A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images


A Comparative Benchmark of a Moroccan Darija Toxicity Detection Model (Typica.ai) and Major LLM-Based Moderation APIs (OpenAI, Mistral, Anthropic)


A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones


A Comparative Evaluation of Quantification Methods


A Comparative Measurement Study of Deep Learning as a Service Framework


A Comparative Study between HLS and HDL on SoC for Image Processing Applications


A Comparative Study of Algorithms for Intelligent Traffic Signal Control


A Comparative Study of CNN, ResNet, and Vision Transformers for Multi-Classification of Chest Diseases


A Comparative Study of Compartmental Models for COVID-19 Transmission in Ontario, Canada


A Comparative Study of Convolutional Neural Networks for the Detection of Strong Gravitational Lensing


A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems


A Comparative Study of Deep Reinforcement Learning Models: DQN vs PPO vs A2C


A Comparative Study of Deep Reinforcement Learning-based Transferable Energy Management Strategies for Hybrid Electric Vehicles


A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning


A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset


A Comparative Study of Feature Types for Age-Based Text Classification


A Comparative Study of Graph Matching Algorithms in Computer Vision


A Comparative Study of How People With and Without ADHD Recognise and Avoid Dark Patterns on Social Media


A Comparative Study of Human Motion Models in Reinforcement Learning Algorithms for Social Robot Navigation


A Comparative Study of Image Restoration Networks for General Backbone Network Design


A Comparative Study of Imputation Methods for Multivariate Ordinal Data


A Comparative Study of LLMs, NMT Models, and Their Combination in Persian-English Idiom Translation


A Comparative Study of Loss Functions: Traffic Predictions in Regular and Congestion Scenarios


A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint


A Comparative Study of Machine Learning Methods for X-ray Binary Classification


A Comparative Study of Machine Learning Models for Predicting the State of Reactive Mixing


A Comparative Study of Multiple Deep Learning Algorithms for Efficient Localization of Bone Joints in the Upper Limbs of Human Body


A Comparative Study of Perceptual Quality Metrics for Audio-driven Talking Head Videos


A Comparative Study of Population-Graph Construction Methods and Graph Neural Networks for Brain Age Regression


A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition


A Comparative Study of Pre-training and Self-training


A Comparative Study of Question Answering over Knowledge Bases


A Comparative Study of SMT and MILP for the Nurse Rostering Problem


A Comparative Study of Software Secrets Reporting by Secret Detection Tools


A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug Reports


A Comparative Study of Training Objectives for Clarification Facet Generation


A Comparative Study of Transformer-Based Models for Multi-Horizon Blood Glucose Prediction


A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification


A Comparative Study on Automatic Coding of Medical Letters with Explainability


A Comparative Study on Generative Models for High Resolution Solar Observation Imaging


A Comparative Study on Language Models for Task-Oriented Dialogue Systems


A Comparative Study on Proactive and Passive Detection of Deepfake Speech


A Comparative Study on Reasoning Patterns of OpenAI's o1 Model


A Comparative Study on Robust Graph Neural Networks to Structural Noises


A Comparative Study on Structural and Semantic Properties of Sentence Embeddings


A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models


A Comparative Survey of Deep Active Learning


A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning


A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization


A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks


A Comparison Between Tsetlin Machines and Deep Neural Networks in the Context of Recommendation Systems


A Comparison between Markov Switching Zero-inflated and Hurdle Models for Spatio-temporal Infectious Disease Counts


A Comparison of Bayesian Inference Techniques for Sparse Factor Analysis


A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification


A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology


A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring


A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes


A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion


A Comparison of Full Information Maximum Likelihood and Machine Learning Missing Data Analytical Methods in Growth Curve Modeling


A Comparison of Functional Principal Component Analysis Methods with Accelerometry Applications


A Comparison of HDF5, Zarr, and netCDF4 in Performing Common I/O Operations


A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives


A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks


A Comparison of Likelihood-Free Methods With and Without Summary Statistics


A Comparison of Machine Learning Algorithms for the Surveillance of Autism Spectrum Disorder


A Comparison of Machine Learning Methods for Data with High-Cardinality Categorical Variables


A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints


A Comparison of Methods for Adaptive Experimentation


A Comparison of Methods for Evaluating Generative IR


A Comparison of Named Entity Recognition Tools Applied to Biographical Texts


A Comparison of Neural Models for Word Ordering


A Comparison of Neural Networks for Wireless Channel Prediction


A Comparison of Parametric Dynamic Mode Decomposition Algorithms for Thermal-Hydraulics Applications


A Comparison of Prompt Engineering Techniques for Task Planning and Execution in Service Robotics


A Comparison of Question Rewriting Methods for Conversational Passage Retrieval


A Comparison of Reinforcement Learning Frameworks for Software Testing Tasks


A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem


A Comparison of Supervised Learning to Match Methods for Product Search


A Comparison of Supervised and Unsupervised Deep Learning Methods for Anomaly Detection in Images


A Comparison of Various Aggregation Functions in Multi-Criteria Decision Analysis for Drug Benefit-Risk Assessment


A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes


A Comparison of Virtual Analog Modelling Techniques for Desktop and Embedded Implementations


A Compendium on General Relativity for Undergraduate Students


A Competition Winning Deep Reinforcement Learning Agent in microRTS


A Competitive Method for Dog Nose-print Re-identification


A Compiler Framework for Optimizing Dynamic Parallelism on GPUs


A Compiler Infrastructure for Accelerator Generators


A Complementary Global and Local Knowledge Network for Ultrasound denoising with Fine-grained Refinement


A Complete Approach to Loop Verification with Invariants and Summaries


A Complete Decomposition of KL Error using Refined Information and Mode Interaction Selection


A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI


A Composable Coreset for k-Center in Doubling Metrics


A Composable Specification Language for Reinforcement Learning Tasks


A Compositional Framework for First-Order Optimization


A Compositional Typed Semantics for Universal Dependencies


A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems


A Compound Poisson Generator approach to Point-Source Inference in Astrophysics


A Comprehensive Analysis of Adapter Efficiency


A Comprehensive Analysis of Static Word Embeddings for Turkish


A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains


A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators


A Comprehensive Approach for UAV Small Object Detection with Simulation-based Transfer Learning and Adaptive Fusion


A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm


A Comprehensive Assessment of Dialog Evaluation Metrics


A Comprehensive Case Study on the Performance of Machine Learning Methods on the Classification of Solar Panel Electroluminescence Images


A Comprehensive Comparative Study of Individual ML Models and Ensemble Strategies for Network Intrusion Detection Systems


A Comprehensive Data Description for LoRaWAN Path Loss Measurements in an Indoor Office Setting: Effects of Environmental Factors


A Comprehensive Dataset and Automated Pipeline for Nailfold Capillary Analysis


A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2


A Comprehensive Empirical Evaluation on Online Continual Learning


A Comprehensive Empirical Investigation on Failure Clustering in Parallel Debugging


A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval


A Comprehensive End-to-End Computer Vision Framework for Restoration and Recognition of Low-Quality Engineering Drawings


A Comprehensive Evaluation of Android ICC Resolution Techniques


A Comprehensive Evaluation of Cognitive Biases in LLMs


A Comprehensive Evaluation of Four End-to-End AI Autopilots Using CCTest and the Carla Leaderboard


A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification


A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks


A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction


A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data


A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection


A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks


A Comprehensive Evaluation of Quantization Strategies for Large Language Models


A Comprehensive Evaluation on Event Reasoning of Large Language Models


A Comprehensive Framework for the Evaluation of Individual Treatment Rules From Observational Data


A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability


A Comprehensive Guide to Explainable AI: From Classical Models to LLMs


A Comprehensive Indoor Environment Dataset from Single-family Houses in the US


A Comprehensive Investigation of Environmental Influences on Galaxies in Group Environments


A Comprehensive Investigation of Metals in the Circumgalactic Medium of Nearby Dwarf Galaxies


A Comprehensive Multi-scale Approach for Speech and Dynamics Synchrony in Talking Head Generation


A Comprehensive Overview of Large Language Models


A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"


A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP


A Comprehensive Real-World Assessment of Audio Watermarking Algorithms: Will They Survive Neural Codecs?


