astro-ph.SR - 太阳和天体物理学恒星
cond-mat.mtrl-sci - 材料科学
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.DB - 数据库
cs.DC - 分布式、并行与集群计算
cs.DS - 数据结构与算法
cs.GT - 计算机科学与博弈论
cs.HC - 人机接口
cs.IR - 信息检索
cs.IT - 信息论
cs.LG - 自动学习
cs.MA - 多代理系统
cs.NE - 神经与进化计算
cs.NI - 网络和互联网体系结构
cs.RO - 机器人学
cs.SD - 声音处理
cs.SE - 软件工程
cs.SI - 社交网络与信息网络
econ.EM - 计量经济学
eess.IV - 图像与视频处理
eess.SP - 信号处理
math.NA - 数值分析
math.OC - 优化与控制
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.QM - 定量方法
q-fin.ST - 统计金融学
quant-ph - 量子物理
stat.AP - 应用统计
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [astro-ph.SR]Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods
• [cond-mat.mtrl-sci]An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics
• [cs.AI]Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
• [cs.AI]Reinforcement Learning with Information-Theoretic Actuation
• [cs.AI]Scalable Online Planning via Reinforcement Learning Fine-Tuning
• [cs.AI]Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding
• [cs.AI]The MatrixX Solver For Argumentation Frameworks
• [cs.AI]Width-Based Planning and Active Learning for Atari
• [cs.CL]A Review of Text Style Transfer using Deep Learning
• [cs.CL]A surprisal—duration trade-off across and within the world’s languages
• [cs.CL]BERT got a Date: Introducing Transformers to Temporal Tagging
• [cs.CL]BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
• [cs.CL]COVID-19 Fake News Detection Using Bidirectiona lEncoder Representations from Transformers Based Models
• [cs.CL]Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model
• [cs.CL]Compositional generalization in semantic parsing with pretrained transformers
• [cs.CL]CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
• [cs.CL]DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features
• [cs.CL]Focused Contrastive Training for Test-based Constituency Analysis
• [cs.CL]Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks
• [cs.CL]Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
• [cs.CL]MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
• [cs.CL]Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications
• [cs.CL]Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism
• [cs.CL]Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
• [cs.CL]Multi-granular Legal Topic Classification on Greek Legislation
• [cs.CL]Multilingual AMR Parsing with Noisy Knowledge Distillation
• [cs.CL]Phonetic Word Embeddings
• [cs.CL]Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
• [cs.CL]Prose2Poem: The blessing of Transformer-based Language Models in translating Prose to Persian Poetry
• [cs.CL]SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering
• [cs.CL]Semi-Supervised Text Classification via Self-Pretraining
• [cs.CL]Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
• [cs.CL]SlovakBERT: Slovak Masked Language Model
• [cs.CL]Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations
• [cs.CL]Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire
• [cs.CL]Towards Efficient Post-training Quantization of Pre-trained Language Models
• [cs.CR]A formal model for ledger management systems based on contracts and temporal logic
• [cs.CR]First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data
• [cs.CR]Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation
• [cs.CV]3D Pose Transfer with Correspondence Learning and Mesh Refinement
• [cs.CV]A Technical Report for ICCV 2021 VIPriors Re-identification Challenge
• [cs.CV]Adversarial Semantic Contour for Object Detection
• [cs.CV]AffectGAN: Affect-Based Generative Art Driven by Semantics
• [cs.CV]Augmented reality navigation system for visual prosthesis
• [cs.CV]CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
• [cs.CV]Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
• [cs.CV]CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
• [cs.CV]Detailed Region-Adaptive Normalization for Heavy Makeup Transfer
• [cs.CV]Egocentric Hand-object Interaction Detection and Application
• [cs.CV]Fake It Till You Make It: Face analysis in the wild using synthetic data alone
• [cs.CV]FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean
• [cs.CV]Forming a sparse representation for visual place recognition using a neurorobotic approach
• [cs.CV]GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
• [cs.CV]HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning
• [cs.CV]HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
• [cs.CV]Identity-Disentangled Neural Deformation Model for Dynamic Meshes
• [cs.CV]Improvising the Learning of Neural Networks on Hyperspherical Manifold
• [cs.CV]IntentVizor: Towards Generic Query Guided Interactive Video Summarization Using Slow-Fast Graph Convolutional Networks
• [cs.CV]LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network
• [cs.CV]Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
• [cs.CV]Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging
• [cs.CV]Moving Object Detection for Event-based vision using Graph Spectral Clustering
• [cs.CV]Real-Time Tactile Grasp Force Sensing Using Fingernail Imaging via Deep Neural Networks
• [cs.CV]Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach
• [cs.CV]Riedones3D: a celtic coin dataset for registration and fine-grained clustering
• [cs.CV]Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
• [cs.CV]Segmentation of Roads in Satellite Images using specially modified U-Net CNNs
• [cs.CV]Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA)
• [cs.CV]Semantic Dense Reconstruction with Consistent Scene Segments
• [cs.CV]Sensor-Guided Optical Flow
• [cs.CV]The Object at Hand: Automated Editing for Mixed Reality Video Guidance from Hand-Object Interactions
• [cs.CV]Transferability Estimation for Semantic Segmentation Task
• [cs.CV]TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
• [cs.CV]USIS: Unsupervised Semantic Image Synthesis
• [cs.CV]Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
• [cs.CV]Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation
• [cs.CV]Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation
• [cs.CV]Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
• [cs.CV]You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors
• [cs.CV]iShape: A First Step Towards Irregular Shape Instance Segmentation
• [cs.CY]Game and Simulation Design for Studying Pedestrian-Automated Vehicle Interactions
• [cs.CY]Targeted Ads and/as Racial Discrimination: Exploring Trends in New York City Ads for College Scholarships
• [cs.DB]A Friend Recommendation System using Semantic Based KNN Algorithm
• [cs.DC]Accelerating Fully Connected Neural Network on Optical Network-on-Chip (ONoC)
• [cs.DC]High-Availability Clusters A Taxonomy, Review, and Future Directions
• [cs.DS]Submodular Optimization Beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising
• [cs.GT]Matching Markets
• [cs.GT]Robust Allocations with Diversity Constraints
• [cs.HC]Collaborative Storytelling with Human Actors and AI Narrators
• [cs.HC]Mac Users Do It Differently: the Role of Operating System and Individual Differences in File Management
• [cs.HC]The Explanatory Gap in Algorithmic News Curation
