cs.AI - 人工智能
    cs.CE - 计算工程、 金融和科学
    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.DC - 分布式、并行与集群计算
    cs.DS - 数据结构与算法
    cs.GT - 计算机科学与博弈论
    cs.HC - 人机接口
    cs.IR - 信息检索
    cs.IT - 信息论
    cs.LG - 自动学习
    cs.NE - 神经与进化计算
    cs.NI - 网络和互联网体系结构
    cs.RO - 机器人学
    cs.SD - 声音处理
    cs.SE - 软件工程
    cs.SI - 社交网络与信息网络
    econ.GN - 一般经济学
    econ.TH - 理论经济学
    eess.AS - 语音处理
    eess.IV - 图像与视频处理
    eess.SP - 信号处理
    math.NA - 数值分析
    math.OC - 优化与控制
    math.ST - 统计理论
    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
    stat.AP - 应用统计
    stat.ME - 统计方法论
    stat.ML - (统计)机器学习

    • [cs.AI]A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
    • [cs.AI]CityNet: A Multi-city Multi-modal Dataset for Smart City Applications
    • [cs.AI]Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study
    • [cs.AI]Fact Check: Analyzing Financial Events from Multilingual News Sources
    • [cs.AI]Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning
    • [cs.AI]Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem
    • [cs.AI]The Threat of Offensive AI to Organizations
    • [cs.CE]Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
    • [cs.CL]A Conditional Splitting Framework for Efficient Constituency Parsing
    • [cs.CL]Alzheimer’s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
    • [cs.CL]An Analysis of the Recent Visibility of the SigDial Conference
    • [cs.CL]AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction
    • [cs.CL]Automatically Select Emotion for Response via Personality-affected Emotion Transition
    • [cs.CL]ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
    • [cs.CL]Cross-lingual alignments of ELMo contextual embeddings
    • [cs.CL]Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERT
    • [cs.CL]End-to-End Spoken Language Understanding using RNN-Transducer ASR
    • [cs.CL]Evaluation of Thematic Coherence in Microblogs
    • [cs.CL]Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
    • [cs.CL]Genre determining prediction: Non-standard TAM marking in football language
    • [cs.CL]HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
    • [cs.CL]IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task
    • [cs.CL]Improving Factual Consistency of Abstractive Summarization on Customer Feedback
    • [cs.CL]Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
    • [cs.CL]Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
    • [cs.CL]Mixed Cross Entropy Loss for Neural Machine Translation
    • [cs.CL]New Arabic Medical Dataset for Diseases Classification
    • [cs.CL]News Article Retrieval in Context for Event-centric Narrative Creation
    • [cs.CL]O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
    • [cs.CL]On the Power of Saturated Transformers: A View from Circuit Complexity
    • [cs.CL]Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer
    • [cs.CL]SAT Based Analogy Evaluation Framework for Persian Word Embeddings
    • [cs.CL]The MultiBERTs: BERT Reproductions for Robustness Analysis
    • [cs.CL]What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?
    • [cs.CL]Whose Opinions Matter? Perspective-aware Models to Identify Opinions of Hate Speech Victims in Abusive Language Detection
    • [cs.CL]XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
    • [cs.CL]Zero-Shot Estimation of Base Models’ Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization
    • [cs.CR]Explanation-Guided Diagnosis of Machine Learning Evasion Attacks
    • [cs.CR]Protecting Time Series Data with Minimal Forecast Loss
    • [cs.CV]A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector
    • [cs.CV]A Survey on Adversarial Image Synthesis
    • [cs.CV]Affective Image Content Analysis: Two Decades Review and New Perspectives
    • [cs.CV]Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment
    • [cs.CV]Attention Aware Wavelet-based Detection of Morphed Face Images
    • [cs.CV]Augmented Shortcuts for Vision Transformers
    • [cs.CV]Automated Onychomycosis Detection Using Deep Neural Networks
    • [cs.CV]Content-Aware Convolutional Neural Networks
    • [cs.CV]Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information
    • [cs.CV]Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification
    • [cs.CV]Domain adaptation for person re-identification on new unlabeled data using AlignedReID++
    • [cs.CV]Dual Reweighting Domain Generalization for Face Presentation Attack Detection
    • [cs.CV]Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
    • [cs.CV]GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
    • [cs.CV]Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
    • [cs.CV]Learning to Map for Active Semantic Goal Navigation
    • [cs.CV]Long-Short Temporal Modeling for Efficient Action Recognition
    • [cs.CV]Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
    • [cs.CV]MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
    • [cs.CV]Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
    • [cs.CV]Multi-Exit Vision Transformer for Dynamic Inference
    • [cs.CV]Multi-Source Domain Adaptation for Object Detection
    • [cs.CV]Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
    • [cs.CV]Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint
    • [cs.CV]Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
    • [cs.CV]RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
    • [cs.CV]Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation
    • [cs.CV]Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds
    • [cs.CV]S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels
    • [cs.CV]SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems
    • [cs.CV]SOLO: A Simple Framework for Instance Segmentation
    • [cs.CV]Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
    • [cs.CV]Shape Completion via IMLE
    • [cs.CV]Single-Step Adversarial Training for Semantic Segmentation
    • [cs.CV]Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers
    • [cs.CV]Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking
    • [cs.CV]Text Prior Guided Scene Text Image Super-resolution
    • [cs.CV]Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning
    • [cs.CV]Using Robust Regression to Find Font Usage Trends
    • [cs.CV]Weakly Supervised Temporal Adjacent Network for Language Grounding
    • [cs.CV]When Video Classification Meets Incremental Classes
    • [cs.CV]Word-level Sign Language Recognition with Multi-stream Neural Networks Focusing on Local Regions
    • [cs.CV]Zero-shot Learning with Class Description Regularization
    • [cs.CY]A preliminary approach to knowledge integrity risk assessment in Wikipedia projects
    • [cs.CY]No Calm in The Storm: Investigating QAnon Website Relationships
    • [cs.DC]Distributed Nash Equilibrium Seeking under Quantization Communication
    • [cs.DC]Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction
    • [cs.DC]NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs
    • [cs.DS]Nearly-Tight and Oblivious Algorithms for Explainable Clustering
    • [cs.GT]Bounded rationality for relaxing best response and mutual consistency: An information-theoretic model of partial self-reference
    • [cs.GT]On the Role of Hypocrisy in Escaping the Tragedy of the Commons
    • [cs.HC]Zombies in the Loop? People are Insensitive to the Transparency of AI-Powered Moral Advisors
    • [cs.IR]Context-Aware Attention-Based Data Augmentation for POI Recommendation
    • [cs.IR]Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
    • [cs.IR]Dual Adversarial Variational Embedding for Robust Recommendation
    • [cs.IR]Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers
    • [cs.IR]Multi-Modal Chorus Recognition for Improving Song Search
    • [cs.IT]A remark on 今日学术视野(2021.7.2) - 图1-Linear MRD codes
    • [cs.IT]End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
    • [cs.IT]Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting
    • [cs.IT]MIMO Transmission Under Discrete Input Signal Constraints
    • [cs.IT]Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems
    • [cs.IT]Online Offloading Scheduling for NOMA-Aided MEC Under Partial Device Knowledge