A Comprehensive Review of 3D Object Detection in Autonomous Driving: Technological Advances and Future Directions


A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges


A Comprehensive Review of Protein Language Models


A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice


A Comprehensive Review on Hashtag Recommendation: From Traditional to Deep Learning and Beyond


A Comprehensive Simulation Framework for CXL Disaggregated Memory


A Comprehensive Study of Bloated Dependencies in the Maven Ecosystem


A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes


A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models


A Comprehensive Study of Knowledge Editing for Large Language Models


A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment


A Comprehensive Study of Structural Pruning for Vision Models


A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks


A Comprehensive Study on GDPR-Oriented Analysis of Privacy Policies: Taxonomy, Corpus and GDPR Concept Classifiers


A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning


A Comprehensive Study on Learning-Based PE Malware Family Classification Methods


A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction


A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning


A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT


A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models


A Comprehensive Survey of Continual Learning: Theory, Method and Application


A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents


A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning


A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective


A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications


A Comprehensive Survey of Evaluation Techniques for Recommendation Systems


A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning


A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges


A Comprehensive Survey of Logging in Software: From Logging Statements Automation to Log Mining and Analysis


A Comprehensive Survey of Mamba Architectures for Medical Image Analysis: Classification, Segmentation, Restoration and Beyond


A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications


A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future


A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery


A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness


A Comprehensive Survey of Synthetic Tabular Data Generation


A Comprehensive Survey on 3D Content Generation


A Comprehensive Survey on Composed Image Retrieval


A Comprehensive Survey on Continual Learning in Generative Models


A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects


A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions


A Comprehensive Survey on Evidential Deep Learning and Its Applications


A Comprehensive Survey on Graph Anomaly Detection with Deep Learning


A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era


A Comprehensive Survey on Human Video Generation: Challenges, Methods, and Insights


A Comprehensive Survey on Inverse Constrained Reinforcement Learning: Definitions, Progress and Challenges


A Comprehensive Survey on Knowledge Distillation


A Comprehensive Survey on Long Context Language Modeling


A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy, Evaluation, and Future Directions


A Comprehensive Survey on Self-Interpretable Neural Networks


A Comprehensive Survey on Self-Supervised Learning for Recommendation


A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts


A Comprehensive Survey on Video Saliency Detection with Auditory Information: the Audio-visual Consistency Perceptual is the Key!


A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer


A Comprehensive and Cross-Platform Test Suite for Memory Safety -- Towards an Open Framework for Testing Processor Hardware Supported Security Extensions


A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks


A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR)


A Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection


A Compressed Sensing Based Least Squares Approach to Semi-supervised Local Cluster Extraction


A Computational Acquisition Model for Multimodal Word Categorization


A Computational Analysis of Pitch Drift in Unaccompanied Solo Singing using DBSCAN Clustering


A Computational Analysis of Polarization on Indian and Pakistani Social Media


A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment


A Computational Approach for Checking Compliance with European View and Sunlight Exposure Criteria


A Computational Approach for Variational Integration of Attitude Dynamics on SO(3)


A Computational Approach for the Characterization of Airborne Pathogen Transmission in Turbulent Molecular Communication Channels


A Computational Approach to Homans Social Exchange Theory


A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts


A Computational Approach to Packet Classification


A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support


A Computational Framework for Behavioral Assessment of LLM Therapists


A Computational Framework for Modeling Emergence of Color Vision in the Human Brain


A Computational Framework for Simulations of Dissipative Non-Adiabatic Dynamics on Hybrid Oscillator-Qubit Quantum Devices


A Computational Framework for Slang Generation


A Computational Framework for Solving Wasserstein Lagrangian Flows


A Computational Information Criterion for Particle-Tracking with Sparse or Noisy Data


A Computational Interface to Translate Strategic Intent from Unstructured Language in a Low-Data Setting


A Computational Method for the Determination of the Elastic Displacement Field using Measured Elastic Deformation Field


A Computational Model of the Institutional Analysis and Development Framework


A Computational Pipeline for Advanced Analysis of 4D Flow MRI in the Left Atrium


A Computational Proof of the Highest-Scoring Boggle Board


A Computational Theory and Semi-Supervised Algorithm for Clustering


A Computational Topology-based Spatiotemporal Analysis Technique for Honeybee Aggregation


A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic


A Computationally Informed Realisation Algorithm for Lithium-Ion Batteries Implemented with LiiBRA.jl


A Computing Kernel for Network Binarization on PyTorch


A Conceptual Model for End-to-End Causal Discovery in Knowledge Tracing


A Concise Mathematical Description of Active Inference in Discrete Time


A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder


A Concise Tiling Strategy for Preserving Spatial Context in Earth Observation Imagery


A Concrete Model for the Quantum Permutation Group on 4 Points


A Concurrency-Agnostic Protocol for Multi-Paradigm Concurrent Debugging Tools


A Condense-then-Select Strategy for Text Summarization


A Conditional Cascade Model for Relational Triple Extraction


A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling


A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction


A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction


A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem


A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion


A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams


A Confidence Interval for the $\ell_2$ Expected Calibration Error


A Confidence Machine for Sparse High-Order Interaction Model


A Confidence-Based Approach for Balancing Fairness and Accuracy


A Confidence-Calibrated MOBA Game Winner Predictor


A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo


A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition


A Configurable Library for Generating and Manipulating Maze Datasets


A Conflict Resolution Dataset Derived from Argoverse-2: Analysis of the Safety and Efficiency Impacts of Autonomous Vehicles at Intersections


A Conformal Prediction Score that is Robust to Label Noise


A Conformalized Empirical Bayes Method for Multiple Testing with Side Information


A Conic Model for Electrolyzer Scheduling


A Conic Transformation Approach for Solving the Perspective-Three-Point Problem


A Conjecture on the Closed Form Formula for the Multi-Peg Tower of Hanoi Problem


A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning


A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning


A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels


A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration


A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs


A Consistent and Differentiable Lp Canonical Calibration Error Estimator


A Constrained Deformable Convolutional Network for Efficient Single Image Dynamic Scene Blind Deblurring with Spatially-Variant Motion Blur Kernels Estimation


A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control


A Constrained Optimisation Framework for Parameter Identification of the SIRD Model


A Constraint Programming Approach to Simultaneous Task Allocation and Motion Scheduling for Industrial Dual-Arm Manipulation Tasks


A Constructive Approach to Zauner's Conjecture via the Stark Conjectures


A Container-Based Workflow for Distributed Training of Deep Learning Algorithms in HPC Clusters


A Content-Based Novelty Measure for Scholarly Publications: A Proof of Concept


A Content-Driven Micro-Video Recommendation Dataset at Scale


A Context Aware Approach for Generating Natural Language Attacks


A Context-Aware Cutting Plane Selection Algorithm for Mixed-Integer Programming


A Context-Aware Feature Fusion Framework for Punctuation Restoration


A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection


A Context-Aware User-Item Representation Learning for Item Recommendation


A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution


A Context-Enhanced Framework for Sequential Graph Reasoning


A Contextual-Aware Position Encoding for Sequential Recommendation


A Continuous Action Space Tree search for INverse desiGn (CASTING) Framework for Materials Discovery


A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking


A Continuous Optimisation Benchmark Suite from Neural Network Regression


A Continuous Paradoxical Colouring Rule Using Group Action


A Continuous Relaxation for Discrete Bayesian Optimization


A Continuous Time Framework for Discrete Denoising Models


A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies


A Continuum of Physics-Based Lithium-Ion Battery Models Reviewed


A Contrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation


A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics


A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis


A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images


A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning


A Contrastive Learning Approach to Mitigate Bias in Speech Models


A Contrastive Learning Scheme with Transformer Innate Patches


A Contrastive Objective for Learning Disentangled Representations


A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation


A Contrastive Variational Graph Auto-Encoder for Node Clustering


A Control Approach for Nonlinear Stochastic State Uncertain Systems with Probabilistic Safety Guarantees


A Control-Centric Benchmark for Video Prediction


A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion Batteries


A Controllable Model of Grounded Response Generation


A Controlled Reevaluation of Coreference Resolution Models


A Controlled Study on Long Context Extension and Generalization in LLMs


A Convergent Finite Element Scheme for the Q-Tensor Model of Liquid Crystals Subjected to an Electric Field


A Convergent Off-Policy Temporal Difference Algorithm


A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data


A Convergent and Dimension-Independent Min-Max Optimization Algorithm


A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems


A Conversational Brain-Artificial Intelligence Interface


A Convex Formulation for Binary Tomography


A Convex Formulation of the Soft-Capture Problem


A Convex Optimization Approach to Compute Trapping Regions for Lossless Quadratic Systems


A Convex Optimization Approach to Radiation Treatment Planning with Dose Constraints


A Convex Reconstruction Model for X-ray Tomographic Imaging with Uncertain Flat-fields


A Convex Surrogate Operator for General Non-Modular Loss Functions


A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures


A Convolutional Neural Network Approach to the Classification of Engineering Models


