astro-ph.CO - 宇宙学和天体物理学
cond-mat.dis-nn - 无序系统与神经网络
cs.AI - 人工智能
cs.AR - 硬件体系结构
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.ET - 新兴技术
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
cs.MM - 多媒体
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.SI - 社交网络与信息网络
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.CT - 范畴论
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.hist-ph - 物理历史与哲学
physics.soc-ph - 物理学与社会
q-bio.NC - 神经元与认知
q-bio.PE - 人口与发展
q-bio.QM - 定量方法
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.CO]Satellite galaxy abundance dependency on cosmology in Magneticum simulations
• [cond-mat.dis-nn]Cycle-Tree Guided Attack of Random K-Core
• [cs.AI]Partial Counterfactual Identification from Observational and Experimental Data
• [cs.AI]Program Transfer and Ontology Awareness for Semantic Parsing in KBQA
• [cs.AI]Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture
• [cs.AR]Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression
• [cs.CL]A large scale lexical and semantic analysis of Spanish language variations in Twitter
• [cs.CL]Advances in Multi-turn Dialogue Comprehension: A Survey
• [cs.CL]Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms
• [cs.CL]Are you doing what I say? On modalities alignment in ALFRED
• [cs.CL]Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
• [cs.CL]DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer
• [cs.CL]Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
• [cs.CL]Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes
• [cs.CL]Generalizing to New Domains by Mapping Natural Language to Lifted LTL
• [cs.CL]Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
• [cs.CL]LaoPLM: Pre-trained Language Models for Lao
• [cs.CL]Learned Construction Grammars Converge Across Registers Given Increased Exposure
• [cs.CL]LightSeq: Accelerated Training for Transformer-based Models on GPUs
• [cs.CL]Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
• [cs.CL]On Releasing Annotator-Level Labels and Information in Datasets
• [cs.CL]OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
• [cs.CL]Pre-trained Language Models in Biomedical Domain: A Systematic Survey
• [cs.CL]Quantifying Cognitive Factors in Lexical Decline
• [cs.CL]SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text
• [cs.CL]SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary
• [cs.CL]TCube: Domain-Agnostic Neural Time-series Narration
• [cs.CL]Topic Model Supervised by Understanding Map
• [cs.CL]UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
• [cs.CL]We’ve had this conversation before: A Novel Approach to Measuring Dialog Similarity
• [cs.CL]Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning
• [cs.CL]text2sdg: An open-source solution to monitoring sustainable development goals from text
• [cs.CR]Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM
• [cs.CR]Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection
• [cs.CV]ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
• [cs.CV]AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
• [cs.CV]Can machines learn to see without visual databases?
• [cs.CV]Continuous Conditional Random Field Convolution for Point Cloud Segmentation
• [cs.CV]Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
• [cs.CV]DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios
• [cs.CV]Deep Fusion Prior for Multi-Focus Image Super Resolution Fusion
• [cs.CV]Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
• [cs.CV]Detecting Damage Building Using Real-time Crowdsourced Images and Transfer Learning
• [cs.CV]Development and testing of an image transformer for explainable autonomous driving systems
• [cs.CV]EchoVPR: Echo State Networks for Visual Place Recognition
• [cs.CV]Event-Based high-speed low-latency fiducial marker tracking
• [cs.CV]Fine-Grained Adversarial Semi-supervised Learning
• [cs.CV]Fourier-based Video Prediction through Relational Object Motion
• [cs.CV]Hiding Images into Images with Real-world Robustness
• [cs.CV]Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos
• [cs.CV]HyperCube: Implicit Field Representations of Voxelized 3D Models
• [cs.CV]Improved Heatmap-based Landmark Detection
• [cs.CV]Improved Pillar with Fine-grained Feature for 3D Object Detection
• [cs.CV]Improving Binary Neural Networks through Fully Utilizing Latent Weights
• [cs.CV]Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
• [cs.CV]Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition
• [cs.CV]Learning Efficient Multi-Agent Cooperative Visual Exploration
• [cs.CV]M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles
• [cs.CV]MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
• [cs.CV]Monocular Depth Estimation with Sharp Boundary
• [cs.CV]Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
• [cs.CV]NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search
• [cs.CV]Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
• [cs.CV]Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo
• [cs.CV]No way to crop: On robust image crop localization
• [cs.CV]On Exploring and Improving Robustness of Scene Text Detection Models
• [cs.CV]Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
• [cs.CV]Open-Set Recognition: A Good Closed-Set Classifier is All You Need
• [cs.CV]PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation
• [cs.CV]Relation-aware Video Reading Comprehension for Temporal Language Grounding
• [cs.CV]Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
• [cs.CV]Rethinking supervised pre-training for better downstream transferring
• [cs.CV]Rethinking the Spatial Route Prior in Vision-and-Language Navigation
• [cs.CV]Satellite Image Semantic Segmentation
• [cs.CV]Seamless Copy Move Manipulation in Digital Images
• [cs.CV]Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
• [cs.CV]SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer
• [cs.CV]Spectral analysis of re-parameterized light fields
• [cs.CV]TAda! Temporally-Adaptive Convolutions for Video Understanding
• [cs.CV]Topic Scene Graph Generation by Attention Distillation from Caption
• [cs.CV]Trivial or impossible — dichotomous data difficulty masks model differences (on ImageNet and beyond)
• [cs.CV]UnfairGAN: An Enhanced Generative Adversarial Network for Raindrop Removal from A Single Image
• [cs.CV]UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection
• [cs.CV]ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation
• [cs.CV]Video Is Graph: Structured Graph Module for Video Action Recognition
• [cs.CV]Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
• [cs.CY]A Deployment Model to Extend Ethically Aligned AI Implementation Method ECCOLA
• [cs.CY]A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing
• [cs.CY]Addressing the Recruitment and Retention of Female Students in Computer Science at Third Level
• [cs.CY]Increasing Gender Balance Across Academic Staffing in Computer Science — case study
• [cs.CY]Prediction of Political Leanings of Chinese Speaking Twitter Users
• [cs.CY]Towards formalization and monitoring of microscopic traffic parameters using temporal logic
• [cs.CY]Training Computing Educators to Become Computing Education Researchers
• [cs.DB]Fallout: Distributed Systems Testing as a Service
• [cs.DC]HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing
• [cs.DC]Impact of delay classes on the data structure in IOTA
• [cs.DC]Parallel Batched Interpolation Search Tree
• [cs.DC]Peformance Prediction for Coarse-Grained Locking: MCS Case
• [cs.DC]Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
• [cs.DL]Dynamics of scientific collaboration networks due to academic migrations
• [cs.DS]Finding Relevant Points for Nearest-Neighbor Classification
• [cs.ET]On Wave-Based Majority Gates with Cellular Automata
• [cs.HC]A Time-Optimized Content Creation Workflow for Remote Teaching
• [cs.HC]Inclusive Design: Accessibility Settings for People with Cognitive Disabilities
• [cs.HC]Open Player Modeling: Empowering Players through Data Transparency
• [cs.IR]Aspect-driven User Preference and News Representation Learning for News Recommendation
• [cs.IR]Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
• [cs.IR]Embracing Structure in Data for Billion-Scale Semantic Product Search
• [cs.IR]Fast Forward Indexes for Efficient Document Ranking
• [cs.IR]Hotel Preference Rank based on Online Customer Review
• [cs.IR]Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
• [cs.IR]Optimizing Ranking Systems Online as Bandits
• [cs.IR]Smart Crawling: A New Approach toward Focus Crawling from Twitter
• [cs.IT]Blind Modulo Analog-to-Digital Conversion of Vector Processes
• [cs.IT]Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC
• [cs.IT]Generalized Memory Approximate Message Passing
• [cs.IT]Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices
• [cs.IT]Uplink NOMA For STAR-RIS Networks
• [cs.IT]Uplink Performance of Cell-Free Massive MIMO Over Spatially Correlated Rician Fading Channels
• [cs.LG]A global convergence theory for deep ReLU implicit networks via over-parameterization
• [cs.LG]Across-Task Neural Architecture Search via Meta Learning
• [cs.LG]Action-Sufficient State Representation Learning for Control with Structural Constraints
• [cs.LG]Balancing Average and Worst-case Accuracy in Multitask Learning
• [cs.LG]CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling
• [cs.LG]Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone
• [cs.LG]Couple Learning: Mean Teacher method with pseudo-labels improves semi-supervised deep learning results
• [cs.LG]Crystal Diffusion Variational Autoencoder for Periodic Material Generation
• [cs.LG]Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
• [cs.LG]Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits
• [cs.LG]DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer’s disease
• [cs.LG]Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration
• [cs.LG]Deep Federated Learning for Autonomous Driving
• [cs.LG]Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells
• [cs.LG]Expressivity and Trainability of Quadratic Networks
• [cs.LG]Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations
• [cs.LG]GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
• [cs.LG]Gated Information Bottleneck for Generalization in Sequential Environments
• [cs.LG]Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
• [cs.LG]GraPE: fast and scalable Graph Processing and Embedding
• [cs.LG]Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
• [cs.LG]Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables
• [cs.LG]Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
• [cs.LG]Implicit Bias of Linear Equivariant Networks
• [cs.LG]Information Theoretic Structured Generative Modeling
• [cs.LG]Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
• [cs.LG]Large Language Models Can Be Strong Differentially Private Learners
• [cs.LG]Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
• [cs.LG]Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
• [cs.LG]Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
• [cs.LG]Learning with Algorithmic Supervision via Continuous Relaxations
• [cs.LG]Observing a group to infer individual characteristics
• [cs.LG]Offline Reinforcement Learning with Implicit Q-Learning
• [cs.LG]On the Security Risks of AutoML
• [cs.LG]Parameterizing Activation Functions for Adversarial Robustness
• [cs.LG]Partial Variable Training for Efficient On-Device Federated Learning
• [cs.LG]Planning from Pixels in Environments with Combinatorially Hard Search Spaces
• [cs.LG]Predicting the Efficiency of CO Sequestering by Metal Organic Frameworks Through Machine Learning Analysis of Structural and Electronic Properties
• [cs.LG]Predicting the Stereoselectivity of Chemical Transformations by Machine Learning
• [cs.LG]Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games
• [cs.LG]Real-time EEG-based Emotion Recognition using Discrete Wavelet Transforms on Full and Reduced Channel Signals
• [cs.LG]Relative Molecule Self-Attention Transformer
• [cs.LG]Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction
• [cs.LG]Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement Learning
• [cs.LG]Signal Processing on Cell Complexes
• [cs.LG]SoftNeuro: Fast Deep Inference using Multi-platform Optimization
• [cs.LG]StARformer: Transformer with State-Action-Reward Representations
• [cs.LG]TTRS: Tinkoff Transactions Recommender System benchmark
• [cs.LG]Temporal Abstraction in Reinforcement Learning with the Successor Representation
• [cs.LG]Uncertainty-based out-of-distribution detection requires suitable function space priors
• [cs.LG]Which Samples Should be Learned First: Easy or Hard?