    • [cs.IT]Pilot Assignment for Joint Uplink-Downlink Spectral Efficiency Enhancement in Massive MIMO Systems with Spatial Correlation
    • [cs.LG]A Robust Classification-autoencoder to Defend Outliers and Adversaries
    • [cs.LG]A Unified View of Stochastic Hamiltonian Sampling
    • [cs.LG]Analytic Insights into Structure and Rank of Neural Network Hessian Maps
    • [cs.LG]Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
    • [cs.LG]Curvature Graph Neural Network
    • [cs.LG]DAEMA: Denoising Autoencoder with Mask Attention
    • [cs.LG]Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
    • [cs.LG]Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis
    • [cs.LG]Diffusion Priors In Variational Autoencoders
    • [cs.LG]Distributionally Robust Learning with Stable Adversarial Training
    • [cs.LG]Dual GNNs: Graph Neural Network Learning with Limited Supervision
    • [cs.LG]Edge Representation Learning with Hypergraphs
    • [cs.LG]ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
    • [cs.LG]Exploring Context Modeling Techniques on the Spatiotemporal Crowd Flow Prediction
    • [cs.LG]Exploring Robustness of Neural Networks through Graph Measures
    • [cs.LG]Exponential Weights Algorithms for Selective Learning
    • [cs.LG]Faithful Edge Federated Learning: Scalability and Privacy
    • [cs.LG]How to Train Your MAML to Excel in Few-Shot Classification
    • [cs.LG]Improving the Efficiency of Transformers for Resource-Constrained Devices
    • [cs.LG]Interventional Assays for the Latent Space of Autoencoders
    • [cs.LG]Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning
    • [cs.LG]Ladder Polynomial Neural Networks
    • [cs.LG]Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition
    • [cs.LG]Learning Bounds for Open-Set Learning
    • [cs.LG]Learning Task Informed Abstractions
    • [cs.LG]Leveraging Hidden Structure in Self-Supervised Learning
    • [cs.LG]Local Reweighting for Adversarial Training
    • [cs.LG]Long Short-term Cognitive Networks
    • [cs.LG]Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
    • [cs.LG]On the Generative Utility of Cyclic Conditionals
    • [cs.LG]On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
    • [cs.LG]Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget
    • [cs.LG]PSD Representations for Effective Probability Models
    • [cs.LG]Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
    • [cs.LG]The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
    • [cs.LG]Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
    • [cs.LG]UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
    • [cs.LG]Unaware Fairness: Hierarchical Random Forest for Protected Classes
    • [cs.LG]Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
    • [cs.LG]Understanding and Improving Early Stopping for Learning with Noisy Labels
    • [cs.LG]Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data
    • [cs.LG]What can linear interpolation of neural network loss landscapes tell us?
    • [cs.NE]Algorithm For 3D-Chemotaxis Using Spiking Neural Network
    • [cs.NI]HetEng: An Improved Distributed Energy Efficient Clustering Scheme for Heterogeneous IoT Networks
    • [cs.RO]Arduino sensor integrated drone for weather indices: a prototype for pre-flight preparation
    • [cs.RO]Biologically Inspired Model for Timed Motion in Robotic Systems
    • [cs.RO]Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents
    • [cs.RO]Deep Multi-Modal Contact Estimation for Invariant Observer Design on Quadruped Robots
    • [cs.RO]Embedded out-of-distribution detection on an autonomous robot platform
    • [cs.RO]Robust Inertial-aided Underwater Localization and Navigation based on Imaging Sonar Keyframes
    • [cs.RO]SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
    • [cs.RO]Survivable Robotic Control through Guided Bayesian Policy Search with Deep Reinforcement Learning
    • [cs.SD]A Generative Model for Raw Audio Using Transformer Architectures
    • [cs.SD]Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
    • [cs.SE]Ethical AI-Powered Regression Test Selection
    • [cs.SI]Edge Proposal Sets for Link Prediction
    • [cs.SI]Multilayer Networks for Text Analysis with Multiple Data Types
    • [cs.SI]The Impact of Disinformation on a Controversial Debate on Social Media
    • [cs.SI]When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban
    • [econ.GN]Explaining Caste-based Digital Divide in India
    • [econ.TH]Hypothetical Expected Utility
    • [eess.AS]A Survey on Neural Speech Synthesis
    • [eess.AS]Multi-Scale Spectrogram Modelling for Neural Text-to-Speech
    • [eess.IV]10-mega pixel snapshot compressive imaging with a hybrid coded aperture
    • [eess.IV]BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
    • [eess.IV]Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification
    • [eess.IV]Learnable Reconstruction Methods from RGB Images to Hyperspectral Imaging: A Survey
    • [eess.IV]RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
    • [eess.IV]ResViT: Residual vision transformers for multi-modal medical image synthesis
    • [eess.SP]Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
    • [eess.SP]Graph Signal Restoration Using Nested Deep Algorithm Unrolling
    • [eess.SP]HybridDeepRx: Deep Learning Receiver for High-EVM Signals
    • [eess.SP]Limited-Fronthaul Cell-Free Hybrid Beamforming with Distributed Deep Neural Network
    • [eess.SP]Resilient UAV Swarm Communications with Graph Convolutional Neural Network
    • [math.NA]A parallel fast multipole method for a space-time boundary element method for the heat equation
    • [math.OC]AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
    • [math.ST]A Statistical Taylor Theorem and Extrapolation of Truncated Densities
    • [math.ST]Mixed semimartingales: Volatility estimation in the presence of fractional noise
    • [math.ST]Predictive Model Degrees of Freedom in Linear Regression
    • [physics.soc-ph]Switchover phenomenon induced by epidemic seeding on geometric networks
    • [physics.soc-ph]The rise of populism and the reconfiguration of the German political space
    • [q-bio.NC]Reasoning about conscious experience with axiomatic and graphical mathematics
    • [q-bio.NC]Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity
    • [q-bio.QM]Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
    • [stat.AP]Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data
    • [stat.AP]Group Testing under Superspreading Dynamics
    • [stat.AP]Scale-wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes
    • [stat.ME]Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models
    • [stat.ME]AdaPT-GMM: Powerful and robust covariate-assisted multiple testing
    • [stat.ME]Adaptively Robust Geographically Weighted Regression
    • [stat.ME]Analysis of COVID-19 evolution based on testing closeness of sequential data
    • [stat.ME]BONuS: Multiple multivariate testing with a data-adaptivetest statistic
    • [stat.ME]Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
    • [stat.ME]Bayesian clustering using random effects models and predictive projections
    • [stat.ME]Developing flexible classes of distributions to account for both skewness and bimodality
    • [stat.ME]Estimating Gaussian mixtures using sparse polynomial moment systems
    • [stat.ME]Maximum likelihood estimation of hidden Markov models for continuous longitudinal data with missing responses and dropout
    • [stat.ME]Non-parametric generalised newsvendor model
    • [stat.ME]On choosing optimal response transformations for dimension reduction
    • [stat.ME]Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches
    • [stat.ME]Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
    • [stat.ME]Testing normality of spatially indexed functional data
    • [stat.ME]Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials
    • [stat.ML]Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization
    • [stat.ML]Fixed points of monotonic and (weakly) scalable neural networks
    • [stat.ML]Monte Carlo Variational Auto-Encoders
    • [stat.ML]Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework
    • [stat.ML]Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence

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

    • [cs.AI]A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
    Shen-Yun Miao, Chao-Chun Liang, Keh-Yih Su
    http://arxiv.org/abs/2106.15772v1

    • [cs.AI]CityNet: A Multi-city Multi-modal Dataset for Smart City Applications
    Xu Geng, Yilun Jin, Zhengfei Zheng, Yu Yang, Yexin Li, Han Tian, Peibo Duan, Leye Wang, Jiannong Cao, Hai Yang, Qiang Yang, Kai Chen
    http://arxiv.org/abs/2106.15802v1

    • [cs.AI]Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study
    Tianye Shu, Jialin Liu, Georgios N. Yannakakis
    http://arxiv.org/abs/2106.15877v1

    • [cs.AI]Fact Check: Analyzing Financial Events from Multilingual News Sources
    Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
    http://arxiv.org/abs/2106.15221v2

    • [cs.AI]Informed Machine Learning for Improved Similarity Assessment in Process-Oriented Case-Based Reasoning
    Maximilian Hoffmann, Ralph Bergmann
    http://arxiv.org/abs/2106.15931v1

    • [cs.AI]Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem
    Shamay G. Samuel, Enrique Areyan Viqueira, Serdar Kadioglu
    http://arxiv.org/abs/2106.16176v1

    • [cs.AI]The Threat of Offensive AI to Organizations
    Yisroel Mirsky, Ambra Demontis, Jaidip Kotak, Ram Shankar, Deng Gelei, Liu Yang, Xiangyu Zhang, Wenke Lee, Yuval Elovici, Battista Biggio
    http://arxiv.org/abs/2106.15764v1

    • [cs.CE]Relational VAE: A Continuous Latent Variable Model for Graph Structured Data
    Charilaos Mylonas, Imad Abdallah, Eleni Chatzi
    http://arxiv.org/abs/2106.16049v1

    • [cs.CL]A Conditional Splitting Framework for Efficient Constituency Parsing
    Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty, Xiaoli Li
    http://arxiv.org/abs/2106.15760v1

    • [cs.CL]Alzheimer’s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
    Morteza Rohanian, Julian Hough, Matthew Purver
    http://arxiv.org/abs/2106.15684v1

    • [cs.CL]An Analysis of the Recent Visibility of the SigDial Conference
    Casey Kennington, McKenzie Steenson
    http://arxiv.org/abs/2106.16196v1

    • [cs.CL]AutoLAW: Augmented Legal Reasoning through Legal Precedent Prediction
    Robert Zev Mahari
    http://arxiv.org/abs/2106.16034v1

    • [cs.CL]Automatically Select Emotion for Response via Personality-affected Emotion Transition
    Wen Zhiyuan, Cao Jiannong, Yang Ruosong, Liu Shuaiqi, Shen Jiaxing
    http://arxiv.org/abs/2106.15846v1

    • [cs.CL]ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
    Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li
    http://arxiv.org/abs/2106.16038v1

    • [cs.CL]Cross-lingual alignments of ELMo contextual embeddings
    Matej Ulčar, Marko Robnik-Šikonja
    http://arxiv.org/abs/2106.15986v1

    • [cs.CL]Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERT
    Ana-Maria Bucur, Adrian Cosma, Liviu P. Dinu
    http://arxiv.org/abs/2106.16175v1

    • [cs.CL]End-to-End Spoken Language Understanding using RNN-Transducer ASR
    Anirudh Raju, Gautam Tiwari, Milind Rao, Pranav Dheram, Bryan Anderson, Zhe Zhang, Bach Bui, Ariya Rastrow
    http://arxiv.org/abs/2106.15919v1

    • [cs.CL]Evaluation of Thematic Coherence in Microblogs
    Iman Munire Bilal, Bo Wang, Maria Liakata, Rob Procter, Adam Tsakalidis
    http://arxiv.org/abs/2106.15971v1

    • [cs.CL]Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
    Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
    http://arxiv.org/abs/2106.15231v2

    • [cs.CL]Genre determining prediction: Non-standard TAM marking in football language
    Jakob Egetenmeyer
    http://arxiv.org/abs/2106.15872v1

    • [cs.CL]HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
    Liliang Ren, Chenkai Sun, Heng Ji, Julia Hockenmaier
    http://arxiv.org/abs/2106.15838v1

    • [cs.CL]IMS’ Systems for the IWSLT 2021 Low-Resource Speech Translation Task
    Pavel Denisov, Manuel Mager, Ngoc Thang Vu
    http://arxiv.org/abs/2106.16055v1

    • [cs.CL]Improving Factual Consistency of Abstractive Summarization on Customer Feedback
    Yang Liu, Yifei Sun, Vincent Gao
    http://arxiv.org/abs/2106.16188v1

    • [cs.CL]Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
    Paheli Bhattacharya, Soham Poddar, Koustav Rudra, Kripabandhu Ghosh, Saptarshi Ghosh
    http://arxiv.org/abs/2106.15876v1

    • [cs.CL]Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
    Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou
    http://arxiv.org/abs/2106.15903v1

    • [cs.CL]Mixed Cross Entropy Loss for Neural Machine Translation
    Haoran Li, Wei Lu
    http://arxiv.org/abs/2106.15880v1

    • [cs.CL]New Arabic Medical Dataset for Diseases Classification
    Jaafar Hammoud, Aleksandra Vatian, Natalia Dobrenko, Nikolai Vedernikov, Anatoly Shalyto, Natalia Gusarova
    http://arxiv.org/abs/2106.15236v2

    • [cs.CL]News Article Retrieval in Context for Event-centric Narrative Creation
    Nikos Voskarides, Edgar Meij, Sabrina Sauer, Maarten de Rijke
    http://arxiv.org/abs/2106.16053v1

    • [cs.CL]O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
    Benedikt Boenninghoff, Robert M. Nickel, Dorothea Kolossa
    http://arxiv.org/abs/2106.15825v1

    • [cs.CL]On the Power of Saturated Transformers: A View from Circuit Complexity
    William Merrill, Yoav Goldberg, Roy Schwartz, Noah A. Smith
    http://arxiv.org/abs/2106.16213v1

    • [cs.CL]Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer
    Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova
    http://arxiv.org/abs/2106.16171v1

    • [cs.CL]SAT Based Analogy Evaluation Framework for Persian Word Embeddings
    Seyyed Ehsan Mahmoudi, Mehrnoush Shamsfard
    http://arxiv.org/abs/2106.15674v1

    • [cs.CL]The MultiBERTs: BERT Reproductions for Robustness Analysis
    Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D’Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick
    http://arxiv.org/abs/2106.16163v1

    • [cs.CL]What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?
    Kelly Marchisio, Markus Freitag, David Grangier
    http://arxiv.org/abs/2106.15818v1

    • [cs.CL]Whose Opinions Matter? Perspective-aware Models to Identify Opinions of Hate Speech Victims in Abusive Language Detection
    Sohail Akhtar, Valerio Basile, Viviana Patti
    http://arxiv.org/abs/2106.15896v1

