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 -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 -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