• [cs.LG]Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks
• [cs.LG]Zero-bias Deep Neural Network for Quickest RF Signal Surveillance
• [cs.LO]Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula
• [cs.MM]Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution
• [cs.NE]Evolving Evolutionary Algorithms with Patterns
• [cs.NE]Learning Division with Neural Arithmetic Logic Modules
• [cs.NE]Mining the Weights Knowledge for Optimizing Neural Network Structures
• [cs.NE]Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design
• [cs.NI]Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
• [cs.RO]A caster-wheel-aware MPC-based motion planner for mobile robotics
• [cs.RO]Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV
• [cs.RO]Auditing Robot Learning for Safety and Compliance during Deployment
• [cs.RO]Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
• [cs.RO]Concepts of Self-maintaining Robots and Their Design
• [cs.RO]GM-Livox: An Integrated Framework for Large-Scale Map Construction with Multiple Non-repetitive Scanning LiDARs
• [cs.RO]Moral-Trust Violation vs Performance-Trust Violation by a Robot: Which Hurts More?
• [cs.RO]Planning Sensing Sequences for Subsurface 3D Tumor Mapping
• [cs.RO]Robust Glare Detection: Review, Analysis, and Dataset Release
• [cs.RO]System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge
• [cs.SD]Adapting TTS models For New Speakers using Transfer Learning
• [cs.SD]Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes
• [cs.SD]MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech
• [cs.SD]Music Sentiment Transfer
• [cs.SI]BotNet Detection On Social Media
• [cs.SI]Extracting Feelings of People Regarding COVID-19 by Social Network Mining
• [cs.SI]Perspective-taking to Reduce Affective Polarization on Social Media
• [cs.SI]Spatial Data Mining of Public Transport Incidents reported in Social Media
• [cs.SI]Structural invariants in individuals language use: the “ego network” of words
• [cs.SI]Subnetwork Constraints for Tighter Upper Bounds and Exact Solution of the Clique Partitioning Problem
• [eess.AS]BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications
• [eess.AS]DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
• [eess.AS]Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models
• [eess.AS]SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition
• [eess.AS]Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection
• [eess.AS]The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction
• [eess.AS]VarArray: Array-Geometry-Agnostic Continuous Speech Separation
• [eess.AS]Word Order Does Not Matter For Speech Recognition
• [eess.IV]Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning
• [eess.IV]Early Melanoma Diagnosis with Sequential Dermoscopic Images
• [eess.IV]MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis
• [eess.IV]SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
• [eess.SP]EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer’s disease and schizophrenia
• [eess.SP]Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar
• [eess.SP]Phase Noise Resilient Three-Level Continuous-Phase Modulation for DFT-Spread OFDM
• [eess.SP]Smoothed Separable Nonnegative Matrix Factorization
• [math.CT]A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
• [math.OC]Sparsity in Partially Controllable Linear Systems
• [math.PR]Long-term balanced allocation via thinning
• [math.PR]Tails of bivariate stochastic recurrence equation with triangular matrices
• [math.ST]Efficient Bayesian network structure learning via local Markov boundary search
• [math.ST]Identification and estimation of nonignorable missing outcome mean without identifying the full data distribution
• [math.ST]Robustness of statistical models
• [math.ST]Uniform concentration bounds for frequencies of rare events
• [physics.hist-ph]Characterizing the Immaterial. Noninvasive Imaging and Analysis of Stephen Be
5000
nton’s Hologram Engine no. 9
• [physics.soc-ph]Emergence of Robust and Efficient Networks in a Family of Attachment Models
• [physics.soc-ph]The physics of higher-order interactions in complex systems
• [q-bio.NC]Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
• [q-bio.PE]EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
• [q-bio.QM]Genetic Regulation of Cytokine Response in Patients with Acute Community-acquired Pneumonia
• [quant-ph]A scalable and fast artificial neural network syndrome decoder for surface codes
• [quant-ph]Learnability of the output distributions of local quantum circuits
• [stat.AP]A Response to Philippe Lemoine’s Critique on our Paper “Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S.”
• [stat.AP]Do Ceasefires Work? A Bayesian autoregressive hidden Markov model to explore how ceasefires shape the dynamics of violence in civil war
• [stat.AP]Evaluating the Impact of State-Level Public Masking Mandates on New COVID-19 Cases and Deaths in the United States: A Demonstration of the Causal Roadmap
• [stat.AP]Exploring the Endogenous Nature of Meme Stocks Using the Log-Periodic Power Law Model and Confidence Indicator
• [stat.AP]Optimal Time Plan in Accelerated Degradation Testing
• [stat.AP]Quantifying the Risk of Wildfire Ignition by Power Lines under Extreme Weather Conditions
• [stat.AP]Quantile-based hydrological modelling
• [stat.AP]Wind-robust sound event detection and denoising for bioacoustics
• [stat.CO]yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
• [stat.ME]A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Binary Classification
• [stat.ME]A simple meta-analysis approach for exploratory phase I dose-finding studies
• [stat.ME]Bayesian Regularization for Functional Graphical Models
• [stat.ME]Causal Mediation Analysis: Selection with Asymptotically Valid Inference
• [stat.ME]Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation
• [stat.ME]Nonnegative spatial factorization
• [stat.ME]Nonparametric Group Variable Selectionwith Multivariate Response forConnectome-Based Prediction of Cognitive Scores
• [stat.ME]SMART Binary: Sample Size Calculation for Comparing Adaptive Interventions in SMART studies with Longitudinal Binary Outcomes
• [stat.ME]Spatial Censored Regression Models in R: The CensSpatial package
• [stat.ME]The Terminating-Knockoff Filter: Fast High-Dimensional Variable Selection with False Discovery Rate Control
• [stat.ME]Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data
• [stat.ML]CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search
• [stat.ML]Deviance Matrix Factorization
• [stat.ML]Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
• [stat.ML]On the Self-Penalization Phenomenon in Feature Selection