    • [cs.CL]XLM-E: Cross-lingual Language Model Pre-training via ELECTRA
    Zewen Chi, Shaohan Huang, Li Dong, Shuming Ma, Saksham Singhal, Payal Bajaj, Xia Song, Furu Wei
    http://arxiv.org/abs/2106.16138v1

    • [cs.CL]Zero-Shot Estimation of Base Models’ Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization
    Razieh Baradaran, Hossein Amirkhani
    http://arxiv.org/abs/2106.16013v1

    • [cs.CR]Explanation-Guided Diagnosis of Machine Learning Evasion Attacks
    Abderrahmen Amich, Birhanu Eshete
    http://arxiv.org/abs/2106.15820v1

    • [cs.CR]Protecting Time Series Data with Minimal Forecast Loss
    Matthew J. Schneider, Jinwook Lee
    http://arxiv.org/abs/2106.16085v1

    • [cs.CV]A Structured Analysis of the Video Degradation Effects on the Performance of a Machine Learning-enabled Pedestrian Detector
    Christian Berger
    http://arxiv.org/abs/2106.15889v1

    • [cs.CV]A Survey on Adversarial Image Synthesis
    William Roy, Glen Kelly, Robert Leer, Frederick Ricardo
    http://arxiv.org/abs/2106.16056v1

    • [cs.CV]Affective Image Content Analysis: Two Decades Review and New Perspectives
    Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer
    http://arxiv.org/abs/2106.16125v1

    • [cs.CV]Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment
    Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
    http://arxiv.org/abs/2106.15788v1

    • [cs.CV]Attention Aware Wavelet-based Detection of Morphed Face Images
    Poorya Aghdaie, Baaria Chaudhary, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi
    http://arxiv.org/abs/2106.15686v1

    • [cs.CV]Augmented Shortcuts for Vision Transformers
    Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
    http://arxiv.org/abs/2106.15941v1

    • [cs.CV]Automated Onychomycosis Detection Using Deep Neural Networks
    Abdurrahim Yilmaz, Rahmetullah Varol, Fatih Goktay, Gulsum Gencoglan, Ali Anil Demircali, Berk Dilsizoglu, Huseyin Uvet
    http://arxiv.org/abs/2106.16139v1

    • [cs.CV]Content-Aware Convolutional Neural Networks
    Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang
    http://arxiv.org/abs/2106.15797v1

    • [cs.CV]Cyclist Trajectory Forecasts by Incorporation of Multi-View Video Information
    Stefan Zernetsch, Oliver Trupp, Viktor Kress, Konrad Doll, Bernhard Sick
    http://arxiv.org/abs/2106.15991v1

    • [cs.CV]Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification
    Wenming Tang Guoping Qiu
    http://arxiv.org/abs/2106.15778v1

    • [cs.CV]Domain adaptation for person re-identification on new unlabeled data using AlignedReID++
    Tiago de C. G. Pereira, Teofilo E. de Campos
    http://arxiv.org/abs/2106.15693v1

    • [cs.CV]Dual Reweighting Domain Generalization for Face Presentation Attack Detection
    Shubao Liu, Ke-Yue Zhang, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Yuan Xie, Lizhuang Ma
    http://arxiv.org/abs/2106.16128v1

    • [cs.CV]Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
    Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng, Imari Sato
    http://arxiv.org/abs/2106.16028v1

    • [cs.CV]GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
    Peng Tu, Yawen Huang, Rongrong Ji, Feng Zheng, Ling Shao
    http://arxiv.org/abs/2106.15064v2

    • [cs.CV]Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy
    Anuja Vats, Marius Pedersen, Ahmed Mohammed, Øistein Hovde
    http://arxiv.org/abs/2106.16162v1

    • [cs.CV]Learning to Map for Active Semantic Goal Navigation
    Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
    http://arxiv.org/abs/2106.15648v1

    • [cs.CV]Long-Short Temporal Modeling for Efficient Action Recognition
    Liyu Wu, Yuexian Zou, Can Zhang
    http://arxiv.org/abs/2106.15787v1

    • [cs.CV]Looking Outside the Window: Wider-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
    Lei Ding, Dong Lin, Shaofu Lin, Jing Zhang, Xiaojie Cui, Yuebin Wang, Hao Tang, Lorenzo Bruzzone
    http://arxiv.org/abs/2106.15754v1

    • [cs.CV]MissFormer: (In-)attention-based handling of missing observations for trajectory filtering and prediction
    Stefan Becker, Ronny Hug, Wolfgang Hübner, Michael Arens, Brendan T. Morris
    http://arxiv.org/abs/2106.16009v1

    • [cs.CV]Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
    Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang
    http://arxiv.org/abs/2106.15796v1

    • [cs.CV]Multi-Exit Vision Transformer for Dynamic Inference
    Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
    http://arxiv.org/abs/2106.15183v2

    • [cs.CV]Multi-Source Domain Adaptation for Object Detection
    Xingxu Yao, Sicheng Zhao, Pengfei Xu, Jufeng Yang
    http://arxiv.org/abs/2106.15793v1

    • [cs.CV]Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
    Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy
    http://arxiv.org/abs/2106.16093v1

    • [cs.CV]Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint
    Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng
    http://arxiv.org/abs/2106.16000v1

    • [cs.CV]Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations
    Zipei Zhao, Fengqian Pang, Zhiwen Liu, Chuyang Ye
    http://arxiv.org/abs/2106.15918v1

    • [cs.CV]RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
    Christopher Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox
    http://arxiv.org/abs/2106.15711v1

    • [cs.CV]Recognizing Facial Expressions in the Wild using Multi-Architectural Representations based Ensemble Learning with Distillation
    Rauf Momin, Ali Shan Momin, Khalid Rasheed
    http://arxiv.org/abs/2106.16126v1

    • [cs.CV]Recurrently Estimating Reflective Symmetry Planes from Partial Pointclouds
    Mihaela Cătălina Stoian, Tommaso Cavallari
    http://arxiv.org/abs/2106.16129v1

    • [cs.CV]S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels
    Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch
    http://arxiv.org/abs/2106.16209v1

    • [cs.CV]SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems
    Yang Xu, Bohao Huang, Xiong Luo, Kyle Bradbury, Jordan M. Malof
    http://arxiv.org/abs/2106.15681v1

    • [cs.CV]SOLO: A Simple Framework for Instance Segmentation
    Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li
    http://arxiv.org/abs/2106.15947v1

    • [cs.CV]Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
    Juan Tapia, Enrique Lopez Droguett, Andres Valenzuela, Daniel Benalcazar, Leonardo Causa, Christoph Busch
    http://arxiv.org/abs/2106.15828v1

    • [cs.CV]Shape Completion via IMLE
    Himanshu Arora, Saurabh Mishra, Shichong Peng, Ke Li, Ali Mahdavi-Amiri
    http://arxiv.org/abs/2106.16237v1

    • [cs.CV]Single-Step Adversarial Training for Semantic Segmentation
    Daniel Wiens, Barbara Hammer
    http://arxiv.org/abs/2106.15998v1

