cs.AI - 人工智能

    cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DM - 离散数学 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.MM - 多媒体 cs.NI - 网络和互联网体系结构 cs.OS - 操作系统 cs.PL - 编程语言 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 hep-th - 高能物理理论 math.MG -公制几何 math.NT - 数论 math.OC - 优化与控制 math.ST - 统计理论 physics.ao-ph - 大气和海洋物理 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 q-fin.RM - 风险管理 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [cs.AI]A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization
    • [cs.AI]A Review into Data Science and Its Approaches in Mechanical Engineering
    • [cs.AI]AI Development Race Can Be Mediated on Heterogeneous Networks
    • [cs.AI]Discovering Dialog Structure Graph for Open-Domain Dialog Generation
    • [cs.AI]Emergent Symbols through Binding in External Memory
    • [cs.AI]Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics
    • [cs.AI]Paraconsistent Foundations for Probabilistic Reasoning, Programming and Concept Formation
    • [cs.AI]Quantitative Evaluations on Saliency Methods: An Experimental Study
    • [cs.AI]Semantic Modeling with SUMO
    • [cs.AI]The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions
    • [cs.CL]A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines
    • [cs.CL]A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation
    • [cs.CL]A Memory Efficient Baseline for Open Domain Question Answering
    • [cs.CL]A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
    • [cs.CL]A Subword Guided Neural Word Segmentation Model for Sindhi
    • [cs.CL]A Theoretical Analysis of the Repetition Problem in Text Generation
    • [cs.CL]Abstractive Query Focused Summarization with Query-Free Resources
    • [cs.CL]Accelerating Pre-trained Language Models via Calibrated Cascade
    • [cs.CL]Accurate Word Representations with Universal Visual Guidance
    • [cs.CL]An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain
    • [cs.CL]AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding
    • [cs.CL]AraGPT2: Pre-Trained Transformer for Arabic Language Generation
    • [cs.CL]BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
    • [cs.CL]BURT: BERT-inspired Universal Representation from Learning Meaningful Segment
    • [cs.CL]Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
    • [cs.CL]Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring
    • [cs.CL]BinaryBERT: Pushing the Limit of BERT Quantization
    • [cs.CL]CLEAR: Contrastive Learning for Sentence Representation
    • [cs.CL]CMV-BERT: Contrastive multi-vocab pretraining of BERT
    • [cs.CL]Can Sequence-to-Sequence Models Crack Substitution Ciphers?
    • [cs.CL]Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents
    • [cs.CL]CoCoLM: COmplex COmmonsense Enhanced Language Model
    • [cs.CL]Combining Semilattices and Semimodules
    • [cs.CL]Conditional Generation of Temporally-ordered Event Sequences
    • [cs.CL]Continual Learning in Task-Oriented Dialogue Systems
    • [cs.CL]Coreference Reasoning in Machine Reading Comprehension
    • [cs.CL]DEER: A Data Efficient Language Model for Event Temporal Reasoning
    • [cs.CL]DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs
    • [cs.CL]Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings
    • [cs.CL]Dialogue Graph Modeling for Conversational Machine Reading
    • [cs.CL]Dialogue Response Selection with Hierarchical Curriculum Learning
    • [cs.CL]Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation
    • [cs.CL]DynaSent: A Dynamic Benchmark for Sentiment Analysis
    • [cs.CL]ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
    • [cs.CL]ERNIE-DOC: The Retrospective Long-Document Modeling Transformer
    • [cs.CL]ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora
    • [cs.CL]Enhancing Pre-trained Language Model with Lexical Simplification
    • [cs.CL]Exploring Monolingual Data for Neural Machine Translation with Knowledge Distillation
    • [cs.CL]FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation
    • [cs.CL]Factual Error Correction of Claims
    • [cs.CL]Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation
    • [cs.CL]Few-Shot Named Entity Recognition: A Comprehensive Study
    • [cs.CL]FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
    • [cs.CL]Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade
    • [cs.CL]Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces
    • [cs.CL]Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
    • [cs.CL]Generating Natural Language Attacks in a Hard Label Black Box Setting
    • [cs.CL]Generating Wikipedia Article Sections from Diverse Data Sources
    • [cs.CL]HateCheck: Functional Tests for Hate Speech Detection Models
    • [cs.CL]HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
    • [cs.CL]How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
    • [cs.CL]Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA
    • [cs.CL]Improving BERT with Syntax-aware Local Attention
    • [cs.CL]Improving Zero-Shot Translation by Disentangling Positional Information
    • [cs.CL]Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines
    • [cs.CL]Intrinsic Bias Metrics Do Not Correlate with Application Bias
    • [cs.CL]Introducing Orthogonal Constraint in Structural Probes
    • [cs.CL]Is human scoring the best criteria for summary evaluation?
    • [cs.CL]Joint Verification and Reranking for Open Fact Checking Over Tables
    • [cs.CL]Language Identification of Devanagari Poems
    • [cs.CL]LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
    • [cs.CL]Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
    • [cs.CL]Linear-Time WordPiece Tokenization
    • [cs.CL]Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness
    • [cs.CL]Making Pre-trained Language Models Better Few-shot Learners
    • [cs.CL]MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
    • [cs.CL]Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences
    • [cs.CL]Multiple Structural Priors Guided Self Attention Network for Language Understanding
    • [cs.CL]Neural Machine Translation: A Review of Methods, Resources, and Tools
    • [cs.CL]Open Korean Corpora: A Practical Report
    • [cs.CL]OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts
    • [cs.CL]Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing
    • [cs.CL]Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?
    • [cs.CL]Predicting cross-linguistic adjective order with information gain
    • [cs.CL]Promoting Graph Awareness in Linearized Graph-to-Text Generation
    • [cs.CL]RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
    • [cs.CL]Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration
    • [cs.CL]Reservoir Transformer
    • [cs.CL]Revisiting Robust Neural Machine Translation: A Transformer Case Study
    • [cs.CL]Robust Dialogue Utterance Rewriting as Sequence Tagging
    • [cs.CL]Robustness Testing of Language Understanding in Dialog Systems
    • [cs.CL]SIT3: Code Summarization with Structure-Induced Transformer
    • [cs.CL]Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings
    • [cs.CL]SemGloVe: Semantic Co-occurrences for GloVe from BERT
    • [cs.CL]Shortformer: Better Language Modeling using Shorter Inputs
    • [cs.CL]Studying Strategically: Learning to Mask for Closed-book QA
    • [cs.CL]Synthetic Source Language Augmentation for Colloquial Neural Machine Translation
    • [cs.CL]TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
    • [cs.CL]Text-Free Image-to-Speech Synthesis Using Learned Segmental Units
    • [cs.CL]The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages
    • [cs.CL]The jsRealB Text Realizer: Organization and Use Cases
    • [cs.CL]Towards Fully Automated Manga Translation
    • [cs.CL]Towards Zero-Shot Knowledge Distillation for Natural Language Processing
    • [cs.CL]Transformer Feed-Forward Layers Are Key-Value Memories
    • [cs.CL]UCCA’s Foundational Layer: Annotation Guidelines v2.1
    • [cs.CL]UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
    • [cs.CL]UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
    • [cs.CL]Understanding Politics via Contextualized Discourse Processing
    • [cs.CL]Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
    • [cs.CL]Understanding and Improving Lexical Choice in Non-Autoregressive Translation
    • [cs.CL]Unified Open-Domain Question Answering with Structured and Unstructured Knowledge
    • [cs.CL]Universal Sentence Representation Learning with Conditional Masked Language Model
    • [cs.CL]Unsupervised Label-aware Event Trigger and Argument Classification
    • [cs.CL]Using Natural Language Relations between Answer Choices for Machine Comprehension
    • [cs.CL]VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
    • [cs.CL]Verb Knowledge Injection for Multilingual Event Processing
    • [cs.CL]XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
    • [cs.CL]YASO: A New Benchmark for Targeted Sentiment Analysis
    • [cs.CL]kōan: A Corrected CBOW Implementation
    • [cs.CR]A Decentralized Dynamic PKI based on Blockchain
    • [cs.CR]Privacy-Preserving Methods for Vertically Partitioned Incomplete Data
    • [cs.CR]ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide)
    • [cs.CR]Scams in modern societies: how does China differ from the world?
    • [cs.CR]Stack-based Buffer Overflow Detection using Recurrent Neural Networks
    • [cs.CV]2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
    • [cs.CV]3D Human motion anticipation and classification
    • [cs.CV]A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
    • [cs.CV]A Deep Retinal Image Quality Assessment Network with Salient Structure Priors
    • [cs.CV]AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
    • [cs.CV]Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications
    • [cs.CV]Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images
    • [cs.CV]Audio-Visual Floorplan Reconstruction
    • [cs.CV]Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions
    • [cs.CV]Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning
    • [cs.CV]CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal
    • [cs.CV]COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
    • [cs.CV]Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory
    • [cs.CV]CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
    • [cs.CV]DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection
    • [cs.CV]Damaged Fingerprint Recognition by Convolutional Long Short-Term Memory Networks for Forensic Purposes
    • [cs.CV]Deep Hashing for Secure Multimodal Biometrics
    • [cs.CV]Detecting Hate Speech in Multi-modal Memes
    • [cs.CV]FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation
    • [cs.CV]Graph-based non-linear least squares optimization for visual place recognition in changing environments
    • [cs.CV]Hierarchical Representation via Message Propagation for Robust Model Fitting
    • [cs.CV]Illumination Estimation Challenge: experience of past two years
    • [cs.CV]Image-to-Image Retrieval by Learning Similarity between Scene Graphs
    • [cs.CV]Incremental Embedding Learning via Zero-Shot Translation
    • [cs.CV]Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
    • [cs.CV]Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
    • [cs.CV]Learning a Dynamic Map of Visual Appearance
    • [cs.CV]MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification
    • [cs.CV]MM-FSOD: Meta and metric integrated few-shot object detection
    • [cs.CV]MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis
    • [cs.CV]NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
    • [cs.CV]Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
    • [cs.CV]NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram
    • [cs.CV]OSTeC: One-Shot Texture Completion
    • [cs.CV]Object sorting using faster R-CNN
    • [cs.CV]Patch-wise++ Perturbation for Adversarial Targeted Attacks
    • [cs.CV]Provident Vehicle Detection at Night: The PVDN Dataset
    • [cs.CV]RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving
    • [cs.CV]Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
    • [cs.CV]Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
    • [cs.CV]Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
    • [cs.CV]SALA: Soft Assignment Local Aggregation for 3D Semantic Segmentation
    • [cs.CV]SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation
    • [cs.CV]SharpGAN: Receptive Field Block Net for Dynamic Scene Deblurring
    • [cs.CV]SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability
    • [cs.CV]Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
    • [cs.CV]The VIP Gallery for Video Processing Education
    • [cs.CV]Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge
    • [cs.CV]Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy
    • [cs.CV]Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
    • [cs.CV]TransTrack: Multiple-Object Tracking with Transformer
    • [cs.CV]TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
    • [cs.CV]Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes
    • [cs.CV]Visual Probing and Correction of Object Recognition Models with Interactive user feedback
    • [cs.CV]Visual-Thermal Camera Dataset Release and Multi-Modal Alignment without Calibration Information
    • [cs.CV]Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
    • [cs.CV]iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
    • [cs.CY]Formal Statement of the Decision-making Support Problem in the Management of Municipal Social and Economic Development
    • [cs.CY]Improving Learning Experience in MOOCs with Educational Content Linking
    • [cs.CY]Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data
    • [cs.DB]BayesCard: A Unified Bayesian Framework for Cardinality Estimation
    • [cs.DB]Similarity Classification of Public Transit Stations
    • [cs.DC]A stable majority population protocol using logarithmic time and states
    • [cs.DC]Consensus-Based Distributed Computation of Link-Based Network Metrics
    • [cs.DC]Edge Computing Enabled by Unmanned Autonomous Vehicles
    • [cs.DC]Extracting Clean Performance Models from Tainted Programs
    • [cs.DC]Fast CUDA-Aware MPI Datatypes without Platform Support
    • [cs.DC]Improving the Performance and Resilience of MPI Parallel Jobs with Topology and Fault-Aware Process Placement
    • [cs.DC]Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories
    • [cs.DC]NBR: Neutralization Based Reclamation
    • [cs.DC]Quality-Driven Dynamic VVC Frame Partitioning for Efficient Parallel Processing
    • [cs.DC]SDN helps Big Data to optimize access to data
    • [cs.DC]Scaling Replicated State Machines with Compartmentalization
    • [cs.DC]Thermal Safety and Real-Time Predictability on Heterogeneous Embedded SoC Platforms
    • [cs.DC]When Load Rebalancing Does Not Work for Distributed Hash Table
    • [cs.DM]Logical indetermination coupling: a method to minimize drawing matches and its applications
    • [cs.DS]Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries
    • [cs.DS]Minor Sparsifiers and the Distributed Laplacian Paradigm
    • [cs.DS]No-substitution k-means Clustering with Adversarial Order
    • [cs.DS]Some Algorithms on Exact, Approximate and Error-Tolerant Graph Matching
    • [cs.DS]Testing Product Distributions: A Closer Look
    • [cs.GT]Multi-Principal Assistance Games: Definition and Collegial Mechanisms
    • [cs.GT]The Price is (Probably) Right: Learning Market Equilibria from Samples
    • [cs.HC]Exploration of Voice User Interfaces for Older Adults - A Pilot Study to Address Progressive Vision Loss
    • [cs.HC]Measuring an adaptive change in human decision-making from AI: Application to evaluate changes after AlphaGo
    • [cs.IR]Design Knowledge Representation with Technology Semantic Network
    • [cs.IR]Hybrid Interest Modeling for Long-tailed Users
    • [cs.IR]Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision
    • [cs.IR]Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering
    • [cs.IR]Simplifying Impact Prediction for Scientific Articles
    • [cs.IR]Supporting Human Memory by Reconstructing Personal Episodic Narratives from Digital Traces
    • [cs.IT]A Number Theoretic Approach for Fast Discovery of Single-Hop Wireless Networks
    • [cs.IT]Commutative Information Algebras: Representation and Duality Theory
