astro-ph.HE - 高能天体物理现象
cs.AI - 人工智能
cs.CL - 计算与语言
cs.CR - 加密与安全
cs.CV - 机器视觉与模式识别
cs.CY - 计算与社会
cs.DC - 分布式、并行与集群计算
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.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.EM - 计量经济学
eess.AS - 语音处理
eess.IV - 图像与视频处理
eess.SP - 信号处理
eess.SY - 系统和控制
gr-qc - 广义相对论与量子宇宙学
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.med-ph - 医学物理学
q-bio.QM - 定量方法
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.HE]A neural simulation-based inference approach for characterizing the Galactic Center -ray excess
• [astro-ph.HE]VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks
• [cs.AI]An algorithm for a fairer and better voting system
• [cs.AI]Compliance checking in reified IO logic via SHACL
• [cs.AI]Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
• [cs.CL]A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation
• [cs.CL]A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction
• [cs.CL]An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings
• [cs.CL]An Empirical Investigation of Multi-bridge Multilingual NMT models
• [cs.CL]Aspect-Sentiment-Multiple-Opinion Triplet Extraction
• [cs.CL]BI-RADS BERT & Using Section Tokenization to Understand Radiology Reports
• [cs.CL]Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation
• [cs.CL]Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
• [cs.CL]Building Chinese Biomedical Language Models via Multi-Level Text Discrimination
• [cs.CL]Can Explanations Be Useful for Calibrating Black Box Models?
• [cs.CL]Causal Transformers Perform Below Chance on Recursive Nested Constructions, Unlike Humans
• [cs.CL]Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features
• [cs.CL]Comparative Opinion Summarization via Collaborative Decoding
• [cs.CL]Composable Sparse Fine-Tuning for Cross-Lingual Transfer
• [cs.CL]Compressibility of Distributed Document Representations
• [cs.CL]Context-gloss Augmentation for Improving Word Sense Disambiguation
• [cs.CL]Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering
• [cs.CL]Delphi: Towards Machine Ethics and Norms
• [cs.CL]Designing Language Technologies for Social Good: The Road not Taken
• [cs.CL]Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages
• [cs.CL]Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph
• [cs.CL]FlexiTerm: A more efficient implementation of flexible multi-word term recognition
• [cs.CL]Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition
• [cs.CL]Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts
• [cs.CL]LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing
• [cs.CL]LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
• [cs.CL]Language Modelling via Learning to Rank
• [cs.CL]MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes
• [cs.CL]MReD: A Meta-Review Dataset for Controllable Text Generation
• [cs.CL]Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
• [cs.CL]Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
• [cs.CL]MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization
• [cs.CL]Neural Attention-Aware Hierarchical Topic Model
• [cs.CL]Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
• [cs.CL]On the Pitfalls of Analyzing Individual Neurons in Language Models
• [cs.CL]Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
• [cs.CL]P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
• [cs.CL]P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
• [cs.CL]Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
• [cs.CL]Practical Benefits of Feature Feedback Under Distribution Shift
• [cs.CL]Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding
• [cs.CL]Representation Decoupling for Open-Domain Passage Retrieval
• [cs.CL]Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
• [cs.CL]Retrieval-guided Counterfactual Generation for QA
• [cs.CL]Revisiting IPA-based Cross-lingual Text-to-speech
• [cs.CL]RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
• [cs.CL]SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures
• [cs.CL]Solving Aspect Category Sentiment Analysis as a Text Generation Task
• [cs.CL]Speech Toxicity Analysis: A New Spoken Language Processing Task
• [cs.CL]Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset
• [cs.CL]Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
• [cs.CL]The Irrationality of Neural Rationale Models
• [cs.CL]Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
• [cs.CL]Towards More Effective and Economic Sparsely-Activated Model
• [cs.CL]Transferring Semantic Knowledge Into Language Encoders
• [cs.CL]Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
• [cs.CL]Understanding Model Robustness to User-generated Noisy Texts
• [cs.CL]UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
• [cs.CL]WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover’s Distance in Sociocultural Analysis
• [cs.CL]bert2BERT: Towards Reusable Pretrained Language Models
• [cs.CR]Bugs in our Pockets: The Risks of Client-Side Scanning
• [cs.CR]Covert Message Passing over Public Internet Platforms Using Model-Based Format-Transforming Encryption
• [cs.CR]On Adversarial Vulnerability of PHM algorithms: An Initial Study
• [cs.CR]Privacy Impact Assessment: Comparing methodologies with a focus on practicality
• [cs.CV]A CLIP-Enhanced M
503
ethod for Video-Language Understanding
• [cs.CV]A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
• [cs.CV]Adversarial examples by perturbing high-level features in intermediate decoder layers
• [cs.CV]Automatic Modeling of Social Concepts Evoked by Art Images as Multimodal Frames
• [cs.CV]ByteTrack: Multi-Object Tracking by Associating Every Detection Box
• [cs.CV]ClonalNet: Classifying Better by Focusing on Confusing Categories
• [cs.CV]Coarse to Fine: Video Retrieval before Moment Localization
• [cs.CV]Considering user agreement in learning to predict the aesthetic quality
• [cs.CV]Contrastive Proposal Extension with Sequential Network for Weakly Supervised Object Detection
• [cs.CV]Data Incubation — Synthesizing Missing Data for Handwriting Recognition
• [cs.CV]DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
• [cs.CV]DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
• [cs.CV]Domain Adaptation on Semantic Segmentation with Separate Affine Transformation in Batch Normalization
• [cs.CV]Ego4D: Around the World in 3,000 Hours of Egocentric Video
• [cs.CV]Fast Hand Detection in Collaborative Learning Environments
• [cs.CV]HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
• [cs.CV]Learning Temporal 3D Human Pose Estimation with Pseudo-Labels
• [cs.CV]Modeling dynamic target deformation in camera calibration
• [cs.CV]NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
• [cs.CV]Nuisance-Label Supervision: Robustness Improvement by Free Labels
• [cs.CV]Playing for 3D Human Recovery
• [cs.CV]Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation
• [cs.CV]RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach
• [cs.CV]Region Semantically Aligned Network for Zero-Shot Learning
• [cs.CV]Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
• [cs.CV]SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation
• [cs.CV]Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency
• [cs.CV]Self-Supervised Learning by Estimating Twin Class Distributions
• [cs.CV]Semantically Distributed Robust Optimization for Vision-and-Language Inference
• [cs.CV]Semi-supervised Multi-task Learning for Semantics and Depth
• [cs.CV]Simple Baseline for Single Human Motion Forecasting
• [cs.CV]Sub-word Level Lip Reading With Visual Attention
• [cs.CV]Subspace Regularizers for Few-Shot Class Incremental Learning
• [cs.CV]Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather
• [cs.CV]The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning
• [cs.CV]Top 3 in FG 2021 Families In the Wild Kinship Verification Challenge
• [cs.CV]Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution
• [cs.CV]Video-based cattle identification and action recognition
• [cs.CV]View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
• [cs.CV]Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
• [cs.CY]Dynamic Conflict Resolution of IoT Services in Smart Homes
• [cs.CY]Ethics lines and Machine learning: a design and simulation of an Association Rules Algorithm for exploiting the data
• [cs.DC]Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers
• [cs.HC]A Time-Optimized Content Creation Workflow for Remote Teaching
• [cs.IR]A Survey on Legal Question Answering Systems
• [cs.IR]Deconfounded Causal Collaborative Filtering
• [cs.IR]Presenting a Larger Up-to-date Movie Dataset and Investigating the Effects of Pre-released Attributes on Gross Revenue
• [cs.IR]Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating
• [cs.IR]Relation-aware Heterogeneous Graph for User Profiling
• [cs.IR]Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking
• [cs.IR]Web Search via an Efficient and Effective Brain-Machine Interface
• [cs.IR]Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
• [cs.IT]6G: Connectivity in the Era of Distributed Intelligence
• [cs.IT]ADMM-DAD net: a deep unfolding network for analysis compressed sensing
• [cs.IT]Cell-Free Massive MIMO for 6G Wireless Communication Networks
• [cs.IT]Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach
• [cs.IT]Fundamental Limits of Combinatorial Multi-Access Caching
• [cs.IT]Lossy Compression with Universal Distortion
• [cs.IT]On Downlink Interference Decoding In Multi-Cell Massive MIMO Systems
• [cs.IT]On some batch code properties of the simplex code
• [cs.IT]Optimal Update in Energy Harvesting Aided Terahertz Communications with Random Blocking
• [cs.IT]Proactive Mobility Management of UEs using Sequence-to-Sequence Modeling
• [cs.IT]Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview
• [cs.IT]Secure Precoding in MIMO-NOMA: A Deep Learning Approach
• [cs.IT]Shortened Polarization Kernels
• [cs.LG]AI Total: Analyzing Security ML Models with Imperfect Data in Production
• [cs.LG]Adaptive Differentially Private Empirical Risk Minimization
• [cs.LG]Asymmetric Graph Representation Learning
• [cs.LG]Block Contextual MDPs for Continual Learning
• [cs.LG]Bond Default Prediction with Text Embeddings, Undersampling and Deep Learning
• [cs.LG]Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack
• [cs.LG]Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
• [cs.LG]Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
• [cs.LG]Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning
• [cs.LG]Challenges for Unsupervised Anomaly Detection in Particle Physics
• [cs.LG]DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks
• [cs.LG]Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals
• [cs.LG]Detecting Renewal States in Chains of Variable Length via Intrinsic Bayes Factors
• [cs.LG]Diffusion Normalizing Flow
• [cs.LG]ES-Based Jacobian Enables Faster Bilevel Optimization
• [cs.LG]Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning
• [cs.LG]Federated Learning Over Cellular-Connected UAV Networks with Non-IID Datasets
• [cs.LG]Graph Condensation for Graph Neural Networks
• [cs.LG]How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies
• [cs.LG]How to train RNNs on chaotic data?
