归档 - 今日学术视野(2021.6.4) - 《爱可可老师分享》

astro-ph.EP - 地球与行星天体
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.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.RO - 机器人学
cs.SD - 声音处理
cs.SI - 社交网络与信息网络
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
math.AT - 代数拓扑
math.MG -公制几何
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.chem-ph -化学物理
physics.geo-ph - 地球物理学
physics.med-ph - 医学物理学
q-bio.NC - 神经元与认知
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习

• [astro-ph.EP]Quantifying the Similarity of Planetary System Architectures
• [cs.AI]A Span Extraction Approach for Information Extraction on Visually-Rich Documents
• [cs.AI]Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
• [cs.AI]Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing
• [cs.AI]End-to-End Hierarchical Relation Extraction for Generic Form Understanding
• [cs.AI]Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning
• [cs.AI]Low-cost Stereovision system (disparity map) for few dollars
• [cs.AI]On Efficiently Explaining Graph-Based Classifiers
• [cs.AI]Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving
• [cs.AI]Smooth Q-learning: Accelerate Convergence of Q-learning Using Similarity
• [cs.AI]Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
• [cs.CL]A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space
• [cs.CL]A Multi-Level Attention Model for Evidence-Based Fact Checking
• [cs.CL]A Unified Generative Framework for Various NER Subtasks
• [cs.CL]An In-depth Study on Internal Structure of Chinese Words
• [cs.CL]Answer Generation for Retrieval-based Question Answering Systems
• [cs.CL]COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
• [cs.CL]Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?
• [cs.CL]Claim Matching Beyond English to Scale Global Fact-Checking
• [cs.CL]CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
• [cs.CL]Comparing Test Sets with Item Response Theory
• [cs.CL]Conversational Question Answering: A Survey
• [cs.CL]ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
• [cs.CL]Cross-document Coreference Resolution over Predicted Mentions
• [cs.CL]DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation
• [cs.CL]Database Reasoning Over Text
• [cs.CL]Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions
• [cs.CL]DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
• [cs.CL]Differential Privacy for Text Analytics via Natural Text Sanitization
• [cs.CL]Discrete Cosine Transform as Universal Sentence Encoder
• [cs.CL]DynaEval: Unifying Turn and Dialogue Level Evaluation
• [cs.CL]Efficient Passage Retrieval with Hashing for Open-domain Question Answering
• [cs.CL]End-to-End NLP Knowledge Graph Construction
• [cs.CL]Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
• [cs.CL]Evaluating Word Embeddings with Categorical Modularity
• [cs.CL]Evidence-based Factual Error Correction
• [cs.CL]Examining the Inductive Bias of Neural Language Models with Artificial Languages
• [cs.CL]Exploiting Global Contextual Information for Document-level Named Entity Recognition
• [cs.CL]Exploring Discourse Structures for Argument Impact Classification
• [cs.CL]Few-Shot Partial-Label Learning
• [cs.CL]Figurative Language in Recognizing Textual Entailment
• [cs.CL]Generating Informative Conclusions for Argumentative Texts
• [cs.CL]Global-Selector: A New Benchmark Dataset and Model Architecture for Multi-turn Response Selection
• [cs.CL]Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
• [cs.CL]High-Quality Diversification for Task-Oriented Dialogue Systems
• [cs.CL]Higher-order Derivatives of Weighted Finite-state Machines
• [cs.CL]Implicit Representations of Meaning in Neural Language Models
• [cs.CL]Improving low-resource ASR performance with untranscribed out-of-domain data
• [cs.CL]IrEne: Interpretable Energy Prediction for Transformers
• [cs.CL]Is Sparse Attention more Interpretable?
• [cs.CL]John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs
• [cs.CL]LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
• [cs.CL]Lower Perplexity is Not Always Human-Like
• [cs.CL]Metaphor Generation with Conceptual Mappings
• [cs.CL]Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
• [cs.CL]More Identifiable yet Equally Performant Transformers for Text Classification
• [cs.CL]Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access
• [cs.CL]On Finding the $今日学术视野(2021.6.4) - 图1$ -best Non-projective Dependency Trees
• [cs.CL]On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers
• [cs.CL]On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
• [cs.CL]One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers
• [cs.CL]OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres
• [cs.CL]Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations
• [cs.CL]Part of Speech and Universal Dependency effects on English Arabic Machine Translation
• [cs.CL]Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
• [cs.CL]Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
• [cs.CL]Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance
• [cs.CL]RevCore: Review-augmented Conversational Recommendation
• [cs.CL]Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
• [cs.CL]Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
• [cs.CL]SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues
• [cs.CL]Solving Arithmetic Word Problems with Transformers and Preprocessing of Problem Text
• [cs.CL]SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
• [cs.CL]T-BERT — Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT
• [cs.CL]Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
• [cs.CL]Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
• [cs.CL]Towards Emotional Support Dialog Systems
• [cs.CL]Towards Robustness of Text-to-SQL Models against Synonym Substitution
• [cs.CL]Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning
• [cs.CL]Unsupervised Out-of-Domain Detection via Pre-trained Transformers
• [cs.CL]Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices
• [cs.CL]What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
• [cs.CL]When and Why does a Model Fail? A Human-in-the-loop Error Detection Framework for Sentiment Analysis
• [cs.CL]Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text
• [cs.CL]Why Machine Reading Comprehension Models Learn Shortcuts?
• [cs.CL]belabBERT: a Dutch RoBERTa-based language model applied to psychiatric classification
• [cs.CL]multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
• [cs.CR]Transaction Fee Mechanism Design
• [cs.CV]A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications
• [cs.CV]Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
• [cs.CV]Cleaning and Structuring the Label Space of the iMet Collection 2020
• [cs.CV]Consumer Image Quality Prediction using Recurrent Neural Networks for Spatial Pooling
• [cs.CV]DFGC 2021: A DeepFake Game Competition
• [cs.CV]Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection
• [cs.CV]End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net
• [cs.CV]Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
• [cs.CV]ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
• [cs.CV]Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
• [cs.CV]Online and Real-Time Tracking in a Surveillance Scenario
• [cs.CV]Refining the bounding volumes for lossless compression of voxelized point clouds geometry
• [cs.CV]Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation
• [cs.CV]Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery
• [cs.CV]Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
• [cs.CV]TSI: Temporal Saliency Integration for Video Action Recognition
• [cs.CV]The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop
• [cs.CV]Towards Robust Classification Model by Counterfactual and Invariant Data Generation
• [cs.CV]Towards Unified Surgical Skill Assessment
• [cs.CV]TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication
• [cs.CV]Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction
• [cs.CV]nnDetection: A Self-configuring Method for Medical Object Detection
• [cs.DC]Chunk Content is not Enough: Chunk-Context Aware Resemblance Detection for Deduplication Delta Compression
• [cs.DC]Efficient Deterministic Leader Election for Programmable Matter
• [cs.DC]Introducing “Neuromorphic Computing and Engineering”
• [cs.DC]Multi-Objectivizing Software Configuration Tuning (for a single performance concern)
• [cs.DL]A weighted unified informetrics based on Scopus and WoS
• [cs.DL]Your Tribe Decides Your Vibe: Analyzing Local Popularity in the US Patent Citation Network
• [cs.DS]The Generalized Mean Densest Subgraph Problem
• [cs.DS]Ultra-Sparse Near-Additive Emulators
• [cs.IR]PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
• [cs.IT]Asymptotic Characterisation of Regularised Zero-Forcing Receiver for Imperfect and Correlated Massive MIMO Systems with Optimal Power Allocation
• [cs.IT]Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints
• [cs.IT]Cooperative Encoding and Decoding of Mixed Delay Traffic under Random-User Activity
• [cs.IT]Intermittent Private Information Retrieval with Application to Location Privacy
• [cs.IT]Necessary and Sufficient Girth Conditions for LDPC Tanner Graphs with Denser Protographs
