astro-ph.IM - 仪器仪表和天体物理学方法
astro-ph.SR - 太阳和天体物理学恒星 cs.AI - 人工智能 cs.CC - 计算复杂度 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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MA - 多代理系统 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.DS - 动力系统 math.NA - 数值分析 math.PR - 概率 math.ST - 统计理论 q-bio.BM - 生物分子 q-bio.PE - 人口与发展 q-fin.CP -计算金融学 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [astro-ph.IM]Model Optimization for Deep Space Exploration via Simulators and Deep Learning
• [astro-ph.IM]Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX
• [astro-ph.SR]Shape-based Feature Engineering for Solar Flare Prediction
• [cs.AI]A new class of generative classifiers based on staged tree models
• [cs.AI]Brain-inspired Search Engine Assistant based on Knowledge Graph
• [cs.AI]Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics
• [cs.AI]Counting the Number of Solutions to Constraints
• [cs.AI]Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving
• [cs.AI]Logic Tensor Networks
• [cs.AI]Stability-Certified Reinforcement Learning via Spectral Normalization
• [cs.AI]Technical Report: Flushing Strategies in Drinking Water Systems
• [cs.AI]Towards sample-efficient episodic control with DAC-ML
• [cs.AI]Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
• [cs.CC]Learning algorithms from circuit lower bounds
• [cs.CL]ALP-KD: Attention-Based Layer Projection for Knowledge Distillation
• [cs.CL]Adaptive Convolution for Semantic Role Labeling
• [cs.CL]An Embarrassingly Simple Model for Dialogue Relation Extraction
• [cs.CL]Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning
• [cs.CL]BURT: BERT-inspired Universal Representation from Learning Meaningful Segment
• [cs.CL]DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language
• [cs.CL]Explaining NLP Models via Minimal Contrastive Editing (MiCE)
• [cs.CL]Fine-grained Emotion and Intent Learning in Movie Dialogues
• [cs.CL]Inserting Information Bottlenecks for Attribution in Transformers
• [cs.CL]LOREN: Logic Enhanced Neural Reasoning for Fact Verification
• [cs.CL]Learning Light-Weight Translation Models from Deep Transformer
• [cs.CL]MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
• [cs.CL]My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism
• [cs.CL]Neural Text Generation with Artificial Negative Examples
• [cs.CL]On Generating Extended Summaries of Long Documents
• [cs.CL]Panarchy: ripples of a boundary concept
• [cs.CL]Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval
• [cs.CL]Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking
• [cs.CL]SG-Net: Syntax Guided Transformer for Language Representation
• [cs.CL]SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
• [cs.CL]Syntax-Enhanced Pre-trained Model
• [cs.CL]Towards Fully Automated Manga Translation
• [cs.CL]Universal Sentence Representation Learning with Conditional Masked Language Model
• [cs.CR]FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
• [cs.CR]Spread-Transform Dither Modulation Watermarking of Deep Neural Network
• [cs.CV]2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging
• [cs.CV]A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning
• [cs.CV]A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions
• [cs.CV]ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification
• [cs.CV]Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device
• [cs.CV]Action Recognition with Kernel-based Graph Convolutional Networks
• [cs.CV]Adaptive Threshold for Better Performance of the Recognition and Re-identification Models
• [cs.CV]Adversarial Multi-scale Feature Learning for Person Re-identification
• [cs.CV]Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
• [cs.CV]An Affine moment invariant for multi-component shapes
• [cs.CV]Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds
• [cs.CV]Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection
• [cs.CV]Coarse to Fine: Multi-label Image Classification with Global/Local Attention
• [cs.CV]Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation
• [cs.CV]Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
• [cs.CV]Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics
• [cs.CV]Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates
• [cs.CV]Deep Neural Models for color discrimination and color constancy
• [cs.CV]Deep Visual Domain Adaptation
• [cs.CV]DeepSurfels: Learning Online Appearance Fusion
• [cs.CV]Detecting Road Obstacles by Erasing Them
• [cs.CV]Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks
• [cs.CV]Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
• [cs.CV]Enhanced Regularizers for Attributional Robustness
• [cs.CV]Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
• [cs.CV]Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain
• [cs.CV]Few Shot Learning With No Labels
• [cs.CV]From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi
• [cs.CV]GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking
• [cs.CV]Human Expression Recognition using Facial Shape Based Fourier Descriptors Fusion
• [cs.CV]Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference
• [cs.CV]Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
• [cs.CV]Joint Intensity-Gradient Guided Generative Modeling for Colorization
• [cs.CV]Learning Inter- and Intra-frame Representations for Non-Lambertian Photometric Stereo
• [cs.CV]Lidar and Camera Self-Calibration using CostVolume Network
• [cs.CV]Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention
• [cs.CV]Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
• [cs.CV]Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks
• [cs.CV]One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks
• [cs.CV]PaXNet: Dental Caries Detection in Panoramic X-ray using Ensemble Transfer Learning and Capsule Classifier
• [cs.CV]Person Re-identification with Adversarial Triplet Embedding
• [cs.CV]Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
• [cs.CV]Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
• [cs.CV]Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
• [cs.CV]Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
• [cs.CV]Sparse Adversarial Attack to Object Detection
• [cs.CV]SparsePipe: Parallel Deep Learning for 3D Point Clouds
• [cs.CV]Spatial Contrastive Learning for Few-Shot Classification
• [cs.CV]Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation
• [cs.CV]TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
• [cs.CV]Tensor Representations for Action Recognition
• [cs.CV]Towards A Category-extended Object Detector without Relabeling or Conflicts
• [cs.CV]TransPose: Towards Explainable Human Pose Estimation by Transformer
• [cs.CY]A Google Earth Engine-enabled Python approach to improve identification of anthropogenic palaeo-landscape features
• [cs.CY]A Technological Perspective on Net Neutrality
• [cs.CY]Urban volumetrics: spatial complexity and wayfinding, extending space syntax to three dimensional space
• [cs.DB]Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
• [cs.DB]Toward Compact Data from Big Data
• [cs.DC]A Kubernetes Controller for Managing the Availability of Elastic Microservice Based Stateful Applications
• [cs.DC]BiPart: A Parallel and Deterministic Multilevel Hypergraph Partitioner
• [cs.DC]Fast CUDA-Aware MPI Datatypes without Platform Support
• [cs.DC]Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
• [cs.DC]Graph500 from OCaml-Multicore Perspective
• [cs.DC]Reproducible Host Networking Evaluation with End-to-End Simulation
• [cs.DC]SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing
• [cs.DC]Synergy via Redundancy: Adaptive Replication Strategies and Fundamental Limits
• [cs.DL]Early Indicators of Scientific Impact: Predicting Citations with Altmetrics
• [cs.DS]Efficient Randomized Distributed Coloring in CONGEST
• [cs.DS]Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
• [cs.FL]FOREST: An Interactive Multi-tree Synthesizer for Regular Expressions
• [cs.HC]Distributional Ground Truth: Non-Redundant Crowdsourcing Data Quality Control in UI Labeling Tasks
• [cs.IR]Analysis of Short Dwell Time in Relation to User Interest in a News Application
• [cs.IR]Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
• [cs.IR]Dynamic-K Recommendation with Personalized Decision Boundary
• [cs.IR]Neural document expansion for ad-hoc information retrieval
• [cs.IR]PatentMatch: A Dataset for Matching Patent Claims & Prior Art
• [cs.IR]The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes
• [cs.IR]The metrics of keywords to understand the difference between Retweet and Like in each category
• [cs.IT]A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems
• [cs.IT]An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN
• [cs.IT]Analyzing Age of Information in Multiaccess Networks by Fluid Limits
• [cs.IT]Are Guessing, Source Coding, and Tasks Partitioning Birds of a Feather?