    • [cs.IT]Minorization via Mixed Volumes and Cover’s Problem for General Channels
    • [cs.IT]New Constructions of Optimal Locally Repairable Codes with Super-Linear Length
    • [cs.IT]Performance Analysis of 2-Step Random Access with CDMA in Machine-Type Communication
    • [cs.IT]Quantum error-correcting codes from matrix-product codes related to quasi-orthogonal matrices and quasi-unitary matrices
    • [cs.IT]Refined Nonlinear Rectenna Modeling and Optimal Waveform Design for Multi-User Multi-Antenna Wireless Power Transfer
    • [cs.IT]Timely Communication in Federated Learning
    • [cs.IT]Trapping Sets of Quantum LDPC Codes
    • [cs.LG]A Constant-time Adaptive Negative Sampling
    • [cs.LG]A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis
    • [cs.LG]A Maximal Correlation Approach to Imposing Fairness in Machine Learning
    • [cs.LG]A Novel Resampling Technique for Imbalanced Dataset Optimization
    • [cs.LG]AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection
    • [cs.LG]Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning
    • [cs.LG]Accelerating ODE-Based Neural Networks on Low-Cost FPGAs
    • [cs.LG]Adaptive Graph Diffusion Networks with Hop-wise Attention
    • [cs.LG]Algorithms for Learning Graphs in Financial Markets
    • [cs.LG]An Online Algorithm for Maximum-Likelihood Quantum State Tomography
    • [cs.LG]Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup
    • [cs.LG]AttrE2vec: Unsupervised Attributed Edge Representation Learning
    • [cs.LG]Automatic Historical Feature Generation through Tree-based Method in Ads Prediction
    • [cs.LG]Binary Graph Neural Networks
    • [cs.LG]CADA: Communication-Adaptive Distributed Adam
    • [cs.LG]Classification of Pathological and Normal Gait: A Survey
    • [cs.LG]Coded Machine Unlearning
    • [cs.LG]Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation
    • [cs.LG]Continuity of Generalized Entropy and Statistical Learning
    • [cs.LG]Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability
    • [cs.LG]Decentralized Control with Graph Neural Networks
    • [cs.LG]Deep Graph Generators: A Survey
    • [cs.LG]DeepSphere: a graph-based spherical CNN
    • [cs.LG]DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
    • [cs.LG]Detecting Anomalous line-items by Modeling the Legal Case Lifecycle
    • [cs.LG]Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification
    • [cs.LG]Drift-Aware Multi-Memory Model for Imbalanced Data Streams
    • [cs.LG]Dynamic Graph-Based Anomaly Detection in the Electrical Grid
    • [cs.LG]Elastic Net based Feature Ranking and Selection
    • [cs.LG]Ensembles of Localised Models for Time Series Forecasting
    • [cs.LG]Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model
    • [cs.LG]Explainability in Graph Neural Networks: A Taxonomic Survey
    • [cs.LG]Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes
    • [cs.LG]Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits
    • [cs.LG]Fairness in Machine Learning
    • [cs.LG]Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence
    • [cs.LG]FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
    • [cs.LG]Flexible model composition in machine learning and its implementation in MLJ
    • [cs.LG]Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System
    • [cs.LG]Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective
    • [cs.LG]Good practices for Bayesian Optimization of high dimensional structured spaces
    • [cs.LG]Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
    • [cs.LG]Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity
    • [cs.LG]Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
    • [cs.LG]I/O Lower Bounds for Auto-tuning of Convolutions in CNNs
    • [cs.LG]Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
    • [cs.LG]Improving Adversarial Robustness in Weight-quantized Neural Networks
    • [cs.LG]Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder
    • [cs.LG]Is Pessimism Provably Efficient for Offline RL?
    • [cs.LG]Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks
    • [cs.LG]Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
    • [cs.LG]LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
    • [cs.LG]Language-Mediated, Object-Centric Representation Learning
    • [cs.LG]Learning Adversarial Markov Decision Processes with Delayed Feedback
    • [cs.LG]Likelihood Ratio Exponential Families
    • [cs.LG]Meta Learning Backpropagation And Improving It
    • [cs.LG]Minimum Excess Risk in Bayesian Learning
    • [cs.LG]Model-Based Visual Planning with Self-Supervised Functional Distances
    • [cs.LG]PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
    • [cs.LG]Parzen Window Approximation on Riemannian Manifold
    • [cs.LG]Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training
    • [cs.LG]Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
    • [cs.LG]Reinforcement Learning for Control of Valves
    • [cs.LG]Robust Asymmetric Learning in POMDPs
    • [cs.LG]Robust Data-Driven Error Compensation for a Battery Model
    • [cs.LG]SGD Distributional Dynamics of Three Layer Neural Networks
    • [cs.LG]Searching a Raw Video Database using Natural Language Queries
    • [cs.LG]Source Identification for Mixtures of Product Distributions
    • [cs.LG]Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection
    • [cs.LG]Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity
    • [cs.LG]Super-k: A Piecewise Linear Classifier Based on Voronoi Tessellations
    • [cs.LG]TensorX: Extensible API for Neural Network Model Design and Deployment
    • [cs.LG]The Sample Complexity of Robust Covariance Testing
    • [cs.LG]Topological obstructions in neural networks learning
    • [cs.LG]Towards Fair Deep Anomaly Detection
    • [cs.LG]Twin Neural Network Regression
    • [cs.LG]Unsupervised Real Time Prediction of Faults Using the Support Vector Machine
    • [cs.LG]Why do classifier accuracies show linear trends under distribution shift?
    • [cs.LG]With False Friends Like These, Who Can Have Self-Knowledge?
    • [cs.LG]xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
    • [cs.MA]Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents
    • [cs.MA]Prosocial Norm Emergence in Multiagent Systems
    • [cs.MM]Investigating Memorability of Dynamic Media
    • [cs.MM]Leveraging Audio Gestalt to Predict Media Memorability
    • [cs.MM]Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?
    • [cs.NI]Autonomous Maintenance in IoT Networks via AoI-driven Deep Reinforcement Learning
    • [cs.NI]From Semantic Communication to Semantic-aware Networking: Model, Architecture, and Open Problems
    • [cs.NI]Relational Deep Reinforcement Learning for Routing in Wireless Networks
    • [cs.NI]Vehicular Network Slicing for Reliable Access and Deadline-Constrained Data Offloading: A Multi-Agent On-Device Learning Approach
    • [cs.OS]Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning
    • [cs.PL]An Order-aware Dataflow Model for Extracting Shell Script Parallelism
    • [cs.PL]Automatic Synthesis of Parallel and Distributed Unix Commands with KumQuat
    • [cs.RO]A Versatile Keyframe-Based Structureless Filter for Visual Inertial Odometry
    • [cs.RO]ALVIO: Adaptive Line and Point Feature-based Visual Inertial Odometry for Robust Localization in Indoor Environments
    • [cs.RO]Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments
    • [cs.RO]An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning
    • [cs.RO]An LQR-assisted Control Algorithm for an Under-actuated In-pipe Robot in Water Distribution Systems
    • [cs.RO]Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving
    • [cs.RO]Autocalibration Subsystem for Cable-Driven Parallel Robots
    • [cs.RO]Design, Characterization, and Control of a Size Adaptable In-pipe Robot for Water Distribution Systems
    • [cs.RO]Disentangled Planning and Control in Vision Based Robotics via Reward Machines
    • [cs.RO]Dynamical Systems based Obstacle Avoidance with Workspace Constraint for Manipulators
    • [cs.RO]LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time
    • [cs.RO]Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization
    • [cs.RO]Multiple Plans are Better than One: Diverse Stochastic Planning
    • [cs.RO]Peacock Exploration: A Lightweight Exploration for UAV using Control-Efficient Trajectory
    • [cs.RO]Perimeter-defense Game between Aerial Defender and Ground Intruder
    • [cs.RO]Real-time Whole-body Obstacle Avoidance for 7-DOF Redundant Manipulators
    • [cs.RO]Robotic Grasping of Fully-Occluded Objects using RF Perception
    • [cs.RO]Simulation and Control of Deformable Autonomous Airships in Turbulent Wind
    • [cs.SD]Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks
    • [cs.SD]EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting
    • [cs.SD]Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis
    • [cs.SD]Unified Mandarin TTS Front-end Based on Distilled BERT Model
    • [cs.SI]Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
    • [cs.SI]Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach
    • [cs.SI]On the Impact of Random Actions on Opinion Dynamics
    • [econ.EM]Assessing Sensitivity to Unconfoundedness: Estimation and Inference
    • [econ.EM]Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error
    • [econ.EM]Bayesian analysis of seasonally cointegrated VAR model
    • [econ.EM]Bias-Aware Inference in Regularized Regression Models
    • [eess.IV]A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System
    • [eess.IV]Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
    • [eess.IV]Automatic Polyp Segmentation using U-Net-ResNet50
    • [eess.IV]Cascaded Framework for Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI
    • [eess.IV]Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos
    • [eess.IV]Comparison of different CNNs for breast tumor classification from ultrasound images
    • [eess.IV]DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    • [eess.IV]Ensembled ResUnet for Anatomical Brain Barriers Segmentation
    • [eess.IV]Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
    • [eess.IV]Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
    • [eess.IV]Exploring Large Context for Cerebral Aneurysm Segmentation
    • [eess.IV]FREA-Unet: Frequency-aware U-net for Modality Transfer
    • [eess.IV]Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging
    • [eess.IV]H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task
    • [eess.IV]MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
    • [eess.IV]Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
    • [eess.IV]Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis
    • [eess.IV]New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis
    • [eess.IV]SASSI — Super-Pixelated Adaptive Spatio-Spectral Imaging
    • [eess.IV]Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer
    • [eess.IV]Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray
    • [eess.IV]Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
    • [eess.SP]Adaptive filters for the moving target indicator system
    • [eess.SP]Bayesian Federated Learning over Wireless Networks
    • [eess.SP]Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks
    • [eess.SP]Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT
    • [eess.SP]Wi-Chlorian: Wireless sensing and localization of contact forces on a space continuum
    • [eess.SY]Control Barriers in Bayesian Learning of System Dynamics
    • [eess.SY]Universal Adaptive Control for Uncertain Nonlinear Systems
    • [hep-th]Comments on the holographic description of Narain theories
    • [hep-th]Neural Network Approximations for Calabi-Yau Metrics
    • [math.MG]Closed-Form Minkowski Sums of Convex Bodies with Smooth Positively Curved Boundaries
    • [math.NT]Linearized trinomials with maximum kernel
    • [math.OC]Constrained and Composite Optimization via Adaptive Sampling Methods
    • [math.OC]Differentiable Programming à la Moreau
    • [math.OC]PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction
    • [math.OC]Present-Biased Optimization
    • [math.OC]Risk Guarantees for End-to-End Prediction and Optimization Processes
    • [math.OC]Supermodularity and valid inequalities for quadratic optimization with indicators
    • [math.OC]The Adaptive Dynamic Programming Toolbox
    • [math.ST]Adjusted chi-square test for degree-corrected block models
    • [math.ST]Asymptotics of sums of regression residuals under multiple ordering of regressors
    • [math.ST]Inference for Low-rank Tensors — No Need to Debias
    • [math.ST]Multivariate Smoothing via the Fourier Integral Theorem and Fourier Kernel
    • [math.ST]On Gaussian Approximation for M-Estimator
    • [math.ST]On the T-test
    • [math.ST]Semi-Parametric Estimation of Incubation and Generation Times by Means of Laguerre Polynomials
    • [physics.ao-ph]Synergy between Observation Systems Oceanic in Turbulent Regions
    • [physics.soc-ph]More crime in cities? On the scaling laws of crime and the inadequacy of per capita rankings — a cross-country study
    • [physics.soc-ph]Optimising SARS-CoV-2 pooled testing strategies on social networks for low-resource settings
    • [physics.soc-ph]Resolution limit revisited: community detection using generalized modularity density
    • [physics.soc-ph]Universal Urban Spreading Pattern of COVID-19 and Its Underlying Mechanism
    • [q-bio.NC]Correlation Across Environments Encoded by Hippocampal Place Cells
    • [q-fin.RM]Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data
    • [quant-ph]$\mathcal{PT}$-Symmetric Unambiguous Distinguishing of Three Quantum States
    • [quant-ph]Curriculum-based Deep Reinforcement Learning for Quantum Control
    • [quant-ph]Denoising quantum states with Quantum Autoencoders — Theory and Applications
    • [stat.AP]An analysis to identify the structural breaks of COVID-19 in Turkey
    • [stat.AP]Closed test procedures for the comparison of dose groups against a negative control group or placebo
    • [stat.AP]Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression
    • [stat.AP]New statistical control limits using maximum copula entropy
    • [stat.AP]Spatial Resolution Enhancement of Oversampled Images Using Regression Decomposition and Synthesis
    • [stat.AP]Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones
    • [stat.CO]A general perspective on the Metropolis-Hastings kernel
    • [stat.CO]Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees
    • [stat.CO]Scalable Multivariate Histograms
    • [stat.ME]A Survey of Parameter and State Estimation in Queues
    • [stat.ME]Adaptive Estimation for Non-stationary Factor Models And A Test for Static Factor Loadings
    • [stat.ME]An automatic procedure to determine groups of nonparametric regression curves
    • [stat.ME]Bayesian state space modelling for COVID-19: with Tennessee and New York case studies
    • [stat.ME]Inference post Selection of Group-sparse Regression Models
    • [stat.ME]Kernel Partial Correlation Coefficient — a Measure of Conditional Dependence
    • [stat.ME]Learning Sparsity and Block Diagonal Structure in Multi-View Mixture Models
    • [stat.ME]Sample Size Re-estimation Design in Phase II Dose Finding Study with Multiple Dose Groups: Frequentist and Bayesian Methods
    • [stat.ML]An extension of the angular synchronization problem to the heterogeneous setting
    • [stat.ML]Behavior of linear L2-boosting algorithms in the vanishing learning rate asymptotic
    • [stat.ML]Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
    • [stat.ML]Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization
    • [stat.ML]Fast covariance parameter estimation of spatial Gaussian process models using neural networks
    • [stat.ML]Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
    • [stat.ML]Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
    • [stat.ML]Optimal trees selection for classification via out-of-bag assessment and sub-bagging
    • [stat.ML]Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis
    • [stat.ML]Provably Training Neural Network Classifiers under Fairness Constraints
    • [stat.ML]Random Planted Forest: a directly interpretable tree ensemble
    • [stat.ML]Statistical Formulas for F Measures