• [cs.IT]On Classification of MIMO Equalizers
• [cs.IT]SWIPT with Intelligent Reflecting Surfaces under Spatial Correlation
• [cs.LG]A Generalizable Approach to Learning Optimizers
• [cs.LG]A Privacy-Preserving and Trustable Multi-agent Learning Framework
• [cs.LG]Addressing the Long-term Impact of ML Decisions via Policy Regret
• [cs.LG]An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task
• [cs.LG]An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning
• [cs.LG]Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
• [cs.LG]Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
• [cs.LG]Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions
• [cs.LG]Collaborative Nonstationary Multivariate Gaussian Process Model
• [cs.LG]Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation
• [cs.LG]Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms
• [cs.LG]Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests
• [cs.LG]Decision Transformer: Reinforcement Learning via Sequence Modeling
• [cs.LG]Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling
• [cs.LG]Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
• [cs.LG]Deep learning-based multi-output quantile forecasting of PV generation
• [cs.LG]Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
• [cs.LG]Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels
• [cs.LG]Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
• [cs.LG]Evidential Turing Processes
• [cs.LG]Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
• [cs.LG]Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations
• [cs.LG]FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
• [cs.LG]Hybrid Ensemble optimized algorithm based on Genetic Programming for imbalanced data classification
• [cs.LG]Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks
• [cs.LG]Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment
• [cs.LG]Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
• [cs.LG]Improvement over Pinball Loss Support Vector Machine
• [cs.LG]Improving Compositionality of Neural Networks by Decoding Representations to Inputs
• [cs.LG]Information Theoretic Measures for Fairness-aware Feature Selection
• [cs.LG]Invariant Policy Learning: A Causal Perspective
• [cs.LG]JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data
• [cs.LG]KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients
• [cs.LG]Large-Scale Wasserstein Gradient Flows
• [cs.LG]Learn to Predict Equilibria via Fixed Point Networks
• [cs.LG]Learning a Single Neuron with Bias Using Gradient Descent
• [cs.LG]Learning to Rehearse in Long Sequence Memorization
• [cs.LG]Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
• [cs.LG]Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
• [cs.LG]Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
• [cs.LG]MNL-Bandit with Knapsacks
• [cs.LG]Multiresolution Graph Variational Autoencoder
• [cs.LG]On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
• [cs.LG]Online Coreset Selection for Rehearsal-based Continual Learning
• [cs.LG]Partial Wasserstein Covering
• [cs.LG]Post-mortem on a deep learning contest: a Simpson’s paradox and the complementary roles of scale metrics versus shape metrics
• [cs.LG]Pricing Algorithmic Insurance
• [cs.LG]Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models
• [cs.LG]QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning
• [cs.LG]SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
• [cs.LG]Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals
• [cs.LG]Some Ethical Issues in the Review Process of Machine Learning Conferences
• [cs.LG]Statistical optimality conditions for compressive ensembles
• [cs.LG]Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels
• [cs.LG]Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
• [cs.LG]Towards Deeper Deep Reinforcement Learning
• [cs.LG]Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals
• [cs.LG]Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
• [cs.LG]Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
• [cs.LG]Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection
• [cs.MA]Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning
• [cs.NE]A Differentiable Point Process with Its Application to Spiking Neural Networks
• [cs.NE]Automating Speedrun Routing: Overview and Vision
• [cs.NE]Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence
• [cs.NE]Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
• [cs.NE]Multi-stage, multi-swarm PSO for joint optimization of well placement and control
• [cs.NE]Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks
• [cs.RO]A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-picking
• [cs.RO]A robust controller for stable 3D pinching using tactile sensing
• [cs.RO]Evaluating Recipes Generated from Functional Object-Oriented Network
• [cs.RO]Grasp stability prediction with time series data based on STFT and LSTM
• [cs.RO]Lattices of sensors reconsidered when less information is preferred
• [cs.RO]Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control
• [cs.RO]NeRP: Neural Rearrangement Planning for Unknown Objects
• [cs.RO]OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots
• [cs.RO]Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units
• [cs.SD]Exploring modality-agnostic representations for music classification
• [cs.SD]NVC-Net: End-to-End Adversarial Voice Conversion
• [cs.SI]A/B Testing for Recommender Systems in a Two-sided Marketplace
• [cs.SI]Debate on Online Social Networks at the Time of COVID-19: An Italian Case Study
• [eess.IV]Deep Clustering Activation Maps for Emphysema Subtyping
• [eess.IV]Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos
• [eess.IV]Fourier Space Losses for Efficient Perceptual Image Super-Resolution
• [eess.IV]Is good old GRAPPA dead?
• [eess.IV]Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy
• [eess.IV]Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging
• [eess.IV]Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
• [eess.SP]Intelligent Surface Optimization in Terahertz under Two Manifestations of Molecular Re-radiation
• [eess.SP]Opening the Black Box of Deep Neural Networks in Physical Layer Communication
• [eess.SY]Concurrent Learning Based Tracking Control of Nonlinear Systems using Gaussian Process
• [eess.SY]Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach
• [eess.SY]Design and Comparison of Reward Functions in Reinforcement Learning for Energy Management of Sensor Nodes
• [math.AT]Digital homotopy relations and digital homology theories
• [math.MG]A Theory for Locus Ellipticity of Poncelet 3-Periodics
• [math.NA]Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime
• [math.OC]On-Line Policy Iteration for Infinite Horizon Dynamic Programming
• [math.ST]Semiparametric tail-index estimation for randomly right-truncated heavy-tailed data
• [physics.chem-ph]An Extendible, Graph-Neural-Network-Based Approach for Accurate Force Field Development of Large Flexible Organic Molecules
• [physics.chem-ph]Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
• [physics.geo-ph]Modeling Buried Object Brightness and Visibility for Ground Penetrating Radar
• [physics.med-ph]A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI
• [q-bio.NC]Statistical Mechanics of Neural Processing of Object Manifolds
• [quant-ph]Connectivity constrains quantum codes
• [stat.AP]Band Depth based initialization of $今日学术视野(2021.6.4) - 图2$ -Means for functional data clustering
• [stat.AP]Interpolation and linear prediction of data — three kernel selection criteria
• [stat.AP]Optimal relativities in a modified Bonus-Malus system with long memory transition rules and frequency-severity dependence
• [stat.AP]Quantifying out-of-station waiting time in oversaturated urban metro systems
• [stat.AP]semopy 2: A Structural Equation Modeling Package with Random Effects in Python
• [stat.ME]Combining case-control studies for identifiability and efficiency improvement in logistic regression
• [stat.ME]Feature Extraction for Functional Time Series: Theory and Application to NIR Spectroscopy Data
• [stat.ME]Filtrated Common Functional Principal Components for Multivariate Functional data
• [stat.ME]General Bayesian Loss Function Selection and the use of Improper Models
• [stat.ME]Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework
• [stat.ME]On Selection of Semiparametric Spatial Regression Models
• [stat.ME]Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment
• [stat.ML]Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes
• [stat.ML]Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
• [stat.ML]Framing RNN as a kernel method: A neural ODE approach
• [stat.ML]Latent Space Refinement for Deep Generative Models
• [stat.ML]Matrix factorisation and the interpretation of geodesic distance
• [stat.ML]Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
• [stat.ML]Robustifying Algorithms of Learning Latent Trees with Vector Variables
• [stat.ML]Spectral embedding for dynamic networks with stability guarantees
• [stat.ML]Testing Group Fairness via Optimal Transport Projections
• [stat.ML]Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize

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• [astro-ph.EP]Quantifying the Similarity of Planetary System Architectures
Dolev Bashi, Shay Zucker
http://arxiv.org/abs/2106.00688v1

• [cs.AI]A Span Extraction Approach for Information Extraction on Visually-Rich Documents
Tuan-Anh D. Nguyen, Hieu M. Vu, Nguyen Hong Son, Minh-Tien Nguyen
http://arxiv.org/abs/2106.00978v1

• [cs.AI]Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment
Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
http://arxiv.org/abs/2106.00517v2

• [cs.AI]Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing
Zhisheng Hu, Shengjian Guo, Zhenyu Zhong, Kang Li
http://arxiv.org/abs/2106.00873v1

• [cs.AI]End-to-End Hierarchical Relation Extraction for Generic Form Understanding
Tuan-Anh Nguyen Dang, Duc-Thanh Hoang, Quang-Bach Tran, Chih-Wei Pan, Thanh-Dat Nguyen
http://arxiv.org/abs/2106.00980v1

• [cs.AI]Learning to schedule job-shop problems: Representation and policy learning using graph neural network and reinforcement learning
Junyoung Park, Jaehyeong Chun, Sang Hun Kim, Youngkook Kim, Jinkyoo Park
http://arxiv.org/abs/2106.01086v1

• [cs.AI]Low-cost Stereovision system (disparity map) for few dollars
R. Ildar, E. Pomazov
http://arxiv.org/abs/2106.00905v1

• [cs.AI]On Efficiently Explaining Graph-Based Classifiers
Xuanxiang Huang, Yacine Izza, Alexey Ignatiev, Joao Marques-Silva
http://arxiv.org/abs/2106.01350v1

• [cs.AI]Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving
Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang, Keh-Yih Su
http://arxiv.org/abs/2106.00990v1

• [cs.AI]Smooth Q-learning: Accelerate Convergence of Q-learning Using Similarity
Wei Liao, Xiaohui Wei, Jizhou Lai
http://arxiv.org/abs/2106.01134v1

• [cs.AI]Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play
Wanqi Xue, Youzhi Zhang, Shuxin Li, Xinrun Wang, Bo An, Chai Kiat Yeo
http://arxiv.org/abs/2106.00897v1

• [cs.CL]A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space
Sara Rajaee, Mohammad Taher Pilehvar
http://arxiv.org/abs/2106.01183v1

• [cs.CL]A Multi-Level Attention Model for Evidence-Based Fact Checking
Canasai Kruengkrai, Junichi Yamagishi, Xin Wang
http://arxiv.org/abs/2106.00950v1

• [cs.CL]A Unified Generative Framework for Various NER Subtasks
Hang Yan, Tao Gui, Junqi Dai, Qipeng Guo, Zheng Zhang, Xipeng Qiu
http://arxiv.org/abs/2106.01223v1

• [cs.CL]An In-depth Study on Internal Structure of Chinese Words
Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan
http://arxiv.org/abs/2106.00334v1

• [cs.CL]Answer Generation for Retrieval-based Question Answering Systems
Chao-Chun Hsu, Eric Lind, Luca Soldaini, Alessandro Moschitti
http://arxiv.org/abs/2106.00955v1

• [cs.CL]COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, Nanyun Peng
http://arxiv.org/abs/2106.00969v1

• [cs.CL]Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?
Luisa Bentivogli, Mauro Cettolo, Marco Gaido, Alina Karakanta, Alberto Martinelli, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2106.01045v1

• [cs.CL]Claim Matching Beyond English to Scale Global Fact-Checking
Ashkan Kazemi, Kiran Garimella, Devin Gaffney, Scott A. Hale
http://arxiv.org/abs/2106.00853v1

• [cs.CL]CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction
Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong
http://arxiv.org/abs/2106.00793v1

• [cs.CL]Comparing Test Sets with Item Response Theory
Clara Vania, Phu Mon Htut, William Huang, Dhara Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho, Samuel R. Bowman
http://arxiv.org/abs/2106.00840v1

• [cs.CL]Conversational Question Answering: A Survey
Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang
http://arxiv.org/abs/2106.00874v1

• [cs.CL]ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir Radev
http://arxiv.org/abs/2106.00829v1

• [cs.CL]Cross-document Coreference Resolution over Predicted Mentions
Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi, Ido Dagan
http://arxiv.org/abs/2106.01210v1

• [cs.CL]DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation
Xinyu Hua, Ashwin Sreevatsa, Lu Wang
http://arxiv.org/abs/2106.00791v1

• [cs.CL]Database Reasoning Over Text
James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel, Alon Halevy
http://arxiv.org/abs/2106.01074v1

• [cs.CL]Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions
Paras Bhatt, Anthony Rios
http://arxiv.org/abs/2106.01170v1

• [cs.CL]DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, Yulia Tsvetkov
http://arxiv.org/abs/2106.00920v1

• [cs.CL]Differential Privacy for Text Analytics via Natural Text Sanitization
Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow
http://arxiv.org/abs/2106.01221v1

• [cs.CL]Discrete Cosine Transform as Universal Sentence Encoder
Nada Almarwani, Mona Diab
http://arxiv.org/abs/2106.00934v1

• [cs.CL]DynaEval: Unifying Turn and Dialogue Level Evaluation
Chen Zhang, Yiming Chen, Luis Fernando D’Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee, Haizhou Li
http://arxiv.org/abs/2106.01112v1

• [cs.CL]Efficient Passage Retrieval with Hashing for Open-domain Question Answering
Ikuya Yamada, Akari Asai, Hannaneh Hajishirzi
http://arxiv.org/abs/2106.00882v1

• [cs.CL]End-to-End NLP Knowledge Graph Construction
Ishani Mondal, Yufang Hou, Charles Jochim
http://arxiv.org/abs/2106.01167v1

• [cs.CL]Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization
Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao
http://arxiv.org/abs/2106.01317v1

• [cs.CL]Evaluating Word Embeddings with Categorical Modularity
Sílvia Casacuberta, Karina Halevy, Damián E. Blasi
http://arxiv.org/abs/2106.00877v1

• [cs.CL]Evidence-based Factual Error Correction
James Thorne, Andreas Vlachos
http://arxiv.org/abs/2106.01072v1

• [cs.CL]Examining the Inductive Bias of Neural Language Models with Artificial Languages
Jennifer C. White, Ryan Cotterell
http://arxiv.org/abs/2106.01044v1

• [cs.CL]Exploiting Global Contextual Information for Document-level Named Entity Recognition
Zanbo Wang, Wei Wei, Xianling Mao, Shanshan Feng, Pan Zhou, Zhiyong He, Sheng Jiang
http://arxiv.org/abs/2106.00887v1

• [cs.CL]Exploring Discourse Structures for Argument Impact Classification
Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang
http://arxiv.org/abs/2106.00976v1

• [cs.CL]Few-Shot Partial-Label Learning
Yunfeng Zhao, Guoxian Yu, Lei Liu, Zhongmin Yan, Lizhen Cui, Carlotta Domeniconi
http://arxiv.org/abs/2106.00984v1

• [cs.CL]Figurative Language in Recognizing Textual Entailment
Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan
http://arxiv.org/abs/2106.01195v1

• [cs.CL]Generating Informative Conclusions for Argumentative Texts
Shahbaz Syed, Khalid Al-Khatib, Milad Alshomary, Henning Wachsmuth, Martin Potthast
http://arxiv.org/abs/2106.01064v1

• [cs.CL]Global-Selector: A New Benchmark Dataset and Model Architecture for Multi-turn Response Selection
Chiyu Song, Hongliang He, Huachuan Qiu, Haofei Yu, Zhenzhong Lan
http://arxiv.org/abs/2106.01263v1

• [cs.CL]Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
http://arxiv.org/abs/2106.01040v1

