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