• [cs.IR]Born Again Neural Rankers
• [cs.IR]Library of Congress Subject Heading (LCSH) Browsing and Natural Language Searching
• [cs.IR]Towards Understanding Trends Manipulation in Pakistan Twitter
• [cs.IR]USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
• [cs.IT]Brand Attitude in Social Networks: The Role of eWoM
• [cs.IT]Capacity Enhancement for Reconfigurable Intelligent Surface-Aided Wireless Network: from Regular Array to Irregular Array
• [cs.IT]Efficient Decoding of Folded Linearized Reed-Solomon Codes in the Sum-Rank Metric
• [cs.IT]Fundamental Rate-Memory Tradeoff for Coded Caching in Presence of User Inactivity
• [cs.IT]Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels
• [cs.IT]Low-Complexity Probabilistic Shaping for Coded Modulation
• [cs.IT]On the Kullback-Leibler divergence between discrete normal distributions
• [cs.IT]Stabilization Techniques for Iterative Algorithms in Compressed Sensing
• [cs.LG]A Generalized Hierarchical Nonnegative Tensor Decomposition
• [cs.LG]A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning
• [cs.LG]A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction
• [cs.LG]A system on chip for melanoma detection using FPGA-based SVM classifier
• [cs.LG]A useful criterion on studying consistent estimation in community detection
• [cs.LG]Active Refinement for Multi-Label Learning: A Pseudo-Label Approach
• [cs.LG]Adapting Bandit Algorithms for Settings with Sequentially Available Arms
• [cs.LG]An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
• [cs.LG]Batched Bandits with Crowd Externalities
• [cs.LG]Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning
• [cs.LG]BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
• [cs.LG]CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning
• [cs.LG]Coding for Straggler Mitigation in Federated Learning
• [cs.LG]Coordinated Reinforcement Learning for Optimizing Mobile Networks
• [cs.LG]DAAS: Differentiable Architecture and Augmentation Policy Search
• [cs.LG]Data Sharing and Compression for Cooperative Networked Control
• [cs.LG]Deep Embedded K-Means Clustering
• [cs.LG]Deep Neural Compression Via Concurrent Pruning and Self-Distillation
• [cs.LG]Deep neural networks with controlled variable selection for the identification of putative causal genetic variants
• [cs.LG]Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
• [cs.LG]Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
• [cs.LG]Explanation-Aware Experience Replay in Rule-Dense Environments
• [cs.LG]Federated Dropout — A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
• [cs.LG]Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation
• [cs.LG]From Zero-Shot Machine Learning to Zero-Day Attack Detection
• [cs.LG]Genealogical Population-Based Training for Hyperparameter Optimization
• [cs.LG]How Neural Processes Improve Graph Link Prediction
• [cs.LG]Impact of Channel Variation on One-Class Learning for Spoof Detection
• [cs.LG]Introducing the DOME Activation Functions
• [cs.LG]LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
• [cs.LG]Latent Network Embedding via Adversarial Auto-encoders
• [cs.LG]Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP)
• [cs.LG]Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting
• [cs.LG]Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
• [cs.LG]Physical Gradients for Deep Learning
• [cs.LG]Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data
• [cs.LG]Process discovery on deviant traces and other stranger things
• [cs.LG]Prune Your Model Before Distill It
• [cs.LG]Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
• [cs.LG]Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
• [cs.LG]SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
• [cs.LG]Scalable Rule-Based Representation Learning for Interpretable Classification
• [cs.LG]Semi-tensor Product-based TensorDecomposition for Neural Network Compression
• [cs.LG]Sequential Estimation under Multiple Resources: a Bandit Point of View
• [cs.LG]Surveillance Evasion Through Bayesian Reinforcement Learning
• [cs.LG]Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
• [cs.LG]Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder
• [cs.LG]Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
• [cs.LG]Vision-Aided Beam Tracking: Explore the Proper Use of Camera Images with Deep Learning
• [cs.LG]XPROAX-Local explanations for text classification with progressive neighborhood approximation
• [cs.MA]Decentralized Role Assignment in Multi-Agent Teams via Empirical Game-Theoretic Analysis
• [cs.NE]Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
• [cs.NI]A Social Cognitive Heuristic for Adaptive Data Dissemination in Mobile Opportunistic Networks
• [cs.NI]Crowdsourcing through Cognitive Opportunistic Networks
• [cs.NI]Stateful Function-as-a-Service at the Edge
• [cs.NI]Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things
• [cs.RO]A Generalized Kalman Filter Augmented Deep-Learning based Approach for Autonomous Landing in MAVs
• [cs.RO]Coordination of two robotic manipulators for object retrieval in clutter
• [cs.RO]Coverage Control in Multi-Robot Systems via Graph Neural Networks
• [cs.RO]D{é}composition et analyse de trac{é}s EMG pour aider au diagnostic des maladies neuromusculaires
• [cs.RO]Fly Out The Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight
• [cs.RO]Grounding Predicates through Actions
• [cs.RO]Guaranteed Rejection-free Sampling Method Using Past Behaviours for Motion Planning of Autonomous Systems
• [cs.RO]Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation
• [cs.RO]Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming
• [cs.RO]Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
• [cs.RO]Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace
• [cs.RO]Real Robot Challenge using Deep Reinforcement Learning
• [cs.RO]Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
• [cs.RO]Terrain-Aware Foot Placement for Bipedal Locomotion Combining Model Predictive Control, Virtual Constraints, and the ALIP
• [cs.RO]The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition
• [cs.RO]Uncertainty Estimation of Dense Optical-Flow for Robust Visual Navigation
• [cs.RO]Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
• [cs.SD]Adaptive Approach For Sparse Representations Using The Locally Competitive Algorithm For Audio
• [cs.SD]Assessing Algorithmic Biases for Musical Version Identification
• [cs.SD]Emergency Vehicles Audio Detection and Localization in AutonomousDriving
• [cs.SD]Fine-tuning wav2vec2 for speaker recognition
• [cs.SE]Predicting Code Review Completion Time in Modern Code Review
• [cs.SI]NPS-AntiClone: Identity Cloning Detection based on Non-Privacy-Sensitive User Profile Data
• [cs.SI]Transfer Learning Based Multi-Objective Evolutionary Algorithm for Community Detection of Dynamic Complex Networks
• [econ.EM]Causal Matrix Completion
• [eess.IV]A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images
• [eess.IV]A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors
• [eess.IV]Automated airway segmentation by learning graphical structure
• [eess.IV]Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning
• [eess.IV]Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images
• [eess.IV]Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
• [eess.IV]Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
• [eess.IV]Deep Contextual Video Compression
• [eess.IV]Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
• [eess.IV]End-to-End Image Compression with Probabilistic Decoding
• [eess.IV]MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation
• [eess.IV]Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT’s Semantic Segmentation
• [eess.IV]Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images
• [eess.IV]Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural
8ad
Networks
• [eess.SP]Convolution-Free Waveform Transformers for Multi-Lead ECG Classification
• [math.NA]Learning the Markov Decision Process in the Sparse Gaussian Elimination
• [math.NA]SCIMAT: Science and Mathematics Dataset
• [math.OC]A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
• [math.OC]Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
• [math.OC]On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems
• [math.ST]An exact test for significance of clusters in binary data
• [math.ST]Componentwise Equivariant Estimation of Order Restricted Location and Scale Parameters In Bivariate Models: A Unified Study
• [math.ST]Two Sample Testing in High Dimension via Maximum Mean Discrepancy
• [physics.soc-ph]Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation
• [physics.soc-ph]The anatomy of social dynamics in escape rooms
• [q-bio.QM]Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction
• [q-bio.QM]Stroke recovery phenotyping through network trajectory approaches and graph neural networks
• [q-fin.ST]Stock Index Prediction using Cointegration test and Quantile Loss
• [quant-ph]Variational learning of quantum ground states on spiking neuromorphic hardware
• [stat.AP]Non-parametric calibration of multiple related radiocarbon determinations and their calendar age summarisation
• [stat.AP]On simultaneous best linear unbiased prediction of future order statistics and associated properties
• [stat.ME]A Fast Detection Method of Break Points in Effective Connectivity Networks
• [stat.ME]A Markov Decision Process for Response-Adaptive Randomization in Clinical Trials
• [stat.ME]A flexible and robust non-parametric test of exchangeability
• [stat.ME]Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis
• [stat.ME]Bayesian Multi-Species N-Mixture Models for Unmarked Animal Communities
• [stat.ME]Dynamic probabilistic predictable feature analysis for high dimensional temporal monitoring
• [stat.ME]Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality
• [stat.ME]Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models
• [stat.ME]Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
• [stat.ME]Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis
• [stat.ME]Using neural networks to estimate parameters in spatial point process models
• [stat.ML]Adversarial Regression with Doubly Non-negative Weighting Matrices
• [stat.ML]Extracting stochastic dynamical systems with -stable Lévy noise from data
• [stat.ML]Kernel distance measures for time series, random fields and other structured data
• [stat.ML]Towards Principled Causal Effect Estimation by Deep Identifiable Models
• [stat.ML]Variational Marginal Particle Filters
·····································
• [astro-ph.SR]Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 Methods
Atharv Yeoleka, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk
http://arxiv.org/abs/2109.14770v1
• [cond-mat.mtrl-sci]An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics
Matthew Olszta, Derek Hopkins, Kevin R. Fiedler, Marjolein Oostrom, Sarah Akers, Steven R. Spurgeon
http://arxiv.org/abs/2109.14772v1
• [cs.AI]Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Pack Kaelbling, Shirin Sohrabi, Michael Katz
http://arxiv.org/abs/2109.14830v1
• [cs.AI]Reinforcement Learning with Information-Theoretic Actuation
Elliot Catt, Marcus Hutter, Joel Veness
http://arxiv.org/abs/2109.15147v1
• [cs.AI]Scalable Online Planning via Reinforcement Learning Fine-Tuning
Arnaud Fickinger, Hengyuan Hu, Brandon Amos, Stuart Russell, Noam Brown
http://arxiv.org/abs/2109.15316v1
• [cs.AI]Subdimensional Expansion Using Attention-Based Learning For Multi-Agent Path Finding
Lakshay Virmani, Zhongqiang Ren, Sivakumar Rathinam, Howie Choset
http://arxiv.org/abs/2109.14695v1
• [cs.AI]The MatrixX Solver For Argumentation Frameworks
Maximilian Heinrich
http://arxiv.org/abs/2109.14732v1
• [cs.AI]Width-Based Planning and Active Learning for Atari
Benjamin Ayton, Masataro Asai
http://arxiv.org/abs/2109.15310v1
• [cs.CL]A Review of Text Style Transfer using Deep Learning
Martina Toshevska, Sonja Gievska
http://arxiv.org/abs/2109.15144v1
• [cs.CL]A surprisal—duration trade-off across and within the world’s languages
Tiago Pimentel, Clara Meister, Elizabeth Salesky, Simone Teufel, Damián Blasi, Ryan Cotterell
http://arxiv.org/abs/2109.15000v1
• [cs.CL]BERT got a Date: Introducing Transformers to Temporal Tagging
Satya Almasian, Dennis Aumiller, Michael Gertz
http://arxiv.org/abs/2109.14927v1
• [cs.CL]BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, Peter Clark
http://arxiv.org/abs/2109.14723v1
• [cs.CL]COVID-19 Fake News Detection Using Bidirectiona lEncoder Representations from Transformers Based Models
Yuxiang Wang, Yongheng Zhang, Xuebo Li, Xinyao Yu
http://arxiv.org/abs/2109.14816v1
• [cs.CL]Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model
Tommaso Macrì, Freya Murphy, Yunfan Zou, Yves Zumbach
http://arxiv.org/abs/2109.14692v1
• [cs.CL]Compositional generalization in semantic parsing with pretrained transformers
A. Emin Orhan
http://arxiv.org/abs/2109.15101v1
• [cs.CL]CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Minwoo Lee, Seungpil Won, Juae Kim, Hwanhee Lee, Cheoneum Park, Kyomin Jung
http://arxiv.org/abs/2109.15107v1
• [cs.CL]DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features
Lefteris Loukas, Konstantinos Bougiatiotis, Manos Fergadiotis, Dimitris Mavroeidis, Elias Zavitsanos
http://arxiv.org/abs/2109.14906v1
• [cs.CL]Focused Contrastive Training for Test-based Constituency Analysis
Benjamin Roth, Erion Çano
http://arxiv.org/abs/2109.15159v1
• [cs.CL]Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks
Yichen Jiang, Mohit Bansal
http://arxiv.org/abs/2109.15256v1
• [cs.CL]Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
Milad Alshomary, Timon Gurke, Shahbaz Syed, Philipp Heinrich, Maximilian Spliethöver, Philipp Cimiano, Martin Potthast, Henning Wachsmuth
http://arxiv.org/abs/2109.15086v1
• [cs.CL]MatSciBERT: A Materials Domain Language Model for Text Mining and Information Extraction
Tanishq Gupta, Mohd Zaki, N. M. Anoop Krishnan, Mausam
http://arxiv.org/abs/2109.15290v1
• [cs.CL]Measuring Sentence-Level and Aspect-Level (Un)certainty in Science Communications
Jiaxin Pei, David Jurgens
http://arxiv.org/abs/2109.14776v1
• [cs.CL]Multi-Modal Sarcasm Detection Based on Contrastive Attention Mechanism
Xiaoqiang Zhang, Ying Chen, Guangyuan Li
http://arxiv.org/abs/2109.15153v1
