归档 - 今日学术视野(2021.6.26) - 《爱可可老师分享》

astro-ph.CO - 宇宙学和天体物理学
cond-mat.mtrl-sci - 材料科学
cond-mat.stat-mech - 统计数学
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DM - 离散数学
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.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
econ.EM - 计量经济学
econ.GN - 一般经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
gr-qc - 广义相对论与量子宇宙学
math.AG - 代数几何
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.bio-ph - 生物物理
physics.comp-ph - 计算物理学
physics.flu-dyn - 流体动力学
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-bio.QM - 定量方法
q-fin.ST - 统计金融学
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

• [astro-ph.CO]Fast, high-fidelity Lyman $今日学术视野(2021.6.26) - 图1$ forests with convolutional neural networks
• [cond-mat.mtrl-sci]Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles
• [cond-mat.stat-mech]Tensor networks for unsupervised machine learning
• [cs.AI]Awareness Logic: Kripke Lattices as a Middle Ground between Syntactic and Semantic Models
• [cs.AI]Extraction of common conceptual components from multiple ontologies
• [cs.AI]Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
• [cs.AI]The Option Keyboard: Combining Skills in Reinforcement Learning
• [cs.AR]A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
• [cs.CL]A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language
• [cs.CL]AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry
• [cs.CL]An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning
• [cs.CL]Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce
• [cs.CL]Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
• [cs.CL]Clinical Named Entity Recognition using Contextualized Token Representations
• [cs.CL]Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction
• [cs.CL]Dealing with training and test segmentation mismatch: FBK@IWSLT2021
• [cs.CL]End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
• [cs.CL]Evaluation of Representation Models for Text Classification with AutoML Tools
• [cs.CL]Exploring Self-Identified Counseling Expertise in Online Support Forums
• [cs.CL]Modeling Diagnostic Label Correlation for Automatic ICD Coding
• [cs.CL]Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language
• [cs.CL]OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
• [cs.CL]On the Influence of Machine Translation on Language Origin Obfuscation
• [cs.CL]QASR: QCRI Aljazeera Speech Resource — A Large Scale Annotated Arabic Speech Corpus
• [cs.CL]Splitting EUD graphs into trees: A quick and clatty approach
• [cs.CL]TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
• [cs.CL]Towards Understanding and Mitigating Social Biases in Language Models
• [cs.CL]Where are we in semantic concept extraction for Spoken Language Understanding?
• [cs.CR]DeepAuditor: Distributed Online Intrusion Detection System for IoT devices via Power Side-channel Auditing
• [cs.CV]A Simple and Strong Baseline: Progressively Region-based Scene Text Removal Networks
• [cs.CV]A Transformer-based Cross-modal Fusion Model with Adversarial Training for VQA Challenge 2021
• [cs.CV]All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection
• [cs.CV]Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation
• [cs.CV]AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
• [cs.CV]ChaLearn Looking at People: Inpainting and Denoising challenges
• [cs.CV]Class agnostic moving target detection by color and location prediction of moving area
• [cs.CV]Conditional Deformable Image Registration with Convolutional Neural Network
• [cs.CV]Continual Novelty Detection
• [cs.CV]Deep Fake Detection: Survey of Facial Manipulation Detection Solutions
• [cs.CV]Depth Confidence-aware Camouflaged Object Detection
• [cs.CV]Detection of Deepfake Videos Using Long Distance Attention
• [cs.CV]Differential Morph Face Detection using Discriminative Wavelet Sub-bands
• [cs.CV]Driver-centric Risk Object Identification
• [cs.CV]Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data
• [cs.CV]Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers
• [cs.CV]Exploring Stronger Feature for Temporal Action Localization
• [cs.CV]FaDIV-Syn: Fast Depth-Independent View Synthesis
• [cs.CV]Fast Monte Carlo Rendering via Multi-Resolution Sampling
• [cs.CV]Feature Completion for Occluded Person Re-Identification
• [cs.CV]FitVid: Overfitting in Pixel-Level Video Prediction
• [cs.CV]Florida Wildlife Camera Trap Dataset
• [cs.CV]Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification
• [cs.CV]GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes
• [cs.CV]Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
• [cs.CV]Handwritten Digit Recognition using Machine and Deep Learning Algorithms
• [cs.CV]Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural Networks
• [cs.CV]HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
• [cs.CV]Learning by Planning: Language-Guided Global Image Editing
• [cs.CV]MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
• [cs.CV]Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
• [cs.CV]Neural Fashion Image Captioning : Accounting for Data Diversity
• [cs.CV]Planetary UAV localization based on Multi-modal Registration with Pre-existing Digital Terrain Model
• [cs.CV]Regularisation for PCA- and SVD-type matrix factorisations
• [cs.CV]Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset
• [cs.CV]SGTBN: Generating Dense Depth Maps from Single-Line LiDAR
• [cs.CV]Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes
• [cs.CV]Sparse Needlets for Lighting Estimation with Spherical Transport Loss
• [cs.CV]Topological Semantic Mapping by Consolidation of Deep Visual Features
• [cs.CV]Towards Automatic Speech to Sign Language Generation
• [cs.CV]Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
• [cs.CV]Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks
• [cs.CV]VOLO: Vision Outlooker for Visual Recognition
• [cs.CV]Video Swin Transformer
• [cs.CV]What makes visual place recognition easy or hard?
• [cs.CV]When Differential Privacy Meets Interpretability: A Case Study
• [cs.CY]”Part Man, Part Machine, All Cop”: Automation in Policing
• [cs.CY]CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
• [cs.CY]Trust Me If You Can: Trusted Transformation Between (JSON) Schemas to Support Global Authentication of Education Credentials
• [cs.DB]A Novel Approach to Discover Switch Behaviours in Process Mining
• [cs.DC]Choice of Parallelism: Multi-GPU Driven Pipeline for Huge Academic Backbone Network
• [cs.DC]Railgun: managing large streaming windows under MAD requirements
• [cs.DC]Self-Stabilizing Phase Clocks and the Adaptive Majority Problem
• [cs.DC]Stream-based State-Machine Replication
• [cs.DC]Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
• [cs.DL]Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs
• [cs.DL]Modelling Art Interpretation and Meaning. A Data Model for Describing Iconology and Iconography
• [cs.DM]Kemeny ranking is NP-hard for 2-dimensional Euclidean preferences
• [cs.GT]Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
• [cs.HC]#StayHome Playing LoL — Analyzing Players’ Activity and Social Bonds in League of Legends During Covid-19 Lockdowns
• [cs.HC]Pattern-based Visualization of Knowledge Graphs
• [cs.IR]Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
• [cs.IR]Extreme Multi-label Learning for Semantic Matching in Product Search
• [cs.IR]RikoNet: A Novel Anime Recommendation Engine
• [cs.IR]The Stereotyping Problem in Collaboratively Filtered Recommender Systems
• [cs.IT]A partial information decomposition for discrete and continuous variables
• [cs.IT]Decoding a class of maximum Hermitian rank metric codes
• [cs.IT]On the detection of low-rank signal in the presence of spatially uncorrelated noise: a frequency domain approach
• [cs.IT]Polycyclic Codes Associated with Trinomials: Good Codes and Open Questions
• [cs.IT]Resource Management for Transmit Power Minimization in UAV-Assisted RIS HetNets Supported by Dual Connectivity
• [cs.IT]Retrospective Interference Regeneration Schemes for Relay-Aided K-user MIMO Broadcast Networks
• [cs.IT]Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
• [cs.IT]Two New Kinds of Interference Alignment Schemes for Cellular K-user MIMO Downlink Networks
• [cs.IT]User Scheduling for Precoded Satellite Systems with Individual Quality of Service Constraints
• [cs.IT]When Meta-Surfaces Meet Users: Optimization of Smart Radio Environments in 6G Sub-THz Communications
• [cs.LG]A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
• [cs.LG]A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs
• [cs.LG]A review of systematic selection of clustering algorithms and their evaluation
• [cs.LG]Abstraction of Markov Population Dynamics via Generative Adversarial Nets
• [cs.LG]Adversarial Examples in Multi-Layer Random ReLU Networks
• [cs.LG]Alternative Microfoundations for Strategic Classification