    • [cs.CV]Small in-distribution changes in 3D perspective and lighting fool both CNNs and Transformers
    Spandan Madan, Tomotake Sasaki, Tzu-Mao Li, Xavier Boix, Hanspeter Pfister
    http://arxiv.org/abs/2106.16198v1

    • [cs.CV]Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking
    Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
    http://arxiv.org/abs/2106.16100v1

    • [cs.CV]Text Prior Guided Scene Text Image Super-resolution
    Jianqi Ma, Shi Guo, Lei Zhang
    http://arxiv.org/abs/2106.15368v2

    • [cs.CV]Understanding Cognitive Fatigue from fMRI Scans with Self-supervised Learning
    Ashish Jaiswal, Ashwin Ramesh Babu, Mohammad Zaki Zadeh, Fillia Makedon, Glenn Wylie
    http://arxiv.org/abs/2106.15009v2

    • [cs.CV]Using Robust Regression to Find Font Usage Trends
    Kaigen Tsuji, Seiichi Uchida, Brian Kenji Iwana
    http://arxiv.org/abs/2106.15232v2

    • [cs.CV]Weakly Supervised Temporal Adjacent Network for Language Grounding
    Yuechen Wang, Jiajun Deng, Wengang Zhou, Houqiang Li
    http://arxiv.org/abs/2106.16136v1

    • [cs.CV]When Video Classification Meets Incremental Classes
    Hanbin Zhao, Xin Qin, Shihao Su, Zibo Lin, Xi Li
    http://arxiv.org/abs/2106.15827v1

    • [cs.CV]Word-level Sign Language Recognition with Multi-stream Neural Networks Focusing on Local Regions
    Mizuki Maruyama, Shuvozit Ghose, Katsufumi Inoue, Partha Pratim Roy, Masakazu Iwamura, Michifumi Yoshioka
    http://arxiv.org/abs/2106.15989v1

    • [cs.CV]Zero-shot Learning with Class Description Regularization
    Shayan Kousha, Marcus A. Brubaker
    http://arxiv.org/abs/2106.16108v1

    • [cs.CY]A preliminary approach to knowledge integrity risk assessment in Wikipedia projects
    Pablo Aragón, Diego Sáez-Trumper
    http://arxiv.org/abs/2106.15940v1

    • [cs.CY]No Calm in The Storm: Investigating QAnon Website Relationships
    Hans W. A. Hanley, Deepak Kumar, Zakir Durumeric
    http://arxiv.org/abs/2106.15715v1

    • [cs.DC]Distributed Nash Equilibrium Seeking under Quantization Communication
    Ziqin Chen, Ji Ma, Shu Liang, Li Li
    http://arxiv.org/abs/2106.16002v1

    • [cs.DC]Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction
    Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie
    http://arxiv.org/abs/2106.16064v1

    • [cs.DC]NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs
    Ayesha Abdul Majeed, Peter Kilpatrick, Ivor Spence, Blesson Varghese
    http://arxiv.org/abs/2106.15689v1

    • [cs.DS]Nearly-Tight and Oblivious Algorithms for Explainable Clustering
    Buddhima Gamlath, Xinrui Jia, Adam Polak, Ola Svensson
    http://arxiv.org/abs/2106.16147v1

    • [cs.GT]Bounded rationality for relaxing best response and mutual consistency: An information-theoretic model of partial self-reference
    Benjamin Patrick Evans, Mikhail Prokopenko
    http://arxiv.org/abs/2106.15844v1

    • [cs.GT]On the Role of Hypocrisy in Escaping the Tragedy of the Commons
    Amos Korman, Robin Vacus
    http://arxiv.org/abs/2106.15942v1

    • [cs.HC]Zombies in the Loop? People are Insensitive to the Transparency of AI-Powered Moral Advisors
    Sebastian Krügel, Andreas Ostermaier, Matthias Uhl
    http://arxiv.org/abs/2106.16122v1

    • [cs.IR]Context-Aware Attention-Based Data Augmentation for POI Recommendation
    Yang Li, Yadan Luo, Zheng Zhang, Shazia W. Sadiq, Peng Cui
    http://arxiv.org/abs/2106.15984v1

    • [cs.IR]Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
    Yang Li, Tong Chen, Hongzhi Yin, Zi Huang
    http://arxiv.org/abs/2106.15814v1

    • [cs.IR]Dual Adversarial Variational Embedding for Robust Recommendation
    Qiaomin Yi, Ning Yang, Philip S. Yu
    http://arxiv.org/abs/2106.15779v1

    • [cs.IR]Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers
    Victor Zitian Chen, Felipe Montano-Campos, Wlodek Zadrozny, Evan Canfield
    http://arxiv.org/abs/2106.16102v1

    • [cs.IR]Multi-Modal Chorus Recognition for Improving Song Search
    Jiaan Wang, Zhixu Li, Binbin Gu, Tingyi Zhang, Qingsheng Liu, Zhigang Chen
    http://arxiv.org/abs/2106.16153v1

    • [cs.IT]A remark on 今日学术视野(2021.7.2) - 图2-Linear MRD codes
    Luca Giuzzi, Guglielmo Lunardon
    http://arxiv.org/abs/2106.15708v1

    • [cs.IT]End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
    Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
    http://arxiv.org/abs/2106.16039v1

    • [cs.IT]Learning to Minimize Age of Information over an Unreliable Channel with Energy Harvesting
    Elif Tugce Ceran, Deniz Gunduz, Andras Gyorgy
    http://arxiv.org/abs/2106.16037v1

    • [cs.IT]MIMO Transmission Under Discrete Input Signal Constraints
    Jie Feng, Biqian Feng, Yongpeng Wu, Li Shen, Wenjun Zhang
    http://arxiv.org/abs/2106.15836v1

    • [cs.IT]Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems
    Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
    http://arxiv.org/abs/2106.16074v1

    • [cs.IT]Online Offloading Scheduling for NOMA-Aided MEC Under Partial Device Knowledge
    Meihui Hua, Hui Tian, Xinchen Lyu, Wanli Ni, Gaofeng Nie
    http://arxiv.org/abs/2106.15773v1

    • [cs.IT]Pilot Assignment for Joint Uplink-Downlink Spectral Efficiency Enhancement in Massive MIMO Systems with Spatial Correlation
    Tien Hoa Nguyen, Trinh Van Chien, Hien Quoc Ngo, Xuan Nam Tran, Emil Björnson
    http://arxiv.org/abs/2106.15817v1

    • [cs.LG]A Robust Classification-autoencoder to Defend Outliers and Adversaries
    Lijia Yu, Xiao-Shan Gao
    http://arxiv.org/abs/2106.15927v1

    • [cs.LG]A Unified View of Stochastic Hamiltonian Sampling
    Giulio Franzese, Dimitrios Milios, Maurizio Filippone, Pietro Michiardi
    http://arxiv.org/abs/2106.16200v1

    • [cs.LG]Analytic Insights into Structure and Rank of Neural Network Hessian Maps
    Sidak Pal Singh, Gregor Bachmann, Thomas Hofmann
    http://arxiv.org/abs/2106.16225v1

