Altered Topological Structure of the Brain White Matter in Maltreated Children through Topological Data Analysis


Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation


Alternate Loss Functions for Classification and Robust Regression Can Improve the Accuracy of Artificial Neural Networks


Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models


Alternately denoising and reconstructing unoriented point sets


Alternating Differentiation for Optimization Layers


Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization


Alternating Layered Variational Quantum Circuits Can Be Classically Optimized Efficiently Using Classical Shadows


Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations


Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes


Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise


Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems


Alternating Minimization for Regression with Tropical Rational Functions


Alternating Synthetic and Real Gradients for Neural Language Modeling


Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing


Alternating minimization algorithms for graph regularized tensor completion


Alternating mixed-integer programming and neural network training for approximating stochastic two-stage problems


Alternating quarantine for sustainable epidemic mitigation


Alternating the Population and Control Neural Networks to Solve High-Dimensional Stochastic Mean-Field Games


Alternative Approaches for Estimating Highest-Density Regions


Alternative Asymptotics and the Partially Linear Model with Many Regressors


Alternative Telescopic Displacement: An Efficient Multimodal Alignment Method


Alternative angular variables for suppression of QCD multijet events in new physics searches with missing transverse momentum at the LHC


Alternative ranking measures to predict international football results


Alternatives to Contour Visualizations for Power Systems Data


Alternatives to the EM Algorithm for ML-Estimation of Location, Scatter Matrix and Degree of Freedom of the Student-$t$ Distribution


Altruist: Argumentative Explanations through Local Interpretations of Predictive Models


Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning


Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal


Always Clear Depth: Robust Monocular Depth Estimation under Adverse Weather


Always Keep your Target in Mind: Studying Semantics and Improving Performance of Neural Lexical Substitution


Always-Sparse Training by Growing Connections with Guided Stochastic Exploration


Alzheimer's Disease Brain MRI Classification: Challenges and Insights


Alzheimer's disease detection in PSG signals


Am I eligible? Natural Language Inference for Clinical Trial Patient Recruitment: the Patient's Point of View


AmCLR: Unified Augmented Learning for Cross-Modal Representations


AmadeusGPT: a natural language interface for interactive animal behavioral analysis


Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud


Amalgamating Different JIT Compilations in a Meta-tracing JIT Compiler Framework


Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud


Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation


AmazonQA: A Review-Based Question Answering Task


AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference


AmbiFC: Fact-Checking Ambiguous Claims with Evidence


AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment


AmbiPun: Generating Humorous Puns with Ambiguous Context


AmbieGen: A Search-based Framework for Autonomous Systems Testing


Ambient Diffusion Omni: Training Good Models with Bad Data


Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data


Ambient Diffusion: Learning Clean Distributions from Corrupted Data


Ambient Forcing: Sampling Local Perturbations in Constrained Phase Spaces


Ambient Noise Full Waveform Inversion with Neural Operators


Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions


Ambigram Generation by A Diffusion Model


Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation


Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection


Ambush from All Sides: Understanding Security Threats in Open-Source Software CI/CD Pipelines


Amendable Generation for Dialogue State Tracking


American Sign Language Handshapes Reflect Pressures for Communicative Efficiency


American cultural regions mapped through the lexical analysis of social media


American postdoctoral salaries do not account for growing disparities in cost of living


Americans' Support for AI Development -- Measured Daily with Open Data and Methods


AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages


Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages


Amirkabir campus dataset: Real-world challenges and scenarios of Visual Inertial Odometry (VIO) for visually impaired people


Ammunition Component Classification Using Deep Learning


Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection


Amnesty Policy and Elite Persistence in the Postbellum South: Evidence from a Regression Discontinuity Design


Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity


Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline


Amodal Ground Truth and Completion in the Wild


Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark


Amodal Segmentation Based on Visible Region Segmentation and Shape Prior


Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model


Amoeba: An AGN Model of Optical Emissions Beyond steady-state Accretion discs


Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning


AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment


Among Them: A game-based framework for assessing persuasion capabilities of LLMs


Among Us: Adversarially Robust Collaborative Perception by Consensus


AmorLIP: Efficient Language-Image Pretraining via Amortization


AmorProt: Amino Acid Molecular Fingerprints Repurposing based Protein Fingerprint


Amortised Inference in Bayesian Neural Networks


Amortised Invariance Learning for Contrastive Self-Supervision


Amortising Variational Bayesian Inference over prior hyperparameters with a Normalising Flow


Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation


Amortized Bayesian Decision Making for simulation-based models


Amortized Bayesian Experimental Design for Decision-Making


Amortized Bayesian Inference of GISAXS Data with Normalizing Flows


Amortized Bethe Free Energy Minimization for Learning MRFs


Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series


Amortized Equation Discovery in Hybrid Dynamical Systems


Amortized Generation of Sequential Algorithmic Recourses for Black-box Models


Amortized Inference for Causal Structure Learning


Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels


Amortized Planning with Large-Scale Transformers: A Case Study on Chess


Amortized Rejection Sampling in Universal Probabilistic Programming


Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs


Amortized Simulation-Based Frequentist Inference for Tractable and Intractable Likelihoods


Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate


Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design


Amortized variational transdimensional inference


Amortizing Pragmatic Program Synthesis with Rankings


Amortizing intractable inference in diffusion models for vision, language, and control


Amortizing intractable inference in large language models


Amortizing personalization in virtual brain twins


Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale


AmphibianDetector: adaptive computation for moving objects detection


AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection


Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness


Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting


Amplifying Membership Exposure via Data Poisoning


Amplifying Training Data Exposure through Fine-Tuning with Pseudo-Labeled Memberships


Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs


Amplitude Basis for Conformal Correlators


Amplitude Estimation from Quantum Signal Processing


Amplitude Mean of Functional Data on $\mathbb{S}^2$


Amplitude response and square wave describing functions


Amplitude-Phase Fusion for Enhanced Electrocardiogram Morphological Analysis


Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain


Amplitude/Operator Basis in Chiral Perturbation Theory


Amplitudes and Polarizations of Quadratic Quasi-Normal Modes for a Schwarzschild Black Hole


AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift


An $\mathcal{O}(\log_2N)$ SMC$^2$ Algorithm on Distributed Memory with an Approx. Optimal L-Kernel


An $\mathcal{O}(n)$ Space Construction of Superpermutations


An 18-25 GHz spectroscopic survey of dense cores in the Chamaeleon I molecular cloud


An 808 Line Phasor-Based Dehomogenisation Matlab Code For Multi-Scale Topology Optimisation


An A*-algorithm for the Unordered Tree Edit Distance with Custom Costs


An ADMM Algorithm for Structure Learning in Equilibrium Networks


An AI Chatbot for Explaining Deep Reinforcement Learning Decisions of Service-oriented Systems


An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited Data


An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis


An AI-Powered VVPAT Counter for Elections in India


An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes


An AMR Aligner Tuned by Transition-based Parser


An AMR-based Link Prediction Approach for Document-level Event Argument Extraction


An AO-ADMM approach to constraining PARAFAC2 on all modes


An Abaqus UEL implementation of the smoothed finite element method


An Absorption Correction for Reliable Pair-Distribution Functions from Low Energy X-ray Sources


An Abstract Machine for Strong Call by Value


An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness


An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization


An Accelerated Communication-Efficient Primal-Dual Optimization Framework for Structured Machine Learning


An Accelerated DC Programming Approach with Exact Line Search for The Symmetric Eigenvalue Complementarity Problem


An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums


An Accelerated Failure Time Regression Model for Illness-Death Data: A Frailty Approach


An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization


An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem


An Accelerator for Rule Induction in Fuzzy Rough Theory


An Accelerometer Based Calculator for Visually Impaired People Using Mobile Devices


An Accessible Instrument for Measuring Soft Material Mechanical Properties


An Accessible Toolkit for 360 VR Studies


An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning


An Accurate Computational Approach for Partial Likelihood Using Poisson-Binomial Distributions


An Accurate P$^{3}$M Algorithm for Gravitational Lensing Studies in Simulations


An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset


An Accurate and Fully-Automated Ensemble Model for Weekly Time Series Forecasting


An Achievability Bound for Type-Based Unsourced Multiple Access


An Acoustic Simulation Framework to Support Indoor Positioning and Data Driven Signal Processing Assessments


An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition


An Active Inference Model of Covert and Overt Visual Attention


An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis


An Active Learning Reliability Method for Systems with Partially Defined Performance Functions


An Active Learning-Based Streaming Pipeline for Reduced Data Training of Structure Finding Models in Neutron Diffractometry