• [cs.LG]Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection
• [cs.LG]Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
• [cs.LG]Inverse Problems Leveraging Pre-trained Contrastive Representations
• [cs.LG]Looper: An end-to-end ML platform for product decisions
• [cs.LG]Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and -MOCK
• [cs.LG]Multi-task problems are not multi-objective
• [cs.LG]Offline Reinforcement Learning with Soft Behavior Regularization
• [cs.LG]Omni-Training for Data-Efficient Deep Learning
• [cs.LG]Order Constraints in Optimal Transport
• [cs.LG]Out-of-Distribution Robustness in Deep Learning Compression
• [cs.LG]Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
• [cs.LG]Physics informed neural networks for continuum micromechanics
• [cs.LG]Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback
• [cs.LG]Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication
• [cs.LG]ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
• [cs.LG]Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
• [cs.LG]Rethinking the Representational Continuity: Towards Unsupervised Continual Learning
• [cs.LG]Scalable Graph Embedding LearningOn A Single GPU
• [cs.LG]Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
• [cs.LG]Sign and Relevance learning
• [cs.LG]SoGCN: Second-Order Graph Convolutional Networks
• [cs.LG]Sustainability Through Cognition Aware Safety Systems — Next Level Human-Machine-Interaction
• [cs.LG]The Neglected Sibling: Isotropic Gaussian Posterior for VAE
• [cs.LG]The Neural MMO Platform for Massively Multiagent Research
• [cs.LG]Time Series Clustering for Human Behavior Pattern Mining
• [cs.LG]Universally Rank Consistent Ordinal Regression in Neural Networks
• [cs.LG]Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
• [cs.LG]VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints
• [cs.LG]Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
• [cs.LG]WAFFLE: Weighted Averaging for Personalized Federated Learning
• [cs.LG]Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis — and What to Use Instead
• [cs.LG]Why Propagate Alone? Parallel Use of Labels and Features on Graphs
• [cs.LG]sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs
• [cs.MA]HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
• [cs.RO]A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA
• [cs.RO]Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach
• [cs.RO]Human-Robot Collaboration and Machine Learning: A Systematic Review of Recent Research
• [cs.RO]Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments
• [cs.RO]Masking Effects in Combined Hardness and Stiffness Rendering Using an Encountered-Type Haptic Display
• [cs.RO]Monitoring the Mental State of Cooperativeness for Guiding an Elderly Person in Sit-to-Stand Assistance
• [cs.RO]Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement
• [cs.RO]Socially assistive robots’ deployment in healthcare settings: a global perspective
• [cs.RO]The Design and Simulation of Biomimetic Fish Robot for Aquatic Creature Study
• [cs.SD]Comparison of SVD and factorized TDNN approaches for speech to text
• [cs.SD]Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks
• [cs.SD]Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data
• [cs.SD]SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANs
• [cs.SD]Study of positional encoding approaches for Audio Spectrogram Transformers
• [cs.SE]DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing
• [cs.SI]Advances in Scaling Community Discovery Methods for Large Signed Graph Networks
• [cs.SI]Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
• [cs.SI]Random Walks with Variable Restarts for Negative-Example-Informed Label Propagation
• [econ.EM]Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators
• [eess.AS]Continual learning using lattice-free MMI for speech recognition
• [eess.AS]SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing
• [eess.AS]Toward Degradation-Robust Voice Conversion
• [eess.IV]High-throughput Phenotyping of Nematode Cysts
• [eess.IV]Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI
• [eess.IV]Unsupervised Data-Driven Nuclei Segmentation For Histology Images
• [eess.SP]A Robotic Antenna Alignment and Tracking System for Millimeter Wave Propagation Modeling
• [eess.SP]CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition
• [eess.SP]Energy Cooperative Transmission Policy for Energy Harvesting Tags
• [eess.SP]Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization
• [eess.SP]On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
• [eess.SP]Robust MIMO Detection using Hypernetworks with Learned Regularizers
• [eess.SP]Stability Analysis of Unfolded WMMSE for Power Allocation
• [eess.SY]Drone technology: interdisciplinary systematic assessment of knowledge gaps and potential solutions
• [gr-qc]Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers
• [math.OC]Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent
• [math.OC]Guided Policy Search using Sequential Convex Programming for Initialization of Trajectory Optimization Algorithms
• [math.OC]On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure
• [math.OC]The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
• [math.PR]A Short Review of Ergodicity and Convergence of Markov chain Monte Carlo Estimators
• [math.ST]Kernel estimation for the tail index of a right-censored Pareto-type distribution
• [math.ST]Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
• [math.ST]Robust filtering of sequences with periodically stationary multiplicative seasonal increments
• [physics.med-ph]A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation
• [q-bio.QM]CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
• [q-bio.QM]TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors
• [quant-ph]Quantum Rényi divergences and the strong converse exponent of state discrimination in operator algebras
• [quant-ph]Solving Large Break Minimization Problems in a Mirrored Double Round-robin Tournament Using Quantum Annealing
• [quant-ph]Style-based quantum generative adversarial networks for Monte Carlo events
• [stat.AP]Dynamical non-Gaussian modelling of spatial processes
• [stat.AP]Trading Data for Wind Power Forecasting: A Regression Market with Lasso Regularization
• [stat.ME]Distribution-Free Bayesian multivariate predictive inference
• [stat.ME]Divide-and-Conquer Monte Carlo Fusion
• [stat.ME]Fast Approximate Inference for Spatial Extreme Value Models
• [stat.ME]Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models
• [stat.ME]Sparse Linear Mixed Model Selection via Streamlined Variational Bayes
• [stat.ME]Treatment Effect Detection with Controlled FDR under Dependence for Large-Scale Experiments
• [stat.ME]Using Multitask Gaussian Processes to estimate the effect of a targeted effort to remove firearms
• [stat.ML]IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
• [stat.ML]Inferring Manifolds From Noisy Data Using Gaussian Processes
• [stat.ML]Interpretable transformed ANOVA approximation on the example of the prevention of forest fires
• [stat.ML]Predictive models of RNA degradation through dual crowdsourcing
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• [astro-ph.HE]A neural simulation-based inference approach for characterizing the Galactic Center -ray excess
Siddharth Mishra-Sharma, Kyle Cranmer
http://arxiv.org/abs/2110.06931v1
• [astro-ph.HE]VLBInet: Radio Interferometry Data Classification for EHT with Neural Networks
