归档 - 今日学术视野(2020.11.27) - 《爱可可老师分享》

astro-ph.GA - 星系天体物理学

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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.GR - 计算机图形学 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.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 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.OC - 优化与控制 math.ST - 统计理论 physics.optics - 光学 physics.plasm-ph - 等离子体物理 physics.soc-ph - 物理学与社会 q-bio.PE - 人口与发展 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习

• [astro-ph.GA]DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning
• [astro-ph.GA]Detection of Double-Nuclei Galaxies in SDSS
• [cs.AI]A Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction
• [cs.AI]Anytime Prediction as a Model of Human Reaction Time
• [cs.AI]Cable Tree Wiring — Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints
• [cs.AI]ColdGAN: Resolving Cold Start User Recommendation by using Generative Adversarial Networks
• [cs.AI]Contract Scheduling With Predictions
• [cs.AI]European Strategy on AI: Are we truly fostering social good?
• [cs.AI]Measuring Happiness Around the World Through Artificial Intelligence
• [cs.AI]On limitations of learning algorithms in competitive environments
• [cs.AI]Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
• [cs.AI]The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning
• [cs.AI]The Landscape of Ontology Reuse Approaches
• [cs.AI]Towards Playing Full MOBA Games with Deep Reinforcement Learning
• [cs.AI]World Model as a Graph: Learning Latent Landmarks for Planning
• [cs.AI]Zero-Shot Visual Slot Filling as Question Answering
• [cs.AR]Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks
• [cs.CE]An elastic framework for ensemble-based large-scale data assimilation
• [cs.CL]A Panoramic Survey of Natural Language Processing in the Arab World
• [cs.CL]Enhancing deep neural networks with morphological information
• [cs.CL]Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text
• [cs.CL]Experiments on transfer learning architectures for biomedical relation extraction
• [cs.CL]Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
• [cs.CL]Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
• [cs.CL]Multi-task Language Modeling for Improving Speech Recognition of Rare Words
• [cs.CL]Neural Representations for Modeling Variation in English Speech
• [cs.CL]The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability
• [cs.CL]XTQA: Span-Level Explanations of the Textbook Question Answering
• [cs.CR]Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning
• [cs.CR]Lethean Attack: An Online Data Poisoning Technique
• [cs.CR]Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
• [cs.CR]On the Serverless Nature of Blockchains and Smart Contracts
• [cs.CR]Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints
• [cs.CR]SurFree: a fast surrogate-free black-box attack
• [cs.CR]Towards Mass Adoption of Contact Tracing Apps — Learning from Users’ Preferences to Improve App Design
• [cs.CV]A3D: Adaptive 3D Networks for Video Action Recognition
• [cs.CV]Adversarial Attack on Facial Recognition using Visible Light
• [cs.CV]Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
• [cs.CV]Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction
• [cs.CV]Auto Graph Encoder-Decoder for Model Compression and Network Acceleration
• [cs.CV]Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
• [cs.CV]Building 3D Morphable Models from a Single Scan
• [cs.CV]CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
• [cs.CV]CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking
• [cs.CV]CellSegmenter: unsupervised representation learning and instance segmentation of modular images
• [cs.CV]CircleGAN: Generative Adversarial Learning across Spherical Circles
• [cs.CV]Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
• [cs.CV]Continuous Surface Embeddings
• [cs.CV]DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects
• [cs.CV]DeRF: Decomposed Radiance Fields
• [cs.CV]Deep Magnification-Arbitrary Upsampling over 3D Point Clouds
• [cs.CV]Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture
• [cs.CV]Deep-learning coupled with novel classification method to classify the urban environment of the developing world
• [cs.CV]Deformable Neural Radiance Fields
• [cs.CV]Delving Deep into Label Smoothing
• [cs.CV]Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation
• [cs.CV]Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline
• [cs.CV]Face recognition using PCA integrated with Delaunay triangulation
• [cs.CV]Fast Object Segmentation Learning with Kernel-based Methods for Robotics
• [cs.CV]Fast Region Proposal Learning for Object Detection for Robotics
• [cs.CV]Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
• [cs.CV]Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation
• [cs.CV]ImCLR: Implicit Contrastive Learning for Image Classification
• [cs.CV]Image Inpainting with Contextual Reconstruction Loss
• [cs.CV]Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
• [cs.CV]Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning
• [cs.CV]Match Them Up: Visually Explainable Few-shot Image Classification
• [cs.CV]Multi-Domain Adversarial Feature Generalization for Person Re-Identification
• [cs.CV]Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity
• [cs.CV]Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
• [cs.CV]Multimodal Learning for Hateful Memes Detection
• [cs.CV]Online Domain Adaptation for Continuous Cross-Subject Liver Viability Evaluation Based on Irregular Thermal Data
• [cs.CV]Open-World Learning Without Labels
• [cs.CV]PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
• [cs.CV]Play Fair: Frame Attributions in Video Models
• [cs.CV]Privacy-preserving Collaborative Learning with Automatic Transformation Search
• [cs.CV]Quantifying Explainers of Graph Neural Networks in Computational Pathology
• [cs.CV]Recalibration of Neural Networks for Point Cloud Analysis
• [cs.CV]Recent Progress in Appearance-based Action Recognition
• [cs.CV]Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
• [cs.CV]Reference-Based Video Colorization with Spatiotemporal Correspondence
• [cs.CV]Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation
• [cs.CV]Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map
• [cs.CV]SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
• [cs.CV]Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods
• [cs.CV]Space-time Neural Irradiance Fields for Free-Viewpoint Video
• [cs.CV]Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
• [cs.CV]StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
• [cs.CV]Supercharging Imbalanced Data Learning With Causal Representation Transfer
• [cs.CV]Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches
• [cs.CV]UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios
• [cs.CV]Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
• [cs.CV]Unsupervised Object Detection with LiDAR Clues
• [cs.CV]Unsupervised Object Keypoint Learning using Local Spatial Predictability
• [cs.CV]Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays
• [cs.CY]AI virtues — The missing link in putting AI ethics into practice
• [cs.CY]An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing Country
• [cs.CY]Assessing the Quality of Gridded Population Data for Quantifying the Population Living in Deprived Communities
• [cs.CY]COVID-19 and Social Distancing: Disparities in Mobility Adaptation by Income
• [cs.CY]Influence of Murder Incident of Ride-hailing Drivers on Ride-hailing User’s Consuming Willingness in Nanchang
• [cs.DB]OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs
• [cs.DC]An $O(\log^{3/2}n)$ Parallel Time Population Protocol for Majority with $O(\log n)$ States
• [cs.DC]Characterization and Derivation of Heard-Of Predicates for Asynchronous Message-Passing Models
• [cs.DC]Locally Solvable Tasks and the Limitations of Valency Arguments
• [cs.DC]Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
• [cs.DC]Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment
• [cs.DC]Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS
• [cs.GR]StyleUV: Diverse and High-fidelity UV Map Generative Model
• [cs.IR]Denmark’s Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
• [cs.IR]Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network
• [cs.IR]RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
• [cs.IT]A Statistical Characterization of Localization Performance in Millimeter-Wave Cellular Networks
• [cs.IT]Bounds for Algorithmic Mutual Information and a Unifilar Order Estimator
• [cs.IT]Deep Learning-based Resource Allocation For Device-to-Device Communication
• [cs.IT]Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems
• [cs.IT]Energy-Efficient Task Offloading and Resource Allocation in Mobile Edge Computing with Sequential Task Dependency
• [cs.IT]Learning sparse structures for physics-inspired compressed sensing
• [cs.IT]Multiple Transmit Power Levels based NOMA for Massive Machine-type Communications
• [cs.IT]Recursive Projection-Aggregation Decoding of Reed-Muller Codes
• [cs.IT]Relay Selection & Power Allocation for Maximizing Sum-Throughput of a Buffered Relay Network
• [cs.IT]Secure GDoF of the Z-channel with Finite Precision CSIT: How Robust are Structured Codes?
• [cs.IT]Wedge-Lifted Codes
• [cs.LG]A Non-linear Function-on-Function Model for Regression with Time Series Data
• [cs.LG]AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
• [cs.LG]Adam$^+$: A Stochastic Method with Adaptive Variance Reduction
• [cs.LG]Analyzing the Machine Learning Conference Review Process
• [cs.LG]Attention-Based Learning on Molecular Ensembles