A Convolutional Neural Network For Cosmic String Detection in CMB Temperature Maps


A Convolutional Neural Network into graph space


A Convolutional Vision Transformer for Semantic Segmentation of Side-Scan Sonar Data


A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning


A Cooperative Contactless Object Transport with Acoustic Robots


A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles


A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition


A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising


A Copula Statistic for Measuring Nonlinear Multivariate Dependence


A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation


A Corpus for Argumentative Writing Support in German


A Corpus for Multilingual Document Classification in Eight Languages


A Corpus for Named Entity Recognition in Chinese Novels with Multi-genres


A Corpus for Sentence-level Subjectivity Detection on English News Articles


A Corpus for Understanding and Generating Moral Stories


A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models


A Corrected Expected Improvement Acquisition Function Under Noisy Observations


A Corrected Score Function Framework for Modelling Circadian Gene Expression


A Cosine Similarity-based Method for Out-of-Distribution Detection


A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing


A Cost Analysis of Generative Language Models and Influence Operations


A Cost-Effective Cooperative Exploration and Inspection Strategy for Heterogeneous Aerial System


A Cost-Effective Framework for Preference Elicitation and Aggregation


A Cost-Effective, Scalable, and Portable IoT Data Infrastructure for Indoor Environment Sensing


A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation


A Counterfactual Collaborative Session-based Recommender System


A County-level Dataset for Informing the United States' Response to COVID-19


A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning


A Coupled Flow Approach to Imitation Learning


A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs


A Course Shared Task on Evaluating LLM Output for Clinical Questions


A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning


A Crash Course on Reinforcement Learning


A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles


A Credible and Robust approach to Ego-Motion Estimation using an Automotive Radar


A Critical Analysis of Classifier Selection in Learned Bloom Filters


A Critical Analysis of Recursive Model Indexes


A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains


A Critical Assessment of Solutions to the Galaxy Diversity Problem


A Critical Assessment of State-of-the-Art in Entity Alignment


A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio


A Critical Evaluation of AI Feedback for Aligning Large Language Models


A Critical Evaluation of Defenses against Prompt Injection Attacks


A Critical Investigation of Deep Reinforcement Learning for Navigation


A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching Algorithms


A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning


A Critical Study of What Code-LLMs (Do Not) Learn


A Critical Study on Data Leakage in Recommender System Offline Evaluation


A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment


A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression


A Cross Spatio-Temporal Pathology-based Lung Nodule Dataset


A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis


A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation


A Cross-Country Analysis of GDPR Cookie Banners and Flexible Methods for Scraping Them


A Cross-Domain Benchmark for Active Learning


A Cross-Domain Evaluation of Approaches for Causal Knowledge Extraction


A Cross-Domain Transferable Neural Coherence Model


A Cross-Genre Ensemble Approach to Robust Reddit Part of Speech Tagging


A Cross-Lingual Statutory Article Retrieval Dataset for Taiwan Legal Studies


A Cross-Linguistic Pressure for Uniform Information Density in Word Order


A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition


A Cross-Platform Execution Engine for the Quantum Intermediate Representation


A Cross-Residual Learning for Image Recognition


A Cross-Season Correspondence Dataset for Robust Semantic Segmentation


A Cross-Task Analysis of Text Span Representations


A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction


A Crosslingual Investigation of Conceptualization in 1335 Languages


A Crowd-based Evaluation of Abuse Response Strategies in Conversational Agents


A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline


A Cryogenic Tune and Match Circuit for Magnetic Resonance Microscopy at 15.2T


A Cryptoeconomic Traffic Analysis of Bitcoins Lightning Network


A Culturally-Aware Tool for Crowdworkers: Leveraging Chronemics to Support Diverse Work Styles


A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of Transformer Textual Models


A Curriculum-style Self-training Approach for Source-Free Semantic Segmentation


A Customized SAT-based Solver for Graph Coloring


A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling


A Cytology Dataset for Early Detection of Oral Squamous Cell Carcinoma


A DG/CR discretization for the variational phase-field approach to fracture


A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images


A DIRT-T Approach to Unsupervised Domain Adaptation


A DNN Framework for Learning Lagrangian Drift With Uncertainty


A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range


A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation


A DRL solution to help reduce the cost in waiting time of securing a traffic light for cyclists


A Dantzig-Wolfe Decomposition Method for Quasi-Variational Inequalities


A Data Cartography based MixUp for Pre-trained Language Models


A Data Mining Approach for Detecting Collusion in Unproctored Online Exams


A Data Science Approach for Honeypot Detection in Ethereum


A Data Science Pipeline for Algorithmic Trading: A Comparative Study of Applications for Finance and Cryptoeconomics


A Data Set and a Convolutional Model for Iconography Classification in Paintings


A Data Set of Internet Claims and Comparison of their Sentiments with Credibility


A Data Source for Reasoning Embodied Agents


A Data-Based Perspective on Transfer Learning


A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models


A Data-Centric Framework for Composable NLP Workflows


A Data-Centric Optimization Framework for Machine Learning


A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data


A Data-Centric Revisit of Pre-Trained Vision Models for Robot Learning


A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer


A Data-Driven Aggressive Autonomous Racing Framework Utilizing Local Trajectory Planning with Velocity Prediction


A Data-Driven Approach to Morphogenesis under Structural Instability


A Data-Driven Biophysical Computational Model of Parkinson's Disease based on Marmoset Monkeys


A Data-Driven Framework for Koopman Semigroup Estimation in Stochastic Dynamical Systems


A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning


A Data-Driven McMillan Degree Lower Bound


A Data-Driven Measure of Relative Uncertainty for Misclassification Detection


A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science


A Data-Driven Methodology for Considering Feasibility and Pairwise Likelihood in Deep Learning Based Guitar Tablature Transcription Systems


A Data-Driven Representation for Sign Language Production


A Data-Driven Search For Mid-Infrared Excesses Among Five Million Main-Sequence FGK Stars


A Data-Theoretic Approach to Identifying Violent Facial Expressions in Social Crime Contexts


A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction


A Data-driven Approach to Neural Architecture Search Initialization


A Data-driven Multi-fidelity Physics-informed Learning Framework for Smart Manufacturing: A Composites Processing Case Study


A Data-driven Recommendation Framework for Optimal Walker Designs


A Data-driven Spectral Model of Main Sequence Stars in Gaia DR3


A Data-driven Study of View Duration on YouTube


A Database for Research on Detection and Enhancement of Speech Transmitted over HF links


A Dataflow Analysis for Comparing and Reordering Predicate Arguments


A Datalog Hammer for Supervisor Verification Conditions Modulo Simple Linear Arithmetic


A Dataset Generation Toolbox for Dynamic Security Assessment: On the Role of the Security Boundary


A Dataset To Evaluate The Representations Learned By Video Prediction Models


A Dataset and Architecture for Visual Reasoning with a Working Memory


A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors


A Dataset and Baselines for Measuring and Predicting the Music Piece Memorability


A Dataset and Baselines for Multilingual Reply Suggestion


A Dataset and Baselines for Visual Question Answering on Art


A Dataset and Benchmark for Copyright Infringement Unlearning from Text-to-Image Diffusion Models


A Dataset and Benchmark for Hospital Course Summarization with Adapted Large Language Models


A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics


A Dataset and Framework for Learning State-invariant Object Representations


A Dataset and Model for Crossing Indian Roads


A Dataset and Model for Realistic License Plate Deblurring


A Dataset and Strong Baselines for Classification of Czech News Texts


A Dataset for Answering Time-Sensitive Questions


A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals' Navigation


A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip Arthroplasty


A Dataset for Evaluating Blood Detection in Hyperspectral Images


A Dataset for Greek Traditional and Folk Music: Lyra


A Dataset for Medical Instructional Video Classification and Question Answering


A Dataset for N-ary Relation Extraction of Drug Combinations


A Dataset for Physical and Abstract Plausibility and Sources of Human Disagreement


A Dataset for Plain Language Adaptation of Biomedical Abstracts


A Dataset for Spatiotemporal-Sensitive POI Question Answering


A Dataset for Speech Emotion Recognition in Greek Theatrical Plays


A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering


A Dataset for measuring reading levels in India at scale


A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment


A Dataset of Alt Texts from HCI Publications: Analyses and Uses Towards Producing More Descriptive Alt Texts of Data Visualizations in Scientific Papers


A Dataset of Full-Stack ITS-G5 DSRC Communications over Licensed and Unlicensed Bands Using a Large-Scale Urban Testbed


A Dataset of German Legal Documents for Named Entity Recognition


A Dataset of Hourly Sea Surface Temperature From Drifting Buoys


A Dataset of Human Motion Status Using IR-UWB Through-wall Radar


A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers


A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities


A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation


A Dataset of Naturally Occurring, Whole-Body Background Activity to Reduce Gesture Conflicts


A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications


A Dataset of Uniswap daily transaction indices by network


A Dataset of the Representatives Elected in France During the Fifth Republic


A Dataset on Malicious Paper Bidding in Peer Review


A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks


A De-raining semantic segmentation network for real-time foreground segmentation


A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities


A Decade of Evidence of Trend Following Investing in Cryptocurrencies


A Decade of Knowledge Graphs in Natural Language Processing: A Survey


A Decade of Scholarly Research on Open Knowledge Graphs


A Decade's Battle on Dataset Bias: Are We There Yet?