• [cs.LG]Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
• [cs.LG]Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques
• [cs.LG]Bayesian Optimization with High-Dimensional Outputs
• [cs.LG]Best-Case Lower Bounds in Online Learning
• [cs.LG]DCoM: A Deep Column Mapper for Semantic Data Type Detection
• [cs.LG]DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?
• [cs.LG]Density Constrained Reinforcement Learning
• [cs.LG]Distilling the Knowledge from Normalizing Flows
• [cs.LG]Efficient Tensor Contraction via Fast Count Sketch
• [cs.LG]Evaluation of Saliency-based Explainability Method
• [cs.LG]FF-NSL: Feed-Forward Neural-Symbolic Learner
• [cs.LG]Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning
• [cs.LG]Fairness via Representation Neutralization
• [cs.LG]Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks
• [cs.LG]Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
• [cs.LG]Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
• [cs.LG]Improved Regret Bounds for Tracking Experts with Memory
• [cs.LG]Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
• [cs.LG]Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
• [cs.LG]Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
• [cs.LG]Learnt Sparsification for Interpretable Graph Neural Networks
• [cs.LG]Leveraging semantically similar queries for ranking via combining representations
• [cs.LG]Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
• [cs.LG]Meaningfully Explaining a Model’s Mistakes
• [cs.LG]Minimum sharpness: Scale-invariant parameter-robustness of neural networks
• [cs.LG]Mix and Mask Actor-Critic Methods
• [cs.LG]Model-Based Reinforcement Learning via Latent-Space Collocation
• [cs.LG]Neural Networks for Dengue Prediction: A Systematic Review
• [cs.LG]Online Verification of Deep Neural Networks under Domain or Weight Shift
• [cs.LG]Personalized Federated Learning with Clustered Generalization
• [cs.LG]Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems
• [cs.LG]Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
• [cs.LG]Privacy Threats Analysis to Secure Federated Learning
• [cs.LG]Recurrent Neural Network from Adder’s Perspective: Carry-lookahead RNN
• [cs.LG]Reimagining GNN Explanations with ideas from Tabular Data
• [cs.LG]Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics
• [cs.LG]Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
• [cs.LG]Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
• [cs.LG]Sparse Flows: Pruning Continuous-depth Models
• [cs.LG]Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
• [cs.LG]Symmetric Wasserstein Autoencoders
• [cs.LG]Task-agnostic Continual Learning with Hybrid Probabilistic Models
• [cs.LG]Towards Biologically Plausible Convolutional Networks
• [cs.LG]Towards Fully Interpretable Deep Neural Networks: Are We There Yet?
• [cs.LG]Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
• [cs.LG]Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View
• [cs.LG]Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
• [cs.LG]Unsupervised Topic Segmentation of Meetings with BERT Embeddings
• [cs.LG]Using machine learning techniques to predict hospital admission at the emergency department
• [cs.LG]Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
• [cs.NE]Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
• [cs.RO]Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
• [cs.RO]Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control
• [cs.RO]Object Detection and Ranging for Autonomous Navigation of Mobile Robots
• [cs.RO]Some Problems of Deployment and Navigation of Civilian Aerial Drones
• [cs.SD]AudioCLIP: Extending CLIP to Image, Text and Audio
• [cs.SD]Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech
• [cs.SD]SofaMyRoom: a fast and multiplatform “shoebox” room simulator for binaural room impulse response dataset generation
• [cs.SI]BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks
• [cs.SI]Comparing the Structures and Characteristics of Different Game Social Networks — The Steam Case
• [cs.SI]Real-time Spatio-temporal Event Detection on Geotagged Social Media
• [cs.SI]SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection
• [cs.SI]TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
• [econ.EM]Constrained Classification and Policy Learning
• [econ.GN]The gig economy in Poland: evidence based on mobile big data
• [eess.IV]A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding
• [eess.IV]A Systematic Collection of Medical Image Datasets for Deep Learning
• [eess.IV]AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis
• [eess.IV]Continuous-Time Deep Glioma Growth Models
• [eess.IV]High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology
• [eess.IV]Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
• [eess.IV]Rate Distortion Characteristic Modeling for Neural Image Compression
• [eess.IV]VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
• [eess.SP]ATP-Net: An Attention-based Ternary Projection Network For Compressed Sensing
• [eess.SP]Integration of Communication and Sensing in 6G: a Joint Industrial and Academic Perspective
• [eess.SP]Orthogonal Time Frequency Space Modulation: A Discrete Zak Transform Approach
• [eess.SY]Comparison between safety methods control barrier function vs. reachability analysis
• [gr-qc]Real-time gravitational-wave science with neural posterior estimation
• [math.AG]The leading coefficient of Lascoux polynomials
• [math.AG]Weierstrass semigroup at $今日学术视野(2021.6.26) - 图2$ rational points in maximal curves which cannot be covered by the Hermitian curve
• [math.OC]A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians
• [math.OC]All unconstrained strongly convex problems are weakly simplicial
• [math.OC]GNMR: A provable one-line algorithm for low rank matrix recovery
• [math.OC]Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers
• [math.OC]Understanding Modern Techniques in Optimization: Frank-Wolfe, Nesterov’s Momentum, and Polyak’s Momentum
• [math.PR]Dispersion indexes based on bivariate measures of uncertainty
• [math.PR]Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
• [math.ST]Cauchy or not Cauchy? New goodness-of-fit tests for the Cauchy distribution
• [math.ST]Multi-Reference Alignment for sparse signals, Uniform Uncertainty Principles and the Beltway Problem
• [math.ST]Optimal estimation of coarse structural nested mean models with application to initiating ART in HIV infected patients
• [math.ST]Three rates of convergence or separation via U-statistics in a dependent framework
• [physics.bio-ph]Advancing biological super-resolution microscopy through deep learning: a brief review
• [physics.comp-ph]Lettuce: PyTorch-based Lattice Boltzmann Framework
• [physics.comp-ph]Machine learning structure preserving brackets for forecasting irreversible processes
• [physics.flu-dyn]Neural ODE to model and prognose thermoacoustic instability
• [physics.soc-ph]Graphlets in multilayer networks
• [q-bio.NC]On the relationship between predictive coding and backpropagation
• [q-bio.QM]SALT: Sea lice Adaptive Lattice Tracking — An Unsupervised Approach to Generate an Improved Ocean Model
• [q-fin.ST]Fund2Vec: Mutual Funds Similarity using Graph Learning
• [quant-ph]Accelerating variational quantum algorithms with multiple quantum processors
• [quant-ph]Provably efficient machine learning for quantum many-body problems
• [stat.AP]Identifying Hidden Visits from Sparse Call Detail Record Data
• [stat.AP]Optimal sequential sampling design for environmental extremes
• [stat.AP]Practical strategies for GEV-based regression models for extremes
• [stat.AP]Two-sample tests for repeated measurements of histogram objects with applications to wearable device data
• [stat.CO]Black Box Variational Bayes Model Averaging
• [stat.ME]A Note on the Accuracy of Variational Bayes in State Space Models: Inference and Prediction
• [stat.ME]Bootstrap confidence intervals for multiple change points based on moving sum procedures
• [stat.ME]Item Response Thresholds Models
• [stat.ME]Multiple Testing for Composite Null with FDR Control Guarantee
• [stat.ME]Online Updating Statistics for Heterogenous Updating Regressions via Homogenization Techniques
• [stat.ME]Regression Trees and Ensembles for Cumulative Incidence Functions
• [stat.ML]Fundamental limits for learning hidden Markov model parameters
• [stat.ML]Label Disentanglement in Partition-based Extreme Multilabel Classification
• [stat.ML]MIxBN: library for learning Bayesian networks from mixed data
• [stat.ML]Multi-objective Asynchronous Successive Halving
• [stat.ML]Quantization Aware Training, ERNIE and Kurtosis Regularizer: a short empirical study

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• [astro-ph.CO]Fast, high-fidelity Lyman $今日学术视野(2021.6.26) - 图3$ forests with convolutional neural networks
Peter Harrington, Mustafa Mustafa, Max Dornfest, Benjamin Horowitz, Zarija Lukić
http://arxiv.org/abs/2106.12662v1