Joshua Yao-Yu Lin, Dominic W. Pesce, George N. Wong, Ajay Uppili Arasanipalai, Ben S. Prather, Charles F. Gammie
http://arxiv.org/abs/2110.07185v1
• [cs.AI]An algorithm for a fairer and better voting system
Gabriel-Claudiu Grama
http://arxiv.org/abs/2110.07066v1
• [cs.AI]Compliance checking in reified IO logic via SHACL
Livio Robaldo, Kolawole J. Adebayo
http://arxiv.org/abs/2110.07033v1
• [cs.AI]Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
http://arxiv.org/abs/2110.07031v1
• [cs.CL]A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation
Shen Liu, Meirong Ma, Hao Yuan, Jianchao Zhu, Yuanbin Wu, Man Lan
http://arxiv.org/abs/2110.07209v1
• [cs.CL]A Simple, Strong and Robust Baseline for Distantly Supervised Relation Extraction
Vipul Rathore, Kartikeya Badola, Mausam, Parag Singla
http://arxiv.org/abs/2110.07415v1
• [cs.CL]An Approach to Mispronunciation Detection and Diagnosis with Acoustic, Phonetic and Linguistic (APL) Embeddings
Wenxuan Ye, Shaoguang Mao, Frank Soong, Wenshan Wu, Yan Xia, Jonathan Tien, Zhiyong Wu
http://arxiv.org/abs/2110.07274v1
• [cs.CL]An Empirical Investigation of Multi-bridge Multilingual NMT models
Anoop Kunchukuttan
http://arxiv.org/abs/2110.07304v1
• [cs.CL]Aspect-Sentiment-Multiple-Opinion Triplet Extraction
Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He
http://arxiv.org/abs/2110.07303v1
• [cs.CL]BI-RADS BERT & Using Section Tokenization to Understand Radiology Reports
Grey Kuling, Dr. Belinda Curpen, Anne L. Martel
http://arxiv.org/abs/2110.07552v1
• [cs.CL]Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation
Florian Mai, James Henderson
http://arxiv.org/abs/2110.07002v1
• [cs.CL]Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits
Julia Kreutzer, David Vilar, Artem Sokolov
http://arxiv.org/abs/2110.06997v1
• [cs.CL]Building Chinese Biomedical Language Models via Multi-Level Text Discrimination
Quan Wang, Songtai Dai, Benfeng Xu, Yajuan Lyu, Yong Zhu, Hua Wu, Haifeng Wang
http://arxiv.org/abs/2110.07244v1
• [cs.CL]Can Explanations Be Useful for Calibrating Black Box Models?
Xi Ye, Greg Durrett
http://arxiv.org/abs/2110.07586v1
• [cs.CL]Causal Transformers Perform Below Chance on Recursive Nested Constructions, Unlike Humans
Yair Lakretz, Théo Desbordes, Dieuwke Hupkes, Stanislas Dehaene
http://arxiv.org/abs/2110.07240v1
• [cs.CL]Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features
Yunxiang Zhang, Liangming Pan, Samson Tan, Min-Yen Kan
http://arxiv.org/abs/2110.07159v1
• [cs.CL]Comparative Opinion Summarization via Collaborative Decoding
Hayate Iso, Xiaolan Wang, Yoshihiko Suhara
http://arxiv.org/abs/2110.07520v1
• [cs.CL]Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Alan Ansell, Edoardo Maria Ponti, Anna Korhonen, Ivan Vulić
http://arxiv.org/abs/org/abs/2110.07560v1
• [cs.CL]Compressibility of Distributed Document Representations
Blaž Škrlj, Matej Petkovič
http://arxiv.org/abs/2110.07595v1
• [cs.CL]Context-gloss Augmentation for Improving Word Sense Disambiguation
Guan-Ting Lin, Manuel Giambi
http://arxiv.org/abs/2110.07174v1
• [cs.CL]Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering
Benjamin Muller, Luca Soldaini, Rik Koncel-Kedziorski, Eric Lind, Alessandro Moschitti
http://arxiv.org/abs/2110.07150v1
• [cs.CL]Delphi: Towards Machine Ethics and Norms
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jon Borchardt, Jenny Liang, Oren Etzioni, Maarten Sap, Yejin Choi
http://arxiv.org/abs/2110.07574v1
• [cs.CL]Designing Language Technologies for Social Good: The Road not Taken
Namrata Mukhija, Monojit Choudhury, Kalika Bali
http://arxiv.org/abs/2110.07444v1
• [cs.CL]Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages
Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar
http://arxiv.org/abs/2110.07385v1
• [cs.CL]Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph
Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang
http://arxiv.org/abs/2110.07477v1
• [cs.CL]FlexiTerm: A more efficient implementation of flexible multi-word term recognition
Irena Spasic
http://arxiv.org/abs/2110.06981v1
• [cs.CL]Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition
Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang
http://arxiv.org/abs/2110.07480v1
• [cs.CL]Identifying Introductions in Podcast Episodes from Automatically Generated Transcripts
Elise Jing, Kristiana Schneck, Dennis Egan, Scott A. Waterman
http://arxiv.org/abs/2110.07096v1
• [cs.CL]LAGr: Labeling Aligned Graphs for Improving Systematic Generalization in Semantic Parsing
Dora Jambor, Dzmitry Bahdanau
http://arxiv.org/abs/2110.07572v1
• [cs.CL]LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin, Shafiq Joty
http://arxiv.org/abs/2110.07298v1
• [cs.CL]Language Modelling via Learning to Rank
Arvid Frydenlund, Gagandeep Singh, Frank Rudzicz
http://arxiv.org/abs/2110.06961v1
• [cs.CL]MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes
Vivek Khetan, Md Imbesat Hassan Rizvi, Jessica Huber, Paige Bartusiak, Bogdan Sacaleanu, Andrew Fano
http://arxiv.org/abs/2110.07090v1
• [cs.CL]MReD: A Meta-Review Dataset for Controllable Text Generation
Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si
http://arxiv.org/abs/2110.07474v1
• [cs.CL]Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese
Zhuosheng Zhang, Hanqing Zhang, Keming Chen, Yuhang Guo, Jingyun Hua, Yulong Wang, Ming Zhou
http://arxiv.org/abs/2110.06696v2
• [cs.CL]Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, Maosong Sun
http://arxiv.org/abs/2110.07139v1
• [cs.CL]MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization
Prafulla Kumar Choubey, Jesse Vig, Wenhao Liu, Nazneen Fatema Rajani
http://arxiv.org/abs/2110.07166v1
• [cs.CL]Neural Attention-Aware Hierarchical Topic Model
Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray Buntine
http://arxiv.org/abs/2110.07161v1
• [cs.CL]Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li
http://arxiv.org/abs/2110.07515v1
• [cs.CL]On the Pitfalls of Analyzing Individual Neurons in Language Models
Omer Antverg, Yonatan Belinkov
http://arxiv.org/abs/2110.07483v1
• [cs.CL]Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang
http://arxiv.org/abs/2110.06962v1
• [cs.CL]P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts
Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani
http://arxiv.org/abs/2110.07280v1
• [cs.CL]P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, Zhengxiao Du, Zhilin Yang, Jie Tang
http://arxiv.org/abs/2110.07602v1
• [cs.CL]Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
Xin Zhou, Ruotian Ma, Tao Gui, Yiding Tan, Qi Zhang, Xuanjing Huang
http://arxiv.org/abs/2110.07331v1
• [cs.CL]Practical Benefits of Feature Feedback Under Distribution Shift
Anurag Katakkar, Weiqin Wang, Clay H. Yoo, Zachary C. Lipton, Divyansh Kaushik
http://arxiv.org/abs/2110.07566v1
• [cs.CL]Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
http://arxiv.org/abs/2110.07476v1
• [cs.CL]Representation Decoupling for Open-Domain Passage Retrieval
Bohong Wu, Zhuosheng Zhang, Jinyuan Wang, Hai Zhao
http://arxiv.org/abs/2110.07524v1
• [cs.CL]Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
Prathyusha Jwalapuram, Shafiq Joty, Xiang Lin
http://arxiv.org/abs/2110.07198v1
• [cs.CL]Retrieval-guided Counterfactual Generation for QA
Bhargavi Paranjape, Matthew Lamm, Ian Tenney
http://arxiv.org/abs/2110.07596v1
• [cs.CL]Revisiting IPA-based Cross-lingual Text-to-speech
Haitong Zhang, Yue Lin
http://arxiv.org/abs/2110.07187v1
• [cs.CL]RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking
Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