A Decentralized Approach to Bayesian Learning


A Decentralized Framework for Kernel PCA with Projection Consensus Constraints


A Decentralized Primal-Dual Framework for Non-convex Smooth Consensus Optimization


A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments


A Decision Diagram Operation for Reachability


A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection


A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework


A Declarative Goal-oriented Framework for Smart Environments with LPaaS


A Declarative System for Optimizing AI Workloads


A Declarative Validator for GSOS Languages


A Decoding Algorithm for Length-Control Summarization Based on Directed Acyclic Transformers


A Decomposition Model for Stereo Matching


A Decoupled Approach for Composite Sparse-plus-Smooth Penalized Optimization


A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation


A Deductive Verification Infrastructure for Probabilistic Programs (Extended Version)


A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences


A Deep Autoregressive Model for Dynamic Combinatorial Complexes


A Deep Bag-of-Features Model for Music Auto-Tagging


A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings


A Deep CNN Architecture with Novel Pooling Layer Applied to Two Sudanese Arabic Sentiment Datasets


A Deep Dive into Adversarial Robustness in Zero-Shot Learning


A Deep Dive into Bitcoin Mining Pools: An Empirical Analysis of Mining Shares


A Deep Dive into Perturbations as Evaluation Technique for Time Series XAI


A Deep Factorization of Style and Structure in Fonts


A Deep Generative Artificial Intelligence system to decipher species coexistence patterns


A Deep Generative Model for Code-Switched Text


A Deep Generative Model for Fragment-Based Molecule Generation


A Deep Generative Model for Semi-Supervised Classification with Noisy Labels


A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability


A Deep Journey into Super-resolution: A survey


A Deep Latent Space Model for Graph Representation Learning


A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces


A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge


A Deep Learning Approach for Active Anomaly Detection of Extragalactic Transients


A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values


A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications


A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching


A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs


A Deep Learning Approach to Probabilistic Forecasting of Weather


A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-rays


A Deep Learning Approach to Unsupervised Ensemble Learning


A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM Data


A Deep Learning Based Analysis-Synthesis Framework For Unison Singing


A Deep Learning Based Automatic Defect Analysis Framework for In-situ TEM Ion Irradiations


A Deep Learning Based Decoder for Concatenated Coding over Deletion Channels


A Deep Learning Ensemble Framework for Off-Nadir Geocentric Pose Prediction


A Deep Learning Framework for Assessing Physical Rehabilitation Exercises


A Deep Learning Framework for Disentangling Triangle Singularity and Pole-Based Enhancements


A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automation


A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces


A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms


A Deep Learning Framework to Reconstruct Face under Mask


A Deep Learning Loss Function based on Auditory Power Compression for Speech Enhancement


A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm


A Deep Learning Method for Comparing Bayesian Hierarchical Models


A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography


A Deep Learning Model for Chilean Bills Classification


A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images


A Deep Learning Neural Network Algorithm for Classification of Eclipsing Binary Light Curves


A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks


A Deep Learning based No-reference Quality Assessment Model for UGC Videos


A Deep Learning based approach to VM behavior identification in cloud systems


A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage


A Deep Learning-Based Approach for Mangrove Monitoring


A Deep Learning-Based Framework for Low Complexity Multi-User MIMO Precoding Design


A Deep Learning-Based Supervised Transfer Learning Framework for DOA Estimation with Array Imperfections


A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System


A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image


A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection


A Deep Learning-based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator


A Deep Metric Learning Approach to Account Linking


A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking


A Deep Neural Network Approach to Compact Source Removal


A Deep Neural Network Framework for Solving Forward and Inverse Problems in Delay Differential Equations


A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout


A Deep Neural Network Tool for Automatic Segmentation of Human Body Parts in Natural Scenes


A Deep Neural Network for SSVEP-based Brain-Computer Interfaces


A Deep Ordinal Distortion Estimation Approach for Distortion Rectification


A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation


A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification


A Deep Q-Learning Agent for the L-Game with Variable Batch Training


A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture


A Deep Recurrent Survival Model for Unbiased Ranking


A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions


A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards


A Deep Reinforcement Learning Approach for Finding Non-Exploitable Strategies in Two-Player Atari Games


A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone


A Deep Reinforcement Learning Approach to Audio-Based Navigation in a Multi-Speaker Environment


A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation


A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock Market


A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols in Mobile Networks


A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues


A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification using SpykeFlow


A Deep Variational Approach to Clustering Survival Data


A Deep-Learning Approach For Direct Whole-Heart Mesh Reconstruction


A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces


A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information


A Deeper Look into Convolutions via Eigenvalue-based Pruning


A Defect Taxonomy for Infrastructure as Code: A Replication Study


A Delay Metric for Video Object Detection: What Average Precision Fails to Tell


A Delphes card for the EIC yellow-report detector


A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds


A Demonstration of Over-the-Air Computation for Federated Edge Learning


A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation


A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing


A Dense Reward View on Aligning Text-to-Image Diffusion with Preference


A DenseNet-based method for decoding auditory spatial attention with EEG


A Dependable Distance Estimator to Black Hole Low-Mass X-ray Binaries


A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis


A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial


A Derivational ChainBank for Modern Standard Arabic


A Descriptor Is All You Need: Accurate Machine Learning of Nonadiabatic Coupling Vectors


A Desideratum for Conversational Agents: Capabilities, Challenges, and Future Directions


A Design Study on Adaptive Primaries for 1-2 Meter Class Telescopes


A Design and Analytic Strategy for Monitoring Disease Positivity and Case Characteristics in Accessible Closed Populations


A Detailed Audio-Text Data Simulation Pipeline using Single-Event Sounds


A Detailed Look At CNN-based Approaches In Facial Landmark Detection


A Detailed Look at the Most Obscured Galactic Nuclei in the Mid-Infrared


A Detailed Study of Interpretability of Deep Neural Network based Top Taggers


A Detector-oblivious Multi-arm Network for Keypoint Matching


A Deterministic Streaming Sketch for Ridge Regression


A Developer-Friendly Library for Smart Home IoT Privacy-Preserving Traffic Obfuscation


A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines


A Diachronic Perspective on User Trust in AI under Uncertainty


A Diagnostic Study of Explainability Techniques for Text Classification


A Diagnostic to Find and Help Combat Positivity Issues - with a Focus on Continuous Treatments


A Dialogue Game for Eliciting Balanced Collaboration


A Dictionary Based Approach for Removing Out-of-Focus Blur


A Dictionary of Closed-Form Kernel Mean Embeddings


A Dictionary-based Approach to Racism Detection in Dutch Social Media


A Diff-Attention Aware State Space Fusion Model for Remote Sensing Classification


A Differentiable Approach to Multi-scale Brain Modeling


A Differentiable Distance Approximation for Fairer Image Classification


A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos


A Differentiable Model of the Evolution of Dark Matter Halo Concentration


A Differentiable Neural-Network Force Field for Ionic Liquids


A Differentiable Point Process with Its Application to Spiking Neural Networks


A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation


A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift


A Differentiable, End-to-End Forward Model for 21 cm Cosmology: Estimating the Foreground, Instrument, and Signal Joint Posterior


A Differential Entropy Estimator for Training Neural Networks


A Differential Evolution Algorithm with Neighbor-hood Mutation for DOA Estimation


A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms


A Differentially Private Blockchain-Based Approach for Vertical Federated Learning


A Differentially Private Weighted Empirical Risk Minimization Procedure and its Application to Outcome Weighted Learning


A Differentially Private Wilcoxon Signed-Rank Test


A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization


A Diffusion Model for Event Skeleton Generation


A Diffusion Quantum Monte Carlo Approach to the Polaritonic Ground State


A Diffusion Weighted Graph Framework for New Intent Discovery


A Diffusion model for POI recommendation


A Diffusion-Based Approach for Simulating Forward-in-Time State-Dependent Speciation and Extinction Dynamics