• [cs.IT]Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Assisted Communication System
• [cs.IT]Cache-aided General Linear Function Retrieval
• [cs.IT]Capacity-achieving Polar-based LDGM Codes
• [cs.IT]Construction and Encoding Algorithm for Maximum Run-Length Limited Single Insertion/Deletion Correcting Code
• [cs.IT]Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment
• [cs.IT]Degrees of Freedom of the $K$-User Interference Channel in the Presence of Intelligent Reflecting Surfaces
• [cs.IT]Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection
• [cs.IT]Freshness-Optimal Caching for Information Updating Systems with Limited Cache Storage Capacity
• [cs.IT]Joint Spatial-Propagation Modeling of Cellular Networks Based on the Directional Radii of Poisson Voronoi Cells
• [cs.IT]LMMSE Processing for Cell-free Massive MIMO with Radio Stripes and MRC Fronthaul
• [cs.IT]Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming
• [cs.IT]MMSE-Optimal Sequential Processing for Cell-Free Massive MIMO With Radio Stripes
• [cs.IT]PDRS: A Fast Non-iterative Scheme for Massive Grant-free Access in Massive MIMO
• [cs.IT]Performance of Dual-Hop Relaying for THz-RF Wireless Link
• [cs.IT]Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
• [cs.IT]Reproducible Workflow
• [cs.IT]Secret Key Distillation over Satellite-to-satellite Free-space Optics Channel with Eavesdropper Dynamic Positioning
• [cs.IT]Training Signal Design for Sparse Channel Estimation in Intelligent Reflecting Surface-Assisted Millimeter-Wave Communication
• [cs.LG]A Survey on Neural Network Interpretability
• [cs.LG]A Tutorial on Sparse Gaussian Processes and Variational Inference
• [cs.LG]Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection
• [cs.LG]Adaptively Solving the Local-Minimum Problem for Deep Neural Networks
• [cs.LG]Analysis of Dominant Classes in Universal Adversarial Perturbations
• [cs.LG]Blackwell Online Learning for Markov Decision Processes
• [cs.LG]Byzantine-Resilient Non-Convex Stochastic Gradient Descent
• [cs.LG]Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
• [cs.LG]Causal World Models by Unsupervised Deconfounding of Physical Dynamics
• [cs.LG]Convolutional Neural Networks in Multi-Class Classification of Medical Data
• [cs.LG]Data augmentation and image understanding
• [cs.LG]Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
• [cs.LG]Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records
• [cs.LG]Detecting the patient’s need for help with machine learning
• [cs.LG]Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)
• [cs.LG]Explainable Multi-class Classification of Medical Data
• [cs.LG]Federated Unlearning
• [cs.LG]Generalized Quantile Loss for Deep Neural Networks
• [cs.LG]Graph Convolutional Networks for traffic anomaly
• [cs.LG]How to Train Your Differentiable Filter
• [cs.LG]Identifying Training Stop Point with Noisy Labeled Data
• [cs.LG]Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models
• [cs.LG]Learning by Ignoring
• [cs.LG]Lifelong Learning in Multi-Armed Bandits
• [cs.LG]Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
• [cs.LG]Manifold learning with arbitrary norms
• [cs.LG]Mathematical Models of Overparameterized Neural Networks
• [cs.LG]Multidimensional Uncertainty-Aware Evidential Neural Networks
• [cs.LG]Neural Closure Models for Dynamical Systems
• [cs.LG]POPO: Pessimistic Offline Policy Optimization
• [cs.LG]Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index
• [cs.LG]Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder
• [cs.LG]Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy
• [cs.LG]Robust Collaborative Learning with Noisy Labels
• [cs.LG]Robustness, Privacy, and Generalization of Adversarial Training
• [cs.LG]Signed Graph Diffusion Network
• [cs.LG]Stochastic Approximation for Online Tensorial Independent Component Analysis
• [cs.LG]Testing for concept shift online
• [cs.LG]Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users
• [cs.LG]Toward Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework
• [cs.LG]Understanding Decoupled and Early Weight Decay
• [cs.LG]Weighting-Based Treatment Effect Estimation via Distribution Learning
• [cs.LG]dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
• [cs.LO]Time-Fluid Field-Based Coordination through Programmable Distributed Schedulers
• [cs.MA]Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
• [cs.NI]DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks
• [cs.NI]Extreme Flow Decomposition for Multi-Source Multicast with Intra-Session Network Coding
• [cs.RO]Generative Partial Visual-Tactile Fused Object Clustering
• [cs.RO]Improving the Generalization of End-to-End Driving through Procedural Generation
• [cs.RO]Jacobian-based learning for inverse kinematics of soft robots
• [cs.RO]Modeling, Vibration Control, and Trajectory Tracking of a Kinematically Constrained Planar Hybrid Cable-Driven Parallel Robot
• [cs.RO]ROS for Human-Robot Interaction
• [cs.RO]RoCUS: Robot Controller Understanding via Sampling
• [cs.RO]SPINS: Structure Priors aided Inertial Navigation System
• [cs.RO]Spatial Reasoning from Natural Language Instructions for Robot Manipulation
• [cs.RO]Teaching Robots Novel Objects by Pointing at Them
• [cs.RO]Translating Natural Language Instructions to Computer Programs for Robot Manipulation
• [cs.SD]Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases
• [cs.SI]An algorithm for network community structure determination by surprise
• [cs.SI]Complex Network Influence Evaluation based on extension of Grueblers Equation
• [cs.SI]Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation
• [cs.SI]Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution
• [cs.SI]Measuring University Impact: Wikipedia approach
• [cs.SI]Modeling of Network Based Digital Contact Tracing and Testing Strategies for the COVID-19 Pandemic
• [cs.SI]Social media data reveals signal for public consumer perceptions
• [eess.IV]3D Axial-Attention for Lung Nodule Classification
• [eess.IV]Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning
• [eess.IV]Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
• [eess.IV]Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET images
• [eess.IV]Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
• [eess.IV]Generalized Categorisation of Digital Pathology Whole Image Slides using Unsupervised Learning
• [eess.IV]Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation
• [eess.IV]Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment
• [eess.IV]Lesion Net — Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units
• [eess.IV]Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN
• [eess.IV]Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19
• [eess.IV]Structure-Aware Layer Decomposition Learning Based on Gaussian Convolution Model for Inverse Halftoning
• [eess.IV]WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification
• [eess.SP]Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks
• [eess.SP]On the Performance of One-Bit DoA Estimation via Sparse Linear Arrays
• [eess.SP]Target Detection within Nonhomogeneous Clutter via Total Bregman Divergence-Based Matrix Information Geometry Detectors
• [eess.SY]Resilient Consensus Against Epidemic Malicious Attacks