An Active Noise Control System Based on Soundfield Interpolation Using a Physics-informed Neural Network


An Active Set Algorithm to Estimate Parameters in Generalized Linear Models with Ordered Predictors


An Actor-Critic Algorithm for Sequence Prediction


An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising


An Adaptation for Iterative Structured Matrix Completion


An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints


An Adaptive Bounded-Confidence Model of Opinion Dynamics on Networks


An Adaptive Collocation Point Strategy For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method


An Adaptive Dropout Approach for High-Dimensional Bayesian Optimization


An Adaptive Framework for Autoregressive Forecasting in CFD Using Hybrid Modal Decomposition and Deep Learning


An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms


An Adaptive Framework for Learning Unsupervised Depth Completion


An Adaptive Framework for Manipulator Skill Reproduction in Dynamic Environments


An Adaptive Gradient Method with Energy and Momentum


An Adaptive Graduated Nonconvexity Loss Function for Robust Nonlinear Least Squares Solutions


An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training


An Adaptive Method Stabilizing Activations for Enhanced Generalization


An Adaptive Method for Camera Attribution under Complex Radial Distortion Corrections


An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability


An Adaptive Observer Design for Charge-State and Crossover Estimation in Disproportionation Redox Flow Batteries undergoing Self-Discharge


An Adaptive Remote Stochastic Gradient Method for Training Neural Networks


An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians


An Adaptive Tangent Feature Perspective of Neural Networks


An Adaptive Test of Independence with Analytic Kernel Embeddings


An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense


An Adaptive Weighted QITE-VQE Algorithm for Combinatorial Optimization Problems


An Adaptive and Altruistic PSO-based Deep Feature Selection Method for Pneumonia Detection from Chest X-Rays


An Adaptive and Robust Method for Multi-trait Analysis of Genome-wide Association Studies Using Summary Statistics


An Adaptive sampling and domain learning strategy for multivariate function approximation on unknown domains


An Adaptively Resized Parametric Bootstrap for Inference in High-dimensional Generalized Linear Models


An Additive Autoencoder for Dimension Estimation


An Additive Instance-Wise Approach to Multi-class Model Interpretation


An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data


An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs


An Adversarial Approach to Private Flocking in Mobile Robot Teams


An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images


An Adversarial Attack Analysis on Malicious Advertisement URL Detection Framework


An Adversarial Benchmark for Fake News Detection Models


An Adversarial Imitation Click Model for Information Retrieval


An Adversarial Objective for Scalable Exploration


An Adversarial Perspective on Machine Unlearning for AI Safety


An Adversarial Robustness Perspective on the Topology of Neural Networks


An Adversarial Transfer Network for Knowledge Representation Learning


An Adversarially-Learned Turing Test for Dialog Generation Models


An Affine Type System with Hindley-Milner Style Type Inference


An Agent-Based Fleet Management Model for First- and Last-Mile Services


An Agent-Based Model for Bovine Viral Diarrhea


An Agent-Based Model of Elephant Crop Raid Dynamics in the Periyar-Agasthyamalai Complex, India


An Agent-Based Modelling Approach to Brain Drain


An Agent-Centric Perspective on Norm Enforcement and Sanctions


An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy


An Aggregate Method for Thorax Diseases Classification


An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting


An Algebraic Foundation for Knowledge Graph Construction (Extended Version)


An Algebraic Framework for Structured Epidemic Modeling


An Algorithm for Distributed Bayesian Inference in Generalized Linear Models


An Algorithm for Reordering Buffer Management Problem and Experimental Evaluations on Discrete Distributions


An Algorithm for Reversible Logic Circuit Synthesis Based on Tensor Decomposition


An Algorithm for the SE(3)-Transformation on Neural Implicit Maps for Remapping Functions


An Algorithm for the Separation-Preserving Transition of Clusterings


An Algorithm to Enumerate Grid Signed Permutation Classes


An Algorithm to Train Unrestricted Sequential Discrete Morphological Neural Networks


An Algorithm to locate the centers of Baryon Acoustic Oscillations


An Algorithmic Introduction to Savings Circles


An All Deep System for Badminton Game Analysis


An All-Atom Generative Model for Designing Protein Complexes


An All-MLP Sequence Modeling Architecture That Excels at Copying


An Altarelli Cocktail for the MiniBooNE Anomaly?


An Alternate Method for Minimizing $χ^2$


An Alternate Policy Gradient Estimator for Softmax Policies


An Alternating Direction Method of Multipliers Algorithm for the Weighted Fused LASSO Signal Approximator


An Alternating Minimization Algorithm with Trajectory for Direct Exoplanet Detection -- The AMAT Algorithm


An Alternative Approach to Inverse Z-Transform of Rational Functions


An Alternative to Stride-Based RNG for Monte Carlo Transport


An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems


An Amharic News Text classification Dataset


An Analysis Method for Metric-Level Switching in Beat Tracking


An Analysis and Implementation of the HDR+ Burst Denoising Method


An Analysis and Mitigation of the Reversal Curse


An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT


An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models


An Analysis of Concurrency Control Protocols for In-Memory Databases with CCBench (Extended Version)


An Analysis of Datasets, Metrics and Models in Keyphrase Generation


An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces


An Analysis of Linear Time Series Forecasting Models


An Analysis of Malicious Packages in Open-Source Software in the Wild


An Analysis of Multi-hop Iterative Approximate Byzantine Consensus with Local Communication


An Analysis of Muon Flux from Angle Variation of the QuarkNet Cosmic Ray Detector


An Analysis of Negation in Natural Language Understanding Corpora


An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian Models


An Analysis of Parton Distribution Functions of the Pion and the Kaon with the Maximum Entropy Input


An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen Gaming


An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features


An Analysis of Robustness of Non-Lipschitz Networks


An Analysis of SVD for Deep Rotation Estimation


An Analysis of Safety Guarantees in Multi-Task Bayesian Optimization


An Analysis of Social Biases Present in BERT Variants Across Multiple Languages


An Analysis of the Adaptation Speed of Causal Models


An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels


An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks


An Analysis on the Learning Rules of the Skip-Gram Model


An Analyst-Inspector Framework for Evaluating Reproducibility of LLMs in Data Science


An Analytic Framework for Robust Training of Artificial Neural Networks


An Analytic Hybrid Halo + Perturbation Theory Model for Small-scale Correlators: Baryons, Halos, and Galaxies


An Analytic Solution to the 3D CSC Dubins Path Problem


An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators


An Analytical Solution to the IMU Initialization Problem for Visual-Inertial Systems


An Analytically Tractable Marked Power Spectrum


An Anatomy of Event Studies: Hypothetical Experiments, Exact Decomposition, and Weighting Diagnostics


An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video


An Annotated Commodity News Corpus for Event Extraction


An Annotated Corpus of Arabic Tweets for Hate Speech Analysis


An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Posts


An Annotated Dataset of Coreference in English Literature


An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them


An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception


An Answer to the Bose-Nelson Sorting Problem for 11 and 12 Channels


An Application Driven Method for Assembling Numerical Schemes for the Solution of Complex Multiphysics Problems


An Application of Deep Reinforcement Learning to Algorithmic Trading


An Application of Gaussian Process Modeling for High-order Accurate Adaptive Mesh Refinement Prolongation


An Application of Stereo Thermal Vision for Preliminary Inspection of Electrical Power Lines by MAVs


An Application to Generate Style Guided Compatible Outfit


An Appraisal Transition System for Event-driven Emotions in Agent-based Player Experience Testing


An Approach for Air Drawing Using Background Subtraction and Contour Extraction


An Approach for Generating Families of Energetically Optimal Gaits from Passive Dynamic Walking Gaits


An Approach for Process Model Extraction By Multi-Grained Text Classification


An Approach for System Analysis with MBSE and Graph Data Engineering


An Approach for Text Steganography Based on Markov Chains


An Approach to Ordering Objectives and Pareto Efficient Solutions


An Approach to Reduce Computational Load: Precalculating Gain Matrices for an LQR Controller of a Four-Axis Manipulator Using State Space Kinematics


An Approximate Dynamic Programming Approach to Adversarial Online Learning


An Approximate Projection onto the Tangent Cone to the Variety of Third-Order Tensors of Bounded Tensor-Train Rank


An Approximate Quasi-Likelihood Approach for Error-Prone Failure Time Outcomes and Exposures


An Approximation Theory Framework for Measure-Transport Sampling Algorithms


An Arbitrary High Order and Positivity Preserving Method for the Shallow Water Equations