• [cs.CL]High-Quality Diversification for Task-Oriented Dialogue Systems
Zhiwen Tang, Hrishikesh Kulkarni, Grace Hui Yang
http://arxiv.org/abs/2106.00891v1

• [cs.CL]Higher-order Derivatives of Weighted Finite-state Machines
Ran Zmigrod, Tim Vieira, Ryan Cotterell
http://arxiv.org/abs/2106.00749v1

• [cs.CL]Implicit Representations of Meaning in Neural Language Models
Belinda Z. Li, Maxwell Nye, Jacob Andreas
http://arxiv.org/abs/2106.00737v1

• [cs.CL]Improving low-resource ASR performance with untranscribed out-of-domain data
Jayadev Billa
http://arxiv.org/abs/2106.01227v1

• [cs.CL]IrEne: Interpretable Energy Prediction for Transformers
Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian, Niranjan Balasubramanian
http://arxiv.org/abs/2106.01199v1

• [cs.CL]Is Sparse Attention more Interpretable?
Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell
http://arxiv.org/abs/2106.01087v1

• [cs.CL]John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs
Yova Kementchedjhieva, Mark Anderson, Anders Søgaard
http://arxiv.org/abs/2106.01060v1

• [cs.CL]LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
Ruisheng Cao, Lu Chen, Zhi Chen, Su Zhu, Kai Yu
http://arxiv.org/abs/2106.01093v1

• [cs.CL]Lower Perplexity is Not Always Human-Like
Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui
http://arxiv.org/abs/2106.01229v1

• [cs.CL]Metaphor Generation with Conceptual Mappings
Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych
http://arxiv.org/abs/2106.01228v1

• [cs.CL]Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard
http://arxiv.org/abs/2106.01051v1

• [cs.CL]More Identifiable yet Equally Performant Transformers for Text Classification
Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria, Eduard Hovy
http://arxiv.org/abs/2106.01269v1

• [cs.CL]Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access
Vishal Vinod, Susmit Agrawal, Vipul Gaurav, Pallavi R, Savita Choudhary
http://arxiv.org/abs/2106.01251v1

• [cs.CL]On Finding the $今日学术视野(2021.6.4) - 图3$ -best Non-projective Dependency Trees
Ran Zmigrod, Tim Vieira, Ryan Cotterell
http://arxiv.org/abs/2106.00780v1

• [cs.CL]On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers
Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter Milder, H. Andrew Schwartz, Niranjan Balasubramanian
http://arxiv.org/abs/2106.01335v1

• [cs.CL]On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih
http://arxiv.org/abs/2106.00872v1

• [cs.CL]One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
http://arxiv.org/abs/2106.01023v1

• [cs.CL]OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres
Yilun Zhu, Sameer Pradhan, Amir Zeldes
http://arxiv.org/abs/2106.00933v1

• [cs.CL]Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations
Louis Castricato, Stephen Fitz, Won Young Shin
http://arxiv.org/abs/2106.00851v1

• [cs.CL]Part of Speech and Universal Dependency effects on English Arabic Machine Translation
Omri Abend, Leshem Choshen, Dmitry Nikolaev, Ofek Rafaeli
http://arxiv.org/abs/2106.00745v1

• [cs.CL]Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations
Lingzhi Wang, Xingshan Zeng, Kam-Fai Wong
http://arxiv.org/abs/2105.14189v2

• [cs.CL]Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
http://arxiv.org/abs/2106.00903v1

• [cs.CL]Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance
Mark Anderson, Anders Søgaard, Carlos Gómez Rodríguez
http://arxiv.org/abs/2106.00352v2

• [cs.CL]RevCore: Review-augmented Conversational Recommendation
Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He
http://arxiv.org/abs/2106.00957v1

• [cs.CL]Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
http://arxiv.org/abs/2106.01186v1

• [cs.CL]Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King
http://arxiv.org/abs/2106.00941v1

• [cs.CL]SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues
Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu, Song-Chun Zhu
http://arxiv.org/abs/2106.01006v1

• [cs.CL]Solving Arithmetic Word Problems with Transformers and Preprocessing of Problem Text
Kaden Griffith, Jugal Kalita
http://arxiv.org/abs/2106.00893v1

• [cs.CL]SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics
Hitomi Yanaka, Koji Mineshima, Kentaro Inui
http://arxiv.org/abs/2106.01077v1

• [cs.CL]T-BERT — Model for Sentiment Analysis of Micro-blogs Integrating Topic Model and BERT
Sarojadevi Palani, Prabhu Rajagopal, Sidharth Pancholi
http://arxiv.org/abs/2106.01097v1

• [cs.CL]Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi, Yulan He
http://arxiv.org/abs/2106.01191v1

• [cs.CL]Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou, Yulan He
http://arxiv.org/abs/2106.01071v1

• [cs.CL]Towards Emotional Support Dialog Systems
Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang
http://arxiv.org/abs/2106.01144v1

• [cs.CL]Towards Robustness of Text-to-SQL Models against Synonym Substitution
Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie, Pengsheng Huang
http://arxiv.org/abs/2106.01065v1

• [cs.CL]Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning
Forrest Davis, Marten van Schijndel
http://arxiv.org/abs/2106.01207v1

• [cs.CL]Unsupervised Out-of-Domain Detection via Pre-trained Transformers
Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong
http://arxiv.org/abs/2106.00948v1

• [cs.CL]Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices
Sebastin Santy, Anku Rani, Monojit Choudhury
http://arxiv.org/abs/2106.01105v1

• [cs.CL]What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Nikita Nangia, Saku Sugawara, Harsh Trivedi, Alex Warstadt, Clara Vania, Samuel R. Bowman
http://arxiv.org/abs/2106.00794v1

• [cs.CL]When and Why does a Model Fail? A Human-in-the-loop Error Detection Framework for Sentiment Analysis
Zhe Liu, Yufan Guo, Jalal Mahmud
http://arxiv.org/abs/2106.00954v1

• [cs.CL]Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text
Kunwoo Park, Zhufeng Pan, Jungseock Joo
http://arxiv.org/abs/2106.01033v1

• [cs.CL]Why Machine Reading Comprehension Models Learn Shortcuts?
Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang, Dongyan Zhao
http://arxiv.org/abs/2106.01024v1

• [cs.CL]belabBERT: a Dutch RoBERTa-based language model applied to psychiatric classification
Joppe Wouts, Janna de Boer, Alban Voppel, Sanne Brederoo, Sander van Splunter, Iris Sommer
http://arxiv.org/abs/2106.01091v1

• [cs.CL]multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha, Prateek Yadav, Mohit Bansal
http://arxiv.org/abs/2106.01354v1

• [cs.CR]Transaction Fee Mechanism Design
Tim Roughgarden
http://arxiv.org/abs/2106.01340v1

• [cs.CV]A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications
Ciprian Orhei, Silviu Vert, Radu Vasiu
http://arxiv.org/abs/2106.01055v1

• [cs.CV]Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning
Benoit Dufumier, Pietro Gori, Ilaria Battaglia, Julie Victor, Antoine Grigis, Edouard Duchesnay
http://arxiv.org/abs/2106.01132v1

• [cs.CV]Cleaning and Structuring the Label Space of the iMet Collection 2020
Vivien Nguyen, Sunnie S. Y. Kim
http://arxiv.org/abs/2106.00815v1

• [cs.CV]Consumer Image Quality Prediction using Recurrent Neural Networks for Spatial Pooling
Jari Korhonen, Yicheng Su, Junyong You
http://arxiv.org/abs/2106.00918v1