• [cs.CL]Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai, Yi Zhang
http://arxiv.org/abs/2109.14739v1
• [cs.CL]Multi-granular Legal Topic Classification on Greek Legislation
Christos Papaloukas, Ilias Chalkidis, Konstantinos Athinaios, Despina-Athanasia Pantazi, Manolis Koubarakis
http://arxiv.org/abs/2109.15298v1
• [cs.CL]Multilingual AMR Parsing with Noisy Knowledge Distillation
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam
http://arxiv.org/abs/2109.15196v1
• [cs.CL]Phonetic Word Embeddings
Rahul Sharma, Kunal Dhawan, Balakrishna Pailla
http://arxiv.org/abs/2109.14796v1
• [cs.CL]Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach
Moniba Keymanesh, Micha Elsner, Srinivasan Parthasarathy
http://arxiv.org/abs/2109.14638v1
• [cs.CL]Prose2Poem: The blessing of Transformer-based Language Models in translating Prose to Persian Poetry
Reza Khanmohammadi, Mitra Sadat Mirshafiee, Yazdan Rezaee Jouryabi, Seyed Abolghasem Mirroshandel
http://arxiv.org/abs/2109.14934v1
• [cs.CL]SUper Team at SemEval-2016 Task 3: Building a feature-rich system for community question answering
Tsvetomila Mihaylova, Pepa Gencheva, Martin Boyanov, Ivana Yovcheva, Todor Mihaylov, Momchil Hardalov, Yasen Kiprov, Daniel Balchev, Ivan Koychev, Preslav Nakov, Ivelina Nikolova, Galia Angelova
http://arxiv.org/abs/2109.15120v1
• [cs.CL]Semi-Supervised Text Classification via Self-Pretraining
Payam Karisani, Negin Karisani
http://arxiv.org/abs/2109.15300v1
• [cs.CL]Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
Hadeel Saadany, Hadeel Saadany, Emad Mohamed, Ashraf Tantavy
http://arxiv.org/abs/2109.14895v1
• [cs.CL]SlovakBERT: Slovak Masked Language Model
Matúš Pikuliak, Štefan Grivalský, Martin Konôpka, Miroslav Blšták, Martin Tamajka, Viktor Bachratý, Marián Šimko, Pavol Balážik, Michal Trnka, Filip Uhlárik
http://arxiv.org/abs/2109.15254v1
• [cs.CL]Syntactic Persistence in Language Models: Priming as a Window into Abstract Language Representations
Arabella Sinclair, Jaap Jumelet, Willem Zuidema, Raquel Fernández
http://arxiv.org/abs/2109.14989v1
• [cs.CL]Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire
Miriam Stern
http://arxiv.org/abs/2109.14788v1
• [cs.CL]Towards Efficient Post-training Quantization of Pre-trained Language Models
Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
http://arxiv.org/abs/2109.15082v1
• [cs.CR]A formal model for ledger management systems based on contracts and temporal logic
Paolo Bottoni, Anna Labella, Remo Pareschi
http://arxiv.org/abs/2109.15212v1
• [cs.CR]First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data
Masataka Tasumi, Kazuki Iwahana, Naoto Yanai, Katsunari Shishido, Toshiya Shimizu, Yuji Higuchi, Ikuya Morikawa, Jun Yajima
http://arxiv.org/abs/2109.14857v1
• [cs.CR]Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation
Manjushree B. Aithal, Xiaohua Li
http://arxiv.org/abs/2109.15160v1
• [cs.CV]3D Pose Transfer with Correspondence Learning and Mesh Refinement
Chaoyue Song, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin
http://arxiv.org/abs/2109.15025v1
• [cs.CV]A Technical Report for ICCV 2021 VIPriors Re-identification Challenge
Cen Liu, Yunbo Peng, Yue Lin
http://arxiv.org/abs/2109.15164v1
• [cs.CV]Adversarial Semantic Contour for Object Detection
Yichi Zhang, Zijian Zhu, Xiao Yang, Jun Zhu
http://arxiv.org/abs/2109.15009v1
• [cs.CV]AffectGAN: Affect-Based Generative Art Driven by Semantics
Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis
http://arxiv.org/abs/2109.14845v1
• [cs.CV]Augmented reality navigation system for visual prosthesis
Melani Sanchez-Garcia, Alejandro Perez-Yus, Ruben Martinez-Cantin, Jose J. Guerrero
http://arxiv.org/abs/2109.14957v1
• [cs.CV]CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Xiao Wang, Jingen Liu, Tao Mei, Jiebo Luo
http://arxiv.org/abs/2109.15170v1
• [cs.CV]Convolutional Neural Network Compression through Generalized Kronecker Product Decomposition
Marawan Gamal Abdel Hameed, Marzieh S. Tahaei, Ali Mosleh, Vahid Partovi Nia
http://arxiv.org/abs/2109.14710v1
• [cs.CV]CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari, Yi Zhu, Peter Gehler, Thomas Brox
http://arxiv.org/abs/2109.14910v1
• [cs.CV]Detailed Region-Adaptive Normalization for Heavy Makeup Transfer
Yueming Lyu, Peibin Chen, Jingna Sun, Xu Wang, Jing Dong, Tieniu Tan
http://arxiv.org/abs/2109.14525v2
• [cs.CV]Egocentric Hand-object Interaction Detection and Application
Yao Lu, Walterio W. Mayol-Cuevas
http://arxiv.org/abs/2109.14734v1
• [cs.CV]Fake It Till You Make It: Face analysis in the wild using synthetic data alone
Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Sebastian Dziadzio, Matthew Johnson, Virginia Estellers, Thomas J. Cashman, Jamie Shotton
http://arxiv.org/abs/2109.15102v1
• [cs.CV]FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean
Kakani Katija, Eric Orenstein, Brian Schlining, Lonny Lundsten, Kevin Barnard, Giovanna Sainz, Oceane Boulais, Benjamin Woodward, Katy Croff Bell
http://arxiv.org/abs/2109.14646v1
• [cs.CV]Forming a sparse representation for visual place recognition using a neurorobotic approach
Sylvain Colomer, Nicolas Cuperlier, Guillaume Bresson, Olivier Romain
http://arxiv.org/abs/2109.14916v1
• [cs.CV]GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang
http://arxiv.org/abs/2109.14813v1
• [cs.CV]HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning
Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin
http://arxiv.org/abs/2109.14863v1
• [cs.CV]HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning
Shiming Chen, Guo-Sen Xie, Qinmu Peng, Yang Liu, Baigui Sun, Hao Li, Xinge You, Ling Shao
http://arxiv.org/abs/2109.15163v1
• [cs.CV]Identity-Disentangled Neural Deformation Model for Dynamic Meshes
Binbin Xu, Lingni Ma, Yuting Ye, Tanner Schmidt, Christopher D. Twigg, Steven Lovegrove
http://arxiv.org/abs/2109.15299v1
• [cs.CV]Improvising the Learning of Neural Networks on Hyperspherical Manifold
Lalith Bharadwaj Baru, Sai Vardhan Kanumolu, Akshay Patel Shilhora
http://arxiv.org/abs/2109.14746v1
• [cs.CV]IntentVizor: Towards Generic Query Guided Interactive Video Summarization Using Slow-Fast Graph Convolutional Networks
Guande Wu, Jianzhe Lin, Claudio T. Silva
http://arxiv.org/abs/2109.14834v1
• [cs.CV]LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network
Nitin Balachandran, Jun-Cheng Chen, Rama Chellappa
http://arxiv.org/abs/2109.14690v1
• [cs.CV]Language-Aligned Waypoint (LAW) Supervision for Vision-and-Language Navigation in Continuous Environments
Sonia Raychaudhuri, Saim Wani, Shivansh Patel, Unnat Jain, Angel X. Chang
http://arxiv.org/abs/2109.15207v1
• [cs.CV]Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging
Shuangrui Ding, Maomao Li, Tianyu Yang, Rui Qian, Haohang Xu, Qingyi Chen, Jue Wang
http://arxiv.org/abs/2109.15130v1
• [cs.CV]Moving Object Detection for Event-based vision using Graph Spectral Clustering
Anindya Mondal, Shashant R, Jhony H. Giraldo, Thierry Bouwmans, Ananda S. Chowdhury
http://arxiv.org/abs/2109.14979v1
• [cs.CV]Real-Time Tactile Grasp Force Sensing Using Fingernail Imaging via Deep Neural Networks
Navid Fallahinia, Stephen Mascaro