http://arxiv.org/abs/2110.07367v1
• [cs.CL]SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures
Megan Ung, Jing Xu, Y-Lan Boureau
http://arxiv.org/abs/2110.07518v1
• [cs.CL]Solving Aspect Category Sentiment Analysis as a Text Generation Task
Jian Liu, Zhiyang Teng, Leyang Cui, Hanmeng Liu, Yue Zhang
http://arxiv.org/abs/2110.07310v1
• [cs.CL]Speech Toxicity Analysis: A New Spoken Language Processing Task
Sreyan Ghosh, Samden Lepcha, S Sakshi, Rajiv Ratn Shah
http://arxiv.org/abs/2110.07592v1
• [cs.CL]Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset
Ian Palmer, Andrew Rouditchenko, Andrei Barbu, Boris Katz, James Glass
http://arxiv.org/abs/2110.07575v1
• [cs.CL]Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
Peter West, Chandra Bhagavatula, Jack Hessel, Jena D. Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, Yejin Choi
http://arxiv.org/abs/2110.07178v1
• [cs.CL]The Irrationality of Neural Rationale Models
Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou
http://arxiv.org/abs/2110.07550v1
• [cs.CL]Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
http://arxiv.org/abs/2110.07038v1
• [cs.CL]Towards More Effective and Economic Sparsely-Activated Model
Hao Jiang, Ke Zhan, Jianwei Qu, Yongkang Wu, Zhaoye Fei, Xinyu Zhang, Lei Chen, Zhicheng Dou, Xipeng Qiu, Zikai Guo, Ruofei Lai, Jiawen Wu, Enrui Hu, Yinxia Zhang, Yantao Jia, Fan Yu, Zhao Cao
http://arxiv.org/abs/2110.07431v1
• [cs.CL]Transferring Semantic Knowledge Into Language Encoders
Mohammad Umair, Francis Ferraro
http://arxiv.org/abs/2110.07382v1
• [cs.CL]Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray Buntine
http://arxiv.org/abs/2110.07160v1
• [cs.CL]Understanding Model Robustness to User-generated Noisy Texts
Jakub Náplava, Martin Popel, Milan Straka, Jana Straková
http://arxiv.org/abs/2110.07428v1
• [cs.CL]UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
Yuning Mao, Lambert Mathias, Rui Hou, Amjad Almahairi, Hao Ma, Jiawei Han, Wen-tau Yih, Madian Khabsa
http://arxiv.org/abs/2110.07577v1
• [cs.CL]WMDecompose: A Framework for Leveraging the Interpretable Properties of Word Mover’s Distance in Sociocultural Analysis
Mikael Brunila, Jack LaViolette
http://arxiv.org/abs/2110.07330v1
• [cs.CL]bert2BERT: Towards Reusable Pretrained Language Models
Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu
http://arxiv.org/abs/2110.07143v1
• [cs.CR]Bugs in our Pockets: The Risks of Client-Side Scanning
Hal Abelson, Ross Anderson, Steven M. Bellovin, Josh Benaloh, Matt Blaze, Jon Callas, Whitfield Diffie, Susan Landau, Peter G. Neumann, Ronald L. Rivest, Jeffrey I. Schiller, Bruce Schneier, Vanessa Teague, Carmela Troncoso
http://arxiv.org/abs/2110.07450v1
• [cs.CR]Covert Message Passing over Public Internet Platforms Using Model-Based Format-Transforming Encryption
Luke A. Bauer, James K. Howes IV, Sam A. Markelon, Vincent Bindschaedler, Thomas Shrimpton
http://arxiv.org/abs/2110.07009v1
• [cs.CR]On Adversarial Vulnerability of PHM algorithms: An Initial Study
Weizhong Yan, Zhaoyuan Yang, Jianwei Qiu
http://arxiv.org/abs/2110.07462v1
• [cs.CR]Privacy Impact Assessment: Comparing methodologies with a focus on practicality
Tamas Bisztray, Nils Gruschka
http://arxiv.org/abs/2110.07366v1
• [cs.CV]A CLIP-Enhanced M
503
ethod for Video-Language Understanding
Guohao Li, Feng He, Zhifan Feng
http://arxiv.org/abs/2110.07137v1
• [cs.CV]A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification
Feras Albardi, H M Dipu Kabir, Md Mahbub Islam Bhuiyan, Parham M. Kebria, Abbas Khosravi, Saeid Nahavandi
http://arxiv.org/abs/2110.07097v1
• [cs.CV]Adversarial examples by perturbing high-level features in intermediate decoder layers
Vojtěch Čermák, Lukáš Adam
http://arxiv.org/abs/2110.07182v1
• [cs.CV]Automatic Modeling of Social Concepts Evoked by Art Images as Multimodal Frames
Delfina Sol Martinez Pandiani, Valentina Presutti
http://arxiv.org/abs/2110.07420v1
• [cs.CV]ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
http://arxiv.org/abs/2110.06864v2
• [cs.CV]ClonalNet: Classifying Better by Focusing on Confusing Categories
Xue Zhang, Hui-Liang Shen
http://arxiv.org/abs/2110.07307v1
• [cs.CV]Coarse to Fine: Video Retrieval before Moment Localization
Zijian Gao, Huanyu Liu, Jingyu Liu
http://arxiv.org/abs/2110.07201v1
• [cs.CV]Considering user agreement in learning to predict the aesthetic quality
Suiyi Ling, Andreas Pastor, Junle Wang, Patrick Le Callet
http://arxiv.org/abs/2110.06956v1
• [cs.CV]Contrastive Proposal Extension with Sequential Network for Weakly Supervised Object Detection
Pei Lv, Suqi Hu, Tianran Hao, Haohan Ji, Lisha Cui, Haoyi Fan, Mingliang Xu, Changsheng Xu
http://arxiv.org/abs/2110.07511v1
• [cs.CV]Data Incubation — Synthesizing Missing Data for Handwriting Recognition
Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan Dixon, Oncel Tuzel
http://arxiv.org/abs/2110.07040v1
• [cs.CV]DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
Anargyros Chatzitofis, Dimitrios Zarpalas, Stefanos Kollias, Petros Daras
http://arxiv.org/abs/2110.07283v1
• [cs.CV]DeepSSM: A Blueprint for Image-to-Shape Deep Learning Models
Riddhish Bhalodia, Shireen Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, Ross Whitaker
http://arxiv.org/abs/2110.07152v1
• [cs.CV]Domain Adaptation on Semantic Segmentation with Separate Affine Transformation in Batch Normalization
Junhao Yan, Woonsok Lee
http://arxiv.org/abs/2110.07376v1
• [cs.CV]Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
http://arxiv.org/abs/2110.07058v1
• [cs.CV]Fast Hand Detection in Collaborative Learning Environments
Sravani Teeparthi, Venkatesh Jatla, Marios S. Pattichis, Sylvia Celedon Pattichis, Carlos LopezLeiva
http://arxiv.org/abs/2110.07070v1
• [cs.CV]HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
nargyros Chatzitofis, Leonidas Saroglou, Prodromos Boutis, Petros Drakoulis, Nikolaos Zioulis, Shishir Subramanyam, Bart Kevelham, Caecilia Charbonnier, Pablo Cesar, Dimitrios Zarpalas, Stefanos Kollias, Petros Daras
http://arxiv.org/abs/2110.07235v1
• [cs.CV]Learning Temporal 3D Human Pose Estimation with Pseudo-Labels
Arij Bouazizi, Ulrich Kressel, Vasileios Belagiannis
http://arxiv.org/abs/2110.07578v1
• [cs.CV]Modeling dynamic target deformation in camera calibration
Annika Hagemann, Moritz Knorr, Christoph Stiller
http://arxiv.org/abs/2110.07322v1
• [cs.CV]NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Y. Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan
http://arxiv.org/abs/2110.07604v1
• [cs.CV]Nuisance-Label Supervision: Robustness Improvement by Free Labels
Xinyue Wei, Weichao Qiu, Yi Zhang, Zihao Xiao, Alan Yuille
http://arxiv.org/abs/2110.07118v1
• [cs.CV]Playing for 3D Human Recovery
Zhongang Cai, Mingyuan Zhang, Jiawei Ren, Chen Wei, Daxuan Ren, Jiatong Li, Zhengyu Lin, Haiyu Zhao, Shuai Yi, Lei Yang, Chen Change Loy, Ziwei Liu
http://arxiv.org/abs/2110.07588v1
• [cs.CV]Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation
Joshua Peeples, Daniel Suen, Alina Zare, James Keller
http://arxiv.org/abs/2110.07433v1
• [cs.CV]RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach
Ryo Fujii, Ryo Hachiuma, Hideo Saito
http://arxiv.org/abs/2110.07413v1
• [cs.CV]Region Semantically Aligned Network for Zero-Shot Learning
Ziyang Wang, Yunhao Gou, Jingjing Li, Yu Zhang, Yang Yang
http://arxiv.org/abs/2110.07130v1
• [cs.CV]Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
Jinxi Wang, Jincen Jiang, Xuequan Lu, Meili Wang
http://arxiv.org/abs/2110.07253v1