• [cs.LG]Batch Normalization Embeddings for Deep Domain Generalization
• [cs.LG]C-Learning: Horizon-Aware Cumulative Accessibility Estimation
• [cs.LG]Causal inference using deep neural networks
• [cs.LG]Consistency-aware and Inconsistency-aware Graph-based Multi-view Clustering
• [cs.LG]Continual learning with direction-constrained optimization
• [cs.LG]Cyclic Label Propagation for Graph Semi-supervised Learning
• [cs.LG]DeepKoCo: Efficient latent planning with an invariant Koopman representation
• [cs.LG]Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
• [cs.LG]Differentially Private Learning Needs Better Features (or Much More Data)
• [cs.LG]Distributed Reinforcement Learning is a Dataflow Problem
• [cs.LG]Effective and Sparse Count-Sketch via k-means clustering
• [cs.LG]Efficient Construction of Nonlinear Models overNormalized Data
• [cs.LG]Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques
• [cs.LG]Enhanced Scene Specificity with Sparse Dynamic Value Estimation
• [cs.LG]Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning
• [cs.LG]Equivariant Conditional Neural Processes
• [cs.LG]Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
• [cs.LG]FireSRnet: Geoscience-Driven Super-Resolution of Future Fire Risk from Climate Change
• [cs.LG]Generalized Variational Continual Learning
• [cs.LG]Hindsight Network Credit Assignment
• [cs.LG]Implicit bias of deep linear networks in the large learning rate phase
• [cs.LG]Improving Clinical Outcome Predictions Using Convolution overMedical Entities with Multimodal Learning
• [cs.LG]Interpretable Models in ANNs
• [cs.LG]Invariant Representation Learning for Treatment Effect Estimation
• [cs.LG]Latent Group Structured Multi-task Learning
• [cs.LG]Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing
• [cs.LG]Learning Principle of Least Action with Reinforcement Learning
• [cs.LG]Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
• [cs.LG]Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation
• [cs.LG]MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
• [cs.LG]Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
• [cs.LG]No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
• [cs.LG]Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
• [cs.LG]Provably-Robust Runtime Monitoring of Neuron Activation Patterns
• [cs.LG]RTFN: A Robust Temporal Feature Network for Time Series Classification
• [cs.LG]Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs
• [cs.LG]Regret-optimal measurement-feedback control
• [cs.LG]Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
• [cs.LG]Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
• [cs.LG]Stochastic sparse adversarial attacks
• [cs.LG]TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
• [cs.LG]Temporal Autoencoder with U-Net Style Skip-Connections for Frame Prediction
• [cs.LG]Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
• [cs.LG]Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning
• [cs.LG]Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
• [cs.LG]Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints
• [cs.LG]Wasserstein k-means with sparse simplex projection
• [cs.LG]WeiPS: a symmetric fusion model framework for large-scale online learning
• [cs.LG]Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
• [cs.LG]torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation
• [cs.NE]Modeling the Evolution of Retina Neural Network
• [cs.NE]PeleNet: A Reservoir Computing Framework for Loihi
• [cs.RO]A reinforcement learning control approach for underwater manipulation under position and torque constraints
• [cs.RO]Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents
• [cs.RO]Experiments in Autonomous Driving Through Imitation Learning
• [cs.RO]High-Level Description of Robot Architecture
• [cs.RO]Improving Redundancy Availability: Dynamic Subtasks Modulation for Robots with Redundancy Insufficiency
• [cs.RO]Learning Certified Control using Contraction Metric
• [cs.RO]Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search
• [cs.RO]Prediction-Based Reachability for Collision Avoidance in Autonomous Driving
• [cs.RO]Redundancy Resolution and Disturbance Rejection via Torque Optimization in Hybrid Cable-Driven Robots
• [cs.RO]Sensorimotor representation learning for an “active self” in robots: A model survey
• [cs.SD]MTCRNN: A multi-scale RNN for directed audio texture synthesis
• [cs.SD]Multi-Decoder DPRNN: High Accuracy Source Counting and Separation
• [cs.SD]SAR-Net: A End-to-End Deep Speech Accent Recognition Network
• [cs.SD]Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding
• [cs.SE]Code Search Intent Classification Using Weak Supervision
• [cs.SE]Nudge: Accelerating Overdue Pull Requests Towards Completion
• [cs.SI]A new method for community detection in social networks based on message distribution
• [cs.SI]Evaluating the scale, growth, and origins of right-wing echo chambers on YouTube
• [cs.SI]Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
• [cs.SI]Localism as Secrecy: Efficiency-Secrecy Tradeoffs in the Recruitment of ISIS Foreign Fighters
• [cs.SI]Revisiting graph neural networks and distance encoding in a practical view
• [econ.GN]The Application of Data Mining in the Production Processes
• [eess.AS]Bootstrap an end-to-end ASR system by multilingual training, transfer learning, text-to-text mapping and synthetic audio
• [eess.AS]Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech
• [eess.IV]Characterisation of CMOS Image Sensor Performance in Low Light Automotive Applications
• [eess.IV]Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections
• [eess.IV]Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
• [eess.IV]Distribution Conditional Denoising: A Flexible Discriminative Image Denoiser
• [eess.IV]Evaluation of quality measures for color quantization
• [eess.IV]Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning
• [eess.IV]Physics-informed neural networks for myocardial perfusion MRI quantification
• [eess.IV]Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy
• [eess.IV]Rank-One Network: An Effective Framework for Image Restoration
• [eess.IV]Single-Image Lens Flare Removal
• [eess.IV]The Unreasonable Effectiveness of Encoder-Decoder Networks for Retinal Vessel Segmentation
• [eess.SP]A Reusable Framework Based on Reinforcement Learning to Design Antennas for Curved Surfaces
• [eess.SP]Peer Offloading with Delayed Feedback in Fog Networks
• [eess.SP]Quantized Neural Networks for Radar Interference Mitigation
• [eess.SY]A Generalizable Model for Fault Detection in Offshore Wind Turbines Based on Deep Learning
• [math.OC]Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations
• [math.OC]Exploratory LQG Mean Field Games with Entropy Regularization
• [math.OC]Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems
• [math.OC]Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence
• [math.OC]Reinforced optimal control
• [math.OC]Sequential convergence of AdaGrad algorithm for smooth convex optimization
• [math.ST]A Lepski-type stopping rule for the covariance estimation of multi-dimensional Lévy processes
• [math.ST]On the nonparametric inference of coefficients of self-exciting jump-diffusion
• [math.ST]Optimal Mean Estimation without a Variance
• [math.ST]Post-Processed Posteriors for Banded Covariances
• [math.ST]The standard cure model with a linear hazard
• [physics.optics]Machine Learning enables Ultra-Compact Integrated Photonics through Silicon-Nanopattern Digital Metamaterials
• [physics.plasm-ph]Automatic Identification of MHD Modes in Magnetic Fluctuations Spectrograms using Deep Learning Techniques
• [physics.soc-ph]Optimal risk in wealth exchange models: agent dynamics from a microscopic perspective
• [q-bio.PE]A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data
• [q-bio.PE]Improving epidemic testing and containment strategies using machine learning
• [stat.AP]Congestion in near capacity metro operations: optimum boardings and alightings at bottleneck stations
• [stat.AP]Multivariate hierarchical analysis of car crashes data considering a spatial network lattice
• [stat.AP]Surrogate-based Bayesian Comparison of Computationally Expensive Models: Application to Microbially Induced Calcite Precipitation
• [stat.ME]A Bayesian semi-parametric approach for inference on the population partly conditional mean from longitudinal data with dropout
• [stat.ME]A spectral-based framework for hypothesis testing in populations of networks
• [stat.ME]Doubly Robust Adaptive LASSO for Effect Modifier Discovery
• [stat.ME]Elastic $k$-means clustering of functional data for posterior exploration, with an application to inference on acute respiratory infection dynamics
• [stat.ME]Elliptical Symmetry Tests in \proglang{R}
• [stat.ME]Functional Principal Component Analysis of Cointegrated Functional Time Series
• [stat.ME]Hybrid Confidence Intervals for Informative Uniform Asymptotic Inference After Model Selection
• [stat.ME]Modern Multiple Imputation with Functional Data
• [stat.ME]Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators
• [stat.ME]Thirty Years of The Network Scale up Method
• [stat.ME]Unstructured Primary Outcome in Randomized Controlled Trials
• [stat.ML]All You Need is a Good Functional Prior for Bayesian Deep Learning
• [stat.ML]Feature space approximation for kernel-based supervised learning
• [stat.ML]Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization
• [stat.ML]Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting
• [stat.ML]Symmetry-Aware Actor-Critic for 3D Molecular Design
• [stat.ML]The dynamics of learning with feedback alignment