    • [cs.LG]Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol
    Damien Fourure, Muhammad Usama Javaid, Nicolas Posocco, Simon Tihon
    http://arxiv.org/abs/2106.16020v1

    • [cs.LG]Curvature Graph Neural Network
    Haifeng Li, Jun Cao, Jiawei Zhu, Yu Liu, Qing Zhu, Guohua Wu
    http://arxiv.org/abs/2106.15762v1

    • [cs.LG]DAEMA: Denoising Autoencoder with Mask Attention
    Simon Tihon, Muhammad Usama Javaid, Damien Fourure, Nicolas Posocco, Thomas Peel
    http://arxiv.org/abs/2106.16057v1

    • [cs.LG]Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
    Jiefeng Chen, Frederick Liu, Besim Avci, Xi Wu, Yingyu Liang, Somesh Jha
    http://arxiv.org/abs/2106.15728v1

    • [cs.LG]Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis
    Cory Braker Scott, Eric Mjolsness, Diane Oyen, Chie Kodera, David Bouchez, Magalie Uyttewaal
    http://arxiv.org/abs/2106.15716v1

    • [cs.LG]Diffusion Priors In Variational Autoencoders
    Antoine Wehenkel, Gilles Louppe
    http://arxiv.org/abs/2106.15671v1

    • [cs.LG]Distributionally Robust Learning with Stable Adversarial Training
    Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li
    http://arxiv.org/abs/2106.15791v1

    • [cs.LG]Dual GNNs: Graph Neural Network Learning with Limited Supervision
    Abdullah Alchihabi, Yuhong Guo
    http://arxiv.org/abs/2106.15755v1

    • [cs.LG]Edge Representation Learning with Hypergraphs
    Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang
    http://arxiv.org/abs/2106.15845v1

    • [cs.LG]ElephantBook: A Semi-Automated Human-in-the-Loop System for Elephant Re-Identification
    Peter Kulits, Jake Wall, Anka Bedetti, Michelle Henley, Sara Beery
    http://arxiv.org/abs/2106.15083v2

    • [cs.LG]Exploring Context Modeling Techniques on the Spatiotemporal Crowd Flow Prediction
    Liyue Chen, Leye Wang
    http://arxiv.org/abs/2106.16046v1

    • [cs.LG]Exploring Robustness of Neural Networks through Graph Measures
    Asim Waqas, Ghulam Rasool, Hamza Farooq, Nidhal C. Bouaynaya
    http://arxiv.org/abs/2106.15850v1

    • [cs.LG]Exponential Weights Algorithms for Selective Learning
    Mingda Qiao, Gregory Valiant
    http://arxiv.org/abs/2106.15662v1

    • [cs.LG]Faithful Edge Federated Learning: Scalability and Privacy
    Meng Zhang, Ermin Wei, Randall Berry
    http://arxiv.org/abs/2106.15905v1

    • [cs.LG]How to Train Your MAML to Excel in Few-Shot Classification
    Han-Jia Ye, Wei-Lun Chao
    http://arxiv.org/abs/2106.16245v1

    • [cs.LG]Improving the Efficiency of Transformers for Resource-Constrained Devices
    Hamid Tabani, Ajay Balasubramaniam, Shabbir Marzban, Elahe Arani, Bahram Zonooz
    http://arxiv.org/abs/2106.16006v1

    • [cs.LG]Interventional Assays for the Latent Space of Autoencoders
    Felix Leeb, Stefan Bauer, Bernhard Schölkopf
    http://arxiv.org/abs/2106.16091v1

    • [cs.LG]Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning
    Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham Kakade, Yoshinobu Kawahara
    http://arxiv.org/abs/2106.15775v1

    • [cs.LG]Ladder Polynomial Neural Networks
    Li-Ping Liu, Ruiyuan Gu, Xiaozhe Hu
    http://arxiv.org/abs/2106.13834v2

    • [cs.LG]Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition
    Zhongyuan Lyu, Dong Xia, Yuan Zhang
    http://arxiv.org/abs/2106.16042v1

    • [cs.LG]Learning Bounds for Open-Set Learning
    Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang
    http://arxiv.org/abs/2106.15792v1

    • [cs.LG]Learning Task Informed Abstractions
    Xiang Fu, Ge Yang, Pulkit Agrawal, Tommi Jaakkola
    http://arxiv.org/abs/2106.15612v2

    • [cs.LG]Leveraging Hidden Structure in Self-Supervised Learning
    Emanuele Sansone
    http://arxiv.org/abs/2106.16060v1

    • [cs.LG]Local Reweighting for Adversarial Training
    Ruize Gao, Feng Liu, Kaiwen Zhou, Gang Niu, Bo Han, James Cheng
    http://arxiv.org/abs/2106.15776v1

    • [cs.LG]Long Short-term Cognitive Networks
    Gonzalo Nápoles, Isel Grau, Agnieszka Jastrzebska, Yamisleydi Salgueiro
    http://arxiv.org/abs/2106.16233v1

    • [cs.LG]Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches
    Annie Wong, Thomas Bäck, Anna V. Kononova, Aske Plaat
    http://arxiv.org/abs/2106.15691v1

    • [cs.LG]On the Generative Utility of Cyclic Conditionals
    Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu
    http://arxiv.org/abs/2106.15962v1

    • [cs.LG]On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay
    Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry Vetrov
    http://arxiv.org/abs/2106.15739v1

    • [cs.LG]Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget
    Baihan Lin, Djallel Bouneffouf
    http://arxiv.org/abs/2106.15808v1

    • [cs.LG]PSD Representations for Effective Probability Models
    Alessandro Rudi, Carlo Ciliberto
    http://arxiv.org/abs/2106.16116v1

    • [cs.LG]Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
    Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer
    http://arxiv.org/abs/2106.16187v1

    • [cs.LG]The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning
    Anders Andreassen, Yasaman Bahri, Behnam Neyshabur, Rebecca Roelofs
    http://arxiv.org/abs/2106.15831v1

    • [cs.LG]Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
    Jack Parker-Holder, Vu Nguyen, Shaan Desai, Stephen Roberts
    http://arxiv.org/abs/2106.15883v1

    • [cs.LG]UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
    Su Wang, Seyyedali Hosseinalipour, Maria Gorlatova, Christopher G. Brinton, Mung Chiang
    http://arxiv.org/abs/2106.15734v1

    • [cs.LG]Unaware Fairness: Hierarchical Random Forest for Protected Classes
    Xian Li
    http://arxiv.org/abs/2106.15767v1

    • [cs.LG]Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning
    You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
    http://arxiv.org/abs/2106.15860v1

    • [cs.LG]Understanding and Improving Early Stopping for Learning with Noisy Labels
    Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu
    http://arxiv.org/abs/2106.15853v1

    • [cs.LG]Weight Divergence Driven Divide-and-Conquer Approach for Optimal Federated Learning from non-IID Data
    Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi, Srikanth Chandar
    http://arxiv.org/abs/2106.14503v2

    • [cs.LG]What can linear interpolation of neural network loss landscapes tell us?
    Tiffany Vlaar, Jonathan Frankle
    http://arxiv.org/abs/2106.16004v1