• [stat.ML]Single Independent Component Recovery and Applications
• [stat.ML]Tracking the risk of a deployed model and detecting harmful distribution shifts
·····································
• [astro-ph.CO]Satellite galaxy abundance dependency on cosmology in Magneticum simulations
Antonio Ragagnin, Alessandra Fumagalli, Tiago Castro, Klaus Dolag, Alexandro Saro, Matteo Costanzi, Sebastian Bocquet
http://arxiv.org/abs/2110.05498v1
• [cond-mat.dis-nn]Cycle-Tree Guided Attack of Random K-Core
Hai-Jun Zhou
http://arxiv.org/abs/2110.05940v1
• [cs.AI]Partial Counterfactual Identification from Observational and Experimental Data
Junzhe Zhang, Jin Tian, Elias Bareinboim
http://arxiv.org/abs/2110.05690v1
• [cs.AI]Program Transfer and Ontology Awareness for Semantic Parsing in KBQA
Shulin Cao, Jiaxin Shi, Zijun Yao, Lei Hou, Juanzi Li
http://arxiv.org/abs/2110.05743v1
• [cs.AI]Urban traffic dynamic rerouting framework: A DRL-based model with fog-cloud architecture
Runjia Du, Sikai Chen, Jiqian Dong, Tiantian Chen, Xiaowen Fu, Samuel Labi
http://arxiv.org/abs/2110.05532v1
• [cs.AR]Memory-Efficient CNN Accelerator Based on Interlayer Feature Map Compression
Zhuang Shao, Xiaoliang Chen, Li Du, Lei Chen, Yuan Du, Wei Zhuang, Huadong Wei, Chenjia Xie, Zhongfeng Wang
http://arxiv.org/abs/2110.06155v1
• [cs.CL]A large scale lexical and semantic analysis of Spanish language variations in Twitter
Eric S. Tellez, Daniela Moctezuma, Sabino Miranda, Mario Graff
http://arxiv.org/abs/2110.06128v1
• [cs.CL]Advances in Multi-turn Dialogue Comprehension: A Survey
Zhuosheng Zhang, Hai Zhao
http://arxiv.org/abs/2110.04984v2
• [cs.CL]Anatomy of OntoGUM—Adapting GUM to the OntoNotes Scheme to Evaluate Robustness of SOTA Coreference Algorithms
Yilun Zhu, Sameer Pradhan, Amir Zeldes
http://arxiv.org/abs/2110.05727v1
• [cs.CL]Are you doing what I say? On modalities alignment in ALFRED
Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi, Yau-Shian Wang
http://arxiv.org/abs/2110.05665v1
• [cs.CL]Dealing with Disagreements: Looking Beyond the Majority Vote in Subjective Annotations
Aida Mostafazadeh Davani, Mark Díaz, Vinodkumar Prabhakaran
http://arxiv.org/abs/2110.05719v1
• [cs.CL]DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer
Haozhe Ji, Minlie Huang
http://arxiv.org/abs/2110.05999v1
• [cs.CL]Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation
Weiting Tan, Shuoyang Ding, Huda Khayrallah, Philipp Koehn
http://arxiv.org/abs/2110.05691v1
• [cs.CL]Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes
M. Arana-Catania, Rob Procter, Yulan He, Maria Liakata
http://arxiv.org/abs/2110.05847v1
• [cs.CL]Generalizing to New Domains by Mapping Natural Language to Lifted LTL
Eric Hsiung, Hiloni Mehta, Junchi Chu, Xinyu Liu, Roma Patel, Stefanie Tellex, George Konidaris
http://arxiv.org/abs/2110.05603v1
• [cs.CL]Investigation on Data Adaptation Techniques for Neural Named Entity Recognition
Evgeniia Tokarchuk, David Thulke, Weiyue Wang, Christian Dugast, Hermann Ney
http://arxiv.org/abs/2110.05892v1
• [cs.CL]LaoPLM: Pre-trained Language Models for Lao
Nankai Lin, Yingwen Fu, Ziyu Yang, Shengyi Jiang
http://arxiv.org/abs/2110.05896v1
• [cs.CL]Learned Construction Grammars Converge Across Registers Given Increased Exposure
Jonathan Dunn, Harish Tayyar Madabushi
http://arxiv.org/abs/2110.05663v1
• [cs.CL]LightSeq: Accelerated Training for Transformer-based Models on GPUs
Xiaohui Wang, Ying Xiong, Xian Qian, Yang Wei, Lei Li, Mingxuan Wang
http://arxiv.org/abs/2110.05722v1
• [cs.CL]Mention Memory: incorporating textual knowledge into Transformers through entity mention attention
Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William Cohen
http://arxiv.org/abs/2110.06176v1
• [cs.CL]On Releasing Annotator-Level Labels and Information in Datasets
Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Mark Díaz
http://arxiv.org/abs/2110.05699v1
• [cs.CL]OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
Prem Selvaraj, Gokul NC, Pratyush Kumar, Mitesh Khapra
http://arxiv.org/abs/2110.05877v1
• [cs.CL]Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei, Prayag Tiwari, Zhao Li, Jie fu
http://arxiv.org/abs/2110.05006v2
• [cs.CL]Quantifying Cognitive Factors in Lexical Decline
David Francis, Ella Rabinovich, Farhan Samir, David Mortensen, Suzanne Stevenson
http://arxiv.org/abs/2110.05775v1
• [cs.CL]SEPP: Similarity Estimation of Predicted Probabilities for Defending and Detecting Adversarial Text
Hoang-Quoc Nguyen-Son, Seira Hidano, Kazuhide Fukushima, Shinsaku Kiyomoto
http://arxiv.org/abs/2110.05748v1
• [cs.CL]SportsSum2.0: Generating High-Quality Sports News from Live Text Commentary
Jiaan Wang, Zhixu Li, Qiang Yang, Jianfeng Qu, Zhigang Chen, Qingsheng Liu, Guoping Hu
http://arxiv.org/abs/2110.05750v1
• [cs.CL]TCube: Domain-Agnostic Neural Time-series Narration
Mandar Sharma, John S. Brownstein, Naren Ramakrishnan
http://arxiv.org/abs/2110.05633v1
• [cs.CL]Topic Model Supervised by Understanding Map
Gangli Liu
http://arxiv.org/abs/2110.06043v1
• [cs.CL]UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
Sanyuan Chen, Yu Wu, Chengyi Wang, Zhengyang Chen, Zhuo Chen, Shujie Liu, Jian Wu, Yao Qian, Furu Wei, Jinyu Li, Xiangzhan Yu
http://arxiv.org/abs/2110.05752v1
• [cs.CL]We’ve had this conversation before: A Novel Approach to Measuring Dialog Similarity
Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor
http://arxiv.org/abs/2110.05780v1
• [cs.CL]Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning
Shaohua Wu, Xudong Zhao, Tong Yu, Rongguo Zhang, Chong Shen, Hongli Liu, Feng Li, Hong Zhu, Jiangang Luo, Liang Xu, Xuanwei Zhang
http://arxiv.org/abs/2110.04725v2
• [cs.CL]text2sdg: An open-source solution to monitoring sustainable development goals from text
Dirk U. Wulff, Rui Mata, Dominik S. Meier
http://arxiv.org/abs/2110.05856v1
• [cs.CR]Privacy-Preserving Phishing Email Detection Based on Federated Learning and LSTM
Yuwei Sun, Ng Chong, Hideya Ochiai
http://arxiv.org/abs/2110.06025v1
• [cs.CR]Sharing FANCI Features: A Privacy Analysis of Feature Extraction for DGA Detection
Benedikt Holmes, Arthur Drichel, Ulrike Meyer
http://arxiv.org/abs/2110.05849v1
• [cs.CV]ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins, Shubham Goel, Achleshwar Luthra, Leon Xu, Kenan Deng, Xi Zhang, Tomas F. Yago Vicente, Himanshu Arora, Thomas Dideriksen, Matthieu Guillaumin, Jitendra Malik
http://arxiv.org/abs/2110.06199v1
• [cs.CV]AVoE: A Synthetic 3D Dataset on Understanding Violation of Expectation for Artificial Cognition
Arijit Dasgupta, Jiafei Duan, Marcelo H. Ang Jr, Cheston Tan
http://arxiv.org/abs/2110.05836v1
• [cs.CV]Can machines learn to see without visual databases?
Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli
http://arxiv.org/abs/2110.05973v1
• [cs.CV]Continuous Conditional Random Field Convolution for Point Cloud Segmentation
Fei Yang, Franck Davoine, Huan Wang, Zhong Jin
http://arxiv.org/abs/2110.06085v1
• [cs.CV]Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be
Valerio Biscione, Jeffrey S. Bowers
http://arxiv.org/abs/2110.05861v1
• [cs.CV]DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios
Lei Sun
http://arxiv.org/abs/2110.05075v2
• [cs.CV]Deep Fusion Prior for Multi-Focus Image Super Resolution Fusion
Yuanjie Gu, Zhibo Xiao, Hailun Wang, Cheng Liu, Shouyu Wang
http://arxiv.org/abs/2110.05706v1
• [cs.CV]Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg
http://arxiv.org/abs/2110.05655v1
• [cs.CV]Detecting Damage Building Using Real-time Crowdsourced Images and Transfer Learning
Gaurav Chachra, Qingkai Kong, Jim Huang, Srujay Korlakunta, Jennifer Grannen, Alexander Robson, Richard Allen
http://arxiv.org/abs/2110.05762v1
• [cs.CV]Development and testing of an image transformer for explainable autonomous driving systems
Jiqian Dong, Sikai Chen, Shuya Zong, Tiantian Chen, Mohammad Miralinaghi, Samuel Labi
http://arxiv.org/abs/2110.05559v1
• [cs.CV]EchoVPR: Echo State Networks for Visual Place Recognition
Anil Ozdemir, Andrew B. Barron, Andrew Philippides, Michael Mangan, Eleni Vasilaki, Luca Manneschi
http://arxiv.org/abs/2110.05572v1
• [cs.CV]Event-Based high-speed low-latency fiducial marker tracking
Adam Loch, Germain Haessig, Markus Vincze
http://arxiv.org/abs/2110.05819v1
• [cs.CV]Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai, Federico Pernici, Francesco Turchini, Alberto Del Bimbo
http://arxiv.org/abs/2110.05848v1
• [cs.CV]Fourier-based Video Prediction through Relational Object Motion
Malte Mosbach, Sven Behnke
http://arxiv.org/abs/2110.05881v1
• [cs.CV]Hiding Images into Images with Real-world Robustness
Qichao Ying, Hang Zhou, Xianhan Zeng, Haisheng Xu, Zhenxing Qian, Xinpeng Zhang
http://arxiv.org/abs/2110.05689v1
• [cs.CV]Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos
Reza Ghoddoosian, Saif Sayed, Vassilis Athitsos
http://arxiv.org/abs/2110.05697v1
• [cs.CV]HyperCube: Implicit Field Representations of Voxelized 3D Models
Magdalena Proszewska, Marcin Mazur, Tomasz Trzciński, Przemysław Spurek
http://arxiv.org/abs/2110.05770v1
• [cs.CV]Improved Heatmap-based Landmark Detection
Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li
http://arxiv.org/abs/2110.05676v1
• [cs.CV]Improved Pillar with Fine-grained Feature for 3D Object Detection
Jiahui Fu, Guanghui Ren, Yunpeng Chen, Si Liu
http://arxiv.org/abs/2110.06049v1
• [cs.CV]Improving Binary Neural Networks through Fully Utilizing Latent Weights
Weixiang Xu, Qiang Chen, Xiangyu He, Peisong Wang, Jian Cheng
http://arxiv.org/abs/2110.05850v1
• [cs.CV]Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents
Shivansh Patel, Saim Wani, Unnat Jain, Alexander Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang
http://arxiv.org/abs/2110.05769v1
• [cs.CV]Joint Learning On The Hierarchy Representation for Fine-Grained Human Action Recognition
Mei Chee Leong, Hui Li Tan, Haosong Zhang, Liyuan Li, Feng Lin, Joo Hwee Lim
http://arxiv.org/abs/2110.05853v1
• [cs.CV]Learning Efficient Multi-Agent Cooperative Visual Exploration
Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu
http://arxiv.org/abs/2110.05734v1
• [cs.CV]M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles
Duc Manh Nguyen, Sang-Woong Lee
http://arxiv.org/abs/2110.06164v1
• [cs.CV]MGH: Metadata Guided Hypergraph Modeling for Unsupervised Person Re-identification
Yiming Wu, Xintian Wu, Xi Li, Jian Tian
http://arxiv.org/abs/2110.05886v1
• [cs.CV]Monocular Depth Estimation with Sharp Boundary
Xin Yang, Qingling Chang, Xinlin Liu, Yan Cui
http://arxiv.org/abs/2110.05885v1
• [cs.CV]Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos
Zongmeng Zhang, Xianjing Han, Xuemeng Song, Yan Yan, Liqiang Nie
http://arxiv.org/abs/2110.06058v1
• [cs.CV]NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search
Renbo Tu, Mikhail Khodak, Nicholas Roberts, Ameet Talwalkar
http://arxiv.org/abs/2110.05668v1
• [cs.CV]Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari, Luc Van Gool
http://arxiv.org/abs/2110.05621v1
• [cs.CV]Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo
Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool
http://arxiv.org/abs/2110.05594v1
• [cs.CV]No way to crop: On robust image crop localization
Qichao Ying, Xiaoxiao Hu, Hang Zhou, Xiangyu Zhang, Zhengxin You, Zhenxing Qian
http://arxiv.org/abs/2110.05687v1
• [cs.CV]On Exploring and Improving Robustness of Scene Text Detection Models
Shilian Wu, Wei Zhai, Yongrui Li, Kewei Wang, Zengfu Wang
http://arxiv.org/abs/2110.05700v1
• [cs.CV]Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization
Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen
http://arxiv.org/abs/2110.05741v1
• [cs.CV]Open-Set Recognition: A Good Closed-Set Classifier is All You Need
Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman
http://arxiv.org/abs/2110.06207v1
• [cs.CV]PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation
Hualie Jiang, Laiyan Ding, Junjie Hu, Rui Huang
http://arxiv.org/abs/2110.05839v1
• [cs.CV]Relation-aware Video Reading Comprehension for Temporal Language Grounding
Jialin Gao, Xin Sun, Mengmeng Xu, Xi Zhou, Bernard Ghanem
http://arxiv.org/abs/2110.05717v1
• [cs.CV]Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
Christoph Wick, Jochen Zöllner, Tobias Grüning
http://arxiv.org/abs/2110.05909v1
• [cs.CV]Rethinking supervised pre-training for better downstream transferring
Yutong Feng, Jianwen Jiang, Mingqian Tang, Rong Jin, Yue Gao
http://arxiv.org/abs/2110.06014v1
• [cs.CV]Rethinking the Spatial Route Prior in Vision-and-Language Navigation
Xinzhe Zhou, Wei Liu, Yadong Mu
http://arxiv.org/abs/2110.05728v1
• [cs.CV]Satellite Image Semantic Segmentation
Eric Guérin, Killian Oechslin, Christian Wolf, Benoît Martinez
http://arxiv.org/abs/2110.05812v1
• [cs.CV]Seamless Copy Move Manipulation in Digital Images
Tanzila Qazi, Mushtaq Ali, Khizar Hayat
http://arxiv.org/abs/2110.05747v1
• [cs.CV]Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu
http://arxiv.org/abs/2110.06161v1
• [cs.CV]SlideGraph+: Whole Slide Image Level Graphs to Predict HER2Status in Breast Cancer
Wenqi Lu, Michael Toss, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas
http://arxiv.org/abs/2110.06042v1
• [cs.CV]Spectral analysis of re-parameterized light fields
Martin Alain, Aljosa Smolic
http://arxiv.org/abs/2110.06064v1
• [cs.CV]TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang, Shiwei Zhang, Liang Pan, Zhiwu Qing, Mingqian Tang, Ziwei Liu, Marcelo H. Ang Jr
http://arxiv.org/abs/2110.06178v1
• [cs.CV]Topic Scene Graph Generation by Attention Distillation from Caption
W. Wang, R. Wang, X. Chen
http://arxiv.org/abs/2110.05731v1
• [cs.CV]Trivial or impossible — dichotomous data difficulty masks model differences (on ImageNet and beyond)
Kristof Meding, Luca M. Schulze Buschoff, Robert Geirhos, Felix A. Wichmann
http://arxiv.org/abs/2110.05922v1
• [cs.CV]UnfairGAN: An Enhanced Generative Adversarial Network for Raindrop Removal from A Single Image
Duc Manh Nguyen, Sang-Woong Lee
http://arxiv.org/abs/2110.05523v1
• [cs.CV]UrbanNet: Leveraging Urban Maps for Long Range 3D Object Detection
Juan Carrillo, Steven Waslander
http://arxiv.org/abs/2110.05561v1
• [cs.CV]ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation
Aiden Seungjoon Lee, Hanseok Oh, Minjoon Seo
http://arxiv.org/abs/2110.05146v2
• [cs.CV]Video Is Graph: Structured Graph Module for Video Action Recognition
Rong-Chang Li, Tianyang Xu, Xiao-Jun Wu, Josef Kittler
http://arxiv.org/abs/2110.05904v1
• [cs.CV]Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé
http://arxiv.org/abs/2110.05926v1
• [cs.CY]A Deployment Model to Extend Ethically Aligned AI Implementation Method ECCOLA
Jani Antikainen, Mamia Agbese, Hanna-Kaisa Alanen, Erika Halme, Hannakaisa Isomäki, Marianna Jantunen, Kai-Kristian Kemell, Rebekah Rousi, Heidi Vainio-Pekka, Ville Vakkuri
http://arxiv.org/abs/2110.05933v1
• [cs.CY]A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing
Jonas Wanner, Christopher Wissuchek, Giacomo Welsch, Christian Janiesch