http://arxiv.org/abs/2109.15231v1
• [cs.CV]Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach
Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou
http://arxiv.org/abs/2109.14982v1
• [cs.CV]Riedones3D: a celtic coin dataset for registration and fine-grained clustering
Sofiane Horache, Jean-Emmanuel Deschaud, François Goulette, Katherine Gruel, Thierry Lejars, Olivier Masson
http://arxiv.org/abs/2109.15033v1
• [cs.CV]Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
Grzegorz Chlebus, Andrea Schenk, Horst K. Hahn, Bram van Ginneken, Hans Meine
http://arxiv.org/abs/2109.14879v1
• [cs.CV]Segmentation of Roads in Satellite Images using specially modified U-Net CNNs
Jonas Bokstaller, Yihang She, Zhehan Fu, Tommaso Macrì
http://arxiv.org/abs/2109.14671v1
• [cs.CV]Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA)
Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
http://arxiv.org/abs/2109.15222v1
• [cs.CV]Semantic Dense Reconstruction with Consistent Scene Segments
Yingcai Wan, Yanyan Li, Yingxuan You, Cheng Guo, Lijin Fang, Federico Tombari
http://arxiv.org/abs/2109.14821v1
• [cs.CV]Sensor-Guided Optical Flow
Matteo Poggi, Filippo Aleotti, Stefano Mattoccia
http://arxiv.org/abs/2109.15321v1
• [cs.CV]The Object at Hand: Automated Editing for Mixed Reality Video Guidance from Hand-Object Interactions
Yao Lu, Walterio W. Mayol-Cuevas
http://arxiv.org/abs/2109.14744v1
• [cs.CV]Transferability Estimation for Semantic Segmentation Task
Yang Tan, Yang Li, Shao-Lun Huang
http://arxiv.org/abs/2109.15242v1
• [cs.CV]TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan, Changil Kim, Christian Richardt, James Tompkin, Matthew O’Toole
http://arxiv.org/abs/2109.15271v1
• [cs.CV]USIS: Unsupervised Semantic Image Synthesis
George Eskandar, Mohamed Abdelsamad, Karim Armanious, Bin Yang
http://arxiv.org/abs/2109.14715v1
• [cs.CV]Uncertainty-aware Mean Teacher for Source-free Unsupervised Domain Adaptive 3D Object Detection
Deepti Hegde, Vishwanath Sindagi, Velat Kilic, A. Brinton Cooper, Mark Foster, Vishal Patel
http://arxiv.org/abs/2109.14651v1
• [cs.CV]Understanding Egocentric Hand-Object Interactions from Hand Pose Estimation
Yao Lu, Walterio W. Mayol-Cuevas
http://arxiv.org/abs/2109.14657v1
• [cs.CV]Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation
Borna Bešić, Nikhil Gosala, Daniele Cattaneo, Abhinav Valada
http://arxiv.org/abs/2109.15286v1
• [cs.CV]Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen
http://arxiv.org/abs/2109.15317v1
• [cs.CV]You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors
Zijian Zhu, Hang Su, Chang Liu, Wenzhao Xiang, Shibao Zheng
http://arxiv.org/abs/2109.15177v1
• [cs.CV]iShape: A First Step Towards Irregular Shape Instance Segmentation
Lei Yang, Yan Zi Wei, Yisheng HE, Wei Sun, Zhenhang Huang, Haibin Huang, Haoqiang Fan
http://arxiv.org/abs/2109.15068v1
• [cs.CY]Game and Simulation Design for Studying Pedestrian-Automated Vehicle Interactions
Georgios Pappas, Joshua E. Siegel, Jacob Rutkowski, Andrea Schaaf
http://arxiv.org/abs/2109.15205v1
• [cs.CY]Targeted Ads and/as Racial Discrimination: Exploring Trends in New York City Ads for College Scholarships
Ho-Chun Herbert Chang, Matt Bui, Charlton McIlwain
http://arxiv.org/abs/2109.15294v1
• [cs.DB]A Friend Recommendation System using Semantic Based KNN Algorithm
Srikantaiah K C, Salony Mewara, Sneha Goyal, Subhiksha S
http://arxiv.org/abs/2109.14970v1
• [cs.DC]Accelerating Fully Connected Neural Network on Optical Network-on-Chip (ONoC)
Fei Dai, Yawen Chen, Haibo Zhang, Zhiyi Huang
http://arxiv.org/abs/2109.14878v1
• [cs.DC]High-Availability Clusters A Taxonomy, Review, and Future Directions
Premathas Somasekaram, Radu Calinescu, Rajkumar Buyya
http://arxiv.org/abs/2109.15139v1
• [cs.DS]Submodular Optimization Beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising
Shaojie Tang, Jing Yuan
http://arxiv.org/abs/2109.15180v1
• [cs.GT]Matching Markets
Andrew Yang, Bruce Changlong Xu, Ivan Villa-Renteria
http://arxiv.org/abs/2109.14850v1
• [cs.GT]Robust Allocations with Diversity Constraints
Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
http://arxiv.org/abs/2109.15015v1
• [cs.HC]Collaborative Storytelling with Human Actors and AI Narrators
Boyd Branch, Piotr Mirowski, Kory W. Mathewson
http://arxiv.org/abs/2109.14728v1
• [cs.HC]Mac Users Do It Differently: the Role of Operating System and Individual Differences in File Management
Jesse David Dinneen, Ilja Frissen
http://arxiv.org/abs/2109.15272v1
• [cs.HC]The Explanatory Gap in Algorithmic News Curation
Hendrik Heuer
http://arxiv.org/abs/2109.15224v1
• [cs.IR]Born Again Neural Rankers
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
http://arxiv.org/abs/2109.15285v1
• [cs.IR]Library of Congress Subject Heading (LCSH) Browsing and Natural Language Searching
Charles-Antoine Julien, Banafsheh Asadi, Jesse David Dinneen, Fei Shu
http://arxiv.org/abs/2109.15276v1
• [cs.IR]Towards Understanding Trends Manipulation in Pakistan Twitter
Soufia Kausar, Bilal Tahir, Muhammad Amir Mehmood
http://arxiv.org/abs/2109.14872v1
• [cs.IR]USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence
Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen
http://arxiv.org/abs/2109.15012v1
• [cs.IT]Brand Attitude in Social Networks: The Role of eWoM
Azita Pourkabirian, Melika Habibian, Azadeh Pourkabirian
http://arxiv.org/abs/2109.15315v1
• [cs.IT]Capacity Enhancement for Reconfigurable Intelligent Surface-Aided Wireless Network: from Regular Array to Irregular Array
Ruochen Su, Linglong Dai, Jingbo Tan, Mo Hao, Richard MacKenzie
http://arxiv.org/abs/2109.14964v1
• [cs.IT]Efficient Decoding of Folded Linearized Reed-Solomon Codes in the Sum-Rank Metric
Felicitas Hörmann, Hannes Bartz
http://arxiv.org/abs/2109.14943v1
• [cs.IT]Fundamental Rate-Memory Tradeoff for Coded Caching in Presence of User Inactivity
Jialing Liao, Olav Tirkkonen
http://arxiv.org/abs/2109.14680v1
• [cs.IT]Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels
Yu Zhang, Ahmed Alkhateeb
http://arxiv.org/abs/2109.14909v1
• [cs.IT]Low-Complexity Probabilistic Shaping for Coded Modulation
Vincent Corlay, Nicolas Gresset
http://arxiv.org/abs/2109.15135v1
• [cs.IT]On the Kullback-Leibler divergence between discrete normal distributions
Frank Nielsen
http://arxiv.org/abs/2109.14920v1
• [cs.IT]Stabilization Techniques for Iterative Algorithms in Compressed Sensing
Carmen Sippel, Robert F. H. Fischer
http://arxiv.org/abs/2109.14917v1
• [cs.LG]A Generalized Hierarchical Nonnegative Tensor Decomposition
Joshua Vendrow, Jamie Haddock, Deanna Needell
http://arxiv.org/abs/2109.14820v1
• [cs.LG]A Privacy-preserving Distributed Training Framework for Cooperative Multi-agent Deep Reinforcement Learning
Yimin Shi
http://arxiv.org/abs/2109.14998v1
• [cs.LG]A Study of Feature Selection and Extraction Algorithms for Cancer Subtype Prediction
Vaibhav Sinha, Siladitya Dash, Nazma Naskar, Sk Md Mosaddek Hossain
http://arxiv.org/abs/2109.14648v1
• [cs.LG]A system on chip for melanoma detection using FPGA-based SVM classifier
Shereen Afifi, Hamid GholamHosseini, Roopak Sinha
http://arxiv.org/abs/2109.14840v1
• [cs.LG]A useful criterion on studying consistent estimation in community detection