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• [astro-ph.GA]DeepShadows: Separating Low Surface Brightness Galaxies from Artifacts using Deep Learning
Dimitrios Tanoglidis, Aleksandra Ćiprijanović, Alex Drlica-Wagner
http://arxiv.org/abs/2011.12437v1

• [astro-ph.GA]Detection of Double-Nuclei Galaxies in SDSS
Bhattacharya, Anwesh, Saha, Snehanshu, Das, Mousumi
http://arxiv.org/abs/2011.12177v1

• [cs.AI]A Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction
Tengteng Wen, Zhuofeng Mo, Jingshan Li, Qi Liu, Liming Wu, Dehan Luo
http://arxiv.org/abs/2011.12538v1

• [cs.AI]Anytime Prediction as a Model of Human Reaction Time
Omkar Kumbhar, Elena Sizikova, Najib Majaj, Denis G. Pelli
http://arxiv.org/abs/2011.12859v1

• [cs.AI]Cable Tree Wiring — Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints
Jana Koehler, Joseph Bürgler, Urs Fontana, Etienne Fux, Florian Herzog, Marc Pouly, Sophia Saller, Anastasia Salyaeva, Peter Scheiblechner, Kai Waelti
http://arxiv.org/abs/2011.12862v1

• [cs.AI]ColdGAN: Resolving Cold Start User Recommendation by using Generative Adversarial Networks
Po-Lin Lai, Chih-Yun Chen, Liang-Wei Lo, Chien-Chin Chen
http://arxiv.org/abs/2011.12566v1

• [cs.AI]Contract Scheduling With Predictions
Spyros Angelopoulos, Shahin Kamali
http://arxiv.org/abs/2011.12439v1

• [cs.AI]European Strategy on AI: Are we truly fostering social good?
Francesca Foffano, Teresa Scantamburlo, Atia Cortés, Chiara Bissolo
http://arxiv.org/abs/2011.12863v1

• [cs.AI]Measuring Happiness Around the World Through Artificial Intelligence
Rustem Ozakar, Rafet Efe Gazanfer, Y. Sinan Hanay
http://arxiv.org/abs/2011.12548v1

• [cs.AI]On limitations of learning algorithms in competitive environments
Alexander Y Klimenko, Dimitri A Klimenko
http://arxiv.org/abs/2011.12728v1

• [cs.AI]Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings
Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
http://arxiv.org/abs/2011.12582v1

• [cs.AI]The Human Effect Requires Affect: Addressing Social-Psychological Factors of Climate Change with Machine Learning
Kyle Tilbury, Jesse Hoey
http://arxiv.org/abs/2011.12443v1

• [cs.AI]The Landscape of Ontology Reuse Approaches
Valentina Anita Carriero, Marilena Daquino, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Francesca Tomasi
http://arxiv.org/abs/2011.12599v1

• [cs.AI]Towards Playing Full MOBA Games with Deep Reinforcement Learning
Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
http://arxiv.org/abs/2011.12692v1

• [cs.AI]World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang, Ge Yang, Bradly C. Stadie
http://arxiv.org/abs/2011.12491v1

• [cs.AI]Zero-Shot Visual Slot Filling as Question Answering
Larry Heck, Simon Heck
http://arxiv.org/abs/2011.12340v1

• [cs.AR]Low Latency CMOS Hardware Acceleration for Fully Connected Layers in Deep Neural Networks
Nick Iliev, Amit Ranjan Trivedi
http://arxiv.org/abs/2011.12839v1

• [cs.CE]An elastic framework for ensemble-based large-scale data assimilation
Sebastian Friedemann, Bruno Raffin
http://arxiv.org/abs/2011.11635v2

• [cs.CL]A Panoramic Survey of Natural Language Processing in the Arab World
Kareem Darwish, Nizar Habash, Mourad Abbas, Hend Al-Khalifa, Huseein T. Al-Natsheh, Samhaa R. El-Beltagy, Houda Bouamor, Karim Bouzoubaa, Violetta Cavalli-Sforza, Wassim El-Hajj, Mustafa Jarrar, Hamdy Mubarak
http://arxiv.org/abs/2011.12631v1

• [cs.CL]Enhancing deep neural networks with morphological information
Matej Klemen, Luka Krsnik, Marko Robnik-Šikonja
http://arxiv.org/abs/2011.12432v1

• [cs.CL]Evaluating Input Representation for Language Identification in Hindi-English Code Mixed Text
Ramchandra Joshi, Raviraj Joshi
http://arxiv.org/abs/2011.11263v2

• [cs.CL]Experiments on transfer learning architectures for biomedical relation extraction
Walid Hafiane, Joel Legrand, Yannick Toussaint, Adrien Coulet
http://arxiv.org/abs/2011.12380v1

• [cs.CL]Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach
Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue
http://arxiv.org/abs/2011.12334v1

• [cs.CL]Learning to Expand: Reinforced Pseudo-relevance Feedback Selection for Information-seeking Conversations
Haojie Pan, Cen Chen, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang, Haiqing Chen
http://arxiv.org/abs/2011.12771v1

• [cs.CL]Multi-task Language Modeling for Improving Speech Recognition of Rare Words
Chao-Han Huck Yang, Linda Liu, Ankur Gandhe, Yile Gu, Anirudh Raju, Denis Filimonov, Ivan Bulyko
http://arxiv.org/abs/2011.11715v2

• [cs.CL]Neural Representations for Modeling Variation in English Speech
Martijn Bartelds, Wietse de Vries, Faraz Sanal, Caitlin Richter, Mark Liberman, Martijn Wieling
http://arxiv.org/abs/2011.12649v1

• [cs.CL]The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability
Sunipa Dev
http://arxiv.org/abs/2011.12465v1

• [cs.CL]XTQA: Span-Level Explanations of the Textbook Question Answering
Jie Ma, Jun Liu, Yaxian Wang, Qinghua Zheng, Qingyu Yin, Jianlong Zhou, Yi Huang
http://arxiv.org/abs/2011.12662v1

• [cs.CR]Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning
Hangyu Zhu, Rui Wang, Yaochu Jin, Kaitai Liang, Jianting Ning
http://arxiv.org/abs/2011.12623v1

• [cs.CR]Lethean Attack: An Online Data Poisoning Technique
Eyal Perry
http://arxiv.org/abs/2011.12355v1

• [cs.CR]Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack
Rui Shu, Tianpei Xia, Laurie Williams, Tim Menzies
http://arxiv.org/abs/2011.12720v1

• [cs.CR]On the Serverless Nature of Blockchains and Smart Contracts
Vladimir Yussupov, Ghareeb Falazi, Uwe Breitenbücher, Frank Leymann
http://arxiv.org/abs/2011.12729v1

• [cs.CR]Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints
Luis F. Abanto-Leon, Andreas Baeuml, Gek Hong, Sim, Matthias Hollick, Arash Asadi
http://arxiv.org/abs/2011.12644v1

• [cs.CR]SurFree: a fast surrogate-free black-box attack
Thibault Maho, Teddy Furon, Erwan Le Merrer
http://arxiv.org/abs/2011.12807v1

• [cs.CR]Towards Mass Adoption of Contact Tracing Apps — Learning from Users’ Preferences to Improve App Design
Dana Naous, Manus Bonner, Mathias Humbert, Christine Legner
http://arxiv.org/abs/2011.12329v1

• [cs.CV]A3D: Adaptive 3D Networks for Video Action Recognition
Sijie Zhu, Taojiannan Yang, Matias Mendieta, Chen Chen
http://arxiv.org/abs/2011.12384v1

• [cs.CV]Adversarial Attack on Facial Recognition using Visible Light
Morgan Frearson, Kien Nguyen
http://arxiv.org/abs/2011.12680v1

• [cs.CV]Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
Ivan Evtimov, Russel Howes, Brian Dolhansky, Hamed Firooz, Cristian Canton
http://arxiv.org/abs/2011.12902v1

