cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.CC - 计算复杂度
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.DL - 数字图书馆
cs.DS - 数据结构与算法
cs.ET - 新兴技术
cs.GR - 计算机图形学
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.PF - 计算性能
cs.RO - 机器人学
cs.SD - 声音处理
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
math.AP - 偏微分方程分析
math.CO - 组合数学
math.DS - 动力系统
math.NA - 数值分析
math.OC - 优化与控制
math.PR - 概率
math.ST - 统计理论
physics.soc-ph - 物理学与社会
q-bio.PE - 人口与发展
quant-ph - 量子物理
stat.AP - 应用统计
stat.CO - 统计计算
stat.ME - 统计方法论
stat.ML - (统计)机器学习
• [cond-mat.mtrl-sci]Thermodynamics-based Artificial Neural Networks (TANN) for multiscale modeling of materials with inelastic microstructure
• [cs.AI]A Mathematical Walkthrough and Discussion of the Free Energy Principle
• [cs.AI]A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution
• [cs.AI]Aleatoric Description Logic for Probailistic Reasoning (Long Version)
• [cs.AI]Satisfiability and Containment of Recursive SHACL
• [cs.AI]Transport-based Counterfactual Models
• [cs.AI]Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor
• [cs.CC]Reachability Is NP-Complete Even for the Simplest Neural Networks
• [cs.CL]Folden:
-Fold Ensemble for Out-Of-Distribution Detection
• [cs.CL]A Sentiment Analysis Dataset for Trustworthiness Evaluation
• [cs.CL]AEDA: An Easier Data Augmentation Technique for Text Classification
• [cs.CL]ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding
• [cs.CL]Analyzing and Mitigating Interference in Neural Architecture Search
• [cs.CL]Automatic Text Evaluation through the Lens of Wasserstein Barycenters
• [cs.CL]Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
• [cs.CL]CSDS: A Fine-grained Chinese Dataset for Customer Service Dialogue Summarization
• [cs.CL]Code-switched inspired losses for generic spoken dialog representations
• [cs.CL]Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
• [cs.CL]Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation
• [cs.CL]Event Extraction as Natural Language Generation
• [cs.CL]Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
• [cs.CL]Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
• [cs.CL]Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation
• [cs.CL]Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
• [cs.CL]HELMHOLTZ: A Verifier for Tezos Smart Contracts Based on Refinement Types
• [cs.CL]HeadlineCause: A Dataset of News Headlines for Detecting Casualties
• [cs.CL]Interpretable Propaganda Detection in News Articles
• [cs.CL]Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
• [cs.CL]Knowledge Base Completion Meets Transfer Learning
• [cs.CL]LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation
• [cs.CL]Layer-wise Model Pruning based on Mutual Information
• [cs.CL]Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
• [cs.CL]Mischievous Nominal Constructions in Universal Dependencies
• [cs.CL]Mitigation of Diachronic Bias in Fake News Detection Dataset
• [cs.CL]Multiplex Graph Neural Network for Extractive Text Summarization
• [cs.CL]N15News: A New Dataset for Multimodal News Classification
• [cs.CL]NEREL: A Russian Dataset with Nested Named Entities and Relations
• [cs.CL]Neuron-level Interpretation of Deep NLP Models: A Survey
• [cs.CL]Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances
• [cs.CL]On the Multilingual Capabilities of Very Large-Scale English Language Models
• [cs.CL]Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels
• [cs.CL]QACE: Asking Questions to Evaluate an Image Caption
• [cs.CL]RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations
• [cs.CL]Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
• [cs.CL]Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
• [cs.CL]Selective Differential Privacy for Language Modeling
• [cs.CL]Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
• [cs.CL]Sentence Structure and Word Relationship Modeling for Emphasis Selection
• [cs.CL]Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning
• [cs.CL]Smoothing Dialogue States for Open Conv
f7e
ersational Machine Reading
• [cs.CL]Span Fine-tuning for Pre-trained Language Models
• [cs.CL]SummerTime: Text Summarization Toolkit for Non-experts
• [cs.CL]The effects of data size on Automated Essay Scoring engines
• [cs.CL]WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding
• [cs.CR]CHAINGE: A Blockchain Solution to Automate Payment Detail Updates to Subscription Services
• [cs.CR]Characterizing Malicious URL Campaigns
• [cs.CR]Feature Analysis for ML-based IIoT Intrusion Detection
• [cs.CR]ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation
• [cs.CR]Making Honey Files Sweeter: SentryFS — A Service-Oriented Smart Ransomware Solution
• [cs.CR]Power-Based Attacks on Spatial DNN Accelerators
• [cs.CR]Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts
• [cs.CV]3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
• [cs.CV]A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
• [cs.CV]A Multimodal Framework for Video Ads Understanding
• [cs.CV]AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data
• [cs.CV]AP-10K: A Benchmark for Animal Pose Estimation in the Wild
• [cs.CV]Airplane Detection Based on Mask Region Convolution Neural Network
• [cs.CV]Airplane Type Identification Based on Mask RCNN and Drone Images
• [cs.CV]Attentive Rotation Invariant Convolution for Point Cloud-based Large Scale Place Recognition
• [cs.CV]BioFors: A Large Biomedical Image Forensics Dataset
• [cs.CV]Calibrating Class Activation Maps for Long-Tailed Visual Recognition
• [cs.CV]Decentralized Autofocusing System with Hierarchical Agents
• [cs.CV]Deep 3D Mask Volume for View Synthesis of Dynamic Scenes
• [cs.CV]DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis
• [cs.CV]DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network
• [cs.CV]Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
• [cs.CV]Differentiable Convolution Search for Point Cloud Processing
• [cs.CV]Digging into Uncertainty in Self-supervised Multi-view Stereo
• [cs.CV]Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator
• [cs.CV]Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
• [cs.CV]Embedding Novel Views in a Single JPEG Image
• [cs.CV]Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
• [cs.CV]Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation
• [cs.CV]Exploring Multi-Tasking Learning in Document Attribute Classification
• [cs.CV]Exploring and Improving Mobile Level Vision Transformers
• [cs.CV]Flow-Guided Video Inpainting with Scene Templates
• [cs.CV]Font Completion and Manipulation by Cycling Between Multi-Modality Representations
• [cs.CV]From General to Specific: Informative Scene Graph Generation via Balance Adjustment
• [cs.CV]Goal-driven text descriptions for images
• [cs.CV]GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
• [cs.CV]High performing ensemble of convolutional neural networks for insect pest image detection
• [cs.CV]Hire-MLP: Vision MLP via Hierarchical Rearrangement
• [cs.CV]Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
• [cs.CV]LIGAR: Lightweight General-purpose Action Recognition
• [cs.CV]LUAI Challenge 2021 on Learning to Understand Aerial Images
• [cs.CV]Layout-to-Image Translation with Double Pooling Generative Adversarial Networks
• [cs.CV]Learning Inner-Group Relations on Point Clouds
• [cs.CV]Learning to Discover Reflection Symmetry via Polar Matching Convolution
• [cs.CV]Learning to Track Objects from Unlabeled Videos
• [cs.CV]MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection
• [cs.CV]MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
• [cs.CV]NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
• [cs.CV]Non-Parametric Neural Style Transfer
• [cs.CV]Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
• [cs.CV]On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering
• [cs.CV]Partial Domain Adaptation without Domain Alignment
• [cs.CV]Pseudo-mask Matters inWeakly-supervised Semantic Segmentation
• [cs.CV]SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation
• [cs.CV]Searching for Two-Stream Models in Multivariate Space for Video Recognition
• [cs.CV]SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
• [cs.CV]Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
• [cs.CV]Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration
• [cs.CV]StackGAN: Facial Image Generation Optimizations
• [cs.CV]Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
• [cs.CV]Threshold: Pruning Tool for Densely Connected Convolutional Networks
• [cs.CV]Tune It or Don’t Use It: Benchmarking Data-Efficient Image Classification
• [cs.CV]Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection
• [cs.CV]Unsupervised Monocular Depth Perception: Focusing on Moving Objects
• [cs.CV]Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures
• [cs.CV]What You Can Learn by Staring at a Blank Wall
• [cs.CV]X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
• [cs.CY]COVID-19 Datathon Based on Deidentified Governmental Data as an Approach for Solving Policy Challenges, Increasing Trust, and Building a Community: Case Study
• [cs.CY]City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling
• [cs.CY]Coding with Purpose: Learning AI in Rural California
• [cs.CY]Robustness Disparities in Commercial Face Detection
• [cs.CY]Tracing app technology: An ethical review in the COVID-19 era and directions for post-COVID-19
• [cs.CY]Why and How Governments Should Monitor AI Development