Huan Qing
http://arxiv.org/abs/2109.14950v1
• [cs.LG]Active Refinement for Multi-Label Learning: A Pseudo-Label Approach
Cheng-Yu Hsieh, Wei-I Lin, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama
http://arxiv.org/abs/2109.14676v1
• [cs.LG]Adapting Bandit Algorithms for Settings with Sequentially Available Arms
Marco Gabrielli, Francesco Trovò, Manuela Antonelli
http://arxiv.org/abs/2109.15228v1
• [cs.LG]An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness
Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, Reginald E. Bryant
http://arxiv.org/abs/2109.14653v1
• [cs.LG]Batched Bandits with Crowd Externalities
Romain Laroche, Othmane Safsafi, Raphael Feraud, Nicolas Broutin
http://arxiv.org/abs/2109.14733v1
• [cs.LG]Bitcoin Transaction Strategy Construction Based on Deep Reinforcement Learning
Fengrui Liu, Yang Li, Baitong Li, Jiaxin Li, Huiyang Xie
http://arxiv.org/abs/2109.14789v1
• [cs.LG]BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining
Weizhe Hua, Yichi Zhang, Chuan Guo, Zhiru Zhang, G. Edward Suh
http://arxiv.org/abs/2109.14707v1
• [cs.LG]CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning
Garrett Wilson, Janardhan Rao Doppa, Diane J. Cook
http://arxiv.org/abs/2109.14778v1
• [cs.LG]Coding for Straggler Mitigation in Federated Learning
Siddhartha Kumar, Reent Schlegel, Eirik Rosnes, Alexandre Graell i Amat
http://arxiv.org/abs/2109.15226v1
• [cs.LG]Coordinated Reinforcement Learning for Optimizing Mobile Networks
Maxime Bouton, Hasan Farooq, Julien Forgeat, Shruti Bothe, Meral Shirazipour, Per Karlsson
http://arxiv.org/abs/2109.15175v1
• [cs.LG]DAAS: Differentiable Architecture and Augmentation Policy Search
Xiaoxing Wang, Xiangxiang Chu, Junchi Yan, Xiaokang Yang
http://arxiv.org/abs/2109.15273v1
• [cs.LG]Data Sharing and Compression for Cooperative Networked Control
Jiangnan Cheng, Marco Pavone, Sachin Katti, Sandeep Chinchali, Ao Tang
http://arxiv.org/abs/2109.14675v1
• [cs.LG]Deep Embedded K-Means Clustering
Wengang Guo, Kaiyan Lin, Wei Ye
http://arxiv.org/abs/2109.15149v1
• [cs.LG]Deep Neural Compression Via Concurrent Pruning and Self-Distillation
James O’ Neill, Sourav Dutta, Haytham Assem
http://arxiv.org/abs/2109.15014v1
• [cs.LG]Deep neural networks with controlled variable selection for the identification of putative causal genetic variants
Peyman H. Kassani, Fred Lu, Yann Le Guen, Zihuai He
http://arxiv.org/abs/2109.14719v1
• [cs.LG]Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates
Romain Laroche, Remi Tachet
http://arxiv.org/abs/2109.14727v1
• [cs.LG]Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
Turker Ince, Junaid Malik, Ozer Can Devecioglu, Serkan Kiranyaz, Onur Avci, Levent Eren, Moncef Gabbouj
http://arxiv.org/abs/2109.14873v1
• [cs.LG]Explanation-Aware Experience Replay in Rule-Dense Environments
Francesco Sovrano, Alex Raymond, Amanda Prorok
http://arxiv.org/abs/2109.14711v1
• [cs.LG]Federated Dropout — A Simple Approach for Enabling Federated Learning on Resource Constrained Devices
Dingzhu Wen, Ki-Jun Jeon, Kaibin Huang
http://arxiv.org/abs/2109.15258v1
• [cs.LG]Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation
Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang
http://arxiv.org/abs/2109.14611v1
• [cs.LG]From Zero-Shot Machine Learning to Zero-Day Attack Detection
Mohanad Sarhan, Siamak Layeghy, Marcus Gallagher, Marius Portmann
http://arxiv.org/abs/2109.14868v1
• [cs.LG]Genealogical Population-Based Training for Hyperparameter Optimization
Scardigli Antoine, Fournier Paul, Vilucchio Matteo, Naccache David
http://arxiv.org/abs/2109.14925v1
• [cs.LG]How Neural Processes Improve Graph Link Prediction
Huidong Liang, Junbin Gao
http://arxiv.org/abs/2109.14894v1
• [cs.LG]Impact of Channel Variation on One-Class Learning for Spoof Detection
Rohit Arora, Aanchan Mohan, Saket Anand
http://arxiv.org/abs/2109.14900v1
• [cs.LG]Introducing the DOME Activation Functions
Mohamed E. Hussein, Wael AbdAlmageed
http://arxiv.org/abs/2109.14798v1
• [cs.LG]LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
Zhao-Yu Zhang, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
http://arxiv.org/abs/2109.14844v1
• [cs.LG]Latent Network Embedding via Adversarial Auto-encoders
Minglong Lei, Yong Shi, Lingfeng Niu
http://arxiv.org/abs/2109.15257v1
• [cs.LG]Mitigation of Adversarial Policy Imitation via Constrained Randomization of Policy (CRoP)
Nancirose Piazza, Vahid Behzadan
http://arxiv.org/abs/2109.14678v1
• [cs.LG]Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting
Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
http://arxiv.org/abs/2109.15239v1
• [cs.LG]Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation
Karina Zadorozhny, Patrick Thoral, Paul Elbers, Giovanni Cinà
http://arxiv.org/abs/2109.14885v1
• [cs.LG]Physical Gradients for Deep Learning
Philipp Holl, Vladlen Koltun, Nils Thuerey
http://arxiv.org/abs/2109.15048v1
• [cs.LG]Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data
Mahnoosh Sadeghi, Anthony D McDonald, Farzan Sasangohar
http://arxiv.org/abs/2109.14743v1
• [cs.LG]Process discovery on deviant traces and other stranger things
Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris
http://arxiv.org/abs/2109.14883v1
• [cs.LG]Prune Your Model Before Distill It
Jinhyuk Park, Albert No
http://arxiv.org/abs/2109.14960v1
• [cs.LG]Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems
Subhabrata Dutta, Tanya Gautam, Soumen Chakrabarti, Tanmoy Chakraborty
http://arxiv.org/abs/2109.15142v1
• [cs.LG]Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space
Sandesh Ghimire, Aria Masoomi, Jennifer Dy
http://arxiv.org/abs/2109.14688v1
• [cs.LG]SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss
Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill
http://arxiv.org/abs/2109.15044v1
• [cs.LG]Scalable Rule-Based Representation Learning for Interpretable Classification
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
http://arxiv.org/abs/2109.15103v1
• [cs.LG]Semi-tensor Product-based TensorDecomposition for Neural Network Compression
Hengling Zhao, Yipeng Liu, Xiaolin Huang, Ce Zhu
http://arxiv.org/abs/2109.15200v1
• [cs.LG]Sequential Estimation under Multiple Resources: a Bandit Point of View
Alireza Masoumian, Shayan Kiyani, Mohammad Hossein Yassaee
http://arxiv.org/abs/2109.14703v1
• [cs.LG]Surveillance Evasion Through Bayesian Reinforcement Learning
Dongping Qi, David Bindel, Alexander Vladimirsky
http://arxiv.org/abs/2109.14811v1
• [cs.LG]Tiny-CRNN: Streaming Wakeword Detection In A Low Footprint Setting
Mohammad Omar Khursheed, Christin Jose, Rajath Kumar, Gengshen Fu, Brian Kulis, Santosh Kumar Cheekatmalla
http://arxiv.org/abs/2109.14725v1
• [cs.LG]Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder
Zichuan Chen, Peng Liu
http://arxiv.org/abs/2109.14795v1
• [cs.LG]Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao, Kristian Muri Knausgård, Angela Helen Martin, Marta Moyano, Rebekah A. Oomen, Jeppe Have Rasmussen, Tonje Knutsen Sørdalen, Susanna Huneide Thorbjørnsen
http://arxiv.org/abs/2109.14737v1
• [cs.LG]Vision-Aided Beam Tracking: Explore the Proper Use of Camera Images with Deep Learning