• [cs.CV]Attention Aware Cost Volume Pyramid Based Multi-view Stereo Network for 3D Reconstruction
Anzhu Yu, Wenyue Guo, Bing Liu, Xin Chen, Xin Wang, Xuefeng Cao, Bingchuan Jiang
http://arxiv.org/abs/2011.12722v1

• [cs.CV]Auto Graph Encoder-Decoder for Model Compression and Network Acceleration
Sixing Yu, Arya Mazaheri, Ali Jannesari
http://arxiv.org/abs/2011.12641v1

• [cs.CV]Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval
Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg
http://arxiv.org/abs/2011.12663v1

• [cs.CV]Building 3D Morphable Models from a Single Scan
Skylar Sutherland, Bernhard Egger, Joshua Tenenbaum
http://arxiv.org/abs/2011.12440v1

• [cs.CV]CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee
http://arxiv.org/abs/2011.12077v2

• [cs.CV]CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking
Heng Fan, Haibin Ling
http://arxiv.org/abs/2011.12483v1

• [cs.CV]CellSegmenter: unsupervised representation learning and instance segmentation of modular images
Luca D’Alessio, Mehrtash Babadi
http://arxiv.org/abs/2011.12482v1

• [cs.CV]CircleGAN: Generative Adversarial Learning across Spherical Circles
Woohyeon Shim, Minsu Cho
http://arxiv.org/abs/2011.12486v1

• [cs.CV]Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings
Jaskirat Singh, Liang Zheng
http://arxiv.org/abs/2011.12589v1

• [cs.CV]Continuous Surface Embeddings
Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
http://arxiv.org/abs/2011.12438v1

• [cs.CV]DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects
Rahul Sajnani, AadilMehdi Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna
http://arxiv.org/abs/2011.12912v1

• [cs.CV]DeRF: Decomposed Radiance Fields
Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi
http://arxiv.org/abs/2011.12490v1

• [cs.CV]Deep Magnification-Arbitrary Upsampling over 3D Point Clouds
Yue Qian, Junhui Hou, Sam Kwong, Ying He
http://arxiv.org/abs/2011.12745v1

• [cs.CV]Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture
Yue Li, Marc Habermann, Bernhard Thomaszewski, Stelian Coros, Thabo Beeler, Christian Theobalt
http://arxiv.org/abs/2011.12866v1

• [cs.CV]Deep-learning coupled with novel classification method to classify the urban environment of the developing world
Qianwei Cheng, AKM Mahbubur Rahman, Anis Sarker, Abu Bakar Siddik Nayem, Ovi Paul, Amin Ahsan Ali, M Ashraful Amin, Ryosuke Shibasaki, Moinul Zaber
http://arxiv.org/abs/2011.12847v1

• [cs.CV]Deformable Neural Radiance Fields
Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Steven M. Seitz, Ricardo-Martin Brualla
http://arxiv.org/abs/2011.12948v1

• [cs.CV]Delving Deep into Label Smoothing
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li, Ming-Ming Cheng
http://arxiv.org/abs/2011.12562v1

• [cs.CV]Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation
Sicheng Zhao, Xuanbai Chen, Xiangyu Yue, Chuang Lin, Pengfei Xu, Ravi Krishna, Jufeng Yang, Guiguang Ding, Alberto L. Sangiovanni-Vincentelli, Kurt Keutzer
http://arxiv.org/abs/2011.12470v1

• [cs.CV]Enhanced 3DMM Attribute Control via Synthetic Dataset Creation Pipeline
Wonwoong Cho, Inyeop Lee, David Inouye
http://arxiv.org/abs/2011.12833v1

• [cs.CV]Face recognition using PCA integrated with Delaunay triangulation
Kavan Adeshara, Vinayak Elangovan
http://arxiv.org/abs/2011.12786v1

• [cs.CV]Fast Object Segmentation Learning with Kernel-based Methods for Robotics
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
http://arxiv.org/abs/2011.12805v1

• [cs.CV]Fast Region Proposal Learning for Object Detection for Robotics
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
http://arxiv.org/abs/2011.12790v1

• [cs.CV]Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection
Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
http://arxiv.org/abs/2011.12885v1

• [cs.CV]Humble Teacher and Eager Student: Dual Network Learning for Semi-supervised 2D Human Pose Estimation
Rongchang Xie, Chunyu Wang, Wenjun Zeng, Yizhou Wang
http://arxiv.org/abs/2011.12498v1

• [cs.CV]ImCLR: Implicit Contrastive Learning for Image Classification
John Chen, Samarth Sinha, Anastasios Kyrillidis
http://arxiv.org/abs/2011.12618v1

• [cs.CV]Image Inpainting with Contextual Reconstruction Loss
Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel
http://arxiv.org/abs/2011.12836v1

• [cs.CV]Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
Prateek Katiyar, Anna Khoreva
http://arxiv.org/abs/2011.12636v1

• [cs.CV]Interpreting U-Nets via Task-Driven Multiscale Dictionary Learning
Tianlin Liu, Anadi Chaman, David Belius, Ivan Dokmanić
http://arxiv.org/abs/2011.12815v1

• [cs.CV]Match Them Up: Visually Explainable Few-shot Image Classification
Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara
http://arxiv.org/abs/2011.12527v1

• [cs.CV]Multi-Domain Adversarial Feature Generalization for Person Re-Identification
Shan Lin, Chang-Tsun Li, Alex C. Kot
http://arxiv.org/abs/2011.12563v1

• [cs.CV]Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity
Qinyan Huang, Weiwen Zhou, Minjie Wan, Xin Chen, Qian Chen, Guohua Gu
http://arxiv.org/abs/2011.12492v1

• [cs.CV]Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample
Itamar Winter, Daphna Weinshall
http://arxiv.org/abs/2011.12942v1

• [cs.CV]Multimodal Learning for Hateful Memes Detection
Yi Zhou, Zhenhao Chen
http://arxiv.org/abs/2011.12870v1

• [cs.CV]Online Domain Adaptation for Continuous Cross-Subject Liver Viability Evaluation Based on Irregular Thermal Data
Sahand Hajifar, Hongyue Sun
http://arxiv.org/abs/2011.12408v1

• [cs.CV]Open-World Learning Without Labels
Mohsen Jafarzadeh, Akshay Raj Dhamija, Steve Cruz, Chunchun Li, Touqeer Ahmad, Terrance E. Boult
http://arxiv.org/abs/2011.12906v1

• [cs.CV]PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
Yutong Xie, Jianpeng Zhang, Zehui Liao, Yong Xia, Chunhua Shen
http://arxiv.org/abs/2011.12640v1

• [cs.CV]Play Fair: Frame Attributions in Video Models
Will Price, Dima Damen
http://arxiv.org/abs/2011.12372v1

• [cs.CV]Privacy-preserving Collaborative Learning with Automatic Transformation Search
Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu
http://arxiv.org/abs/2011.12505v1

• [cs.CV]Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta-Rodríguez, Florinda Feroce, Anna Maria Anniciello, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel
http://arxiv.org/abs/2011.12646v1

• [cs.CV]Recalibration of Neural Networks for Point Cloud Analysis
Ignacio Sarasua, Sebastian Poelsterl, Christian Wachinger
http://arxiv.org/abs/2011.12888v1

• [cs.CV]Recent Progress in Appearance-based Action Recognition
Jack Humphreys, Zhe Chen, Dacheng Tao
http://arxiv.org/abs/2011.12619v1

• [cs.CV]Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
Qi Liu, Hui Yuan, Raouf Hamzaoui, Honglei Su, Junhui Hou, Huan Yang
http://arxiv.org/abs/2011.12688v1

• [cs.CV]Reference-Based Video Colorization with Spatiotemporal Correspondence
Naofumi Akimoto, Akio Hayakawa, Andrew Shin, Takuya Narihira
http://arxiv.org/abs/2011.12528v1

• [cs.CV]Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation
Can Chen, Luca Zanotti Fragonara, Antonios Tsourdos
http://arxiv.org/abs/2011.12850v1

• [cs.CV]Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map
Xizhe Xue, Ying Li, Qiang Shen
http://arxiv.org/abs/2011.12550v1

• [cs.CV]SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla
http://arxiv.org/abs/2011.12430v1

• [cs.CV]Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methods
Victor Saase, Holger Wenz, Thomas Ganslandt, Christoph Groden, Máté E. Maros
http://arxiv.org/abs/2011.12735v1

• [cs.CV]Space-time Neural Irradiance Fields for Free-Viewpoint Video
Wenqi Xian, Jia-Bin Huang, Johannes Kopf, Changil Kim
http://arxiv.org/abs/2011.12950v1