• [cs.CV]DFGC 2021: A DeepFake Game Competition
Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun, Han Chen, Baoying Chen, Yanjie Hu, Shenghai Luo, Junrui Huang, Yutong Yao, Boyuan Liu, Hefei Ling, Guosheng Zhang, Zhiliang Xu, Changtao Miao, Changlei Lu, Shan He, Xiaoyan Wu, Wanyi Zhuang
http://arxiv.org/abs/2106.01217v1

• [cs.CV]Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection
Pierre Gutierrez, Antoine Cordier, Thaïs Caldeira, Théophile Sautory
http://arxiv.org/abs/2106.01277v1

• [cs.CV]End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net
Tuan-Anh Nguyen Dang, Dat-Thanh Nguyen
http://arxiv.org/abs/2106.00952v1

• [cs.CV]Feedback Network for Mutually Boosted Stereo Image Super-Resolution and Disparity Estimation
Qinyan Dai, Juncheng Li, Qiaosi Yi, Faming Fang, Guixu Zhang
http://arxiv.org/abs/2106.00985v1

• [cs.CV]ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
Danila Rukhovich, Anna Vorontsova, Anton Konushin
http://arxiv.org/abs/2106.01178v1

• [cs.CV]Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
Laura Elena Cué La Rosa, Camile Sothe, Raul Queiroz Feitosa, Cláudia Maria de Almeida, Marcos Benedito Schimalski, Dario Augusto Borges Oliveira
http://arxiv.org/abs/2106.00799v1

• [cs.CV]Online and Real-Time Tracking in a Surveillance Scenario
Oliver Urbann, Oliver Bredtmann, Maximilian Otten, Jan-Philip Richter, Thilo Bauer, David Zibriczky
http://arxiv.org/abs/2106.01153v1

• [cs.CV]Refining the bounding volumes for lossless compression of voxelized point clouds geometry
Emre Can Kaya, Sebastian Schwarz, Ioan Tabus
http://arxiv.org/abs/2106.00828v1

• [cs.CV]Rethinking Cross-modal Interaction from a Top-down Perspective for Referring Video Object Segmentation
Chen Liang, Yu W
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u, Tianfei Zhou, Wenguan Wang, Zongxin Yang, Yunchao Wei, Yi Yang
http://arxiv.org/abs/2106.01061v1

• [cs.CV]Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery
Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang
http://arxiv.org/abs/2106.00880v1

• [cs.CV]Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
Xiaokang Chen, Yuhui Yuan, Gang Zeng, Jingdong Wang
http://arxiv.org/abs/2106.01226v1

• [cs.CV]TSI: Temporal Saliency Integration for Video Action Recognition
Haisheng Su, Jinyuan Feng, Dongliang Wang, Weihao Gan, Wei Wu, Yu Qiao
http://arxiv.org/abs/2106.01088v1

• [cs.CV]The Semi-Supervised iNaturalist Challenge at the FGVC8 Workshop
Jong-Chyi Su, Subhransu Maji
http://arxiv.org/abs/2106.01364v1

• [cs.CV]Towards Robust Classification Model by Counterfactual and Invariant Data Generation
Chun-Hao Chang, George Alexandru Adam, Anna Goldenberg
http://arxiv.org/abs/2106.01127v1

• [cs.CV]Towards Unified Surgical Skill Assessment
Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
http://arxiv.org/abs/2106.01035v1

• [cs.CV]TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classication
Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, Yongbing Zhang
http://arxiv.org/abs/2106.00908v1

• [cs.CV]Translational Symmetry-Aware Facade Parsing for 3D Building Reconstruction
Hantang Liu, Wentong Li, Jianke Zhu
http://arxiv.org/abs/2106.00912v1

• [cs.CV]nnDetection: A Self-configuring Method for Medical Object Detection
Michael Baumgartner, Paul F. Jaeger, Fabian Isensee, Klaus H. Maier-Hein
http://arxiv.org/abs/2106.00817v1

• [cs.DC]Chunk Content is not Enough: Chunk-Context Aware Resemblance Detection for Deduplication Delta Compression
Xuming Ye, Xiaoye Xue, Wenlong Tian, Zhiyong Xu, Weijun Xiao, Ruixuan Li
http://arxiv.org/abs/2106.01273v1

• [cs.DC]Efficient Deterministic Leader Election for Programmable Matter
Fabien Dufoulon, Shay Kutten, William K. Moses Jr.
http://arxiv.org/abs/2106.01108v1

• [cs.DC]Introducing “Neuromorphic Computing and Engineering”
Giacomo Indiveri
http://arxiv.org/abs/2106.01329v1

• [cs.DC]Multi-Objectivizing Software Configuration Tuning (for a single performance concern)
Tao Chen, Miqing Li
http://arxiv.org/abs/2106.01331v1

• [cs.DL]A weighted unified informetrics based on Scopus and WoS
Parul Khurana, Geetha Ganesan, Gulshan Kumar, Kiran Sharma
http://arxiv.org/abs/2106.01232v1

• [cs.DL]Your Tribe Decides Your Vibe: Analyzing Local Popularity in the US Patent Citation Network
Nishit Narang, Manoj Kumar Ganji, Amit Anil Nanavati
http://arxiv.org/abs/2106.01148v1

• [cs.DS]The Generalized Mean Densest Subgraph Problem
Nate Veldt, Austin R. Benson, Jon Kleinberg
http://arxiv.org/abs/2106.00909v1

• [cs.DS]Ultra-Sparse Near-Additive Emulators
Michael Elkin, Shaked Matar
http://arxiv.org/abs/2106.01036v1

• [cs.IR]PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang
http://arxiv.org/abs/2106.01300v1

• [cs.IT]Asymptotic Characterisation of Regularised Zero-Forcing Receiver for Imperfect and Correlated Massive MIMO Systems with Optimal Power Allocation
Ayed M. Alrashsi
http://arxiv.org/abs/2106.01084v1

• [cs.IT]Asymptotics of Sequential Composite Hypothesis Testing under Probabilistic Constraints
Jiachun Pan, Yonglong Li, Vincent Y. F. Tan
http://arxiv.org/abs/2106.00896v1

• [cs.IT]Cooperative Encoding and Decoding of Mixed Delay Traffic under Random-User Activity
Homa Nikbakht, Michèle Wigger, Shlomo Shamai, Jean-Marie Gorce
http://arxiv.org/abs/2106.01286v1

• [cs.IT]Intermittent Private Information Retrieval with Application to Location Privacy
Fangwei Ye, Salim El Rouayheb
http://arxiv.org/abs/2106.00740v1

• [cs.IT]Necessary and Sufficient Girth Conditions for LDPC Tanner Graphs with Denser Protographs
Anthony Gómez-Fonseca, Roxana Smarandache, David G. M. Mitchell
http://arxiv.org/abs/2106.00861v1

• [cs.IT]On Classification of MIMO Equalizers
Wing Chau Ng, Chuandong Li
http://arxiv.org/abs/2106.00795v1

• [cs.IT]SWIPT with Intelligent Reflecting Surfaces under Spatial Correlation
Constantinos Psomas, Ioannis Krikidis
http://arxiv.org/abs/2106.00771v1

• [cs.LG]A Generalizable Approach to Learning Optimizers
Diogo Almeida, Clemens Winter, Jie Tang, Wojciech Zaremba
http://arxiv.org/abs/2106.00958v1

• [cs.LG]A Privacy-Preserving and Trustable Multi-agent Learning Framework
Anudit Nagar, Cuong Tran, Ferdinando Fioretto
http://arxiv.org/abs/2106.01242v1

• [cs.LG]Addressing the Long-term Impact of ML Decisions via Policy Regret
David Lindner, Hoda Heidari, Andreas Krause
http://arxiv.org/abs/2106.01325v1