• [cs.CV]SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation
Junho Kim, Eun Sun Lee, Mingi Lee, Donsu Zhang, Young Min Kim
http://arxiv.org/abs/2110.07171v1
• [cs.CV]Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency
Eun Sun Lee, Junho Kim, Young Min Kim
http://arxiv.org/abs/2110.07184v1
• [cs.CV]Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang, Tao Kong, Rufeng Zhang, Huaping Liu, Hang Li
http://arxiv.org/abs/2110.07402v1
• [cs.CV]Semantically Distributed Robust Optimization for Vision-and-Language Inference
Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
http://arxiv.org/abs/2110.07165v1
• [cs.CV]Semi-supervised Multi-task Learning for Semantics and Depth
Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang
http://arxiv.org/abs/2110.07197v1
• [cs.CV]Simple Baseline for Single Human Motion Forecasting
Chenxi Wang, Yunfeng Wang, Zixuan Huang, Zhiwen Chen
http://arxiv.org/abs/2110.07495v1
• [cs.CV]Sub-word Level Lip Reading With Visual Attention
Prajwal K R, Triantafyllos Afouras, Andrew Zisserman
http://arxiv.org/abs/2110.07603v1
• [cs.CV]Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek, Ekin Akyürek, Derry Wijaya, Jacob Andreas
http://arxiv.org/abs/2110.07059v1
• [cs.CV]Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather
Younkwan Lee, Jihyo Jeon, Yeongmin Ko, Byunggwan Jeon, Moongu Jeon
http://arxiv.org/abs/2110.07206v1
• [cs.CV]The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning
Haider Al-Tahan, Yalda Mohsenzadeh
http://arxiv.org/abs/2110.07082v1
• [cs.CV]Top 3 in FG 2021 Families In the Wild Kinship Verification Challenge
Junyi Huang, Maxwell Benjamin Strome, Ian Jenkins, Parker Williams, Bo Feng, Yaning Wang, Roman Wang, Vaibhav Bagri, Newman Cheng, Iddo Drori
http://arxiv.org/abs/2110.07020v1
• [cs.CV]Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution
Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
http://arxiv.org/abs/2110.07202v1
• [cs.CV]Video-based cattle identification and action recognition
Chuong Nguyen, Dadong Wang, Karl Von Richter, Philip Valencia, Flavio A. P. Alvarenga, Gregory Bishop-Hurley
http://arxiv.org/abs/2110.07103v1
• [cs.CV]View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Xinge You
http://arxiv.org/abs/2110.07288v1
• [cs.CV]Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang
http://arxiv.org/abs/2110.07110v1
• [cs.CY]Dynamic Conflict Resolution of IoT Services in Smart Homes
Dipankar Chaki, Athman Bouguettaya
http://arxiv.org/abs/2110.07083v1
• [cs.CY]Ethics lines and Machine learning: a design and simulation of an Association Rules Algorithm for exploiting the data
Patrici Calvo, Rebeca Egea-Moreno
http://arxiv.org/abs/2110.07370v1
• [cs.DC]Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers
Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim
http://arxiv.org/abs/2110.07029v1
• [cs.HC]A Time-Optimized Content Creation Workflow for Remote Teaching
Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
http://arxiv.org/abs/2110.05601v2
• [cs.IR]A Survey on Legal Question Answering Systems
Jorge Martinez-Gil
http://arxiv.org/abs/2110.07333v1
• [cs.IR]Deconfounded Causal Collaborative Filtering
Shuyuan Xu, Juntao Tan, Shelby Heinecke, Jia Li, Yongfeng Zhang
http://arxiv.org/abs/2110.07122v1
• [cs.IR]Presenting a Larger Up-to-date Movie Dataset and Investigating the Effects of Pre-released Attributes on Gross Revenue
Arnab Sen Sharma, Tirtha Roy, Sadique Ahmmod Rifat, Maruf Ahmed Mridul
http://arxiv.org/abs/2110.07039v1
• [cs.IR]Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating
Kun Yi, Ryu Yamagishi, Taishan Li, Zhengyang Bai, Qiang Ma
http://arxiv.org/abs/2110.06523v2
• [cs.IR]Relation-aware Heterogeneous Graph for User Profiling
Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang
http://arxiv.org/abs/2110.07181v1
• [cs.IR]Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking
Doug Beeferman, Hang Jiang
http://arxiv.org/abs/2110.07337v1
• [cs.IR]Web Search via an Efficient and Effective Brain-Machine Interface
Xuesong Chen, Ziyi Ye, Xiaohui Xie, Yiqun Liu, Weihang Su, Shuqi Zhu, Min Zhang, Shaoping Ma
http://arxiv.org/abs/2110.07225v1
• [cs.IR]Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin, Chenyan Xiong, Ashwin Srinivasan, Ankita Sharma, Damien Jose, Paul N. Bennett
http://arxiv.org/abs/2110.07581v1
• [cs.IT]6G: Connectivity in the Era of Distributed Intelligence
Shilpa Talwar, Nageen Himayat, Hosein Nikopour, Feng Xue, Geng Wu, Vida Ilderem
http://arxiv.org/abs/2110.07052v1
• [cs.IT]ADMM-DAD net: a deep unfolding network for analysis compressed sensing
Vasiliki Kouni, Georgios Paraskevopoulos, Holger Rauhut, George C. Alexandropoulos
http://arxiv.org/abs/2110.06986v1
• [cs.IT]Cell-Free Massive MIMO for 6G Wireless Communication Networks
Hengtao He, Xianghao Yu, Jun Zhang, S. H. Song, Khaled B. Letaief
http://arxiv.org/abs/2110.07309v1
• [cs.IT]Connection Management xAPP for O-RAN RIC: A Graph Neural Network and Reinforcement Learning Approach
Oner Orhan, Vasuki Narasimha Swamy, Thomas Tetzlaff, Marcel Nassar, Hosein Nikopour, Shilpa Talwar
http://arxiv.org/abs/2110.07525v1
• [cs.IT]Fundamental Limits of Combinatorial Multi-Access Caching
Federico Brunero, Petros Elia
http://arxiv.org/abs/2110.07426v1
• [cs.IT]Lossy Compression with Universal Distortion
Adeel Mahmood, Aaron B. Wagner
http://arxiv.org/abs/2110.07022v1
• [cs.IT]On Downlink Interference Decoding In Multi-Cell Massive MIMO Systems
Meysam Shahrbaf Motlagh, Subhajit Majhi, Patrick Mitran, Hideki Ochiai
http://arxiv.org/abs/2110.07107v1
• [cs.IT]On some batch code properties of the simplex code
Henk D. L. Hollmann, Karan Khathuria, Ago-Erik Riet, Vitaly Skachek
http://arxiv.org/abs/2110.07421v1
• [cs.IT]Optimal Update in Energy Harvesting Aided Terahertz Communications with Random Blocking
Lixin Wang, Fuzhou Peng, Xiang Chen, Shidong Zhou
http://arxiv.org/abs/2110.07233v1
• [cs.IT]Proactive Mobility Management of UEs using Sequence-to-Sequence Modeling
Vijaya Yajnanarayana
http://arxiv.org/abs/2110.07262v1
• [cs.IT]Resource Allocation for Simultaneous Wireless Information and Power Transfer Systems: A Tutorial Overview
Zhiqiang Wei, Xianghao Yu, Derrick Wing Kwan Ng, Robert Schober
http://arxiv.org/abs/2110.07296v1
• [cs.IT]Secure Precoding in MIMO-NOMA: A Deep Learning Approach
Jordan Pauls, Mojtaba Vaezi
http://arxiv.org/abs/2110.07121v1
• [cs.IT]Shortened Polarization Kernels
Grigorii Trofimiuk
http://arxiv.org/abs/2110.07351v1
• [cs.LG]AI Total: Analyzing Security ML Models with Imperfect Data in Production
Awalin Sopan, Konstantin Berlin
http://arxiv.org/abs/2110.07028v1
• [cs.LG]Adaptive Differentially Private Empirical Risk Minimization
Xiaoxia Wu, Lingxiao Wang, Irina Cristali, Quanquan Gu, Rebecca Willett
http://arxiv.org/abs/2110.07435v1
• [cs.LG]Asymmetric Graph Representation Learning
Zhuo Tan, Bin Liu, Guosheng Yin
http://arxiv.org/abs/2110.07436v1
• [cs.LG]Block Contextual MDPs for Continual Learning
Shagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang
http://arxiv.org/abs/2110.06972v1
• [cs.LG]Bond Default Prediction with Text Embeddings, Undersampling and Deep Learning
Luke Jordan
http://arxiv.org/abs/2110.07035v1
• [cs.LG]Brittle interpretations: The Vulnerability of TCAV and Other Concept-based Explainability Tools to Adversarial Attack
Davis Brown, Henry Kvinge
http://arxiv.org/abs/2110.07120v1
• [cs.LG]Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps
Nico Courts, Henry Kvinge
http://arxiv.org/abs/2110.06983v1
• [cs.LG]Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?