Yu Tian, Chenwei Wang
http://arxiv.org/abs/2109.14686v1
• [cs.LG]XPROAX-Local explanations for text classification with progressive neighborhood approximation
Yi Cai, Arthur Zimek, Eirini Ntoutsi
http://arxiv.org/abs/2109.15004v1
• [cs.MA]Decentralized Role Assignment in Multi-Agent Teams via Empirical Game-Theoretic Analysis
Fengjun Yang, Negar Mehr, Mac Schwager
http://arxiv.org/abs/2109.14755v1
• [cs.NE]Biologically Plausible Training Mechanisms for Self-Supervised Learning in Deep Networks
Mufeng Tang, Yibo Yang, Yali Amit
http://arxiv.org/abs/2109.15089v1
• [cs.NI]A Social Cognitive Heuristic for Adaptive Data Dissemination in Mobile Opportunistic Networks
Matteo Mordacchini, Andrea Passarella, Marco Conti
http://arxiv.org/abs/2109.14958v1
• [cs.NI]Crowdsourcing through Cognitive Opportunistic Networks
M. Mordacchini, A. Passarella, M. Conti, S. M. Allen, M. J. Chorley, G. B. Colombo, V. Tanasescu, R. M. Whitaker
http://arxiv.org/abs/2109.14946v1
• [cs.NI]Stateful Function-as-a-Service at the Edge
Carlo Puliafito, Claudio Cicconetti, Marco Conti, Enzo Mingozzi, Andrea Passarella
http://arxiv.org/abs/2109.15040v1
• [cs.NI]Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things
Yoga Suhas Kuruba Manjunath, Sihao Zhao, Xiao-Ping Zhang
http://arxiv.org/abs/2109.14696v1
• [cs.RO]A Generalized Kalman Filter Augmented Deep-Learning based Approach for Autonomous Landing in MAVs
Pranay Mathur, Yash Jangir, Neena Goveas
http://arxiv.org/abs/2109.15114v1
• [cs.RO]Coordination of two robotic manipulators for object retrieval in clutter
Jeeho Ahn, ChangHwan Kim, Changjoo Nam
http://arxiv.org/abs/2109.15220v1
• [cs.RO]Coverage Control in Multi-Robot Systems via Graph Neural Networks
Walker Gosrich, Siddharth Mayya, Rebecca Li, James Paulos, Mark Yim, Alejandro Ribeiro, Vijay Kumar
http://arxiv.org/abs/2109.15278v1
• [cs.RO]D{é}composition et analyse de trac{é}s EMG pour aider au diagnostic des maladies neuromusculaires
Arthur Bureau, Jean-Maxime Le Carpentier, Eric Le Carpentier, Yannick Aoustin, Yann Péréon
http://arxiv.org/abs/2109.14922v1
• [cs.RO]Fly Out The Window: Exploiting Discrete-Time Flatness for Fast Vision-Based Multirotor Flight
Melissa Greeff, Siqi Zhou, Angela P. Schoellig
http://arxiv.org/abs/2109.15174v1
• [cs.RO]Grounding Predicates through Actions
Toki Migimatsu, Jeannette Bohg
http://arxiv.org/abs/2109.14718v1
• [cs.RO]Guaranteed Rejection-free Sampling Method Using Past Behaviours for Motion Planning of Autonomous Systems
Thomas T. Enevoldsen, Roberto Galeazzi
http://arxiv.org/abs/2109.14687v1
• [cs.RO]Learning Material Parameters and Hydrodynamics of Soft Robotic Fish via Differentiable Simulation
John Z. Zhang, Yu Zhang, Pingchuan Ma, Elvis Nava, Tao Du, Philip Arm, Wojciech Matusik, Robert K. Katzschmann
http://arxiv.org/abs/2109.14855v1
• [cs.RO]Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming
Tobias Kessler, Klemens Esterle, Alois Knoll
http://arxiv.org/abs/2109.15122v1
• [cs.RO]Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
Raphael Trumpp, Harald Bayerlein, David Gesbert
http://arxiv.org/abs/2109.15266v1
• [cs.RO]Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace
Jay Patrikar, Brady Moon, Jean Oh, Sebastian Scherer
http://arxiv.org/abs/2109.15158v1
• [cs.RO]Real Robot Challenge using Deep Reinforcement Learning
Robert McCarthy, Francisco Roldan Sanchez, Kevin McGuinness, Noel O’Connor, Stephen J. Redmond
http://arxiv.org/abs/2109.15233v1
• [cs.RO]Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
Ran Tian, Liting Sun, Andrea Bajcsy, Masayoshi Tomizuka, Anca D. Dragan
http://arxiv.org/abs/2109.14700v1
• [cs.RO]Terrain-Aware Foot Placement for Bipedal Locomotion Combining Model Predictive Control, Virtual Constraints, and the ALIP
Grant Gibson, Oluwami Dosunmu-Ogunbi, Yukai Gong, Jessy Grizzle
http://arxiv.org/abs/2109.14862v1
• [cs.RO]The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition
Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido de Croon
http://arxiv.org/abs/2109.14985v1
• [cs.RO]Uncertainty Estimation of Dense Optical-Flow for Robust Visual Navigation
Yonhon Ng, Hongdong Li, Jonghyuk Kim
http://arxiv.org/abs/2109.14828v1
• [cs.RO]Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Yunke Ao, Le Chen, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart
http://arxiv.org/abs/2109.14974v1
• [cs.SD]Adaptive Approach For Sparse Representations Using The Locally Competitive Algorithm For Audio
Soufiyan Bahadi, Jean Rouat, Éric Plourde
http://arxiv.org/abs/2109.14705v1
• [cs.SD]Assessing Algorithmic Biases for Musical Version Identification
Furkan Yesiler, Marius Miron, Joan Serrà, Emilia Gómez
http://arxiv.org/abs/2109.15188v1
• [cs.SD]Emergency Vehicles Audio Detection and Localization in AutonomousDriving
Hongyi Sun, Xinyi Liu, Kecheng Xu, Jinghao Miao, Qi Luo
http://arxiv.org/abs/2109.14797v1
• [cs.SD]Fine-tuning wav2vec2 for speaker recognition
Nik Vaessen, David A. van Leeuwen
http://arxiv.org/abs/2109.15053v1
• [cs.SE]Predicting Code Review Completion Time in Modern Code Review
Moataz Chouchen, Jefferson Olongo, Ali Ouni, Mohamed Wiem Mkaouer
http://arxiv.org/abs/2109.15141v1
• [cs.SI]NPS-AntiClone: Identity Cloning Detection based on Non-Privacy-Sensitive User Profile Data
Ahmed Alharbi, Hai Dong, Xun Yi, Prabath Abeysekara
http://arxiv.org/abs/2109.15179v1
• [cs.SI]Transfer Learning Based Multi-Objective Evolutionary Algorithm for Community Detection of Dynamic Complex Networks
Jungang Zou, Fan Lin, Beizhan Wang, Siyu Gao, Gaoshan Deng, Wenhua Zeng, Gil Alterovitz
http://arxiv.org/abs/2109.15136v1
• [econ.EM]Causal Matrix Completion
Anish Agarwal, Munther Dahleh, Devavrat Shah, Dennis Shen
http://arxiv.org/abs/2109.15154v1
• [eess.IV]A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images
Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vazquez, Carol A Flavell, Mostafa Rahimi Azghadi
http://arxiv.org/abs/2109.14919v1
• [eess.IV]A Prior Knowledge Based Tumor and Tumoral Subregion Segmentation Tool for Pediatric Brain Tumors
Silu Zhang, Angela Edwards, Shubo Wang, Zoltan Patay, Asim Bag, Matthew A. Scoggins
http://arxiv.org/abs/2109.14775v1
• [eess.IV]Automated airway segmentation by learning graphical structure
Yihua Yang
http://arxiv.org/abs/2109.14792v1
• [eess.IV]Automatic Estimation of Ulcerative Colitis Severity from Endoscopy Videos using Ordinal Multi-Instance Learning
Evan Schwab, Gabriela Oana Cula, Kristopher Standish, Stephen S. F. Yip, Aleksandar Stojmirovic, Louis Ghanem, Christel Chehoud
http://arxiv.org/abs/2109.14685v1
• [eess.IV]Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images
Haotian Wang, Aleksandar Vakanski, Changfa Shi, Min Xian
http://arxiv.org/abs/2109.15283v1
• [eess.IV]Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
Leonardo Crespi, Daniele Loiacono, Arturo Chiti
http://arxiv.org/abs/2109.14760v1
• [eess.IV]Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