http://arxiv.org/abs/2110.06124v1
• [cs.CY]Addressing the Recruitment and Retention of Female Students in Computer Science at Third Level
Susan McKeever, Deirdre Lillis
http://arxiv.org/abs/2110.06090v1
• [cs.CY]Increasing Gender Balance Across Academic Staffing in Computer Science — case study
Susan Mckeever, Deirdre Lillis
http://arxiv.org/abs/2110.06094v1
• [cs.CY]Prediction of Political Leanings of Chinese Speaking Twitter Users
Fenglei Gu, Duoji Jiang
http://arxiv.org/abs/2110.05723v1
• [cs.CY]Towards formalization and monitoring of microscopic traffic parameters using temporal logic
Mariam Nour, Mohamed H. Zaki
http://arxiv.org/abs/2110.06208v1
• [cs.CY]Training Computing Educators to Become Computing Education Researchers
Jeffrey C. Carver, Sarah Heckman, Mark Sherriff
http://arxiv.org/abs/2110.05560v1
• [cs.DB]Fallout: Distributed Systems Testing as a Service
Guy Bolton King, Sean McCarthy, Pushkala Pattabhiraman, Jake Luciani, Matt Fleming
http://arxiv.org/abs/2110.05543v1
• [cs.DC]HUNTER: AI based Holistic Resource Management for Sustainable Cloud Computing
Shreshth Tuli, Sukhpal Singh Gill, Minxian Xu, Peter Garraghan, Rami Bahsoon, Scharam Dustdar, Rizos Sakellariou, Omer Rana, Rajkumar Buyya, Giuliano Casale, Nicholas R. Jennings
http://arxiv.org/abs/2110.05529v1
• [cs.DC]Impact of delay classes on the data structure in IOTA
Andreas Penzkofer, Olivia Saa, Daria Dziubałtowska
http://arxiv.org/abs/2110.06003v1
• [cs.DC]Parallel Batched Interpolation Search Tree
Vitaly Aksenov, Ilya Kokorin, Alena Martsenyuk
http://arxiv.org/abs/2110.05540v1
• [cs.DC]Peformance Prediction for Coarse-Grained Locking: MCS Case
Vitaly Aksenov, Daniil Bolotov, Petr Kuznetsov
http://arxiv.org/abs/2110.05545v1
• [cs.DC]Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
Jayashree Mohan, Amar Phanishayee, Janardhan Kulkarni, Vijay Chidambaram
http://arxiv.org/abs/2110.06073v1
• [cs.DL]Dynamics of scientific collaboration networks due to academic migrations
Pavlos Paraskevopoulos, Chiara Boldrini, Andrea Passarella, Marco Conti
http://arxiv.org/abs/2110.06009v1
• [cs.DS]Finding Relevant Points for Nearest-Neighbor Classification
David Eppstein
http://arxiv.org/abs/2110.06163v1
• [cs.ET]On Wave-Based Majority Gates with Cellular Automata
Genaro J. Martinez, Andrew Adamatzky, Shigeru Ninagawa, Kenichi Morita
http://arxiv.org/abs/2110.06013v1
• [cs.HC]A Time-Optimized Content Creation Workflow for Remote Teaching
Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
http://arxiv.org/abs/2110.05601v1
• [cs.HC]Inclusive Design: Accessibility Settings for People with Cognitive Disabilities
Trae Waggoner, Julia Ann Jose, Ashwin Nair, Sudarsan Manikandan
http://arxiv.org/abs/2110.05688v1
• [cs.HC]Open Player Modeling: Empowering Players through Data Transparency
Jichen Zhu, Magy Seif El-Nasr
http://arxiv.org/abs/2110.05810v1
• [cs.IR]Aspect-driven User Preference and News Representation Learning for News Recommendation
Rongyao Wang, Wenpeng Lu, Shoujin Wang, Xueping Peng, Hao Wu, Qian Zhang
http://arxiv.org/abs/2110.05792v1
• [cs.IR]Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang
http://arxiv.org/abs/2110.05730v1
• [cs.IR]Embracing Structure in Data for Billion-Scale Semantic Product Search
Vihan Lakshman, Choon Hui Teo, Xiaowen Chu, Priyanka Nigam, Abhinandan Patni, Pooja Maknikar, SVN Vishwanathan
http://arxiv.org/abs/2110.06125v1
• [cs.IR]Fast Forward Indexes for Efficient Document Ranking
Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
http://arxiv.org/abs/2110.06051v1
• [cs.IR]Hotel Preference Rank based on Online Customer Review
Muhammad Apriandito Arya Saputra, Andry Alamsyah, Fajar Ibnu Fatihan
http://arxiv.org/abs/2110.06133v1
• [cs.IR]Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma
http://arxiv.org/abs/2110.05789v1
• [cs.IR]Optimizing Ranking Systems Online as Bandits
Chang Li
http://arxiv.org/abs/2110.05807v1
• [cs.IR]Smart Crawling: A New Approach toward Focus Crawling from Twitter
Ahmad Khazaie, Nacéra Bennacer Seghouani, Francesca Bugiotti
http://arxiv.org/abs/2110.06022v1
• [cs.IT]Blind Modulo Analog-to-Digital Conversion of Vector Processes
Amir Weiss, Everest Huang, Or Ordentlich, Gregory W. Wornell
http://arxiv.org/abs/2110.06183v1
• [cs.IT]Covariance-Based Joint Device Activity and Delay Detection in Asynchronous mMTC
Zhaorui Wang, Ya-Feng Liu, Liang Liu
http://arxiv.org/abs/2110.05815v1
• [cs.IT]Generalized Memory Approximate Message Passing
Feiyan Tian, Lei Liu, Xiaoming Chen
http://arxiv.org/abs/2110.06069v1
• [cs.IT]Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices
Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti, Zheng-Hua Tan, Petar Popovski
http://arxiv.org/abs/2110.05757v1
• [cs.IT]Uplink NOMA For STAR-RIS Networks
Jiakuo Zuo, Yuanwei Liu, Zhiguo Ding, Xianbin Wang
http://arxiv.org/abs/2110.05686v1
• [cs.IT]Uplink Performance of Cell-Free Massive MIMO Over Spatially Correlated Rician Fading Channels
Zhe Wang, Jiayi Zhang, Emil Björnson, Bo Ai
http://arxiv.org/abs/2110.05796v1
• [cs.LG]A global convergence theory for deep ReLU implicit networks via over-parameterization
Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
http://arxiv.org/abs/2110.05645v1
• [cs.LG]Across-Task Neural Architecture Search via Meta Learning
Jingtao Rong, Xinyi Yu, Mingyang Zhang, Linlin Ou
http://arxiv.org/abs/2110.05842v1
• [cs.LG]Action-Sufficient State Representation Learning for Control with Structural Constraints
Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang
http://arxiv.org/abs/2110.05721v1
• [cs.LG]Balancing Average and Worst-case Accuracy in Multitask Learning
Paul Michel, Sebastian Ruder, Dani Yogatama
http://arxiv.org/abs/2110.05838v1
• [cs.LG]CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling
Ling Zhan, Tao Jia
http://arxiv.org/abs/2110.05820v1
• [cs.LG]Codabench: Flexible, Easy-to-Use and Reproducible Benchmarking for Everyone
Zhen Xu, Huan Zhao, Wei-Wei Tu, Magali Richard, Sergio Escalera, Isabelle Guyon
http://arxiv.org/abs/2110.05802v1
• [cs.LG]Couple Learning: Mean Teacher method with pseudo-labels improves semi-supervised deep learning results
Rui Tao, Long Yan, Kazushige Ouchi, Xiangdong Wang
http://arxiv.org/abs/2110.05809v1
• [cs.LG]Crystal Diffusion Variational Autoencoder for Periodic Material Generation
Tian Xie, Xiang Fu, Octavian-Eugen Ganea, Regina Barzilay, Tommi Jaakkola
http://arxiv.org/abs/2110.06197v1
• [cs.LG]Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models
Ahmet Demirkaya, Tales Imbiriba, Kyle Lockwood, Sumientra Rampersad, Elie Alhajjar, Giovanna Guidoboni, Zachary Danziger, Deniz Erdogmus
http://arxiv.org/abs/2110.06089v1
• [cs.LG]Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits
Nadav Merlis, Yonathan Efroni, Shie Mannor
http://arxiv.org/abs/2110.05724v1
• [cs.LG]DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer’s disease
Junren Pan, Baiying Lei, Shuqiang Wang, Bingchuan Wang, Yong Liu, Yanyan Shen
http://arxiv.org/abs/2110.05712v1
• [cs.LG]Decentralized Cooperative Multi-Agent Reinforcement Learning with Exploration
Weichao Mao, Tamer Başar, Lin F. Yang, Kaiqing Zhang
http://arxiv.org/abs/2110.05707v1
• [cs.LG]Deep Federated Learning for Autonomous Driving
Anh Nguyen, Tuong Do, Minh Tran, Binh X. Nguyen, Chien Duong, Tu Phan, Erman Tjiputra, Quang D. Tran
http://arxiv.org/abs/2110.05754v1
• [cs.LG]Development of Deep Transformer-Based Models for Long-Term Prediction of Transient Production of Oil Wells
Ildar Abdrakhmanov, Evgenii Kanin, Sergei Boronin, Evgeny Burnaev, Andrei Osiptsov
http://arxiv.org/abs/2110.06059v1
• [cs.LG]Expressivity and Trainability of Quadratic Networks
Feng-Lei Fan, Mengzhou Li, Fei Wang, Rongjie Lai, Ge Wang
http://arxiv.org/abs/2110.06081v1
• [cs.LG]Fast Block Linear System Solver Using Q-Learning Schduling for Unified Dynamic Power System Simulations
Yingshi Chen, Xinli Song, HanYang Dai, Tao Liu, Wuzhi Zhong, Guoyang Wu
http://arxiv.org/abs/2110.05843v1
• [cs.LG]GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs
Yucai Fan, Yuhang Yao, Carlee Joe-Wong
http://arxiv.org/abs/2110.05598v1
• [cs.LG]Gated Information Bottleneck for Generalization in Sequential Environments
Francesco Alesiani, Shujian Yu, Xi Yu
http://arxiv.org/abs/2110.06057v1
• [cs.LG]Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs
Tolga Ergen, Mert Pilanci
http://arxiv.org/abs/2110.05518v1
• [cs.LG]GraPE: fast and scalable Graph Processing and Embedding
Luca Cappelletti, Tommaso Fontana, Elena Casiraghi, Vida Ravanmehr, Tiffany J. Callahan, Marcin P. Joachimiak, Christopher J. Mungall, Peter N. Robinson, Justin Reese, Giorgio Valentini
http://arxiv.org/abs/2110.06196v1
• [cs.LG]Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok
http://arxiv.org/abs/2110.05291v2
• [cs.LG]Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables
Alireza Abedin, Hamid Rezatofighi, Damith C. Ranasinghe
http://arxiv.org/abs/2110.05732v1
• [cs.LG]Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations
Jiayao Zhang, Hua Wang, Weijie J. Su
http://arxiv.org/abs/2110.05960v1
• [cs.LG]Implicit Bias of Linear Equivariant Networks
Hannah Lawrence, Kristian Georgiev, Andrew Dienes, Bobak T. Kiani
http://arxiv.org/abs/2110.06084v1
• [cs.LG]Information Theoretic Structured Generative Modeling
Bo Hu, Shujian Yu, Jose C. Principe
http://arxiv.org/abs/2110.05794v1
• [cs.LG]Label scarcity in biomedicine: Data-rich latent factor discovery enhances phenotype prediction
Marc-Andre Schulz, Bertrand Thirion, Alexandre Gramfort, Gaël Varoquaux, Danilo Bzdok
http://arxiv.org/abs/2110.06135v1
• [cs.LG]Large Language Models Can Be Strong Differentially Private Learners
Xuechen Li, Florian Tramèr, Percy Liang, Tatsunori Hashimoto
http://arxiv.org/abs/2110.05679v1
• [cs.LG]Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression
Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham M. Kakade
http://arxiv.org/abs/2110.06198v1
• [cs.LG]Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
HanQin Cai, Jialin Liu, Wotao Yin
http://arxiv.org/abs/2110.05649v1
• [cs.LG]Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng, Tianyi Chen, Alfredo Garcia, Mingyi Hong
http://arxiv.org/abs/2110.05597v1
• [cs.LG]Learning with Algorithmic Supervision via Continuous Relaxations
Felix Petersen, Christian Borgelt, Hilde Kuehne, Oliver Deussen
http://arxiv.org/abs/2110.05651v1
• [cs.LG]Observing a group to infer individual characteristics
Arshed Nabeel, Danny Raj M
http://arxiv.org/abs/2110.05864v1
• [cs.LG]Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov, Ashvin Nair, Sergey Levine
http://arxiv.org/abs/2110.06169v1
• [cs.LG]On the Security Risks of AutoML
Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang
http://arxiv.org/abs/2110.06018v1
• [cs.LG]Parameterizing Activation Functions for Adversarial Robustness
Sihui Dai, Saeed Mahloujifar, Prateek Mittal
http://arxiv.org/abs/2110.05626v1
• [cs.LG]Partial Variable Training for Efficient On-Device Federated Learning
Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta
http://arxiv.org/abs/2110.05607v1
• [cs.LG]Planning from Pixels in Environments with Combinatorially Hard Search Spaces
Marco Bagatella, Mirek Olšák, Michal Rolínek, Georg Martius
http://arxiv.org/abs/2110.06149v1
• [cs.LG]Predicting the Efficiency of CO Sequestering by Metal Organic Frameworks Through Machine Learning Analysis of Structural and Electronic Properties
Mahati Manda
http://arxiv.org/abs/2110.05753v1
• [cs.LG]Predicting the Stereoselectivity of Chemical Transformations by Machine Learning
Justin Li, Dakang Zhang, Yifei Wang, Christopher Ye, Hao Xu, Pengyu Hong
http://arxiv.org/abs/2110.05671v1
• [cs.LG]Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games
Weichao Mao, Tamer Başar
http://arxiv.org/abs/2110.05682v1
• [cs.LG]Real-time EEG-based Emotion Recognition using Discrete Wavelet Transforms on Full and Reduced Channel Signals
Josef Bajada, Francesco Borg Bonello
http://arxiv.org/abs/2110.05635v1
• [cs.LG]Relative Molecule Self-Attention Transformer
Łukasz Maziarka, Dawid Majchrowski, Tomasz Danel, Piotr Gaiński, Jacek Tabor, Igor Podolak, Paweł Morkisz, Stanisław Jastrzębski
http://arxiv.org/abs/2110.05841v1
• [cs.LG]Review of Kernel Learning for Intra-Hour Solar Forecasting with Infrared Sky Images and Cloud Dynamic Feature Extraction
Guillermo Terrén-Serrano, Manel Martínez-Ramón
http://arxiv.org/abs/2110.05622v1
• [cs.LG]Scalable Traffic Signal Controls using Fog-Cloud Based Multiagent Reinforcement Learning
Paul, Ha, Sikai Chen, Runjia Du, Samuel Labi
http://arxiv.org/abs/2110.05564v1
• [cs.LG]Signal Processing on Cell Complexes
T. Mitchell Roddenberry, Michael T. Schaub, Mustafa Hajij
http://arxiv.org/abs/2110.05614v1
• [cs.LG]SoftNeuro: Fast Deep Inference using Multi-platform Optimization
Masaki Hilaga, Yasuhiro Kuroda, Hitoshi Matsuo, Tatsuya Kawaguchi, Gabriel Ogawa, Hiroshi Miyake, Yusuke Kozawa
http://arxiv.org/abs/2110.06037v1
• [cs.LG]StARformer: Transformer with State-Action-Reward Representations
Jinghuan Shang, Michael S. Ryoo
http://arxiv.org/abs/2110.06206v1
• [cs.LG]TTRS: Tinkoff Transactions Recommender System benchmark
Sergey Kolesnikov, Oleg Lashinin, Michail Pechatov, Alexander Kosov
http://arxiv.org/abs/2110.05589v1
• [cs.LG]Temporal Abstraction in Reinforcement Learning with the Successor Representation
Marlos C. Machado, Andre Barreto, Doina Precup
http://arxiv.org/abs/2110.05740v1
• [cs.LG]Uncertainty-based out-of-distribution detection requires suitable function space priors
Francesco D’Angelo, Christian Henning
http://arxiv.org/abs/2110.06020v1
• [cs.LG]Which Samples Should be Learned First: Easy or Hard?
Xiaoling Zhou, Ou Wu
http://arxiv.org/abs/2110.05481v1
• [cs.LG]Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks
Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
http://arxiv.org/abs/2110.05667v1
• [cs.LG]Zero-bias Deep Neural Network for Quickest RF Signal Surveillance
Yongxin Liu, Yingjie Chen, Jian Wang, Shuteng Niu, Dahai Liu, Houbing Song
http://arxiv.org/abs/2110.05797v1
• [cs.LO]Weighted Model Counting in FO2 with Cardinality Constraints and Counting Quantifiers: A Closed Form Formula
Sagar Malhotra, Luciano Serafini
http://arxiv.org/abs/2110.05992v1
• [cs.MM]Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution
Minseok Choi, Won Joon Yun, Joongheon Kim
http://arxiv.org/abs/2110.05783v1
• [cs.NE]Evolving Evolutionary Algorithms with Patterns
Mihai Oltean
http://arxiv.org/abs/2110.05951v1
• [cs.NE]Learning Division with Neural Arithmetic Logic Modules
Bhumika Mistry, Katayoun Farrahi, Jonathon Hare
http://arxiv.org/abs/2110.05177v2
• [cs.NE]Mining the Weights Knowledge for Optimizing Neural Network Structures
Mengqiao Han, Xiabi Liu, Zhaoyang Hai, Xin Duan
http://arxiv.org/abs/2110.05954v1
• [cs.NE]Parameter Tuning Strategies for Metaheuristic Methods Applied to Discrete Optimization of Structural Design
Iván Negrin, Dirk Roose, Ernesto Chagoyén
http://arxiv.org/abs/2110.06186v1
• [cs.NI]Towards a Cost vs. Quality Sweet Spot for Monitoring Networks
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Frujeri, Kevin Hsieh, Daniel Berger, Vincent Liu, Srikanth Kandula
http://arxiv.org/abs/2110.05554v1
• [cs.RO]A caster-wheel-aware MPC-based motion planner for mobile robotics
Jon Arrizabalaga, Niels van Duijkeren, Markus Ryll, Ralph Lange
http://arxiv.org/abs/2110.05604v1
• [cs.RO]Addressing crash-imminent situations caused by human driven vehicle errors in a mixed traffic stream: a model-based reinforcement learning approach for CAV
Jiqian Dong, Sikai Chen, Samuel Labi
http://arxiv.org/abs/2110.05556v1
• [cs.RO]Auditing Robot Learning for Safety and Compliance during Deployment
Homanga Bharadhwaj
http://arxiv.org/abs/2110.05702v1
• [cs.RO]Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
Alex X. Lee, Coline Devin, Yuxiang Zhou, Thomas Lampe, Konstantinos Bousmalis, Jost Tobias Springenberg, Arunkumar Byravan, Abbas Abdolmaleki, Nimrod Gileadi, David Khosid, Claudio Fantacci, Jose Enrique Chen, Akhil Raju, Rae Jeong, Michael Neunert, Antoine Laurens, Stefano Saliceti, Federico Casarini, Martin Riedmiller, Raia Hadsell, Francesco Nori
http://arxiv.org/abs/2110.06192v1
• [cs.RO]Concepts of Self-maintaining Robots and Their Design
Chenjie Shi, Sandor M Veres
http://arxiv.org/abs/2110.05882v1
• [cs.RO]GM-Livox: An Integrated Framework for Large-Scale Map Construction with Multiple Non-repetitive Scanning LiDARs
Yusheng Wang, Yidong Lou, Weiwei Song, Huan Yu, Zhiyong Tu
http://arxiv.org/abs/2110.05650v1
• [cs.RO]Moral-Trust Violation vs Performance-Trust Violation by a Robot: Which Hurts More?