An Arbitrary Scale Super-Resolution Approach for 3D MR Images via Implicit Neural Representation


An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation


An Arduino based heartbeat detection device (ArdMob-ECG) for real-time ECG analysis


An Artificial Intelligence Dataset for Solar Energy Locations in India


An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter


An AsFem implementation for quasi-static brittle fracture phase field model


An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency Structure


An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation


An Assumption-Free Exact Test For Fixed-Design Linear Models With Exchangeable Errors


An Asymmetric Contrastive Loss for Handling Imbalanced Datasets


An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings


An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models


An Asynchronous Distributed-Memory Parallel Algorithm for k-mer Counting


An Asynchronous Kalman Filter for Hybrid Event Cameras


An Asynchronous Linear Filter Architecture for Hybrid Event-Frame Cameras


An Asynchronous Updating Reinforcement Learning Framework for Task-oriented Dialog System


An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents


An Atomistic Machine Learning Package for Surface Science and Catalysis


An Attack Traffic Identification Method Based on Temporal Spectrum


An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical Images


An Attention Mechanism for Musical Instrument Recognition


An Attention Model for group-level emotion recognition


An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition


An Attention-Based Denoising Framework for Personality Detection in Social Media Texts


An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications


An Attention-Guided Deep Learning Approach for Classifying 39 Skin Lesion Types


An Attention-based Graph Neural Network for Heterogeneous Structural Learning


An Attention-based Multi-Scale Feature Learning Network for Multimodal Medical Image Fusion


An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning


An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving Videos


An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation


An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis


An Attentive-based Generative Model for Medical Image Synthesis


An Audio-Driven System For Real-Time Music Visualisation


An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification


An Augmented Backward-Corrected Projector Splitting Integrator for Dynamical Low-Rank Training


An Augmented Likelihood Approach for the Discrete Proportional Hazards Model Using Auxiliary and Validated Outcome Data -- with Application to the HCHS/SOL Study


An Auto Encoder For Audio Dolphin Communication


An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation


An Auto-Encoder Strategy for Adaptive Image Segmentation


An Autoencoder Architecture for L-band Passive Microwave Retrieval of Landscape Freeze-Thaw Cycle


An Autoencoder Based Approach to Simulate Sports Games


An Automated Approach Towards Sparse Single-Equation Cointegration Modelling


An Automated Approach to the Collatz Conjecture


An Automated Conversion Between Selected Robot Kinematic Representations


An Automated End-to-End Open-Source Software for High-Quality Text-to-Speech Dataset Generation


An Automated Generation of Bootstrap Equations for Numerical Study of Critical Phenomena


An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed Pigeon


An Automated Scalable Framework for Distributing Radio Astronomy Processing Across Clusters and Clouds


An Automated Startup Evaluation Pipeline: Startup Success Forecasting Framework (SSFF)


An Automated Text Categorization Framework based on Hyperparameter Optimization


An Automatic Approach for Generating Rich, Linked Geo-Metadata from Historical Map Images


An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image


An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?


An Automatic Graph Construction Framework based on Large Language Models for Recommendation


An Automatic Method for Generating Symbolic Expressions of Zernike Circular Polynomials


An Automatic Question Usability Evaluation Toolkit


An Automatic Sound and Complete Abstraction Method for Generalized Planning with Baggable Types


An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer Learning


An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework


An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles


An Autoregressive Model for Time Series of Random Objects


An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction


An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images


An EM Framework for Online Incremental Learning of Semantic Segmentation


An EMG Gesture Recognition System with Flexible High-Density Sensors and Brain-Inspired High-Dimensional Classifier


An EWPD SMEFT likelihood for the LHC -- and how to improve it with measurements of W and Z boson properties


An Early Experience with Confidential Computing Architecture for On-Device Model Protection


An Earth Mover's Distance Based Graph Distance Metric For Financial Statements


An Earth Rover dataset recorded at the ICRA@40 party


An Earth-System-Oriented View of the S2S Predictability of North American Weather Regimes


An Easy Rejection Sampling Baseline via Gradient Refined Proposals


An Easy-to-use Real-world Multi-objective Optimization Problem Suite


An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant


An Economic Framework for 6-DoF Grasp Detection


An Economical Approach to Design Posterior Analyses


An Edge Computing-Based Solution for Real-Time Leaf Disease Classification using Thermal Imaging


An Edge-Based Decomposition Framework for Temporal Networks


An Edit Friendly DDPM Noise Space: Inversion and Manipulations


An Educational Tool for Exploring the Pumping Lemma Property for Regular Languages


An Effective Baseline for Robustness to Distributional Shift


An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification


An Effective Framework of Private Ethereum Blockchain Networks for Smart Grid


An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022


An Effective Image Copy-Move Forgery Detection Using Entropy Information


An Effective Meaningful Way to Evaluate Survival Models


An Effective Method for Identifying Clusters of Robot Strengths


An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks


An Effective System for Multi-format Information Extraction


An Effective Transformer-based Contextual Model and Temporal Gate Pooling for Speaker Identification


An Effective Transition-based Model for Discontinuous NER


An Effective Way for Cross-Market Recommendation with Hybrid Pre-Ranking and Ranking Models


An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification


An Effective and Efficient Time-aware Entity Alignment Framework via Two-aspect Three-view Label Propagation


An Effective and Robust Detector for Logo Detection


An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results


An Efficient 2D Method for Training Super-Large Deep Learning Models


An Efficient Adversarial Attack for Tree Ensembles


An Efficient Agreement Mechanism in CapsNets By Pairwise Product


An Efficient Algorithm for Clustered Multi-Task Compressive Sensing


An Efficient Algorithm for Maintaining Acyclicity in Concurrent Graph Objects


An Efficient Algorithm for Optimal Routing Through Constant Function Market Makers


An Efficient Algorithm for Power Dominating Set


An Efficient Algorithm for Unbalanced 1D Transportation


An Efficient Algorithm to Compute the Colored Jones Polynomial


An Efficient All-to-All GCD Algorithm for Low Entropy RSA Key Factorization


An Efficient Application of Neuroevolution for Competitive Multiagent Learning


An Efficient Approach for Optimizing the Cost-effective Individualized Treatment Rule Using Conditional Random Forest


An Efficient Approach for Studying Cross-Lingual Transfer in Multilingual Language Models


An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks


An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion


An Efficient Approximate Method for Online Convolutional Dictionary Learning


An Efficient Assignment of Drainage Direction Over Flat Surfaces in Raster Digital Elevation Models


An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search


An Efficient Augmented Lagrangian Method for Dynamic Optimal Transport on Surfaces Based on Second-Order Cone Programming


An Efficient Branch-and-Bound Solver for Hitting Set


An Efficient Cervical Whole Slide Image Analysis Framework Based on Multi-scale Semantic and Location Deep Features


An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework based on Semantic Blocks


An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation


An Efficient Compression Method for Sign Information of DCT Coefficients via Sign Retrieval


An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural Networks


An Efficient Convex Hull-based Vehicle Pose Estimation Method for 3D LiDAR


An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation


An Efficient Difference-of-Convex Solver for Privacy Funnel


An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman Problem


An Efficient Drifters Deployment Strategy to Evaluate Water Current Velocity Fields


An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning


An Efficient Forecasting Approach to Reduce Boundary Effects in Real-Time Time-Frequency Analysis


An Efficient Framework for Clustered Federated Learning


An Efficient Frequency Diversity Scheme for Ultra-Reliable Communications in Two-Path Fading Channels


An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants


An Efficient Gradient Projection Method for Structural Topology Optimization


An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning


An Efficient Inference Frame for SMLM (Single-Molecule Localization Microscopy)


An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models


An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain


An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization


An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees


An Efficient Local Optimizer-Tracking Solver for Differential-Algebriac Equations with Optimization Criteria


An Efficient Loop and Clique Coarsening Algorithm for Graph Classification


An Efficient Lorentz Equivariant Graph Neural Network for Jet Tagging


An Efficient MCMC Approach to Energy Function Optimization in Protein Structure Prediction


An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary


An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks


An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization


An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning


An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks


An Efficient Method for Computing Expected Value of Sample Information for Survival Data from an Ongoing Trial


An Efficient Method for Multi-Parameter Mapping in Quantitative MRI using B-Spline Interpolation