A Diffusion-Based Generative Equalizer for Music Restoration


A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging


A Digital Twin for Telesurgery under Intermittent Communication


A Digital Twin of an Electrical Distribution Grid: SoCal 28-Bus Dataset


A Digital Twin-based Smart Home: A Proof of Concept Study


A Dilated Inception Network for Visual Saliency Prediction


A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images


A Direct Approach to Robust Deep Learning Using Adversarial Networks


A Direct-Style Effect Notation for Sequential and Parallel Programs


A Discontinuity Capturing Shallow Neural Network for Elliptic Interface Problems


A Discontinuous Galerkin Method for Simulating 3D Seismic Wave Propagation in Nonlinear Rock Models: Verification and Application to the 2015 Mw 7.8 Gorkha Earthquake


A Discontinuous Galerkin Solver in the FLASH Multi-Physics Framework


A Discontinuous Galerkin method for three-dimensional elastic and poroelastic wave propagation: forward and adjoint problems


A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents


A Discrepancy Aware Framework for Robust Anomaly Detection


A Discrete Hard EM Approach for Weakly Supervised Question Answering


A Discrete Perspective Towards the Construction of Sparse Probabilistic Boolean Networks


A Discrete Variational Recurrent Topic Model without the Reparametrization Trick


A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding


A Discriminative Channel Diversification Network for Image Classification


A Discriminative Latent-Variable Model for Bilingual Lexicon Induction


A Discussion on Solving Partial Differential Equations using Neural Networks


A Disease-Specific Foundation Model Using Over 100K Fundus Images: Release and Validation for Abnormality and Multi-Disease Classification on Downstream Tasks


A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews


A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning


A Disruptive Research Playbook for Studying Disruptive Innovations


A Distance for Geometric Graphs via the Labeled Merge Tree Interleaving Distance


A Distance for HMMs based on Aggregated Wasserstein Metric and State Registration


A Distant Supervision Corpus for Extracting Biomedical Relationships Between Chemicals, Diseases and Genes


A Distractor-Aware Memory for Visual Object Tracking with SAM2


A Distributed Approach for Persistent Homology Computation on a Large Scale


A Distributed Automatic Domain-Specific Multi-Word Term Recognition Architecture using Spark Ecosystem


A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems


A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale


A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm


A Distributed Method for Fitting Laplacian Regularized Stratified Models


A Distributed Optimization Framework to Regulate the Electricity Consumption of a Residential Neighborhood with Renewables


A Distributed Pipeline for Scalable, Deconflicted Formation Flying


A Distributed Synchronous SGD Algorithm with Global Top-$k$ Sparsification for Low Bandwidth Networks


A Distributed and Accountable Approach to Offline Recommender Systems Evaluation


A Distribution-Free Approach to Testing Models for Angular Power Spectra


A Distributional Analogue to the Successor Representation


A Distributionally Robust Optimization Approach for Unit Commitment in Microgrids


A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers


A Diversity-Aware Memetic Algorithm for the Linear Ordering Problem: Improving Best-Known Solutions for Standard Benchmarks


A Diversity-Enhanced Knowledge Distillation Model for Practical Math Word Problem Solving


A Divide-and-Conquer Algorithm for Disordered and Interacting Few-Particle Systems in One Dimension


A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization


A Divide-and-Conquer Approach to Persistent Homology


A Divide-and-Merge Point Cloud Clustering Algorithm for LiDAR Panoptic Segmentation


A Domain Adaptive Density Clustering Algorithm for Data with Varying Density Distribution


A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling


A Domain-Specific Language for Simulation-Based Testing of IoT Edge-to-Cloud Solutions


A Domain-Theoretic Framework for Robustness Analysis of Neural Networks


A Domain-adaptive Pre-training Approach for Language Bias Detection in News


A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative Data


A Double-Graph Based Framework for Frame Semantic Parsing


A Doubly Robust Framework for Addressing Outcome-Dependent Selection Bias in Multi-Cohort EHR Studies


A Doubly Stochastic Simulator with Applications in Arrivals Modeling and Simulation


A Dual Approximate Dynamic Programming Approach to Multi-stage Stochastic Unit Commitment


A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images


A Dual Domain Multi-exposure Image Fusion Network based on the Spatial-Frequency Integration


A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints


A Dual Semantic-Aware Recurrent Global-Adaptive Network For Vision-and-Language Navigation


A Dual Weighting Label Assignment Scheme for Object Detection


A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question Answering


A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation


A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation


A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict


A Dual-Cycled Cross-View Transformer Network for Unified Road Layout Estimation and 3D Object Detection in the Bird's-Eye-View


A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments


A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification


A Dual-Perspective Approach to Evaluating Feature Attribution Methods


A Dual-Perspective Metaphor Detection Framework Using Large Language Models


A Dual-Polarization Feature Fusion Network for Radar Automatic Target Recognition Based On HRRP Sequence


A Dual-Space Framework for General Knowledge Distillation of Large Language Models


A Dual-Task Synergy-Driven Generalization Framework for Pancreatic Cancer Segmentation in CT Scans


A Dual-View Approach to Classifying Radiology Reports by Co-Training


A Duet of Freeze-in and Freeze-out: Lepton-Flavored Dark Matter and Muon Colliders


A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services


A Dynamic Data Structure for Temporal Reachability with Unsorted Contact Insertions


A Dynamic Feedforward Control Strategy for Energy-efficient Building System Operation


A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution


A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration


A Dynamic Model Identification Package for the da Vinci Research Kit


A Dynamic Multi-Scale Voxel Flow Network for Video Prediction


A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution


A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents


A Dynamic Weighted Federated Learning for Android Malware Classification


A Dynamic and Cooperative Tracking System for Crowdfunding


A Dynamical Model for the Formation of Gas Rings and Episodic Starbursts Near Galactic Centres


A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks


A Dyson equation approach for averaging of classical and quantum observables on multiple realizations of Markov processes


A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals


A FAIR platform for reproducing mutational signature detection on tumor sequencing data


A FFT-accelerated multi-block finite-difference solver for massively parallel simulations of incompressible flows


A FOFE-based Local Detection Approach for Named Entity Recognition and Mention Detection


A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms


A Factor Graph-based approach to vehicle sideslip angle estimation


A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room


A Factored MDP Approach To Moving Target Defense With Dynamic Threat Modeling and Cost Efficiency


A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution


A Fair Empirical Risk Minimization with Generalized Entropy


A Fair Evaluation of Various Deep Learning-Based Document Image Binarization Approaches


A Fair Experimental Comparison of Neural Network Architectures for Latent Representations of Multi-Omics for Drug Response Prediction


A Fair Loss Function for Network Pruning


A Fair Ranking and New Model for Panoptic Scene Graph Generation


A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods


A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems


A Fairness-Oriented Reinforcement Learning Approach for the Operation and Control of Shared Micromobility Services


A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data


A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection


A Family of Inexact SQA Methods for Non-Smooth Convex Minimization with Provable Convergence Guarantees Based on the Luo-Tseng Error Bound Property


A Family of Pairwise Multi-Marginal Optimal Transports that Define a Generalized Metric


A Fast 3D CNN for Hyperspectral Image Classification


A Fast Algorithm for Computing Prefix Probabilities


A Fast Algorithm for PAC Combinatorial Pure Exploration


A Fast Algorithm for Quadrature by Expansion in Three Dimensions


A Fast Algorithm for Ranking Users by their Influence in Online Social Platforms


A Fast Algorithm for Scanning Transmission Electron Microscopy (STEM) Imaging and 4D-STEM Diffraction Simulations


A Fast Analytical Model for Predicting Battery Performance Under Mixed Kinetic Control


A Fast Bootstrap Algorithm for Causal Inference with Large Data


A Fast Control Plane for a Large-Scale and High-Speed Optical Circuit Switch System


A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation


A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework


A Fast Gradient Method for Nonnegative Sparse Regression with Self Dictionary


A Fast Integral Equation Method for the Two-Dimensional Navier-Stokes Equations


A Fast Interior Point Method for Atomic Norm Soft Thresholding


A Fast Maximum Clique Algorithm Based on Network Decomposition for Large Sparse Networks


A Fast Multitaper Power Spectrum Estimation in Nonuniformly Sampled Time Series


A Fast Periodicity Detection Algorithm Sensitive to Arbitrary Waveforms


A Fast Post-Training Pruning Framework for Transformers


A Fast Quantum Image Compression Algorithm based on Taylor Expansion


A Fast Randomized Algorithm for Computing an Approximate Null Space


A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning


A Fast Task Offloading Optimization Framework for IRS-Assisted Multi-Access Edge Computing System


