abs/2012.13329v1
• [cs.MA]Distributed Multi-object Tracking under Limited Field of View Sensors
Hoa Van Nguyen, Hamid Rezatofighi, Ba-Ngu Vo, Damith C. Ranasinghe
http://arxiv.org/abs/2012.12990v1
• [cs.NE]Sensitivity — Local Index to Control Chaoticity or Gradient Globally
Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki
http://arxiv.org/abs/2012.13134v1
• [cs.PL]Representing Partial Programs with Blended Abstract Semantics
Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
http://arxiv.org/abs/2012.12964v1
• [cs.RO]**A Generalized A Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs
Jaein Lim, Panagiotis Tsiotras
http://arxiv.org/abs/2012.13057v1
• [cs.RO]Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
Daniele De Gregorio, Riccardo Zanella, Gianluca Palli, Luigi Di Stefano
http://arxiv.org/abs/2012.13210v1
• [cs.RO]Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains
Min Jiang, Guokun Chi, Geqiang Pan, Shihui Guo, Kay Chen Tan
http://arxiv.org/abs/2012.13320v1
• [cs.RO]Mesh Based Analysis of Low Fractal Dimension ReinforcementLearning Policies
Sean Gillen, Katie Byl
http://arxiv.org/abs/2012.13032v1
• [cs.RO]On Radiation-Based Thermal Servoing: New Models, Controls and Experiments
Luyin Hu, David Navarro-Alarcon, Andrea Cherubini, Mengying Li
http://arxiv.org/abs/2012.13147v1
• [cs.RO]Path Planning of Unmanned System using Carrot-chasing Algorithm
Rahul Bhadani
http://arxiv.org/abs/2012.13227v1
• [cs.RO]Robotic Following of Flexible Extended Objects: Relevant Technical Facts on the Kinematics of a Moving Continuum
A. S. Matveev, V. V. Magerkin
http://arxiv.org/abs/2012.13240v1
• [cs.RO]Simulation of Vision-based Tactile Sensors using Physics based Rendering
Arpit Agarwal, Tim Man, Wenzhen Yuan
http://arxiv.org/abs/2012.13184v1
• [cs.RO]Superhuman Surgical Peg Transfer Using Depth-Sensing and Deep Recurrent Neural Networks
Minho Hwang, Brijen Thananjeyan, Daniel Seita, Jeffrey Ichnowski, Samuel Paradis, Danyal Fer, Thomas Low, Ken Goldberg
http://arxiv.org/abs/2012.12844v2
• [cs.RO]Tunnel Facility-based Vehicle Localization in Highway Tunnel using 3D LIDAR
Kyuwon Kim, Junhyuck Im, Gyuin Jee
http://arxiv.org/abs/2012.13168v1
• [cs.SI]Correlations among Game of Thieves and other centrality measures in complex networks
Annamaria Ficara, Giacomo Fiumara, Pasquale De Meo, Antonio Liotta
http://arxiv.org/abs/2012.13013v1
• [eess.AS]Wheel-Rail Interface Condition Estimation (W-RICE)
Sundar Shrestha, Anand Koirala, Maksym Spiryagin, Qing Wu
http://arxiv.org/abs/2012.13096v1
• [eess.IV]An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement
Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/2012.13033v1
• [eess.IV]Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl
http://arxiv.org/abs/2012.13340v1
• [eess.IV]LEUGAN:Low-Light Image Enhancement by Unsupervised Generative Attentional Networks
Yangyang Qu, Chao liu, Yongsheng Ou
http://arxiv.org/abs/2012.13322v1
• [eess.IV]Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
http://arxiv.org/abs/2012.13364v1
• [eess.IV]UMLE: Unsupervised Multi-discriminator Network for Low Light Enhancement
Yangyang Qu, Kai Chen, Yongsheng Ou
http://arxiv.org/abs/2012.13177v1
• [eess.IV]White matter hyperintensities volume and cognition: Assessment of a deep learning based lesion detection and quantification algorithm on the Alzheimers Disease Neuroimaging Initiative
Lavanya Umapathy, Gloria Guzman Perez-Carillo, Blair Winegar, Srinivasan Vedantham, Maria Altbach, Ali Bilgin
http://arxiv.org/abs/2012.13059v1
• [eess.SP]Eurythmic Dancing with Plants — Measuring Plant Response to Human Body Movement in an Anthroposophic Environment
Sebastian Duerr, Josephine van Delden, Buenyamin Oezkaya, Peter A. Gloor
http://arxiv.org/abs/2012.12978v1
• [eess.SP]Quickest Detection over Sensor Networks with Unknown Post-Change Distribution