An Efficient Method for Robust Projection Matrix Design


An Efficient Method for the Classification of Croplands in Scarce-Label Regions


An Efficient Method to Verify the Inclusion of Ellipsoids


An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications


An Efficient Multilingual Language Model Compression through Vocabulary Trimming


An Efficient Multitask Learning Architecture for Affective Vocal Burst Analysis


An Efficient Numerical Function Optimization Framework for Constrained Nonlinear Robotic Problems


An Efficient Optimal Energy Flow Model for Integrated Energy Systems Based on Energy Circuit Modeling in the Frequency Domain


An Efficient Person Clustering Algorithm for Open Checkout-free Groceries


An Efficient Procedure for Mining Egocentric Temporal Motifs


An Efficient Quantum Classifier Based on Hamiltonian Representations


An Efficient Quantum Compiler that reduces $T$ count


An Efficient Quasi-Newton Method with Tensor Product Implementation for Solving Quasi-Linear Elliptic Equations and Systems


An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay


An Efficient Sampling-based Method for Online Informative Path Planning in Unknown Environments


An Efficient Self-Supervised Cross-View Training For Sentence Embedding


An Efficient Semi-Real-Time Algorithm for Path Planning in the Hamilton-Jacobi Formulation


An Efficient Semi-smooth Newton Augmented Lagrangian Method for Elastic Net


An Efficient Sign Language Translation Using Spatial Configuration and Motion Dynamics with LLMs


An Efficient Smoothing and Thresholding Image Segmentation Framework with Weighted Anisotropic-Isotropic Total Variation


An Efficient Solution to the 2D Visibility Problem in Cartesian Grid Maps and its Application in Heuristic Path Planning


An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments


An Efficient Spiking Neural Network for Recognizing Gestures with a DVS Camera on the Loihi Neuromorphic Processor


An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems


An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization


An Efficient Subgraph GNN with Provable Substructure Counting Power


An Efficient System for Automatic Map Storytelling -- A Case Study on Historical Maps


An Efficient Temporary Deepfake Location Approach Based Embeddings for Partially Spoofed Audio Detection


An Efficient Training Approach for Very Large Scale Face Recognition


An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain


An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning


An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data


An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation


An Efficient Workflow for Modelling High-Dimensional Spatial Extremes


An Efficient and Continuous Voronoi Density Estimator


An Efficient and Effective Second-Order Training Algorithm for LSTM-based Adaptive Learning


An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding


An Efficient and Mixed Heterogeneous Model for Image Restoration


An Efficient and Precise Training Data Construction Framework for Process-supervised Reward Model in Mathematical Reasoning


An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation


An Efficient and Robust Social Network De-anonymization Attack


An Efficient, Expressive and Local Minima-free Method for Learning Controlled Dynamical Systems


An Eigenmodel for Dynamic Multilayer Networks


An Eigenvalue Ratio Approach to Inferring Population Structure from Whole Genome Sequencing Data


An Elastic Interaction-Based Loss Function for Medical Image Segmentation


An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making


An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains


An Electron-Scattering Time Delay in Black Hole Accretion Disks


An Element-Wise Weights Aggregation Method for Federated Learning


An Elementary Formal Proof of the Group Law on Weierstrass Elliptic Curves in any Characteristic


An Elementary Method For Fast Modular Exponentiation With Factored Modulus


An Elliptic Curve Based Solution to the Perspective-Three-Point Problem


An Elliptic Generalization of $A_1$ Spherical DAHA at $K=2$


An Elo-like System for Massive Multiplayer Competitions


An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition


An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks


An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models


An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding


An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image Segmentation


An Embedded Diachronic Sense Change Model with a Case Study from Ancient Greek


An Embedded Feature Selection Framework for Control


An Embedded Monocular Vision Approach for Ground-Aware Objects Detection and Position Estimation


An Embedded and Real-Time Pupil Detection Pipeline


An Embedding is Worth a Thousand Noisy Labels


An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies


An Embodied Generalist Agent in 3D World


An Empathetic AI Coach for Self-Attachment Therapy


An Empirical Analysis of Approximation Algorithms for the Euclidean Traveling Salesman Problem


An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates


An Empirical Analysis of Image-Based Learning Techniques for Malware Classification


An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models


An Empirical Analysis of Uncertainty in Large Language Model Evaluations


An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes


An Empirical Analysis of how Internet Access Influences Public Opinion towards Undocumented Immigrants and Unaccompanied Children


An Empirical Analysis of the Effect of Ballot Truncation on Ranked-Choice Electoral Outcomes


An Empirical Analysis of the Efficacy of Different Sampling Techniques for Imbalanced Classification


An Empirical Analysis of the Python Package Index (PyPI)


An Empirical Analysis on Large Language Models in Debate Evaluation


An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models


An Empirical Analysis on the Use and Reporting of National Security Letters


An Empirical Bayes Analysis of Object Trajectory Representation Models


An Empirical Bayes Approach for High Dimensional Classification


An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction


An Empirical Characterization of Outages and Incidents in Public Services for Large Language Models


An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury


An Empirical Comparison of GANs and Normalizing Flows for Density Estimation


An Empirical Comparison of Instance Attribution Methods for NLP


An Empirical Comparison of Parametric and Permutation Tests for Regression Analysis of Randomized Experiments


An Empirical Comparison of Syllabuses for Curriculum Learning


An Empirical Comparison of Vocabulary Expansion and Initialization Approaches for Language Models


An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation


An Empirical Evaluation On The Effectiveness Of Medicaid Expansion Across 49 States


An Empirical Evaluation On the Applicability of the DALiuGE Execution Framework


An Empirical Evaluation of $k$-Means Coresets


An Empirical Evaluation of Columnar Storage Formats


An Empirical Evaluation of Cost-based Federated SPARQL Query Processing Engines


An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes


An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition


An Empirical Evaluation of Multivariate Time Series Classification with Input Transformation across Different Dimensions


An Empirical Evaluation of Temporal Graph Benchmark


An Empirical Evaluation of Time-Series Feature Sets


An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization


An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation


An Empirical Framework for Domain Generalization in Clinical Settings


An Empirical Investigation Into the Time and Frequency Response Characteristics of Hopf Resonators


An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training


An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks


An Empirical Investigation of Contextualized Number Prediction


An Empirical Investigation of Personalization Factors on TikTok


An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generation


An Empirical Investigation of the Role of Pre-training in Lifelong Learning


An Empirical Meta-analysis of the Life Sciences (Linked?) Open Data on the Web


An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events


An Empirical Review of Adversarial Defenses


An Empirical Review of Optimization Techniques for Quantum Variational Circuits


An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks


An Empirical Smart Contracts Latency Analysis on Ethereum Blockchain for Trustworthy Inter-Provider Agreements


An Empirical Study Of Self-supervised Learning Approaches For Object Detection With Transformers


An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation


An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders


An Empirical Study of AI Techniques in Mobile Applications


An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning


An Empirical Study of Ageing in the Cloud


An Empirical Study of Android Security Bulletins in Different Vendors


An Empirical Study of Blockchain Repositories in GitHub


An Empirical Study of Blockchain System Vulnerabilities: Modules, Types, and Patterns


An Empirical Study of Bugs in Quantum Machine Learning Frameworks


An Empirical Study of CLIP for Text-based Person Search


An Empirical Study of Capital Asset Pricing Model based on Chinese A-share Trading Data


An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning


An Empirical Study of Challenges in Converting Deep Learning Models


An Empirical Study of Challenges in Machine Learning Asset Management


An Empirical Study of Code Obfuscation Practices in the Google Play Store


An Empirical Study of Conjugate Gradient Preconditioners for Solving Symmetric Positive Definite Systems of Linear Equations


An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation


An Empirical Study of Content Understanding in Conversational Question Answering


An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker


An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning


An Empirical Study of Data Constraint Implementations in Java


An Empirical Study of Developer Discussions on Low-Code Software Development Challenges


An Empirical Study of Developers' Discussions about Security Challenges of Different Programming Languages


An Empirical Study of End-to-End Temporal Action Detection


An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling


An Empirical Study of Evaluating Long-form Question Answering


An Empirical Study of Example Forgetting during Deep Neural Network Learning


An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA


An Empirical Study of GPT-4o Image Generation Capabilities


An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models


An Empirical Study of Graph-Based Approaches for Semi-Supervised Time Series Classification


An Empirical Study of Impact of Solidity Compiler Updates on Vulnerabilities in Ethereum Smart Contracts