• [cs.LG]An Empirical Comparison of Off-policy Prediction Learning Algorithms on the Collision Task
Sina Ghiassian, Richard S. Sutton
http://arxiv.org/abs/2106.00922v1

• [cs.LG]An Entropy Regularization Free Mechanism for Policy-based Reinforcement Learning
Changnan Xiao, Haosen Shi, Jiajun Fan, Shihong Deng
http://arxiv.org/abs/2106.00707v1

• [cs.LG]Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US
Jing Ma, Yushun Dong, Zheng Huang, Daniel Mietchen, Jundong Li
http://arxiv.org/abs/2106.01315v1

• [cs.LG]Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
Xingyu Zhao, Wei Huang, Alec Banks, Victoria Cox, David Flynn, Sven Schewe, Xiaowei Huang
http://arxiv.org/abs/2106.01258v1

• [cs.LG]Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions
Rohan Giriraj, Sinnu Susan Thomas
http://arxiv.org/abs/2106.01043v1

• [cs.LG]Collaborative Nonstationary Multivariate Gaussian Process Model
Rui Meng, Herbie Lee, Kristofer Bouchard
http://arxiv.org/abs/2106.00719v1

• [cs.LG]Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation
Mounssif Krouka, Anis Elgabli, Chaouki ben Issaid, Mehdi Bennis
http://arxiv.org/abs/2106.00999v1

• [cs.LG]Contrastive ACE: Domain Generalization Through Alignment of Causal Mechanisms
Yunqi Wang, Furui Liu, Zhitang Chen, Qing Lian, Shoubo Hu, Jianye Hao, Yik-Chung Wu
http://arxiv.org/abs/2106.00925v1

• [cs.LG]Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests
Victor Veitch, Alexander D’Amour, Steve Yadlowsky, Jacob Eisenstein
http://arxiv.org/abs/2106.00545v2

• [cs.LG]Decision Transformer: Reinforcement Learning via Sequence Modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
http://arxiv.org/abs/2106.01345v1

• [cs.LG]Decision-making Oriented Clustering: Application to Pricing and Power Consumption Scheduling
Chao Zhang, Samson Lasaulce, Martin Hennebel, Lucas Saludjian, Patrick Panciatici, H. Vincent Poor
http://arxiv.org/abs/2106.01021v1

• [cs.LG]Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural Networks
Mohammadreza Armandpour, Brian Kidd, Yu Du, Jianhua Z. Huang
http://arxiv.org/abs/2106.00884v1

• [cs.LG]Deep learning-based multi-output quantile forecasting of PV generation
Jonathan Dumas, Colin Cointe, Xavier Fettweis, Bertrand Cornélusse
http://arxiv.org/abs/2106.01271v1

• [cs.LG]Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification
Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon
http://arxiv.org/abs/2106.00730v1

• [cs.LG]Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels
Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis
http://arxiv.org/abs/2106.00995v1

• [cs.LG]Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions
Leslie O’Bray, Max Horn, Bastian Rieck, Karsten Borgwardt
http://arxiv.org/abs/2106.01098v1

• [cs.LG]Evidential Turing Processes
Melih Kandemir, Abdullah Akgül, Manuel Haussmann, Gozde Unal
http://arxiv.org/abs/2106.01216v1

• [cs.LG]Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making
Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
http://arxiv.org/abs/2106.01048v1

• [cs.LG]Fair-Net: A Network Architecture For Reducing Performance Disparity Between Identifiable Sub-Populations
Arghya Datta, S. Joshua Swamidass
http://arxiv.org/abs/2106.00720v1

• [cs.LG]FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
Yiqiang Chen, Wang Lu, Jindong Wang, Xin Qin
http://arxiv.org/abs/2106.01009v1

• [cs.LG]Hybrid Ensemble optimized algorithm based on Genetic Programming for imbalanced data classification
Maliheh Roknizadeh, Hossein Monshizadeh Naeen
http://arxiv.org/abs/2106.01176v1

• [cs.LG]Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks
Antonello Rosato, Massimo Panella, Denis Kleyko
http://arxiv.org/abs/2106.00881v1

• [cs.LG]Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment
Piyush K. Sharma, Adrienne Raglin
http://arxiv.org/abs/2106.00787v1

• [cs.LG]Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Gautam Kamath, Xingtu Liu, Huanyu Zhang
http://arxiv.org/abs/2106.01336v1

• [cs.LG]Improvement over Pinball Loss Support Vector Machine
Pritam Anand, Reshma Rastogi, Suresh Chandra
http://arxiv.org/abs/2106.01109v1

• [cs.LG]Improving Compositionality of Neural Networks by Decoding Representations to Inputs
Mike Wu, Noah Goodman, Stefano Ermon
http://arxiv.org/abs/2106.00769v1

• [cs.LG]Information Theoretic Measures for Fairness-aware Feature Selection
Sajad Khodadadian, Mohamed Nafea, AmirEmad Ghassami, Negar Kiyavash
http://arxiv.org/abs/2106.00772v1

• [cs.LG]Invariant Policy Learning: A Causal Perspective
Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister
http://arxiv.org/abs/2106.00808v1

• [cs.LG]JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data
Kourosh Hakhamaneshi, Pieter Abbeel, Vladimir Stojanovic, Aditya Grover
http://arxiv.org/abs/2106.00942v1

• [cs.LG]KO-PDE: Kernel Optimized Discovery of Partial Differential Equations with Varying Coefficients
Yingtao Luo, Qiang Liu, Yuntian Chen, Wenbo Hu, Jun Zhu
http://arxiv.org/abs/2106.01078v1

• [cs.LG]Large-Scale Wasserstein Gradient Flows
Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev
http://arxiv.org/abs/2106.00736v1

• [cs.LG]Learn to Predict Equilibria via Fixed Point Networks
Howard Heaton, Daniel McKenzie, Qiuwei Li, Samy Wu Fung, Stanley Osher, Wotao Yin
http://arxiv.org/abs/2106.00906v1

• [cs.LG]Learning a Single Neuron with Bias Using Gradient Descent
Gal Vardi, Gilad Yehudai, Ohad Shamir
http://arxiv.org/abs/2106.01101v1

• [cs.LG]Learning to Rehearse in Long Sequence Memorization
Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao
http://arxiv.org/abs/2106.01096v1

• [cs.LG]Leveraging Pre-Images to Discover Nonlinear Relationships in Multivariate Environments
M. Ali Vosoughi, Axel Wismuller
http://arxiv.org/abs/2106.00842v1

• [cs.LG]Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
Meyer Scetbon, Gabriel Peyré, Marco Cuturi
http://arxiv.org/abs/2106.01128v1

• [cs.LG]Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Aymen Hamrouni, Hakim Ghazzai, Turki Alelyani, Yehia Massoud
http://arxiv.org/abs/2106.00717v1

• [cs.LG]MNL-Bandit with Knapsacks
Abdellah Aznag, Vineet Goyal, Noemie Perivier
http://arxiv.org/abs/2106.01135v1

• [cs.LG]Multiresolution Graph Variational Autoencoder
Truong Son Hy, Risi Kondor
http://arxiv.org/abs/2106.00967v1

• [cs.LG]On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
Jiawei Huang, Nan Jiang
http://arxiv.org/abs/2106.00993v1

• [cs.LG]Online Coreset Selection for Rehearsal-based Continual Learning
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
http://arxiv.org/abs/2106.01085v1

• [cs.LG]Partial Wasserstein Covering
Keisuke Kawano, Satoshi Koide, Keisuke Otaki
http://arxiv.org/abs/2106.00886v1

• [cs.LG]Post-mortem on a deep learning contest: a Simpson’s paradox and the complementary roles of scale metrics versus shape metrics
Charles H. Martin, Michael W. Mahoney
http://arxiv.org/abs/2106.00734v1