Deniz Sargun, C. Emre Koksal
http://arxiv.org/abs/2012.13027v1
• [hep-lat]Lattice gauge equivariant convolutional neural networks
Matteo Favoni, Andreas Ipp, David I. Müller, Daniel Schuh
http://arxiv.org/abs/2012.12901v1
• [math.CO]An Information-Theoretic Proof of a Bound on the Number of Independent Sets in Bipartite Graphs
Igal Sason
http://arxiv.org/abs/2012.12107v2
• [math.OC]Global Convergence of Model Function Based Bregman Proximal Minimization Algorithms
Mahesh Chandra Mukkamala, Jalal Fadili, Peter Ochs
http://arxiv.org/abs/2012.13161v1
• [math.OC]Solving Mixed Integer Programs Using Neural Networks
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O’Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols
http://arxiv.org/abs/2012.13349v1
• [math.PR]An Interpolating Family of size distributions
Corinne Sinner, Yves Dominicy, Julien Trufin, Wout Waterschoot, Patrick Weber, Christophe Ley
http://arxiv.org/abs/2012.13348v1
• [math.ST]Bivariate Densities in Bayes Spaces: Orthogonal Decomposition and Spline Representation
Karel Hron, Jitka Machalová, Alessandra Menafoglio
http://arxiv.org/abs/2012.12948v1
• [math.ST]Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
Oliver R. A. Dunbar, Alfredo Garbuno-Inigo, Tapio Schneider, Andrew M. Stuart
http://arxiv.org/abs/2012.13262v1
• [math.ST]Dependence of variance on covariate design in nonparametric link regression
Akifumi Okuno, Keisuke Yano
http://arxiv.org/abs/2012.13106v1
• [math.ST]Nonparametric approximation of conditional expectation operators
Mattes Mollenhauer, Péter Koltai
http://arxiv.org/abs/2012.12917v1
• [math.ST]On Statistical Efficiency in Learning
Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh
http://arxiv.org/abs/2012.13307v1
• [math.ST]Regression in Nonstandard Spaces with Fréchet and Geodesic Approaches
Christof Schötz
http://arxiv.org/abs/2012.13332v1
• [physics.soc-ph]Characterizing the COVID-19 Transmission in South Korea Using the KCDC Patient Data
Anna Schmedding, Lishan Yang, Riccardo Pinciroli, Evgenia Smirni
http://arxiv.org/abs/2012.13296v1
• [physics.soc-ph]Concurrency measures in the era of temporal network epidemiology: A review
Naoki Masuda, Joel C. Miller, Petter Holme
http://arxiv.org/abs/2012.13317v1
• [q-bio.QM]AttentionDDI: Siamese Attention-based Deep Learning method for drug-drug interaction predictions
Kyriakos Schwarz, Ahmed Allam, Nicolas Andres Perez Gonzalez, Michael Krauthammer
http://arxiv.org/abs/2012.13248v1
• [q-bio.QM]The necessity and power of random, under-sampled experiments in biology
Brian Cleary, Aviv Regev
http://arxiv.org/abs/2012.12961v1
• [stat.AP]Filtering the intensity of public concern from social media count data with jumps
Matteo Iacopini, Carlo R. M. A. Santagiustina
http://arxiv.org/abs/2012.13267v1
• [stat.ME]Bayesian prognostic covariate adjustment
David Walsh, Alejandro Schuler, Diana Hall, Jon Walsh, Charles Fisher
http://arxiv.org/abs/2012.13112v1
• [stat.ME]Causal Inference Using Linear Time-Varying Filters with Additive Noise
Kang Du, Yu Xiang
http://arxiv.org/abs/2012.13025v1
• [stat.ME]Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm
Zhou Lan
http://arxiv.org/abs/2012.13075v1
• [stat.ME]Kryging: Geostatistical analysis of large-scale datasets using Krylov subspace methods
Suman Majumder, Yawen Guan, Brian J. Reich, Arvind K. Saibaba
http://arxiv.org/abs/2012.13133v1
• [stat.ME]Prevalence Estimation from Random Samples and Census Data with Participation Bias
Stéphane Guerrier, Christoph Kuzmics, Maria-Pia Victoria-Feser
http://arxiv.org/abs/2012.10745v2
• [stat.ME]Robust penalized spline estimation with difference penalties
Ioannis Kalogridis, Stefan Van Aelst
http://arxiv.org/abs/2012.13295v1
• [stat.ML]High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
Eric Han, Ishank Arora, Jonathan Scarlett
http://arxiv.org/abs/2012.13088v1