Matthew Farrell, Blake Bordelon, Shubhendu Trivedi, Cengiz Pehlevan
http://arxiv.org/abs/2110.07472v1
• [cs.LG]Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning
Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon
http://arxiv.org/abs/2110.07276v1
• [cs.LG]Challenges for Unsupervised Anomaly Detection in Particle Physics
Katherine Fraser, Samuel Homiller, Rashmish K. Mishra, Bryan Ostdiek, Matthew D. Schwartz
http://arxiv.org/abs/2110.06948v1
• [cs.LG]DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks
Yixiang Wang, Jiqiang Liu, Xiaolin Chang, Jianhua Wang, Ricardo J. Rodríguez
http://arxiv.org/abs/2110.07305v1
• [cs.LG]Deep Metric Learning with Locality Sensitive Angular Loss for Self-Correcting Source Separation of Neural Spiking Signals
Alexander Kenneth Clarke, Dario Farina
http://arxiv.org/abs/2110.07046v1
• [cs.LG]Detecting Renewal States in Chains of Variable Length via Intrinsic Bayes Factors
Victor Freguglia, Nancy Garcia
http://arxiv.org/abs/2110.07430v1
• [cs.LG]Diffusion Normalizing Flow
Qinsheng Zhang, Yongxin Chen
http://arxiv.org/abs/2110.07579v1
• [cs.LG]ES-Based Jacobian Enables Faster Bilevel Optimization
Daouda Sow, Kaiyi Ji, Yingbin Liang
http://arxiv.org/abs/2110.07004v1
• [cs.LG]Evaluating Off-the-Shelf Machine Listening and Natural Language Models for Automated Audio Captioning
Benno Weck, Xavier Favory, Konstantinos Drossos, Xavier Serra
http://arxiv.org/abs/2110.07410v1
• [cs.LG]Federated Learning Over Cellular-Connected UAV Networks with Non-IID Datasets
Di-Chun Liang, Chun-Hung Liu, Rung-Hung Gau, Lu Wei
http://arxiv.org/abs/2110.07077v1
• [cs.LG]Graph Condensation for Graph Neural Networks
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
http://arxiv.org/abs/2110.07580v1
• [cs.LG]How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies
Bao Wang, Hedi Xia, Tan Nguyen, Stanley Osher
http://arxiv.org/abs/2110.07034v1
• [cs.LG]How to train RNNs on chaotic data?
Zahra Monfared, Jonas M. Mikhaeil, Daniel Durstewitz
http://arxiv.org/abs/2110.07238v1
• [cs.LG]Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection
Mhafuzul Islam, Mashrur Chowdhury, Zadid Khan, Sakib Mahmud Khan
http://arxiv.org/abs/2110.07467v1
• [cs.LG]Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu
http://arxiv.org/abs/2110.07347v1
• [cs.LG]Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula, Georgios Smyrnis, Matt Jordan, Alexandros G. Dimakis
http://arxiv.org/abs/2110.07439v1
• [cs.LG]Looper: An end-to-end ML platform for product decisions
Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Sze Wai Yuen, Mia Garrard, Sarah Tran, Yin Huang, Zehui Wang, Igor Glotov, Tanvi Gupta, Boshuang Huang, Peng Chen, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou
http://arxiv.org/abs/2110.07554v1
• [cs.LG]Multi-objective Clustering: A Data-driven Analysis of MOCLE, MOCK and -MOCK
Adriano Kultzak, Cristina Y. Morimoto, Aurora Pozo, Marcílio C. P. de Souto
http://arxiv.org/abs/2110.07521v1
• [cs.LG]Multi-task problems are not multi-objective
Michael Ruchte, Josif Grabocka
http://arxiv.org/abs/2110.07301v1
• [cs.LG]Offline Reinforcement Learning with Soft Behavior Regularization
Haoran Xu, Xianyuan Zhan, Jianxiong Li, Honglei Yin
http://arxiv.org/abs/2110.07395v1
• [cs.LG]Omni-Training for Data-Efficient Deep Learning
Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long
http://arxiv.org/abs/2110.07510v1
• [cs.LG]Order Constraints in Optimal Transport
Fabian Lim, Laura Wynter, Shiau Hong Lim
http://arxiv.org/abs/2110.07275v1
• [cs.LG]Out-of-Distribution Robustness in Deep Learning Compression
Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
http://arxiv.org/abs/2110.07007v1
• [cs.LG]Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
http://arxiv.org/abs/2110.06980v1
• [cs.LG]Physics informed neural networks for continuum micromechanics
Alexander Henkes, Henning Wessels, Rolf Mahnken
http://arxiv.org/abs/2110.07374v1
• [cs.LG]Procrastinated Tree Search: Black-box Optimization with Delayed, Noisy, and Multi-fidelity Feedback
Junxiong Wang, Debabrota Basu, Immanuel Trummer
http://arxiv.org/abs/2110.07232v1
• [cs.LG]Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication
Justin Lidard, Udari Madhushani, Naomi Ehrich Leonard
http://arxiv.org/abs/2110.07392v1
• [cs.LG]ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
http://arxiv.org/abs/2110.07317v1
• [cs.LG]Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Yi Liu, Yuanshao Zhu, James J. Q. Yu
http://arxiv.org/abs/2110.07567v1
• [cs.LG]Rethinking the Representational Continuity: Towards Unsupervised Continual Learning
Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
http://arxiv.org/abs/2110.06976v1
• [cs.LG]Scalable Graph Embedding LearningOn A Single GPU
Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar
http://arxiv.org/abs/2110.06991v1
• [cs.LG]Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Gabriele Prato, Simon Guiroy, Ethan Caballero, Irina Rish, Sarath Chandar
http://arxiv.org/abs/2110.06990v1
• [cs.LG]Sign and Relevance learning
Sama Daryanavard, Bernd Porr
http://arxiv.org/abs/2110.07292v1
• [cs.LG]SoGCN: Second-Order Graph Convolutional Networks
Peihao Wang, Yuehao Wang, Hua Lin, Jianbo Shi
http://arxiv.org/abs/2110.07141v1
• [cs.LG]Sustainability Through Cognition Aware Safety Systems — Next Level Human-Machine-Interaction
Juergen Mangler, Konrad Diwol, Dieter Etz, Stefanie Rinderle-Ma, Alois Ferscha, Gerald Reiner, Wolfgang Kastner, Sebastien Bougain, Christoph Pollak, Michael Haslgrübler
http://arxiv.org/abs/2110.07003v1
• [cs.LG]The Neglected Sibling: Isotropic Gaussian Posterior for VAE
Lan Zhang, Wray Buntine, Ehsan Shareghi
http://arxiv.org/abs/2110.07383v1
• [cs.LG]The Neural MMO Platform for Massively Multiagent Research
Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
http://arxiv.org/abs/2110.07594v1
• [cs.LG]Time Series Clustering for Human Behavior Pattern Mining
Rohan Kabra, Divya Saxena, Dhaval Patel, Jiannong Cao
http://arxiv.org/abs/2110.07549v1
• [cs.LG]Universally Rank Consistent Ordinal Regression in Neural Networks
Garrett Jenkinson, Kia Khezeli, Gavin R. Oliver, John Kalantari, Eric W. Klee
http://arxiv.org/abs/2110.07470v1