Martin Wagner, Beat-Peter Müller-Stich, Anna Kisilenko, Duc Tran, Patrick Heger, Lars Mündermann, David M Lubotsky, Benjamin Müller, Tornike Davitashvili, Manuela Capek, Annika Reinke, Tong Yu, Armine Vardazaryan, Chinedu Innocent Nwoye, Nicolas Padoy, Xinyang Liu, Eung-Joo Lee, Constantin Disch, Hans Meine, Tong Xia, Fucang Jia, Satoshi Kondo, Wolfgang Reiter, Yueming Jin, Yonghao Long, Meirui Jiang, Qi Dou, Pheng Ann Heng, Isabell Twick, Kadir Kirtac, Enes Hosgor, Jon Lindström Bolmgren, Michael Stenzel, Björn von Siemens, Hannes G. Kenngott, Felix Nickel, Moritz von Frankenberg, Franziska Mathis-Ullrich, Lena Maier-Hein, Stefanie Speidel, Sebastian Bodenstedt
http://arxiv.org/abs/2109.14956v1
• [eess.IV]Deep Contextual Video Compression
Jiahao Li, Bin Li, Yan Lu
http://arxiv.org/abs/2109.15047v1
• [eess.IV]Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
Martin Huber, Sébastien Ourselin, Christos Bergeles, Tom Vercauteren
http://arxiv.org/abs/2109.15098v1
• [eess.IV]End-to-End Image Compression with Probabilistic Decoding
Haichuan Ma, Dong Liu, Cunhui Dong, Li Li, Feng Wu
http://arxiv.org/abs/2109.14837v1
• [eess.IV]MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation
Zheng Yuan, Andre Esteva, Ran Xu
http://arxiv.org/abs/2109.14754v1
• [eess.IV]Spark in the Dark: Evaluating Encoder-Decoder Pairs for COVID-19 CT’s Semantic Segmentation
Bruno A. Krinski, Daniel V. Ruiz, Eduardo Todt
http://arxiv.org/abs/2109.14818v1
• [eess.IV]Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images
Yuyu Guo, Lei Bi, Dongming Wei, Liyun Chen, Zhengbin Zhu, Dagan Feng, Ruiyan Zhang, Qian Wang, Jinman Kim
http://arxiv.org/abs/2109.14805v1
• [eess.IV]Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural
8ad
Networks
Andreas Wachter, Werner Nahm
http://arxiv.org/abs/2109.15063v1
• [eess.SP]Convolution-Free Waveform Transformers for Multi-Lead ECG Classification
Annamalai Natarajan, Gregory Boverman, Yale Chang, Corneliu Antonescu, Jonathan Rubin
http://arxiv.org/abs/2109.15129v1
• [math.NA]Learning the Markov Decision Process in the Sparse Gaussian Elimination
Yingshi Chen
http://arxiv.org/abs/2109.14929v1
• [math.NA]SCIMAT: Science and Mathematics Dataset
Neeraj Kollepara, Snehith Kumar Chatakonda, Pawan Kumar
http://arxiv.org/abs/2109.15005v1
• [math.OC]A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
Sihan Zeng, Thinh T. Doan, Justin Romberg
http://arxiv.org/abs/2109.14756v1
• [math.OC]Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization
Kaiwen Zhou, Anthony Man-Cho So, James Cheng
http://arxiv.org/abs/2109.15292v1
• [math.OC]On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems
Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
http://arxiv.org/abs/2109.15021v1
• [math.ST]An exact test for significance of clusters in binary data
James Mathews, Cameron Crowe, Rami Vanguri, Margaret Callahan, Travis Hollmann, Saad Nadeem
http://arxiv.org/abs/2109.13876v2
• [math.ST]Componentwise Equivariant Estimation of Order Restricted Location and Scale Parameters In Bivariate Models: A Unified Study
Naresh Garg, Neeraj Misra
http://arxiv.org/abs/2109.14997v1
• [math.ST]Two Sample Testing in High Dimension via Maximum Mean Discrepancy
Hanjia Gao, Xiaofeng Shao
http://arxiv.org/abs/2109.14913v1
• [physics.soc-ph]Spreading of fake news, competence, and learning: kinetic modeling and numerical approximation
Jonathan Franceschi, Lorenzo Pareschi
http://arxiv.org/abs/2109.14087v1
• [physics.soc-ph]The anatomy of social dynamics in escape rooms
Rebeka O. Szabo, Sandeep Chowdhary, David Deritei, Federico Battiston
http://arxiv.org/abs/2109.15146v1
• [q-bio.QM]Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction
Xinmeng Li, Li-ping Liu, Soha Hassoun
http://arxiv.org/abs/2109.14766v1
• [q-bio.QM]Stroke recovery phenotyping through network trajectory approaches and graph neural networks
Sanjukta Krishnagopal, Keith Lohse, Robynne Braun
http://arxiv.org/abs/2109.14659v1
• [q-fin.ST]Stock Index Prediction using Cointegration test and Quantile Loss
Jaeyoung Cheong, Heejoon Lee, Minjung Kang
http://arxiv.org/abs/2109.15045v1
• [quant-ph]Variational learning of quantum ground states on spiking neuromorphic hardware
Robert Klassert, Andreas Baumbach, Mihai A. Petrovici, Martin Gärtner
http://arxiv.org/abs/2109.15169v1
• [stat.AP]Non-parametric calibration of multiple related radiocarbon determinations and their calendar age summarisation
Timothy J Heaton
http://arxiv.org/abs/2109.15024v1
• [stat.AP]On simultaneous best linear unbiased prediction of future order statistics and associated properties
Narayanaswamy Balakrishnan, Ritwik Bhattacharya
http://arxiv.org/abs/2109.14859v1
• [stat.ME]A Fast Detection Method of Break Points in Effective Connectivity Networks
Peiliang Bai, Abolfazl Safikhani, George Michailidis
http://arxiv.org/abs/2109.14769v1
• [stat.ME]A Markov Decision Process for Response-Adaptive Randomization in Clinical Trials
David Merrell, Thevaa Chandereng, Yeonhee Park
http://arxiv.org/abs/2109.14642v1
• [stat.ME]A flexible and robust non-parametric test of exchangeability
Alan J. Aw, Jeffrey P. Spence, Yun S. Song
http://arxiv.org/abs/2109.15261v1
• [stat.ME]Adaptive Bayesian Sum of Trees Model for Covariate Dependent Spectral Analysis
Yakun Wang, Zeda Li, Scott A. Bruce
http://arxiv.org/abs/2109.14677v1
• [stat.ME]Bayesian Multi-Species N-Mixture Models for Unmarked Animal Communities
Niamh Mimnagh, Andrew Parnell, Estevao Prado, Rafael de Andrade Moral
http://arxiv.org/abs/2109.14966v1
• [stat.ME]Dynamic probabilistic predictable feature analysis for high dimensional temporal monitoring
Wei Fan, Qinqin Zhu, Shaojun Ren, Liang Zhang, Fengqi Si
http://arxiv.org/abs/2109.14666v1
• [stat.ME]Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality
Kevin P. Josey, Priyanka deSouza, Xiao Wu, Danielle Braun, Rachel Nethery
http://arxiv.org/abs/2109.15264v1
• [stat.ME]Multiple Change Point Detection in Reduced Rank High Dimensional Vector Autoregressive Models
Peiliang Bai, Abolfazl Safikhani, George Michailidis
http://arxiv.org/abs/2109.14783v1
• [stat.ME]Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Xiufan Yu, Danning Li, Lingzhou Xue, Runze Li
http://arxiv.org/abs/2109.15287v1
• [stat.ME]Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis
Bingyuan Liu, Qi Zhang, Lingzhou Xue, Peter X. K. Song, Jian Kang
http://arxiv.org/abs/2109.14856v1
• [stat.ME]Using neural networks to estimate parameters in spatial point process models
Ninna Vihrs
http://arxiv.org/abs/2109.15056v1
• [stat.ML]Adversarial Regression with Doubly Non-negative Weighting Matrices
Tam Le, Truyen Nguyen, Makoto Yamada, Jose Blanchet, Viet Anh Nguyen
http://arxiv.org/abs/2109.14875v1
• [stat.ML]Extracting stochastic dynamical systems with -stable Lévy noise from data
Yang Li, Yubin Lu, Shengyuan Xu, Jinqiao Duan
http://arxiv.org/abs/2109.14881v1
• [stat.ML]Kernel distance measures for time series, random fields and other structured data
Srinjoy Das, Hrushikesh Mhaskar, Alexander Cloninger
http://arxiv.org/abs/2109.14752v1
• [stat.ML]Towards Principled Causal Effect Estimation by Deep Identifiable Models
Pengzhou Wu, Kenji Fukumizu
http://arxiv.org/abs/2109.15062v1
• [stat.ML]Variational Marginal Particle Filters
Jinlin Lai, Daniel Sheldon, Justin Domke
http://arxiv.org/abs/2109.15134v1
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