• [cs.DC]A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation
• [cs.DC]Attempt to Predict Failure Case Classification in a Failure Database by using Neural Network Models
• [cs.DC]AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms
• [cs.DC]Data-Oriented Language Implementation of Lattice-Boltzmann Method for Dense and Sparse Geometries
• [cs.DC]Harvesting Idle Resources in Serverless Computing via Reinforcement Learning
• [cs.DC]Outlier Detection in Smart Grid Communication
• [cs.DC]Towards Reference Architectures for Trustworthy Collaborative Cyber-Physical Systems: Reference Architectures as Boundary Objects
• [cs.DC]Towards formally analyzed Cyber-Physical Systems
• [cs.DL]Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research
• [cs.DS]Approximating Pandora’s Box with Correlations
• [cs.ET]Master memory function for delay-based reservoir computers with single-variable dynamics
• [cs.GR]DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI
• [cs.IR]Certifying One-Phase Technology-Assisted Reviews
• [cs.IR]TAR on Social Media: A Framework for Online Content Moderation
• [cs.IT]A Lightweight Machine Learning Assisted Power Optimization for Minimum Error in NOMA-CRS over Nakagami- channels
• [cs.IT]An axiomatic characterization of mutual information
• [cs.IT]Asymptotic Frame Theory for Analog Coding
• [cs.IT]Construction for both self-dual codes and LCD codes
• [cs.IT]Fast Decoding of Union-free Codes
• [cs.IT]High-Throughput VLSI Architecture for GRAND Markov Order
• [cs.IT]KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
• [cs.IT]Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation
• [cs.IT]Overcoming Data Availability Attacks in Blockchain Systems: LDPC Code Design for Coded Merkle Tree
• [cs.IT]Resource Allocation for Active IRS-Assisted Multiuser Communication Systems
• [cs.IT]Scalable Cell-Free Massive MIMO Systems: Impact of Hardware Impairments
• [cs.IT]Secure Block Source Coding with Sequential Encoding
• [cs.IT]Simultaneous Control Information and Power Transmission for Reconfigurable Intelligent Surfaces
• [cs.IT]Statistical Classification via Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds
• [cs.IT]Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform
• [cs.IT]Trims and Extensions of Quadratic APN Functions
• [cs.IT]Visible Rank and Codes with Locality
• [cs.LG]A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning
• [cs.LG]Adaptive perturbation adversarial training: based on reinforcement learning
• [cs.LG]Adversarial Stein Training for Graph Energy Models
• [cs.LG]An Interpretable Web-based Glioblastoma Multiforme Prognosis Prediction Tool using Random Forest Model
• [cs.LG]An Introduction to Variational Inference
• [cs.LG]Approximate Bayesian Optimisation for Neural Networks
• [cs.LG]Auto-Split: A General Framework of Collaborative Edge-Cloud AI
• [cs.LG]Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure
• [cs.LG]Communication-Computation Efficient Device-Edge Co-Inference via AutoML
• [cs.LG]Compact representations of convolutional neural networks via weight pruning and quantization
• [cs.LG]Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape
• [cs.LG]CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models
• [cs.LG]DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
• [cs.LG]DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
• [cs.LG]Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
• [cs.LG]Deep Reinforcement Learning at the Edge of the Statistical Precipice
• [cs.LG]Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding
• [cs.LG]Disrupting Adversarial Transferability in Deep Neural Networks
• [cs.LG]DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
• [cs.LG]Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee
• [cs.LG]FedKD: Communication Efficient Federated Learning via Knowledge Distillation
• [cs.LG]GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
• [cs.LG]Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks
• [cs.LG]Influence-based Reinforcement Learning for Intrinsically-motivated Agents
• [cs.LG]Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow
• [cs.LG]Investigating Vulnerabilities of Deep Neural Policies
• [cs.LG]Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
• [cs.LG]Lipschitz Continuity Guided Knowledge Distillation
• [cs.LG]Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones
• [cs.LG]Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models
• [cs.LG]Neural Network Gaussian Processes by Increasing Depth
• [cs.LG]Noisy Labels for Weakly Supervised Gamma Hadron Classification
• [cs.LG]Normalizing Field Flows: Solving forward and inverse stochastic differential equations using Physics-Informed flow model
• [cs.LG]Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms
• [cs.LG]Privacy-preserving Machine Learning for Medical Image Classification
• [cs.LG]Private Multi-Task Learning: Formulation and Applications to Federated Learning
• [cs.LG]Prototypes-Guided Memory Replay for Continual Learning
• [cs.LG]Representation Memorization for Fast Learning New Knowledge without Forgetting
• [cs.LG]SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts
• [cs.LG]Single Node Injection Attack against Graph Neural Networks
• [cs.LG]Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
• [cs.LG]TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
• [cs.LG]The missing link: Developing a safety case for perception components in automated driving
• [cs.LG]To tune or not to tune? An Approach for Recommending Important Hyperparameters
• [cs.LG]Uncertainty quantification for multiclass data description
• [cs.LG]Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models
• [cs.LG]Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
• [cs.MA]Multi-Agent Simulation for AI Behaviour Discovery in Operations Research
• [cs.NE]A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware
• [cs.NE]Chaos embedded opposition based learning for gravitational search algorithm
• [cs.NE]Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times
• [cs.NE]What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?
• [cs.NI]Arctic connectivity: A frugal approach to infrastructural development
• [cs.NI]Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks
• [cs.NI]Simulation of Hybrid Edge Computing Architectures
• [cs.PF]Leveraging Transprecision Computing for Machine Vision Applications at the Edge
• [cs.RO]A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
• [cs.RO]A Predictive Application Offloading Algorithm Using Small Datasets for Cloud Robotics
• [cs.RO]An Experimental Validation and Comparison of Reaching Motion Models for Unconstrained Handovers: Towards Generating Humanlike Motions for Human-Robot Handovers
• [cs.RO]An implementation of ROS Autonomous Navigation on Parallax Eddie platform
• [cs.RO]Anytime Stochastic Task and Motion Policies
• [cs.RO]COMPRA: A COMPact Reactive Autonomy framework for subterranean MAV based search-and-rescue operations
• [cs.RO]Distributed Swarm Collision Avoidance Based on Angular Calculations
• [cs.RO]Flying Through a Narrow Gap Using End-to-end Deep Reinforcement Learning Augmented with Curriculum Learning and Sim2Real
• [cs.RO]Hierarchical Reinforcement Learning for Sensor-Based Navigation
• [cs.RO]Model Predictive Contouring Control for Near-Time-Optimal Quadrotor Flight
• [cs.RO]Risk Assessment, Prediction, and Avoidance of Collision in Autonomous Drones
• [cs.RO]RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity
• [cs.RO]SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
• [cs.RO]The rUNSWift SPL Field Segmentation Dataset
• [cs.SD]Unsupervised Learning of Deep Features for Music Segmentation
• [cs.SI]Bowlership: Examining the Existence of Bowler Synergies in Cricket
• [cs.SI]Controlling Segregation in Social Network Dynamics as an Edge Formation Game
• [cs.SI]Small Number of Communities in Twitter Keyword Networks
• [econ.EM]Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making
• [eess.AS]Multi-Channel Transformer Transducer for Speech Recognition
• [eess.AS]Neural HMMs are all you need (for high-quality attention-free TTS)
• [eess.AS]Speech Representations and Phoneme Classification for Preserving the Endangered Language of Ladin
• [eess.IV]A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry
• [eess.IV]Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation
• [eess.IV]Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image
• [eess.IV]Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
• [eess.IV]Rethinking Deep Image Prior for Denoising
• [eess.IV]Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
• [eess.IV]Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video
• [eess.IV]Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
• [eess.SP]Open Set RF Fingerprinting using Generative Outlier Augmentation
• [eess.SY]Data-driven Small-signal Modeling for Converter-based Power Systems
• [math.AP]Individual and population approaches for calibrating division rates in population dynamics: Application to the bacterial cell cycle
• [math.CO]On a family of linear MRD codes with parameters
• [math.DS]Extracting Stochastic Governing Laws by Nonlocal Kramers-Moyal Formulas
• [math.NA]Algebraic compressed sensing
• [math.NA]Avoiding unwanted results in locally linear embedding: A new understanding of regularization
• [math.NA]Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