A Fast Transformer-based General-Purpose Lossless Compressor


A Fast and Accurate Analytic Method of Calculating Galaxy Two-point Correlation Functions


A Fast and Accurate Numerical Method for the Left Tail of Sums of Independent Random Variables


A Fast and Accurate Pitch Estimation Algorithm Based on the Pseudo Wigner-Ville Distribution


A Fast and Accurate Vietnamese Word Segmenter


A Fast and Calibrated Computer Model Emulator: An Empirical Bayes Approach


A Fast and Effective Breakpoints Heuristic Algorithm for the Quadratic Knapsack Problem


A Fast and Efficient Near-Lossless Image Compression using Zipper Transformation


A Fast and Model Based Approach for Evaluating Task-Competence of Antagonistic Continuum Arms


A Fast and Provable Algorithm for Sparse Phase Retrieval


A Fast and Robust Method for Predicting the Phase Stability of Refractory Complex Concentrated Alloys using Pairwise Mixing Enthalpy


A Fast and Robust TSVM for Pattern Classification


A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models


A Fast and Scalable Polyatomic Frank-Wolfe Algorithm for the LASSO


A Fast, 2D Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization


A Fast, Analytic Empirical Model of the Gaia Data Release 3 Astrometric Orbit Catalog Selection Function


A Fast, Robust Elliptical Slice Sampling Implementation for Linearly Truncated Multivariate Normal Distributions


A Faster Algorithm for Finding Closest Pairs in Hamming Metric


A Faster Algorithm for Maximum Weight Matching on Unrestricted Bipartite Graphs


A Faster Branching Algorithm for the Maximum $k$-Defective Clique Problem


A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque


A Feasibility Study of Differentially Private Summary Statistics and Regression Analyses with Evaluations on Administrative and Survey Data


A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip


A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge Computing


A Feasibility-Preserved Quantum Approximate Solver for the Capacitated Vehicle Routing Problem


A Feasible Sequential Linear Programming Algorithm with Application to Time-Optimal Path Planning Problems


A Feature Generator for Few-Shot Learning


A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution


A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning


A Federated Approach for Hate Speech Detection


A Federated Approach to Predicting Emojis in Hindi Tweets


A Federated Framework for LLM-based Recommendation


A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison


A Federated Learning Benchmark for Drug-Target Interaction


A Federated Random Forest Solution for Secure Distributed Machine Learning


A Feedback Linearized Model Predictive Control Strategy for Input-Constrained Self-Driving Cars


A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example Detection


A Few More Examples May Be Worth Billions of Parameters


A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation


A Few-shot Approach to Resume Information Extraction via Prompts


A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint


A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits


A Field of Experts Prior for Adapting Neural Networks at Test Time


A Fine-Grained Classification of the Complexity of Evaluating the Tutte Polynomial on Integer Points Parameterized by Treewidth and Cutwidth


A Fine-Grained Sentiment Dataset for Norwegian


A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads


A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification


A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding


A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations


A Finite-State Controller Based Offline Solver for Deterministic POMDPs


A First Look at Bugs in LLM Inference Engines


A First Look at Kolmogorov-Arnold Networks in Surrogate-assisted Evolutionary Algorithms


A First Look at On-device Models in iOS Apps


A First Look at Selection Bias in Preference Elicitation for Recommendation


A First Look at the Crypto-Mining Malware Ecosystem: A Decade of Unrestricted Wealth


A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations


A First Ontological Model for the Description of the Art Market in the Semantic Web


A First Step Towards Content Protecting Plagiarism Detection


A First Step Towards Detecting Values-violating Defects in Android APIs


A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization


A Fisher matrix for gravitational-wave population inference


A Flag Decomposition for Hierarchical Datasets


A Fleet of Miniature Cars for Experiments in Cooperative Driving


A Flexible Framework for Anomaly Detection via Dimensionality Reduction


A Flexible Generative Framework for Graph-based Semi-supervised Learning


A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection


A Flexible MATLAB/Simulink Simulator for Robotic Floating-base Systems in Contact with the Ground


A Flexible Machine Learning-Aware Architecture for Future WLANs


A Flexible Multi-Metric Bayesian Framework for Decision-Making in Phase II Multi-Arm Multi-Stage Studies


A Flexible Multi-Task Model for BERT Serving


A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations with Linear Couplings


A Flexible Pipeline for Prediction of Tropical Cyclone Paths


A Flexible Plug-and-Play Module for Generating Variable-Length


A Flexible Procedure for Mixture Proportion Estimation in Positive-Unlabeled Learning


A Flexible Quasi-Copula Distribution for Statistical Modeling


A Flexible Recursive Network for Video Stereo Matching Based on Residual Estimation


A Flexible Template for Edge Generative AI with High-Accuracy Accelerated Softmax & GELU


A Flexible and Efficient Temporal Logic Tool for Python: PyTeLo


A Flexible and Intelligent Framework for Remote Health Monitoring Dashboards


A Flexible and Modular Body-Machine Interface for Individuals Living with Severe Disabilities


A Flexible and Scalable Approach for Collecting Wildlife Advertisements on the Web


A Flexible and Scalable Framework for Video Moment Search


A Flexible, Parallel, Adaptive Geometric Multigrid method for FEM


A Flow-Based Generative Model for Rare-Event Simulation


A Flow-Based Model for Conditional and Probabilistic Electricity Consumption Profile Generation and Prediction


A Flying Bird Object Detection Method for Surveillance Video


A Focused Study on Sequence Length for Dialogue Summarization


A Focusing Framework for Testing Bi-Directional Causal Effects with GWAS Summary Data


A Forecast for Large Scale Structure Constraints on Horndeski Gravity with Line Intensity Mapping


A Forensic Methodology for Detecting Image Manipulations


A Formal Framework for Naturally Specifying and Verifying Sequential Algorithms


A Formal Framework for Understanding Length Generalization in Transformers


A Formal Metareasoning Model of Concurrent Planning and Execution


A Formal Model for Artificial Intelligence Applications in Automation Systems


A Formal Perspective on Byte-Pair Encoding


A Formal Proof of the Irrationality of $ζ(3)$


A Formal Proof of the Irrationality of $ζ(3)$ in Lean 4


A Formalisation of Abstract Argumentation in Higher-Order Logic


A Formalization of Martingales in Isabelle/HOL


A Formalization of Unique Solutions of Equations in Process Algebra


A Formally Verified Configuration for Hardware Security Modules in the Cloud


A Formula for the Möbius function of the Permutation Poset Based on a Topological Decomposition


A Forward Backward Greedy approach for Sparse Multiscale Learning


A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition


A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts


A Foundation Model for Chemical Design and Property Prediction


A Foundation Model for General Moving Object Segmentation in Medical Images


A Foundation Model for Music Informatics


A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra


A Fourier Explanation of AI-music Artifacts


A Fourier method for the determination of focus for telescopes with stars


A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces


A Fourier-based Framework for Domain Generalization


A Fourth Planet in the Kepler-51 System Revealed by Transit Timing Variations


A Fractional Graph Laplacian Approach to Oversmoothing


A Framework For Sharing Publicly Available Data To Inform The COVID-19 Outbreak in Africa: A South African Case Study


A Framework and Benchmark for Deep Batch Active Learning for Regression


A Framework and a python-package for Real-time NMPC parameters settings


A Framework for Adapting Human-Robot Interaction to Diverse User Groups


A Framework for Analysis of DEC Approximations to Hodge-Laplacian Problems using Generalized Whitney Forms


A Framework for Auditable Synthetic Data Generation


A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces


A Framework for Bilevel Optimization on Riemannian Manifolds


A Framework for Blockchain Interoperability and Runtime Selection


A Framework for Carbon-aware Real-Time Workload Management in Clouds using Renewables-driven Cores


A Framework for Checkpointing and Recovery of Hierarchical Cyber-Physical Systems


A Framework for Controllable Pareto Front Learning with Completed Scalarization Functions and its Applications


A Framework for Covariate Balance using Bregman Distances


A Framework for Easing the Development of Applications Embedding Answer Set Programming


A Framework for Effective Invocation Methods of Various LLM Services


A Framework for Efficient Memory Utilization in Online Conformance Checking


A Framework for End-to-End Learning on Semantic Tree-Structured Data


A Framework for Evaluating PM2.5 Forecasts from the Perspective of Individual Decision Making