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

    • [cs.AI]A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Textile Manufacturing Process Optimization
    Zhenglei He, Kim Phuc Tran, Sebastien Thomassey, Xianyi Zeng, Jie Xu, Chang Haiyi
    http://arxiv.org/abs/2012.14794v1

    • [cs.AI]A Review into Data Science and Its Approaches in Mechanical Engineering
    Ashkan Yousefi Zadeh, Meysam Shahbazy
    http://arxiv.org/abs/2012.15358v1

    • [cs.AI]AI Development Race Can Be Mediated on Heterogeneous Networks
    Theodor Cimpeanu, Francisco C. Santos, Luis Moniz Pereira, Tom Lenaerts, The Anh Han
    http://arxiv.org/abs/2012.15234v1

    • [cs.AI]Discovering Dialog Structure Graph for Open-Domain Dialog Generation
    Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu
    http://arxiv.org/abs/2012.15543v1

    • [cs.AI]Emergent Symbols through Binding in External Memory
    Taylor W. Webb, Ishan Sinha, Jonathan D. Cohen
    http://arxiv.org/abs/2012.14601v1

    • [cs.AI]Modeling Social Interaction for Baby in Simulated Environment for Developmental Robotics
    Md Ashaduzzaman Rubel Mondol, Aishwarya Pothula, Deokgun Park
    http://arxiv.org/abs/2012.14842v1

    • [cs.AI]Paraconsistent Foundations for Probabilistic Reasoning, Programming and Concept Formation
    Ben Goertzel
    http://arxiv.org/abs/2012.14474v1

    • [cs.AI]Quantitative Evaluations on Saliency Methods: An Experimental Study
    Xiao-Hui Li, Yuhan Shi, Haoyang Li, Wei Bai, Yuanwei Song, Caleb Chen Cao, Lei Chen
    http://arxiv.org/abs/2012.15616v1

    • [cs.AI]Semantic Modeling with SUMO
    Robert B. Allen
    http://arxiv.org/abs/2012.15835v1

    • [cs.AI]The HyperTrac Project: Recent Progress and Future Research Directions on Hypergraph Decompositions
    Georg Gottlob, Matthias Lanzinger, Davide Mario Longo, Cem Okulmus, Reinhard Pichler
    http://arxiv.org/abs/2012.14762v1

    • [cs.CL]A Closer Look at Few-Shot Crosslingual Transfer: Variance, Benchmarks and Baselines
    Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Roi Reichart, Anna Korhonen, Hinrich Schütze
    http://arxiv.org/abs/2012.15682v1

    • [cs.CL]A Hierarchical Transformer with Speaker Modeling for Emotion Recognition in Conversation
    Jiangnan Li, Zheng Lin, Peng Fu, Qingyi Si, Weiping Wang
    http://arxiv.org/abs/2012.14781v1

    • [cs.CL]A Memory Efficient Baseline for Open Domain Question Answering
    Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave
    http://arxiv.org/abs/2012.15156v1

    • [cs.CL]A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
    Xiangci Li, Gully Burns, Nanyun Peng
    http://arxiv.org/abs/2012.14500v1

    • [cs.CL]A Subword Guided Neural Word Segmentation Model for Sindhi
    Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren
    http://arxiv.org/abs/2012.15079v1

    • [cs.CL]A Theoretical Analysis of the Repetition Problem in Text Generation
    Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi
    http://arxiv.org/abs/2012.14660v1

    • [cs.CL]Abstractive Query Focused Summarization with Query-Free Resources
    Yumo Xu, Mirella Lapata
    http://arxiv.org/abs/2012.14774v1

    • [cs.CL]Accelerating Pre-trained Language Models via Calibrated Cascade
    Lei Li, Yankai Lin, Shuhuai Ren, Deli Chen, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun
    http://arxiv.org/abs/2012.14682v1

    • [cs.CL]Accurate Word Representations with Universal Visual Guidance
    Zhuosheng Zhang, Haojie Yu, Hai Zhao, Rui Wang, Masao Utiyama
    http://arxiv.org/abs/2012.15086v1

    • [cs.CL]An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain
    Paul Grouchy, Shobhit Jain, Michael Liu, Kuhan Wang, Max Tian, Nidhi Arora, Hillary Ngai, Faiza Khan Khattak, Elham Dolatabadi, Sedef Akinli Kocak
    http://arxiv.org/abs/2012.15419v1

    • [cs.CL]AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding
    Wissam Antoun, Fady Baly, Hazem Hajj
    http://arxiv.org/abs/2012.15516v1

    • [cs.CL]AraGPT2: Pre-Trained Transformer for Arabic Language Generation
    Wissam Antoun, Fady Baly, Hazem Hajj
    http://arxiv.org/abs/2012.15520v1

    • [cs.CL]BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
    Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan
    http://arxiv.org/abs/2012.15525v1

    • [cs.CL]BURT: BERT-inspired Universal Representation from Learning Meaningful Segment
    Yian Li, Hai Zhao
    http://arxiv.org/abs/2012.14320v2

    • [cs.CL]Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning
    Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, Maosong Sun
    http://arxiv.org/abs/2012.15699v1

    • [cs.CL]Beyond Offline Mapping: Learning Cross Lingual Word Embeddings through Context Anchoring
    Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka, Eneko Agirre
    http://arxiv.org/abs/2012.15715v1

    • [cs.CL]BinaryBERT: Pushing the Limit of BERT Quantization
    Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, Irwin King
    http://arxiv.org/abs/2012.15701v1

    • [cs.CL]CLEAR: Contrastive Learning for Sentence Representation
    Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma
    http://arxiv.org/abs/2012.15466v1

    • [cs.CL]CMV-BERT: Contrastive multi-vocab pretraining of BERT
    Wei Zhu, Daniel Cheung
    http://arxiv.org/abs/2012.14763v1

    • [cs.CL]Can Sequence-to-Sequence Models Crack Substitution Ciphers?
    Nada Aldarrab, Jonathan May
    http://arxiv.org/abs/2012.15229v1

    • [cs.CL]Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents
    Yi-Chia Wang, Alexandros Papangelis, Runze Wang, Zhaleh Feizollahi, Gokhan Tur, Robert Kraut
    http://arxiv.org/abs/2012.14653v1

    • [cs.CL]CoCoLM: COmplex COmmonsense Enhanced Language Model
    Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng
    http://arxiv.org/abs/2012.15643v1

    • [cs.CL]Combining Semilattices and Semimodules
    Filippo Bonchi, Alessio Santamaria
    http://arxiv.org/abs/2012.14778v1

    • [cs.CL]Conditional Generation of Temporally-ordered Event Sequences
    Shih-Ting Lin, Nathanael Chambers, Greg Durrett
    http://arxiv.org/abs/2012.15786v1

    • [cs.CL]Continual Learning in Task-Oriented Dialogue Systems
    Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon, Paul Crook, Bing Liu, Zhou Yu, Eunjoon Cho, Zhiguang Wang
    http://arxiv.org/abs/2012.15504v1

    • [cs.CL]Coreference Reasoning in Machine Reading Comprehension
    Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth, Iryna Gurevych
    http://arxiv.org/abs/2012.15573v1

    • [cs.CL]DEER: A Data Efficient Language Model for Event Temporal Reasoning
    Rujun Han, Xiang Ren, Nanyun Peng
    http://arxiv.org/abs/2012.15283v1

    • [cs.CL]DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs
    Lasha Abzianidze, Johan Bos, Stephan Oepen
    http://arxiv.org/abs/2012.14837v1

    • [cs.CL]Deriving Contextualised Semantic Features from BERT (and Other Transformer Model) Embeddings
    Jacob Turton, David Vinson, Robert Elliott Smith
    http://arxiv.org/abs/2012.15353v1

    • [cs.CL]Dialogue Graph Modeling for Conversational Machine Reading
    Siru Ouyang, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2012.14827v1

    • [cs.CL]Dialogue Response Selection with Hierarchical Curriculum Learning
    Yixuan Su, Deng Cai, Qingyu Zhou, Zibo Lin, Simon Baker, Yunbo Cao, Shuming Shi, Nigel Collier, Yan Wang
    http://arxiv.org/abs/2012.14756v1

    • [cs.CL]Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation
    Damian Pascual, Beni Egressy, Florian Bolli, Roger Wattenhofer
    http://arxiv.org/abs/2012.15416v1

    • [cs.CL]DynaSent: A Dynamic Benchmark for Sentiment Analysis
    Christopher Potts, Zhengxuan Wu, Atticus Geiger, Douwe Kiela
    http://arxiv.org/abs/2012.15349v1

    • [cs.CL]ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
    Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou
    http://arxiv.org/abs/2012.15022v1

    • [cs.CL]ERNIE-DOC: The Retrospective Long-Document Modeling Transformer
    Siyu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
    http://arxiv.org/abs/2012.15688v1

    • [cs.CL]ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora
    Xuan Ouyang, Shuohuan Wang, Chao Pang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
    http://arxiv.org/abs/2012.15674v1

    • [cs.CL]Enhancing Pre-trained Language Model with Lexical Simplification
    Rongzhou Bao, Jiayi Wang, Zhuosheng Zhang, Hai Zhao
    http://arxiv.org/abs/2012.15070v1

    • [cs.CL]Exploring Monolingual Data for Neural Machine Translation with Knowledge Distillation
    Alham Fikri Aji, Kenneth Heafield
    http://arxiv.org/abs/2012.15455v1

    • [cs.CL]FDMT: A Benchmark Dataset for Fine-grained Domain Adaptation in Machine Translation
    Wenhao Zhu, Shujian Huang, Tong Pu, Xu Zhang, Jian Yu, Wei Chen, Yanfeng Wang, Jiajun Chen
    http://arxiv.org/abs/2012.15717v1

    • [cs.CL]Factual Error Correction of Claims
    James Thorne, Andreas Vlachos
    http://arxiv.org/abs/2012.15788v1

    • [cs.CL]Faster Re-translation Using Non-Autoregressive Model For Simultaneous Neural Machine Translation
    Hyojung Han, Sathish Indurthi, Mohd Abbas Zaidi, Nikhil Kumar Lakumarapu, Beomseok Lee, Sangha Kim, Chanwoo Kim, Inchul Hwang
    http://arxiv.org/abs/2012.14681v1

    • [cs.CL]Few-Shot Named Entity Recognition: A Comprehensive Study
    Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han
    http://arxiv.org/abs/2012.14978v1

    • [cs.CL]FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
    Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Wen-tau Yih, Yashar Mehdad, Srinivasan Iyer
    http://arxiv.org/abs/2012.15482v1

    • [cs.CL]Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade
    Jiatao Gu, Xiang Kong
    http://arxiv.org/abs/2012.15833v1

    • [cs.CL]Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces
    Linyang Li, Yunfan Shao, Demin Song, Xipeng Qiu, Xuanjing Huang
    http://arxiv.org/abs/2012.14769v1

    • [cs.CL]Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
    Raphael Schumann, Stefan Riezler
    http://arxiv.org/abs/2012.15329v1

    • [cs.CL]Generating Natural Language Attacks in a Hard Label Black Box Setting
    Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi
    http://arxiv.org/abs/2012.14956v1

    • [cs.CL]Generating Wikipedia Article Sections from Diverse Data Sources
    Mingda Chen, Sam Wiseman, Kevin Gimpel
    http://arxiv.org/abs/2012.14919v1

    • [cs.CL]HateCheck: Functional Tests for Hate Speech Detection Models
    Paul Röttger, Bertram Vidgen, Dong Nguyen, Zeerak Waseem, Helen Margetts, Janet Pierrehumbert
    http://arxiv.org/abs/2012.15606v1

    • [cs.CL]HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
    Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu
    http://arxiv.org/abs/2012.15534v1

    • [cs.CL]How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models
    Phillip Rust, Jonas Pfeiffer, Ivan Vulić, Sebastian Ruder, Iryna Gurevych
    http://arxiv.org/abs/2012.15613v1

    • [cs.CL]Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA
    Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer
    http://arxiv.org/abs/2012.15075v1

    • [cs.CL]Improving BERT with Syntax-aware Local Attention
    Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu, Yunbo Cao
    http://arxiv.org/abs/2012.15150v1

    • [cs.CL]Improving Zero-Shot Translation by Disentangling Positional Information
    Danni Liu, Jan Niehues, James Cross, Francisco Guzmán, Xian Li
    http://arxiv.org/abs/2012.15127v1

    • [cs.CL]Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines
    Yangming Li, Kaisheng Yao
    http://arxiv.org/abs/2012.14645v1

    • [cs.CL]Intrinsic Bias Metrics Do Not Correlate with Application Bias
    Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sanchez, Mugdha Pandya, Adam Lopez
    http://arxiv.org/abs/2012.15859v1

    • [cs.CL]Introducing Orthogonal Constraint in Structural Probes
    Tomasz Limisiewicz, David Mareček
    http://arxiv.org/abs/2012.15228v1

    • [cs.CL]Is human scoring the best criteria for summary evaluation?
    Oleg Vasilyev, John Bohannon
    http://arxiv.org/abs/2012.14602v1

    • [cs.CL]Joint Verification and Reranking for Open Fact Checking Over Tables
    Michael Schlichtkrull, Vladimir Karpukhin, Barlas Oğuz, Mike Lewis, Wen-tau Yih, Sebastian Riedel
    http://arxiv.org/abs/2012.15115v1

    • [cs.CL]Language Identification of Devanagari Poems
    Priyankit Acharya, Aditya Ku. Pathak, Rakesh Ch. Balabantaray, Anil Ku. Singh
    http://arxiv.org/abs/2012.15023v1

    • [cs.CL]LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
    Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou
    http://arxiv.org/abs/2012.14740v1

    • [cs.CL]Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection
    Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela
    http://arxiv.org/abs/2012.15761v1

    • [cs.CL]Linear-Time WordPiece Tokenization
    Xinying Song, Alex Salcianu, Yang Song, Dave Dopson, Denny Zhou
    http://arxiv.org/abs/2012.15524v1

    • [cs.CL]Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness
    Sabrina J. Mielke, Arthur Szlam, Y-Lan Boureau, Emily Dinan
    http://arxiv.org/abs/2012.14983v1

    • [cs.CL]Making Pre-trained Language Models Better Few-shot Learners
    Tianyu Gao, Adam Fisch, Danqi Chen
    http://arxiv.org/abs/2012.15723v1

    • [cs.CL]MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers
    Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong, Furu Wei
    http://arxiv.org/abs/2012.15828v1

    • [cs.CL]Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences
    Denis Emelin, Ronan Le Bras, Jena D. Hwang, Maxwell Forbes, Yejin Choi
    http://arxiv.org/abs/2012.15738v1