• [cs.CV]Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo
http://arxiv.org/abs/2011.12450v1

• [cs.CV]StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation
Zongze Wu, Dani Lischinski, Eli Shechtman
http://arxiv.org/abs/2011.12799v1

• [cs.CV]Supercharging Imbalanced Data Learning With Causal Representation Transfer
Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao
http://arxiv.org/abs/2011.12454v1

• [cs.CV]Transfer Learning for Aided Target Recognition: Comparing Deep Learning to other Machine Learning Approaches
Samuel Rivera, Olga Mendoza-Schrock, Ashley Diehl
http://arxiv.org/abs/2011.12762v1

• [cs.CV]UFPR-Periocular: A Periocular Dataset Collected by Mobile Devices in Unconstrained Scenarios
Luiz A. Zanlorensi, Rayson Laroca, Diego R. Lucio, Lucas R. Santos, Alceu S. Britto Jr., David Menotti
http://arxiv.org/abs/2011.12427v1

• [cs.CV]Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
Marco Toldo, Umberto Michieli, Pietro Zanuttigh
http://arxiv.org/abs/2011.12616v1

• [cs.CV]Unsupervised Object Detection with LiDAR Clues
Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu
http://arxiv.org/abs/2011.12953v1

• [cs.CV]Unsupervised Object Keypoint Learning using Local Spatial Predictability
Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
http://arxiv.org/abs/2011.12930v1

• [cs.CV]Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays
Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng
http://arxiv.org/abs/2011.12506v1

• [cs.CY]AI virtues — The missing link in putting AI ethics into practice
Thilo Hagendorff
http://arxiv.org/abs/2011.12750v1

• [cs.CY]An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing Country
Soliman Aljarboa, Shah J. Miah
http://arxiv.org/abs/2011.12620v1

• [cs.CY]Assessing the Quality of Gridded Population Data for Quantifying the Population Living in Deprived Communities
Agatha C. H. de Mattos, Gavin McArdle, Michela Bertolotto
http://arxiv.org/abs/2011.12923v1

• [cs.CY]COVID-19 and Social Distancing: Disparities in Mobility Adaptation by Income
Kentaro Iio, Xiaoyu Guo, Xiaoqiang “Jack” Kong, Kelly Rees, Xiubin Bruce Wang
http://arxiv.org/abs/2011.12510v1

• [cs.CY]Influence of Murder Incident of Ride-hailing Drivers on Ride-hailing User’s Consuming Willingness in Nanchang
Guangxin He, Shenghuan Yang, Miaomiao Lei, Xing Wu, Yixin Sun, Yimeng Dang
http://arxiv.org/abs/2011.11384v1

• [cs.DB]OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs
Jing Yang, Chun Ouyang, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Yang Yu
http://arxiv.org/abs/2011.12445v1

• [cs.DC]An $O(\log^{3/2}n)$ Parallel Time Population Protocol for Majority with $O(\log n)$ States
Stav Ben-Nun, Tsvi Kopelowitz, Matan Kraus, Ely Porat
http://arxiv.org/abs/2011.12633v1

• [cs.DC]Characterization and Derivation of Heard-Of Predicates for Asynchronous Message-Passing Models
Adam Shimi, Aurélie Hurault, Philippe Queinnec
http://arxiv.org/abs/2011.12879v1

• [cs.DC]Locally Solvable Tasks and the Limitations of Valency Arguments
Hagit Attiya, Armando Castañeda, Sergio Rajsbaum
http://arxiv.org/abs/2011.10436v2

• [cs.DC]Optimizing Resource-Efficiency for Federated Edge Intelligence in IoT Networks
Yong Xiao, Yingyu Li, Guangming Shi, H. Vincent Poor
http://arxiv.org/abs/2011.12691v1

• [cs.DC]Proposal of Automatic Offloading Method in Mixed Offloading Destination Environment
Yoji Yamato
http://arxiv.org/abs/2011.12431v1

• [cs.DC]Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS
Rahulkumar Gayatri, Stan Moore, Evan Weinberg, Nicholas Lubbers, Sarah Anderson, Jack Deslippe, Danny Perez, Aidan P. Thompson
http://arxiv.org/abs/2011.12875v1

• [cs.GR]StyleUV: Diverse and High-fidelity UV Map Generative Model
Myunggi Lee, Wonwoong Cho, Moonheum Kim, David Inouye, Nojun Kwak
http://arxiv.org/abs/2011.12893v1

• [cs.IR]Denmark’s Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19
Lucas Chaves Lima, Casper Hansen, Christian Hansen, Dongsheng Wang, Maria Maistro, Birger Larsen, Jakob Grue Simonsen, Christina Lioma
http://arxiv.org/abs/2011.12684v1

• [cs.IR]Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network
Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
http://arxiv.org/abs/2011.12683v1

• [cs.IR]RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating
Linhao Luo, Liqi Yang, Ju Xin, Yixiang Fang, Xiaofeng Zhang, Xiaofei Yang, Kai Chen, Zhiyuan Zhang, Kai Liu
http://arxiv.org/abs/2011.12586v1

• [cs.IT]A Statistical Characterization of Localization Performance in Millimeter-Wave Cellular Networks
Jiajun He, Young Jin Chun
http://arxiv.org/abs/2011.11925v2

• [cs.IT]Bounds for Algorithmic Mutual Information and a Unifilar Order Estimator
Łukasz Dębowski
http://arxiv.org/abs/2011.12845v1

• [cs.IT]Deep Learning-based Resource Allocation For Device-to-Device Communication
Woongsup Lee, Robert Schober
http://arxiv.org/abs/2011.12757v1

• [cs.IT]Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems
Chenghao Feng, Wenqian Shen, Xinyu Gao, Jianping An, Lajos Hanzo
http://arxiv.org/abs/2011.12475v1

• [cs.IT]Energy-Efficient Task Offloading and Resource Allocation in Mobile Edge Computing with Sequential Task Dependency
Xuming An, Rongfei Fan, Han Hu, Ning Zhang
http://arxiv.org/abs/2011.12552v1

• [cs.IT]Learning sparse structures for physics-inspired compressed sensing
Clément Dorffer, Thomas Paviet-Salomon, Gilles Le Chenadec, Angélique Drémeau
http://arxiv.org/abs/2011.12831v1

• [cs.IT]Multiple Transmit Power Levels based NOMA for Massive Machine-type Communications
Wenqiang Yi, Wenjuan Yu, Yuanwei Liu, Chuan Heng Foh, Zhiguo Ding, Arumugam Nallanathan
http://arxiv.org/abs/2011.12388v1

• [cs.IT]Recursive Projection-Aggregation Decoding of Reed-Muller Codes
Dorsa Fathollahi, Nariman Farsad, Seyyed Ali Hashemi, Marco Mondelli
http://arxiv.org/abs/2011.12882v1

• [cs.IT]Relay Selection & Power Allocation for Maximizing Sum-Throughput of a Buffered Relay Network
F. A. Khan, Z. A. Malik, A. A. Nasir, M. Masood
http://arxiv.org/abs/2011.12918v1

• [cs.IT]Secure GDoF of the Z-channel with Finite Precision CSIT: How Robust are Structured Codes?
Yao-Chia Chan, Syed A. Jafar
http://arxiv.org/abs/2011.12947v1

• [cs.IT]Wedge-Lifted Codes
Jabari Hastings, Amy Kanne, Ray Li, Mary Wootters
http://arxiv.org/abs/2011.12435v1

• [cs.LG]A Non-linear Function-on-Function Model for Regression with Time Series Data
Qiyao Wang, Haiyan Wang, Chetan Gupta, Aniruddha Rajendra Rao, Hamed Khorasgani
http://arxiv.org/abs/2011.12378v1

• [cs.LG]AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders
Alex Glushkovsky
http://arxiv.org/abs/2011.12090v1

• [cs.LG]Adam$^+$: A Stochastic Method with Adaptive Variance Reduction
Mingrui Liu, Wei Zhang, Francesco Orabona, Tianbao Yang
http://arxiv.org/abs/2011.11985v1

• [cs.LG]Analyzing the Machine Learning Conference Review Process
David Tran, Alex Valtchanov, Keshav Ganapathy, Raymond Feng, Eric Slud, Micah Goldblum, Tom Goldstein
http://arxiv.org/abs/2011.12919v1