An Empirical Study of In-context Learning in LLMs for Machine Translation


An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction


An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4


An Empirical Study of Malicious Code In PyPI Ecosystem


An Empirical Study of Memorization in NLP


An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models


An Empirical Study of Multitask Learning to Improve Open Domain Dialogue Systems


An Empirical Study of Obsolete Answers on Stack Overflow


An Empirical Study of Path Feasibility Queries


An Empirical Study of Person Re-Identification with Attributes


An Empirical Study of Personalized Federated Learning


An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering


An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration


An Empirical Study of Pre-trained Transformers for Arabic Information Extraction


An Empirical Study of Qwen3 Quantization


An Empirical Study of Realized GNN Expressiveness


An Empirical Study of Remote Sensing Pretraining


An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities


An Empirical Study of Retrieval-enhanced Graph Neural Networks


An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks


An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders


An Empirical Study of Translation Hypothesis Ensembling with Large Language Models


An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020


An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval


An Empirical Study of Vehicle Re-Identification on the AI City Challenge


An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation


An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets


An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems


An Empirical Study on Code Comment Completion


An Empirical Study on Commit Message Generation using LLMs via In-Context Learning


An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms


An Empirical Study on Context Length for Open-Domain Dialog Generation


An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference


An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications


An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues


An Empirical Study on Explanations in Out-of-Domain Settings


An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator


An Empirical Study on Google Research Football Multi-agent Scenarios


An Empirical Study on Information Extraction using Large Language Models


An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision


An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction


An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference


An Empirical Study on Noisy Label Learning for Program Understanding


An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives


An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models


An Empirical Study on Quality of Android Applications written in Kotlin language


An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models


An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation


An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project


An Empirical Study on Workflows and Security Policies in Popular GitHub Repositories


An Empirical Study on the Characteristics of Bias upon Context Length Variation for Bangla


An Empirical Study on the Characteristics of Database Access Bugs in Java Applications


An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing


An Empirical Study on the Effectiveness of Large Language Models for SATD Identification and Classification


An Empirical Study on the Intrinsic Privacy of SGD


An Empirical Study on the Membership Inference Attack against Tabular Data Synthesis Models


An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets


An Empirical Study on the Performance and Energy Usage of Compiled Python Code


An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness


An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation


An Empirical Study on the Usage of Automated Machine Learning Tools


An Empirical Study on the Usage of BERT Models for Code Completion


An Empirical Study: Extensive Deep Temporal Point Process


An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics


An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning


An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction


An End-to-End Authentication Mechanism for Wireless Body Area Networks


An End-to-End Autofocus Camera for Iris on the Move


An End-to-End Computer Vision Methodology for Quantitative Metallography


An End-to-End Differentiable Framework for Contact-Aware Robot Design


An End-to-End GSM/SMS Encrypted Approach for Smartphone Employing Advanced Encryption Standard(AES)


An End-to-End Model For Logits Based Large Language Models Watermarking


An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation


An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation


An End-to-End Network for Emotion-Cause Pair Extraction


An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint Programming


An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models


An End-to-End Structure with Novel Position Mechanism and Improved EMD for Stock Forecasting


An End-to-End System for Reproducibility Assessment of Source Code Repositories via Their Readmes


An End-to-End Transformer Model for Crowd Localization


An End-to-end Chinese Text Normalization Model based on Rule-guided Flat-Lattice Transformer


An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space


An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation


An End-to-end Model for Entity-level Relation Extraction using Multi-instance Learning


An End-to-end Point of Interest (POI) Conflation Framework


An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection


An Energy Based Scheme for Reconstruction of Piecewise Constant Signals observed in the Movement of Molecular Machines


An Energy Stable High-Order Cut Cell Discontinuous Galerkin Method with State Redistribution for Wave Propagation


An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge


An Energy-Based Prior for Generative Saliency


An Energy-Efficient Edge Computing Paradigm for Convolution-based Image Upsampling


An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface


An Energy-based Approach to Ensure the Stability of Learned Dynamical Systems


An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation


An Engorgio Prompt Makes Large Language Model Babble on


An Enhanced ADMM-based Interior Point Method for Linear and Conic Optimization


An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild


An Enhanced Batch Query Architecture in Real-time Recommendation


An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning


An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Merging


An Enhanced MA Plot with R-Shiny to Ease Exploratory Analysis of Transcriptomic Data


An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed Electrocardiograms


An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization


An Enquiry on similarities between Renormalization Group and Auto-Encoders using Transfer Learning


An Ensemble Approach for Annotating Source Code Identifiers with Part-of-speech Tags


An Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task Learning


An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data


An Ensemble Approach to Acronym Extraction using Transformers


An Ensemble Classification Algorithm Based on Information Entropy for Data Streams


An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans


An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images


An Ensemble Framework for Explainable Geospatial Machine Learning Models


An Ensemble Learning Framework for Vehicle Trajectory Prediction in Interactive Scenarios


An Ensemble Method for Producing Word Representations focusing on the Greek Language


An Ensemble Score Filter for Tracking High-Dimensional Nonlinear Dynamical Systems


An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval


An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning


An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification


An Ensemble-Based Two-Step Framework for Classification of Pap Smear Cell Images


An Entropy Clustering Approach for Assessing Visual Question Difficulty


An Entropy Stable High-Order Discontinuous Galerkin Method on Cut Meshes


An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation


An Entropy-Stable Discontinuous Galerkin Discretization of the Ideal Multi-Ion Magnetohydrodynamics System


An Entropy-based Text Watermarking Detection Method


An Environmental Monitoring Network for Quantum Gas Experiments and Devices


An Equation of State of CO for use in Planetary Modeling


An Equivalence Between Data Poisoning and Byzantine Gradient Attacks


An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay


An Equivalence of Fully Connected Layer and Convolutional Layer


An Equivariant Generative Framework for Molecular Graph-Structure Co-Design


An Error-Guided Correction Model for Chinese Spelling Error Correction


An Error-State Model Predictive Control on Connected Matrix Lie Groups for Legged Robot Control


An Ethical Trajectory Planning Algorithm for Autonomous Vehicles


An Eulerian approach to regularized JKO scheme with low-rank tensor decompositions for Bayesian inversion


An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model


An Evaluation Dataset for Legal Word Embedding: A Case Study On Chinese Codex


An Evaluation Framework for Attributed Information Retrieval using Large Language Models


An Evaluation Framework for Legal Document Summarization


An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph


An Evaluation Study of Intrinsic Motivation Techniques applied to Reinforcement Learning over Hard Exploration Environments


An Evaluation Testbed for Locomotion in Virtual Reality


An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series


An Evaluation of DNN Architectures for Page Segmentation of Historical Newspapers


An Evaluation of Design-based Properties of Different Composite Estimators


An Evaluation of Machine Learning Approaches for Early Diagnosis of Autism Spectrum Disorder


An Evaluation of Machine Learning and Deep Learning Models for Drought Prediction using Weather Data


An Evaluation of Methods for Real-Time Anomaly Detection using Force Measurements from the Turning Process


An Evaluation of N-Gram Selection Strategies for Regular Expression Indexing in Contemporary Text Analysis Tasks


An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization


An Evaluation of Researchers' Migration Patterns in Europe using Digital Trace Data


An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis


An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting


An Evaluation of novel method of Ill-Posed Problem for the Black-Scholes Equation solution


An Evalutation of Programming Language Models' performance on Software Defect Detection


An Event-Driven Approach for Studying Gene Block Evolution in Bacteria


An Event-based Algorithm for Simultaneous 6-DOF Camera Pose Tracking and Mapping


An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System


An Evolutionary Game Model for Understanding Fraud in Consumption Taxes


An Evolutionary Game Theoretic Model of Rhino Horn Devaluation


An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection


An Exact Algorithm for Large-scale Non-convex Quadratic Facility Location


An Exact Algorithm for Semi-supervised Minimum Sum-of-Squares Clustering


An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs


An Exact Sampler for Inference after Polyhedral Model Selection


An Exact Solver for the Weston-Watkins SVM Subproblem


An Exact Theory of Causal Emergence for Linear Stochastic Iteration Systems


An Examination of Olympic Sport Climbing Competition Format and Scoring System


An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata


An Examination of the Compositionality of Large Generative Vision-Language Models


An Examination of the Robustness of Reference-Free Image Captioning Evaluation Metrics


An Executable Structural Operational Formal Semantics for Python


An Exercise in Open Data: Triple Axis Data on Si single crystal


An Exomoon Survey of 70 Cool Giant Exoplanets and the New Candidate Kepler-1708 b-i