• [cs.LG]Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin
http://arxiv.org/abs/2110.07584v1
• [cs.LG]VABO: Violation-Aware Bayesian Optimization for Closed-Loop Control Performance Optimization with Unmodeled Constraints
Wenjie Xu, Colin N Jones, Bratislav Svetozarevic, Christopher R. Laughman, Ankush Chakrabarty
http://arxiv.org/abs/2110.07479v1
• [cs.LG]Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
Guillaume Martinet, Alexander Strzalkowski, Barbara E. Engelhardt
http://arxiv.org/abs/2110.07064v1
• [cs.LG]WAFFLE: Weighted Averaging for Personalized Federated Learning
Martin Beaussart, Felix Grimberg, Mary-Anne Hartley, Martin Jaggi
http://arxiv.org/abs/2110.06978v1
• [cs.LG]Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis — and What to Use Instead
Kamil Szyc, Tomasz Walkowiak, Henryk Maciejewski
http://arxiv.org/abs/2110.07043v1
• [cs.LG]Why Propagate Alone? Parallel Use of Labels and Features on Graphs
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf
http://arxiv.org/abs/2110.07190v1
• [cs.LG]sMGC: A Complex-Valued Graph Convolutional Network via Magnetic Laplacian for Directed Graphs
Jie Zhang, Bo Hui, Po-Wei Harn, Min-Te Sun, Wei-Shinn Ku
http://arxiv.org/abs/2110.07570v1
• [cs.MA]HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Zhiwei Xu, Yunpeng Bai, Bin Zhang, Dapeng Li, Guoliang Fan
http://arxiv.org/abs/2110.07246v1
• [cs.RO]A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA
Pei Li, Arpan Kusari, David J. LeBlanc
http://arxiv.org/abs/2110.07111v1
• [cs.RO]Active SLAM over Continuous Trajectory and Control: A Covariance-Feedback Approach
Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
http://arxiv.org/abs/2110.07546v1
• [cs.RO]Human-Robot Collaboration and Machine Learning: A Systematic Review of Recent Research
Francesco Semeraro, Alexander Griffiths, Angelo Cangelosi
http://arxiv.org/abs/2110.07448v1
• [cs.RO]Integrated Path Planning and Tracking Control of Marine Current Turbine in Uncertain Ocean Environments
Arezoo Hasankhani, Ertugrul Baris Ondes, Yufei Tang, Cornel Sultan, James VanZwieten
http://arxiv.org/abs/2110.07105v1
• [cs.RO]Masking Effects in Combined Hardness and Stiffness Rendering Using an Encountered-Type Haptic Display
Naghmeh Zamani, Heather Culbertson
http://arxiv.org/abs/2110.06982v1
• [cs.RO]Monitoring the Mental State of Cooperativeness for Guiding an Elderly Person in Sit-to-Stand Assistance
John Bell, H. Harry Asada
http://arxiv.org/abs/2110.07127v1
• [cs.RO]Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement
Tianyu Shi, Dong Chen, Kaian Chen, Zhaojian Li
http://arxiv.org/abs/2110.07067v1
• [cs.RO]Socially assistive robots’ deployment in healthcare settings: a global perspective
Laura Aymerich-Franch, Iliana Ferrer
http://arxiv.org/abs/2110.07404v1
• [cs.RO]The Design and Simulation of Biomimetic Fish Robot for Aquatic Creature Study
Ningzhe Hou
http://arxiv.org/abs/2110.07019v1
• [cs.SD]Comparison of SVD and factorized TDNN approaches for speech to text
Jeffrey Josanne Michael, Nagendra Kumar Goel, Navneeth K, Jonas Robertson, Shravan Mishra
http://arxiv.org/abs/2110.07027v1
• [cs.SD]Conformer-Based Self-Supervised Learning for Non-Speech Audio Tasks
Sangeeta Srivastava, Yun Wang, Andros Tjandra, Anurag Kumar, Chunxi Liu, Kritika Singh, Yatharth Saraf
http://arxiv.org/abs/2110.07313v1
• [cs.SD]Improve Cross-lingual Voice Cloning Using Low-quality Code-switched Data
Haitong Zhang, Yue Lin
http://arxiv.org/abs/2110.07210v1
• [cs.SD]SpecSinGAN: Sound Effect Variation Synthesis Using Single-Image GANs
Adrián Barahona-Ríos, Tom Collins
http://arxiv.org/abs/2110.07311v1
• [cs.SD]Study of positional encoding approaches for Audio Spectrogram Transformers
Leonardo Pepino, Pablo Riera, Luciana Ferrer
http://arxiv.org/abs/2110.06999v1
• [cs.SE]DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing
Aizaz Sharif, Dusica Marijan, Marius Liaaen
http://arxiv.org/abs/2110.07443v1
• [cs.SI]Advances in Scaling Community Discovery Methods for Large Signed Graph Networks
Maria Tomasso, Lucas Rusnak, Jelena Tešić
http://arxiv.org/abs/2110.07514v1
• [cs.SI]Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan
http://arxiv.org/abs/2110.07582v1
• [cs.SI]Random Walks with Variable Restarts for Negative-Example-Informed Label Propagation
Sean Maxwell, Mehmet Koyuturk
http://arxiv.org/abs/2110.07011v1
• [econ.EM]Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators
Jiafeng Chen, Xiaohong Chen, Elie Tamer
http://arxiv.org/abs/2110.06763v2
• [eess.AS]Continual learning using lattice-free MMI for speech recognition
Hossein Hadian, Arseniy Gorin
http://arxiv.org/abs/2110.07055v1
• [eess.AS]SpeechT5: Unified-Modal Encoder-Decoder Pre-training for Spoken Language Processing
Junyi Ao, Rui Wang, Long Zhou, Shujie Liu, Shuo Ren, Yu Wu, Tom Ko, Qing Li, Yu Zhang, Zhihua Wei, Yao Qian, Jinyu Li, Furu Wei
http://arxiv.org/abs/2110.07205v1
• [eess.AS]Toward Degradation-Robust Voice Conversion
Chien-yu Huang, Kai-Wei Chang, Hung-yi Lee
http://arxiv.org/abs/2110.07537v1
• [eess.IV]High-throughput Phenotyping of Nematode Cysts
Long Chen, Matthias Daub, Hans-Georg Luigs, Marcus Jansen, Martin Strauch, Dorit Merhof
http://arxiv.org/abs/2110.07057v1
• [eess.IV]Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI
Carla Sendra-Balcells, Víctor M. Campello, Carlos Martín-Isla, David Vilades Medel, Martín Luís Descalzo, Andrea Guala, José F. Rodríguez Palomares, Karim Lekadir
http://arxiv.org/abs/2110.07360v1
• [eess.IV]Unsupervised Data-Driven Nuclei Segmentation For Histology Images
Vasileios Magoulianitis, Peida Han, Yijing Yang, C. -C. Jay Kuo
http://arxiv.org/abs/2110.07147v1
• [eess.SP]A Robotic Antenna Alignment and Tracking System for Millimeter Wave Propagation Modeling
Bharath Keshavamurthy, Yaguang Zhang, Christopher R. Anderson, Nicolo Michelusi, James V. Krogmeier, David J. Love
http://arxiv.org/abs/2110.07106v1
• [eess.SP]CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
http://arxiv.org/abs/2110.07191v1
• [eess.SP]Energy Cooperative Transmission Policy for Energy Harvesting Tags
Mengistu Abera Mulatu, Thembelihle Dlamini, Thokozani Shongwe, Mzabalazo Lupupa
http://arxiv.org/abs/2110.07359v1