• [math.OC]A Closed Loop Gradient Descent Algorithm applied to Rosenbrock’s function
• [math.PR]Large Large deviations for spatial telecommunication systems: The boolean model
• [math.PR]Limiting free energy of multi-layer generalized linear models
• [math.PR]Stochastic Approximation with Discontinuous Dynamics, Differential Inclusions, and Applications
• [math.ST]Algorithm for the product of Jack polynomials and its application to the sphericity test
• [math.ST]Convergence Rates for Learning Linear Operators from Noisy Data
• [math.ST]Density estimation in RKHS with application to Korobov spaces in high dimensions
• [math.ST]Nonparametric estimation of the incubation time distribution
• [math.ST]Point forecasting and forecast evaluation with generalized Huber loss
• [math.ST]Survival Analysis with Graph-Based Regularization for Predictors
• [physics.soc-ph]Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data
• [q-bio.PE]Optimal testing strategies to monitor COVID-19 traced contacts
• [quant-ph]Equivariant relative submajorization
• [quant-ph]On the effects of biased quantum random numbers on the initialization of artificial neural networks
• [quant-ph]Photonic Quantum Policy Learning in OpenAI Gym
• [quant-ph]Representation of binary classification trees with binary features by quantum circuits
• [stat.AP]A practical guide to causal discovery with cohort data
• [stat.AP]A scoring framework for tiered warnings and multicategorical forecasts based on fixed risk measures
• [stat.AP]Inequality in Education: A Comparison of Australian Indigenous and Nonindigenous Populations
• [stat.AP]Multi-Resolution Spatio-Temporal Prediction with Application to Wind Power Generation
• [stat.AP]Statistical Challenges in Tracking the Evolution of SARS-CoV-2
• [stat.AP]The promise and perils of point process models of political events
• [stat.CO]A principled stopping rule for importance sampling
• [stat.CO]Multivariate Lévy Adaptive B-Spline Regression
• [stat.ME]A robust fusion-extraction procedure with summary statistics in the presence of biased sources
• [stat.ME]Accuracy, precision, and agreement statistical tests for Bland-Altman method
• [stat.ME]Bayesian Sensitivity Analysis for Missing Data Using the E-value
• [stat.ME]Convergence of position-dependent MALA with application to conditional simulation in GLMMs
• [stat.ME]Dependent Bayesian nonparametric modeling of compositional data using random Bernstein polynomials
• [stat.ME]Eliminating Systematic Bias from Difference-in-Differences Design: A Permutational Detrending Strategy
• [stat.ME]Feature Selection in High-dimensional Space Using Graph-Based Methods
• [stat.ME]Functional Data Representation with Merge Trees
• [stat.ME]Generalized nearly isotonic regression
• [stat.ME]Joint modelling of longitudinal measurements and survival times via a copula approach
• [stat.ME]Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference
• [stat.ME]Maximum Likelihood Estimation of Diffusions by Continuous Time Markov Chain
• [stat.ME]Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data
• [stat.ME]Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification
• [stat.ME]PanelPRO: a general framework for multi-gene, multi-cancer Mendelian risk prediction models
• [stat.ME]ZAP: -value Adaptive Procedures for False Discovery Rate Control with Side Information
• [stat.ML]A fast point solver for deep nonlinear function approximators
• [stat.ML]Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics
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• [cond-mat.mtrl-sci]Thermodynamics-based Artificial Neural Networks (TANN) for multiscale modeling of materials with inelastic microstructure
Filippo Masi, Ioannis Stefanou
http://arxiv.org/abs/2108.13137v1
• [cs.AI]A Mathematical Walkthrough and Discussion of the Free Energy Principle
Beren Millidge, Anil Seth, Christopher L Buckley
http://arxiv.org/abs/2108.13343v1
• [cs.AI]A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution
Kangzheng Liu, Yuhong Zhang
http://arxiv.org/abs/2108.13024v1
• [cs.AI]Aleatoric Description Logic for Probailistic Reasoning (Long Version)
Tim French, Tom Smoker
http://arxiv.org/abs/2108.13036v1
• [cs.AI]Satisfiability and Containment of Recursive SHACL
Paolo Pareti, George Konstantinidis, Fabio Mogavero
http://arxiv.org/abs/2108.13063v1
• [cs.AI]Transport-based Counterfactual Models
Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Jean-Michel Loubes
http://arxiv.org/abs/2108.13025v1
• [cs.AI]Trustworthy AI for Process Automation on a Chylla-Haase Polymerization Reactor
Daniel Hein, Daniel Labisch
http://arxiv.org/abs/2108.13381v1
• [cs.CC]Reachability Is NP-Complete Even for the Simplest Neural Networks
Marco Sälzer, Martin Lange
http://arxiv.org/abs/2108.13179v1
• [cs.CL]Folden:
-Fold Ensemble for Out-Of-Distribution Detection
Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang
http://arxiv.org/abs/2108.12731v1
• [cs.CL]A Sentiment Analysis Dataset for Trustworthiness Evaluation
Lijie Wang, Hao Liu, Shuyuan Peng, Hongxuan Tang, Xinyan Xiao, Ying Chen, Hua Wu
http://arxiv.org/abs/2108.13140v1
• [cs.CL]AEDA: An Easier Data Augmentation Technique for Text Classification
Akbar Karimi, Leonardo Rossi, Andrea Prati
http://arxiv.org/abs/2108.13230v1
• [cs.CL]ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding
Lingyun Feng, Jianwei Yu, Deng Cai, Songxiang Liu, Haitao Zheng, Yan Wang
http://arxiv.org/abs/2108.13048v1
• [cs.CL]Analyzing and Mitigating Interference in Neural Architecture Search
Jin Xu, Xu Tan, Kaitao Song, Renqian Luo, Yichong Leng, Tao Qin, Tie-Yan Liu, Jian Li
http://arxiv.org/abs/2108.12821v1
• [cs.CL]Automatic Text Evaluation through the Lens of Wasserstein Barycenters
Pierre Colombo, Guillaume Staerman, Chloe Clavel, Pablo Piantanida
http://arxiv.org/abs/2108.12463v1
• [cs.CL]Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
http://arxiv.org/abs/2108.12844v1
• [cs.CL]CSDS: A Fine-grained Chinese Dataset for Customer Service Dialogue Summarization
Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong
http://arxiv.org/abs/2108.13139v1
• [cs.CL]Code-switched inspired losses for generic spoken dialog representations
Emile Chapuis, Pierre Colombo, Matthieu Labeau, Chloe Clave
http://arxiv.org/abs/2108.12465v1
• [cs.CL]Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen
http://arxiv.org/abs/2108.13161v1
• [cs.CL]Distilling the Knowledge of Large-scale Generative Models into Retrieval Models for Efficient Open-domain Conversation
Beomsu Kim, Seokjun Seo, Seungju Han, Enkhbayar Erdenee, Buru Chang
http://arxiv.org/abs/2108.12582v1
• [cs.CL]Event Extraction as Natural Language Generation
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
http://arxiv.org/abs/2108.12724v1
• [cs.CL]Extractive and Abstractive Sentence Labelling of Sentiment-bearing Topics
Mohamad Hardyman Barawi, Chenghua Lin, Advaith Siddharthan, Yinbin Liu
http://arxiv.org/abs/2108.12822v1
• [cs.CL]Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding
http://arxiv.org/abs/2108.13134v1
• [cs.CL]Fine-Grained Chemical Entity Typing with Multimodal Knowledge Representation
Chenkai Sun, Weijiang Li, Jinfeng Xiao, Nikolaus Nova Parulian, ChengXiang Zhai, Heng Ji
http://arxiv.org/abs/2108.12899v1
• [cs.CL]Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov
http://arxiv.org/abs/2108.12898v1
• [cs.CL]HELMHOLTZ: A Verifier for Tezos Smart Contracts Based on Refinement Types
Yuki Nishida, Hiromasa Saito, Ran Chen, Akira Kawata, Jun Furuse, Kohei Suenaga, Atsushi Igarashi
http://arxiv.org/abs/2108.12971v1
• [cs.CL]HeadlineCause: A Dataset of News Headlines for Detecting Casualties
Ilya Gusev, Alexey Tikhonov
http://arxiv.org/abs/2108.12626v1
• [cs.CL]Interpretable Propaganda Detection in News Articles
Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James Glass, Preslav Nakov
http://arxiv.org/abs/2108.12802v1
• [cs.CL]Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech
Injy Hamed, Pavel Denisov, Chia-Yu Li, Mohamed Elmahdy, Slim Abdennadher, Ngoc Thang Vu
http://arxiv.org/abs/2108.12881v1
• [cs.CL]Knowledge Base Completion Meets Transfer Learning
Vid Kocijan, Thomas Lukasiewicz
http://arxiv.org/abs/2108.13073v1
• [cs.CL]LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation
Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang
http://arxiv.org/abs/2108.12960v1
• [cs.CL]Layer-wise Model Pruning based on Mutual Information
Chun Fan, Jiwei Li, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun
http://arxiv.org/abs/2108.12594v1
• [cs.CL]Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Lifu Tu
http://arxiv.org/abs/2108.12522v1
• [cs.CL]Mischievous Nominal Constructions in Universal Dependencies
Nathan Schneider, Amir Zeldes
http://arxiv.org/abs/2108.12928v1
• [cs.CL]Mitigation of Diachronic Bias in Fake News Detection Dataset
Taichi Murayama, Shoko Wakamiya, Eiji Aramaki
http://arxiv.org/abs/2108.12601v1
• [cs.CL]Multiplex Graph Neural Network for Extractive Text Summarization
Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong
http://arxiv.org/abs/2108.12870v1
• [cs.CL]N15News: A New Dataset for Multimodal News Classification
Zhen Wang, Xu Shan, Jie Yang
http://arxiv.org/abs/2108.13327v1
• [cs.CL]NEREL: A Russian Dataset with Nested Named Entities and Relations
Natalia Loukachevitch, Ekaterina Artemova, Tatiana Batura, Pavel Braslavski, Ilia Denisov, Vladimir Ivanov, Suresh Manandhar, Alexander Pugachev, Elena Tutubalina
http://arxiv.org/abs/2108.13112v1