• [cs.LG]Pricing Algorithmic Insurance
Dimitris Bertsimas, Agni Orfanoudaki
http://arxiv.org/abs/2106.00839v1

• [cs.LG]Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models
Daniel T. Chang
http://arxiv.org/abs/2106.00120v2

• [cs.LG]QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning
Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut, Eric Moulines
http://arxiv.org/abs/2106.00797v1

• [cs.LG]SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Gowthami Somepalli, Micah Goldblum, Avi Schwarzschild, C. Bayan Bruss, Tom Goldstein
http://arxiv.org/abs/2106.01342v1

• [cs.LG]Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals
Peter Hase, Harry Xie, Mohit Bansal
http://arxiv.org/abs/2106.00786v1

• [cs.LG]Some Ethical Issues in the Review Process of Machine Learning Conferences
Alessio Russo
http://arxiv.org/abs/2106.00810v1

• [cs.LG]Statistical optimality conditions for compressive ensembles
Henry W. J. Reeve, Ata Kaban
http://arxiv.org/abs/2106.01092v1

• [cs.LG]Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels
Paul Resnick, Yuqing Kong, Grant Schoenebeck, Tim Weninger
http://arxiv.org/abs/2106.01254v1

• [cs.LG]Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators
Anindita Maiti, Keegan Stoner, James Halverson
http://arxiv.org/abs/2106.00694v1

• [cs.LG]Towards Deeper Deep Reinforcement Learning
Johan Bjorck, Carla P. Gomes, Kilian Q. Weinberger
http://arxiv.org/abs/2106.01151v1

• [cs.LG]Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals
Jiri Navratil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri
http://arxiv.org/abs/2106.00858v1

• [cs.LG]Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding
Sana Tonekaboni, Danny Eytan, Anna Goldenberg
http://arxiv.org/abs/2106.00750v1

• [cs.LG]Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning
Nicolas Vecoven, Damien Ernst, Guillaume Drion
http://arxiv.org/abs/2106.01001v1

• [cs.LG]Weighting vectors for machine learning: numerical harmonic analysis applied to boundary detection
Eric Bunch, Jeffery Kline, Daniel Dickinson, Suhaas Bhat, Glenn Fung
http://arxiv.org/abs/2106.00827v1

• [cs.MA]Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
http://arxiv.org/abs/2106.00845v1

• [cs.NE]A Differentiable Point Process with Its Application to Spiking Neural Networks
Hiroshi Kajino
http://arxiv.org/abs/2106.00901v1

• [cs.NE]Automating Speedrun Routing: Overview and Vision
Matthias Groß, Dietlind Zühlke, Boris Naujoks
http://arxiv.org/abs/2106.01182v1

• [cs.NE]Bottom-Up and Top-Down Neural Processing Systems Design: Neuromorphic Intelligence as the Convergence of Natural and Artificial Intelligence
Charlotte Frenkel, David Bol, Giacomo Indiveri
http://arxiv.org/abs/2106.01288v1

• [cs.NE]Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang
http://arxiv.org/abs/2106.01177v1

• [cs.NE]Multi-stage, multi-swarm PSO for joint optimization of well placement and control
Ajitabh Kumar
http://arxiv.org/abs/2106.01146v1

• [cs.NE]Online Detection of Vibration Anomalies Using Balanced Spiking Neural Networks
Nik Dennler, Germain Haessig, Matteo Cartiglia, Giacomo Indiveri
http://arxiv.org/abs/2106.00687v1

• [cs.RO]A Topological Solution of Entanglement for Complex-shaped Parts in Robotic Bin-picking
Xinyi Zhang, Keisuke Koyama, Yukiyasu Domae, Weiwei Wan, Kensuke Harada
http://arxiv.org/abs/2106.00943v1

• [cs.RO]A robust controller for stable 3D pinching using tactile sensing
Efi Psomopoulou, Nicholas Pestell, Fotios Papadopoulos, John Lloyd, Zoe Doulgeri, Nathan F. Lepora
http://arxiv.org/abs/2106.01110v1

• [cs.RO]Evaluating Recipes Generated from Functional Object-Oriented Network
Md Sadman Sakib, Hailey Baez, David Paulius, Yu Sun
http://arxiv.org/abs/2106.00728v1

• [cs.RO]Grasp stability prediction with time series data based on STFT and LSTM
Tao Wang, Frank Kirchner
http://arxiv.org/abs/2106.01272v1

• [cs.RO]Lattices of sensors reconsidered when less information is preferred
Yulin Zhang, Dylan A. Shell
http://arxiv.org/abs/2106.00805v1

• [cs.RO]Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control
Salar Asayesh, Mo Chen, Mehran Mehrandezh, Kamal Gupta
http://arxiv.org/abs/2106.00936v1

• [cs.RO]NeRP: Neural Rearrangement Planning for Unknown Objects
Ahmed H. Qureshi, Arsalan Mousavian, Chris Paxton, Michael C. Yip, Dieter Fox
http://arxiv.org/abs/2106.01352v1

• [cs.RO]OctoPath: An OcTree Based Self-Supervised Learning Approach to Local Trajectory Planning for Mobile Robots
Bogdan Trasnea, Cosmin Ginerica, Mihai Zaha, Gigel Macesanu, Claudiu Pozna, Sorin Grigorescu
http://arxiv.org/abs/2106.00988v1

• [cs.RO]Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units
Shiyu Jin, Diego Romeres, Arvind Ragunathan, Devesh K. Jha, Masayoshi Tomizuka
http://arxiv.org/abs/2106.00898v1

• [cs.SD]Exploring modality-agnostic representations for music classification
Ho-Hsiang Wu, Magdalena Fuentes, Juan P. Bello
http://arxiv.org/abs/2106.01149v1

• [cs.SD]NVC-Net: End-to-End Adversarial Voice Conversion
Bac Nguyen, Fabien Cardinaux
http://arxiv.org/abs/2106.00992v1

• [cs.SI]A/B Testing for Recommender Systems in a Two-sided Marketplace
Preetam Nandy, Divya Venugopalan, Chun Lo, Shaunak Chatterjee
http://arxiv.org/abs/2106.00762v1

• [cs.SI]Debate on Online Social Networks at the Time of COVID-19: An Italian Case Study
Martino Trevisan, Luca Vassio, Danilo Giordano
http://arxiv.org/abs/2106.01013v1

• [eess.IV]Deep Clustering Activation Maps for Emphysema Subtyping
Weiyi Xie, Colin Jacobs, Bram van Ginneken
http://arxiv.org/abs/2106.01351v1

• [eess.IV]Deep Learning based Full-reference and No-reference Quality Assessment Models for Compressed UGC Videos
Wei Sun, Tao Wang, Xiongkuo Min, Fuwang Yi, Guangtao Zhai
http://arxiv.org/abs/2106.01111v1

• [eess.IV]Fourier Space Losses for Efficient Perceptual Image Super-Resolution
Dario Fuoli, Luc Van Gool, Radu Timofte
http://arxiv.org/abs/2106.00783v1

• [eess.IV]Is good old GRAPPA dead?
Zaccharie Ramzi, Alexandre Vignaud, Jean-Luc Starck, Philippe Ciuciu
http://arxiv.org/abs/2106.00753v1

• [eess.IV]Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy
Michel Pohl, Mitsuru Uesaka, Hiroyuki Takahashi, Kazuyuki Demachi, Ritu Bhusal Chhatkuli
http://arxiv.org/abs/2106.01100v1

• [eess.IV]Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging
Minh-Son To, Ian G Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro
http://arxiv.org/abs/2106.00919v1