A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning


A Framework for Evaluation of Machine Reading Comprehension Gold Standards


A Framework for Event-based Computer Vision on a Mobile Device


A Framework for Explainable Concept Drift Detection in Process Mining


A Framework for Extracting and Encoding Features from Object-Centric Event Data


A Framework for Fast Image Deconvolution with Incomplete Observations


A Framework for Fast Polarity Labelling of Massive Data Streams


A Framework for Few-Shot Policy Transfer through Observation Mapping and Behavior Cloning


A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors


A Framework for Generalization and Transportation of Causal Estimates Under Covariate Shift


A Framework for Generating Informative Benchmark Instances


A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023


A Framework for Imbalanced Time-series Forecasting


A Framework for Inference Inspired by Human Memory Mechanisms


A Framework for Inherently Interpretable Optimization Models


A Framework for Integrating Gesture Generation Models into Interactive Conversational Agents


A Framework for Learning Ante-hoc Explainable Models via Concepts


A Framework for Learning Behavior Trees in Collaborative Robotic Applications


A Framework for Learning Predator-prey Agents from Simulation to Real World


A Framework for Learning from Demonstration with Minimal Human Effort


A Framework for Mediation Analysis with Multiple Exposures, Multivariate Mediators, and Non-Linear Response Models


A Framework for Modeling, Analyzing, and Decision-Making in Disease Spread Dynamics and Medicine/Vaccine Distribution


A Framework for Modelling, Verification and Transformation of Concurrent Imperative Programs


A Framework for Multisensory Foresight for Embodied Agents


A Framework for Neural Network Pruning Using Gibbs Distributions


A Framework for Neurosymbolic Robot Action Planning using Large Language Models


A Framework for Online Investment Algorithms


A Framework for Parallel and Distributed Training of Neural Networks


A Framework for Predicting the Impact of Game Balance Changes through Meta Discovery


A Framework for Quantum Finite-State Languages with Density Mapping


A Framework for Real-Time Volcano-Seismic Event Recognition Based on Multi-Station Seismograms and Semantic Segmentation Models


A Framework for Reproducible Benchmarking and Performance Diagnosis of SLAM Systems


A Framework for Risk Assessment and Optimal Line Upgrade Selection to Mitigate Wildfire Risk


A Framework for Sample Efficient Interval Estimation with Control Variates


A Framework for Standardizing Similarity Measures in a Rapidly Evolving Field


A Framework for Statistical Inference via Randomized Algorithms


A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization


A Framework for Supporting the Reproducibility of Computational Experiments in Multiple Scientific Domains


A Framework for Synthetic Power System Dynamics


A Framework for Uncertainty Estimation in Seismology Data Processing with Application to Extract Rayleigh Wave Dispersion Curves from Noise Cross-correlation Functions


A Framework for Understanding Selection Bias in Real-World Healthcare Data


A Framework for Understanding and Visualizing Strategies of RL Agents


A Framework for Visually Realistic Multi-robot Simulation in Natural Environment


A Framework for testing Federated Learning algorithms using an edge-like environment


A Framework for the Construction of Generative Models for Mesoscale Structure in Multilayer Networks


A Framework of Data Assimilation for Wind Flow Fields by Physics-informed Neural Networks


A Framework of Dynamic Data Structures for String Processing


A Framework of Inertial Alternating Direction Method of Multipliers for Non-Convex Non-Smooth Optimization


A Framework to Assess Knowledge Graphs Accountability


A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks


A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm


A Framework to Formulate Pathfinding Problems for Quantum Computing


A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection


A Framework to Learn with Interpretation


A Frank-Wolfe Algorithm for Oracle-based Robust Optimization


A Frequency Domain Approach to Predict Power System Transients


A Frequency-aware Software Cache for Large Recommendation System Embeddings


A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms


A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check


A Frustratingly Simple Decoding Method for Neural Text Generation


A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1


A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware?


A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification


A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques


A Full-System Simulation Framework for CXL-Based SSD Memory System


A Full-fledged Commit Message Quality Checker Based on Machine Learning


A Fully Automated Integral Field Spectrograph Pipeline for the SEDMachine: pysedm


A Fully Convolutional Two-Stream Fusion Network for Interactive Image Segmentation


A Fully Dynamic Algorithm for k-Regret Minimizing Sets


A Fully General, Non-Perturbative Treatment of Impulsive Heating


A Fully Generative Motivational Interviewing Counsellor Chatbot for Moving Smokers Towards the Decision to Quit


A Fully Implicit Method for Robust Frictional Contact Handling in Elastic Rods


A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model


A Fully Pipelined FIFO Based Polynomial Multiplication Hardware Architecture Based On Number Theoretic Transform


A Fully Quantum-Mechanical Treatment for Kaolinite


A Fully Tensorized Recurrent Neural Network


A Fully Time-domain Neural Model for Subband-based Speech Synthesizer


A Fully-dynamic Approximation Algorithm for Maximum Weight b-Matchings in Graphs


A Functional Abstraction of Typed Invocation Contexts


A Functional Data Perspective and Baseline On Multi-Layer Out-of-Distribution Detection


A Functional Extension of Semi-Structured Networks


A Functional Information Perspective on Model Interpretation


A Functional Safety Assessment Method for Cooperative Automotive Architecture


A Fundamental Probabilistic Fuzzy Logic Framework Suitable for Causal Reasoning


A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment


A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution


A Fusion-based Gender Recognition Method Using Facial Images


A Fuzzy Approach to Project Success: Measuring What Matters


A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure


A GAN-Enhanced Deep Learning Framework for Rooftop Detection from Historical Aerial Imagery


A GAN-Like Approach for Physics-Based Imitation Learning and Interactive Character Control


A GARCH model with two volatility components and two driving factors


A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming


A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield Prediction


A GNSS Aided Initial Alignment Method for MEMS-IMU Based on Backtracking Algorithm and Backward Filtering


A GPU Implementation of Multi-Guiding Spark Fireworks Algorithm for Efficient Black-Box Neural Network Optimization


A GPU accelerated mixed-precision Smoothed Particle Hydrodynamics framework with cell-based relative coordinates


A GPU compatible quasi-Monte Carlo integrator interfaced to pySecDec


A GPU-Parallelized Interpolation-Based Fast Multipole Method for the Relativistic Space-Charge Field Calculation


A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking


A GPU-accelerated computational fluid dynamics solver for assessing shear-driven indoor airflow and virus transmission by scale-resolved simulations


A GPU-accelerated viewer for HEALPix maps


A GPU-based Hydrodynamic Simulator with Boid Interactions


A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models


A GREAT Architecture for Edge-Based Graph Problems Like TSP


A GREAT model comparison against the cosmological constant


A Gaia Data Release 3 View on the Tip of the Red Giant Branch Luminosity


A Gaia early DR3 mock stellar catalog: Galactic prior and selection function


A Galaxy-Halo Model for Multiple Cosmological Tracers


A Galaxy-Scale Fountain of Cold Molecular Gas Pumped by a Black Hole


A Game Characterization for Contrasimilarity


A Game Generative Network Framework with its Application to Relationship Inference


A Game Theoretic Approach to Class-wise Selective Rationalization


A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees


A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs


A Game-Theoretic Framework for Coexistence of WiFi and Cellular Networks in the 6-GHz Unlicensed Spectrum


A Game-Theoretic Framework for Joint Forecasting and Planning


A Game-Theoretic Framework for Multi-Period-Multi-Company Demand Response Management in the Smart Grid


A Gamma-Poisson Mixture Topic Model for Short Text


A Gated Cross-domain Collaborative Network for Underwater Object Detection


A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts


A Gated Self-attention Memory Network for Answer Selection


A Gated and Bifurcated Stacked U-Net Module for Document Image Dewarping


A Gating Model for Bias Calibration in Generalized Zero-shot Learning


A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks


A Gaussian Process Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations


A Gaussian Process Model for Opponent Prediction in Autonomous Racing


A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers


A Gaussian Sliding Windows Regression Model for Hydrological Inference


A Gaussian mixture model representation of endmember variability in hyperspectral unmixing


A Gaussian process based approach for validation of multi-variable measurement systems: application to SAR measurement systems


A Gaze into the Internal Logic of Graph Neural Networks, with Logic


A General Albedo Recovery Approach for Aerial Photogrammetric Images through Inverse Rendering


A General Approach for Computing a Consensus in Group Decision Making That Integrates Multiple Ethical Principles


A General Contextualized Rewriting Framework for Text Summarization


A General Deep Learning Framework for Network Reconstruction and Dynamics Learning


A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design


A General Framework For Detecting Anomalous Inputs to DNN Classifiers


A General Framework for Data-Use Auditing of ML Models


A General Framework for Design-Based Treatment Effect Estimation in Paired Cluster-Randomized Experiments