• [eess.SP]Learning a Compressive Sensing Matrix with Structural Constraints via Maximum Mean Discrepancy Optimization
Michael Koller, Wolfgang Utschick
http://arxiv.org/abs/2110.07221v1
• [eess.SP]On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
Hoang-Son Nguyen, Yiran He, Hoi-To Wai
http://arxiv.org/abs/2110.07234v1
• [eess.SP]Robust MIMO Detection using Hypernetworks with Learned Regularizers
Nicolas Zilberstein, Chris Dick, Rahman Doost-Mohammady, Ashutosh Sabharwal, Santiago Segarra
http://arxiv.org/abs/2110.07053v1
• [eess.SP]Stability Analysis of Unfolded WMMSE for Power Allocation
Arindam Chowdhury, Fernando Gama, Santiago Segarra
http://arxiv.org/abs/2110.07471v1
• [eess.SY]Drone technology: interdisciplinary systematic assessment of knowledge gaps and potential solutions
Evgenii Vinogradov, Sofie Pollin
http://arxiv.org/abs/2110.07532v1
• [gr-qc]Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers
Asad Khan, E. A. Huerta, Huihuo Zheng
http://arxiv.org/abs/2110.06968v1
• [math.OC]Escaping Saddle Points in Nonconvex Minimax Optimization via Cubic-Regularized Gradient Descent-Ascent
Ziyi Chen, Yi Zhou
http://arxiv.org/abs/2110.07098v1
• [math.OC]Guided Policy Search using Sequential Convex Programming for Initialization of Trajectory Optimization Algorithms
Taewan Kim, Purnanand Elango, Danylo Malyuta, Behcet Acikmese
http://arxiv.org/abs/2110.06975v1
• [math.OC]On the Sample Complexity of Decentralized Linear Quadratic Regulator with Partially Nested Information Structure
Lintao Ye, Hao Zhu, Vijay Gupta
http://arxiv.org/abs/2110.07112v1
• [math.OC]The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
Guido Montúfar, Johannes Müller
http://arxiv.org/abs/2110.07409v1
• [math.PR]A Short Review of Ergodicity and Convergence of Markov chain Monte Carlo Estimators
Michael Betancourt
http://arxiv.org/abs/2110.07032v1
• [math.ST]Kernel estimation for the tail index of a right-censored Pareto-type distribution
Abdelhakim Necir, Louiza Soltane
http://arxiv.org/abs/2110.07459v1
• [math.ST]Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
Cole Franks, Rafael Oliveira, Akshay Ramachandran, Michael Walter
http://arxiv.org/abs/2110.07583v1
• [math.ST]Robust filtering of sequences with periodically stationary multiplicative seasonal increments
Maksym Luz, Mikhail Moklyachuk
http://arxiv.org/abs/2110.07189v1
• [physics.med-ph]A Novel Clustering-Based Algorithm for Continuous and Non-invasive Cuff-Less Blood Pressure Estimation
Ali Farki, Reza Baradaran Kazemzadeh, Elham Akhondzadeh Noughabi
http://arxiv.org/abs/2110.06996v1
• [q-bio.QM]CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq
Bryan He, Matthew Thomson, Meena Subramaniam, Richard Perez, Chun Jimmie Ye, James Zou
http://arxiv.org/abs/2110.07069v1
• [q-bio.QM]TDACNN: Target-domain-free Domain Adaptation Convolutional Neural Network for Drift Compensation in Gas Sensors
Yuelin Zhang, Jia Yan, Zehuan Wanga, Xiaoyan Peng, Yutong Tian, Shukai Duan
http://arxiv.org/abs/2110.07509v1
• [quant-ph]Quantum Rényi divergences and the strong converse exponent of state discrimination in operator algebras
Fumio Hiai, Milán Mosonyi
http://arxiv.org/abs/2110.07320v1
• [quant-ph]Solving Large Break Minimization Problems in a Mirrored Double Round-robin Tournament Using Quantum Annealing
Michiya Kuramata, Ryota Katsuki, Kazuhide Nakata
http://arxiv.org/abs/2110.07239v1
• [quant-ph]Style-based quantum generative adversarial networks for Monte Carlo events
Carlos Bravo-Prieto, Julien Baglio, Marco Cè, Anthony Francis, Dorota M. Grabowska, Stefano Carrazza
http://arxiv.org/abs/2110.06933v1
• [stat.AP]Dynamical non-Gaussian modelling of spatial processes
Thaís C. O. da Fonseca, Viviana G. R. Lobo, Alexandra M. Schmidt
http://arxiv.org/abs/2110.07344v1
• [stat.AP]Trading Data for Wind Power Forecasting: A Regression Market with Lasso Regularization
Liyang Han, Pierre Pinson, Jalal Kazempour
http://arxiv.org/abs/2110.07432v1
• [stat.ME]Distribution-Free Bayesian multivariate predictive inference
Daniel Yekutieli
http://arxiv.org/abs/2110.07361v1
• [stat.ME]Divide-and-Conquer Monte Carlo Fusion
Ryan S. Y. Chan, Murray Pollock, Adam M. Johansen, Gareth O. Roberts
http://arxiv.org/abs/2110.07265v1
• [stat.ME]Fast Approximate Inference for Spatial Extreme Value Models
Meixi Chen, Reza Ramezan, Martin Lysy
http://arxiv.org/abs/2110.07051v1
• [stat.ME]Fitting three-dimensional Laguerre tessellations by hierarchical marked point process models
Filip Seitl, Jesper Møller, Viktor Beneš
http://arxiv.org/abs/2110.07485v1
• [stat.ME]Sparse Linear Mixed Model Selection via Streamlined Variational Bayes
Emanuele Degani, Luca Maestrini, Dorota Toczydłowska, Matt P. Wand
http://arxiv.org/abs/2110.07048v1
• [stat.ME]Treatment Effect Detection with Controlled FDR under Dependence for Large-Scale Experiments
Yihan Bao, Shichao Han, Yong Wang
http://arxiv.org/abs/2110.07279v1
• [stat.ME]Using Multitask Gaussian Processes to estimate the effect of a targeted effort to remove firearms
David Arbour, Eli Ben-Michael, Avi Feller, Alex Franks, Steven Raphael
http://arxiv.org/abs/2110.07006v1
• [stat.ML]IB-GAN: A Unified Approach for Multivariate Time Series Classification under Class Imbalance
Grace Deng, Cuize Han, Tommaso Dreossi, Clarence Lee, David S. Matteson
http://arxiv.org/abs/2110.07460v1
• [stat.ML]Inferring Manifolds From Noisy Data Using Gaussian Processes
David B Dunson, Nan Wu
http://arxiv.org/abs/2110.07478v1
• [stat.ML]Interpretable transformed ANOVA approximation on the example of the prevention of forest fires
Daniel Potts, Michael Schmischke
http://arxiv.org/abs/2110.07353v1
• [stat.ML]Predictive models of RNA degradation through dual crowdsourcing
Hannah K. Wayment-Steele, Wipapat Kladwang, Andrew M. Watkins, Do Soon Kim, Bojan Tunguz, Walter Reade, Maggie Temkin, Jonathan Romano, Roger Wellington-Oguri, John J. Nicol, Jiayang Gao, Kazuki Onodera, Kazuki Fujikawa, Hanfei Mao, Gilles Vandewiele, Michele Tinti, Bram Steenwinckel, Takuya Ito, Taiga Noumi, Shujun He, Keiichiro Ishi, Youhan Lee, Fatih Öztürk, Anthony Chiu, Emin Öztürk, Karim Amer, Mohamed Fares, Eterna Participants, Rhiju Das
http://arxiv.org/abs/2110.07531v1
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