• [eess.IV]Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
Changhee Han, Takayuki Okamoto, Koichi Takeuchi, Dimitris Katsios, Andrey Grushnikov, Masaaki Kobayashi, Antoine Choppin, Yutaka Kurashina, Yuki Shimahara
http://arxiv.org/abs/2106.00997v1

• [eess.SP]Intelligent Surface Optimization in Terahertz under Two Manifestations of Molecular Re-radiation
Anish Pradhan, J. Kartheek Devineni, Harpreet S. Dhillon, Andreas F. Molisch
http://arxiv.org/abs/2106.01225v1

• [eess.SP]Opening the Black Box of Deep Neural Networks in Physical Layer Communication
Jun Liu, Kai Mei, Dongtang Ma, Jibo Wei
http://arxiv.org/abs/2106.01124v1

• [eess.SY]Concurrent Learning Based Tracking Control of Nonlinear Systems using Gaussian Process
Vedant Bhandari, Erkan Kayacan
http://arxiv.org/abs/2106.00910v1

• [eess.SY]Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach
Myoung Hoon Lee, Jun Moon
http://arxiv.org/abs/2106.01016v1

• [eess.SY]Design and Comparison of Reward Functions in Reinforcement Learning for Energy Management of Sensor Nodes
Yohann Rioual, Yannick Le Moullec, Johann Laurent, Muhidul Islam Khan, Jean-Philippe Diguet
http://arxiv.org/abs/2106.01114v1

• [math.AT]Digital homotopy relations and digital homology theories
P. Christopher Staecker
http://arxiv.org/abs/2106.01171v1

• [math.MG]A Theory for Locus Ellipticity of Poncelet 3-Periodics
Mark Helman, Dominique Laurain, Dan Reznik, Ronaldo Garcia
http://arxiv.org/abs/2106.00715v1

• [math.NA]Accurate and Robust Deep Learning Framework for Solving Wave-Based Inverse Problems in the Super-Resolution Regime
Matthew Li, Laurent Demanet, Leonardo Zepeda-Núñez
http://arxiv.org/abs/2106.01143v1

• [math.OC]On-Line Policy Iteration for Infinite Horizon Dynamic Programming
Dimitri Bertsekas
http://arxiv.org/abs/2106.00746v1

• [math.ST]Semiparametric tail-index estimation for randomly right-truncated heavy-tailed data
Saida Mancer, Abdelhakim Necir, Souad Benchaira
http://arxiv.org/abs/2106.01004v1

• [physics.chem-ph]An Extendible, Graph-Neural-Network-Based Approach for Accurate Force Field Development of Large Flexible Organic Molecules
Xufei Wang, Yuanda Xu, Han Zheng, Kuang Yu
http://arxiv.org/abs/2106.00927v1

• [physics.chem-ph]Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting
Stephan Thaler, Julija Zavadlav
http://arxiv.org/abs/2106.01138v1

• [physics.geo-ph]Modeling Buried Object Brightness and Visibility for Ground Penetrating Radar
Garrett A. Stevenson, Jason Wilson, Brian M. Worthmann, Wlamir Xavier
http://arxiv.org/abs/2106.00876v1

• [physics.med-ph]A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI
Zhuo He, Xinwei Zhang, Chen Zhao, Zhiyong Qian, Yao Wang, Xiaofeng Hou, Jiangang Zou, Weihua Zhou
http://arxiv.org/abs/2106.01355v1

• [q-bio.NC]Statistical Mechanics of Neural Processing of Object Manifolds
SueYeon Chung
http://arxiv.org/abs/2106.00790v1

• [quant-ph]Connectivity constrains quantum codes
Nouédyn Baspin, Anirudh Krishna
http://arxiv.org/abs/2106.00765v1

• [stat.AP]Band Depth based initialization of $今日学术视野(2021.6.4) - 图4$ -Means for functional data clustering
Javier Albert-Smet, Aurora Torrente, Juan Romo
http://arxiv.org/abs/2106.01129v1

• [stat.AP]Interpolation and linear prediction of data — three kernel selection criteria
Azzouz Dermoune, Mohammed Es. Sebaiy, Jabrane Moustaaid
http://arxiv.org/abs/2106.01125v1

• [stat.AP]Optimal relativities in a modified Bonus-Malus system with long memory transition rules and frequency-severity dependence
Jae Youn Ahn, Eric C. K. Cheung, Rosy Oh, Jae-Kyung Woo
http://arxiv.org/abs/2106.00911v1

• [stat.AP]Quantifying out-of-station waiting time in oversaturated urban metro systems
Kangli Zhu, Zhanhong Cheng, Jianjun Wu, Fuya Yuan, Lijun Sun
http://arxiv.org/abs/2106.00888v1

• [stat.AP]semopy 2: A Structural Equation Modeling Package with Random Effects in Python
Georgy Meshcheryakov, Anna A. Igolkina, Maria G. Samsonova
http://arxiv.org/abs/2106.01140v1

• [stat.ME]Combining case-control studies for identifiability and efficiency improvement in logistic regression
Wenlu Tang, Yuanyuan Lin, Linlin Dai, Kani Chen
http://arxiv.org/abs/2106.00939v1

• [stat.ME]Feature Extraction for Functional Time Series: Theory and Application to NIR Spectroscopy Data
Yang Yang, Yanrong Yang, Han Lin Shang
http://arxiv.org/abs/2106.01150v1

• [stat.ME]Filtrated Common Functional Principal Components for Multivariate Functional data
Shuhao Jiao, Ron D. Frostig, Hernando Ombao
http://arxiv.org/abs/2106.01104v1

• [stat.ME]General Bayesian Loss Function Selection and the use of Improper Models
Jack Jewson, David Rossell
http://arxiv.org/abs/2106.01214v1

• [stat.ME]Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework
Yang Liu, Robert J. B. Goudie
http://arxiv.org/abs/2106.00996v1

• [stat.ME]On Selection of Semiparametric Spatial Regression Models
Guannan Wang, Jue Wang
http://arxiv.org/abs/2106.00914v1

• [stat.ME]Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment
Jason Poulos, Andrea Albanese, Andrea Mercatanti, Fan Li
http://arxiv.org/abs/2106.00788v1

• [stat.ML]Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes
Veit Wild, Motonobu Kanagawa, Dino Sejdinovic
http://arxiv.org/abs/2106.01121v1

• [stat.ML]Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling
Valentin De Bortoli, James Thornton, Jeremy Heng, Arnaud Doucet
http://arxiv.org/abs/2106.01357v1

• [stat.ML]Framing RNN as a kernel method: A neural ODE approach
Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau
http://arxiv.org/abs/2106.01202v1

• [stat.ML]Latent Space Refinement for Deep Generative Models
Ramon Winterhalder, Marco Bellagente, Benjamin Nachman
http://arxiv.org/abs/2106.00792v1

• [stat.ML]Matrix factorisation and the interpretation of geodesic distance
Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy
http://arxiv.org/abs/2106.01260v1

• [stat.ML]Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
David Alvarez-Melis, Yair Schiff, Youssef Mroueh
http://arxiv.org/abs/2106.00774v1

• [stat.ML]Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang, Vincent Y. F. Tan
http://arxiv.org/abs/2106.00885v1

• [stat.ML]Spectral embedding for dynamic networks with stability guarantees
Ian Gallagher, Andrew Jones, Patrick Rubin-Delanchy
http://arxiv.org/abs/2106.01282v1

• [stat.ML]Testing Group Fairness via Optimal Transport Projections
Nian Si, Karthyek Murthy, Jose Blanchet, Viet Anh Nguyen
http://arxiv.org/abs/2106.01070v1

• [stat.ML]Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize
Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov, Kevin Scaman, Hoi-To Wai
http://arxiv.org/abs/2106.01257v1