• [cond-mat.mtrl-sci]Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles
Chenru Duan, Shuxin Chen, Michael G. Taylor, Fang Liu, Heather J. Kulik
http://arxiv.org/abs/2106.13109v1

• [cond-mat.stat-mech]Tensor networks for unsupervised machine learning
Jing Liu, Sujie Li, Jiang Zhang, Pan Zhang
http://arxiv.org/abs/2106.12974v1

• [cs.AI]Awareness Logic: Kripke Lattices as a Middle Ground between Syntactic and Semantic Models
Gaia Belardinelli, Rasmus K. Rendsvig
http://arxiv.org/abs/2106.12868v1

• [cs.AI]Extraction of common conceptual components from multiple ontologies
Luigi Asprino, Valentina Anita Carriero, Valentina Presutti
http://arxiv.org/abs/2106.12831v1

• [cs.AI]Human-in-the-loop model explanation via verbatim boundary identification in generated neighborhoods
Xianlong Zeng, Fanghao Song, Zhongen Li, Krerkkiat Chusap, Chang Liu
http://arxiv.org/abs/2106.13093v1

• [cs.AI]The Option Keyboard: Combining Skills in Reinforcement Learning
André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan Hunt, Shibl Mourad, David Silver, Doina Precup
http://arxiv.org/abs/2106.13105v1

• [cs.AR]A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
Petar Jokic, Erfan Azarkhish, Andrea Bonetti, Marc Pons, Stephane Emery, Luca Benini
http://arxiv.org/abs/2106.12810v1

• [cs.CL]A comprehensive empirical analysis on cross-domain semantic enrichment for detection of depressive language
Nawshad Farruque, Randy Goebel, Osmar Zaiane
http://arxiv.org/abs/2106.12797v1

• [cs.CL]AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry
Yannis Katsis, Saneem Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj, Mustafa Canim, Michael Glass, Alfio Gliozzo, Feifei Pan, Jaydeep Sen, Karthik Sankaranarayanan, Soumen Chakrabarti
http://arxiv.org/abs/2106.12944v1

• [cs.CL]An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning
Jia Wei Chong, Zhiyuan Chen, Mei Shin Oh
http://arxiv.org/abs/2106.12744v1

• [cs.CL]Bidding via Clustering Ads Intentions: an Efficient Search Engine Marketing System for E-commerce
Cheng Jie, Da Xu, Zigeng Wang, Lu Wang, Wei Shen
http://arxiv.org/abs/2106.12700v1

• [cs.CL]Charformer: Fast Character Transformers via Gradient-based Subword Tokenization
Yi Tay, Vinh Q. Tran, Sebastian Ruder, Jai Gupta, Hyung Won Chung, Dara Bahri, Zhen Qin, Simon Baumgartner, Cong Yu, Donald Metzler
http://arxiv.org/abs/2106.12672v1

• [cs.CL]Clinical Named Entity Recognition using Contextualized Token Representations
Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang
http://arxiv.org/abs/2106.12608v1

• [cs.CL]Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction
Maria Ryskina, Eduard Hovy, Taylor Berg-Kirkpatrick, Matthew R. Gormley
http://arxiv.org/abs/2106.12698v1

• [cs.CL]Dealing with training and test segmentation mismatch: FBK@IWSLT2021
Sara Papi, Marco Gaido, Matteo Negri, Marco Turchi
http://arxiv.org/abs/2106.12607v1

• [cs.CL]End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
Josef Jon, João Paulo Aires, Dušan Variš, Ondřej Bojar
http://arxiv.org/abs/2106.12398v2

• [cs.CL]Evaluation of Representation Models for Text Classification with AutoML Tools
Sebastian Brändle, Marc Hanussek, Matthias Blohm, Maximilien Kintz
http://arxiv.org/abs/2106.12798v1

• [cs.CL]Exploring Self-Identified Counseling Expertise in Online Support Forums
Allison Lahnala, Yuntian Zhao, Charles Welch, Jonathan K. Kummerfeld, Lawrence An, Kenneth Resnicow, Rada Mihalcea, Verónica Pérez-Rosas
http://arxiv.org/abs/2106.12976v1

• [cs.CL]Modeling Diagnostic Label Correlation for Automatic ICD Coding
Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen
http://arxiv.org/abs/2106.12800v1

• [cs.CL]Multilingual transfer of acoustic word embeddings improves when training on languages related to the target zero-resource language
Christiaan Jacobs, Herman Kamper
http://arxiv.org/abs/2106.12834v1

• [cs.CL]OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
Chandrahas, Partha Pratim Talukdar
http://arxiv.org/abs/2106.12806v1

• [cs.CL]On the Influence of Machine Translation on Language Origin Obfuscation
Benjamin Murauer, Michael Tschuggnall, Günther Specht
http://arxiv.org/abs/2106.12830v1

• [cs.CL]QASR: QCRI Aljazeera Speech Resource — A Large Scale Annotated Arabic Speech Corpus
Hamdy Mubarak, Amir Hussein, Shammur Absar Chowdhury, Ahmed Ali
http://arxiv.org/abs/2106.13000v1

• [cs.CL]Splitting EUD graphs into trees: A quick and clatty approach
Mark Anderson, Carlos Gómez Rodríguez
http://arxiv.org/abs/2106.13155v1

• [cs.CL]TagRuler: Interactive Tool for Span-Level Data Programming by Demonstration
Dongjin Choi, Sara Evensen, Çağatay Demiralp, Estevam Hruschka
http://arxiv.org/abs/2106.12767v1

• [cs.CL]Towards Understanding and Mitigating Social Biases in Language Models
Paul Pu Liang, Chiyu Wu, Louis-Philippe Morency, Ruslan Salakhutdinov
http://arxiv.org/abs/2106.13219v1

• [cs.CL]Where are we in semantic concept extraction for Spoken Language Understanding?
Sahar Ghannay, Antoine Caubrière, Salima Mdhaffar, Gaëlle Laperrière, Bassam Jabaian, Yannick Estève
http://arxiv.org/abs/2106.13045v1

• [cs.CR]DeepAuditor: Distributed Online Intrusion Detection System for IoT devices via Power Side-channel Auditing
Woosub Jung, Yizhou Feng, Sabbir Ahmed Khan, Chunsheng Xin, Danella Zhao, Gang Zhou
http://arxiv.org/abs/2106.12753v1

• [cs.CV]A Simple and Strong Baseline: Progressively Region-based Scene Text Removal Networks
Yuxin Wang, Hongtao Xie, Shancheng Fang, Yadong Qu, Yongdong Zhang
http://arxiv.org/abs/2106.13029v1

• [cs.CV]A Transformer-based Cross-modal Fusion Model with Adversarial Training for VQA Challenge 2021
Ke-Han Lu, Bo-Han Fang, Kuan-Yu Chen
http://arxiv.org/abs/2106.13033v1

• [cs.CV]All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection
Meng Cao, Can Zhang, Dongming Yang, Yuexian Zou
http://arxiv.org/abs/2106.12720v1

• [cs.CV]Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation
Fahim Faisal Niloy, M. Ashraful Amin, Amin Ahsan Ali, AKM Mahbubur Rahman
http://arxiv.org/abs/2106.12902v1

• [cs.CV]AutoAdapt: Automated Segmentation Network Search for Unsupervised Domain Adaptation
Xueqing Deng, Yi Zhu, Yuxin Tian, Shawn Newsam
http://arxiv.org/abs/2106.13227v1

• [cs.CV]ChaLearn Looking at People: Inpainting and Denoising challenges
Sergio Escalera, Marti Soler, Stephane Ayache, Umut Guclu, Jun Wan, Meysam Madadi, Xavier Baro, Hugo Jair Escalante, Isabelle Guyon
http://arxiv.org/abs/2106.13071v1

• [cs.CV]Class agnostic moving target detection by color and location prediction of moving area
Zhuang He, Qi Li, Huajun Feng, Zhihai Xu
http://arxiv.org/abs/2106.12966v1