An Expanded Massive Multilingual Dataset for High-Performance Language Technologies


An Expansion-Based Approach for Quantified Integer Programming


An Expectation Conditional Maximization approach for Gaussian graphical models


An Expectation-Maximization Algorithm for the Fractal Inverse Problem


An Experiment in Retrofitting Competency Questions for Existing Ontologies


An Experimental Analysis of Indoor Spatial Queries: Modeling, Indexing, and Processing


An Experimental Comparison Of Multi-view Self-supervised Methods For Music Tagging


An Experimental Comparison of Floating Base Estimators for Humanoid Robots with Flat Feet


An Experimental Comparison of Multiwinner Voting Rules on Approval Elections


An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits


An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data


An Experimental Evaluation of Japanese Tokenizers for Sentiment-Based Text Classification


An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System


An Experimental Investigation into the Evaluation of Explainability Methods


An Experimental Review on Deep Learning Architectures for Time Series Forecasting


An Experimental Study of Cryptocurrency Market Dynamics


An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction


An Experimental Study of the Transferability of Spectral Graph Networks


An Experimental Study on the Rashomon Effect of Balancing Methods in Imbalanced Classification


An Experimental and Comparative Benchmark Study Examining Resource Utilization in Managed Hadoop Context


An Experimental mmWave Channel Model for UAV-to-UAV Communications


An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging


An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment


An Explainable Pipeline for Machine Learning with Functional Data


An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics


An Explanation of In-context Learning as Implicit Bayesian Inference


An Explicit Local and Global Representation Disentanglement Framework with Applications in Deep Clustering and Unsupervised Object Detection


An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation


An Exploration of Deep Learning Methods in Hungry Geese


An Exploration of Degeneracy in Abelian Varieties of Fermat Type


An Exploration of Embodied Visual Exploration


An Exploration of Encoder-Decoder Approaches to Multi-Label Classification for Legal and Biomedical Text


An Exploration of Exploration: Measuring the ability of lexicase selection to find obscure pathways to optimality


An Exploration of Mimic Architectures for Residual Network Based Spectral Mapping


An Exploration of Self-Supervised Mutual Information Alignment for Multi-Task Settings


An Exploratory Approach for Game Engine Architecture Recovery


An Exploratory Deep Learning Approach for Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines


An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets


An Exploratory Method for Smooth/Transient Decomposition


An Exploratory Study of Live-Streamed Programming


An Exploratory Study of Project Activity Changepoints in Open Source Software Evolution


An Exploratory Study on Architectural Knowledge in Issue Tracking Systems


An Exploratory Study on Automatic Identification of Assumptions in the Development of Deep Learning Frameworks


An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation


An Exploratory Study on How AI Awareness Impacts Human-AI Design Collaboration


An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction


An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games


An Exposition of Pathfinding Strategies Within Lightning Network Clients


An Exposure Model Framework for Signal Detection based on Electronic Healthcare Data


An Expressive Ansatz for Low-Depth Quantum Approximate Optimisation


An Expressive Probabilistic Temporal Logic


An Extended B' Formulation for Ablating-Surface Boundary Conditions


An Extended Framework for Marginalized Domain Adaptation


An Extended Newton-type Algorithm for $\ell_2$-Regularized Sparse Logistic Regression and Its Efficiency for Classifying Large-scale Datasets


An Extended Sequence Tagging Vocabulary for Grammatical Error Correction


An Extended Study of Human-like Behavior under Adversarial Training


An Extended Survey and a Comparison Framework for Dataflow Models of Computation and Communication


An Extended Validity Domain for Constraint Learning


An Extended View on Measuring Tor AS-level Adversaries


An Extensible Benchmark Suite for Learning to Simulate Physical Systems


An Extensible Framework for Open Heterogeneous Collaborative Perception


An Extension of Hejhal's Algorithm to Infinite Volume Fundamental Domains


An Extensive Study on Adversarial Attack against Pre-trained Models of Code


An Extensive Study on D2C: Overfitting Remediation in Deep Learning Using a Decentralized Approach


An Extractive-and-Abstractive Framework for Source Code Summarization


An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks


An Extrinsic Calibration Method between LiDAR and GNSS/INS for Autonomous Driving


An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment


An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping


An F-ratio-Based Method for Estimating the Number of Active Sources in MEG


An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages


An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface


An FEA surrogate model with Boundary Oriented Graph Embedding approach


An FNet based Auto Encoder for Long Sequence News Story Generation


An FPGA-Based Fully Pipelined Bilateral Grid for Real-Time Image Denoising


An FPGA-based Solution for Convolution Operation Acceleration


An Homogeneous Unbalanced Regularized Optimal Transport model with applications to Optimal Transport with Boundary


An Hα view of galaxy build-up in the first 2 Gyr: luminosity functions at z~4-6.5 from NIRCam/grism spectroscopy


An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs


An Illusion of Progress? Assessing the Current State of Web Agents


An Image Dataset for Benchmarking Recommender Systems with Raw Pixels


An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM


An Image Is Worth 1000 Lies: Adversarial Transferability across Prompts on Vision-Language Models


An Image Processing Pipeline for Camera Trap Time-Lapse Recordings


An Image Processing approach to identify solar plages observed at 393.37 nm by the Kodaikanal Solar Observatory


An Image Segmentation Model with Transformed Total Variation


An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models


An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild


An Image-based Generator Architecture for Synthetic Image Refinement


An Imaging Search for Post-Main-Sequence Planets of Sirius B


An Imitation Learning Approach to Unsupervised Parsing


An Imitative Reinforcement Learning Framework for Autonomous Dogfight


An Implementation and Experimental Comparison of Dynamic Ordered Sets


An Implementation of Homotopy Type Theory in Isabelle/Pure


An Implementation of Multimodal Fusion System for Intelligent Digital Human Generation


An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data


An Improved Algorithm for Clustered Federated Learning


An Improved Baseline for Sentence-level Relation Extraction


An Improved Chicken Swarm Optimization Algorithm for Handwritten Document Image Enhancement


An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images


An Improved Evaluation Framework for Generative Adversarial Networks


An Improved Genetic Algorithm and Its Application in Neural Network Adversarial Attack


An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection


An Improved Masking Strategy for Self-supervised Masked Reconstruction in Human Activity Recognition


An Improved Method for Class-specific Keyword Extraction: A Case Study in the German Business Registry


An Improved Metric and Benchmark for Assessing the Performance of Virtual Screening Models


An Improved Normed-Deformable Convolution for Crowd Counting


An Improved Person Re-identification Method by light-weight convolutional neural network


An Improved Phase Coding Audio Steganography Algorithm


An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation


An In-Context Learning Agent for Formal Theorem-Proving


An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit Classification


An In-Depth Comparative Analysis of Cloud Block Storage Workloads: Findings and Implications


An In-depth Analysis of Passage-Level Label Transfer for Contextual Document Ranking


An In-depth Look at Gemini's Language Abilities


An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities


An In-depth Study on Internal Structure of Chinese Words


An Incentive-Compatible Mechanism for Decentralized Storage Network


An Incremental Clustering Baseline for Event Detection on Twitter


An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems


An Incremental Phase Mapping Approach for X-ray Diffraction Patterns using Binary Peak Representations


An Incremental Tensor Train Decomposition Algorithm


An Incremental Unified Framework for Small Defect Inspection


An Index for Single Source All Destinations Distance Queries in Temporal Graphs


An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying


An Individual Identity-Driven Framework for Animal Re-Identification


An Indoor Crowd Movement Trajectory Benchmark Dataset


An Induced Natural Selection Heuristic for Finding Optimal Bayesian Experimental Designs


An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality


An Industry Evaluation of Embedding-based Entity Alignment


An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization


An Inexact Projected Regularized Newton Method for Fused Zero-norms Regularization Problems


An Inexact Semi-smooth Newton Method on Riemannian Manifolds with Application to Duality-based Total Variation Denoising


An Infinite Family of Artin-Schreier Curves with Minimal a-number


An Infinite Restricted Boltzmann Machine


An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks


An InfoVis Tool for Interactive Component-Based Evaluation


An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction


An Information Bottleneck Characterization of the Understanding-Workload Tradeoff


An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation


An Information Criterion for Controlled Disentanglement of Multimodal Data


An Information Extraction Study: Take In Mind the Tokenization!