• [math.DS]Learning to predict synchronization of coupled oscillators on heterogeneous graphs
• [math.NA]Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval
• [math.PR]General formulas for the central and non-central moments of the multinomial distribution
• [math.PR]Unajusted Langevin algorithm with multiplicative noise: Total variation and Wasserstein bounds
• [math.ST]High-dimensional inference robust to outliers with l1-norm penalization
• [math.ST]Objective Bayesian Analysis for the Differential Entropy of the Gamma Distribution
• [math.ST]Power Iteration for Tensor PCA
• [math.ST]Rao’s Score Tests on Correlation Matrices
• [math.ST]Sharp Local Minimax Rates for Goodness-of-Fit Testing in Large Random Graphs, multivariate Poisson families and multinomials
• [q-bio.BM]Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning
• [q-bio.PE]Estimation of the effective reproduction number for SARS-CoV-2 infection during the first epidemic wave in the metropolitan area of Athens, Greece
• [q-bio.PE]Mechanism of Evolution Shared by Gene and Language
• [q-fin.CP]Deep reinforcement learning for portfolio management
• [quant-ph]A Guide to Global Quantum Key Distribution Networks
• [quant-ph]From Quantum Source Compression to Quantum Thermodynamics
• [stat.AP]On a Japanese Subjective Well-Being Indicator Based on Twitter data
• [stat.AP]Profile control chart based on maximum entropy
• [stat.ME]A multi-state model incorporating estimation of excess hazards and multiple time scales
• [stat.ME]Analysis of Cluster Randomized Trials of Infectious Diseases: Effect Heterogeneity, Noncompliance, and Spillover Effects
• [stat.ME]Designs with complex blocking structures and network effects for use in agricultural field experiments
• [stat.ME]Graph signal denoising using $t$-shrinkage priors
• [stat.ME]Latent space models for multiplex networks with shared structure
• [stat.ME]On deletion diagnostic statistic in regression
• [stat.ME]Population Quasi-Monte Carlo
• [stat.ME]Prediction & Model Evaluation for Space-Time Data
• [stat.ME]Simultaneous semi-parametric estimation of clustering and regression
• [stat.ME]Tree based credible set estimation
• [stat.ML]ACT: Asymptotic Conditional Transport
• [stat.ML]Doubly Stochastic Generative Arrivals Modeling
• [stat.ML]More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach
• [stat.ML]Universal Approximation Theorem for Equivariant Maps by Group CNNs
• [stat.ML]Using the Naive Bayes as a discriminative classifier
• [stat.ML]Variance Reduction on Adaptive Stochastic Mirror Descent
·····································
• [astro-ph.IM]Model Optimization for Deep Space Exploration via Simulators and Deep Learning
James Bird, Kellan Colburn, Linda Petzold, Philip Lubin
http://arxiv.org/abs/2012.14092v1
• [astro-ph.IM]Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX
Emma Perracchione, Paolo Massa, Anna Maria Massone, Michele Piana
http://arxiv.org/abs/2012.14007v1
• [astro-ph.SR]Shape-based Feature Engineering for Solar Flare Prediction
Varad Deshmukh, Thomas Berger, James Meiss, Elizabeth Bradley
http://arxiv.org/abs/2012.14405v1
• [cs.AI]A new class of generative classifiers based on staged tree models
Federico Carli, Manuele Leonelli, Gherardo Varando
http://arxiv.org/abs/2012.13798v1
• [cs.AI]Brain-inspired Search Engine Assistant based on Knowledge Graph
Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao
http://arxiv.org/abs/2012.13529v1
• [cs.AI]Commonsense Visual Sensemaking for Autonomous Driving: On Generalised Neurosymbolic Online Abduction Integrating Vision and Semantics
Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan
http://arxiv.org/abs/2012.14359v1
• [cs.AI]Counting the Number of Solutions to Constraints
Jian Zhang, Cunjing Ge, Feifei Ma
http://arxiv.org/abs/2012.14366v1
• [cs.AI]Deep Learning Based Intelligent Inter-Vehicle Distance Control for 6G Enabled Cooperative Autonomous Driving
Xiaosha Chen, Supeng Leng, Jianhua He, Longyu Zhou
http://arxiv.org/abs/2012.13817v1
• [cs.AI]Logic Tensor Networks
Samy Badreddine, Artur d’Avila Garcez, Luciano Serafini, Michael Spranger
http://arxiv.org/abs/2012.13635v1
• [cs.AI]Stability-Certified Reinforcement Learning via Spectral Normalization
Ryoichi Takase, Nobuyuki Yoshikawa, Toshisada Mariyama, Takeshi Tsuchiya
http://arxiv.org/abs/2012.13744v1
• [cs.AI]Technical Report: Flushing Strategies in Drinking Water Systems
Margarita Rebolledo, Sowmya Chandrasekaran, Thomas Bartz-Beielstein
http://arxiv.org/abs/2012.13574v1
• [cs.AI]Towards sample-efficient episodic control with DAC-ML
Ismael T. Freire, Adrián F. Amil, Vasiliki Vouloutsi, Paul F. M. J. Verschure
http://arxiv.org/abs/2012.13779v1
• [cs.AI]Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model
Laura Giordano, Daniele Theseider Dupré
http://arxiv.org/abs/2012.13421v1
• [cs.CC]Learning algorithms from circuit lower bounds
Ján Pich
http://arxiv.org/abs/2012.14095v1
• [cs.CL]ALP-KD: Attention-Based Layer Projection for Knowledge Distillation
Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu
http://arxiv.org/abs/2012.14022v1
• [cs.CL]Adaptive Convolution for Semantic Role Labeling
Kashif Munir, Hai Zhao, Zuchao Li
http://arxiv.org/abs/2012.13939v1
• [cs.CL]An Embarrassingly Simple Model for Dialogue Relation Extraction
Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng
http://arxiv.org/abs/2012.13873v1
• [cs.CL]Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning
Yangyang Zhao, Zhenyu Wang, Zhenhua Huang
http://arxiv.org/abs/2012.14072v1
• [cs.CL]BURT: BERT-inspired Universal Representation from Learning Meaningful Segment
Yian Li, Hai Zhao
http://arxiv.org/abs/2012.14320v1
• [cs.CL]DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language
Md. Rezaul Karim, Sumon Kanti Dey, Bharathi Raja Chakravarthi
http://arxiv.org/abs/2012.14353v1
• [cs.CL]Explaining NLP Models via Minimal Contrastive Editing (MiCE)
Alexis Ross, Ana Marasović, Matthew E. Peters
http://arxiv.org/abs/2012.13985v1
• [cs.CL]Fine-grained Emotion and Intent Learning in Movie Dialogues
Anuradha Welivita, Yubo Xie, Pearl Pu
http://arxiv.org/abs/2012.13624v1
• [cs.CL]Inserting Information Bottlenecks for Attribution in Transformers
Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin
http://arxiv.org/abs/2012.13838v1
• [cs.CL]LOREN: Logic Enhanced Neural Reasoning for Fact Verification
Jiangjie Chen, Qiaoben Bao, Jiaze Chen, Changzhi Sun, Hao Zhou, Yanghua Xiao, Lei Li
http://arxiv.org/abs/2012.13577v1
• [cs.CL]Learning Light-Weight Translation Models from Deep Transformer
Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu
http://arxiv.org/abs/2012.13866v1
• [cs.CL]MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Zhi Wen, Xing Han Lu, Siva Reddy
http://arxiv.org/abs/2012.13978v1
• [cs.CL]My Teacher Thinks The World Is Flat! Interpreting Automatic Essay Scoring Mechanism
Swapnil Parekh, Yaman Kumar Singla, Changyou Chen, Junyi Jessy Li, Rajiv Ratn Shah
http://arxiv.org/abs/2012.13872v1
• [cs.CL]Neural Text Generation with Artificial Negative Examples
Keisuke Shirai, Kazuma Hashimoto, Akiko Eriguchi, Takashi Ninomiya, Shinsuke Mori
http://arxiv.org/abs/2012.14124v1
• [cs.CL]On Generating Extended Summaries of Long Documents
Sajad Sotudeh, Arman Cohan, Nazli Goharian
http://arxiv.org/abs/2012.14136v1
• [cs.CL]Panarchy: ripples of a boundary concept
Juan Rocha, Linda Luvuno, Jesse Rieb, Erin Crockett, Katja Malmborg, Michael Schoon, Garry Peterson
http://arxiv.org/abs/2012.14312v1
• [cs.CL]Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval
Ivan Montero, Shayne Longpre, Ni Lao, Andrew J. Frank, Christopher DuBois
http://arxiv.org/abs/2012.14094v1
• [cs.CL]Red Dragon AI at TextGraphs 2020 Shared Task: LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking
Yew Ken Chia, Sam Witteveen, Martin Andrews
http://arxiv.org/abs/2012.14164v1
• [cs.CL]SG-Net: Syntax Guided Transformer for Language Representation
Zhuosheng Zhang, Yuwei Wu, Junru Zhou, Sufeng Duan, Hai Zhao, Rui Wang
http://arxiv.org/abs/2012.13915v1
• [cs.CL]SMART: A Situation Model for Algebra Story Problems via Attributed Grammar
Yining Hong, Qing Li, Ran Gong, Daniel Ciao, Siyuan Huang, Song-Chun Zhu
http://arxiv.org/abs/2012.14011v1
• [cs.CL]Syntax-Enhanced Pre-trained Model
Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang
http://arxiv.org/abs/2012.14116v1
• [cs.CL]Towards Fully Automated Manga Translation
Ryota Hinami, Shonosuke Ishiwatari, Kazuhiko Yasuda, Yusuke Matsui
http://arxiv.org/abs/2012.14271v1
• [cs.CL]Universal Sentence Representation Learning with Conditional Masked Language Model
Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve
http://arxiv.org/abs/2012.14388v1
• [cs.CR]FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao, Minghong Fang, Jia Liu, Neil Zhenqiang Gong
http://arxiv.org/abs/2012.13995v1
• [cs.CR]Spread-Transform Dither Modulation Watermarking of Deep Neural Network
Yue Li, Benedetta Tondi, Mauro Barni
http://arxiv.org/abs/2012.14171v1
• [cs.CV]2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging
Elisabeth Hoppe, Jens Wetzl, Philipp Roser, Lina Felsner, Alexander Preuhs, Andreas Maier
http://arxiv.org/abs/2012.13700v1
• [cs.CV]A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning
Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong
http://arxiv.org/abs/2012.13628v1
• [cs.CV]A cortical-inspired sub-Riemannian model for Poggendorff-type visual illusions
Emre Baspinar, Luca Calatroni, Valentina Franceschi, Dario Prandi
http://arxiv.org/abs/2012.14184v1
• [cs.CV]ANL: Anti-Noise Learning for Cross-Domain Person Re-Identification
Hongliang Zhang, Shoudong Han, Xiaofeng Pan, Jun Zhao
http://arxiv.org/abs/2012.13853v1
• [cs.CV]Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
http://arxiv.org/abs/2012.13801v1
• [cs.CV]Action Recognition with Kernel-based Graph Convolutional Networks
Hichem Sahbi
http://arxiv.org/abs/2012.14186v1
• [cs.CV]Adaptive Threshold for Better Performance of the Recognition and Re-identification Models
Bharat Bohara
http://arxiv.org/abs/2012.14305v1
• [cs.CV]Adversarial Multi-scale Feature Learning for Person Re-identification
Xinglu Wang
http://arxiv.org/abs/2012.14061v1
• [cs.CV]Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi, Liming Zheng, Peter Z Fulé, Erik Blasch
http://arxiv.org/abs/2012.14036v1
• [cs.CV]An Affine moment invariant for multi-component shapes
Jovisa Zunic, Milos Stojmenovic
http://arxiv.org/abs/2012.13774v1
• [cs.CV]Assigning Apples to Individual Trees in Dense Orchards using 3D Color Point Clouds
Mouad Zine-El-Abidine, Helin Dutagaci, Gilles Galopin, David Rousseau
http://arxiv.org/abs/2012.13721v1
• [cs.CV]Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection
Hopyong Gil, Sangwoo Park, Yusang Park, Wongoo Han, Juyean Hong, Juneyoung Jung
http://arxiv.org/abs/2012.13763v1
• [cs.CV]Coarse to Fine: Multi-label Image Classification with Global/Local Attention
Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu
http://arxiv.org/abs/2012.13662v1
• [cs.CV]Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation
Xiaoyu Chen, Chi Zhang, Guosheng Lin, Jing Han
http://arxiv.org/abs/2012.14255v1
• [cs.CV]Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
Cristina Palmero, Javier Selva, Sorina Smeureanu, Julio C. S. Jacques Junior, Albert Clapés, Alexa Moseguí, Zejian Zhang, David Gallardo, Georgina Guilera, David Leiva, Sergio Escalera
http://arxiv.org/abs/2012.14259v1
• [cs.CV]Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics
Elisa Maiettini, Raffaello Camoriano, Giulia Pasquale, Vadim Tikhanoff, Lorenzo Rosasco, Lorenzo Natale
http://arxiv.org/abs/2012.14345v1
• [cs.CV]Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates
Mustafa Burak Gurbuz, Islem Rekik
http://arxiv.org/abs/2012.14131v1
• [cs.CV]Deep Neural Models for color discrimination and color constancy
Alban Flachot, Arash Akbarinia, Heiko H. Schütt, Roland W. Fleming, Felix A. Wichmann, Karl R. Gegenfurtner
http://arxiv.org/abs/2012.14402v1
• [cs.CV]Deep Visual Domain Adaptation
Gabriela Csurka
http://arxiv.org/abs/2012.14176v1
• [cs.CV]DeepSurfels: Learning Online Appearance Fusion
Marko Mihajlovic, Silvan Weder, Marc Pollefeys, Martin R. Oswald
http://arxiv.org/abs/2012.14240v1
• [cs.CV]Detecting Road Obstacles by Erasing Them
Krzysztof Lis, Sina Honari, Pascal Fua, Mathieu Salzmann
http://arxiv.org/abs/2012.13633v1
• [cs.CV]Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
http://arxiv.org/abs/2012.13762v1
• [cs.CV]Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Yongxing Dai, Jun Liu, Yan Bai, Zekun Tong, Ling-Yu Duan
http://arxiv.org/abs/2012.13689v1
• [cs.CV]Enhanced Regularizers for Attributional Robustness
Anindya Sarkar, Anirban Sarkar, Vineeth N Balasubramanian
http://arxiv.org/abs/2012.14395v1
• [cs.CV]Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
Hengshun Zhou, Debin Meng, Yuanyuan Zhang, Xiaojiang Peng, Jun Du, Kai Wang, Yu Qiao
http://arxiv.org/abs/2012.13912v1
• [cs.CV]Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain
Samuel Felipe dos Santos, Jurandy Almeida
http://arxiv.org/abs/2012.13726v1
• [cs.CV]Few Shot Learning With No Labels
Aditya Bharti, N. B. Vineeth, C. V. Jawahar
http://arxiv.org/abs/2012.13751v1
• [cs.CV]From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi
Yiming Wang, Lingchao Guo, Zhaoming Lu, Xiangming Wen, Shuang Zhou, Wanyu Meng
http://arxiv.org/abs/2012.14066v1
• [cs.CV]GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking
Zhen Li, Sunzeng Cai, Xiaoyi Wang, Zhe Liu, Nian Xue
http://arxiv.org/abs/2012.14314v1
• [cs.CV]Human Expression Recognition using Facial Shape Based Fourier Descriptors Fusion
Ali Raza Shahid, Sheheryar Khan, Hong Yan
http://arxiv.org/abs/2012.14097v1
• [cs.CV]Hybrid and Non-Uniform quantization methods using retro synthesis data for efficient inference
Tej pratap GVSL, Raja Kumar
http://arxiv.org/abs/2012.13716v1
• [cs.CV]Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang
http://arxiv.org/abs/2012.13736v1
• [cs.CV]Joint Intensity-Gradient Guided Generative Modeling for Colorization
Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu
http://arxiv.org/abs/2012.14130v1
• [cs.CV]Learning Inter- and Intra-frame Representations for Non-Lambertian Photometric Stereo
Yanlong Cao, Binjie Ding, Zewei He, Jiangxin Yang, Jingxi Chen, Yanpeng Cao, Xin Li
http://arxiv.org/abs/2012.13720v1
• [cs.CV]Lidar and Camera Self-Calibration using CostVolume Network
Xudong Lv, Boya Wang, Dong Ye, Shuo Wang
http://arxiv.org/abs/2012.13901v1
• [cs.CV]Lip-reading with Hierarchical Pyramidal Convolution and Self-Attention
Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, Chin-Hui Lee, Bao-Cai Yin
http://arxiv.org/abs/2012.14360v1
• [cs.CV]Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron
http://arxiv.org/abs/2012.14230v1
• [cs.CV]Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks
Mélodie Boillet, Christopher Kermorvant, Thierry Paquet
http://arxiv.org/abs/2012.14163v1
• [cs.CV]One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks
Sagar Gubbi Venkatesh, Bharadwaj Amrutur
http://arxiv.org/abs/2012.13690v1
• [cs.CV]PaXNet: Dental Caries Detection in Panoramic X-ray using Ensemble Transfer Learning and Capsule Classifier
Arman Haghanifar, Mahdiyar Molahasani Majdabadi, Seok-Bum Ko
http://arxiv.org/abs/2012.13666v1
• [cs.CV]Person Re-identification with Adversarial Triplet Embedding
Xinglu Wang
http://arxiv.org/abs/2012.14057v1
• [cs.CV]Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
David Morales, Estefania Talavera, Beatriz Remeseiro
http://arxiv.org/abs/2012.14173v1
• [cs.CV]Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification
Piotr Koniusz, Hongguang Zhang
http://arxiv.org/abs/2012.13975v1
• [cs.CV]Probabilistic 3D Multi-Modal, Multi-Object Tracking for Autonomous Driving
Hsu-kuang Chiu, Jie Li, Rares Ambrus, Jeannette Bohg
http://arxiv.org/abs/2012.13755v1
• [cs.CV]Skeleton-DML: Deep Metric Learning for Skeleton-Based One-Shot Action Recognition
Raphael Memmesheimer, Simon Häring, Nick Theisen, Dietrich Paulus
http://arxiv.org/abs/2012.13823v1
• [cs.CV]Sparse Adversarial Attack to Object Detection
Jiayu Bao
http://arxiv.org/abs/2012.13692v1
• [cs.CV]SparsePipe: Parallel Deep Learning for 3D Point Clouds
Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
http://arxiv.org/abs/2012.13846v1
• [cs.CV]Spatial Contrastive Learning for Few-Shot Classification
Yassine Ouali, Céline Hudelot, Myriam Tami
http://arxiv.org/abs/2012.13831v1
• [cs.CV]Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation
Li-Wei Chen, Wei-Chen Chiu, Chin-Tien Wu
http://arxiv.org/abs/2012.14123v1
• [cs.CV]TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen
http://arxiv.org/abs/2012.13697v1
• [cs.CV]Tensor Representations for Action Recognition
Piotr Koniusz, Lei Wang, Anoop Cherian
http://arxiv.org/abs/2012.14371v1
• [cs.CV]Towards A Category-extended Object Detector without Relabeling or Conflicts
Bowen Zhao, Chen Chen, Wanpeng Xiao, Xi Xiao, Qi Ju, Shutao Xia
http://arxiv.org/abs/2012.14115v1
• [cs.CV]TransPose: Towards Explainable Human Pose Estimation by Transformer
Sen Yang, Zhibin Quan, Mu Nie, Wankou Yang
http://arxiv.org/abs/2012.14214v1
• [cs.CY]A Google Earth Engine-enabled Python approach to improve identification of anthropogenic palaeo-landscape features
Filippo Brandolini, Guillem Domingo Ribas, Andrea Zerboni, Sam Turner
http://arxiv.org/abs/2012.14180v1
• [cs.CY]A Technological Perspective on Net Neutrality
William P. Wagner IV
http://arxiv.org/abs/2012.14112v1
• [cs.CY]Urban volumetrics: spatial complexity and wayfinding, extending space syntax to three dimensional space
Lingzhu Zhang, Alain J F Chiaradia
http://arxiv.org/abs/2012.14419v1
• [cs.DB]Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach
Bowen Hao, Jing Zhang, Cuiping Li, Hong Chen, Hongzhi Yin
http://arxiv.org/abs/2012.14234v1
• [cs.DB]Toward Compact Data from Big Data
Song-Kyoo, Kim
http://arxiv.org/abs/2012.13677v1
• [cs.DC]A Kubernetes Controller for Managing the Availability of Elastic Microservice Based Stateful Applications
Leila Abdollahi Vayghan, Mohamed Aymen Saied, Maria Toeroe, Ferhat Khendek
http://arxiv.org/abs/2012.14086v1
• [cs.DC]BiPart: A Parallel and Deterministic Multilevel Hypergraph Partitioner
Sepideh Maleki, Udit Agarwal, Martin Burtscher, Keshav Pingali
http://arxiv.org/abs/2012.13618v1
• [cs.DC]Fast CUDA-Aware MPI Datatypes without Platform Support
Carl Pearson, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
http://arxiv.org/abs/2012.14363v1
• [cs.DC]Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models
Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoc, Kari Hreinsson, Wing-Kin Ma
http://arxiv.org/abs/2012.13900v1
• [cs.DC]Graph500 from OCaml-Multicore Perspective
Shubhendra Pal Singhal
http://arxiv.org/abs/2012.13548v1
• [cs.DC]Reproducible Host Networking Evaluation with End-to-End Simulation
Hejing Li, Jialin Li, Keon Jang, Antoine Kaufmann
http://arxiv.org/abs/2012.14219v1
• [cs.DC]SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing
Marcin Copik, Grzegorz Kwasniewski, Maciej Besta, Michal Podstawski, Torsten Hoefler
http://arxiv.org/abs/2012.14132v1
• [cs.DC]Synergy via Redundancy: Adaptive Replication Strategies and Fundamental Limits
Gauri Joshi, Dhruva Kaushal
http://arxiv.org/abs/2012.13608v1
• [cs.DL]Early Indicators of Scientific Impact: Predicting Citations with Altmetrics
Akhil Pandey Akella, Hamed Alhoori, Pavan Ravikanth Kondamudi, Cole Freeman, Haiming Zhou
http://arxiv.org/abs/2012.13599v1
• [cs.DS]Efficient Randomized Distributed Coloring in CONGEST
Magnús M. Halldórsson, Fabian Kuhn, Yannic Maus, Tigran Tonoyan
http://arxiv.org/abs/2012.14169v1
• [cs.DS]Intervention Efficient Algorithms for Approximate Learning of Causal Graphs
Raghavendra Addanki, Andrew McGregor, Cameron Musco
http://arxiv.org/abs/2012.13976v1
• [cs.FL]FOREST: An Interactive Multi-tree Synthesizer for Regular Expressions
Margarida Ferreira, Miguel Terra-Neves, Miguel Ventura, Inês Lynce, Ruben Martins
http://arxiv.org/abs/2012.14235v1
• [cs.HC]Distributional Ground Truth: Non-Redundant Crowdsourcing Data Quality Control in UI Labeling Tasks
Maxim Bakaev, Sebastian Heil, Martin Gaedke
http://arxiv.org/abs/2012.13546v1
• [cs.IR]Analysis of Short Dwell Time in Relation to User Interest in a News Application
Ryosuke Homma, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura
http://arxiv.org/abs/2012.13992v1
• [cs.IR]Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao
http://arxiv.org/abs/2012.13538v1
• [cs.IR]Dynamic-K Recommendation with Personalized Decision Boundary
Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao
http://arxiv.org/abs/2012.13569v1
• [cs.IR]Neural document expansion for ad-hoc information retrieval
Cheng Tang, Andrew Arnold
http://arxiv.org/abs/2012.14005v1
• [cs.IR]PatentMatch: A Dataset for Matching Patent Claims & Prior Art
Julian Risch, Nicolas Alder, Christoph Hewel, Ralf Krestel
http://arxiv.org/abs/2012.13919v1
• [cs.IR]The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes
Nils Reimers, Iryna Gurevych
http://arxiv.org/abs/2012.14210v1
• [cs.IR]The metrics of keywords to understand the difference between Retweet and Like in each category
Kenshin Sekimoto, Yoshifumi Seki, Mitsuo Yoshida, Kyoji Umemura
http://arxiv.org/abs/2012.13990v1
• [cs.IT]A GCICA Grant-Free Random Access Scheme for M2M Communications in Crowded Massive MIMO Systems
Huimei Han, Lushun Fang, Weidang Lu, Wenchao Zhai, Ying Li, Jun Zhao
http://arxiv.org/abs/2012.13539v1
• [cs.IT]An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN
Uğur Erkan, Abdurrahim Toktas, Serdar Enginoğlu, Enver Karabacak, Dang N. H. Thanh
http://arxiv.org/abs/2012.14156v1
• [cs.IT]Analyzing Age of Information in Multiaccess Networks by Fluid Limits
Zhiyuan Jiang
http://arxiv.org/abs/2012.13663v1
• [cs.IT]Are Guessing, Source Coding, and Tasks Partitioning Birds of a Feather?