• [cs.CV]Conditional Deformable Image Registration with Convolutional Neural Network
Tony C. W. Mok, Albert C. S. Chung
http://arxiv.org/abs/2106.12673v1

• [cs.CV]Continual Novelty Detection
Rahaf Aljundi, Daniel Olmeda Reino, Nikolay Chumerin, Richard E. Turner
http://arxiv.org/abs/2106.12964v1

• [cs.CV]Deep Fake Detection: Survey of Facial Manipulation Detection Solutions
Samay Pashine, Sagar Mandiya, Praveen Gupta, Rashid Sheikh
http://arxiv.org/abs/2106.12605v1

• [cs.CV]Depth Confidence-aware Camouflaged Object Detection
Jing Zhang, Yunqiu Lv, Mochu Xiang, Aixuan Li, Yuchao Dai, Yiran Zhong
http://arxiv.org/abs/b1b
bs/2106.13217v1
bs/2106.13217v1)

• [cs.CV]Detection of Deepfake Videos Using Long Distance Attention
Wei Lu, Lingyi Liu, Junwei Luo, Xianfeng Zhao, Yicong Zhou, Jiwu Huang
http://arxiv.org/abs/2106.12832v1

• [cs.CV]Differential Morph Face Detection using Discriminative Wavelet Sub-bands
Baaria Chaudhary, Poorya Aghdaie, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi
http://arxiv.org/abs/2106.13178v1

• [cs.CV]Driver-centric Risk Object Identification
Chengxi Li, Stanley H. Chan, Yi-Ting Chen
http://arxiv.org/abs/2106.13201v1

• [cs.CV]Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data
Indrani Sarkar, Indranil Maji, Charitha Omprakash, Sebastian Stober, Sanja Mikulovic, Pavol Bauer
http://arxiv.org/abs/2106.12993v1

• [cs.CV]Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers
Katelyn Morrison, Benjamin Gilby, Colton Lipchak, Adam Mattioli, Adriana Kovashka
http://arxiv.org/abs/2106.13122v1

• [cs.CV]Exploring Stronger Feature for Temporal Action Localization
Zhiwu Qing, Xiang Wang, Ziyuan Huang, Yutong Feng, Shiwei Zhang, jianwen Jiang, Mingqian Tang, Changxin Gao, Nong Sang
http://arxiv.org/abs/2106.13014v1

• [cs.CV]FaDIV-Syn: Fast Depth-Independent View Synthesis
Andre Rochow, Max Schwarz, Michael Weinmann, Sven Behnke
http://arxiv.org/abs/2106.13139v1

• [cs.CV]Fast Monte Carlo Rendering via Multi-Resolution Sampling
Qiqi Hou, Zhan Li, Carl S Marshall, Selvakumar Panneer, Feng Liu
http://arxiv.org/abs/2106.12802v1

• [cs.CV]Feature Completion for Occluded Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2106.12733v1

• [cs.CV]FitVid: Overfitting in Pixel-Level Video Prediction
Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair, Sergey Levine, Chelsea Finn, Dumitru Erhan
http://arxiv.org/abs/2106.13195v1

• [cs.CV]Florida Wildlife Camera Trap Dataset
Crystal Gagne, Jyoti Kini, Daniel Smith, Mubarak Shah
http://arxiv.org/abs/2106.12628v1

• [cs.CV]Frequency Domain Convolutional Neural Network: Accelerated CNN for Large Diabetic Retinopathy Image Classification
Ee Fey Goh, ZhiYuan Chen, Wei Xiang Lim
http://arxiv.org/abs/2106.12736v1

• [cs.CV]GaussiGAN: Controllable Image Synthesis with 3D Gaussians from Unposed Silhouettes
Youssef A. Mejjati, Isa Milefchik, Aaron Gokaslan, Oliver Wang, Kwang In Kim, James Tompkin
http://arxiv.org/abs/2106.13215v1

• [cs.CV]Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging
Liangqiong Qu, Niranjan Balachandar, Miao Zhang, Daniel Rubin
http://arxiv.org/abs/2106.13208v1

• [cs.CV]Handwritten Digit Recognition using Machine and Deep Learning Algorithms
Samay Pashine, Ritik Dixit, Rishika Kushwah
http://arxiv.org/abs/2106.12614v1

• [cs.CV]Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural Networks
Anna Nedorubova, Alena Kadyrova, Aleksey Khlyupin
http://arxiv.org/abs/2106.12666v1

• [cs.CV]HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
Keunhong Park, Utkarsh Sinha, Peter Hedman, Jonathan T. Barron, Sofien Bouaziz, Dan B Goldman, Ricardo Martin-Brualla, Steven M. Seitz
http://arxiv.org/abs/2106.13228v1

• [cs.CV]Learning by Planning: Language-Guided Global Image Editing
Jing Shi, Ning Xu, Yihang Xu, Trung Bui, Franck Dernoncourt, Chenliang Xu
http://arxiv.org/abs/2106.13156v1

• [cs.CV]MatchVIE: Exploiting Match Relevancy between Entities for Visual Information Extraction
Guozhi Tang, Lele Xie, Lianwen Jin, Jiapeng Wang, Jingdong Chen, Zhen Xu, Qianying Wang, Yaqiang Wu, Hui Li
http://arxiv.org/abs/2106.12940v1

• [cs.CV]Multi-Modal 3D Object Detection in Autonomous Driving: a Survey
Yingjie Wang, Qiuyu Mao, Hanqi Zhu, Yu Zhang, Jianmin Ji, Yanyong Zhang
http://arxiv.org/abs/2106.12735v1

• [cs.CV]Neural Fashion Image Captioning : Accounting for Data Diversity
Gilles Hacheme, Noureini Sayouti
http://arxiv.org/abs/2106.12154v2

• [cs.CV]Planetary UAV localization based on Multi-modal Registration with Pre-existing Digital Terrain Model
Xue Wan, Yuanbin Shao, Shengyang Li
http://arxiv.org/abs/2106.12738v1

• [cs.CV]Regularisation for PCA- and SVD-type matrix factorisations
Abdolrahman Khoshrou, Eric J. Pauwels
http://arxiv.org/abs/2106.12955v1

• [cs.CV]Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset
Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu
http://arxiv.org/abs/2106.12991v1

• [cs.CV]SGTBN: Generating Dense Depth Maps from Single-Line LiDAR
Hengjie Lu, Shugong Xu, Shan Cao
http://arxiv.org/abs/2106.12994v1

• [cs.CV]Self-Supervised Monocular Depth Estimation of Untextured Indoor Rotated Scenes
Benjamin Keltjens, Tom van Dijk, Guido de Croon
http://arxiv.org/abs/2106.12958v1

• [cs.CV]Sparse Needlets for Lighting Estimation with Spherical Transport Loss
Fangneng Zhan, Changgong Zhang, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao
http://arxiv.org/abs/2106.13090v1

• [cs.CV]Topological Semantic Mapping by Consolidation of Deep Visual Features
Ygor C. N. Sousa, Hansenclever F. Bassani
http://arxiv.org/abs/2106.12709v1

• [cs.CV]Towards Automatic Speech to Sign Language Generation
Parul Kapoor, Rudrabha Mukhopadhyay, Sindhu B Hegde, Vinay Namboodiri, C V Jawahar
http://arxiv.org/abs/2106.12790v1

• [cs.CV]Unsupervised Deep Image Stitching: Reconstructing Stitched Features to Images
Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao
http://arxiv.org/abs/2106.12859v1

• [cs.CV]Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks
Takuhiro Kaneko
http://arxiv.org/abs/2106.13041v1

• [cs.CV]VOLO: Vision Outlooker for Visual Recognition
Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan
http://arxiv.org/abs/2106.13112v1

• [cs.CV]Video Swin Transformer
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
http://arxiv.org/abs/2106.13230v1

• [cs.CV]What makes visual place recognition easy or hard?
Stefan Schubert, Peer Neubert
http://arxiv.org/abs/2106.12671v1

• [cs.CV]When Differential Privacy Meets Interpretability: A Case Study
Rakshit Naidu, Aman Priyanshu, Aadith Kumar, Sasikanth Kotti, Haofan Wang, Fatemehsadat Mireshghallah
http://arxiv.org/abs/2106.13203v1