• [cs.CL]Neuron-level Interpretation of Deep NLP Models: A Survey
Hassan Sajjad, Nadir Durrani, Fahim Dalvi
http://arxiv.org/abs/2108.13138v1
• [cs.CL]Oh My Mistake!: Toward Realistic Dialogue State Tracking including Turnback Utterances
Takyoung Kim, Yukyung Lee, Hoonsang Yoon, Pilsung Kang, Misuk Kim
http://arxiv.org/abs/2108.12637v1
• [cs.CL]On the Multilingual Capabilities of Very Large-Scale English Language Models
Jordi Armengol-Estapé, Ona de Gibert Bonet, Maite Melero
http://arxiv.org/abs/2108.13349v1
• [cs.CL]Predicting the Factuality of Reporting of News Media Using Observations About User Attention in Their YouTube Channels
Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov
http://arxiv.org/abs/2108.12519v1
• [cs.CL]QACE: Asking Questions to Evaluate an Image Caption
Hwanhee Lee, Thomas Scialom, Seunghyun Yoon, Franck Dernoncourt, Kyomin Jung
http://arxiv.org/abs/2108.12560v1
• [cs.CL]RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations
Pedro Colon-Hernandez, Yida Xin, Henry Lieberman, Catherine Havasi, Cynthia Breazeal, Peter Chin
http://arxiv.org/abs/2108.12941v1
• [cs.CL]Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
http://arxiv.org/abs/2108.12963v1
• [cs.CL]Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh
http://arxiv.org/abs/2108.12777v1
• [cs.CL]Selective Differential Privacy for Language Modeling
Weiyan Shi, Aiqi Cui, Evan Li, Ruoxi Jia, Zhou Yu
http://arxiv.org/abs/2108.12944v1
• [cs.CL]Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi, Wanhao Zhou, Fengyu Cai, Lingjing Kong, Minlie Huang, Boi Faltings
http://arxiv.org/abs/2108.12589v1
• [cs.CL]Sentence Structure and Word Relationship Modeling for Emphasis Selection
Haoran Yang, Wai Lam
http://arxiv.org/abs/2108.12750v1
• [cs.CL]Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning
Ran Tian, Joshua Maynez, Ankur P. Parikh
http://arxiv.org/abs/2108.13032v1
• [cs.CL]Smoothing Dialogue States for Open Conv
f7e
ersational Machine Reading
Zhuosheng Zhang, Siru Ouyang, Hai Zhao, Masao Utiyama, Eiichiro Sumita
http://arxiv.org/abs/2108.12599v1
• [cs.CL]Span Fine-tuning for Pre-trained Language Models
Rongzhou Bao, Zhuosheng Zhang, Hai Zhao
http://arxiv.org/abs/2108.12848v1
• [cs.CL]SummerTime: Text Summarization Toolkit for Non-experts
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir Radev
http://arxiv.org/abs/2108.12738v1
• [cs.CL]The effects of data size on Automated Essay Scoring engines
Christopher Ormerod, Amir Jafari, Susan Lottridge, Milan Patel, Amy Harris, Paul van Wamelen
http://arxiv.org/abs/2108.13275v1
• [cs.CL]WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding
Guoqing Zheng, Giannis Karamanolakis, Kai Shu, Ahmed Hassan Awadallah
http://arxiv.org/abs/2108.12603v1
• [cs.CR]CHAINGE: A Blockchain Solution to Automate Payment Detail Updates to Subscription Services
David Buckley, Gueltoum Bendiab, Stavros Shiaeles, Nick Savage, Nicholas Kolokotronis
http://arxiv.org/abs/2108.12705v1
• [cs.CR]Characterizing Malicious URL Campaigns
Mahathir Almashor, Ejaz Ahmed, Benjamin Pick, Sharif Abuadbba, Raj Gaire, Seyit Camtepe, Surya Nepal
http://arxiv.org/abs/2108.12726v1
• [cs.CR]Feature Analysis for ML-based IIoT Intrusion Detection
Mohanad Sarhan, Siamak Layeghy, Marius Portmann
http://arxiv.org/abs/2108.12732v1
• [cs.CR]ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation
Ahmed Abusnaina, Afsah Anwar, Sultan Alshamrani, Abdulrahman Alabduljabbar, RhongHo Jang, Daehun Nyang, David Mohaisen
http://arxiv.org/abs/2108.13373v1
• [cs.CR]Making Honey Files Sweeter: SentryFS — A Service-Oriented Smart Ransomware Solution
Abdul Rahim Saleh, Gihad Al-Nemera, Saif Al-Otaibi, Rashid Tahir, Mohammed Alkhatib
http://arxiv.org/abs/2108.12792v1
• [cs.CR]Power-Based Attacks on Spatial DNN Accelerators
Ge Li, Mohit Tiwari, Michael Orshansky
http://arxiv.org/abs/2108.12579v1
• [cs.CR]Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts
Jinxin Liu, Murat Simsek, Burak Kantarci, Melike Erol-Kantarci, Andrew Malton, Andrew Walenstein
http://arxiv.org/abs/2108.12739v1
• [cs.CV]3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations
Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler
http://arxiv.org/abs/2108.12958v1
• [cs.CV]A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Yucheng Zhao, Guangting Wang, Chuanxin Tang, Chong Luo, Wenjun Zeng, Zheng-Jun Zha
http://arxiv.org/abs/2108.13002v1
• [cs.CV]A Multimodal Framework for Video Ads Understanding
Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang
http://arxiv.org/abs/2108.12868v1
• [cs.CV]AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data
Ruoqi Wang, Ziwang Huang, Haitao Wang, Hejun Wu
http://arxiv.org/abs/2108.12565v1
• [cs.CV]AP-10K: A Benchmark for Animal Pose Estimation in the Wild
Hang Yu, Yufei Xu, Jing Zhang, Wei Zhao, Ziyu Guan, Dacheng Tao
http://arxiv.org/abs/2108.12617v1
• [cs.CV]Airplane Detection Based on Mask Region Convolution Neural Network
W. T. Alshaibani, Mustafa Helvaci, Ibraheem Shayea, Hafizal Mohamad
http://arxiv.org/abs/2108.12817v1
• [cs.CV]Airplane Type Identification Based on Mask RCNN and Drone Images
W. T Alshaibani, Mustafa Helvaci, Ibraheem Shayea, Sawsan A. Saad, Azizul Azizan, Fitri Yakub
http://arxiv.org/abs/2108.12811v1
• [cs.CV]Attentive Rotation Invariant Convolution for Point Cloud-based Large Scale Place Recognition
Zhaoxin Fan, Zhenbo Song, Wenping Zhang, Hongyan Liu, Jun He, Xiaoyong Du
http://arxiv.org/abs/2108.12790v1
• [cs.CV]BioFors: A Large Biomedical Image Forensics Dataset
Soumyaroop Nandi, Wael AbdAlmageed, Prem Natarajan
http://arxiv.org/abs/2108.12961v1
• [cs.CV]Calibrating Class Activation Maps for Long-Tailed Visual Recognition
Chi Zhang, Guosheng Lin, Lvlong Lai, Henghui Ding, Qingyao Wu
http://arxiv.org/abs/2108.12757v1
• [cs.CV]Decentralized Autofocusing System with Hierarchical Agents
Anna Anikina, Oleg Y. Rogov, Dmitry V. Dylov
http://arxiv.org/abs/2108.12842v1
• [cs.CV]Deep 3D Mask Volume for View Synthesis of Dynamic Scenes
Kai-En Lin, Lei Xiao, Feng Liu, Guowei Yang, Ravi Ramamoorthi
http://arxiv.org/abs/2108.13408v1
• [cs.CV]DeepFake Detection with Inconsistent Head Poses: Reproducibility and Analysis
Kevin Lutz, Robert Bassett
http://arxiv.org/abs/2108.12715v1
• [cs.CV]DenseLiDAR: A Real-Time Pseudo Dense Depth Guided Depth Completion Network
Jiaqi Gu, Zhiyu Xiang, Yuwen Ye, Lingxuan Wang
http://arxiv.org/abs/2108.12655v1
• [cs.CV]Densely Semantic Enhancement for Domain Adaptive Region-free Detectors
Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan
http://arxiv.org/abs/2108.13101v1
• [cs.CV]Differentiable Convolution Search for Point Cloud Processing
Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan
http://arxiv.org/abs/2108.12856v1
• [cs.CV]Digging into Uncertainty in Self-supervised Multi-view Stereo
Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao
http://arxiv.org/abs/2108.12966v1
• [cs.CV]Edge-Cloud Collaborated Object Detection via Difficult-Case Discriminator
Zhiqiang Cao, Zhijun Li, Pan Heng, Yongrui Chen, Daqi Xie, Jie Liu
http://arxiv.org/abs/2108.12858v1
• [cs.CV]Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
Yang Wu, Dingheng Wang, Xiaotong Lu, Fan Yang, Guoqi Li, Weisheng Dong, Jianbo Shi
http://arxiv.org/abs/2108.13055v1
• [cs.CV]Embedding Novel Views in a Single JPEG Image
Yue Wu, Guotao Meng, Qifeng Chen
http://arxiv.org/abs/2108.13003v1
• [cs.CV]Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
Zhenghao Fei, Alex Olenskyj, Brian N. Bailey, Mason Earles
http://arxiv.org/abs/2108.13344v1
• [cs.CV]Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation
Maheen Rashid, Sofia Broomé, Katrina Ask, Elin Hernlund, Pia Haubro Andersen, Hedvig Kjellström, Yong Jae Lee
http://arxiv.org/abs/2108.13258v1
• [cs.CV]Exploring Multi-Tasking Learning in Document Attribute Classification
Tanmoy Mondal, Abhijit Das, Zuheng Ming
http://arxiv.org/abs/2108.13382v1
• [cs.CV]Exploring and Improving Mobile Level Vision Transformers
Pengguang Chen, Yixin Chen, Shu Liu, Mingchang Yang, Jiaya Jia
http://arxiv.org/abs/2108.13015v1
• [cs.CV]Flow-Guided Video Inpainting with Scene Templates
Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi
http://arxiv.org/abs/2108.12845v1
• [cs.CV]Font Completion and Manipulation by Cycling Between Multi-Modality Representations
Ye Yuan, Wuyang Chen, Zhaowen Wang, Matthew Fisher, Zhifei Zhang, Zhangyang Wang, Hailin Jin
http://arxiv.org/abs/2108.12965v1
• [cs.CV]From General to Specific: Informative Scene Graph Generation via Balance Adjustment
Yuyu Guo, Lianli Gao, Xuanhan Wang, Yuxuan Hu, Xing Xu, Xu Lu, Heng Tao Shen, Jingkuan Song
http://arxiv.org/abs/2108.13129v1
• [cs.CV]Goal-driven text descriptions for images
Ruotian Luo
http://arxiv.org/abs/2108.12575v1
• [cs.CV]GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi
http://arxiv.org/abs/2108.12630v1
• [cs.CV]High performing ensemble of convolutional neural networks for insect pest image detection
Loris Nanni, Alessandro Manfe, Gianluca Maguolo, Alessandra Lumini, Sheryl Brahnam
http://arxiv.org/abs/2108.12539v1
• [cs.CV]Hire-MLP: Vision MLP via Hierarchical Rearrangement
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
http://arxiv.org/abs/2108.13341v1
• [cs.CV]Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool
http://arxiv.org/abs/2108.12545v1
• [cs.CV]LIGAR: Lightweight General-purpose Action Recognition
Evgeny Izutov
http://arxiv.org/abs/2108.13153v1
• [cs.CV]LUAI Challenge 2021 on Learning to Understand Aerial Images
Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Micheal Ying Yang, Shengyang Li, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu
http://arxiv.org/abs/2108.13246v1
• [cs.CV]Layout-to-Image Translation with Double Pooling Generative Adversarial Networks
Hao Tang, Nicu Sebe
http://arxiv.org/abs/2108.12900v1
• [cs.CV]Learning Inner-Group Relations on Point Clouds
Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu
http://arxiv.org/abs/2108.12468v1
• [cs.CV]Learning to Discover Reflection Symmetry via Polar Matching Convolution
Ahyun Seo, Woohyeon Shim, Minsu Cho
http://arxiv.org/abs/2108.12952v1
• [cs.CV]Learning to Track Objects from Unlabeled Videos
Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang
http://arxiv.org/abs/2108.12711v1
• [cs.CV]MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection
Xun Tan, Xingyu Chen, Guowei Zhang, Jishiyu Ding, Xuguang Lan
http://arxiv.org/abs/2108.12863v1
• [cs.CV]MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli
http://arxiv.org/abs/2108.12828v1
• [cs.CV]NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Haekyu Park, Nilaksh Das, Rahul Duggal, Austin P. Wright, Omar Shaikh, Fred Hohman, Duen Horng Chau
http://arxiv.org/abs/2108.12931v1
• [cs.CV]Non-Parametric Neural Style Transfer
Nicholas Kolkin
http://arxiv.org/abs/2108.12847v1
• [cs.CV]Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification
Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan
http://arxiv.org/abs/2108.13098v1
• [cs.CV]On the Significance of Question Encoder Sequence Model in the Out-of-Distribution Performance in Visual Question Answering
Gouthaman KV, Anurag Mittal
http://arxiv.org/abs/2108.12585v1
• [cs.CV]Partial Domain Adaptation without Domain Alignment
Weikai Li, Songcan Chen
http://arxiv.org/abs/2108.12867v1
• [cs.CV]Pseudo-mask Matters inWeakly-supervised Semantic Segmentation
Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang
http://arxiv.org/abs/2108.12995v1
• [cs.CV]SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation
Jiaxin Cheng, Soumyaroop Nandi, Prem Natarajan, Wael Abd-Almageed
http://arxiv.org/abs/2108.12517v1
• [cs.CV]Searching for Two-Stream Models in Multivariate Space for Video Recognition
Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan
http://arxiv.org/abs/2108.12957v1
• [cs.CV]SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath
http://arxiv.org/abs/2108.12534v1
• [cs.CV]Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao
http://arxiv.org/abs/2108.13393v1
• [cs.CV]Solving Viewing Graph Optimization for Simultaneous Position and Rotation Registration
Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi
http://arxiv.org/abs/2108.12876v1
• [cs.CV]StackGAN: Facial Image Generation Optimizations
Badr Belhiti, Justin Milushev, Avinash Gupta, John Breedis, Johnson Dinh, Jesse Pisel, Michael Pyrcz
http://arxiv.org/abs/2108.13290v1
• [cs.CV]Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Images
Lefei Zhang, Meng Lan, Jing Zhang, Dacheng Tao
http://arxiv.org/abs/2108.12611v1
• [cs.CV]Threshold: Pruning Tool for Densely Connected Convolutional Networks
Rui-Yang Ju, Ting-Yu Lin, Jen-Shiun Chiang
http://arxiv.org/abs/2108.12604v1
• [cs.CV]Tune It or Don’t Use It: Benchmarking Data-Efficient Image Classification
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
http://arxiv.org/abs/2108.13122v1
• [cs.CV]Uncertainty-Aware Model Adaptation for Unsupervised Cross-Domain Object Detection
Minjie Cai, Minyi Luo, Xionghu Zhong, Hao Chen
http://arxiv.org/abs/2108.12612v1
• [cs.CV]Unsupervised Monocular Depth Perception: Focusing on Moving Objects
Hualie Jiang, Laiyan Ding, Zhenglong Sun, Rui Huang
http://arxiv.org/abs/2108.13062v1
• [cs.CV]Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures
Eloy Geenjaar, Tonya White, Vince Calhoun
http://arxiv.org/abs/2108.12756v1
• [cs.CV]What You Can Learn by Staring at a Blank Wall
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Fredo Durand
http://arxiv.org/abs/2108.13027v1
• [cs.CV]X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph
Yuan Liang, Weinan Song, Jiawei Yang, Liang Qiu, Kun Wang, Lei He
http://arxiv.org/abs/2108.13004v1
• [cs.CY]COVID-19 Datathon Based on Deidentified Governmental Data as an Approach for Solving Policy Challenges, Increasing Trust, and Building a Community: Case Study
Mor Peleg, Amnon Reichman, Sivan Shachar, Tamir Gadot, Meytal Avgil Tsadok, Maya Azaria, Orr Dunkelman, Shiri Hassid, Daniella Partem, Maya Shmailov, Elad Yom-Tov, Roy Cohen
http://arxiv.org/abs/2108.13068v1
• [cs.CY]City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling
Yimin Wang, Yixian Chen, Guilong Li, Yuhuan Lu, Zhi Yu, Zhaocheng He
http://arxiv.org/abs/2108.13376v1
• [cs.CY]Coding with Purpose: Learning AI in Rural California
Stephanie Tena-Meza, Miroslav Suzara, AJ Alvero
http://arxiv.org/abs/2108.13363v1
• [cs.CY]Robustness Disparities in Commercial Face Detection
Samuel Dooley, Tom Goldstein, John P. Dickerson
http://arxiv.org/abs/2108.12508v1
• [cs.CY]Tracing app technology: An ethical review in the COVID-19 era and directions for post-COVID-19
Saleh Afroogh, Amir Esmalian, Ali Mostafavi, Ali Akbari, Kambiz Rasoulkhani, Shahriar Esmaeili, Ehsan Hajiramezanali
http://arxiv.org/abs/2108.12673v1
• [cs.CY]Why and How Governments Should Monitor AI Development
Jess Whittlestone, Jack Clark
http://arxiv.org/abs/2108.12427v1
• [cs.DC]A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation
Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
http://arxiv.org/abs/2108.12831v1
• [cs.DC]Attempt to Predict Failure Case Classification in a Failure Database by using Neural Network Models
Koichi Bando, Kenji Tanaka
http://arxiv.org/abs/2108.12788v1
• [cs.DC]AuctionWhisk: Using an Auction-Inspired Approach for Function Placement in Serverless Fog Platforms
David Bermbach, Jonathan Bader, Jonathan Hasenburg, Tobias Pfandzelter, Lauritz Thamsen
http://arxiv.org/abs/2108.13222v1
• [cs.DC]Data-Oriented Language Implementation of Lattice-Boltzmann Method for Dense and Sparse Geometries
Tadeusz Tomczak
http://arxiv.org/abs/2108.13241v1
• [cs.DC]Harvesting Idle Resources in Serverless Computing via Reinforcement Learning
Hanfei Yu, Hao Wang, Jian Li, Seung-Jong Park
http://arxiv.org/abs/2108.12717v1
• [cs.DC]Outlier Detection in Smart Grid Communication
Nelson Makau Mutua, Petr Matoušek
http://arxiv.org/abs/2108.12781v1
• [cs.DC]Towards Reference Architectures for Trustworthy Collaborative Cyber-Physical Systems: Reference Architectures as Boundary Objects
Muhammad Rusyadi Ramli, Fredrik Asplund, Martin Torngren
http://arxiv.org/abs/2108.12771v1
• [cs.DC]Towards formally analyzed Cyber-Physical Systems
Richárd Szabó, András Vörös
http://arxiv.org/abs/2108.12773v1
• [cs.DL]Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research
Eoghan Cunningham, Barry Smyth, Derek Greene
http://arxiv.org/abs/2108.13370v1
• [cs.DS]Approximating Pandora’s Box with Correlations
Shuchi Chawla, Evangelia Gergatsouli, Jeremy McMahan, Christos Tzamos
http://arxiv.org/abs/2108.12976v1
• [cs.ET]Master memory function for delay-based reservoir computers with single-variable dynamics
Felix Köster, Serhiy Yanchuk, Kathy Lüdge
http://arxiv.org/abs/2108.12643v1
• [cs.GR]DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI
Yifeng Jiang, Michelle Guo, Jiangshan Li, Ioannis Exarchos, Jiajun Wu, C. Karen Liu
http://arxiv.org/abs/2108.12536v1
• [cs.IR]Certifying One-Phase Technology-Assisted Reviews
David D. Lewis, Eugene Yang, Ophir Frieder
http://arxiv.org/abs/2108.12746v1
• [cs.IR]TAR on Social Media: A Framework for Online Content Moderation
Eugene Yang, David D. Lewis, Ophir Frieder
http://arxiv.org/abs/2108.12752v1
• [cs.IT]A Lightweight Machine Learning Assisted Power Optimization for Minimum Error in NOMA-CRS over Nakagami- channels
Ferdi Kara, Hakan Kaya, Halim Yanikomeroglu
http://arxiv.org/abs/2108.12591v1
• [cs.IT]An axiomatic characterization of mutual information
James Fullwood
http://arxiv.org/abs/2108.12647v1
• [cs.IT]Asymptotic Frame Theory for Analog Coding
Marina Haikin, Matan Gavish, Dustin G. Mixon, Ram Zamir
http://arxiv.org/abs/2108.12618v1
• [cs.IT]Construction for both self-dual codes and LCD codes
Keita Ishizuka, Ken Saito
http://arxiv.org/abs/2108.12544v1
• [cs.IT]Fast Decoding of Union-free Codes
Ilya Vorobyev
http://arxiv.org/abs/2108.13359v1
• [cs.IT]High-Throughput VLSI Architecture for GRAND Markov Order
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
http://arxiv.org/abs/2108.12563v1
• [cs.IT]KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
Ashok Vardhan Makkuva, Xiyang Liu, Mohammad Vahid Jamali, Hessam Mahdavifar, Sewoong Oh, Pramod Viswanath
http://arxiv.org/abs/2108.12920v1
• [cs.IT]Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation
Mario Diaz, Peter Kairouz, Lalitha Sankar
http://arxiv.org/abs/2108.12851v1
• [cs.IT]Overcoming Data Availability Attacks in Blockchain Systems: LDPC Code Design for Coded Merkle Tree
Debarnab Mitra, Lev Tauz, Lara Dolecek
http://arxiv.org/abs/2108.13332v1
• [cs.IT]Resource Allocation for Active IRS-Assisted Multiuser Communication Systems
Dongfang Xu, Xianghao Yu, Derrick Wing Kwan Ng, Robert Schober
http://arxiv.org/abs/2108.13033v1
• [cs.IT]Scalable Cell-Free Massive MIMO Systems: Impact of Hardware Impairments
Anastasios Papazafeiropoulos, Emil Björnson, Pandelis Kourtessis, Symeon Chatzinotas, John M. Senior
http://arxiv.org/abs/2108.12642v1
• [cs.IT]Secure Block Source Coding with Sequential Encoding
Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund
http://arxiv.org/abs/2108.13295v1
• [cs.IT]Simultaneous Control Information and Power Transmission for Reconfigurable Intelligent Surfaces
Steven Kisseleff, Konstantinos Ntontin, Wallace A. Martins, Symeon Chatzinotas, Björn Ottersten
http://arxiv.org/abs/2108.13067v1
• [cs.IT]Statistical Classification via Robust Hypothesis Testing: Non-Asymptotic and Simple Bounds
Hüseyin Afşer
http://arxiv.org/abs/2108.12607v1
• [cs.IT]Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform
Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross
http://arxiv.org/abs/2108.12550v1
• [cs.IT]Trims and Extensions of Quadratic APN Functions
Christof Beierle, Gregor Leander, Léo Perrin
http://arxiv.org/abs/2108.13280v1
• [cs.IT]Visible Rank and Codes with Locality
Omar Alrabiah, Venkatesan Guruswami
http://arxiv.org/abs/2108.12687v1
• [cs.LG]A Policy Efficient Reduction Approach to Convex Constrained Deep Reinforcement Learning
Tianchi Cai, Wenpeng Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu
http://arxiv.org/abs/2108.12916v1
• [cs.LG]Adaptive perturbation adversarial training: based on reinforcement learning
Zhishen Nie, Ying Lin, Sp Ren, Lan Zhang
http://arxiv.org/abs/2108.13239v1
• [cs.LG]Adversarial Stein Training for Graph Energy Models
Shiv Shankar
http://arxiv.org/abs/2108.12982v1
• [cs.LG]An Interpretable Web-based Glioblastoma Multiforme Prognosis Prediction Tool using Random Forest Model
Yeseul Kim, Kyung Hwan Kim, Junyoung Park, Hong In Yoon, Wonmo Sung
http://arxiv.org/abs/2108.13039v1
• [cs.LG]An Introduction to Variational Inference
Ankush Ganguly, Samuel W. F. Earp
http://arxiv.org/abs/2108.13083v1
• [cs.LG]Approximate Bayesian Optimisation for Neural Networks
Nadhir Hassen, Irina Rish
http://arxiv.org/abs/2108.12461v1
• [cs.LG]Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang
http://arxiv.org/abs/2108.13041v1
• [cs.LG]Combining chest X-rays and EHR data using machine learning to diagnose acute respiratory failure
Sarah Jabbour, David Fouhey, Ella Kazerooni, Jenna Wiens, Michael W Sjoding
http://arxiv.org/abs/2108.12530v1
• [cs.LG]Communication-Computation Efficient Device-Edge Co-Inference via AutoML
Xinjie Zhang, Jiawei Shao, Yuyi Mao, Jun Zhang
http://arxiv.org/abs/2108.13009v1
• [cs.LG]Compact representations of convolutional neural networks via weight pruning and quantization
Giosuè Cataldo Marinò, Alessandro Petrini, Dario Malchiodi, Marco Frasca
http://arxiv.org/abs/2108.12704v1
• [cs.LG]Convolutional versus Dense Neural Networks: Comparing the Two Neural Networks Performance in Predicting Building Operational Energy Use Based on the Building Shape
Farnaz Nazari, Wei Yan
http://arxiv.org/abs/2108.12929v1
• [cs.LG]CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models
Max Zvyagin, Thomas Brettin, Arvind Ramanathan, Sumit Kumar Jha
http://arxiv.org/abs/2108.12768v1
• [cs.LG]DKM: Differentiable K-Means Clustering Layer for Neural Network Compression
Minsik Cho, Keivan A. Vahid, Saurabh Adya, Mohammad Rastegari
http://arxiv.org/abs/2108.12659v1
• [cs.LG]DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
http://arxiv.org/abs/2108.13342v1
• [cs.LG]Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy, M. Ashraful Amin, AKM Mahbubur Rahman, Amin Ahsan Ali
http://arxiv.org/abs/2108.12734v1
• [cs.LG]Deep Reinforcement Learning at the Edge of the Statistical Precipice
Rishabh Agarwal, Max Schwarzer, Pablo Samuel Castro, Aaron Courville, Marc G. Bellemare
http://arxiv.org/abs/2108.13264v1
• [cs.LG]Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding
Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato, Mirko Salaris, Céline Hudelot, Marco Domenico Santambrogio
http://arxiv.org/abs/2108.13051v1
• [cs.LG]Disrupting Adversarial Transferability in Deep Neural Networks
Christopher Wiedeman, Ge Wang
http://arxiv.org/abs/2108.12492v1
• [cs.LG]DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
Shiwen Ni, Jiawen Li, Hung-Yu Kao
http://arxiv.org/abs/2108.12805v1
• [cs.LG]Evaluating Bayes Error Estimators on Read-World Datasets with FeeBee
Cedric Renggli, Luka Rimanic, Nora Hollenstein, Ce Zhang
http://arxiv.org/abs/2108.13034v1
• [cs.LG]FedKD: Communication Efficient Federated Learning via Knowledge Distillation
Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
http://arxiv.org/abs/2108.13323v1
• [cs.LG]GeoVectors: A Linked Open Corpus of OpenStreetMap Embeddings on World Scale
Nicolas Tempelmeier, Simon Gottschalk, Elena Demidova
http://arxiv.org/abs/2108.13092v1
• [cs.LG]Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks
Mathew Mithra Noel, Arunkumar L, Advait Trivedi, Praneet Dutta
http://arxiv.org/abs/2108.12943v1
• [cs.LG]Influence-based Reinforcement Learning for Intrinsically-motivated Agents
Ammar Fayad, Majd Ibrahim
http://arxiv.org/abs/2108.12581v1
• [cs.LG]Integrated Decision and Control at Multi-Lane Intersections with Mixed Traffic Flow
Jianhua Jiang, Yangang Ren, Yang Guan, Shengbo Eben Li, Yuming Yin, Xiaoping Jin
http://arxiv.org/abs/2108.13038v1
• [cs.LG]Investigating Vulnerabilities of Deep Neural Policies
Ezgi Korkmaz
http://arxiv.org/abs/2108.13093v1
• [cs.LG]Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang, Li Shen, Lei Han, Li Shen
http://arxiv.org/abs/2108.12988v1
• [cs.LG]Lipschitz Continuity Guided Knowledge Distillation
Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
http://arxiv.org/abs/2108.12905v1
• [cs.LG]Markov Switching Model for Driver Behavior Prediction: Use cases on Smartphones
Ahmed B. Zaky, Mohamed A. Khamis, Walid Gomaa
http://arxiv.org/abs/2108.12801v1
• [cs.LG]Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models
Yasin Yilmaz, Mehmet Aktukmak, Alfred O. Hero
http://arxiv.org/abs/2108.12445v1
• [cs.LG]Neural Network Gaussian Processes by Increasing Depth
Shao-Qun Zhang, Feng-Lei Fan
http://arxiv.org/abs/2108.12862v1
• [cs.LG]Noisy Labels for Weakly Supervised Gamma Hadron Classification
Lukas Pfahler, Mirko Bunse, Katharina Morik
http://arxiv.org/abs/2108.13396v1
• [cs.LG]Normalizing Field Flows: Solving forward and inverse stochastic differential equations using Physics-Informed flow model
Ling Guo, Hao Wu, Tao Zhou
http://arxiv.org/abs/2108.12956v1
• [cs.LG]Ovarian Cancer Prediction from Ovarian Cysts Based on TVUS Using Machine Learning Algorithms
Laboni Akter, Nasrin Akhter
http://arxiv.org/abs/2108.13387v1
• [cs.LG]Privacy-preserving Machine Learning for Medical Image Classification
Shreyansh Singh, K. K. Shukla
http://arxiv.org/abs/2108.12816v1
• [cs.LG]Private Multi-Task Learning: Formulation and Applications to Federated Learning
Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith
http://arxiv.org/abs/2108.12978v1
• [cs.LG]Prototypes-Guided Memory Replay for Continual Learning
Stella Ho, Ming Liu, Lan Du, Longxiang Gao, Yong Xiang
http://arxiv.org/abs/2108.12641v1
• [cs.LG]Representation Memorization for Fast Learning New Knowledge without Forgetting
Fei Mi, Tao Lin, Boi Faltings
http://arxiv.org/abs/2108.12596v1
• [cs.LG]SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts
Masanari Kimura, Takuma Nakamura, Yuki Saito
http://arxiv.org/abs/2108.12992v1
• [cs.LG]Single Node Injection Attack against Graph Neural Networks
Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng
http://arxiv.org/abs/2108.13049v1
• [cs.LG]Survival Prediction of Heart Failure Patients using Stacked Ensemble Machine Learning Algorithm
S. M Mehedi Zaman, Wasay Mahmood Qureshi, Md. Mohsin Sarker Raihan, Ocean Monjur, Abdullah Bin Shams
http://arxiv.org/abs/2108.13367v1
• [cs.LG]TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Li Shen, Yangzhu Wang
http://arxiv.org/abs/2108.12784v1
• [cs.LG]The missing link: Developing a safety case for perception components in automated driving
Rick Salay, Krzysztof Czarnecki, Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae, Vahdat Abdelzad, Chengjie Huang, Maximilian Kahn, Van Duong Nguyen
http://arxiv.org/abs/2108.13294v1
• [cs.LG]To tune or not to tune? An Approach for Recommending Important Hyperparameters
Mohamadjavad Bahmani, Radwa El Shawi, Nshan Potikyan, Sherif Sakr
http://arxiv.org/abs/2108.13066v1
• [cs.LG]Uncertainty quantification for multiclass data description
Leila Kalantari, Jose Principe, Kathryn E. Sieving
http://arxiv.org/abs/2108.12857v1
• [cs.LG]Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models
Yu Wang, Fang Liu, Daniele E. Schiavazzi
http://arxiv.org/abs/2108.12657v1
• [cs.LG]Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
Johannes C. Paetzold, Julian McGinnis, Suprosanna Shit, Ivan Ezhov, Paul Büschl, Chinmay Prabhakar, Mihail I. Todorov, Anjany Sekuboyina, Georgios Kaissis, Ali Ertürk, Stephan Günnemann, Bjoern H. Menze
http://arxiv.org/abs/2108.13233v1
• [cs.MA]Multi-Agent Simulation for AI Behaviour Discovery in Operations Research
Michael Papasimeon, Lyndon Benke
http://arxiv.org/abs/2108.13296v1
• [cs.NE]A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware
Shihao Song, M. Lakshmi Varshika, Anup Das, Nagarajan Kandasamy
http://arxiv.org/abs/2108.12444v1
• [cs.NE]Chaos embedded opposition based learning for gravitational search algorithm
Susheel Kumar Joshi
http://arxiv.org/abs/2108.12610v1
• [cs.NE]Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times
Xilu Wang, Yaochu Jin, Sebastian Schmitt, Markus Olhofer
http://arxiv.org/abs/2108.13339v1
• [cs.NE]What can phylogenetic metrics tell us about useful diversity in evolutionary algorithms?