    • [cs.CL]Multiple Structural Priors Guided Self Attention Network for Language Understanding
    Le Qi, Yu Zhang, Qingyu Yin, Ting Liu
    http://arxiv.org/abs/2012.14642v1

    • [cs.CL]Neural Machine Translation: A Review of Methods, Resources, and Tools
    Zhixing Tan, Shuo Wang, Zonghan Yang, Gang Chen, Xuancheng Huang, Maosong Sun, Yang Liu
    http://arxiv.org/abs/2012.15515v1

    • [cs.CL]Open Korean Corpora: A Practical Report
    Won Ik Cho, Sangwhan Moon, Youngsook Song
    http://arxiv.org/abs/2012.15621v1

    • [cs.CL]OpenViDial: A Large-Scale, Open-Domain Dialogue Dataset with Visual Contexts
    Yuxian Meng, Shuhe Wang, Qinghong Han, Xiaofei Sun, Fei Wu, Rui Yan, Jiwei Li
    http://arxiv.org/abs/2012.15015v1

    • [cs.CL]Optimizing Deeper Transformers on Small Datasets: An Application on Text-to-SQL Semantic Parsing
    Peng Xu, Wei Yang, Wenjie Zi, Keyi Tang, Chengyang Huang, Jackie Chi Kit Cheung, Yanshuai Cao
    http://arxiv.org/abs/2012.15355v1

    • [cs.CL]Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?
    Thang M. Pham, Trung Bui, Long Mai, Anh Nguyen
    http://arxiv.org/abs/2012.15180v1

    • [cs.CL]Predicting cross-linguistic adjective order with information gain
    William Dyer, Richard Futrell, Zoey Liu, Gregory Scontras
    http://arxiv.org/abs/2012.15263v1

    • [cs.CL]Promoting Graph Awareness in Linearized Graph-to-Text Generation
    Alexander Hoyle, Ana Marasović, Noah Smith
    http://arxiv.org/abs/2012.15793v1

    • [cs.CL]RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
    Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao
    http://arxiv.org/abs/2012.14666v1

    • [cs.CL]Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration
    Weiyan Shi, Yu Li, Saurav Sahay, Zhou Yu
    http://arxiv.org/abs/2012.15375v1

    • [cs.CL]Reservoir Transformer
    Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela
    http://arxiv.org/abs/2012.15045v1

    • [cs.CL]Revisiting Robust Neural Machine Translation: A Transformer Case Study
    Peyman Passban, Puneeth S. M. Saladi, Qun Liu
    http://arxiv.org/abs/2012.15710v1

    • [cs.CL]Robust Dialogue Utterance Rewriting as Sequence Tagging
    Jie Hao, Linfeng Song, Liwei Wang, Kun Xu, Zhaopeng Tu, Dong Yu
    http://arxiv.org/abs/2012.14535v1

    • [cs.CL]Robustness Testing of Language Understanding in Dialog Systems
    Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Weiran Nie, Hongyan Li, Cheng Li, Wei Peng, Minlie Huang
    http://arxiv.org/abs/2012.15262v1

    • [cs.CL]SIT3: Code Summarization with Structure-Induced Transformer
    Hongqiu Wu, Hai Zhao, Min Zhang
    http://arxiv.org/abs/2012.14710v1

    • [cs.CL]Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings
    Kiran Ramnath, Mark Hasegawa-Johnson
    http://arxiv.org/abs/2012.15484v1

    • [cs.CL]SemGloVe: Semantic Co-occurrences for GloVe from BERT
    Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang
    http://arxiv.org/abs/2012.15197v1

    • [cs.CL]Shortformer: Better Language Modeling using Shorter Inputs
    Ofir Press, Noah A. Smith, Mike Lewis
    http://arxiv.org/abs/2012.15832v1

    • [cs.CL]Studying Strategically: Learning to Mask for Closed-book QA
    Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Xiang Ren, Wen-tau Yih, Madian Khabsa
    http://arxiv.org/abs/2012.15856v1

    • [cs.CL]Synthetic Source Language Augmentation for Colloquial Neural Machine Translation
    Asrul Sani Ariesandy, Mukhlis Amien, Alham Fikri Aji, Radityo Eko Prasojo
    http://arxiv.org/abs/2012.15178v1

    • [cs.CL]TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis
    Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi
    http://arxiv.org/abs/2012.15639v1

    • [cs.CL]Text-Free Image-to-Speech Synthesis Using Learned Segmental Units
    Wei-Ning Hsu, David Harwath, Christopher Song, James Glass
    http://arxiv.org/abs/2012.15454v1

    • [cs.CL]The Parallel Meaning Bank: A Framework for Semantically Annotating Multiple Languages
    Lasha Abzianidze, Rik van Noord, Chunliu Wang, Johan Bos
    http://arxiv.org/abs/2012.14854v1

    • [cs.CL]The jsRealB Text Realizer: Organization and Use Cases
    Guy Lapalme
    http://arxiv.org/abs/2012.15425v1

    • [cs.CL]Towards Fully Automated Manga Translation
    Ryota Hinami, Shonosuke Ishiwatari, Kazuhiko Yasuda, Yusuke Matsui
    http://arxiv.org/abs/2012.14271v2

    • [cs.CL]Towards Zero-Shot Knowledge Distillation for Natural Language Processing
    Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
    http://arxiv.org/abs/2012.15495v1

    • [cs.CL]Transformer Feed-Forward Layers Are Key-Value Memories
    Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy
    http://arxiv.org/abs/2012.14913v1

    • [cs.CL]UCCA’s Foundational Layer: Annotation Guidelines v2.1
    Omri Abend, Nathan Schneider, Dotan Dvir, Jakob Prange, Ari Rappoport
    http://arxiv.org/abs/2012.15810v1

    • [cs.CL]UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
    Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu, Haifeng Wang
    http://arxiv.org/abs/2012.15409v1

    • [cs.CL]UNKs Everywhere: Adapting Multilingual Language Models to New Scripts
    Jonas Pfeiffer, Ivan Vulić, Iryna Gurevych, Sebastian Ruder
    http://arxiv.org/abs/2012.15562v1

    • [cs.CL]Understanding Politics via Contextualized Discourse Processing
    Rajkumar Pujari, Dan Goldwasser
    http://arxiv.org/abs/2012.15784v1

    • [cs.CL]Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
    Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
    http://arxiv.org/abs/2012.14768v1

    • [cs.CL]Understanding and Improving Lexical Choice in Non-Autoregressive Translation
    Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
    http://arxiv.org/abs/2012.14583v1

    • [cs.CL]Unified Open-Domain Question Answering with Structured and Unstructured Knowledge
    Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih
    http://arxiv.org/abs/2012.14610v1

    • [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/2012.14388v2

    • [cs.CL]Unsupervised Label-aware Event Trigger and Argument Classification
    Hongming Zhang, Haoyu Wang, Dan Roth
    http://arxiv.org/abs/2012.15243v1

    • [cs.CL]Using Natural Language Relations between Answer Choices for Machine Comprehension
    Rajkumar Pujari, Dan Goldwasser
    http://arxiv.org/abs/2012.15837v1

    • [cs.CL]VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
    Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li
    http://arxiv.org/abs/2012.15671v1

    • [cs.CL]Verb Knowledge Injection for Multilingual Event Processing
    Olga Majewska, Ivan Vulić, Goran Glavaš, Edoardo M. Ponti, Anna Korhonen
    http://arxiv.org/abs/2012.15421v1

    • [cs.CL]XLM-T: Scaling up Multilingual Machine Translation with Pretrained Cross-lingual Transformer Encoders
    Shuming Ma, Jian Yang, Haoyang Huang, Zewen Chi, Li Dong, Dongdong Zhang, Hany Hassan Awadalla, Alexandre Muzio, Akiko Eriguchi, Saksham Singhal, Xia Song, Arul Menezes, Furu Wei
    http://arxiv.org/abs/2012.15547v1

    • [cs.CL]YASO: A New Benchmark for Targeted Sentiment Analysis
    Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim
    http://arxiv.org/abs/2012.14541v1

    • [cs.CL]kōan: A Corrected CBOW Implementation
    Ozan İrsoy, Adrian Benton, Karl Stratos
    http://arxiv.org/abs/2012.15332v1

    • [cs.CR]A Decentralized Dynamic PKI based on Blockchain
    Mohsen Toorani, Christian Gehrmann
    http://arxiv.org/abs/2012.15351v1

    • [cs.CR]Privacy-Preserving Methods for Vertically Partitioned Incomplete Data
    Yi Deng, Xiaoqian Jiang, Qi Long
    http://arxiv.org/abs/2012.14954v1

    • [cs.CR]ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide)
    Miki E. Verma, Michael D. Iannacone, Robert A. Bridges, Samuel C. Hollifield, Bill Kay, Frank L. Combs
    http://arxiv.org/abs/2012.14600v1

    • [cs.CR]Scams in modern societies: how does China differ from the world?
    Jeff Yan
    http://arxiv.org/abs/2012.14867v1

    • [cs.CR]Stack-based Buffer Overflow Detection using Recurrent Neural Networks
    William Arild Dahl, Laszlo Erdodi, Fabio Massimo Zennaro
    http://arxiv.org/abs/2012.15116v1

    • [cs.CV]2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
    Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis
    http://arxiv.org/abs/2012.14950v1

    • [cs.CV]3D Human motion anticipation and classification
    Emad Barsoum, John Kender, Zicheng Liu
    http://arxiv.org/abs/2012.15378v1

    • [cs.CV]A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
    Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonçalves, Alexandre Dias, Juliana Batistoti, Mauricio de Souza, Felipe David Georges Gomes, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Veraldo Liesenberg, Jonathan Li, Lingfei Ma, José Marcato Junior, Wesley Nunes Gonçalves
    http://arxiv.org/abs/2012.15827v1

    • [cs.CV]A Deep Retinal Image Quality Assessment Network with Salient Structure Priors
    Ziwen Xu, beiji Zou, Qing Liu
    http://arxiv.org/abs/2012.15575v1

    • [cs.CV]AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
    Tao Pu, Tianshui Chen, Yuan Xie, Hefeng Wu, Liang Lin
    http://arxiv.org/abs/2012.14587v1

    • [cs.CV]Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications
    Loic Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir, Jan Deprest, Sebastien Ourselin, Juan Eugenio Iglesias, Tom Vercauteren
    http://arxiv.org/abs/2012.15343v1

    • [cs.CV]Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images
    Kailiang Lu
    http://arxiv.org/abs/2012.14704v1

    • [cs.CV]Audio-Visual Floorplan Reconstruction
    Senthil Purushwalkam, Sebastian Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman
    http://arxiv.org/abs/2012.15470v1

    • [cs.CV]Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions
    Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang
    http://arxiv.org/abs/2012.15386v1

    • [cs.CV]Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning
    Tasfia Shermin, Shyh Wei Teng, Ferdous Sohel, Manzur Murshed, Guojun Lu
    http://arxiv.org/abs/2012.15054v1

    • [cs.CV]CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal
    Haoyue Bai, S. -H. Gary Chan
    http://arxiv.org/abs/2012.15685v1

    • [cs.CV]COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
    Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson
    http://arxiv.org/abs/2012.14690v1

    • [cs.CV]Chasing the Tail in Monocular 3D Human Reconstruction with Prototype Memory
    Yu Rong, Ziwei Liu, Chen Change Loy
    http://arxiv.org/abs/2012.14739v1

    • [cs.CV]CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
    Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He
    http://arxiv.org/abs/2012.15638v1

    • [cs.CV]DUT-LFSaliency: Versatile Dataset and Light Field-to-RGB Saliency Detection
    Yongri Piao, Zhengkun Rong, Shuang Xu, Miao Zhang, Huchuan Lu
    http://arxiv.org/abs/2012.15124v1

    • [cs.CV]Damaged Fingerprint Recognition by Convolutional Long Short-Term Memory Networks for Forensic Purposes
    Jaouhar Fattahi, Mohamed Mejri
    http://arxiv.org/abs/2012.15041v1

    • [cs.CV]Deep Hashing for Secure Multimodal Biometrics
    Veeru Talreja, Matthew Valenti, Nasser Nasrabadi
    http://arxiv.org/abs/2012.14758v1

    • [cs.CV]Detecting Hate Speech in Multi-modal Memes
    Abhishek Das, Japsimar Singh Wahi, Siyao Li
    http://arxiv.org/abs/2012.14891v1

    • [cs.CV]FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation
    Yajun Xu, Shogo Arai, Diyi Liu, Fangzhou Lin, Kazuhiro Kosuge
    http://arxiv.org/abs/2012.14618v1

    • [cs.CV]Graph-based non-linear least squares optimization for visual place recognition in changing environments
    Stefan Schubert, Peer Neubert, Peter Protzel
    http://arxiv.org/abs/2012.14766v1

    • [cs.CV]Hierarchical Representation via Message Propagation for Robust Model Fitting
    Shuyuan Lin, Xing Wang, Guobao Xiao, Yan Yan, Hanzi Wang
    http://arxiv.org/abs/2012.14597v1

    • [cs.CV]Illumination Estimation Challenge: experience of past two years
    Egor Ershov, Alex Savchik, Ilya Semenkov, Nikola Banić, Karlo Koscević, Marko Subašić, Alexander Belokopytov, Zhihao Li, Arseniy Terekhin, Daria Senshina, Artem Nikonorov, Yanlin Qian, Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini, Sven Lončarić, Dmitry Nikolaev
    http://arxiv.org/abs/2012.15779v1

    • [cs.CV]Image-to-Image Retrieval by Learning Similarity between Scene Graphs
    Sangwoong Yoon, Woo Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim
    http://arxiv.org/abs/2012.14700v1

    • [cs.CV]Incremental Embedding Learning via Zero-Shot Translation
    Kun Wei, Cheng Deng, Xu Yang, Maosen Li
    http://arxiv.org/abs/2012.15497v1

    • [cs.CV]Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
    Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao
    http://arxiv.org/abs/2012.15359v1

    • [cs.CV]Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks
    Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu
    http://arxiv.org/abs/2012.15463v1

    • [cs.CV]Learning a Dynamic Map of Visual Appearance
    Tawfiq Salem, Scott Workman, Nathan Jacobs
    http://arxiv.org/abs/2012.14885v1

    • [cs.CV]MGML: Multi-Granularity Multi-Level Feature Ensemble Network for Remote Sensing Scene Classification
    Qi Zhao, Shuchang Lyu, Yuewen Li, Yujing Ma, Lijiang Chen
    http://arxiv.org/abs/2012.14569v1