    • [cs.NE]Algorithm For 3D-Chemotaxis Using Spiking Neural Network
    Jayesh Choudhary, Vivek Saraswat, Udayan Ganguly
    http://arxiv.org/abs/2106.16215v1

    • [cs.NI]HetEng: An Improved Distributed Energy Efficient Clustering Scheme for Heterogeneous IoT Networks
    Hamed Moasses, Abdulbaghi Ghaderzadeh, Keyhan Khamforoosh
    http://arxiv.org/abs/2106.15718v1

    • [cs.RO]Arduino sensor integrated drone for weather indices: a prototype for pre-flight preparation
    Theodore Karachalios, Dimitris Kanellopoulos, Fotis Lazarinis
    http://arxiv.org/abs/2106.16083v1

    • [cs.RO]Biologically Inspired Model for Timed Motion in Robotic Systems
    Sebastian Doliwa, Muhammad Ayaz Hussain, Tim Sziburis, Ioannis Iossifidis
    http://arxiv.org/abs/2106.15864v1

    • [cs.RO]Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents
    Per R. Leikanger
    http://arxiv.org/abs/2106.15868v1

    • [cs.RO]Deep Multi-Modal Contact Estimation for Invariant Observer Design on Quadruped Robots
    Tzu-Yuan Lin, Ray Zhang, Justin Yu, Maani Ghaffari
    http://arxiv.org/abs/2106.15713v1

    • [cs.RO]Embedded out-of-distribution detection on an autonomous robot platform
    Michael Yuhas, Yeli Feng, Daniel Jun Xian Ng, Zahra Rahiminasab, Arvind Easwaran
    http://arxiv.org/abs/2106.15965v1

    • [cs.RO]Robust Inertial-aided Underwater Localization and Navigation based on Imaging Sonar Keyframes
    Yang Xu, Ronghao Zheng, Meiqin liu, Senlin Zhang
    http://arxiv.org/abs/2106.16032v1

    • [cs.RO]SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
    Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan, Mark Tjersland
    http://arxiv.org/abs/2106.16118v1

    • [cs.RO]Survivable Robotic Control through Guided Bayesian Policy Search with Deep Reinforcement Learning
    Sayyed Jaffar Ali Raza, Apan Dastider, Mingjie Lin
    http://arxiv.org/abs/2106.15653v1

    • [cs.SD]A Generative Model for Raw Audio Using Transformer Architectures
    Prateek Verma, Chris Chafe
    http://arxiv.org/abs/2106.16036v1

    • [cs.SD]Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
    Tharindu Fernando, Sridha Sridharan, Simon Denman, Houman Ghaemmaghami, Clinton Fookes
    http://arxiv.org/abs/2106.15835v1

    • [cs.SE]Ethical AI-Powered Regression Test Selection
    Per Erik Strandberg, Mirgita Frasheri, Eduard Paul Enoiu
    http://arxiv.org/abs/2106.16050v1

    • [cs.SI]Edge Proposal Sets for Link Prediction
    Abhay Singh, Qian Huang, Sijia Linda Huang, Omkar Bhalerao, Horace He, Ser-Nam Lim, Austin R. Benson
    http://arxiv.org/abs/2106.15810v1

    • [cs.SI]Multilayer Networks for Text Analysis with Multiple Data Types
    Charles C. Hyland, Yuanming Tao, Lamiae Azizi, Martin Gerlach, Tiago P. Peixoto, Eduardo G. Altmann
    http://arxiv.org/abs/2106.15821v1

    • [cs.SI]The Impact of Disinformation on a Controversial Debate on Social Media
    Salvatore Vilella, Alfonso Semeraro, Daniela Paolotti, Giancarlo Ruffo
    http://arxiv.org/abs/2106.15968v1

    • [cs.SI]When the Echo Chamber Shatters: Examining the Use of Community-Specific Language Post-Subreddit Ban
    Milo Z. Trujillo, Samuel F. Rosenblatt, Guillermo de Anda Jáuregui, Emily Moog, Briane Paul V. Samson, Laurent Hébert-Dufresne, Allison M. Roth
    http://arxiv.org/abs/2106.16207v1

    • [econ.GN]Explaining Caste-based Digital Divide in India
    R Vaidehi, A Bheemeshwar Reddy, Sudatta Banerjee
    http://arxiv.org/abs/2106.15917v1

    • [econ.TH]Hypothetical Expected Utility
    Evan Piermont
    http://arxiv.org/abs/2106.15979v1

    • [eess.AS]A Survey on Neural Speech Synthesis
    Xu Tan, Tao Qin, Frank Soong, Tie-Yan Liu
    http://arxiv.org/abs/2106.15561v2

    • [eess.AS]Multi-Scale Spectrogram Modelling for Neural Text-to-Speech
    Ammar Abbas, Bajibabu Bollepalli, Alexis Moinet, Arnaud Joly, Penny Karanasou, Peter Makarov, Simon Slangens, Sri Karlapati, Thomas Drugman
    http://arxiv.org/abs/2106.15649v1

    • [eess.IV]10-mega pixel snapshot compressive imaging with a hybrid coded aperture
    Zhihong Zhang, Chao Deng, Yang Liu, Xin Yuan, Jinli Suo, Qionghai Dai
    http://arxiv.org/abs/2106.15765v1

    • [eess.IV]BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
    Xinxu Wei, Xianshi Zhang, Shisen Wang, Cheng Cheng, Yanlin Huang, Kaifu Yang, Yongjie Li
    http://arxiv.org/abs/2106.15953v1

    • [eess.IV]Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification
    Frauke Wilm, Michaela Benz, Volker Bruns, Serop Baghdadlian, Jakob Dexl, David Hartmann, Petr Kuritcyn, Martin Weidenfeller, Thomas Wittenberg, Susanne Merkel, Arndt Hartmann, Markus Eckstein, Carol I. Geppert
    http://arxiv.org/abs/2106.15893v1

    • [eess.IV]Learnable Reconstruction Methods from RGB Images to Hyperspectral Imaging: A Survey
    Jingang Zhang, Runmu Su, Wenqi Ren, Qiang Fu, Yunfeng Nie
    http://arxiv.org/abs/2106.15944v1

    • [eess.IV]RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
    Liming Wu, Shuo Han, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp
    http://arxiv.org/abs/2106.15753v1

    • [eess.IV]ResViT: Residual vision transformers for multi-modal medical image synthesis
    Onat Dalmaz, Mahmut Yurt, Tolga Çukur
    http://arxiv.org/abs/2106.16031v1

    • [eess.SP]Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction
    Zhizheng Zhang, Wen Song, Qiqiang Li
    http://arxiv.org/abs/2106.15842v1

    • [eess.SP]Graph Signal Restoration Using Nested Deep Algorithm Unrolling
    Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka, Stanley H. Chan, Yonina C. Eldar
    http://arxiv.org/abs/2106.15910v1

    • [eess.SP]HybridDeepRx: Deep Learning Receiver for High-EVM Signals
    Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama
    http://arxiv.org/abs/2106.16079v1

    • [eess.SP]Limited-Fronthaul Cell-Free Hybrid Beamforming with Distributed Deep Neural Network
    Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau
    http://arxiv.org/abs/2106.16194v1