• [cs.LG]Attention-Based Learning on Molecular Ensembles
Kangway V. Chuang, Michael J. Keiser
http://arxiv.org/abs/2011.12820v1

• [cs.LG]Batch Normalization Embeddings for Deep Domain Generalization
Mattia Segù, Alessio Tonioni, Federico Tombari
http://arxiv.org/abs/2011.12672v1

• [cs.LG]C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner, Anthony L. Caterini, Jesse C. Cresswell, Tong Li, Animesh Garg
http://arxiv.org/abs/2011.12363v1

• [cs.LG]Causal inference using deep neural networks
Ye Yuan, Xueying Ding, Ziv Bar-Joseph
http://arxiv.org/abs/2011.12508v1

• [cs.LG]Consistency-aware and Inconsistency-aware Graph-based Multi-view Clustering
Mitsuhiko Horie, Hiroyuki Kasai
http://arxiv.org/abs/2011.12532v1

• [cs.LG]Continual learning with direction-constrained optimization
Yunfei Teng, Anna Choromanska, Murray Campbell
http://arxiv.org/abs/2011.12581v1

• [cs.LG]Cyclic Label Propagation for Graph Semi-supervised Learning
Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu
http://arxiv.org/abs/2011.11860v1

• [cs.LG]DeepKoCo: Efficient latent planning with an invariant Koopman representation
Bas van der Heijden, Laura Ferranti, Jens Kober, Robert Babuska
http://arxiv.org/abs/2011.12690v1

• [cs.LG]Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng
http://arxiv.org/abs/2011.11826v1

• [cs.LG]Differentially Private Learning Needs Better Features (or Much More Data)
Florian Tramèr, Dan Boneh
http://arxiv.org/abs/2011.11660v1

• [cs.LG]Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang, Zhanghao Wu, Michael Luo, Sven Mika, Ion Stoica
http://arxiv.org/abs/2011.12719v1

• [cs.LG]Effective and Sparse Count-Sketch via k-means clustering
Yuhan Wang, Zijian Lei, Liang Lan
http://arxiv.org/abs/2011.12046v1

• [cs.LG]Efficient Construction of Nonlinear Models overNormalized Data
Zhaoyue Chen, Nick Koudas, Zhe Zhang, Xiaohui Yu
http://arxiv.org/abs/2011.11682v1

• [cs.LG]Energy Forecasting in Smart Grid Systems: A Review of the State-of-the-art Techniques
Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud, ZhaoYang Dong
http://arxiv.org/abs/2011.12598v1

• [cs.LG]Enhanced Scene Specificity with Sparse Dynamic Value Estimation
Jaskirat Singh, Liang Zheng
http://arxiv.org/abs/2011.12574v1

• [cs.LG]Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning
Matej Petković, Dragi Kocev, Blaž Škrlj, Sašo Džeroski
http://arxiv.org/abs/2011.11679v1

• [cs.LG]Equivariant Conditional Neural Processes
Peter Holderrieth, Michael Hutchinson, Yee Whye Teh
http://arxiv.org/abs/2011.12916v1

• [cs.LG]Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant Honavar
http://arxiv.org/abs/2011.11631v1

• [cs.LG]FireSRnet: Geoscience-Driven Super-Resolution of Future Fire Risk from Climate Change
Tristan Ballard, Gopal Erinjippurath
http://arxiv.org/abs/2011.12353v1

• [cs.LG]Generalized Variational Continual Learning
Noel Loo, Siddharth Swaroop, Richard E. Turner
http://arxiv.org/abs/2011.12328v1

• [cs.LG]Hindsight Network Credit Assignment
Kenny Young
http://arxiv.org/abs/2011.12351v1

• [cs.LG]Implicit bias of deep linear networks in the large learning rate phase
Wei Huang, Weitao Du, Richard Yi Da Xu, Chunrui Liu
http://arxiv.org/abs/2011.12547v1

• [cs.LG]Improving Clinical Outcome Predictions Using Convolution overMedical Entities with Multimodal Learning
Batuhan Bardak, Mehmet Tan
http://arxiv.org/abs/2011.12349v1

• [cs.LG]Interpretable Models in ANNs
Yang Li
http://arxiv.org/abs/2011.12424v1

• [cs.LG]Invariant Representation Learning for Treatment Effect Estimation
Claudia Shi, Victor Veitch, David Blei
http://arxiv.org/abs/2011.12379v1

• [cs.LG]Latent Group Structured Multi-task Learning
Xiangyu Niu, Yifan Sun, Jinyuan Sun
http://arxiv.org/abs/2011.11904v1

• [cs.LG]Learnable and Instance-Robust Predictions for Online Matching, Flows and Load Balancing
Thomas Lavastida, Benjamin Moseley, R. Ravi, Chenyang Xu
http://arxiv.org/abs/2011.11743v1

• [cs.LG]Learning Principle of Least Action with Reinforcement Learning
Zehao Jin, Joshua Yao-Yu Lin, Siao-Fong Li
http://arxiv.org/abs/2011.11891v1

• [cs.LG]Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
Yingying Li, Na Li
http://arxiv.org/abs/2011.12539v1

• [cs.LG]Lipophilicity Prediction with Multitask Learning and Molecular Substructures Representation
Nina Lukashina, Alisa Alenicheva, Elizaveta Vlasova, Artem Kondiukov, Aigul Khakimova, Emil Magerramov, Nikita Churikov, Aleksei Shpilman
http://arxiv.org/abs/2011.12117v1

• [cs.LG]MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang
http://arxiv.org/abs/2011.12511v1

• [cs.LG]Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
http://arxiv.org/abs/2011.12208v1

• [cs.LG]No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
Nimit S. Sohoni, Jared A. Dunnmon, Geoffrey Angus, Albert Gu, Christopher Ré
http://arxiv.org/abs/2011.12945v1

• [cs.LG]Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman, Komminist Weldemariam
http://arxiv.org/abs/2011.12707v1

• [cs.LG]Provably-Robust Runtime Monitoring of Neuron Activation Patterns
Chih-Hong Cheng
http://arxiv.org/abs/2011.11959v1

• [cs.LG]RTFN: A Robust Temporal Feature Network for Time Series Classification
Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan
http://arxiv.org/abs/2011.11829v1

• [cs.LG]Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs
Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon
http://arxiv.org/abs/2011.12737v1

• [cs.LG]Regret-optimal measurement-feedback control
Gautam Goel, Babak Hassobi
http://arxiv.org/abs/2011.12785v1

• [cs.LG]Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting with their Explanations
Wolfgang Stammer, Patrick Schramowski, Kristian Kersting
http://arxiv.org/abs/2011.12854v1

• [cs.LG]Solving The Lunar Lander Problem under Uncertainty using Reinforcement Learning
Soham Gadgil, Yunfeng Xin, Chengzhe Xu
http://arxiv.org/abs/2011.11850v1

• [cs.LG]Stochastic sparse adversarial attacks
Hatem Hajri, Manon Césaire, Théo Combey, Sylvain Lamprier, Patrick Gallinari
http://arxiv.org/abs/2011.12423v1

• [cs.LG]TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang
http://arxiv.org/abs/2011.12895v1

• [cs.LG]Temporal Autoencoder with U-Net Style Skip-Connections for Frame Prediction
Jay Santokhi, Pankaj Daga, Joned Sarwar, Anna Jordan, Emil Hewage
http://arxiv.org/abs/2011.12661v1

• [cs.LG]Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Minh N. H. Nguyen, Nguyen H. Tran, Yan Kyaw Tun, Zhu Han, Choong Seon Hong
http://arxiv.org/abs/2011.12469v1

• [cs.LG]Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning
Luiz F. O. Chamon, Santiago Paternain, Alejandro Ribeiro
http://arxiv.org/abs/2011.12344v1

• [cs.LG]Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
Cheng Wang, Carolin Lawrence, Mathias Niepert
http://arxiv.org/abs/2011.12010v1

• [cs.LG]Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints
Francesco Tonin, Panagiotis Patrinos, Johan A. K. Suykens
http://arxiv.org/abs/2011.12659v1

• [cs.LG]Wasserstein k-means with sparse simplex projection
Takumi Fukunaga, Hiroyuki Kasai
http://arxiv.org/abs/2011.12542v1