    • [cs.CV]MM-FSOD: Meta and metric integrated few-shot object detection
    Yuewen Li, Wenquan Feng, Shuchang Lyu, Qi Zhao, Xuliang Li
    http://arxiv.org/abs/2012.15159v1

    • [cs.CV]MS-GWNN:multi-scale graph wavelet neural network for breast cancer diagnosis
    Mo Zhang, Quanzheng Li
    http://arxiv.org/abs/2012.14619v1

    • [cs.CV]NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
    Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu
    http://arxiv.org/abs/2012.15028v1

    • [cs.CV]Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
    Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou
    http://arxiv.org/abs/2012.15838v1

    • [cs.CV]NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram
    Zhengxia Zou, Tianyang Shi, Yi Yuan, Zhenwei Shi
    http://arxiv.org/abs/2012.15692v1

    • [cs.CV]OSTeC: One-Shot Texture Completion
    Baris Gecer, Jiankang Deng, Stefanos Zafeiriou
    http://arxiv.org/abs/2012.15370v1

    • [cs.CV]Object sorting using faster R-CNN
    Pengchang Chen, Vinayak Elangovan
    http://arxiv.org/abs/2012.14840v1

    • [cs.CV]Patch-wise++ Perturbation for Adversarial Targeted Attacks
    Lianli Gao, Qilong Zhang, Jingkuan Song, Heng Tao Shen
    http://arxiv.org/abs/2012.15503v1

    • [cs.CV]Provident Vehicle Detection at Night: The PVDN Dataset
    Lars Ohnemus, Lukas Ewecker, Ebubekir Asan, Stefan Roos, Simon Isele, Jakob Ketterer, Leopold Müller, Sascha Saralajew
    http://arxiv.org/abs/2012.15376v1

    • [cs.CV]RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving
    Peixuan Li, Shun Su, Huaici Zhao
    http://arxiv.org/abs/2012.15072v1

    • [cs.CV]Real-time Webcam Heart-Rate and Variability Estimation with Clean Ground Truth for Evaluation
    Amogh Gudi, Marian Bittner, Jan van Gemert
    http://arxiv.org/abs/2012.15846v1

    • [cs.CV]Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers
    Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang
    http://arxiv.org/abs/2012.15840v1

    • [cs.CV]Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
    Zhengxiong Luo, Zhicheng Wang, Yan Huang, Tieniu Tan, Erjin Zhou
    http://arxiv.org/abs/2012.15175v1

    • [cs.CV]SALA: Soft Assignment Local Aggregation for 3D Semantic Segmentation
    Hani Itani, Silvio Giancola, Ali Thabet, Bernard Ghanem
    http://arxiv.org/abs/2012.14929v1

    • [cs.CV]SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation
    Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
    http://arxiv.org/abs/2012.15439v1

    • [cs.CV]SharpGAN: Receptive Field Block Net for Dynamic Scene Deblurring
    Hui Feng, Jundong Guo, Sam Shuzhi Ge
    http://arxiv.org/abs/2012.15432v1

    • [cs.CV]SkiNet: A Deep Learning Solution for Skin Lesion Diagnosis with Uncertainty Estimation and Explainability
    Rajeev Kumar Singh, Rohan Gorantla, Sai Giridhar Allada, Narra Pratap
    http://arxiv.org/abs/2012.15049v1

    • [cs.CV]Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers
    Krishna Kanth Nakka, Mathieu Salzmann
    http://arxiv.org/abs/2012.15183v1

    • [cs.CV]The VIP Gallery for Video Processing Education
    Todd Goodall, Alan C. Bovik
    http://arxiv.org/abs/2012.14625v1

    • [cs.CV]Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge
    Xiu-Shen Wei, Yu-Yan Xu, Yazhou Yao, Jia Wei, Si Xi, Wenyuan Xu, Weidong Zhang, Xiaoxin Lv, Dengpan Fu, Qing Li, Baoying Chen, Haojie Guo, Taolue Xue, Haipeng Jing, Zhiheng Wang, Tianming Zhang, Mingwen Zhang
    http://arxiv.org/abs/2012.14672v1

    • [cs.CV]Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy
    Shuang Xu, Lizhen Ji, Zhe Wang, Pengfei Li, Kai Sun, Chunxia Zhang, Jiangshe Zhang
    http://arxiv.org/abs/2012.14678v1

    • [cs.CV]Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network
    Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, Sam Kwong
    http://arxiv.org/abs/2012.15020v1

    • [cs.CV]TransTrack: Multiple-Object Tracking with Transformer
    Peize Sun, Yi Jiang, Rufeng Zhang, Enze Xie, Jinkun Cao, Xinting Hu, Tao Kong, Zehuan Yuan, Changhu Wang, Ping Luo
    http://arxiv.org/abs/2012.15460v1

    • [cs.CV]TrustMAE: A Noise-Resilient Defect Classification Framework using Memory-Augmented Auto-Encoders with Trust Regions
    Daniel Stanley Tan, Yi-Chun Chen, Trista Pei-Chun Chen, Wei-Chao Chen
    http://arxiv.org/abs/2012.14629v1

    • [cs.CV]Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes
    Ayça Takmaz, Danda Pani Paudel, Thomas Probst, Ajad Chhatkuli, Martin R. Oswald, Luc Van Gool
    http://arxiv.org/abs/2012.15680v1

    • [cs.CV]Visual Probing and Correction of Object Recognition Models with Interactive user feedback
    Viny Saajan Victor, Pramod Vadiraja, Jan-Tobias Sohns, Heike Leitte
    http://arxiv.org/abs/2012.14544v1

    • [cs.CV]Visual-Thermal Camera Dataset Release and Multi-Modal Alignment without Calibration Information
    Frank Mascarich, Kostas Alexis
    http://arxiv.org/abs/2012.14833v1

    • [cs.CV]Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
    Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li
    http://arxiv.org/abs/2012.15712v1

    • [cs.CV]iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
    Saeed Khorram, Tyler Lawson, Fuxin Li
    http://arxiv.org/abs/2012.15783v1

    • [cs.CY]Formal Statement of the Decision-making Support Problem in the Management of Municipal Social and Economic Development
    Anatoly Sidorov, Maria Shishanina
    http://arxiv.org/abs/2012.14573v1

    • [cs.CY]Improving Learning Experience in MOOCs with Educational Content Linking
    Shang-Wen Li
    http://arxiv.org/abs/2012.15826v1

    • [cs.CY]Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data
    Juhi Kulshrestha, Marcos Oliveira, Orkut Karacalik, Denis Bonnay, Claudia Wagner
    http://arxiv.org/abs/2012.15112v1

    • [cs.DB]BayesCard: A Unified Bayesian Framework for Cardinality Estimation
    Ziniu Wu, Amir Shaikhha
    http://arxiv.org/abs/2012.14743v1

    • [cs.DB]Similarity Classification of Public Transit Stations
    Hannah Bast, Patrick Brosi, Markus Näther
    http://arxiv.org/abs/2012.15267v1

    • [cs.DC]A stable majority population protocol using logarithmic time and states
    David Doty, Mahsa Eftekhari, Eric Severson
    http://arxiv.org/abs/2012.15800v1

    • [cs.DC]Consensus-Based Distributed Computation of Link-Based Network Metrics
    Zheng Chen, Erik G. Larsson
    http://arxiv.org/abs/2012.14971v1

    • [cs.DC]Edge Computing Enabled by Unmanned Autonomous Vehicles
    Mohan Liyanage, Farooq Dar, Rajesh Sharma, Huber Flores
    http://arxiv.org/abs/2012.14713v1

    • [cs.DC]Extracting Clean Performance Models from Tainted Programs
    Marcin Copik, Alexandru Calotoiu, Tobias Grosser, Nicolas Wicki, Felix Wolf, Torsten Hoefler
    http://arxiv.org/abs/2012.15592v1

    • [cs.DC]Fast CUDA-Aware MPI Datatypes without Platform Support
    Carl Pearson, Kun Wu, I-Hsin Chung, Jinjun Xiong, Wen-Mei Hwu
    http://arxiv.org/abs/2012.14363v2

    • [cs.DC]Improving the Performance and Resilience of MPI Parallel Jobs with Topology and Fault-Aware Process Placement
    Ioannis Vardas, Manolis Ploumidis, Manolis Marazakis
    http://arxiv.org/abs/2012.14757v1

    • [cs.DC]Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories
    Yubo Qin, Ivan Rodero, Anthony Simonet, Charles Meertens, Daniel Reiner, James Riley, Manish Parashar
    http://arxiv.org/abs/2012.15321v1

    • [cs.DC]NBR: Neutralization Based Reclamation
    Ajay Singh, Trevor Brown, Ali Mashtizadeh
    http://arxiv.org/abs/2012.14542v1

    • [cs.DC]Quality-Driven Dynamic VVC Frame Partitioning for Efficient Parallel Processing
    Thomas Amestoy, Wassim Hamidouche, Cyril Bergeron, Daniel Menard
    http://arxiv.org/abs/2012.14792v1

    • [cs.DC]SDN helps Big Data to optimize access to data
    Yuankun Fu, Fengguang Song
    http://arxiv.org/abs/2012.15295v1

    • [cs.DC]Scaling Replicated State Machines with Compartmentalization
    Michael Whittaker, Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Neil Giridharan, Joseph M. Hellerstein, Heidi Howard, Ion Stoica, Adriana Szekeres
    http://arxiv.org/abs/2012.15762v1

    • [cs.DC]Thermal Safety and Real-Time Predictability on Heterogeneous Embedded SoC Platforms
    Seyed Mehdi Hosseini Motlagh
    http://arxiv.org/abs/2012.14790v1

    • [cs.DC]When Load Rebalancing Does Not Work for Distributed Hash Table
    Yuqing Zhu
    http://arxiv.org/abs/2012.15027v1

    • [cs.DM]Logical indetermination coupling: a method to minimize drawing matches and its applications
    Pierre Bertrand, Michel Broniatowski, Jean-François Marcotorchino
    http://arxiv.org/abs/2012.14674v1

    • [cs.DS]Bundled References: An Abstraction for Highly-Concurrent Linearizable Range Queries
    Jacob Nelson, Ahmed Hassan, Roberto Palmieri
    http://arxiv.org/abs/2012.15438v1

    • [cs.DS]Minor Sparsifiers and the Distributed Laplacian Paradigm
    Sebastian Forster, Gramoz Goranci, Yang P. Liu, Richard Peng, Xiaorui Sun, Mingquan Ye
    http://arxiv.org/abs/2012.15675v1

    • [cs.DS]No-substitution k-means Clustering with Adversarial Order
    Robi Bhattacharjee, Michal Moshkovitz
    http://arxiv.org/abs/2012.14512v1

    • [cs.DS]Some Algorithms on Exact, Approximate and Error-Tolerant Graph Matching
    Shri Prakash Dwivedi
    http://arxiv.org/abs/2012.15279v1

    • [cs.DS]Testing Product Distributions: A Closer Look
    Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, N. V. Vinodchandran
    http://arxiv.org/abs/2012.14632v1

    • [cs.GT]Multi-Principal Assistance Games: Definition and Collegial Mechanisms
    Arnaud Fickinger, Simon Zhuang, Andrew Critch, Dylan Hadfield-Menell, Stuart Russell
    http://arxiv.org/abs/2012.14536v1

    • [cs.GT]The Price is (Probably) Right: Learning Market Equilibria from Samples
    Omer Lev, Neel Patel, Vignesh Viswanathan, Yair Zick
    http://arxiv.org/abs/2012.14838v1

    • [cs.HC]Exploration of Voice User Interfaces for Older Adults - A Pilot Study to Address Progressive Vision Loss
    Anna Jaskulska, Kinga Skorupska, Barbara Karpowicz, Cezary Biele, Jarosław Kowalski, Wiesław Kopeć
    http://arxiv.org/abs/2012.15853v1

    • [cs.HC]Measuring an adaptive change in human decision-making from AI: Application to evaluate changes after AlphaGo
    Minkyu Shin, Minkyung Kim, Jin Kim
    http://arxiv.org/abs/2012.15035v1

    • [cs.IR]Design Knowledge Representation with Technology Semantic Network
    Serhad Sarica, Jianxi Luo
    http://arxiv.org/abs/2012.15518v1

    • [cs.IR]Hybrid Interest Modeling for Long-tailed Users
    Lifang Deng, Jin Niu, Angulia Yang, Qidi Xu, Xiang Fu, Jiandong Zhang, Anxiang Zeng
    http://arxiv.org/abs/2012.14770v1

    • [cs.IR]Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision
    Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu, Paul Bennett
    http://arxiv.org/abs/2012.14862v1

    • [cs.IR]Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering
    Andrew Collins, Laura Tierney, Joeran Beel
    http://arxiv.org/abs/2012.15151v1

    • [cs.IR]Simplifying Impact Prediction for Scientific Articles
    Thanasis Vergoulis, Ilias Kanellos, Giorgos Giannopoulos, Theodore Dalamagas
    http://arxiv.org/abs/2012.15192v1

    • [cs.IR]Supporting Human Memory by Reconstructing Personal Episodic Narratives from Digital Traces
    Varvara Kalokyri, Alexander Borgida, Amélie Marian
    http://arxiv.org/abs/2012.14803v1

    • [cs.IT]A Number Theoretic Approach for Fast Discovery of Single-Hop Wireless Networks
    Tolunay Seyfi, Ahmed P. Mohamed, Aly El Gamal
    http://arxiv.org/abs/2012.14922v1

    • [cs.IT]Commutative Information Algebras: Representation and Duality Theory
    Juerg Kohlas, Juerg Schmid
    http://arxiv.org/abs/2012.15090v1

    • [cs.IT]Minorization via Mixed Volumes and Cover’s Problem for General Channels
    Jingbo Liu
    http://arxiv.org/abs/2012.14521v1

    • [cs.IT]New Constructions of Optimal Locally Repairable Codes with Super-Linear Length
    Xiangliang Kong, Xin Wang, Gennnian Ge
    http://arxiv.org/abs/2012.15094v1

    • [cs.IT]Performance Analysis of 2-Step Random Access with CDMA in Machine-Type Communication
    Jinho Choi
    http://arxiv.org/abs/2012.14603v1

    • [cs.IT]Quantum error-correcting codes from matrix-product codes related to quasi-orthogonal matrices and quasi-unitary matrices
    Meng Cao
    http://arxiv.org/abs/2012.15691v1