Zahra Rezaei Khavas, Russell Perkins, S. Reza Ahmadzadeh, Paul Robinette
http://arxiv.org/abs/2110.04418v1
• [cs.RO]Planning Sensing Sequences for Subsurface 3D Tumor Mapping
Brian Y. Cho, Tucker Hermans, Alan Kuntz
http://arxiv.org/abs/2110.06195v1
• [cs.RO]Robust Glare Detection: Review, Analysis, and Dataset Release
Mahdi Abolfazli Esfahani, Han Wang
http://arxiv.org/abs/2110.06006v1
• [cs.RO]System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge
Tomáš Rouček, Martin Pecka, Petr Čížek, Tomáš Petříček, Jan Bayer, Vojtěch Šalanský, Teymur Azayev, Daniel Heřt, Matěj Petrlík, Tomáš Báča, Vojtěch Spurný, Vít Krátký, Pavel Petráček, Dominic Baril, Maxime Vaidis, Vladimír Kubelka, François Pomerleau, Jan Faigl, Karel Zimmermann, Martin Saska, Tomáš Svoboda, Tomáš Krajník
http://arxiv.org/abs/2110.05911v1
• [cs.SD]Adapting TTS models For New Speakers using Transfer Learning
Paarth Neekhara, Jason Li, Boris Ginsburg
http://arxiv.org/abs/2110.05798v1
• [cs.SD]Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes
Karn N. Watcharasupat, Alexander Lerch
http://arxiv.org/abs/2110.05587v1
• [cs.SD]MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech
Szu-Wei Fu, Cheng Yu, Kuo-Hsuan Hung, Mirco Ravanelli, Yu Tsao
http://arxiv.org/abs/2110.05866v1
• [cs.SD]Music Sentiment Transfer
Miles Sigel, Michael Zhou, Jiebo Luo
http://arxiv.org/abs/2110.05765v1
• [cs.SI]BotNet Detection On Social Media
Aniket Chandrakant Devle, Julia Ann Jose, Abhay Shrinivas Saraswathula, Shubham Mehta, Siddhant Srivastava, Sirisha Kona, Sudheera Daggumalli
http://arxiv.org/abs/2110.05661v1
• [cs.SI]Extracting Feelings of People Regarding COVID-19 by Social Network Mining
Hamed Vahdat-Nejad, Fatemeh Salmani, Mahdi Hajiabadi, Faezeh Azizi, Sajedeh Abbasi, Mohadese Jamalian, Reyhane Mosafer, Hamideh Hajiabadi
http://arxiv.org/abs/2110.06151v1
• [cs.SI]Perspective-taking to Reduce Affective Polarization on Social Media
Martin Saveski, Nabeel Gillani, Ann Yuan, Prashanth Vijayaraghavan, Deb Roy
http://arxiv.org/abs/2110.05596v1
• [cs.SI]Spatial Data Mining of Public Transport Incidents reported in Social Media
Kamil Raczycki, Marcin Szymański, Yahor Yeliseyenka, Piotr Szymański, Tomasz Kajdanowicz
http://arxiv.org/abs/2110.05573v1
• [cs.SI]Structural invariants in individuals language use: the “ego network” of words
Kilian Ollivier, Chiara Boldrini, Andrea Passarella, Marco Conti
http://arxiv.org/abs/2110.06015v1
• [cs.SI]Subnetwork Constraints for Tighter Upper Bounds and Exact Solution of the Clique Partitioning Problem
Alexander Belyi, Stanislav Sobolevsky, Alexander Kurbatski, Carlo Ratti
http://arxiv.org/abs/2110.05627v1
• [eess.AS]BERTraffic: A Robust BERT-Based Approach for Speaker Change Detection and Role Identification of Air-Traffic Communications
Juan Zuluaga-Gomez, Seyyed Saeed Sarfjoo, Amrutha Prasad, Iuliia Nigmatulina, Petr Motlicek, Oliver Ohneiser, Hartmut Helmke
http://arxiv.org/abs/2110.05781v1
• [eess.AS]DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
Hendrik Schröter, Alberto N. Escalante-B., Tobias Rosenkranz, Andreas Maier
http://arxiv.org/abs/2110.05588v1
• [eess.AS]Improving Character Error Rate Is Not Equal to Having Clean Speech: Speech Enhancement for ASR Systems with Black-box Acoustic Models
Ryosuke Sawata, Yosuke Kashiwagi, Shusuke Takahashi
http://arxiv.org/abs/2110.05968v1
• [eess.AS]SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition
Jing Pan, Tao Lei, Kwangyoun Kim, Kyu Han, Shinji Watanabe
http://arxiv.org/abs/2110.05571v1
• [eess.AS]Spatial mixup: Directional loudness modification as data augmentation for sound event localization and detection
Ricardo Falcon-Perez, Kazuki Shimada, Yuichiro Koyama, Shusuke Takahashi, Yuki Mitsufuji
http://arxiv.org/abs/2110.06126v1
• [eess.AS]The Mirrornet : Learning Audio Synthesizer Controls Inspired by Sensorimotor Interaction
Yashish M. Siriwardena, Guilhem Marion, Shihab Shamma
http://arxiv.org/abs/2110.05695v1
• [eess.AS]VarArray: Array-Geometry-Agnostic Continuous Speech Separation
Takuya Yoshioka, Xiaofei Wang, Dongmei Wang, Min Tang, Zirun Zhu, Zhuo Chen, Naoyuki Kanda
http://arxiv.org/abs/2110.05745v1
• [eess.AS]Word Order Does Not Matter For Speech Recognition
Vineel Pratap, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, Ronan Collobert
http://arxiv.org/abs/2110.05994v1
• [eess.IV]Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning
Bowen Li, Dar-In Tai, Ke Yan, Yi-Cheng Chen, Shiu-Feng Huang, Tse-Hwa Hsu, Wan-Ting Yu, Jing Xiao, Le Lu, Adam P. Harrison
http://arxiv.org/abs/2110.05664v1
• [eess.IV]Early Melanoma Diagnosis with Sequential Dermoscopic Images
Zhen Yu, Jennifer Nguyen, Toan D Nguyen, John Kelly, Catriona Mclean, Paul Bonnington, Lei Zhang, Victoria Mar, Zongyuan Ge
http://arxiv.org/abs/2110.05976v1
• [eess.IV]MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis
Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
http://arxiv.org/abs/2110.06063v1
• [eess.IV]SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
Wenbin Zou, Mingchao Jiang, Yunchen Zhang, Liang Chen, Zhiyong Lu, Yi Wu
http://arxiv.org/abs/2110.05803v1
• [eess.SP]EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer’s disease and schizophrenia
Caroline L. Alves, Aruane M. Pineda, Kirstin Roster, Christiane Thielemann, Francisco A. Rodrigues
http://arxiv.org/abs/2110.06140v1
• [eess.SP]Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar
Lorenzo Servadei, Huawei Sun, Julius Ott, Michael Stephan, Souvik Hazra, Thomas Stadelmayer, Daniela Sanchez Lopera, Robert Wille, Avik Santra
http://arxiv.org/abs/2110.05876v1
• [eess.SP]Phase Noise Resilient Three-Level Continuous-Phase Modulation for DFT-Spread OFDM
Markku Renfors, Ismael Peruga Nasarre, Toni Levanen, Mikko Valkama, Kari Pajukoski
http://arxiv.org/abs/2110.05990v1
• [eess.SP]Smoothed Separable Nonnegative Matrix Factorization
Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo
http://arxiv.org/abs/2110.05528v1
• [math.CT]A Categorical Semantics of Fuzzy Concepts in Conceptual Spaces
Sean Tull
http://arxiv.org/abs/2110.05985v1
• [math.OC]Sparsity in Partially Controllable Linear Systems
Yonathan Efroni, Sham Kakade, Akshay Krishnamurthy, Cyril Zhang
http://arxiv.org/abs/2110.06150v1
• [math.PR]Long-term balanced allocation via thinning
Ohad N. Feldheim, Ori Gurel-Gurevich, Jiange Li
http://arxiv.org/abs/2110.05009v1
• [math.PR]Tails of bivariate stochastic recurrence equation with triangular matrices
Ewa Damek, Muneya Matsui
http://arxiv.org/abs/2110.04546v2
• [math.ST]Efficient Bayesian network structure learning via local Markov boundary search
Ming Gao, Bryon Aragam
http://arxiv.org/abs/2110.06082v1
• [math.ST]Identification and estimation of nonignorable missing outcome mean without identifying the full data distribution
Wei Li, Wang Miao, Eric Tchetgen Tchetgen
http://arxiv.org/abs/2110.05776v1