M. Ashok Kumar, Albert Sunny, Ashish Thakre, Ashisha Kumar, G. Dinesh Manohar
http://arxiv.org/abs/2012.13707v1
• [cs.IT]Asymptotic Achievability of the Cramér-Rao Lower Bound of Channel Estimation for Reconfigurable Intelligent Surface Assisted Communication System
Yiming Liu, Erwu Liu, Rui Wang, Binyu Lu
http://arxiv.org/abs/2012.14058v1
• [cs.IT]Cache-aided General Linear Function Retrieval
Kai Wan, Hua Sun, Mingyue Ji, Daniela Tuninetti, Giuseppe Caire
http://arxiv.org/abs/2012.14394v1
• [cs.IT]Capacity-achieving Polar-based LDGM Codes
James Chin-Jen Pang, Hessam Mahdavifar, S. Sandeep Pradhan
http://arxiv.org/abs/2012.13977v1
• [cs.IT]Construction and Encoding Algorithm for Maximum Run-Length Limited Single Insertion/Deletion Correcting Code
Reona Takemoto, Takayuki Nozaki
http://arxiv.org/abs/2012.13536v1
• [cs.IT]Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment
Foad Sohrabi, Zhilin Chen, Wei Yu
http://arxiv.org/abs/2012.13607v1
• [cs.IT]Degrees of Freedom of the $K$-User Interference Channel in the Presence of Intelligent Reflecting Surfaces
Ali H. Abdollahi Bafghi, Vahid Jamali, Masoumeh Nasiri-Kenari, Robert Schober
http://arxiv.org/abs/2012.13787v1
• [cs.IT]Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection
Xiaodan Shao, Xiaoming Chen, Yiyang Qiang, Caijun Zhong, Zhaoyang Zhang
http://arxiv.org/abs/2012.13523v1
• [cs.IT]Freshness-Optimal Caching for Information Updating Systems with Limited Cache Storage Capacity
Haibin Xie, Minquan Cheng, Yongbing Zhang
http://arxiv.org/abs/2012.14323v1
• [cs.IT]Joint Spatial-Propagation Modeling of Cellular Networks Based on the Directional Radii of Poisson Voronoi Cells
Ke Feng, Martin Haenggi
http://arxiv.org/abs/2012.13609v1
• [cs.IT]LMMSE Processing for Cell-free Massive MIMO with Radio Stripes and MRC Fronthaul
Zhifeng Yuan, Yihua Ma, Guanghui Yu
http://arxiv.org/abs/2012.13504v1
• [cs.IT]Low-Cost Maximum Entropy Covariance Matrix Reconstruction Algorithm for Robust Adaptive Beamforming
S. Mohammadzadeh, V. H. Nascimento, R. C. de Lamare
http://arxiv.org/abs/2012.14338v1
• [cs.IT]MMSE-Optimal Sequential Processing for Cell-Free Massive MIMO With Radio Stripes
Zakir Hussain Shaik, Emil Björnson, Erik G. Larsson
http://arxiv.org/abs/2012.13928v1
• [cs.IT]PDRS: A Fast Non-iterative Scheme for Massive Grant-free Access in Massive MIMO
Yihua Ma, Zhifeng Yuan, Weimin Li, Zhigang Li
http://arxiv.org/abs/2012.13550v1
• [cs.IT]Performance of Dual-Hop Relaying for THz-RF Wireless Link
Pranay Bhardwaj, S. M. Zafaruddin
http://arxiv.org/abs/2012.13505v1
• [cs.IT]Reconfigurable Intelligent Surface Assisted Mobile Edge Computing with Heterogeneous Learning Tasks
Shanfeng Huang, Shuai Wang, Rui Wang, Miaowen Wen, Kaibin Huang
http://arxiv.org/abs/2012.13533v1
• [cs.IT]Reproducible Workflow
Anirudh Prabhu, Peter Fox
http://arxiv.org/abs/2012.13427v1
• [cs.IT]Secret Key Distillation over Satellite-to-satellite Free-space Optics Channel with Eavesdropper Dynamic Positioning
Ziwen Pan, Ivan B. Djordjevic
http://arxiv.org/abs/2012.13865v1
• [cs.IT]Training Signal Design for Sparse Channel Estimation in Intelligent Reflecting Surface-Assisted Millimeter-Wave Communication
Song Noh, Heejung Yu, Youngchul Sung
http://arxiv.org/abs/2012.14221v1
• [cs.LG]A Survey on Neural Network Interpretability
Yu Zhang, Peter Tiňo, Aleš Leonardis, Ke Tang
http://arxiv.org/abs/2012.14261v1
• [cs.LG]A Tutorial on Sparse Gaussian Processes and Variational Inference
Felix Leibfried, Vincent Dutordoir, ST John, Nicolas Durrande
http://arxiv.org/abs/2012.13962v1
• [cs.LG]Adaptive Graph-based Generalized Regression Model for Unsupervised Feature Selection
Yanyong Huang, Zongxin Shen, Fuxu Cai, Tianrui Li, Fengmao Lv
http://arxiv.org/abs/2012.13892v1
• [cs.LG]Adaptively Solving the Local-Minimum Problem for Deep Neural Networks
Huachuan Wang, James Ting-Ho Lo
http://arxiv.org/abs/2012.13632v1
• [cs.LG]Analysis of Dominant Classes in Universal Adversarial Perturbations
Jon Vadillo, Roberto Santana, Jose A. Lozano
http://arxiv.org/abs/2012.14352v1
• [cs.LG]Blackwell Online Learning for Markov Decision Processes
Tao Li, Guanze Peng, Quanyan Zhu
http://arxiv.org/abs/2012.14043v1
• [cs.LG]Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu, Faeze Ebrahimian, Jerry Li, Dan Alistarh
http://arxiv.org/abs/2012.14368v1
• [cs.LG]Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization
Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof Geras
http://arxiv.org/abs/2012.14193v1
• [cs.LG]Causal World Models by Unsupervised Deconfounding of Physical Dynamics
Minne Li, Mengyue Yang, Furui Liu, Xu Chen, Zhitang Chen, Jun Wang
http://arxiv.org/abs/2012.14228v1
• [cs.LG]Convolutional Neural Networks in Multi-Class Classification of Medical Data
YuanZheng Hu, Marina Sokolova
http://arxiv.org/abs/2012.14059v1
• [cs.LG]Data augmentation and image understanding
Alex Hernandez-Garcia
http://arxiv.org/abs/2012.14185v1
• [cs.LG]Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen
http://arxiv.org/abs/2012.13668v1
• [cs.LG]Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records
Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
http://arxiv.org/abs/2012.14065v1
• [cs.LG]Detecting the patient’s need for help with machine learning
Lauri Lahti
http://arxiv.org/abs/2012.13626v1
• [cs.LG]Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract)
Hoang Son Le, Rini Akmeliawati, Gustavo Carneiro
http://arxiv.org/abs/2012.13973v1
• [cs.LG]Explainable Multi-class Classification of Medical Data
YuanZheng Hu, Marina Sokolova
http://arxiv.org/abs/2012.13796v1
• [cs.LG]Federated Unlearning
Gaoyang Liu, Yang Yang, Xiaoqiang Ma, Chen Wang, Jiangchuan Liu
http://arxiv.org/abs/2012.13891v1
• [cs.LG]Generalized Quantile Loss for Deep Neural Networks
Dvir Ben Or, Michael Kolomenkin, Gil Shabat
http://arxiv.org/abs/2012.14348v1
• [cs.LG]Graph Convolutional Networks for traffic anomaly
Yue Hu, Ao Qu, Dan Work
http://arxiv.org/abs/2012.13637v1
• [cs.LG]How to Train Your Differentiable Filter
Alina Kloss, Georg Martius, Jeannette Bohg
http://arxiv.org/abs/2012.14313v1
• [cs.LG]Identifying Training Stop Point with Noisy Labeled Data
Sree Ram Kamabattula, Venkat Devarajan, Babak Namazi, Ganesh Sankaranarayanan
http://arxiv.org/abs/2012.13435v1
• [cs.LG]Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models
Apoorv Vyas, Srikanth Madikeri, Hervé Bourlard
http://arxiv.org/abs/2012.14252v1
• [cs.LG]Learning by Ignoring
Xingchen Zhao, Pengtao Xie
http://arxiv.org/abs/2012.14288v1
• [cs.LG]Lifelong Learning in Multi-Armed Bandits
Matthieu Jedor, Jonathan Louëdec, Vianney Perchet
http://arxiv.org/abs/2012.14264v1
• [cs.LG]Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards
Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup
http://arxiv.org/abs/2012.13658v1
• [cs.LG]Manifold learning with arbitrary norms
Joe Kileel, Amit Moscovich, Nathan Zelesko, Amit Singer
http://arxiv.org/abs/2012.14172v1
• [cs.LG]Mathematical Models of Overparameterized Neural Networks
Cong Fang, Hanze Dong, Tong Zhang
http://arxiv.org/abs/2012.13982v1
• [cs.LG]Multidimensional Uncertainty-Aware Evidential Neural Networks
Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen
http://arxiv.org/abs/2012.13676v1
• [cs.LG]Neural Closure Models for Dynamical Systems
Abhinav Gupta, Pierre F. J. Lermusiaux
http://arxiv.org/abs/2012.13869v1
• [cs.LG]POPO: Pessimistic Offline Policy Optimization
Qiang He. Xinwen Hou
http://arxiv.org/abs/2012.13682v1
• [cs.LG]Ranking and Rejecting of Pre-Trained Deep Neural Networks in Transfer Learning based on Separation Index
Mostafa Kalhor, Ahmad Kalhor, Mehdi Rahmani
http://arxiv.org/abs/2012.13717v1
• [cs.LG]Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder
Lun-Pin Yuan, Peng Liu, Sencun Zhu
http://arxiv.org/abs/2012.13972v1
• [cs.LG]Risk-Sensitive Deep RL: Variance-Constrained Actor-Critic Provably Finds Globally Optimal Policy
Han Zhong, Ethan X. Fang, Zhuoran Yang, Zhaoran Wang
http://arxiv.org/abs/2012.14098v1
• [cs.LG]Robust Collaborative Learning with Noisy Labels
Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou
http://arxiv.org/abs/2012.13670v1
• [cs.LG]Robustness, Privacy, and Generalization of Adversarial Training
Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao
http://arxiv.org/abs/2012.13573v1
• [cs.LG]Signed Graph Diffusion Network
Jinhong Jung, Jaemin Yoo, U Kang
http://arxiv.org/abs/2012.14191v1
• [cs.LG]Stochastic Approximation for Online Tensorial Independent Component Analysis
Chris Junchi Li, Michael I. Jordan
http://arxiv.org/abs/2012.14415v1
• [cs.LG]Testing for concept shift online
Vladimir Vovk
http://arxiv.org/abs/2012.14246v1
• [cs.LG]Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users
Lun-Pin Yuan, Euijin Choo, Ting Yu, Issa Khalil, Sencun Zhu
http://arxiv.org/abs/2012.13971v1
• [cs.LG]Toward Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework
Mahbod Nouri, Faraz Moradi, Hafez Ghaemi, Ali Motie Nasrabadi
http://arxiv.org/abs/2012.13567v1
• [cs.LG]Understanding Decoupled and Early Weight Decay
Johan Bjorck, Kilian Weinberger, Carla Gomes
http://arxiv.org/abs/2012.13841v1
• [cs.LG]Weighting-Based Treatment Effect Estimation via Distribution Learning
Dongcheng Zhang, Kunpeng Zhang
http://arxiv.org/abs/2012.13805v1
• [cs.LG]dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek
http://arxiv.org/abs/2012.14406v1
• [cs.LO]Time-Fluid Field-Based Coordination through Programmable Distributed Schedulers
Danilo Pianini, Roberto Casadei, Mirko Viroli, Stefano Mariani, Franco Zambonelli
http://arxiv.org/abs/2012.13806v1
• [cs.MA]Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing
Zheqi Zhu, Shuo Wan, Pingyi Fan, Khaled B. Letaief
http://arxiv.org/abs/2012.14137v1
• [cs.NI]DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks
Michele Polese, Francesco Restuccia, Tommaso Melodia
http://arxiv.org/abs/2012.14350v1
• [cs.NI]Extreme Flow Decomposition for Multi-Source Multicast with Intra-Session Network Coding
Jianwei Zhang
http://arxiv.org/abs/2012.13641v1
• [cs.RO]Generative Partial Visual-Tactile Fused Object Clustering
Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding
http://arxiv.org/abs/2012.14070v1
• [cs.RO]Improving the Generalization of End-to-End Driving through Procedural Generation
Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou
http://arxiv.org/abs/2012.13681v1
• [cs.RO]Jacobian-based learning for inverse kinematics of soft robots
Guoxin Fang, Yingjun Tian, Zhi-Xin Yang, Jo M. P. Geraedts, Charlie C. L. Wang
http://arxiv.org/abs/2012.13965v1
• [cs.RO]Modeling, Vibration Control, and Trajectory Tracking of a Kinematically Constrained Planar Hybrid Cable-Driven Parallel Robot
Ronghuai Qi, Amir Khajepour, William W. Melek
http://arxiv.org/abs/2012.14029v1
• [cs.RO]ROS for Human-Robot Interaction
Youssef Mohamed, Séverin Lemaignan
http://arxiv.org/abs/2012.13944v1
• [cs.RO]RoCUS: Robot Controller Understanding via Sampling
Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah
http://arxiv.org/abs/2012.13615v1
• [cs.RO]SPINS: Structure Priors aided Inertial Navigation System
Yang Lyu, Thien-Minh Nguyen, Liu Liu, Muqing Cao, Shenghai Yuan, Thien Hoang Nguyen, Lihua Xie
http://arxiv.org/abs/2012.14053v1
• [cs.RO]Spatial Reasoning from Natural Language Instructions for Robot Manipulation
Sagar Gubbi Venkatesh, Anirban Biswas, Raviteja Upadrashta, Vikram Srinivasan, Partha Talukdar, Bharadwaj Amrutur
http://arxiv.org/abs/2012.13693v1
• [cs.RO]Teaching Robots Novel Objects by Pointing at Them
Sagar Gubbi Venkatesh, Raviteja Upadrashta, Shishir Kolathaya, Bharadwaj Amrutur
http://arxiv.org/abs/2012.13620v1
• [cs.RO]Translating Natural Language Instructions to Computer Programs for Robot Manipulation
Sagar Gubbi Venkatesh, Raviteja Upadrashta, Bharadwaj Amrutur
http://arxiv.org/abs/2012.13695v1
• [cs.SD]Inception-Based Network and Multi-Spectrogram Ensemble Applied For Predicting Respiratory Anomalies and Lung Diseases
Lam Pham, Huy Phan, Ross King, Alfred Mertins, Ian McLoughlin
http://arxiv.org/abs/2012.13699v1
• [cs.SI]An algorithm for network community structure determination by surprise
Daniel Gamermann, José Antônio Pellizaro
http://arxiv.org/abs/2012.13780v1
• [cs.SI]Complex Network Influence Evaluation based on extension of Grueblers Equation
Auwal Tijjani Amshi, Jian Shu
http://arxiv.org/abs/2012.13617v1
• [cs.SI]Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
http://arxiv.org/abs/2012.13643v1
• [cs.SI]Improving Opinion Spam Detection by Cumulative Relative Frequency Distribution
Michela Fazzolari, Francesco Buccafurri, Gianluca Lax, Marinella Petrocchi
http://arxiv.org/abs/2012.13905v1
• [cs.SI]Measuring University Impact: Wikipedia approach
Tatiana Kozitsina, Viacheslav Goiko, Roman Palkin, Valentin Khomutenko, Yulia Mundrievskaya, Maria Sukhareva, Isak Froumin, Mikhail Myagkov
http://arxiv.org/abs/2012.13980v1
• [cs.SI]Modeling of Network Based Digital Contact Tracing and Testing Strategies for the COVID-19 Pandemic
Daniel Xu
http://arxiv.org/abs/2012.14077v1
• [cs.SI]Social media data reveals signal for public consumer perceptions
Neeti Pokhriyal, Abenezer Dara, Benjamin Valentino, Soroush Vosoughi
http://arxiv.org/abs/2012.13675v1
• [eess.IV]3D Axial-Attention for Lung Nodule Classification
Mundher Al-Shabi, Kelvin Shak, Maxine Tan
http://arxiv.org/abs/2012.14117v1
• [eess.IV]Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning
Peyman Tahghighi, Reza A. Zoroofi, Sare Safi, Alireza Ramezani
http://arxiv.org/abs/2012.14140v1
• [eess.IV]Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI
Yichi Zhang
http://arxiv.org/abs/2012.14128v1
• [eess.IV]Combining CNN and Hybrid Active Contours for Head and Neck Tumor Segmentation in CT and PET images
Jun Ma, Xiaoping Yang
http://arxiv.org/abs/2012.14207v1
• [eess.IV]Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder C. R. Oliveira, Svetlana Yanushkevich, Konstantinos N. Plataniotis
http://arxiv.org/abs/2012.14106v1
• [eess.IV]Generalized Categorisation of Digital Pathology Whole Image Slides using Unsupervised Learning
Mostafa Ibrahim, Kevin Bryson
http://arxiv.org/abs/2012.13955v1
• [eess.IV]Histogram Matching Augmentation for Domain Adaptation with Application to Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Image Segmentation