A General Framework for Inference-time Scaling and Steering of Diffusion Models


A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions


A General Framework for Jersey Number Recognition in Sports Video


A General Framework for Lifelong Localization and Mapping in Changing Environment


A General Framework for Multivariate Functional Principal Component Analysis of Amplitude and Phase Variation


A General Framework for Pairwise Unbiased Learning to Rank


A General Framework for Producing Interpretable Semantic Text Embeddings


A General Framework for Property-Driven Machine Learning


A General Framework for Structured Learning of Mechanical Systems


A General Framework for Symmetric Property Estimation


A General Framework for User-Guided Bayesian Optimization


A General Framework for Visualizing Embedding Spaces of Neural Survival Analysis Models Based on Angular Information


A General Framework for the Practical Disintegration of PAC-Bayesian Bounds


A General Framework to Enhance Fine-tuning-based LLM Unlearning


A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition


A General Knowledge Injection Framework for ICD Coding


A General Language for Modeling Social Media Account Behavior


A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning


A General Machine Learning Framework for Survival Analysis


A General Multi-agent Epistemic Planner Based on Higher-order Belief Change


A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network


A General Neural Network Potential for Energetic Materials with C, H, N, and O elements


A General Optimization Framework for Dynamic Time Warping


A General Pipeline for Glomerulus Whole-Slide Image Segmentation


A General Protocol to Probe Large Vision Models for 3D Physical Understanding


A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation


A General Purpose Approximation to the Ferguson-Klass Algorithm for Sampling from Lévy Processes Without Gaussian Components


A General Recipe for Likelihood-free Bayesian Optimization


A General Relationship between Optimality Criteria and Connectivity Indices for Active Graph-SLAM


A General and Efficient Training for Transformer via Token Expansion


A General, Differentiable Transit Model for Ellipsoidal Occulters: Derivation, Application, and Forecast of Planetary Oblateness and Obliquity Constraints with JWST


A General, Evolution-Inspired Reward Function for Social Robotics


A General-Purpose Multilingual Document Encoder


A Generalised Approach for Encoding and Reasoning with Qualitative Theories in Answer Set Programming


A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images


A Generalised Signature Method for Multivariate Time Series Feature Extraction


A Generalised and Adaptable Reinforcement Learning Stopping Method


A Generalist Audio Foundation Model for Comprehensive Body Sound Auscultation


A Generalist FaceX via Learning Unified Facial Representation


A Generalizability Score for Aggregate Causal Effect


A Generalizable Anomaly Detection Method in Dynamic Graphs


A Generalizable Approach to Learning Optimizers


A Generalizable Model-and-Data Driven Approach for Open-Set RFF Authentication


A Generalizable Physics-informed Learning Framework for Risk Probability Estimation


A Generalization of Convolutional Neural Networks to Graph-Structured Data


A Generalization of Ripley's K Function for the Detection of Spatial Clustering in Areal Data


A Generalization of Transformer Networks to Graphs


A Generalization of the Convolution Theorem and its Connections to Non-Stationarity and the Graph Frequency Domain


A Generalization of the Riccati Recursion for Equality-Constrained Linear Quadratic Optimal Control


A Generalization of the Shortest Path Problem to Graphs with Multiple Edge-Cost Estimates


A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation


A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation


A Generalized CUR decomposition for matrix pairs


A Generalized Circuit for the Hamiltonian Dynamics Through the Truncated Series


A Generalized Difference-in-Differences Estimator for Randomized Stepped-Wedge and Observational Staggered Adoption Settings


A Generalized Expression for Accelerating Beamlet Decomposition Simulations


A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach


A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods


A Generalized Framework for Microstructural Optimization using Neural Networks


A Generalized Framework for Video Instance Segmentation


A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models


A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling


A Generalized Hierarchical Nonnegative Tensor Decomposition


A Generalized Knockoff Procedure for FDR Control in Structural Change Detection


A Generalized Latent Factor Model Approach to Mixed-data Matrix Completion with Entrywise Consistency


A Generalized Mixture Cure Model Incorporating Known Cured Individuals


A Generalized Multiscale Bundle-Based Hyperspectral Sparse Unmixing Algorithm


A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image Enhancement


A Generalized Robotic Handwriting Learning System based on Dynamic Movement Primitives (DMPs)


A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization


A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation


A Generalized Theory of Mixup for Structure-Preserving Synthetic Data


A Generalized Thrust Estimation and Control Approach for Multirotors Micro Aerial Vehicles


A Generalized Unscented Transformation for Probability Distributions


A Generalized Web Component for Domain-Independent Smart Assistants


A Generative Approach for Financial Causality Extraction


A Generative Approach for Mitigating Structural Biases in Natural Language Inference


A Generative Approach for Production-Aware Industrial Network Traffic Modeling


A Generative Approach for Script Event Prediction via Contrastive Fine-tuning


A Generative Approach for Wikipedia-Scale Visual Entity Recognition


A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference


A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation


A Generative Framework for Self-Supervised Facial Representation Learning


A Generative Framework for Zero-Shot Learning with Adversarial Domain Adaptation


A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis


A Generative Model Based Honeypot for Industrial OPC UA Communication


A Generative Model for Extrapolation Prediction in Materials Informatics


A Generative Model for Joint Natural Language Understanding and Generation


A Generative Model for Molecular Distance Geometry


A Generative Model of Symmetry Transformations


A Generative Modeling Approach to Reconstructing 21-cm Tomographic Data


A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping


A Generative Product-of-Filters Model of Audio


A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems


A Generative Variational Model for Inverse Problems in Imaging


A Generative-AI-Driven Claim Retrieval System Capable of Detecting and Retrieving Claims from Social Media Platforms in Multiple Languages


A Generator for Generalized Inverse Gaussian Distributions


A Generic Acceleration Framework for Stochastic Composite Optimization


A Generic Approach for Reproducible Model Distillation


A Generic Framework and Library for Exploration of Small Multiples through Interactive Piling


A Generic Framework for Conformal Fairness


A Generic Framework for Engineering Graph Canonization Algorithms


A Generic Framework for Hidden Markov Models on Biomedical Data


A Generic Graph Sparsification Framework using Deep Reinforcement Learning


A Generic Inverted Index Framework for Similarity Search on the GPU - Technical Report


A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning


A Generic Network Compression Framework for Sequential Recommender Systems


A Generic Solver for Unconstrained Control Problems with Integral Functional Objectives


A Generic Trajectory Planning Method for Constrained All-Wheel-Steering Robots


A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI


A Genetic Algorithm Meta-Heuristic for a Generalized Quadratic Assignment Problem


A Genetic Fuzzy System for Interpretable and Parsimonious Reinforcement Learning Policies


A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research


A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification


A Geometric Algorithm for Tubular Shape Reconstruction from Skeletal Representation


A Geometric Analysis of Neural Collapse with Unconstrained Features


A Geometric Approach to Obtain a Bird's Eye View from an Image


A Geometric Explanation of the Likelihood OOD Detection Paradox


A Geometric Framework for Stochastic Shape Analysis


A Geometric Method for Improved Uncertainty Estimation in Real-time


A Geometric Perspective for High-Dimensional Multiplex Graphs


A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition


A Geometric Tension Dynamics Model of Epithelial Convergent Extension


A Geometry-Sensitive Approach for Photographic Style Classification


A Geometry-based Stochastic Wireless Channel Model using Channel Images


A Gibbs Sampler for Multivariate Linear Regression


A Gibbs sampler for a class of random convex polytopes


A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise


A Gis Aided Approach for Geolocalizing an Unmanned Aerial System Using Deep Learning


A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia


A Global Correction to PPMXL Proper Motions


A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection


A Global-local Attention Framework for Weakly Labelled Audio Tagging


A Global-scale Database of Seismic Phases from Cloud-based Picking at Petabyte Scale


A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions


A Globally Convergent Gradient Method with Momentum


A Globally Convergent Method for Computing B-stationary Points of Mathematical Programs with Equilibrium Constraints


A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Networks


A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems


A Golden Age: Conspiracy Theories' Relationship with Misinformation Outlets, News Media, and the Wider Internet


A Good Foundation is Worth Many Labels: Label-Efficient Panoptic Segmentation


A Good Image Generator Is What You Need for High-Resolution Video Synthesis


A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models


A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models


A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks


A Gradient Flow Framework For Analyzing Network Pruning


A Graduated Filter Method for Large Scale Robust Estimation


A Grammar-Based Structural CNN Decoder for Code Generation


A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video


A Graph Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction


A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction


A Graph Dynamics Prior for Relational Inference


A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs


A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps


A Graph Neural Network Simulation of Dispersed Systems


A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models