• [cs.CY]“Part Man, Part Machine, All Cop”: Automation in Policing
Angelika Adensamer, Lukas Daniel Klausner
http://arxiv.org/abs/2106.12794v1

• [cs.CY]CCC/Code 8.7: Applying AI in the Fight Against Modern Slavery
Nadya Bliss, Mark Briers, Alice Eckstein, James Goulding, Daniel P. Lopresti, Anjali Mazumder, Gavin Smith
http://arxiv.org/abs/2106.13186v1

• [cs.CY]Trust Me If You Can: Trusted Transformation Between (JSON) Schemas to Support Global Authentication of Education Credentials
Stefan More, Peter Grassberger, Felix Hörandner, Andreas Abraham, Lukas Daniel Klausner
http://arxiv.org/abs/2106.12793v1

• [cs.DB]A Novel Approach to Discover Switch Behaviours in Process Mining
Yang Lu, Qifan Chen, Simon Poon
http://arxiv.org/abs/2106.12765v1

• [cs.DC]Choice of Parallelism: Multi-GPU Driven Pipeline for Huge Academic Backbone Network
Ruo Ando, Youki Kadobayashi, Hiroki Takakura
http://arxiv.org/abs/2106.12863v1

• [cs.DC]Railgun: managing large streaming windows under MAD requirements
Ana Sofia Gomes, João Oliveirinha, Pedro Cardoso, Pedro Bizarro
http://arxiv.org/abs/2106.12626v1

• [cs.DC]Self-Stabilizing Phase Clocks and the Adaptive Majority Problem
Petra Berenbrink, Felix Biermeier, Christopher Hahn, Dominik Kaaser
http://arxiv.org/abs/2106.13002v1

• [cs.DC]Stream-based State-Machine Replication
Laura Lawniczak, Tobias Distler
http://arxiv.org/abs/2106.13019v1

• [cs.DC]Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
Sebastiaan Alvarez Rodriguez, Jayjeet Chakraborty, Aaron Chu, Ivo Jimenez, Jeff LeFevre, Carlos Maltzahn, Alexandru Uta
http://arxiv.org/abs/2106.13020v1

• [cs.DL]Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs
Angelo Salatino, Andrea Mannocci, Francesco Osborne
http://arxiv.org/abs/2106.12875v1

• [cs.DL]Modelling Art Interpretation and Meaning. A Data Model for Describing Iconology and Iconography
S. Baroncini, M. Daquino, F. Tomasi
http://arxiv.org/abs/2106.12967v1

• [cs.DM]Kemeny ranking is NP-hard for 2-dimensional Euclidean preferences
Bruno Escoffier, Olivier Spanjaard, Magdalena Tydrichova
http://arxiv.org/abs/2106.13054v1

• [cs.GT]Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
Stefanos Leonardos, Georgios Piliouras, Kelly Spendlove
http://arxiv.org/abs/2106.12928v1

• [cs.HC]#StayHome Playing LoL — Analyzing Players’ Activity and Social Bonds in League of Legends During Covid-19 Lockdowns
Simone Petrosino, Enrica Loria, Johanna Pirker
http://arxiv.org/abs/2106.12277v2

• [cs.HC]Pattern-based Visualization of Knowledge Graphs
Luigi Asprino, Christian Colonna, Misael Mongiovì, Margherita Porena, Valentina Presutti
http://arxiv.org/abs/2106.12857v1

• [cs.IR]Discovering novel drug-supplement interactions using a dietary supplements knowledge graph generated from the biomedical literature
Dalton Schutte, Jake Vasilakes, Anu Bompelli, Yuqi Zhou, Marcelo Fiszman, Hua Xu, Halil Kilicoglu, Jeffrey R. Bishop, Terrence Adam, Rui Zhang
http://arxiv.org/abs/2106.12741v1

• [cs.IR]Extreme Multi-label Learning for Semantic Matching in Product Search
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon
http://arxiv.org/abs/2106.12657v1

• [cs.IR]RikoNet: A Novel Anime Recommendation Engine
Badal Soni, Debangan Thakuria, Nilutpal Nath, Navarun Das, Bhaskarananda Boro
http://arxiv.org/abs/2106.12970v1

• [cs.IR]The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg
http://arxiv.org/abs/2106.12622v1

• [cs.IT]A partial information decomposition for discrete and continuous variables
Kyle Schick-Poland, Abdullah Makkeh, Aaron J. Gutknecht, Patricia Wollstadt, Anja Sturm, Michael Wibral
http://arxiv.org/abs/2106.12393v2

• [cs.IT]Decoding a class of maximum Hermitian rank metric codes
Wrya K. Kadir, Chunlei Li, Ferdinando Zullo
http://arxiv.org/abs/2106.12879v1

• [cs.IT]On the detection of low-rank signal in the presence of spatially uncorrelated noise: a frequency domain approach
Alexis Rosuel, Philippe Loubaton, Pascal Vallet, Xavier Mestre
http://arxiv.org/abs/2106.12815v1

• [cs.IT]Polycyclic Codes Associated with Trinomials: Good Codes and Open Questions
Nuh Aydin, Peihan Liu, Bryan Yoshino
http://arxiv.org/abs/2106.12065v1

• [cs.IT]Resource Management for Transmit Power Minimization in UAV-Assisted RIS HetNets Supported by Dual Connectivity
Ata Khalili, Ehsan Mohammadi Monfard, Shayan Zargari, Mohammad Reza. Javan, Nader Mokari, Eduard A. Jorswieck
http://arxiv.org/abs/2106.13174v1

• [cs.IT]Retrospective Interference Regeneration Schemes for Relay-Aided K-user MIMO Broadcast Networks
Jingfu Li, Wenjiang Feng, Weiheng Jiang
http://arxiv.org/abs/2106.12805v1

• [cs.IT]Study of Robust Adaptive Beamforming Based on Low-Complexity DFT Spatial Sampling
Saeed Mohammadzadeh, Vitor H. Nascimento, Rodrigo C. de Lamare, Osman Kukrer
http://arxiv.org/abs/2106.12663v1

• [cs.IT]Two New Kinds of Interference Alignment Schemes for Cellular K-user MIMO Downlink Networks
Jingfu Li, Wenjiang Feng, F. Richard Yu, Weiheng Jiang
http://arxiv.org/abs/2106.13022v1

• [cs.IT]User Scheduling for Precoded Satellite Systems with Individual Quality of Service Constraints
Trinh Van Chien, Eva Lagunas, Tung Hai Ta, Symeon Chatzinotas, Björn Ottersten
http://arxiv.org/abs/2106.12873v1

• [cs.IT]When Meta-Surfaces Meet Users: Optimization of Smart Radio Environments in 6G Sub-THz Communications
Alberto Tarable, Francesco Malandrino, Laura Dossi, Roberto Nebuloni, Giuseppe Virone, Alessandro Nordio
http://arxiv.org/abs/2106.13032v1

• [cs.LG]A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
Hanxi Sun, Jason Plawinski, Sajanth Subramaniam, Amir Jamaludin, Timor Kadir, Aimee Readie, Gregory Ligozio, David Ohlssen, Mark Baillie, Thibaud Coroller
http://arxiv.org/abs/2106.13199v1

• [cs.LG]A Fully Problem-Dependent Regret Lower Bound for Finite-Horizon MDPs
Andrea Tirinzoni, Matteo Pirotta, Alessandro Lazaric
http://arxiv.org/abs/2106.13013v1

• [cs.LG]A review of systematic selection of clustering algorithms and their evaluation
Marc Wegmann, Domenique Zipperling, Jonas Hillenbrand, Jürgen Fleischer
http://arxiv.org/abs/2106.12792v1

• [cs.LG]Abstraction of Markov Population Dynamics via Generative Adversarial Nets
Francesca Cairoli, Ginevra Carbone, Luca Bortolussi
http://arxiv.org/abs/2106.12981v1

• [cs.LG]Adversarial Examples in Multi-Layer Random ReLU Networks
Peter L. Bartlett, Sébastien Bubeck, Yeshwanth Cherapanamjeri
http://arxiv.org/abs/2106.12611v1