Jun Ma
http://arxiv.org/abs/2012.13871v1
• [eess.IV]Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment
Baoliang Chen, Lingyu Zhu, Guo Li, Hongfei Fan, Shiqi Wang
http://arxiv.org/abs/2012.13936v1
• [eess.IV]Lesion Net — Skin Lesion Segmentation Using Coordinate Convolution and Deep Residual Units
Sabari Nathan, Priya Kansal
http://arxiv.org/abs/2012.14249v1
• [eess.IV]Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN
Heng Liu, Jianyong Liu, Tao Tao, Shudong Hou, Jungong Han
http://arxiv.org/abs/2012.14142v1
• [eess.IV]Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19
Maryam Dialameh, Ali Hamzeh, Hossein Rahmani, Amir Reza Radmard, Safoura Dialameh
http://arxiv.org/abs/2012.14204v1
• [eess.IV]Structure-Aware Layer Decomposition Learning Based on Gaussian Convolution Model for Inverse Halftoning
Chang-Hwan Son
http://arxiv.org/abs/2012.13894v1
• [eess.IV]WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification
Xin Hu, Yanfei Zhong, Chang Luo, Xinyu Wang
http://arxiv.org/abs/2012.13920v1
• [eess.SP]Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks
Bram van Berlo, Amany Elkelany, Tanir Ozcelebi, Nirvana Meratnia
http://arxiv.org/abs/2012.13664v1
• [eess.SP]On the Performance of One-Bit DoA Estimation via Sparse Linear Arrays
Saeid Sedighi, M. R. Bhavani Shankar, Mojtaba Soltanalian, Björn Ottersten
http://arxiv.org/abs/2012.14051v1
• [eess.SP]Target Detection within Nonhomogeneous Clutter via Total Bregman Divergence-Based Matrix Information Geometry Detectors
Xiaoqiang Hua, Yusuke Ono, Linyu Peng, Yongqiang Cheng, Hongqiang Wang
http://arxiv.org/abs/2012.13861v1
• [eess.SY]Resilient Consensus Against Epidemic Malicious Attacks
Yuan Wang, Hideaki Ishii, François Bonnet, Xavier Défago
http://arxiv.org/abs/2012.13757v1
• [math.DS]Learning to predict synchronization of coupled oscillators on heterogeneous graphs
Hardeep Bassi, Richard Yim, Rohith Kodukula, Joshua Vendrow, Cherlin Zhu, Hanbaek Lyu
http://arxiv.org/abs/2012.14048v1
• [math.NA]Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval
Peng Li, Wengu Chen, Qiyu Sun
http://arxiv.org/abs/2012.13771v1
• [math.PR]General formulas for the central and non-central moments of the multinomial distribution
Frédéric Ouimet
http://arxiv.org/abs/2012.13777v1
• [math.PR]Unajusted Langevin algorithm with multiplicative noise: Total variation and Wasserstein bounds
Gilles Pages, Fabien Panloup
http://arxiv.org/abs/2012.14310v1
• [math.ST]High-dimensional inference robust to outliers with l1-norm penalization
Jad Beyhum
http://arxiv.org/abs/2012.14118v1
• [math.ST]Objective Bayesian Analysis for the Differential Entropy of the Gamma Distribution
Eduardo Ramos, Osafu A. Egbon, Pedro L. Ramos, Francisco A. Rodrigues, Francisco Louzada
http://arxiv.org/abs/2012.14081v1
• [math.ST]Power Iteration for Tensor PCA
Jiaoyang Huang, Daniel Z. Huang, Qing Yang, Guang Cheng
http://arxiv.org/abs/2012.13669v1
• [math.ST]Rao’s Score Tests on Correlation Matrices
Nirian Martín
http://arxiv.org/abs/2012.14238v1
• [math.ST]Sharp Local Minimax Rates for Goodness-of-Fit Testing in Large Random Graphs, multivariate Poisson families and multinomials
J. Chhor, A. Carpentier
http://arxiv.org/abs/2012.13766v1
• [q-bio.BM]Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning
Amy X. Lu, Alex X. Lu, Alan Moses
http://arxiv.org/abs/2012.13475v1
• [q-bio.PE]Estimation of the effective reproduction number for SARS-CoV-2 infection during the first epidemic wave in the metropolitan area of Athens, Greece
Konstantinos Kaloudis, George A. Kevrekidis, Helena C. Maltezou, Cleo Anastassopoulou, Athanasios Tsakris, Lucia Russo
http://arxiv.org/abs/2012.14192v1
• [q-bio.PE]Mechanism of Evolution Shared by Gene and Language
Li-Min Wang, Hsing-Yi Lai, Sun-Ting Tsai, Shan-Jyun Wu, Meng-Xue Tsai, Daw-Wei Wang, Yi-Ching Su, Chen Siang Ng, Tzay-Ming Hong
http://arxiv.org/abs/2012.14309v1
• [q-fin.CP]Deep reinforcement learning for portfolio management
Gang Huang, Xiaohua Zhou, Qingyang Song
http://arxiv.org/abs/2012.13773v1
• [quant-ph]A Guide to Global Quantum Key Distribution Networks
Jing Wang, Bernardo Huberman
http://arxiv.org/abs/2012.14396v1
• [quant-ph]From Quantum Source Compression to Quantum Thermodynamics
Zahra Baghali Khanian
http://arxiv.org/abs/2012.14143v1
• [stat.AP]On a Japanese Subjective Well-Being Indicator Based on Twitter data
Tiziana Carpi, Airo Hino, Stefano Maria Iacus, Giuseppe Porro
http://arxiv.org/abs/2012.14372v1
• [stat.AP]Profile control chart based on maximum entropy
A. F. Mortezanejad, G. M. Borzadaran, B. S. Gildeh
http://arxiv.org/abs/2012.14289v1
• [stat.ME]A multi-state model incorporating estimation of excess hazards and multiple time scales
Caroline E. Weibull, Paul C. Lambert, Sandra Eloranta, Therese M. L. Andersson, Paul W. Dickman, Michael J. Crowther
http://arxiv.org/abs/2012.13926v1
• [stat.ME]Analysis of Cluster Randomized Trials of Infectious Diseases: Effect Heterogeneity, Noncompliance, and Spillover Effects
Chan Park, Hyunseung Kang
http://arxiv.org/abs/2012.13885v1
• [stat.ME]Designs with complex blocking structures and network effects for use in agricultural field experiments
Vasiliki Koutra, Steven G. Gilmour, Ben M. Parker, Andrew Mead
http://arxiv.org/abs/2012.13425v1
• [stat.ME]Graph signal denoising using $t$-shrinkage priors
Sayantan Banerjee, Weining Shen
http://arxiv.org/abs/2012.13696v1
• [stat.ME]Latent space models for multiplex networks with shared structure
Peter W. MacDonald, Elizaveta Levina, Ji Zhu
http://arxiv.org/abs/2012.14409v1
• [stat.ME]On deletion diagnostic statistic in regression
Myung Geun Kim
http://arxiv.org/abs/2012.14127v1
• [stat.ME]Population Quasi-Monte Carlo
Chaofan Huang, V. Roshan Joseph, Simon Mak
http://arxiv.org/abs/2012.13769v1
• [stat.ME]Prediction & Model Evaluation for Space-Time Data
Gregory L. Watson, Colleen E. Reid, Michael Jerrett, Donatello Telesca
http://arxiv.org/abs/2012.13867v1
• [stat.ME]Simultaneous semi-parametric estimation of clustering and regression
Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle
http://arxiv.org/abs/2012.14159v1
• [stat.ME]Tree based credible set estimation
Jeong Eun. Lee, Geoff K. Nicholls
http://arxiv.org/abs/2012.13837v1
• [stat.ML]ACT: Asymptotic Conditional Transport
Huangjie Zheng, Mingyuan Zhou
http://arxiv.org/abs/2012.14100v1
• [stat.ML]Doubly Stochastic Generative Arrivals Modeling
Yufeng Zheng, Zeyu Zheng
http://arxiv.org/abs/2012.13940v1
• [stat.ML]More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach
Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
http://arxiv.org/abs/2012.13545v1
• [stat.ML]Universal Approximation Theorem for Equivariant Maps by Group CNNs
Wataru Kumagai, Akiyoshi Sannai
http://arxiv.org/abs/2012.13882v1
• [stat.ML]Using the Naive Bayes as a discriminative classifier
Elie Azeraf, Emmanuel Monfrini, Wojciech Pieczynski
http://arxiv.org/abs/2012.13572v1
• [stat.ML]Variance Reduction on Adaptive Stochastic Mirror Descent
Wenjie Li, Zhanyu Wang, Yichen Zhang, Guang Cheng
http://arxiv.org/abs/2012.13760v1
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