    • [cs.IT]Refined Nonlinear Rectenna Modeling and Optimal Waveform Design for Multi-User Multi-Antenna Wireless Power Transfer
    Samith Abeywickrama, Rui Zhang, Chau Yuen
    http://arxiv.org/abs/2012.15615v1

    • [cs.IT]Timely Communication in Federated Learning
    Baturalp Buyukates, Sennur Ulukus
    http://arxiv.org/abs/2012.15831v1

    • [cs.IT]Trapping Sets of Quantum LDPC Codes
    Nithin Raveendran, Bane Vasić
    http://arxiv.org/abs/2012.15297v1

    • [cs.LG]A Constant-time Adaptive Negative Sampling
    Shabnam Daghaghi, Tharun Medini, Beidi Chen, Mengnan Zhao, Anshumali Shrivastava
    http://arxiv.org/abs/2012.15843v1

    • [cs.LG]A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis
    Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson
    http://arxiv.org/abs/2012.14574v1

    • [cs.LG]A Maximal Correlation Approach to Imposing Fairness in Machine Learning
    Joshua Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory Wornell, Leonid Karlinsky, Rogerio Feris
    http://arxiv.org/abs/2012.15259v1

    • [cs.LG]A Novel Resampling Technique for Imbalanced Dataset Optimization
    Ivan Letteri, Antonio Di Cecco, Abeer Dyoub, Giuseppe Della Penna
    http://arxiv.org/abs/2012.15231v1

    • [cs.LG]AILearn: An Adaptive Incremental Learning Model for Spoof Fingerprint Detection
    Shivang Agarwal, Ajita Rattani, C. Ravindranath Chowdary
    http://arxiv.org/abs/2012.14639v1

    • [cs.LG]Accelerated NMR Spectroscopy: Merge Optimization with Deep Learning
    Zi Wang, Di Guo, Yihui Huang, Zhangren Tu, Vladislav Orekhov, Xiaobo Qu
    http://arxiv.org/abs/2012.14830v1

    • [cs.LG]Accelerating ODE-Based Neural Networks on Low-Cost FPGAs
    Hirohisa Watanabe, Hiroki Matsutani
    http://arxiv.org/abs/2012.15465v1

    • [cs.LG]Adaptive Graph Diffusion Networks with Hop-wise Attention
    Chuxiong Sun, Guoshi Wu
    http://arxiv.org/abs/2012.15024v1

    • [cs.LG]Algorithms for Learning Graphs in Financial Markets
    José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Perez Palomar
    http://arxiv.org/abs/2012.15410v1

    • [cs.LG]An Online Algorithm for Maximum-Likelihood Quantum State Tomography
    Chien-Ming Lin, Yu-Min Hsu, Yen-Huan Li
    http://arxiv.org/abs/2012.15498v1

    • [cs.LG]Asynchronous Advantage Actor Critic: Non-asymptotic Analysis and Linear Speedup
    Han Shen, Kaiqing Zhang, Mingyi Hong, Tianyi Chen
    http://arxiv.org/abs/2012.15511v1

    • [cs.LG]AttrE2vec: Unsupervised Attributed Edge Representation Learning
    Piotr Bielak, Tomasz Kajdanowicz, Nitesh V. Chawla
    http://arxiv.org/abs/2012.14727v1

    • [cs.LG]Automatic Historical Feature Generation through Tree-based Method in Ads Prediction
    Hongjian Wang, Qi Li, Lanbo Zhang, Yue Lu, Steven Yoo, Srinivas Vadrevu, Zhenhui Li
    http://arxiv.org/abs/2012.15522v1

    • [cs.LG]Binary Graph Neural Networks
    Mehdi Bahri, Gaétan Bahl, Stefanos Zafeiriou
    http://arxiv.org/abs/2012.15823v1

    • [cs.LG]CADA: Communication-Adaptive Distributed Adam
    Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin
    http://arxiv.org/abs/2012.15469v1

    • [cs.LG]Classification of Pathological and Normal Gait: A Survey
    Ryan C. Saxe, Samantha Kappagoda, David K. A. Mordecai
    http://arxiv.org/abs/2012.14465v1

    • [cs.LG]Coded Machine Unlearning
    Nasser Aldaghri, Hessam Mahdavifar, Ahmad Beirami
    http://arxiv.org/abs/2012.15721v1

    • [cs.LG]Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation
    Yuko Kuroki, Junya Honda, Masashi Sugiyama
    http://arxiv.org/abs/2012.15584v1

    • [cs.LG]Continuity of Generalized Entropy and Statistical Learning
    Aolin Xu
    http://arxiv.org/abs/2012.15829v1

    • [cs.LG]Crossover-SGD: A gossip-based communication in distributed deep learning for alleviating large mini-batch problem and enhancing scalability
    Sangho Yeo, Minho Bae, Minjoong Jeong, Oh-kyoung Kwon, Sangyoon Oh
    http://arxiv.org/abs/2012.15198v1

    • [cs.LG]Decentralized Control with Graph Neural Networks
    Fernando Gama, Qingbiao Li, Ekaterina Tolstaya, Amanda Prorok, Alejandro Ribeiro
    http://arxiv.org/abs/2012.14906v1

    • [cs.LG]Deep Graph Generators: A Survey
    Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
    http://arxiv.org/abs/2012.15544v1

    • [cs.LG]DeepSphere: a graph-based spherical CNN
    Michaël Defferrard, Martino Milani, Frédérick Gusset, Nathanaël Perraudin
    http://arxiv.org/abs/2012.15000v1

    • [cs.LG]DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data
    Erfan Pakdamanian, Shili Sheng, Sonia Baee, Seongkook Heo, Sarit Kraus, Lu Feng
    http://arxiv.org/abs/2012.15441v1

    • [cs.LG]Detecting Anomalous line-items by Modeling the Legal Case Lifecycle
    Valentino Constantinou, Mori Kabiri
    http://arxiv.org/abs/2012.14511v1

    • [cs.LG]Divergence Regulated Encoder Network for Joint Dimensionality Reduction and Classification
    Joshua Peeples, Sarah Walker, Connor McCurley, Alina Zare, James Keller
    http://arxiv.org/abs/2012.15764v1

    • [cs.LG]Drift-Aware Multi-Memory Model for Imbalanced Data Streams
    Amir Abolfazli, Eirini Ntoutsi
    http://arxiv.org/abs/2012.14791v1

    • [cs.LG]Dynamic Graph-Based Anomaly Detection in the Electrical Grid
    Shimiao Li, Bryan Hooi, Amritanshu Pandey, Christos Faloutsos, Larry Pileggi
    http://arxiv.org/abs/2012.15006v1

    • [cs.LG]Elastic Net based Feature Ranking and Selection
    Shaode Yu, Haobo Chen, Hang Yu, Zhicheng Zhang, Xiaokun Liang, Wenjian Qin, Yaoqin Xie, Ping Shi
    http://arxiv.org/abs/2012.14982v1

    • [cs.LG]Ensembles of Localised Models for Time Series Forecasting
    Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
    http://arxiv.org/abs/2012.15059v1

    • [cs.LG]Equipment Failure Analysis for Oil and Gas Industry with an Ensemble Predictive Model
    Chen ZhiYuan, Olugbenro. O. Selere, Nicholas Lu Chee Seng
    http://arxiv.org/abs/2012.15030v1

    • [cs.LG]Explainability in Graph Neural Networks: A Taxonomic Survey
    Hao Yuan, Haiyang Yu, Shurui Gui, Shuiwang Ji
    http://arxiv.org/abs/2012.15445v1

    • [cs.LG]Explanations of Machine Learning predictions: a mandatory step for its application to Operational Processes
    Giorgio Visani, Federico Chesani, Enrico Bagli, Davide Capuzzo, Alessandro Poluzzi
    http://arxiv.org/abs/2012.15103v1

    • [cs.LG]Exploiting Transitivity for Top-k Selection with Score-Based Dueling Bandits
    Matthew Groves, Juergen Branke
    http://arxiv.org/abs/2012.15637v1

    • [cs.LG]Fairness in Machine Learning
    Luca Oneto, Silvia Chiappa
    http://arxiv.org/abs/2012.15816v1

    • [cs.LG]Fast Incremental Expectation Maximization for finite-sum optimization: nonasymptotic convergence
    Gersende Fort, P. Gach, E. Moulines
    http://arxiv.org/abs/2012.14670v1

    • [cs.LG]FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
    Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong
    http://arxiv.org/abs/2012.15781v1

    • [cs.LG]Flexible model composition in machine learning and its implementation in MLJ
    Anthony D. Blaom, Sebastian J. Vollmer
    http://arxiv.org/abs/2012.15505v1

    • [cs.LG]Gated Ensemble of Spatio-temporal Mixture of Experts for Multi-task Learning in Ride-hailing System
    M. H. Rahman, S. M. Rifaat, S. N. Sadeek, M. Abrar, D. Wang
    http://arxiv.org/abs/2012.15408v1

    • [cs.LG]Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective
    Shen Chen, Mingwei Zhang, Jiamin Cui, Wei Yao
    http://arxiv.org/abs/2012.15391v1

    • [cs.LG]Good practices for Bayesian Optimization of high dimensional structured spaces
    Eero Siivola, Javier Gonzalez, Andrei Paleyes, Aki Vehtari
    http://arxiv.org/abs/2012.15471v1

    • [cs.LG]Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization
    Wei Tao, Wei Li, Zhisong Pan, Qing Tao
    http://arxiv.org/abs/2012.14558v1

    • [cs.LG]Growing Deep Forests Efficiently with Soft Routing and Learned Connectivity
    Jianghao Shen, Sicheng Wang, Zhangyang Wang
    http://arxiv.org/abs/2012.14878v1

    • [cs.LG]Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
    Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
    http://arxiv.org/abs/2012.14722v1

    • [cs.LG]I/O Lower Bounds for Auto-tuning of Convolutions in CNNs
    Xiaoyang Zhang, Junmin Xiao, Guangming Tan
    http://arxiv.org/abs/2012.15667v1

    • [cs.LG]Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
    Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
    http://arxiv.org/abs/2012.14755v1

    • [cs.LG]Improving Adversarial Robustness in Weight-quantized Neural Networks
    Chang Song, Elias Fallon, Hai Li
    http://arxiv.org/abs/2012.14965v1

    • [cs.LG]Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder
    Yadong Zhou, Zhihao Ding, Xiaoming Liu, Chao Shen, Lingling Tong, Xiaohong Guan
    http://arxiv.org/abs/2012.15005v1

    • [cs.LG]Is Pessimism Provably Efficient for Offline RL?
    Ying Jin, Zhuoran Yang, Zhaoran Wang
    http://arxiv.org/abs/2012.15085v1

    • [cs.LG]Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks
    Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
    http://arxiv.org/abs/2012.15037v1

    • [cs.LG]Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
    Tri Dao, Nimit S. Sohoni, Albert Gu, Matthew Eichhorn, Amit Blonder, Megan Leszczynski, Atri Rudra, Christopher Ré
    http://arxiv.org/abs/2012.14966v1

    • [cs.LG]LISPR: An Options Framework for Policy Reuse with Reinforcement Learning
    Daniel Graves, Jun Jin, Jun Luo
    http://arxiv.org/abs/2012.14942v1

    • [cs.LG]Language-Mediated, Object-Centric Representation Learning
    Ruocheng Wang, Jiayuan Mao, Samuel J. Gershman, Jiajun Wu
    http://arxiv.org/abs/2012.15814v1

    • [cs.LG]Learning Adversarial Markov Decision Processes with Delayed Feedback
    Tal Lancewicki, Aviv Rosenberg, Yishay Mansour
    http://arxiv.org/abs/2012.14843v1

    • [cs.LG]Likelihood Ratio Exponential Families
    Rob Brekelmans, Frank Nielsen, Alireza Makhzani, Aram Galstyan, Greg Ver Steeg
    http://arxiv.org/abs/2012.15480v1

    • [cs.LG]Meta Learning Backpropagation And Improving It
    Louis Kirsch, Jürgen Schmidhuber
    http://arxiv.org/abs/2012.14905v1

    • [cs.LG]Minimum Excess Risk in Bayesian Learning
    Aolin Xu, Maxim Raginsky
    http://arxiv.org/abs/2012.14868v1

    • [cs.LG]Model-Based Visual Planning with Self-Supervised Functional Distances
    Stephen Tian, Suraj Nair, Frederik Ebert, Sudeep Dasari, Benjamin Eysenbach, Chelsea Finn, Sergey Levine
    http://arxiv.org/abs/2012.15373v1

    • [cs.LG]PFL-MoE: Personalized Federated Learning Based on Mixture of Experts
    Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu, Ye Yin, Hongli Chang
    http://arxiv.org/abs/2012.15589v1

    • [cs.LG]Parzen Window Approximation on Riemannian Manifold
    Abhishek, Shekhar Verma
    http://arxiv.org/abs/2012.14661v1

    • [cs.LG]Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training
    Mario Geiger, Leonardo Petrini, Matthieu Wyart
    http://arxiv.org/abs/2012.15110v1

    • [cs.LG]Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients
    Chris Cundy, Stefano Ermon
    http://arxiv.org/abs/2012.15019v1

    • [cs.LG]Reinforcement Learning for Control of Valves
    Rajesh Siraskar
    http://arxiv.org/abs/2012.14668v1

    • [cs.LG]Robust Asymmetric Learning in POMDPs
    Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
    http://arxiv.org/abs/2012.15566v1

    • [cs.LG]Robust Data-Driven Error Compensation for a Battery Model
    Philipp Gesner, Frank Kirschbaum, Richard Jakobi, Bernard Bäker
    http://arxiv.org/abs/2012.15686v1

    • [cs.LG]SGD Distributional Dynamics of Three Layer Neural Networks
    Victor Luo, Yazhen Wang, Glenn Fung
    http://arxiv.org/abs/2012.15036v1

    • [cs.LG]Searching a Raw Video Database using Natural Language Queries
    Sriram Krishna, Siddarth Vinay, Srinivas K S
    http://arxiv.org/abs/2012.15565v1

    • [cs.LG]Source Identification for Mixtures of Product Distributions
    Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman
    http://arxiv.org/abs/2012.14540v1

    • [cs.LG]Sparse PCA via $l_{2,p}$-Norm Regularization for Unsupervised Feature Selection
    Zhengxin Li, Feiping Nie, Jintang Bian, Xuelong Li
    http://arxiv.org/abs/2012.14595v1