• [cs.LG]Alternative Microfoundations for Strategic Classification
Meena Jagadeesan, Celestine Mendler-Dünner, Moritz Hardt
http://arxiv.org/abs/2106.12705v1

• [cs.LG]Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang, Mingsheng Long
http://arxiv.org/abs/2106.13008v1

• [cs.LG]Automated Agriculture Commodity Price Prediction System with Machine Learning Techniques
Zhiyuan Chen, Howe Seng Goh, Kai Ling Sin, Kelly Lim, Nicole Ka Hei Chung, Xin Yu Liew
http://arxiv.org/abs/2106.12747v1

• [cs.LG]Bayesian Optimization with High-Dimensional Outputs
Wesley J. Maddox, Maximilian Balandat, Andrew Gordon Wilson, Eytan Bakshy
http://arxiv.org/abs/2106.12997v1

• [cs.LG]Best-Case Lower Bounds in Online Learning
Cristóbal Guzmán, Nishant A. Mehta, Ali Mortazavi
http://arxiv.org/abs/2106.12688v1

• [cs.LG]DCoM: A Deep Column Mapper for Semantic Data Type Detection
Subhadip Maji, Swapna Sourav Rout, Sudeep Choudhary
http://arxiv.org/abs/2106.12871v1

• [cs.LG]DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?
Archit Uniyal, Rakshit Naidu, Sasikanth Kotti, Sahib Singh, Patrik Joslin Kenfack, Fatemehsadat Mireshghallah, Andrew Trask
http://arxiv.org/abs/2106.12576v1

• [cs.LG]Density Constrained Reinforcement Learning
Zengyi Qin, Yuxiao Chen, Chuchu Fan
http://arxiv.org/abs/2106.12764v1

• [cs.LG]Distilling the Knowledge from Normalizing Flows
Dmitry Baranchuk, Vladimir Aliev, Artem Babenko
http://arxiv.org/abs/2106.12699v1

• [cs.LG]Efficient Tensor Contraction via Fast Count Sketch
Xingyu Cao, Jiani Liu
http://arxiv.org/abs/2106.13062v1

• [cs.LG]Evaluation of Saliency-based Explainability Method
Sam Zabdiel Sunder Samuel, Vidhya Kamakshi, Namrata Lodhi, Narayanan C Krishnan
http://arxiv.org/abs/2106.12773v1

• [cs.LG]FF-NSL: Feed-Forward Neural-Symbolic Learner
Daniel Cunnington, Mark Law, Alessandra Russo, Jorge Lobo
http://arxiv.org/abs/2106.13103v1

• [cs.LG]Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning
Samira Ziyadidegan, Moein Razavi, Homa Pesarakli, Amir Hossein Javid, Madhav Erraguntla
http://arxiv.org/abs/2106.12766v1

• [cs.LG]Fairness via Representation Neutralization
Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu
http://arxiv.org/abs/2106.12674v1

• [cs.LG]Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks
Jiaqing Xie, Rex Ying
http://arxiv.org/abs/2106.13061v1

• [cs.LG]Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
Zaiwei Chen, Siva Theja Maguluri, Sanjay Shakkottai, Karthikeyan Shanmugam
http://arxiv.org/abs/2106.12729v1

• [cs.LG]Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen
http://arxiv.org/abs/2106.13058v1

• [cs.LG]Improved Regret Bounds for Tracking Experts with Memory
James Robinson, Mark Herbster
http://arxiv.org/abs/2106.13021v1

• [cs.LG]Information Bottleneck: Exact Analysis of (Quantized) Neural Networks
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen
http://arxiv.org/abs/2106.12912v1

• [cs.LG]Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
Paul Pu Liang, Terrance Liu, Anna Cai, Michal Muszynski, Ryo Ishii, Nicholas Allen, Randy Auerbach, David Brent, Ruslan Salakhutdinov, Louis-Philippe Morency
http://arxiv.org/abs/2106.13213v1

• [cs.LG]Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport
Hengxu Lin, Dong Zhou, Weiqing Liu, Jiang Bian
http://arxiv.org/abs/2106.12950v1

• [cs.LG]Learnt Sparsification for Interpretable Graph Neural Networks
Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand
http://arxiv.org/abs/2106.12920v1

• [cs.LG]Leveraging semantically similar queries for ranking via combining representations
Hayden S. Helm, Marah Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali~Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe
http://arxiv.org/abs/2106.12621v1

• [cs.LG]Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions
Zhiheng Zhong, Minxian Xu, Maria Alejandra Rodriguez, Chengzhong Xu, Rajkumar Buyya
http://arxiv.org/abs/2106.12739v1

• [cs.LG]Meaningfully Explaining a Model’s Mistakes
Abubakar Abid, James Zou
http://arxiv.org/abs/2106.12723v1

• [cs.LG]Minimum sharpness: Scale-invariant parameter-robustness of neural networks
Hikaru Ibayashi, Takuo Hamaguchi, Masaaki Imaizum
http://arxiv.org/abs/2106.12612v1

• [cs.LG]Mix and Mask Actor-Critic Methods
Dom Huh
http://arxiv.org/abs/2106.13037v1

• [cs.LG]Model-Based Reinforcement Learning via Latent-Space Collocation
Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine
http://arxiv.org/abs/2106.13229v1

• [cs.LG]Neural Networks for Dengue Prediction: A Systematic Review
Kirstin Roster, Francisco A. Rodrigues
http://arxiv.org/abs/2106.12905v1

• [cs.LG]Online Verification of Deep Neural Networks under Domain or Weight Shift
Tianhao Wei, Changliu Liu
http://arxiv.org/abs/2106.12732v1

• [cs.LG]Personalized Federated Learning with Clustered Generalization
Xueyang Tang, Song Guo, Jingcai Guo
http://arxiv.org/abs/2106.13044v1

• [cs.LG]Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems
Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
http://arxiv.org/abs/2106.11929v2

• [cs.LG]Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
Xianlong Zeng, Simon Lin, Chang Liu
http://arxiv.org/abs/2106.13095v1

• [cs.LG]Privacy Threats Analysis to Secure Federated Learning
Yuchen Li, Yifan Bao, Liyao Xiang, Junhan Liu, Cen Chen, Li Wang, Xinbing Wang
http://arxiv.org/abs/2106.13076v1

• [cs.LG]Recurrent Neural Network from Adder’s Perspective: Carry-lookahead RNN
Haowei Jiang, Feiwei Qin, Jin Cao, Yong Peng, Yanli Shao
http://arxiv.org/abs/2106.12901v1

• [cs.LG]Reimagining GNN Explanations with ideas from Tabular Data
Anjali Singh, Shamanth R Nayak K, Balaji Ganesan
http://arxiv.org/abs/2106.12665v1

• [cs.LG]Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics
Diego Agudelo-España, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu
http://arxiv.org/abs/2106.13066v1

• [cs.LG]Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
http://arxiv.org/abs/2106.12807v1

• [cs.LG]Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy
Christopher J. Anders, David Neumann, Wojciech Samek, Klaus-Robert Müller, Sebastian Lapuschkin
http://arxiv.org/abs/2106.13200v1

• [cs.LG]Sparse Flows: Pruning Continuous-depth Models
Lucas Liebenwein, Ramin Hasani, Alexander Amini, Daniela Rus
http://arxiv.org/abs/2106.12718v1

• [cs.LG]Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
http://arxiv.org/abs/2106.12931v1

• [cs.LG]Symmetric Wasserstein Autoencoders
Sun Sun, Hongyu Guo
http://arxiv.org/abs/2106.13024v1

• [cs.LG]Task-agnostic Continual Learning with Hybrid Probabilistic Models
Polina Kirichenko, Mehrdad Farajtabar, Dushyant Rao, Balaji Lakshminarayanan, Nir Levine, Ang Li, Huiyi Hu, Andrew Gordon Wilson, Razvan Pascanu
http://arxiv.org/abs/2106.12772v1