• [math.ST]Robustness of statistical models
Andrea Loi, Stefano Matta
http://arxiv.org/abs/2110.06145v1
• [math.ST]Uniform concentration bounds for frequencies of rare events
Stéphane Lhaut, Anne Sabourin, Johan Segers
http://arxiv.org/abs/2110.05826v1
• [physics.hist-ph]Characterizing the Immaterial. Noninvasive Imaging and Analysis of Stephen Be
5000
nton’s Hologram Engine no. 9
Marc Walton, Pengxiao Hao, Marc Vermeulen, Florian Willomitzer, Oliver Cossairt
http://arxiv.org/abs/2110.06080v1
• [physics.soc-ph]Emergence of Robust and Efficient Networks in a Family of Attachment Models
Fuxuan Liao, Yukio Hayashi
http://arxiv.org/abs/2110.03176v1
• [physics.soc-ph]The physics of higher-order interactions in complex systems
Federico Battiston, Enrico Amico, Alain Barrat, Ginestra Bianconi, Guilherme Ferraz de Arruda, Benedetta Franceschiello, Iacopo Iacopini, Sonia Kéfi, Vito Latora, Yamir Moreno, Micah M. Murray, Tiago P. Peixoto, Francesco Vaccarino, Giovanni Petri
http://arxiv.org/abs/2110.06023v1
• [q-bio.NC]Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects
Charlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King
http://arxiv.org/abs/2110.06078v1
• [q-bio.PE]EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
Christopher E. Overton, Lorenzo Pellis, Helena B. Stage, Francesca Scarabel, Joshua Burton, Christophe Fraser, Ian Hall, Thomas A. House, Chris Jewell, Anel Nurtay, Filippo Pagani, Katrina A. Lythgoe
http://arxiv.org/abs/2110.06193v1
• [q-bio.QM]Genetic Regulation of Cytokine Response in Patients with Acute Community-acquired Pneumonia
Andreas Kühnapfel, Katrin Horn, Ulrike Klotz, Michael Kiehntopf, Maciej Rosolowski, Markus Loeffler, Peter Ahnert, Norbert Suttorp, Martin Witzenrath, Markus Scholz
http://arxiv.org/abs/2110.05574v1
• [quant-ph]A scalable and fast artificial neural network syndrome decoder for surface codes
Spiro Gicev, Lloyd C. L. Hollenberg, Muhammad Usman
http://arxiv.org/abs/2110.05854v1
• [quant-ph]Learnability of the output distributions of local quantum circuits
Marcel Hinsche, Marios Ioannou, Alexander Nietner, Jonas Haferkamp, Yihui Quek, Dominik Hangleiter, Jean-Pierre Seifert, Jens Eisert, Ryan Sweke
http://arxiv.org/abs/2110.05517v1
• [stat.AP]A Response to Philippe Lemoine’s Critique on our Paper “Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S.”
Victor Chernozhukov, Hiroyuki Kasahara, Paul Schrimpf
http://arxiv.org/abs/2110.06136v1
• [stat.AP]Do Ceasefires Work? A Bayesian autoregressive hidden Markov model to explore how ceasefires shape the dynamics of violence in civil war
Jonathan P Williams, Gudmund H Hermansen, Håvard Mokleiv Nygård, Govinda Clayton, Siri Aas Rustad, Håvard Strand
http://arxiv.org/abs/2110.05475v1
• [stat.AP]Evaluating the Impact of State-Level Public Masking Mandates on New COVID-19 Cases and Deaths in the United States: A Demonstration of the Causal Roadmap
Angus K. Wong, Laura B. Balzer
http://arxiv.org/abs/2110.06115v1
• [stat.AP]Exploring the Endogenous Nature of Meme Stocks Using the Log-Periodic Power Law Model and Confidence Indicator
Hideyuki Takagi
http://arxiv.org/abs/2110.06190v1
• [stat.AP]Optimal Time Plan in Accelerated Degradation Testing
Helmi Shat, Rainer Schwabe
http://arxiv.org/abs/2110.06114v1
• [stat.AP]Quantifying the Risk of Wildfire Ignition by Power Lines under Extreme Weather Conditions
Muhammad Waseem, Reza Bayani, Saeed D. Manshadi, Hassan Tavakol-Davani
http://arxiv.org/abs/2110.05551v1
• [stat.AP]Quantile-based hydrological modelling
Hristos Tyralis, Georgia Papacharalampous
http://arxiv.org/abs/2110.05586v1
• [stat.AP]Wind-robust sound event detection and denoising for bioacoustics
Julius Juodakis, Stephen Marsland
http://arxiv.org/abs/2110.05632v1
• [stat.CO]yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
Iain Carmichael, Thomas Keefe, Naomi Giertych, Jonathan P Williams
http://arxiv.org/abs/2110.05567v1
• [stat.ME]A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Binary Classification
Bradley Rava, Wenguang Sun, Gareth M. James, Xin Tong
http://arxiv.org/abs/2110.05720v1
• [stat.ME]A simple meta-analysis approach for exploratory phase I dose-finding studies
C. Röver, M. Ursino, T. Friede, S. Zohar
http://arxiv.org/abs/2110.06132v1
• [stat.ME]Bayesian Regularization for Functional Graphical Models
Jiajing Niu, Boyoung Hur, John Absher, D. Andrew Brown
http://arxiv.org/abs/2110.05575v1
• [stat.ME]Causal Mediation Analysis: Selection with Asymptotically Valid Inference
Jeremiah Jones, Ashkan Ertefaie, Robert L. Strawderman
http://arxiv.org/abs/2110.06127v1
• [stat.ME]Data Harmonization Via Regularized Nonparametric Mixing Distribution Estimation
Steven Wilkins-Reeves, Yen-Chi Chen, Kwun Chuen Gary Chan
http://arxiv.org/abs/2110.06077v1
• [stat.ME]Nonnegative spatial factorization
F. William Townes, Barbara E. Engelhardt
http://arxiv.org/abs/2110.06122v1
• [stat.ME]Nonparametric Group Variable Selectionwith Multivariate Response forConnectome-Based Prediction of Cognitive Scores
Arkaprava Roy
http://arxiv.org/abs/2110.05641v1
• [stat.ME]SMART Binary: Sample Size Calculation for Comparing Adaptive Interventions in SMART studies with Longitudinal Binary Outcomes
John J. Dziak, Daniel Almirall, Walter Dempsey, Catherine Stanger, Inbal Nahum-Shani
http://arxiv.org/abs/2110.05535v1
• [stat.ME]Spatial Censored Regression Models in R: The CensSpatial package
Jose A. Ordonez, Christian E. Galarza, Victor H. Lachos
http://arxiv.org/abs/2110.05570v1
• [stat.ME]The Terminating-Knockoff Filter: Fast High-Dimensional Variable Selection with False Discovery Rate Control
Jasin Machkour, Michael Muma, Daniel P. Palomar
http://arxiv.org/abs/2110.06048v1
• [stat.ME]Truncated Rank-Based Tests for Two-Part Models with Excessive Zeros and Applications to Microbiome Data
Wanjie Wang, Zhang Eric Chen, Hongzhe Li
http://arxiv.org/abs/2110.05368v2
• [stat.ML]CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search
Hengrui Cai, Wenbin Lu, Rachel Marceau West, Devan V. Mehrotra, Lingkang Huang
http://arxiv.org/abs/2110.05636v1
• [stat.ML]Deviance Matrix Factorization
Liang Wang, Luis Carvalho
http://arxiv.org/abs/2110.05674v1
• [stat.ML]Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling
Gianluigi Silvestri, Emily Fertig, Dave Moore, Luca Ambrogioni
http://arxiv.org/abs/2110.06021v1
• [stat.ML]On the Self-Penalization Phenomenon in Feature Selection
Michael I. Jordan, Keli Liu, Feng Ruan
http://arxiv.org/abs/2110.05852v1
• [stat.ML]Single Independent Component Recovery and Applications
Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon
http://arxiv.org/abs/2110.05887v1
• [stat.ML]Tracking the risk of a deployed model and detecting harmful distribution shifts
Aleksandr Podkopaev, Aaditya Ramdas
http://arxiv.org/abs/2110.06177v1
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