    • [cs.LG]Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity
    Amirhossein Reisizadeh, Isidoros Tziotis, Hamed Hassani, Aryan Mokhtari, Ramtin Pedarsani
    http://arxiv.org/abs/2012.14453v1

    • [cs.LG]Super-k: A Piecewise Linear Classifier Based on Voronoi Tessellations
    Rahman Salim Zengin, Volkan Sezer
    http://arxiv.org/abs/2012.15492v1

    • [cs.LG]TensorX: Extensible API for Neural Network Model Design and Deployment
    Davide Nunes, Luis Antunes
    http://arxiv.org/abs/2012.14539v1

    • [cs.LG]The Sample Complexity of Robust Covariance Testing
    Ilias Diakonikolas, Daniel M. Kane
    http://arxiv.org/abs/2012.15802v1

    • [cs.LG]Topological obstructions in neural networks learning
    Serguei Barannikov, Grigorii Sotnikov, Ilya Trofimov, Alexander Korotin, Evgeny Burnaev
    http://arxiv.org/abs/2012.15834v1

    • [cs.LG]Towards Fair Deep Anomaly Detection
    Hongjing Zhang, Ian Davidson
    http://arxiv.org/abs/2012.14961v1

    • [cs.LG]Twin Neural Network Regression
    Sebastian J. Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn
    http://arxiv.org/abs/2012.14873v1

    • [cs.LG]Unsupervised Real Time Prediction of Faults Using the Support Vector Machine
    Zhiyuan Chen, Isa Dino, Nik Ahmad Akram
    http://arxiv.org/abs/2012.15032v1

    • [cs.LG]Why do classifier accuracies show linear trends under distribution shift?
    Horia Mania, Suvrit Sra
    http://arxiv.org/abs/2012.15483v1

    • [cs.LG]With False Friends Like These, Who Can Have Self-Knowledge?
    Lue Tao, Songcan Chen
    http://arxiv.org/abs/2012.14738v1

    • [cs.LG]xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links
    Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
    http://arxiv.org/abs/2012.15537v1

    • [cs.MA]Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents
    Arnob Ghosh, Vaneet Aggarwal
    http://arxiv.org/abs/2012.15377v1

    • [cs.MA]Prosocial Norm Emergence in Multiagent Systems
    Mehdi Mashayekhi, Nirav Ajmeri, George F. List, Munindar P. Singh
    http://arxiv.org/abs/2012.14581v1

    • [cs.MM]Investigating Memorability of Dynamic Media
    Phuc H. Le-Khac, Ayush K. Rai, Graham Healy, Alan F. Smeaton, Noel E. O’Connor
    http://arxiv.org/abs/2012.15641v1

    • [cs.MM]Leveraging Audio Gestalt to Predict Media Memorability
    Lorin Sweeney, Graham Healy, Alan F. Smeaton
    http://arxiv.org/abs/2012.15635v1

    • [cs.MM]Overview of MediaEval 2020 Predicting Media Memorability Task: What Makes a Video Memorable?
    Alba García Seco De Herrera, Rukiye Savran Kiziltepe, Jon Chamberlain, Mihai Gabriel Constantin, Claire-Hélène Demarty, Faiyaz Doctor, Bogdan Ionescu, Alan F. Smeaton
    http://arxiv.org/abs/2012.15650v1

    • [cs.NI]Autonomous Maintenance in IoT Networks via AoI-driven Deep Reinforcement Learning
    George Stamatakis, Nikolaos Pappas, Alexandros Fragkiadakis, Apostolos Traganitis
    http://arxiv.org/abs/2012.15548v1

    • [cs.NI]From Semantic Communication to Semantic-aware Networking: Model, Architecture, and Open Problems
    Guangming Shi, Yong Xiao, Yingyu Li, Xuemei Xie
    http://arxiv.org/abs/2012.15405v1

    • [cs.NI]Relational Deep Reinforcement Learning for Routing in Wireless Networks
    Victoria Manfredi, Alicia Wolfe, Bing Wang, Xiaolan Zhang
    http://arxiv.org/abs/2012.15700v1

    • [cs.NI]Vehicular Network Slicing for Reliable Access and Deadline-Constrained Data Offloading: A Multi-Agent On-Device Learning Approach
    Md Ferdous Pervej, Shih-Chun Lin
    http://arxiv.org/abs/2012.15545v1

    • [cs.OS]Towards User Scheduling for 6G: A Fairness-Oriented Scheduler Using Multi-Agent Reinforcement Learning
    Mingqi Yuan, Qi Cao, Man-on Pun, Yi Chen
    http://arxiv.org/abs/2012.15081v1

    • [cs.PL]An Order-aware Dataflow Model for Extracting Shell Script Parallelism
    Shivam Handa, Konstantinos Kallas, Nikos Vasilakis, Martin Rinard
    http://arxiv.org/abs/2012.15422v1

    • [cs.PL]Automatic Synthesis of Parallel and Distributed Unix Commands with KumQuat
    Nikos Vasilakis, Jiasi Shen, Martin Rinard
    http://arxiv.org/abs/2012.15443v1

    • [cs.RO]A Versatile Keyframe-Based Structureless Filter for Visual Inertial Odometry
    Jianzhu Huai, Yukai Lin, Charles Toth, Yuan Zhuang, Dong Chen
    http://arxiv.org/abs/2012.15170v1

    • [cs.RO]ALVIO: Adaptive Line and Point Feature-based Visual Inertial Odometry for Robust Localization in Indoor Environments
    KwangYik Jung, YeEun Kim, HyunJun Lim, Hyun Myung
    http://arxiv.org/abs/2012.15008v1

    • [cs.RO]Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments
    Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox
    http://arxiv.org/abs/2012.14970v1

    • [cs.RO]An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning
    Yuchen Sun, Dongchun Ren, Shiqi Lian, Mingyu Fan, Xiangyi Teng
    http://arxiv.org/abs/2012.14617v1

    • [cs.RO]An LQR-assisted Control Algorithm for an Under-actuated In-pipe Robot in Water Distribution Systems
    Saber Kazeminasab, Roozbeh Jafari, M. Katherine Banks
    http://arxiv.org/abs/2012.14879v1

    • [cs.RO]Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving
    Zheng Wang, Muhua Guan, Jin Lan, Bo Yang, Tsutomu Kaizuka, Junichi Taki, Kimihiko Nakano
    http://arxiv.org/abs/2012.15164v1

    • [cs.RO]Autocalibration Subsystem for Cable-Driven Parallel Robots
    Jaâfar Moussaid
    http://arxiv.org/abs/2012.15586v1

    • [cs.RO]Design, Characterization, and Control of a Size Adaptable In-pipe Robot for Water Distribution Systems
    Saber Kazeminasab, Ali Akbari, Roozbeh Jafari, M. Katherine Banks
    http://arxiv.org/abs/2012.15236v1

    • [cs.RO]Disentangled Planning and Control in Vision Based Robotics via Reward Machines
    Alberto Camacho, Jacob Varley, Deepali Jain, Atil Iscen, Dmitry Kalashnikov
    http://arxiv.org/abs/2012.14464v1

    • [cs.RO]Dynamical Systems based Obstacle Avoidance with Workspace Constraint for Manipulators
    Dake Zheng, Xinyu Wu, Jianxin Pang
    http://arxiv.org/abs/2012.14576v1

    • [cs.RO]LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time
    M. Palieri, B. Morrell, A Thakur, K. Ebadi, J. Nash, A. Chatterjee, C. Kanellakis, L. Carlone, C. Guaragnella, A. Agha-mohammadi
    http://arxiv.org/abs/2012.14447v1

    • [cs.RO]Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization
    Yoav Alon, Huiyu Zhou
    http://arxiv.org/abs/2012.15472v1

    • [cs.RO]Multiple Plans are Better than One: Diverse Stochastic Planning
    Mahsa Ghasemi, Evan Scope Crafts, Bo Zhao, Ufuk Topcu
    http://arxiv.org/abs/2012.15485v1

    • [cs.RO]Peacock Exploration: A Lightweight Exploration for UAV using Control-Efficient Trajectory
    EungChang Mason Lee, Duckyu Choi, Hyun Myung
    http://arxiv.org/abs/2012.14649v1

    • [cs.RO]Perimeter-defense Game between Aerial Defender and Ground Intruder
    Elijah S. Lee, Daigo Shishika, Vijay Kumar
    http://arxiv.org/abs/2012.14980v1

    • [cs.RO]Real-time Whole-body Obstacle Avoidance for 7-DOF Redundant Manipulators
    Dake Zheng, Xinyu Wu, Jianxin Pang
    http://arxiv.org/abs/2012.14578v1

    • [cs.RO]Robotic Grasping of Fully-Occluded Objects using RF Perception
    Tara Boroushaki, Junshan Leng, Ian Clester, Alberto Rodriguez, Fadel Adib
    http://arxiv.org/abs/2012.15436v1

    • [cs.RO]Simulation and Control of Deformable Autonomous Airships in Turbulent Wind
    Eric Price, Yu Tang Liu, Michael J. Black, Aamir Ahmad
    http://arxiv.org/abs/2012.15684v1

    • [cs.SD]Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks
    Björn W. Schuller, Harry Coppock, Alexander Gaskell
    http://arxiv.org/abs/2012.14553v1

    • [cs.SD]EfficientNet-Absolute Zero for Continuous Speech Keyword Spotting
    Amir Mohammad Rostami, Ali Karimi, Mohammad Ali Akhaee
    http://arxiv.org/abs/2012.15695v1

    • [cs.SD]Multi-view Temporal Alignment for Non-parallel Articulatory-to-Acoustic Speech Synthesis
    Jose A. Gonzalez-Lopez, Miriam Gonzalez-Atienza, Alejandro Gomez-Alanis, Jose L. Perez-Cordoba, Phil D. Green
    http://arxiv.org/abs/2012.15184v1

    • [cs.SD]Unified Mandarin TTS Front-end Based on Distilled BERT Model
    Yang Zhang, Liqun Deng, Yasheng Wang
    http://arxiv.org/abs/2012.15404v1

    • [cs.SI]Incentivizing Routing Choices for Safe and Efficient Transportation in the Face of the COVID-19 Pandemic
    Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Woodrow Z. Wang, Dorsa Sadigh, Ramtin Pedarsani
    http://arxiv.org/abs/2012.15749v1

    • [cs.SI]Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach
    Dan Lin, Jiajing Wu, Qi Yuan, Zibin Zheng
    http://arxiv.org/abs/2012.15462v1

    • [cs.SI]On the Impact of Random Actions on Opinion Dynamics
    Olle Abrahamsson, Danyo Danev, Erik G. Larsson
    http://arxiv.org/abs/2012.15154v1

    • [econ.EM]Assessing Sensitivity to Unconfoundedness: Estimation and Inference
    Matthew A. Masten, Alexandre Poirier, Linqi Zhang
    http://arxiv.org/abs/2012.15716v1

    • [econ.EM]Assessing the Sensitivity of Synthetic Control Treatment Effect Estimates to Misspecification Error
    Billy Ferguson, Brad Ross
    http://arxiv.org/abs/2012.15367v1

    • [econ.EM]Bayesian analysis of seasonally cointegrated VAR model
    Justyna Wróblewska
    http://arxiv.org/abs/2012.14820v1

    • [econ.EM]Bias-Aware Inference in Regularized Regression Models
    Timothy B. Armstrong, Michal Kolesár, Soonwoo Kwon
    http://arxiv.org/abs/2012.14823v1

    • [eess.IV]A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System
    Wei Xiang Lim, Zhiyuan Chen, Amr Ahmed, Tissa Chandesa, Iman Liao
    http://arxiv.org/abs/2012.15025v1

    • [eess.IV]Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning
    Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang
    http://arxiv.org/abs/2012.14584v1

    • [eess.IV]Automatic Polyp Segmentation using U-Net-ResNet50
    Saruar Alam, Nikhil Kumar Tomar, Aarati Thakur, Debesh Jha, Ashish Rauniyar
    http://arxiv.org/abs/2012.15247v1

    • [eess.IV]Cascaded Framework for Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI
    Jun Ma
    http://arxiv.org/abs/2012.14556v1

    • [eess.IV]Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos
    Zhi-Qin Zhan, Huazhu Fu, Yan-Yao Yang, Jingjing Chen, Jie Liu, Yu-Gang Jiang
    http://arxiv.org/abs/2012.15531v1

    • [eess.IV]Comparison of different CNNs for breast tumor classification from ultrasound images
    Jorge F. Lazo, Sara Moccia, Emanuele Frontoni, Elena De Momi
    http://arxiv.org/abs/2012.14517v1

    • [eess.IV]DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
    Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen
    http://arxiv.org/abs/2012.15245v1

    • [eess.IV]Ensembled ResUnet for Anatomical Brain Barriers Segmentation
    Munan Ning, Cheng Bian, Chenglang Yuan, Yefeng Zheng
    http://arxiv.org/abs/2012.14567v1

    • [eess.IV]Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study
    Matthew Ng, Fumin Guo, Labonny Biswas, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Graham Wright
    http://arxiv.org/abs/2012.15772v1

    • [eess.IV]Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation
    Yichi Zhang, Qingcheng Liao, Lin Yuan, He Zhu, Jiezhen Xing, Jicong Zhang
    http://arxiv.org/abs/2012.15564v1

    • [eess.IV]Exploring Large Context for Cerebral Aneurysm Segmentation
    Jun Ma, Ziwei Nie
    http://arxiv.org/abs/2012.15136v1

    • [eess.IV]FREA-Unet: Frequency-aware U-net for Modality Transfer
    Hajar Emami, Qiong Liu, Ming Dong
    http://arxiv.org/abs/2012.15397v1

    • [eess.IV]Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging
    Wei He, Naoto Yokoya, Xin Yuan
    http://arxiv.org/abs/2012.15104v1

    • [eess.IV]H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task
    Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia
    http://arxiv.org/abs/2012.15318v1

    • [eess.IV]MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
    Laura Mora Ballestar, Veronica Vilaplana
    http://arxiv.org/abs/2012.15294v1

    • [eess.IV]Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation
    Debesh Jha, Steven A. Hicks, Krister Emanuelsen, Håvard Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen
    http://arxiv.org/abs/2012.15244v1

    • [eess.IV]Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis
    Yutian Chen, Xiaowei Xu, Dewen Zeng, Yiyu Shi, Haiyun Yuan, Jian Zhuang, Yuhao Dong, Qianjun Jia, Meiping Huang
    http://arxiv.org/abs/2012.14564v1