• [cs.LG]Towards Biologically Plausible Convolutional Networks
Roman Pogodin, Yash Mehta, Timothy P. Lillicrap, Peter E. Latham
http://arxiv.org/abs/2106.13031v1

• [cs.LG]Towards Fully Interpretable Deep Neural Networks: Are We There Yet?
Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee
http://arxiv.org/abs/2106.13164v1

• [cs.LG]Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Xianlong Zeng, Simon Lin, Chang Liu
http://arxiv.org/abs/2106.12658v1

• [cs.LG]Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View
Shuang Li, Lu Wang, Xinyun Chen, Yixiang Fang, Yan Song
http://arxiv.org/abs/2106.13097v1

• [cs.LG]Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Rémi Munos, Michal Valko
http://arxiv.org/abs/2106.13125v1

• [cs.LG]Unsupervised Topic Segmentation of Meetings with BERT Embeddings
Alessandro Solbiati, Kevin Heffernan, Georgios Damaskinos, Shivani Poddar, Shubham Modi, Jacques Cali
http://arxiv.org/abs/2106.12978v1

• [cs.LG]Using machine learning techniques to predict hospital admission at the emergency department
Georgios Feretzakis, George Karlis, Evangelos Loupelis, Dimitris Kalles, Rea Chatzikyriakou, Nikolaos Trakas, Eugenia Karakou, Aikaterini Sakagianni, Lazaros Tzelves, Stavroula Petropoulou, Aikaterini Tika, Ilias Dalainas, Vasileios Kaldis
http://arxiv.org/abs/2106.12921v1

• [cs.LG]Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding
Zipeng Liu, Yang Wang, Jürgen Bernard, Tamara Munzner
http://arxiv.org/abs/2106.12839v1

• [cs.NE]Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning
Stephen Kelly, Tatiana Voegerl, Wolfgang Banzhaf, Cedric Gondro
http://arxiv.org/abs/2106.12659v1

• [cs.RO]Autonomous Driving Strategies at Intersections: Scenarios, State-of-the-Art, and Future Outlooks
Lianzhen Wei, Zirui Li, Jianwei Gong, Cheng Gong, Jiachen Li
http://arxiv.org/abs/2106.13052v1

• [cs.RO]Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control
Thai Duong, Nikolay Atanasov
http://arxiv.org/abs/2106.12782v1

• [cs.RO]Object Detection and Ranging for Autonomous Navigation of Mobile Robots
Md Ziaul Haque Zim, Nimai Chandra Das
http://arxiv.org/abs/2106.12701v1

• [cs.RO]Some Problems of Deployment and Navigation of Civilian Aerial Drones
Xiaohui Li
http://arxiv.org/abs/2106.13162v1

• [cs.SD]AudioCLIP: Extending CLIP to Image, Text and Audio
Andrey Guzhov, Federico Raue, Jörn Hees, Andreas Dengel
http://arxiv.org/abs/2106.13043v1

• [cs.SD]Non-Autoregressive TTS with Explicit Duration Modelling for Low-Resource Highly Expressive Speech
Raahil Shah, Kamil Pokora, Abdelhamid Ezzerg, Viacheslav Klimkov, Goeric Huybrechts, Bartosz Putrycz, Daniel Korzekwa, Thomas Merritt
http://arxiv.org/abs/2106.12896v1

• [cs.SD]SofaMyRoom: a fast and multiplatform “shoebox” room simulator for binaural room impulse response dataset generation
Roberto Barumerli, Daniele Bianchi, Michele Geronazzo, Federico Avanzini
http://arxiv.org/abs/2106.12992v1

• [cs.SI]BotRGCN: Twitter Bot Detection with Relational Graph Convolutional Networks
Shangbin Feng, Herun Wan, Ningnan Wang, Minnan Luo
http://arxiv.org/abs/2106.13092v1

• [cs.SI]Comparing the Structures and Characteristics of Different Game Social Networks — The Steam Case
Enrica Loria, Alessia Antelmi, Johanna Pirker
http://arxiv.org/abs/2106.12264v2

• [cs.SI]Real-time Spatio-temporal Event Detection on Geotagged Social Media
Yasmeen George, Shanika Karunasekera, Aaron Harwood, Kwan Hui Lim
http://arxiv.org/abs/2106.13121v1

• [cs.SI]SATAR: A Self-supervised Approach to Twitter Account Representation Learning and its Application in Bot Detection
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
http://arxiv.org/abs/2106.13089v1

• [cs.SI]TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark
Shangbin Feng, Herun Wan, Ningnan Wang, Jundong Li, Minnan Luo
http://arxiv.org/abs/2106.13088v1

• [econ.EM]Constrained Classification and Policy Learning
Toru Kitagawa, Shosei Sakaguchi, Aleksey Tetenov
http://arxiv.org/abs/2106.12886v1

• [econ.GN]The gig economy in Poland: evidence based on mobile big data
Beręsewicz Maciej, Nikulin Dagmara, Szymkowiak Marcin, Wilak Kamil
http://arxiv.org/abs/2106.12827v1

• [eess.IV]A Global Appearance and Local Coding Distortion based Fusion Framework for CNN based Filtering in Video Coding
Jian Yue, Yanbo Gao, Shuai Li, Hui Yuan, Frédéric Dufaux
http://arxiv.org/abs/2106.12746v1

• [eess.IV]A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li, Guangming Zhu, Cong Hua, Mingtao Feng, BasheerBennamoun, Ping Li, Xiaoyuan Lu, Juan Song, Peiyi Shen, Xu Xu, Lin Mei, Liang Zhang, Syed Afaq Ali Shah, Mohammed Bennamoun
http://arxiv.org/abs/2106.12864v1

• [eess.IV]AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis
Rosly Boy Lyngdoh, Anand S Sahadevan, Touseef Ahmad, Pradyuman Singh Rathore, Manoj Mishra, Praveen Kumar Gupta, Arundhati Misra
http://arxiv.org/abs/2106.12776v1

• [eess.IV]Continuous-Time Deep Glioma Growth Models
Jens Petersen, Fabian Isensee, Gregor Köhler, Paul F. Jäger, David Zimmerer, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Vollmuth, Klaus H. Maier-Hein
http://arxiv.org/abs/2106.12917v1

• [eess.IV]High-resolution Image Registration of Consecutive and Re-stained Sections in Histopathology
Johannes Lotz, Nick Weiss, Jeroen van der Laak, StefanHeldmann
http://arxiv.org/abs/2106.13150v1

• [eess.IV]Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI
Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig
http://arxiv.org/abs/2106.13188v1

• [eess.IV]Rate Distortion Characteristic Modeling for Neural Image Compression
Chuanmin Jia, Ziqing Ge, Shanshe Wang, Siwei Ma, Wen Gao
http://arxiv.org/abs/2106.12954v1

• [eess.IV]VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu
http://arxiv.org/abs/2106.12930v1

• [eess.SP]ATP-Net: An Attention-based Ternary Projection Network For Compressed Sensing
Guanxiong Nie, Yajian Zhou
http://arxiv.org/abs/2106.12728v1

• [eess.SP]Integration of Communication and Sensing in 6G: a Joint Industrial and Academic Perspective
Henk Wymeersch, Deep Shrestha, Carlos Morais de Lima, Vijaya Yajnanarayana, Björn Richerzhagen, Musa Furkan Keskin, Kim Schindhelm, Alejandro Ramirez, Andreas Wolfgang, Mar Francis de Guzman, Katsuyuki Haneda, Tommy Svensson, Robert Baldemair, Stefan Parkvall
http://arxiv.org/abs/2106.13023v1

• [eess.SP]Orthogonal Time Frequency Space Modulation: A Discrete Zak Transform Approach
Franz Lampel, Alex Alvarado, Frans M. J. Willems
http://arxiv.org/abs/2106.12828v1

• [eess.SY]Comparison between safety methods control barrier function vs. reachability analysis
Zhichao Li
http://arxiv.org/abs/2106.13176v1

• [gr-qc]Real-time gravitational-wave science with neural posterior estimation
Maximilian Dax, Stephen R. Green, Jonathan Gair, Jakob H. Macke, Alessandra Buonanno, Bernhard Schölkopf
http://arxiv.org/abs/2106.12594v1