• [cs.LG]WeiPS: a symmetric fusion model framework for large-scale online learning
Xiang Yu, Fuping Chu, Junqi Wu, Bo Huang
http://arxiv.org/abs/2011.11983v1

• [cs.LG]Wide-band butterfly network: stable and efficient inversion via multi-frequency neural networks
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
http://arxiv.org/abs/2011.12413v1

• [cs.LG]torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation
Yoshitomo Matsubara
http://arxiv.org/abs/2011.12913v1

• [cs.NE]Modeling the Evolution of Retina Neural Network
Ziyi Gong, Paul Munro
http://arxiv.org/abs/2011.12448v1

• [cs.NE]PeleNet: A Reservoir Computing Framework for Loihi
Carlo Michaelis
http://arxiv.org/abs/2011.12338v1

• [cs.RO]A reinforcement learning control approach for underwater manipulation under position and torque constraints
Ignacio Carlucho, Mariano De Paula, Gerardo G. Acosta, Corina Barbalata
http://arxiv.org/abs/2011.12360v1

• [cs.RO]Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents
Joanne Truong, Sonia Chernova, Dhruv Batra
http://arxiv.org/abs/2011.12421v1

• [cs.RO]Experiments in Autonomous Driving Through Imitation Learning
Michael Muratov, Abdulwasay Mehar, Wan Song Lee, Michael Szpakowicz, Ose Edmond Umolu, Joshua Mazariegos Bobadilla, Ali Kuwajerwala
http://arxiv.org/abs/2011.12460v1

• [cs.RO]High-Level Description of Robot Architecture
Sabah Al-Fedaghi, Manar AlSaraf
http://arxiv.org/abs/2011.12837v1

• [cs.RO]Improving Redundancy Availability: Dynamic Subtasks Modulation for Robots with Redundancy Insufficiency
Lu Chen, Lipeng Chen, Xiangchi Chen, Yi Ren, Longfei Zhao, Yue Wang, Rong Xion
http://arxiv.org/abs/2011.12884v1

• [cs.RO]Learning Certified Control using Contraction Metric
Dawei Sun, Susmit Jha, Chuchu Fan
http://arxiv.org/abs/2011.12569v1

• [cs.RO]Mixed-Integer Linear Programming Models for Multi-Robot Non-Adversarial Search
Beatriz A. Asfora, Jacopo Banfi, Mark Campbell
http://arxiv.org/abs/2011.12480v1

• [cs.RO]Prediction-Based Reachability for Collision Avoidance in Autonomous Driving
Anjian Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Mo Chen
http://arxiv.org/abs/2011.12406v1

• [cs.RO]Redundancy Resolution and Disturbance Rejection via Torque Optimization in Hybrid Cable-Driven Robots
Ronghuai Qi, Amir Khajepour, William W. Melek
http://arxiv.org/abs/2011.12457v1

• [cs.RO]Sensorimotor representation learning for an “active self” in robots: A model survey
Phuong D. H. Nguyen, Yasmin Kim Georgie, Ezgi Kayhan, Manfred Eppe, Verena Vanessa Hafner, Stefan Wermter
http://arxiv.org/abs/2011.12860v1

• [cs.SD]MTCRNN: A multi-scale RNN for directed audio texture synthesis
M. Huzaifah, L. Wyse
http://arxiv.org/abs/2011.12596v1

• [cs.SD]Multi-Decoder DPRNN: High Accuracy Source Counting and Separation
Junzhe Zhu, Raymond Yeh, Mark Hasegawa-Johnson
http://arxiv.org/abs/2011.12022v1

• [cs.SD]SAR-Net: A End-to-End Deep Speech Accent Recognition Network
Wei Wang, Chao Zhang, Xiaopei Wu
http://arxiv.org/abs/2011.12461v1

• [cs.SD]Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding
Achintya kr. Sarkar, Zheng-Hua Tan
http://arxiv.org/abs/2011.12536v1

• [cs.SE]Code Search Intent Classification Using Weak Supervision
Nikitha Rao, Chetan Bansal, Joe Guan
http://arxiv.org/abs/2011.11950v2

• [cs.SE]Nudge: Accelerating Overdue Pull Requests Towards Completion
Chandra Maddila, Sai Surya Upadrasta, Chetan Bansal, Nachiappan Nagappan, Georgios Gousios, Arie van Deursen
http://arxiv.org/abs/2011.12468v1

• [cs.SI]A new method for community detection in social networks based on message distribution
Reyhaneh Rigia, Mehrdad Jalali, Mohammad Hosein Moattar
http://arxiv.org/abs/2011.12685v1

• [cs.SI]Evaluating the scale, growth, and origins of right-wing echo chambers on YouTube
Homa Hosseinmardi, Amir Ghasemian, Aaron Clauset, David M. Rothschild, Markus Mobius, Duncan J. Watts
http://arxiv.org/abs/2011.12843v1

• [cs.SI]Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Mahsa Baktashmotlagh
http://arxiv.org/abs/2011.12517v1

• [cs.SI]Localism as Secrecy: Efficiency-Secrecy Tradeoffs in the Recruitment of ISIS Foreign Fighters
Nate Rosenblatt
http://arxiv.org/abs/2011.12290v1

• [cs.SI]Revisiting graph neural networks and distance encoding in a practical view
Haoteng Yin, Yanbang Wang, Pan Li
http://arxiv.org/abs/2011.12228v2

• [econ.GN]The Application of Data Mining in the Production Processes
Hamza Saad
http://arxiv.org/abs/2011.12348v1

• [eess.AS]Bootstrap an end-to-end ASR system by multilingual training, transfer learning, text-to-text mapping and synthetic audio
Manuel Giollo, Deniz Gunceler, Yulan Liu, Daniel Willett
http://arxiv.org/abs/2011.12696v1

• [eess.AS]Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech
Yiling Huang, Yutian Chen, Jason Pelecanos, Quan Wang
http://arxiv.org/abs/2011.11818v1

• [eess.IV]Characterisation of CMOS Image Sensor Performance in Low Light Automotive Applications
Shane Gilroy, John O’Dwyer, Lucas Bortoleto
http://arxiv.org/abs/2011.12436v1

• [eess.IV]Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections
Christian Schiffer, Katrin Amunts, Stefan Harmeling, Timo Dickscheid
http://arxiv.org/abs/2011.12865v1

• [eess.IV]Convolutional Neural Networks for cytoarchitectonic brain mapping at large scale
Christian Schiffer, Hannah Spitzer, Kai Kiwitz, Nina Unger, Konrad Wagstyl, Alan C. Evans, Stefan Harmeling, Katrin Amunts, Timo Dickscheid
http://arxiv.org/abs/2011.12857v1

• [eess.IV]Distribution Conditional Denoising: A Flexible Discriminative Image Denoiser
Anthony Kelly
http://arxiv.org/abs/2011.12398v1

• [eess.IV]Evaluation of quality measures for color quantization
Giuliana Ramella
http://arxiv.org/abs/2011.12652v1

• [eess.IV]Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning
Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz, Jae K. Oh
http://arxiv.org/abs/2011.12429v1

• [eess.IV]Physics-informed neural networks for myocardial perfusion MRI quantification
Rudolf L. M. van Herten, Amedeo Chiribiri, Marcel Breeuwer, Mitko Veta, Cian M. Scannell
http://arxiv.org/abs/2011.12844v1

• [eess.IV]Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy
Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin
http://arxiv.org/abs/2011.12835v1

• [eess.IV]Rank-One Network: An Effective Framework for Image Restoration
Shangqi Gao, Xiahai Zhuang
http://arxiv.org/abs/2011.12610v1

• [eess.IV]Single-Image Lens Flare Removal
Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan Barron
http://arxiv.org/abs/2011.12485v1

• [eess.IV]The Unreasonable Effectiveness of Encoder-Decoder Networks for Retinal Vessel Segmentation
Björn Browatzki, Jörn-Philipp Lies, Christian Wallraven
http://arxiv.org/abs/2011.12643v1

• [eess.SP]A Reusable Framework Based on Reinforcement Learning to Design Antennas for Curved Surfaces
Enrique Lizarraga, Walter Herrera
http://arxiv.org/abs/2011.12131v1

• [eess.SP]Peer Offloading with Delayed Feedback in Fog Networks
Miao Yang, Hongbin Zhu, Hua Qian, Yevgeni Koucheryavy, Konstantin Samouylov, Haifeng Wang
http://arxiv.org/abs/2011.11835v1