    • [eess.IV]New Bag of Deep Visual Words based features to classify chest x-ray images for COVID-19 diagnosis
    Chiranjibi Sitaula, Sunil Aryal
    http://arxiv.org/abs/2012.15413v1

    • [eess.IV]SASSI — Super-Pixelated Adaptive Spatio-Spectral Imaging
    Vishwanath Saragadam, Michael DeZeeuw, Richard Baraniuk, Ashok Veeraraghavan, Aswin Sankaranarayanan
    http://arxiv.org/abs/2012.14495v1

    • [eess.IV]Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer
    Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He
    http://arxiv.org/abs/2012.14785v1

    • [eess.IV]Survey of the Detection and Classification of Pulmonary Lesions via CT and X-Ray
    Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang
    http://arxiv.org/abs/2012.15442v1

    • [eess.IV]Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
    Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, Sam Kwong
    http://arxiv.org/abs/2012.15052v1

    • [eess.SP]Adaptive filters for the moving target indicator system
    Boris N. Oreshkin
    http://arxiv.org/abs/2012.15440v1

    • [eess.SP]Bayesian Federated Learning over Wireless Networks
    Seunghoon Lee, Chanho Park, Song-Nam Hong, Yonina C. Eldar, Namyoon Lee
    http://arxiv.org/abs/2012.15486v1

    • [eess.SP]Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks
    Debamita Ghosh, Manjesh K. Hanawal, Nikola Zlatanov
    http://arxiv.org/abs/2012.15203v1

    • [eess.SP]Leveraging AI and Intelligent Reflecting Surface for Energy-Efficient Communication in 6G IoT
    Qianqian Pan, Jun Wu, Xi Zheng, Jianhua Li, Shenghong Li, Athanasios V. Vasilakos
    http://arxiv.org/abs/2012.14716v1

    • [eess.SP]Wi-Chlorian: Wireless sensing and localization of contact forces on a space continuum
    Agrim Gupta, Cedric Girerd, Manideep Dunna, Qiming Zhang, Raghav Subarraman, Tania Morimoto, Dinesh Bharadia
    http://arxiv.org/abs/2012.15412v1

    • [eess.SY]Control Barriers in Bayesian Learning of System Dynamics
    Vikas Dhiman, Mohammad Javad Khojasteh, Massimo Franceschetti, Nikolay Atanasov
    http://arxiv.org/abs/2012.14964v1

    • [eess.SY]Universal Adaptive Control for Uncertain Nonlinear Systems
    Brett T. Lopez, Jean-Jacques E. Slotine
    http://arxiv.org/abs/2012.15815v1

    • [hep-th]Comments on the holographic description of Narain theories
    Anatoly Dymarsky, Alfred Shapere
    http://arxiv.org/abs/2012.15830v1

    • [hep-th]Neural Network Approximations for Calabi-Yau Metrics
    Vishnu Jejjala, Damian Kaloni Mayorga Pena, Challenger Mishra
    http://arxiv.org/abs/2012.15821v1

    • [math.MG]Closed-Form Minkowski Sums of Convex Bodies with Smooth Positively Curved Boundaries
    Sipu Ruan, Gregory S. Chirikjian
    http://arxiv.org/abs/2012.15461v1

    • [math.NT]Linearized trinomials with maximum kernel
    Paolo Santonastaso, Ferdinando Zullo
    http://arxiv.org/abs/2012.14861v1

    • [math.OC]Constrained and Composite Optimization via Adaptive Sampling Methods
    Yuchen Xie, Raghu Bollapragada, Richard Byrd, Jorge Nocedal
    http://arxiv.org/abs/2012.15411v1

    • [math.OC]Differentiable Programming à la Moreau
    Vincent Roulet, Zaid Harchaoui
    http://arxiv.org/abs/2012.15458v1

    • [math.OC]PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction
    Haishan Ye, Wei Xiong, Tong Zhang
    http://arxiv.org/abs/2012.15010v1

    • [math.OC]Present-Biased Optimization
    Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach
    http://arxiv.org/abs/2012.14736v1

    • [math.OC]Risk Guarantees for End-to-End Prediction and Optimization Processes
    Nam Ho-Nguyen, Fatma Kılınç-Karzan
    http://arxiv.org/abs/2012.15046v1

    • [math.OC]Supermodularity and valid inequalities for quadratic optimization with indicators
    Alper Atamturk, Andres Gomez
    http://arxiv.org/abs/2012.14633v1

    • [math.OC]The Adaptive Dynamic Programming Toolbox
    Xiaowei Xing, Dong Eui Chang
    http://arxiv.org/abs/2012.14654v1

    • [math.ST]Adjusted chi-square test for degree-corrected block models
    Linfan Zhang, Arash A. Amini
    http://arxiv.org/abs/2012.15047v1

    • [math.ST]Asymptotics of sums of regression residuals under multiple ordering of regressors
    Mikhail Chebunin, Artyom Kovalevskii
    http://arxiv.org/abs/2012.15526v1

    • [math.ST]Inference for Low-rank Tensors — No Need to Debias
    Dong Xia, Anru R. Zhang, Yuchen Zhou
    http://arxiv.org/abs/2012.14844v1

    • [math.ST]Multivariate Smoothing via the Fourier Integral Theorem and Fourier Kernel
    Nhat Ho, Stephen G. Walker
    http://arxiv.org/abs/2012.14482v1

    • [math.ST]On Gaussian Approximation for M-Estimator
    Masaaki Imaizumi, Taisuke Otsu
    http://arxiv.org/abs/2012.15678v1

    • [math.ST]On the T-test
    S. Y. Novak
    http://arxiv.org/abs/2012.14530v1

    • [math.ST]Semi-Parametric Estimation of Incubation and Generation Times by Means of Laguerre Polynomials
    Alexander Kreiss, Ingrid Van Keilegom
    http://arxiv.org/abs/2012.15611v1

    • [physics.ao-ph]Synergy between Observation Systems Oceanic in Turbulent Regions
    Van-Khoa Nguyen, Santiago Agudelo
    http://arxiv.org/abs/2012.14516v1

    • [physics.soc-ph]More crime in cities? On the scaling laws of crime and the inadequacy of per capita rankings — a cross-country study
    Marcos Oliveira
    http://arxiv.org/abs/2012.15368v1

    • [physics.soc-ph]Optimising SARS-CoV-2 pooled testing strategies on social networks for low-resource settings
    Karina I Mazzitello, Yi Jiang, Constancio M Arizmendi
    http://arxiv.org/abs/2012.15702v1

    • [physics.soc-ph]Resolution limit revisited: community detection using generalized modularity density
    Jiahao Guo, Pramesh Singh, Kevin E. Bassler
    http://arxiv.org/abs/2012.14543v1

    • [physics.soc-ph]Universal Urban Spreading Pattern of COVID-19 and Its Underlying Mechanism
    Yongtao Zhang, Hongshen Zhang, Mincheng Wu, Shibo He, Yi Fang, Yanggang Cheng, Zhiguo Shi, Cunqi Shao, Chao Li, Songmin Ying, Zhenyu Gong, Yu Liu, Xinjiang Ye, Jinlai Chen, Youxian Sun, Jiming Chen, H. Eugene Stanley
    http://arxiv.org/abs/2012.15161v1

    • [q-bio.NC]Correlation Across Environments Encoded by Hippocampal Place Cells
    Bhav Jain, Sean Elliott
    http://arxiv.org/abs/2012.14559v1

    • [q-fin.RM]Sequential Deep Learning for Credit Risk Monitoring with Tabular Financial Data
    Jillian M. Clements, Di Xu, Nooshin Yousefi, Dmitry Efimov
    http://arxiv.org/abs/2012.15330v1

    • [quant-ph]$\mathcal{PT}$-Symmetric Unambiguous Distinguishing of Three Quantum States
    Yaroslav Balytskyi, Manohar Raavi, Anatoliy Pinchuk, Sang-Yoon Chang
    http://arxiv.org/abs/2012.14897v1

    • [quant-ph]Curriculum-based Deep Reinforcement Learning for Quantum Control
    Hailan Ma, Daoyi Dong, Steven X. Ding, Chunlin Chen
    http://arxiv.org/abs/2012.15427v1

    • [quant-ph]Denoising quantum states with Quantum Autoencoders — Theory and Applications
    Tom Achache, Lior Horesh, John Smolin
    http://arxiv.org/abs/2012.14714v1

    • [stat.AP]An analysis to identify the structural breaks of COVID-19 in Turkey
    Yeşim Güney, Yetkin Tuaç, Şenay Özdemir, Fulya Gökalp Yavuz, Olcay Arslan
    http://arxiv.org/abs/2012.15302v1

    • [stat.AP]Closed test procedures for the comparison of dose groups against a negative control group or placebo
    Ludwig A. Hothorn
    http://arxiv.org/abs/2012.15093v1

    • [stat.AP]Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression
    Luke S. Benz, Michael J. Lopez
    http://arxiv.org/abs/2012.14949v1

    • [stat.AP]New statistical control limits using maximum copula entropy
    S. A. F. Mortezanejad, G. M. Borzadaran, B. S. Gildeh
    http://arxiv.org/abs/2012.14759v1

    • [stat.AP]Spatial Resolution Enhancement of Oversampled Images Using Regression Decomposition and Synthesis
    Hsien-Wei Chen
    http://arxiv.org/abs/2012.14817v1

    • [stat.AP]Spatio-temporal methods for estimating subsurface ocean thermal response to tropical cyclones
    Addison J. Hu, Mikael Kuusela, Ann B. Lee, Donata Giglio, Kimberly M. Wood
    http://arxiv.org/abs/2012.15130v1

    • [stat.CO]A general perspective on the Metropolis-Hastings kernel
    Christophe Andrieu, Anthony Lee, Sam Livingstone
    http://arxiv.org/abs/2012.14881v1

    • [stat.CO]Nonreversible MCMC from conditional invertible transforms: a complete recipe with convergence guarantees
    Achille Thin, Nikita Kotolevskii, Christophe Andrieu, Alain Durmus, Eric Moulines, Maxim Panov
    http://arxiv.org/abs/2012.15550v1

    • [stat.CO]Scalable Multivariate Histograms
    Raazesh Sainudiin, Warwick Tucker, Tilo Wiklund
    http://arxiv.org/abs/2012.14847v1

    • [stat.ME]A Survey of Parameter and State Estimation in Queues
    Azam Asanjarani, Yoni Nazarathy, Peter Taylor
    http://arxiv.org/abs/2012.14614v1

    • [stat.ME]Adaptive Estimation for Non-stationary Factor Models And A Test for Static Factor Loadings
    Weichi Wu, Zhou Zhou
    http://arxiv.org/abs/2012.14708v1

    • [stat.ME]An automatic procedure to determine groups of nonparametric regression curves
    Nora M. Villanueva, Marta Sestelo, Celestino Ordóñez, Javier Roca-Pardiñas
    http://arxiv.org/abs/2012.15278v1

    • [stat.ME]Bayesian state space modelling for COVID-19: with Tennessee and New York case studies
    Adam Spannaus, Theodore Papamarkou, Samantha Erwin, J. Blair Christian
    http://arxiv.org/abs/2012.15306v1

    • [stat.ME]Inference post Selection of Group-sparse Regression Models
    Snigdha Panigrahi, Peter W. MacDonald, Daniel Kessler
    http://arxiv.org/abs/2012.15664v1

    • [stat.ME]Kernel Partial Correlation Coefficient — a Measure of Conditional Dependence
    Zhen Huang, Nabarun Deb, Bodhisattva Sen
    http://arxiv.org/abs/2012.14804v1

    • [stat.ME]Learning Sparsity and Block Diagonal Structure in Multi-View Mixture Models
    Iain Carmichael
    http://arxiv.org/abs/2012.15313v1

    • [stat.ME]Sample Size Re-estimation Design in Phase II Dose Finding Study with Multiple Dose Groups: Frequentist and Bayesian Methods
    Qingyang Liu, Guanyu Hu, Binqi Ye, Susan Wang, Yaoshi, Wu
    http://arxiv.org/abs/2012.14589v1

    • [stat.ML]An extension of the angular synchronization problem to the heterogeneous setting
    Mihai Cucuringu, Hemant Tyagi
    http://arxiv.org/abs/2012.14932v1

    • [stat.ML]Behavior of linear L2-boosting algorithms in the vanishing learning rate asymptotic
    Clément Dombry, Youssef Esstafa
    http://arxiv.org/abs/2012.14657v1

    • [stat.ML]Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
    Wei Vivian Li, Xin Tong, Jingyi Jessica Li
    http://arxiv.org/abs/2012.14951v1

    • [stat.ML]Fast Global Convergence for Low-rank Matrix Recovery via Riemannian Gradient Descent with Random Initialization
    Thomas Y. Hou, Zhenzhen Li, Ziyun Zhang
    http://arxiv.org/abs/2012.15467v1

    • [stat.ML]Fast covariance parameter estimation of spatial Gaussian process models using neural networks
    Florian Gerber, Douglas W. Nychka
    http://arxiv.org/abs/2012.15339v1

    • [stat.ML]Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
    Jianwen Xie, Zilong Zheng, Ping Li
    http://arxiv.org/abs/2012.14936v1

    • [stat.ML]Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
    Mikhail Genkin, Owen Hughes, Tatiana A. Engel
    http://arxiv.org/abs/2012.14944v1

    • [stat.ML]Optimal trees selection for classification via out-of-bag assessment and sub-bagging
    Zardad Khan, Naz Gul, Nosheen Faiz, Asma Gul, Werner Adler, Berthold Lausen
    http://arxiv.org/abs/2012.15301v1

    • [stat.ML]Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis
    Atsushi Nitanda, Denny Wu, Taiji Suzuki
    http://arxiv.org/abs/2012.15477v1

    • [stat.ML]Provably Training Neural Network Classifiers under Fairness Constraints
    You-Lin Chen, Zhaoran Wang, Mladen Kolar
    http://arxiv.org/abs/2012.15274v1

    • [stat.ML]Random Planted Forest: a directly interpretable tree ensemble
    Munir Hiabu, Enno Mammen, Joseph T. Meyer
    http://arxiv.org/abs/2012.14563v1

    • [stat.ML]Statistical Formulas for F Measures
    Wenxin Jiang
    http://arxiv.org/abs/2012.14894v1