• [math.AG]The leading coefficient of Lascoux polynomials
Alessio Borzí, Xiangying Chen, Harshit J. Motwani, Lorenzo Venturello, Martin Vodička
http://arxiv.org/abs/2106.13104v1

• [math.AG]Weierstrass semigroup at $今日学术视野(2021.6.26) - 图4$ rational points in maximal curves which cannot be covered by the Hermitian curve
Alonso Sepúlveda Castellanos, Maria Bras-Amorós
http://arxiv.org/abs/2106.13159v1

• [math.OC]A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear Equality Constrained Optimization with Rank-Deficient Jacobians
Albert S. Berahas, Frank E. Curtis, Michael J. O’Neill, Daniel P. Robinson
http://arxiv.org/abs/2106.13015v1

• [math.OC]All unconstrained strongly convex problems are weakly simplicial
Yusuke Mizota, Naoki Hamada, Shunsuke Ichiki
http://arxiv.org/abs/2106.12704v1

• [math.OC]GNMR: A provable one-line algorithm for low rank matrix recovery
Pini Zilber, Boaz Nadler
http://arxiv.org/abs/2106.12933v1

• [math.OC]Stochastic Projective Splitting: Solving Saddle-Point Problems with Multiple Regularizers
Patrick R. Johnstone, Jonathan Eckstein, Thomas Flynn, Shinjae Yoo
http://arxiv.org/abs/2106.13067v1

• [math.OC]Understanding Modern Techniques in Optimization: Frank-Wolfe, Nesterov’s Momentum, and Polyak’s Momentum
Jun-Kun Wang
http://arxiv.org/abs/2106.12923v1

• [math.PR]Dispersion indexes based on bivariate measures of uncertainty
Francesco Buono, Camilla Calì, Maria Longobardi
http://arxiv.org/abs/2106.12292v1

• [math.PR]Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs
Tudor Manole, Jonathan Niles-Weed
http://arxiv.org/abs/2106.13181v1

• [math.ST]Cauchy or not Cauchy? New goodness-of-fit tests for the Cauchy distribution
Bruno Ebner, Lena Eid, Bernhard Klar
http://arxiv.org/abs/2106.13073v1

• [math.ST]Multi-Reference Alignment for sparse signals, Uniform Uncertainty Principles and the Beltway Problem
Subhro Ghosh, Philippe Rigollet
http://arxiv.org/abs/2106.12996v1

• [math.ST]Optimal estimation of coarse structural nested mean models with application to initiating ART in HIV infected patients
Judith J. Lok, Department of Mathematics, Statistics, Boston University
http://arxiv.org/abs/2106.12677v1

• [math.ST]Three rates of convergence or separation via U-statistics in a dependent framework
Quentin Duchemin, Yohann De Castro, Claire Lacour
http://arxiv.org/abs/2106.12796v1

• [physics.bio-ph]Advancing biological super-resolution microscopy through deep learning: a brief review
Tianjie Yang, Yaoru Luo, Wei Ji, Ge Yang
http://arxiv.org/abs/2106.13064v1

• [physics.comp-ph]Lettuce: PyTorch-based Lattice Boltzmann Framework
Mario Christopher Bedrunka, Dominik Wilde, Martin Kliemank, Dirk Reith, Holger Foysi, Andreas Krämer
http://arxiv.org/abs/2106.12929v1

• [physics.comp-ph]Machine learning structure preserving brackets for forecasting irreversible processes
Kookjin Lee, Nathaniel A. Trask, Panos Stinis
http://arxiv.org/abs/2106.12619v1

• [physics.flu-dyn]Neural ODE to model and prognose thermoacoustic instability
Jayesh Dhadphale, Vishnu R. Unni, Abhishek Saha, R. I. Sujith
http://arxiv.org/abs/2106.12758v1

• [physics.soc-ph]Graphlets in multilayer networks
Sallamari Sallmen, Tarmo Nurmi, Mikko Kivelä
http://arxiv.org/abs/2106.13011v1

• [q-bio.NC]On the relationship between predictive coding and backpropagation
Robert Rosenbaum
http://arxiv.org/abs/2106.13082v1

• [q-bio.QM]SALT: Sea lice Adaptive Lattice Tracking — An Unsupervised Approach to Generate an Improved Ocean Model
Ju An Park, Vikram Voleti, Kathryn E. Thomas, Alexander Wong, Jason L. Deglint
http://arxiv.org/abs/2106.13202v1

• [q-fin.ST]Fund2Vec: Mutual Funds Similarity using Graph Learning
Vipul Satone, Dhruv Desai, Dhagash Mehta
http://arxiv.org/abs/2106.12987v1

• [quant-ph]Accelerating variational quantum algorithms with multiple quantum processors
Yuxuan Du, Yang Qian, Dacheng Tao
http://arxiv.org/abs/2106.12819v1

• [quant-ph]Provably efficient machine learning for quantum many-body problems
Hsin-Yuan Huang, Richard Kueng, Giacomo Torlai, Victor V. Albert, John Preskill
http://arxiv.org/abs/2106.12627v1

• [stat.AP]Identifying Hidden Visits from Sparse Call Detail Record Data
Zhan Zhao, Haris N. Koutsopoulos, Jinhua Zhao
http://arxiv.org/abs/2106.12885v1

• [stat.AP]Optimal sequential sampling design for environmental extremes
Raphaël de Fondeville, Matthieu Wilhelm
http://arxiv.org/abs/2106.13077v1

• [stat.AP]Practical strategies for GEV-based regression models for extremes
Daniela Castro-Camilo, Raphaël Huser, Håvard Rue
http://arxiv.org/abs/2106.13110v1

• [stat.AP]Two-sample tests for repeated measurements of histogram objects with applications to wearable device data
Jingru Zhang, Kathleen R. Merikangas, Hongzhe Li, Haochang Shou
http://arxiv.org/abs/2106.12768v1

• [stat.CO]Black Box Variational Bayes Model Averaging
Vojtech Kejzlar, Shrijita Bhattacharya, Mookyong Son, Tapabrata Maiti
http://arxiv.org/abs/2106.12652v1

• [stat.ME]A Note on the Accuracy of Variational Bayes in State Space Models: Inference and Prediction
David T. Frazier, Ruben Loaiza-Maya, Gael M. Martin
http://arxiv.org/abs/2106.12262v1

• [stat.ME]Bootstrap confidence intervals for multiple change points based on moving sum procedures
Haeran Cho, Claudia Kirch
http://arxiv.org/abs/2106.12844v1

• [stat.ME]Item Response Thresholds Models
Gerhard Tutz
http://arxiv.org/abs/2106.12784v1

• [stat.ME]Multiple Testing for Composite Null with FDR Control Guarantee
Ran Dai, Cheng Zheng
http://arxiv.org/abs/2106.12719v1

• [stat.ME]Online Updating Statistics for Heterogenous Updating Regressions via Homogenization Techniques
Lin Lu, Lu Jun, Li Weiyu
http://arxiv.org/abs/2106.12370v2

• [stat.ME]Regression Trees and Ensembles for Cumulative Incidence Functions
Youngjoo Cho, Annette M. Molinaro, Chen Hu, Robert L. Strawderman
http://arxiv.org/abs/2106.12948v1

• [stat.ML]Fundamental limits for learning hidden Markov model parameters
Kweku Abraham, Zacharie Naulet, Elisabeth Gassiat
http://arxiv.org/abs/2106.12936v1

• [stat.ML]Label Disentanglement in Partition-based Extreme Multilabel Classification
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
http://arxiv.org/abs/2106.12751v1

• [stat.ML]MIxBN: library for learning Bayesian networks from mixed data
Anna V. Bubnova, Irina Deeva, Anna V. Kalyuzhnaya
http://arxiv.org/abs/2106.13194v1

• [stat.ML]Multi-objective Asynchronous Successive Halving
Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau
http://arxiv.org/abs/2106.12639v1

• [stat.ML]Quantization Aware Training, ERNIE and Kurtosis Regularizer: a short empirical study
Andrea Zanetti
http://arxiv.org/abs/2106.13035v1