• [eess.SP]Quantized Neural Networks for Radar Interference Mitigation
Johanna Rock, Wolfgang Roth, Mate Toth, Paul Meissner, Franz Pernkopf
http://arxiv.org/abs/2011.12706v1

• [eess.SY]A Generalizable Model for Fault Detection in Offshore Wind Turbines Based on Deep Learning
Soorena Salari, Nasser Sadati
http://arxiv.org/abs/2011.12130v2

• [math.OC]Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations
Ta-Chu Kao, Guillaume Hennequin
http://arxiv.org/abs/2011.11430v2

• [math.OC]Exploratory LQG Mean Field Games with Entropy Regularization
Dena Firoozi, Sebastian Jaimungal
http://arxiv.org/abs/2011.12946v1

• [math.OC]Linear Convergence of Distributed Mirror Descent with Integral Feedback for Strongly Convex Problems
Youbang Sun, Shahin Shahrampour
http://arxiv.org/abs/2011.12233v1

• [math.OC]Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence
Joao Paulo Jansch-Porto, Bin Hu, Geir Dullerud
http://arxiv.org/abs/2011.11852v1

• [math.OC]Reinforced optimal control
Christian Bayer, Denis Belomestny, Paul Hager, Paolo Pigato, John Schoenmakers, Vladimir Spokoiny
http://arxiv.org/abs/2011.12382v1

• [math.OC]Sequential convergence of AdaGrad algorithm for smooth convex optimization
Cheik Traoré, Edouard Pauwels
http://arxiv.org/abs/2011.12341v1

• [math.ST]A Lepski-type stopping rule for the covariance estimation of multi-dimensional Lévy processes
Katerina Papagiannouli
http://arxiv.org/abs/2011.12697v1

• [math.ST]On the nonparametric inference of coefficients of self-exciting jump-diffusion
Chiara Amorino, Charlotte Dion, Arnaud Gloter, Sarah Lemler
http://arxiv.org/abs/2011.12387v1

• [math.ST]Optimal Mean Estimation without a Variance
Yeshwanth Cherapanamjeri, Nilesh Tripuraneni, Peter L. Bartlett, Michael I. Jordan
http://arxiv.org/abs/2011.12433v1

• [math.ST]Post-Processed Posteriors for Banded Covariances
Kwangmin Lee, Kyoungjae Lee, Jaeyong Lee
http://arxiv.org/abs/2011.12627v1

• [math.ST]The standard cure model with a linear hazard
Emil Aas Stoltenberg
http://arxiv.org/abs/2011.12858v1

• [physics.optics]Machine Learning enables Ultra-Compact Integrated Photonics through Silicon-Nanopattern Digital Metamaterials
Sourangsu Banerji, Apratim Majumder, Alex Hamrick, Rajesh Menon, Berardi Sensale-Rodriguez
http://arxiv.org/abs/2011.11754v1

• [physics.plasm-ph]Automatic Identification of MHD Modes in Magnetic Fluctuations Spectrograms using Deep Learning Techniques
A. Bustos, E. Ascasibar, A. Cappa, R. Mayo-Garcia
http://arxiv.org/abs/2011.12615v1

• [physics.soc-ph]Optimal risk in wealth exchange models: agent dynamics from a microscopic perspective
Julian Neñer, María Fabiana Laguna
http://arxiv.org/abs/2011.12776v1

• [q-bio.PE]A Mathematical Dashboard for the Analysis of Italian COVID-19 Epidemic Data
Nicola Parolini, Giovanni Ardenghi, Luca Dede’, Alfio Quarteroni
http://arxiv.org/abs/2011.11109v2

• [q-bio.PE]Improving epidemic testing and containment strategies using machine learning
Laura Natali, Saga Helgadottir, Onofrio M. Marago, Giovanni Volpe
http://arxiv.org/abs/2011.11717v1

• [stat.AP]Congestion in near capacity metro operations: optimum boardings and alightings at bottleneck stations
Anupriya, Daniel J. Graham, Prateek Bansal, Daniel Hörcher, Richard Anderson
http://arxiv.org/abs/2011.12487v1

• [stat.AP]Multivariate hierarchical analysis of car crashes data considering a spatial network lattice
Andrea Gilardi, Jorge Mateu, Riccardo Borgoni, Robin Lovelace
http://arxiv.org/abs/2011.12595v1

• [stat.AP]Surrogate-based Bayesian Comparison of Computationally Expensive Models: Application to Microbially Induced Calcite Precipitation
Stefania Scheurer, Aline Schäfer Rodrigues Silva, Farid Mohammadi, Johannes Hommel, Sergey Oladyshkin, Bernd Flemisch, Wolfgang Nowak
http://arxiv.org/abs/2011.12756v1

• [stat.ME]A Bayesian semi-parametric approach for inference on the population partly conditional mean from longitudinal data with dropout
Maria Josefsson, Michael J. Daniels, Sara Pudas
http://arxiv.org/abs/2011.12345v1

• [stat.ME]A spectral-based framework for hypothesis testing in populations of networks
Li Chen, Nathaniel Josephs, Lizhen Lin, Jie Zhou, Eric D. Kolaczyk
http://arxiv.org/abs/2011.12416v1

• [stat.ME]Doubly Robust Adaptive LASSO for Effect Modifier Discovery
Asma Bahamyirou, Mireille E. Schnitzer, Edward H. Kennedy, Lucie Blais, Yi Yang
http://arxiv.org/abs/2011.12746v1

• [stat.ME]Elastic $k$-means clustering of functional data for posterior exploration, with an application to inference on acute respiratory infection dynamics
Xiao Zang, Sebastian Kurtek, Oksana Chkrebtii, J. Derek Tucker
http://arxiv.org/abs/2011.12397v1

• [stat.ME]Elliptical Symmetry Tests in \proglang{R}
Slađana Babić, Christophe Ley, Marko Palangetić
http://arxiv.org/abs/2011.12560v1

• [stat.ME]Functional Principal Component Analysis of Cointegrated Functional Time Series
Won-Ki Seo
http://arxiv.org/abs/2011.12781v1

• [stat.ME]Hybrid Confidence Intervals for Informative Uniform Asymptotic Inference After Model Selection
Adam McCloskey
http://arxiv.org/abs/2011.12873v1

• [stat.ME]Modern Multiple Imputation with Functional Data
Aniruddha Rajendra Rao, Matthew Reimherr
http://arxiv.org/abs/2011.12509v1

• [stat.ME]Semiparametric Estimation for Causal Mediation Analysis with Multiple Causally Ordered Mediators
Xiang Zhou
http://arxiv.org/abs/2011.12751v1

• [stat.ME]Thirty Years of The Network Scale up Method
Ian Laga, Le Bao, Xiaoyue Niu
http://arxiv.org/abs/2011.12516v1

• [stat.ME]Unstructured Primary Outcome in Randomized Controlled Trials
Daniel Taylor-Rodriguez, David Lovitz, Nora Mattek, Chao-Yi Wu, Hiroko Dodge, Jeffrey Kaye, Bruno M. Jedynak
http://arxiv.org/abs/2011.12901v1

• [stat.ML]All You Need is a Good Functional Prior for Bayesian Deep Learning
Ba-Hien Tran, Simone Rossi, Dimitrios Milios, Maurizio Filippone
http://arxiv.org/abs/2011.12829v1

• [stat.ML]Feature space approximation for kernel-based supervised learning
Patrick Gelß, Stefan Klus, Ingmar Schuster, Christof Schütte
http://arxiv.org/abs/2011.12651v1

• [stat.ML]Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization
Gersende Fort, Eric Moulines, Hoi-To Wai
http://arxiv.org/abs/2011.12392v1

• [stat.ML]Minimax Estimation of Distances on a Surface and Minimax Manifold Learning in the Isometric-to-Convex Setting
Ery Arias-Castro, Phong Alain Chau
http://arxiv.org/abs/2011.12478v1

• [stat.ML]Symmetry-Aware Actor-Critic for 3D Molecular Design
Gregor N. C. Simm, Robert Pinsler, Gábor Csányi, José Miguel Hernández-Lobato
http://arxiv.org/abs/2011.12747v1

• [stat.ML]The dynamics of learning with feedback alignment
Maria Refinetti, Stéphane d’Ascoli, Ruben Ohana, Sebastian Goldt
http://arxiv.org/abs/2011.12428v1