Jose Guadalupe Hernandez, Alexander Lalejini, Emily Dolson
http://arxiv.org/abs/2108.12586v1
• [cs.NI]Arctic connectivity: A frugal approach to infrastructural development
Mette Simonsen Abildgaard, Carina Ren, Israel Leyva-Mayorga, Cedomir Stefanovic, Beatriz Soret, Petar Popovski
http://arxiv.org/abs/2108.13012v1
• [cs.NI]Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks
Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marcus Gallagher, Marius Portmann
http://arxiv.org/abs/2108.12722v1
• [cs.NI]Simulation of Hybrid Edge Computing Architectures
Luca Serena, Mirko Zichichi, Gabriele D’Angelo, Stefano Ferretti
http://arxiv.org/abs/2108.12592v1
• [cs.PF]Leveraging Transprecision Computing for Machine Vision Applications at the Edge
Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger Woods
http://arxiv.org/abs/2108.12914v1
• [cs.RO]A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
Raunak Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel Kochenderfer
http://arxiv.org/abs/2108.12820v1
• [cs.RO]A Predictive Application Offloading Algorithm Using Small Datasets for Cloud Robotics
Manoj Penmetcha, Shyam Sundar Kannan, Byung-Cheol Min
http://arxiv.org/abs/2108.12616v1
• [cs.RO]An Experimental Validation and Comparison of Reaching Motion Models for Unconstrained Handovers: Towards Generating Humanlike Motions for Human-Robot Handovers
Wesley P. Chan, Tin Tran, Sara Sheikholeslami, Elizabeth Croft
http://arxiv.org/abs/2108.12780v1
• [cs.RO]An implementation of ROS Autonomous Navigation on Parallax Eddie platform
Hafiq Anas, Wee Hong Ong
http://arxiv.org/abs/2108.12571v1
• [cs.RO]Anytime Stochastic Task and Motion Policies
Naman Shah, Siddharth Srivastava
http://arxiv.org/abs/2108.12537v1
• [cs.RO]COMPRA: A COMPact Reactive Autonomy framework for subterranean MAV based search-and-rescue operations
Björn Lindqvist, Christoforos Kanellakis, Sina Sharif Mansouri, Ali-akbar Agha-mohammadi, George Nikolakopoulos
http://arxiv.org/abs/2108.13105v1
• [cs.RO]Distributed Swarm Collision Avoidance Based on Angular Calculations
SeyedZahir Qazavi, Samaneh Hosseini Semnani
http://arxiv.org/abs/2108.12934v1
• [cs.RO]Flying Through a Narrow Gap Using End-to-end Deep Reinforcement Learning Augmented with Curriculum Learning and Sim2Real
Chenxi Xiao, Peng Lu, Qizhi He
http://arxiv.org/abs/2108.12869v1
• [cs.RO]Hierarchical Reinforcement Learning for Sensor-Based Navigation
Christopher Gebauer, Maren Bennewitz
http://arxiv.org/abs/2108.13268v1
• [cs.RO]Model Predictive Contouring Control for Near-Time-Optimal Quadrotor Flight
Angel Romero, Sihao Sun, Philipp Foehn, Davide Scaramuzza
http://arxiv.org/abs/2108.13205v1
• [cs.RO]Risk Assessment, Prediction, and Avoidance of Collision in Autonomous Drones
Anamta Khan
http://arxiv.org/abs/2108.12770v1
• [cs.RO]RoboRun: A Robot Runtime to Exploit Spatial Heterogeneity
Behzad Boroujerdian, Radhika Ghosal, Jonathan Cruz, Brian Plancher, Vijay Janapa Reddi
http://arxiv.org/abs/2108.13354v1
• [cs.RO]SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning
Jiaqi Xu, Bin Li, Bo Lu, Yun-Hui Liu, Qi Dou, Pheng-Ann Heng
http://arxiv.org/abs/2108.13035v1
• [cs.RO]The rUNSWift SPL Field Segmentation Dataset
Wentao Lu
http://arxiv.org/abs/2108.12809v1
• [cs.SD]Unsupervised Learning of Deep Features for Music Segmentation
Matthew C. McCallum
http://arxiv.org/abs/2108.12955v1
• [cs.SI]Bowlership: Examining the Existence of Bowler Synergies in Cricket
Praharsh Nanavati, Amit Anil Nanavati
http://arxiv.org/abs/2108.12667v1
• [cs.SI]Controlling Segregation in Social Network Dynamics as an Edge Formation Game
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy
http://arxiv.org/abs/2108.12741v1
• [cs.SI]Small Number of Communities in Twitter Keyword Networks
Linda Abraham, Anthony Bonato, Alexander Nazareth
http://arxiv.org/abs/2108.13259v1
• [econ.EM]Self-fulfilling Bandits: Endogeneity Spillover and Dynamic Selection in Algorithmic Decision-making
Jin Li, Ye Luo, Xiaowei Zhang
http://arxiv.org/abs/2108.12547v1
• [eess.AS]Multi-Channel Transformer Transducer for Speech Recognition
Feng-Ju Chang, Martin Radfar, Athanasios Mouchtaris, Maurizio Omologo
http://arxiv.org/abs/2108.12953v1
• [eess.AS]Neural HMMs are all you need (for high-quality attention-free TTS)
Shivam Mehta, Éva Székely, Jonas Beskow, Gustav Eje Henter
http://arxiv.org/abs/2108.13320v1
• [eess.AS]Speech Representations and Phoneme Classification for Preserving the Endangered Language of Ladin
Zane Durante, Leena Mathur, Eric Ye, Sichong Zhao, Tejas Ramdas, Khalil Iskarous
http://arxiv.org/abs/2108.12531v1
• [eess.IV]A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry
Yuan Gao, Lok Hin Lee, Richard Droste, Rachel Craik, Sridevi Beriwal, Aris Papageorghiou, Alison Noble
http://arxiv.org/abs/2108.12719v1
• [eess.IV]Automatic Preprocessing and Ensemble Learning for Low Quality Cell Image Segmentation
Sota Kato, Kazuhiro Hotta
http://arxiv.org/abs/2108.13118v1
• [eess.IV]Image-to-Graph Convolutional Network for Deformable Shape Reconstruction from a Single Projection Image
M. Nakao, F. Tong, M. Nakamura, T. Matsuda
http://arxiv.org/abs/2108.12533v1
• [eess.IV]Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim
http://arxiv.org/abs/2108.12947v1
• [eess.IV]Rethinking Deep Image Prior for Denoising
Yeonsik Jo, Se Young Chun, Jonghyun Choi
http://arxiv.org/abs/2108.12841v1
• [eess.IV]Robust Interactive Semantic Segmentation of Pathology Images with Minimal User Input
Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Nasir Rajpoot
http://arxiv.org/abs/2108.13368v1
• [eess.IV]Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video
Xianhao Tian, Peijia Zheng, Jiwu Huang
http://arxiv.org/abs/2108.13141v1
• [eess.IV]Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging
Ziyi Meng, Zhenming Yu, Kun Xu, Xin Yuan
http://arxiv.org/abs/2108.12654v1
• [eess.SP]Open Set RF Fingerprinting using Generative Outlier Augmentation
Samurdhi Karunaratne, Samer Hanna, Danijela Cabric
http://arxiv.org/abs/2108.13099v1
• [eess.SY]Data-driven Small-signal Modeling for Converter-based Power Systems
Francesca Rossi, Eduardo Prieto-Araujo, Marc Cheah-Mane, Oriol Gomis-Bellmunt
http://arxiv.org/abs/2108.13046v1
• [math.AP]Individual and population approaches for calibrating division rates in population dynamics: Application to the bacterial cell cycle
Marie Doumic, Marc Hoffmann
http://arxiv.org/abs/2108.13155v1
• [math.CO]On a family of linear MRD codes with parameters
Marco Timpanella, Giovanni Zini
http://arxiv.org/abs/2108.13082v1
• [math.DS]Extracting Stochastic Governing Laws by Nonlocal Kramers-Moyal Formulas
Yubin Lu, Yang Li, Jinqiao Duan
http://arxiv.org/abs/2108.12570v1
• [math.NA]Algebraic compressed sensing
Paul Breiding, Fulvio Gesmundo, Mateusz Michałek, Nick Vannieuwenhoven
http://arxiv.org/abs/2108.13208v1
• [math.NA]Avoiding unwanted results in locally linear embedding: A new understanding of regularization
Liren Lin
http://arxiv.org/abs/2108.12680v1
• [math.NA]Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks
Yihang Gao, Michael K. Ng
http://arxiv.org/abs/2108.13054v1
• [math.OC]A Closed Loop Gradient Descent Algorithm applied to Rosenbrock’s function
Subhransu Bhattacharjee, Ian Petersen
http://arxiv.org/abs/2108.12883v1
• [math.PR]Large Large deviations for spatial telecommunication systems: The boolean model
A. K. Boahen, K. Doku-Amponsah
http://arxiv.org/abs/2108.11820v2
• [math.PR]Limiting free energy of multi-layer generalized linear models
Hong-Bin Chen, Jiaming Xia
http://arxiv.org/abs/2108.12615v1
• [math.PR]Stochastic Approximation with Discontinuous Dynamics, Differential Inclusions, and Applications
Nhu Nguyen, George Yin
http://arxiv.org/abs/2108.12652v1
• [math.ST]Algorithm for the product of Jack polynomials and its application to the sphericity test
Koki Shimizu, Hiroki Hashiguchi
http://arxiv.org/abs/2108.13283v1
• [math.ST]Convergence Rates for Learning Linear Operators from Noisy Data
Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart
http://arxiv.org/abs/2108.12515v1
• [math.ST]Density estimation in RKHS with application to Korobov spaces in high dimensions
Yoshihito Kazashi, Fabio Nobile
http://arxiv.org/abs/2108.12699v1
• [math.ST]Nonparametric estimation of the incubation time distribution
Piet Groeneboom
http://arxiv.org/abs/2108.12606v1
• [math.ST]Point forecasting and forecast evaluation with generalized Huber loss
Robert J. Taggart
http://arxiv.org/abs/2108.12426v1
• [math.ST]Survival Analysis with Graph-Based Regularization for Predictors
Xi He, Liyan Xie, Yao Xie, Pinar Keskinocak
http://arxiv.org/abs/2108.12827v1
• [physics.soc-ph]Predicting Road Flooding Risk with Machine Learning Approaches Using Crowdsourced Reports and Fine-grained Traffic Data
Faxi Yuan, William Mobley, Hamed Farahmand, Yuanchang Xu, Russell Blessing, Ali Mostafavi, Samuel D. Brody
http://arxiv.org/abs/2108.13265v1
• [q-bio.PE]Optimal testing strategies to monitor COVID-19 traced contacts
Patricio Foncea, Susana Mondschein, Marcelo Olivares
http://arxiv.org/abs/2108.12938v1
• [quant-ph]Equivariant relative submajorization
Gergely Bunthy, Péter Vrana
http://arxiv.org/abs/2108.13217v1
• [quant-ph]On the effects of biased quantum random numbers on the initialization of artificial neural networks
Raoul Heese, Moritz Wolter, Sascha Mücke, Lukas Franken, Nico Piatkowski
http://arxiv.org/abs/2108.13329v1
• [quant-ph]Photonic Quantum Policy Learning in OpenAI Gym
Dániel Nagy, Zsolt Tabi, Péter Hága, Zsófia Kallus, Zoltán Zimborás
http://arxiv.org/abs/2108.12926v1
• [quant-ph]Representation of binary classification trees with binary features by quantum circuits
Raoul Heese, Patricia Bickert, Astrid Elisa Niederle
http://arxiv.org/abs/2108.13207v1
• [stat.AP]A practical guide to causal discovery with cohort data
Ryan M. Andrews, Ronja Foraita, Vanessa Didelez, Janine Witte
http://arxiv.org/abs/2108.13395v1
• [stat.AP]A scoring framework for tiered warnings and multicategorical forecasts based on fixed risk measures
Robert Taggart, Nicholas Loveday, Deryn Griffiths
http://arxiv.org/abs/2108.12814v1
• [stat.AP]Inequality in Education: A Comparison of Australian Indigenous and Nonindigenous Populations
David Gunawan, William Griffiths, Duangkamon Chotikapanich
http://arxiv.org/abs/2108.12830v1
• [stat.AP]Multi-Resolution Spatio-Temporal Prediction with Application to Wind Power Generation
Shixiang Zhu, Hanyu Zhang, Yao Xie, Pascal Van Hentenryck
http://arxiv.org/abs/2108.13285v1
• [stat.AP]Statistical Challenges in Tracking the Evolution of SARS-CoV-2
Lorenzo Cappello, Jaehee Kim, Sifan Liu, Julia A. Palacios
http://arxiv.org/abs/2108.13362v1
• [stat.AP]The promise and perils of point process models of political events
Lin Zhu, Scott J. Cook, Mikyoung Jun
http://arxiv.org/abs/2108.12566v1
• [stat.CO]A principled stopping rule for importance sampling
Medha Agarwal, Dootika Vats, Víctor Elvira
http://arxiv.org/abs/2108.13289v1
• [stat.CO]Multivariate Lévy Adaptive B-Spline Regression
Sewon Park, Jaeyong Lee
http://arxiv.org/abs/2108.11863v2
• [stat.ME]A robust fusion-extraction procedure with summary statistics in the presence of biased sources
Ruoyu Wang, Qihua Wang, Wang Miao
http://arxiv.org/abs/2108.12600v1
• [stat.ME]Accuracy, precision, and agreement statistical tests for Bland-Altman method
P. S. P. Silveira, J. E. Vieira, A. A. Ferraro, J. O. Siqueira
http://arxiv.org/abs/2108.12937v1
• [stat.ME]Bayesian Sensitivity Analysis for Missing Data Using the E-value
Wu Xue, Abbas Zaidi
http://arxiv.org/abs/2108.13286v1
• [stat.ME]Convergence of position-dependent MALA with application to conditional simulation in GLMMs
Vivekananda Roy, Lijin Zhang
http://arxiv.org/abs/2108.12662v1
• [stat.ME]Dependent Bayesian nonparametric modeling of compositional data using random Bernstein polynomials
Claudia Wehrhahn, Andrés F. Barrientos, Alejandro Jara
http://arxiv.org/abs/2108.13403v1
• [stat.ME]Eliminating Systematic Bias from Difference-in-Differences Design: A Permutational Detrending Strategy
Xiaoming Wang, Sukun Wang
http://arxiv.org/abs/2108.13311v1
• [stat.ME]Feature Selection in High-dimensional Space Using Graph-Based Methods
Swarnadip Ghosh, Somabha Mukherjee, Divyansh Agarwal
http://arxiv.org/abs/2108.12682v1
• [stat.ME]Functional Data Representation with Merge Trees
Matteo Pegoraro, Piercesare Secchi
http://arxiv.org/abs/2108.13147v1
• [stat.ME]Generalized nearly isotonic regression
Takeru Matsuda, Yuto Miyatake
http://arxiv.org/abs/2108.13010v1
• [stat.ME]Joint modelling of longitudinal measurements and survival times via a copula approach
Zili Zhang, Christiana Charalambous, Peter Foster
http://arxiv.org/abs/2108.12478v1
• [stat.ME]Lagged couplings diagnose Markov chain Monte Carlo phylogenetic inference
Luke J. Kelly, Robin J. Ryder, Grégoire Clarté
http://arxiv.org/abs/2108.13328v1
• [stat.ME]Maximum Likelihood Estimation of Diffusions by Continuous Time Markov Chain
J. L. Kirkby, Dang Nguyen, Duy Nguyen, Nhu Nguyen
http://arxiv.org/abs/2108.12649v1
• [stat.ME]Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data
Janine Witte, Ronja Foraita, Vanessa Didelez
http://arxiv.org/abs/2108.13331v1
• [stat.ME]Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification
Sarah C. Lotspeich, Gustavo G. C. Amorim, Pamela A. Shaw, Ran Tao, Bryan E. Shepherd
http://arxiv.org/abs/2108.13263v1
• [stat.ME]PanelPRO: a general framework for multi-gene, multi-cancer Mendelian risk prediction models
Jane W. Liang, Gregory E. Idos, Christine Hong, Stephen B. Gruber, Giovanni Parmigiani, Danielle Braun
http://arxiv.org/abs/2108.12504v1
• [stat.ME]ZAP: -value Adaptive Procedures for False Discovery Rate Control with Side Information
Dennis Leung, Wenguang Sun
http://arxiv.org/abs/2108.12623v1
• [stat.ML]A fast point solver for deep nonlinear function approximators
Laurence Aitchison
http://arxiv.org/abs/2108.13097v1
• [stat.ML]Generalized Huber Loss for Robust Learning and its Efficient Minimization for a Robust Statistics
Kaan Gokcesu, Hakan Gokcesu
http://arxiv.org/abs/2108.12627v1
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