An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning


An Information Retrieval Approach to Building Datasets for Hate Speech Detection


An Information Retrieval and Extraction Tool for Covid-19 Related Papers


An Information Theory Approach on Deciding Spectroscopic Follow Ups


An Information Theory Approach to Identifying Signs of Life on Transiting Planets


An Information Theory-inspired Strategy for Automatic Network Pruning


An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech


An Information-Theoretic Approach to Analyze NLP Classification Tasks


An Information-Theoretic Framework for Unifying Active Learning Problems


An Information-Theoretic Justification for Model Pruning


An Information-theoretic Approach to Distribution Shifts


An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding


An Informed and Systematic Method to Identify Variable mid-L dwarfs


An Infra-Structure for Performance Estimation and Experimental Comparison of Predictive Models in R


An Infrastructure for Software Release Analysis through Provenance Graphs


An Initial Exploration: Learning to Generate Realistic Audio for Silent Video


An Innovative CGL-MHA Model for Sarcasm Sentiment Recognition Using the MindSpore Framework


An Inpainting Approach to Tackle the Kinematic and Thermal SZ Induced Biases in CMB-Cluster Lensing Estimators


An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning


An Instrumental Variables Framework to Unite Spatial Confounding Methods


An Integer Linear Programming Framework for Mining Constraints from Data


An Integer Program for Pricing Support Points of Exact Barycenters


An Integrable Model for the Dynamics of Planetary Mean Motion Resonances


An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning


An Integrated AI-Enabled System Using One Class Twin Cross Learning (OCT-X) for Early Gastric Cancer Detection


An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation


An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction


An Integrated Development Environment for the Prototype Verification System


An Integrated Framework for Multi-Granular Explanation of Video Summarization


An Integrated Genomics Workflow Tool: Simulating Reads, Evaluating Read Alignments, and Optimizing Variant Calling Algorithms


An Integrated LiDAR-SLAM System for Complex Environment with Noisy Point Clouds


An Integrated Multi-Time-Scale Modeling for Solar Irradiance Forecasting Using Deep Learning


An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos


An Integration--Annihilator method for analytical solutions of Partial Differential Equations


An Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives


An Intelligent Agentic System for Complex Image Restoration Problems


An Intelligent Approach to Detecting Novel Fault Classes for Centrifugal Pumps Based on Deep CNNs and Unsupervised Methods


An Intelligent Model for Solving Manpower Scheduling Problems


An Intelligent Remote Sensing Image Quality Inspection System


An Intelligent SDWN Routing Algorithm Based on Network Situational Awareness and Deep Reinforcement Learning


An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems


An Interactive Annotation Tool for Perceptual Video Compression


An Interactive Decision-Support Dashboard for Optimal Hospital Capacity Management


An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models


An Interactive Greedy Approach to Group Sparsity in High Dimensions


An Interactive Human-Machine Learning Interface for Collecting and Learning from Complex Annotations


An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis


An Interactive Multi-modal Query Answering System with Retrieval-Augmented Large Language Models


An Interactive Query Generation Assistant using LLM-based Prompt Modification and User Feedback


An Interactive Visualization Tool for Understanding Active Learning


An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection


An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques


An Intermediate Program Representation for Optimizing Stream-Based Languages


An Intermediate-level Attack Framework on The Basis of Linear Regression


An Internal Learning Approach to Video Inpainting


An Interoperable Machine Learning Pipeline for Pediatric Obesity Risk Estimation


An Interpretable Alternative to Neural Representation Learning for Rating Prediction -- Transparent Latent Class Modeling of User Reviews


An Interpretable Boosting-based Predictive Model for Transformation Temperatures of Shape Memory Alloys


An Interpretable Deep Learning Approach for Skin Cancer Categorization


An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce


An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM


An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior Distillation


An Interpretable Machine Learning Framework for Modeling High-Resolution Spectroscopic Data


An Interpretable Music Similarity Measure Based on Path Interestingness


An Interpretable Neural Control Network with Adaptable Online Learning for Sample Efficient Robot Locomotion Learning


An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation


An Interpretable Probabilistic Model for Short-Term Solar Power Forecasting Using Natural Gradient Boosting


An Interpretable Reasoning Network for Multi-Relation Question Answering


An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNet


An Interpretable and Uncertainty Aware Multi-Task Framework for Multi-Aspect Sentiment Analysis


An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis


An Introduction to Computational Fluctuating Hydrodynamics


An Introduction to Deep Generative Modeling


An Introduction to Deep Survival Analysis Models for Predicting Time-to-Event Outcomes


An Introduction to Discrete Variational Autoencoders


An Introduction to High Contrast Differential Imaging of Exoplanets and Disks


An Introduction to Inductive Statistical Inference: from Parameter Estimation to Decision-Making


An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example


An Intrusion Detection System based on Deep Belief Networks


An Intrusion Response System utilizing Deep Q-Networks and System Partitions


An Invariant Information Geometric Method for High-Dimensional Online Optimization


An Invariant Learning Characterization of Controlled Text Generation


An Invariant of Virtual Trivalent Spatial Graphs


An Inverse Partial Optimal Transport Framework for Music-guided Movie Trailer Generation


An Inversion-based Measure of Memorization for Diffusion Models


An Invertible Graph Diffusion Neural Network for Source Localization


An Investigation Between Schema Linking and Text-to-SQL Performance


An Investigation into Laboucheres Betting System to Improve Odds of Favorable Outcomes to Generate a Positive Externality Empirically


An Investigation into Misuse of Java Security APIs by Large Language Models


An Investigation into the Stochasticity of Batch Whitening


An Investigation into the Use of Common Libraries in Android Apps


An Investigation of End-to-End Models for Robust Speech Recognition


An Investigation of Evaluation Metrics for Automated Medical Note Generation


An Investigation of Few-Shot Learning in Spoken Term Classification


An Investigation of Incorporating Mamba for Speech Enhancement


An Investigation of LLMs' Inefficacy in Understanding Converse Relations


An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs


An Investigation of Noise in Morphological Inflection


An Investigation of Offline Reinforcement Learning in Factorisable Action Spaces


An Investigation of Physics Informed Neural Networks to solve the Poisson-Boltzmann Equation in Molecular Electrostatics


An Investigation of Prompt Variations for Zero-shot LLM-based Rankers


An Investigation of Recurrent Neural Architectures for Drug Name Recognition


An Investigation of Representation and Allocation Harms in Contrastive Learning


An Investigation of Why Overparameterization Exacerbates Spurious Correlations


An Investigation of the (In)effectiveness of Counterfactually Augmented Data


An Investigation of the Bias-Variance Tradeoff in Meta-Gradients


An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding


An Investigation of the Effectiveness of Phase for Audio Classification


An Invitation to Tropical Alexandrov Curvature


An IoT Based Framework For Activity Recognition Using Deep Learning Technique


An Ising-like model for language evolution


An Isotropy Analysis in the Multilingual BERT Embedding Space


An Iterative Associative Memory Model for Empathetic Response Generation


An Iterative Bayesian Approach for System Identification based on Linear Gaussian Models


An Iterative Closest Points Approach to Neural Generative Models


An Iterative Contextualization Algorithm with Second-Order Attention


An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection


An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization


An L2-Normalized Spatial Attention Network For Accurate And Fast Classification Of Brain Tumors In 2D T1-Weighted CE-MRI Images


An LLM Agent for Functional Bug Detection in Network Protocols


An LLM Compiler for Parallel Function Calling


An LLM Feature-based Framework for Dialogue Constructiveness Assessment


An LLM's Apology: Outsourcing Awkwardness in the Age of AI


An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection


An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems


An LLM-Integrated Framework for Completion, Management, and Tracing of STPA


An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery


An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling


An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals


An LSTM approach to Forecast Migration using Google Trends


An LSTM-PINN Hybrid Method to the specific problem of population forecasting


An MCTS-DRL Based Obstacle and Occlusion Avoidance Methodology in Robotic Follow-Ahead Applications


An MPI-OpenMP mixing parallel open source FW-H code for aeroacoustics calculation


An MRC Framework for Semantic Role Labeling


An NMF-Based Building Block for Interpretable Neural Networks With Continual Learning


An Novel Explicit Method to Solve Linear Dispersive Media for Finite Difference Time Domain Scheme


An O(1) Algorithm for the Numerical Evaluation of the Prolate Spheroidal Wave Functions of Order 0


An O(n) method of calculating Kendall correlations of spike trains


An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability


An Objective for Hierarchical Clustering in Euclidean Space and its Connection to Bisecting K-means