    • [eess.SP]Resilient UAV Swarm Communications with Graph Convolutional Neural Network
    Zhiyu Mou, Feifei Gao, Jun Liu, Qihui Wu
    http://arxiv.org/abs/2106.16048v1

    • [math.NA]A parallel fast multipole method for a space-time boundary element method for the heat equation
    Raphael Watschinger, Michal Merta, Günther Of, Jan Zapletal
    http://arxiv.org/abs/2106.15911v1

    • [math.OC]AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization
    Feihu Huang, Heng Huang
    http://arxiv.org/abs/2106.16101v1

    • [math.ST]A Statistical Taylor Theorem and Extrapolation of Truncated Densities
    Constantinos Daskalakis, Vasilis Kontonis, Christos Tzamos, Manolis Zampetakis
    http://arxiv.org/abs/2106.15908v1

    • [math.ST]Mixed semimartingales: Volatility estimation in the presence of fractional noise
    Carsten Chong, Thomas Delerue, Guoying Li
    http://arxiv.org/abs/2106.16149v1

    • [math.ST]Predictive Model Degrees of Freedom in Linear Regression
    Bo Luan, Yoonkyung Lee, Yunzhang Zhu
    http://arxiv.org/abs/2106.15682v1

    • [physics.soc-ph]Switchover phenomenon induced by epidemic seeding on geometric networks
    Gergely Ódor, Domonkos Czifra, Júlia Komjáthy, László Lovász, Márton Karsai
    http://arxiv.org/abs/2106.16070v1

    • [physics.soc-ph]The rise of populism and the reconfiguration of the German political space
    Eckehard Olbrich, Sven Banisch
    http://arxiv.org/abs/2106.15717v1

    • [q-bio.NC]Reasoning about conscious experience with axiomatic and graphical mathematics
    Camilo Miguel Signorelli, Quanlong Wang, Bob Coecke
    http://arxiv.org/abs/2106.16061v1

    • [q-bio.NC]Tensor decomposition of higher-order correlations by nonlinear Hebbian plasticity
    Gabriel Koch Ocker, Michael A. Buice
    http://arxiv.org/abs/2106.15685v1

    • [q-bio.QM]Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms
    Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph Khoury, Jia Wu
    http://arxiv.org/abs/2106.16174v1

    • [stat.AP]Contamination mapping in Bangladesh using a multivariate spatial Bayesian model for left-censored data
    Indranil Sahoo, Arnab Hazra
    http://arxiv.org/abs/2106.15730v1

    • [stat.AP]Group Testing under Superspreading Dynamics
    Stratis Tsirtsis, Abir De, Lars Lorch, Manuel Gomez-Rodriguez
    http://arxiv.org/abs/2106.15988v1

    • [stat.AP]Scale-wise Variance Minimization for Optimal Virtual Signals: An Approach for Redundant Gyroscopes
    Yuming Zhang, Davide A. Cucci, Roberto Molinari, Stéphane Guerrier
    http://arxiv.org/abs/2106.15997v1

    • [stat.ME]Active-set algorithms based statistical inference for shape-restricted generalized additive Cox regression models
    Geng Deng, Guangning Xu, Qiang Fu, Xindong Wang, Jing Qin
    http://arxiv.org/abs/2106.15735v1

    • [stat.ME]AdaPT-GMM: Powerful and robust covariate-assisted multiple testing
    Patrick Chao, William Fithian
    http://arxiv.org/abs/2106.15812v1

    • [stat.ME]Adaptively Robust Geographically Weighted Regression
    Shonosuke Sugasawa, Daisuke Murakami
    http://arxiv.org/abs/2106.15811v1

    • [stat.ME]Analysis of COVID-19 evolution based on testing closeness of sequential data
    Tomoko Matsui, Nourddine Azzaoui, Daisuke Murakami
    http://arxiv.org/abs/2106.16094v1

    • [stat.ME]BONuS: Multiple multivariate testing with a data-adaptivetest statistic
    Chiao-Yu Yang, Lihua Let, Nhat Ho, Will Fithian
    http://arxiv.org/abs/2106.15743v1

    • [stat.ME]Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph
    Leo L. Duan, David B. Dunson
    http://arxiv.org/abs/2106.16120v1

    • [stat.ME]Bayesian clustering using random effects models and predictive projections
    Yinan Mao, David J. Nott
    http://arxiv.org/abs/2106.15847v1

    • [stat.ME]Developing flexible classes of distributions to account for both skewness and bimodality
    Jamil Ownuk, Ahmad Nezakati, Hossein Baghishani
    http://arxiv.org/abs/2106.16022v1

    • [stat.ME]Estimating Gaussian mixtures using sparse polynomial moment systems
    Julia Lindberg, Carlos Améndola, Jose Israel Rodriguez
    http://arxiv.org/abs/2106.15675v1

    • [stat.ME]Maximum likelihood estimation of hidden Markov models for continuous longitudinal data with missing responses and dropout
    Silvia Pandolfi, Francesco Bartolucci, Fulvia Pennoni
    http://arxiv.org/abs/2106.15948v1

    • [stat.ME]Non-parametric generalised newsvendor model
    Soham Ghosh, Sujay Mukhoti
    http://arxiv.org/abs/2106.15865v1

    • [stat.ME]On choosing optimal response transformations for dimension reduction
    Marina Masioti, Luke A. Prendergast, Amanda Shaker
    http://arxiv.org/abs/2106.15915v1

    • [stat.ME]Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches
    Lan Luo, Ling Zhou, Peter X. -K. Song
    http://arxiv.org/abs/2106.15794v1

    • [stat.ME]Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts
    Emmett Kendall, Brenden Beck, Joseph Antonelli
    http://arxiv.org/abs/2106.16124v1

    • [stat.ME]Testing normality of spatially indexed functional data
    Thomas Kuenzer, Siegfried Hörmann, Piotr Kokoszka
    http://arxiv.org/abs/2106.15839v1

    • [stat.ME]Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials
    Laura B. Balzer, Mark van der Laan, James Ayieko, Moses Kamya, Gabriel Chamie, Joshua Schwab, Diane V. Havlir, Maya L. Petersen
    http://arxiv.org/abs/2106.15737v1

    • [stat.ML]Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization
    Arthur Jacot, François Ged, Franck Gabriel, Berfin Şimşek, Clément Hongler
    http://arxiv.org/abs/2106.15933v1

    • [stat.ML]Fixed points of monotonic and (weakly) scalable neural networks
    Tomasz Piotrowski, Renato L. G. Cavalcante
    http://arxiv.org/abs/2106.16239v1

    • [stat.ML]Monte Carlo Variational Auto-Encoders
    Achille Thin, Nikita Kotelevskii, Arnaud Doucet, Alain Durmus, Eric Moulines, Maxim Panov
    http://arxiv.org/abs/2106.15921v1

    • [stat.ML]Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework
    Jacob Miller, Geoffrey Roeder, Tai-Danae Bradley
    http://arxiv.org/abs/2106.15666v1

    • [stat.ML]Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence
    Ghassen Jerfel, Serena Wang, Clara Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan
    http://arxiv.org/abs/2106.15980v1