An ObsPy library for event detection and seismic attribute calculation: preparing waveforms for automated analysis


An Observability-Constrained Magnetic Field-Aided Inertial Navigation System -- Extended Version


An Observationally-Derived Kick Distribution for Neutron Stars in Binary Systems


An Offline Delegatable Cryptocurrency System


An Offline Risk-aware Policy Selection Method for Bayesian Markov Decision Processes


An Online Adaptation Method for Robust Depth Estimation and Visual Odometry in the Open World


An Online Algorithm for Nonparametric Correlations


An Online Learning Analysis of Minimax Adaptive Control


An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives


An Online Multilingual Hate speech Recognition System


An Online Resource Scheduling for Maximizing Quality-of-Experience in Meta Computing


An Online Self-calibrating Refractive Camera Model with Application to Underwater Odometry


An Online Stochastic Optimization Approach for Insulin Intensification in Type 2 Diabetes with Attention to Pseudo-Hypoglycemia


An Ontological Approach to Analysing Social Service Provisioning


An Ontology Model for Climatic Data Analysis


An Ontology for the Materials Design Domain


An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise


An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems


An Open API Architecture to Discover the Trustworthy Explanation of Cloud AI Services


An Open Challenge Problem Repository for Systems Supporting Binders


An Open Dataset and Model for Language Identification


An Open Optimal Power Flow Model for the Australian National Electricity Market


An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces


An Open Quantum Chemistry Property Database of 120 Kilo Molecules with 20 Million Conformers


An Open Review of OpenReview: A Critical Analysis of the Machine Learning Conference Review Process


An Open Source Design Optimization Toolbox Evaluated on a Soft Finger


An Open Source Python Library for Anonymizing Sensitive Data


An Open Source Representation for the NYS Electric Grid to Support Power Grid and Market Transition Studies


An Open Source Software Stack for Tuning the Dynamical Behavior of Complex Power Systems


An Open Source Stochastic Unit Commitment Tool using the PyPSA-Framework


An Open Source, Versatile, Affordable Waves in Ice Instrument for Scientific Measurements in the Polar Regions


An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research


An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions


An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval Interface


An Open-Source Framework for Adaptive Traffic Signal Control


An Open-Source Framework for Efficient Numerically-Tailored Computations


An Open-Source Framework for Rapid Validation of Scientific ASICs


An Open-Source Gazebo Plugin for GNSS Multipath Signal Emulation in Virtual Urban Canyons


An Open-Source Knowledge Graph Ecosystem for the Life Sciences


An Open-Source Library for Information Reconciliation in Continuous-Variable QKD


An Open-Source Low-Cost Mobile Robot System with an RGB-D Camera and Efficient Real-Time Navigation Algorithm


An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators


An Open-Source P416 Compiler Backend for Reconfigurable Match-Action Table Switches


An Open-Source Python Framework and Synthetic ECG Image Datasets for Digitization, Lead and Lead Name Detection, and Overlapping Signal Segmentation


An Open-Source Reproducible Chess Robot for Human-Robot Interaction Research


An Open-Source Scenario Architect for Autonomous Vehicles


An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild


An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series


An Open-Source Web App for Creating and Scoring Qualtrics-based Implicit Association Test


An Open-Source, Physics-Based, Tropical Cyclone Downscaling Model with Intensity-Dependent Steering


An Open-World Extension to Knowledge Graph Completion Models


An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification


An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments


An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code: II. The Transit Radiative-transfer Module and Retrieval of HAT-P-11b


An Open-source Benchmark of Deep Learning Models for Audio-visual Apparent and Self-reported Personality Recognition


An Open-source Library of Large Integer Polynomial Multipliers


An Open-source Model for Simulation and Corrective Measure Assessment of the 2021 Texas Power Outage


An Open-source Sim2Real Approach for Sensor-independent Robot Navigation in a Grid


An Open-source Tool for Hyperspectral Image Augmentation in Tensorflow


An OpenMetBuoy dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023


An OpenMind for 3D medical vision self-supervised learning


An Operation Sequence Model for Explainable Neural Machine Translation


An Operational Framework for Nonclassicality in Quantum Communication Networks


An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations


An Operator Splitting Method for Large-Scale CVaR-Constrained Quadratic Programs


An Operator Theoretic Approach for Analyzing Sequence Neural Networks


An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator


An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms


An Optical Flow-Based Approach for Minimally-Divergent Velocimetry Data Interpolation


An Optical XNOR-Bitcount Based Accelerator for Efficient Inference of Binary Neural Networks


An Optically Thin View of the Flaring Chromosphere: Nonthermal widths in a chromospheric condensation during an X-class solar flare


An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks


An Optimal Control Approach to Learning in SIDARTHE Epidemic model


An Optimal Control Method to Compute the Most Likely Transition Path for Stochastic Dynamical Systems with Jumps


An Optimal Control Problem for Single-Spot Pulsed Laser Welding


An Optimal Polarization Tracking Algorithm for Lithium-Niobate-based Polarization Controllers


An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions


An Optimal-Time RLBWT Construction in BWT-runs Bounded Space


An Optimality Gap Test for a Semidefinite Relaxation of a Quadratic Program with Two Quadratic Constraints


An Optimization Approach to Learning Falling Rule Lists


An Optimization-based Approach for Flow Table Capacity Bottleneck Mitigation in Software-Defined Networks


An Optimized Ly$\alpha$ Forest Inversion Tool Based on a Quantitative Comparison of Existing Reconstruction Methods


An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites


An Optimized and Safety-aware Maintenance Framework: A Case Study on Aircraft Engine


An Optimized, Easy-to-use, Open-source GPU Solver for Large-scale Inverse Homogenization Problems


An Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation


An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data


An Ordinal Latent Variable Model of Conflict Intensity


An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs


An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis


An Organizationally-Oriented Approach to Enhancing Explainability and Control in Multi-Agent Reinforcement Learning


An Orientation Bias in Observations of Submillimetre Galaxies


An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks


An Overview and Comparison of Spectral Bundle Methods for Primal and Dual Semidefinite Programs


An Overview and Solution for Democratizing AI Workflows at the Network Edge


An Overview of Arithmetic Adaptations for Inference of Convolutional Neural Networks on Re-configurable Hardware


An Overview of Deep Learning Architectures in Few-Shot Learning Domain


An Overview of Deep Semi-Supervised Learning


An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation


An Overview of Structural Coverage Metrics for Testing Neural Networks


An Overview of the Data-Loader Landscape: Comparative Performance Analysis


An Overview of the NET Playground -- A Heterogeneous, Multi-Functional Network Test Bed


An Overview on Controllable Text Generation via Variational Auto-Encoders


An Overview on the Landscape of R Packages for Credit Scoring


An Real-Sim-Real (RSR) Loop Framework for Generalizable Robotic Policy Transfer with Differentiable Simulation


An SDP method for Fractional Semi-infinite Programming Problems with SOS-convex polynomials


An SEIR network epidemic model with manual and digital contact tracing allowing delays


An SMT-Based Approach for Verifying Binarized Neural Networks


An SOS counterexample to an inequality of symmetric functions


An STL-based Formulation of Resilience in Cyber-Physical Systems


An Unambiguous Separation of Gamma-Ray Bursts into Two Classes from Prompt Emission Alone


An Unbiased Predictor for Skewed Response Variable with Measurement Error in Covariate


An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes


An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph


An Uncertainty Estimation Framework for Probabilistic Object Detection


An Uncertainty Principle is a Price of Privacy-Preserving Microdata


An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems


An Uncertainty-Aware, Shareable and Transparent Neural Network Architecture for Brain-Age Modeling


An Uncertainty-guided Tiered Self-training Framework for Active Source-free Domain Adaptation in Prostate Segmentation


An Unconstrained Optimization Approach to Moment Fitting with Phase Type Distributions


An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks


An Understanding of Principal Differential Analysis


An Understanding-Oriented Robust Machine Reading Comprehension Model


An Underwater SLAM System using Sonar, Visual, Inertial, and Depth Sensor


An Undetectable Watermark for Generative Image Models


An Unregularized Third Order Newton Method


An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure


An Unsupervised Approach for Periodic Source Detection in Time Series


An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records


An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks


An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing


An Unsupervised Deep Learning Approach for Scenario Forecasts


An Unsupervised Deep Learning Method for Multi-coil Cine MRI


An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks


An Unsupervised Domain Adaptation Scheme for Single-Stage Artwork Recognition in Cultural Sites


An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing