Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context


EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning


EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations


Equivalence Checking of Quantum Finite-State Machines


Equivalence Checking of Sequential Quantum Circuits


Equivalence of Spatial and Particle Entanglement Growth After a Quantum Quench


Equivalence of restricted Boltzmann machines and tensor network states


Equivalence tests for binary efficacy-toxicity responses


Equivalence, Identity, and Unitarity Checking in Black-Box Testing of Quantum Programs


Equivalences of racks, Legendrian racks, and symmetric racks


Equivalent Distance Geometry Error for Molecular Conformation Comparison


Equivalent Rewritings on Path Views with Binding Patterns


Equivalent circuit and continuum modeling of the impedance of electrolyte-filled pores


Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets


Equivariance Discovery by Learned Parameter-Sharing


Equivariance Everywhere All At Once: A Recipe for Graph Foundation Models


Equivariance and Invariance Inductive Bias for Learning from Insufficient Data


Equivariance versus Augmentation for Spherical Images


Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency


Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design


Equivariant Architectures for Learning in Deep Weight Spaces


Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation


Equivariant Contrastive Learning for Sequential Recommendation


Equivariant Cosheaves and Finite Group Representations in Graphic Statics


Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models


Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning


Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models


Equivariant Energy Flow Networks for Jet Tagging


Equivariant Energy-Guided SDE for Inverse Molecular Design


Equivariant Frames and the Impossibility of Continuous Canonicalization


Equivariant Graph Attention Networks with Structural Motifs for Predicting Cell Line-Specific Synergistic Drug Combinations


Equivariant Graph Hierarchy-Based Neural Networks


Equivariant Graph Mechanics Networks with Constraints


Equivariant Graph Neural Networks for Charged Particle Tracking


Equivariant Graph Neural Operator for Modeling 3D Dynamics


Equivariant Hypergraph Diffusion Neural Operators


Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology


Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes


Equivariant Machine Learning Decoder for 3D Toric Codes


Equivariant Machine Learning Interatomic Potentials with Global Charge Redistribution


Equivariant Message Passing Neural Network for Crystal Material Discovery


Equivariant Neural Diffusion for Molecule Generation


Equivariant Neural Networks for Spin Dynamics Simulations of Itinerant Magnets


Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics


Equivariant Parameter Sharing for Porous Crystalline Materials


Equivariant Point Cloud Analysis via Learning Orientations for Message Passing


Equivariant Point Network for 3D Point Cloud Analysis


Equivariant QAOA and the Duel of the Mixers


Equivariant Representation Learning in the Presence of Stabilizers


Equivariant Representation Learning via Class-Pose Decomposition


Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms


Equivariant Self-Supervision for Musical Tempo Estimation


Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design


Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics


Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time


Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data


Equivariant Subgraph Aggregation Networks


Equivariant Transduction through Invariant Alignment


Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms


Equivariant and Invariant Grounding for Video Question Answering


Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks


Equivariant log concavity and representation stability


Equivariant neural networks and equivarification


Equivariant neural networks and piecewise linear representation theory


Equivariant neural networks for inverse problems


Equivariant spatio-hemispherical networks for diffusion MRI deconvolution


Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification


ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction


Era Splitting: Invariant Learning for Decision Trees


EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora


Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning


Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction


EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers


Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge


Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning


Erasing Conceptual Knowledge from Language Models


Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking


Erasing Undesirable Influence in Diffusion Models


Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models


Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning


Erasing with Precision: Evaluating Specific Concept Erasure from Text-to-Image Generative Models


Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification


Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs


Ered: Enhanced Text Representations with Entities and Descriptions


Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System


Ergodic Coverage In Constrained Environments Using Stochastic Trajectory Optimization


Ergodic Exploration using Tensor Train: Applications in Insertion Tasks


Ergodic SDEs on submanifolds and related numerical sampling schemes


Ergodic theory, Dynamic Mode Decomposition and Computation of Spectral Properties of the Koopman operator


Ergodicity of Langevin Dynamics and its Discretizations for Non-smooth Potentials


Ergodicity of one-dimensional systems coupled to the logistic thermostat


Ergodicity-breaking reveals time optimal decision making in humans


Erie: A Declarative Grammar for Data Sonification


Eris: Measuring discord among multidimensional data sources


Err on the Side of Texture: Texture Bias on Real Data


Error Analysis and Parallel Scaling Study of A Parareal Parallel-in-Time Integration Algorithm for Particle-in-Fourier Schemes


Error Analysis for the Implicit Boundary Integral Method


Error Analysis of Sum-Product Algorithms under Stochastic Rounding


Error Crafting in Mixed Quantum Gate Synthesis


Error Detection for Text-to-SQL Semantic Parsing


Error Diffusion Halftoning Against Adversarial Examples


Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing


Error Estimates for Data-driven Weakly Convex Frame-based Image Regularization


Error Estimation for Random Fourier Features


Error Estimation for Single-Image Human Body Mesh Reconstruction


Error Mitigation for Deep Quantum Optimization Circuits by Leveraging Problem Symmetries


Error Mitigation of BQP Computations using Measurement-Based Verification


Error Optimization: Overcoming Exponential Signal Decay in Deep Predictive Coding Networks


Error Profile for Discontinuous Galerkin Time Stepping of Parabolic PDEs


Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning


Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision


Error analysis for a parabolic PDE model problem on a coupled moving domain in a fully Eulerian framework


Error analysis of quantum operators written as a linear combination of permutations


Error bound analysis of the stochastic parareal algorithm


Error control in the numerical posterior distribution in the Bayesian UQ analysis of a semilinear evolution PDE


Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance


Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images


Error estimates for the approximation of multibang control problems


Error mitigation for variational quantum algorithms through mid-circuit measurements


Error mitigation increases the effective quantum volume of quantum computers


Error suppression in multicomponent cat codes with photon subtraction and teleamplification


Error-Bounded Correction of Noisy Labels


Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-Set Method


Error-Robust Retrieval for Chinese Spelling Check


Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass


Error-mitigated fermionic classical shadows on noisy quantum devices


Error-mitigated photonic quantum circuit Born machine


Error-preserving Automatic Speech Recognition of Young English Learners' Language


Error-quantified Conformal Inference for Time Series


Errors When Constraining Hot Blackbody Parameters with Optical Photometry


Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting


Errors in single pixel photography emerging from light collection limits by the bucket detector


Errors-in-variables Modeling of Personalized Treatment-Response Trajectories


Eruption and propagation of twisted flux ropes from the base of the solar corona to 1 au


Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems


Eryn : A multi-purpose sampler for Bayesian inference


Escalation Risks from Language Models in Military and Diplomatic Decision-Making


Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning


EscapeBench: Pushing Language Models to Think Outside the Box


Escaping The Big Data Paradigm in Self-Supervised Representation Learning


Escaping from Collapsing Modes in a Constrained Space


Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems


Escaping mediocrity: how two-layer networks learn hard generalized linear models with SGD


Escaping saddle points in zeroth-order optimization: the power of two-point estimators


Escaping the Forest: Sparse Interpretable Neural Networks for Tabular Data


Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism


Escaping the abstraction: a foreign function interface for the Unified Form Language [UFL]


Escaping the maze: a statistical sub-grid model for cloud-scale density structures in the interstellar medium


Escaping the sentence-level paradigm in machine translation


EscherNet: A Generative Model for Scalable View Synthesis


EsmamDS: A more diverse exceptional survival model mining approach


Esophageal Tumor Segmentation in CT Images using Dilated Dense Attention Unet (DDAUnet)


EspalomaCharge: Machine learning-enabled ultra-fast partial charge assignment


Espresso: Efficient Forward Propagation for BCNNs


EspressoDB: A scientific database for managing high-performance computing workflow


Essential Motor Cortex Signal Processing: an ERP and functional connectivity MATLAB toolbox -- user guide version 2.0


Essential difference between 2D and 3D from the perspective of real-space renormalization group


Essential-Web v1.0: 24T tokens of organized web data


Essentially No Barriers in Neural Network Energy Landscape


Essentials for Class Incremental Learning


Establishing Central Sensitization Inventory Cut-off Values in patients with Chronic Low Back Pain by Unsupervised Machine Learning


Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics


Establishing Markov Equivalence in Cyclic Directed Graphs


Establishing Rigorous and Cost-effective Clinical Trials for Artificial Intelligence Models


Establishing Shared Query Understanding in an Open Multi-Agent System


Establishing Strong Baselines for TripClick Health Retrieval


Establishing Strong Baselines for the New Decade: Sequence Tagging, Syntactic and Semantic Parsing with BERT


Establishing Vocabulary Tests as a Benchmark for Evaluating Large Language Models


Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics


Establishing baselines for generative discovery of inorganic crystals


Establishing the Parallels and Differences Between Right-Censored and Missing Covariates


Establishing validated standards for Home and Work location Detection


Estimate of the Neural Network Dimension Using Algebraic Topology and Lie Theory


Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval


Estimated Depth Map Helps Image Classification


Estimates for the Branching Factors of Atari Games


Estimates of the social cost of carbon have increased over time


Estimates on the dimension of self-similar measures with overlaps


Estimating Absolute-Phase Maps Using ESPIRiT and Virtual Conjugate Coils


Estimating Appearance Models for Image Segmentation via Tensor Factorization


Estimating Associations Between Cumulative Exposure and Health via Generalized Distributed Lag Non-Linear Models using Penalized Splines


Estimating Atmospheric Parameters from LAMOST Low-Resolution Spectra with Low SNR


Estimating Atmospheric Variables from Digital Typhoon Satellite Images via Conditional Denoising Diffusion Models


Estimating Attention Flow in Online Video Networks


Estimating Average Treatment Effects via Orthogonal Regularization


Estimating Barycenters of Distributions with Neural Optimal Transport


Estimating Black Hole Spin from AGN SED Fitting: The Impact of General-Relativistic Ray Tracing


Estimating Bolometric Luminosities of Type 1 Quasars with Self-Organizing Maps


Estimating Broad Sense Heritability via Kernel Ridge Regression


Estimating Buildings' Parameters over Time Including Prior Knowledge


Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People Who Inject Drugs


Estimating Causal Effects of Tone in Online Debates


Estimating Causal Effects with Hidden Confounding using Instrumental Variables and Environments


Estimating Cellular Goals from High-Dimensional Biological Data


Estimating Complier Average Causal Effects with Mixtures of Experts


Estimating Conditional Average Treatment Effects with Missing Treatment Information


Estimating Conditional Distributions with Neural Networks using R package deeptrafo


Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms


Estimating Conditional Mutual Information for Dynamic Feature Selection


Estimating Correctness Without Oracles in LLM-Based Code Generation


Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations


Estimating Countries with Similar Maternal Mortality Rate using Cluster Analysis and Pairing Countries with Identical MMR


Estimating Density Models with Truncation Boundaries using Score Matching


Estimating Design Operating Characteristics in Bayesian Adaptive Clinical Trials


Estimating Differential Latent Variable Graphical Models with Applications to Brain Connectivity


Estimating Displaced Populations from Overhead


Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction


Estimating Distributions with Low-dimensional Structures Using Mixtures of Generative Models


Estimating Dust Temperature and Far-IR Luminosity of High-Redshift Galaxies using ALMA Single-Band Continuum Observations


Estimating Egocentric 3D Human Pose in Global Space


Estimating Environmental Cost Throughout Model's Adaptive Life Cycle


Estimating Epistemic and Aleatoric Uncertainty with a Single Model


Estimating Error and Bias in Offline Evaluation Results


Estimating Example Difficulty Using Variance of Gradients


Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets


Estimating Fiber Orientation Distribution through Blockwise Adaptive Thresholding with Application to HCP Young Adults Data


Estimating Galaxy Redshift in Radio-Selected Datasets using Machine Learning


Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression


Estimating Generalization under Distribution Shifts via Domain-Invariant Representations


Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks


Estimating Graph Dimension with Cross-validated Eigenvalues


Estimating Graphlet Statistics via Lifting


Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis


Estimating Heterogeneous Causal Mediation Effects with Bayesian Decision Tree Ensembles


Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data


Estimating Idea Production: A Methodological Survey


Estimating Image Depth in the Comics Domain


Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review


Estimating Individual Treatment Effects with Time-Varying Confounders


Estimating Ion Temperatures at the Polar Coronal Hole Boundary


Estimating Koopman operators with sketching to provably learn large scale dynamical systems


Estimating LLM Uncertainty with Evidence


Estimating Large Language Model Capabilities without Labeled Test Data


Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes


Estimating Lexical Complexity from Document-Level Distributions


Estimating Lower Body Kinematics using a Lie Group Constrained Extended Kalman Filter and Reduced IMU Count


Estimating MCMC convergence rates using common random number simulation


Estimating Max-Stable Random Vectors with Discrete Spectral Measure using Model-Based Clustering


Estimating Maximal Symmetries of Regression Functions via Subgroup Lattices


Estimating Model Performance on External Samples from Their Limited Statistical Characteristics


Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores


Estimating Monte Carlo variance from multiple Markov chains


Estimating Multi-chirp Parameters using Curvature-guided Langevin Monte Carlo


Estimating Mutual Information via Geodesic $k$NN


Estimating Network Processes via Blind Identification of Multiple Graph Filters


Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans


Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning


Estimating On-road Transportation Carbon Emissions from Open Data of Road Network and Origin-destination Flow Data


Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization


Estimating Option Pricing Models Using a Characteristic Function-Based Linear State Space Representation


Estimating Population Average Causal Effects in the Presence of Non-Overlap: The Effect of Natural Gas Compressor Station Exposure on Cancer Mortality


Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs


Estimating Predictive Uncertainty Under Program Data Distribution Shift


Estimating Probability Densities with Transformer and Denoising Diffusion


Estimating Properties of Social Networks via Random Walk considering Private Nodes


Estimating Psychological Networks and their Accuracy: A Tutorial Paper


Estimating Racial Disparities When Race is Not Observed


Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning


Estimating Remaining Lifespan from the Face


Estimating Risk-Adjusted Hospital Performance


Estimating Rényi's $α$-Cross-Entropies in a Matrix-Based Way


Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples


Estimating Shape Distances on Neural Representations with Limited Samples


Estimating Single-Node PageRank in $\tilde{O}\left(\min\{d_t, \sqrt{m}\}\right)$ Time


Estimating Social Influence from Observational Data


Estimating Software Reliability Using Size-biased Modelling


Estimating Solar Irradiance Using Sky Imagers


Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation


Estimating Statistical Uncertainties of Internal Kinematics of Galaxies and Star Clusters Derived Using Full Spectrum Fitting


Estimating Structural Target Functions using Machine Learning and Influence Functions


Estimating The Effect Of Subscription based Streaming Services On The Demand For Game Consoles


Estimating Total Lung Volume from Pixel-level Thickness Maps of Chest Radiographs Using Deep Learning


Estimating Treatment Effects Under Heterogeneous Interference


Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder


Estimating Uncertainty Intervals from Collaborating Networks


Estimating Varying Parameters in Dynamical Systems: A Modular Framework Using Switch Detection, Optimization, and Sparse Regression


Estimating Vector Fields from Noisy Time Series


Estimating Visibility from Alternate Perspectives for Motion Planning with Occlusions


Estimating Visual Information From Audio Through Manifold Learning


Estimating WebRTC Video QoE Metrics Without Using Application Headers


Estimating a Brain Network Predictive of Stress and Genotype with Supervised Autoencoders


Estimating a Causal Exposure Response Function with a Continuous Error-Prone Exposure: A Study of Fine Particulate Matter and All-Cause Mortality


Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with Trend


Estimating adult death rates from sibling histories: A network approach


Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values


Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation


Estimating and accounting for unobserved covariates in high dimensional correlated data


Estimating articulatory movements in speech production with transformer networks


Estimating average causal effects from patient trajectories


Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning


Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv


Estimating cellular redundancy in networks of genetic expression


Estimating complete basis set extrapolation error through random walk


Estimating effective population size changes from preferentially sampled genetic sequences


Estimating entropy production from waiting time distributions


Estimating entropy production in a stochastic system with odd-parity variables


Estimating excess mortality during the Covid-19 pandemic in Aotearoa New Zealand


Estimating excess mortality in high-income countries during the COVID-19 pandemic


Estimating fine age structure and time trends in human contact patterns from coarse contact data: the Bayesian rate consistency model


Estimating fractal dimensions: a comparative review and open source implementations


Estimating g-Leakage via Machine Learning


Estimating heterogeneous survival treatment effect in observational data using machine learning


Estimating heterogeneous wildfire effects using synthetic controls and satellite remote sensing


Estimating household contact matrices structure from easily collectable metadata


Estimating individual contributions to team success in women's college volleyball


Estimating individual treatment effects under unobserved confounding using binary instruments


Estimating initial conditions for dynamical systems with incomplete information


Estimating invasive rodent abundance using removal data and hierarchical models


Estimating irregular water demands with physics-informed machine learning to inform leakage detection


Estimating latent linear correlations from fuzzy frequency tables


Estimating mean profiles and fluxes in high-speed turbulent boundary layers using inner/outer-layer transformations


Estimating means of bounded random variables by betting


Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data


Estimating nested expectations without inner conditional sampling and application to value of information analysis


Estimating network edge probabilities by neighborhood smoothing


Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia


Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality


Estimating predictive uncertainty for rumour verification models


Estimating prevalence with precision and accuracy


Estimating relapse time distribution from longitudinal biomarker trajectories using iterative regression and continuous time Markov processes


Estimating risk factors for pathogenic dose accrual from longitudinal data


Estimating spillovers using imprecisely measured networks


Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model


Estimating the Causal Effect of Early ArXiving on Paper Acceptance


Estimating the Causal Effects of T Cell Receptors


Estimating the Complier Average Causal Effect in Randomised Controlled Trials with Non-Compliance: A Comparative Simulation Study of the Instrumental Variables and Per-Protocol Analyses


Estimating the Conformal Prediction Threshold from Noisy Labels


Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications


Estimating the Coverage Measure and the Area Explored by a Line-Sweep Sensor on the Plane


Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks


Estimating the FDR of variable selection


Estimating the Heritability of Longitudinal Rate-of-Change: Genetic Insights into PSA Velocity in Prostate Cancer-Free Individuals


Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees


Estimating the Impact of BGP Prefix Hijacking


Estimating the Impact of Weather on Agriculture


Estimating the Instantaneous Reproduction Number With Imperfect Data: A Method to Account for Case-Reporting Variation and Serial Interval Uncertainty


Estimating the Jones polynomial for Ising anyons on noisy quantum computers


Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets


Estimating the Likelihood of Arrest from Police Records in Presence of Unreported Crimes


Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks


Estimating the Number of Components in Finite Mixture Models via the Group-Sort-Fuse Procedure


Estimating the Optimal Linear Combination of Biomarkers using Spherically Constrained Optimization


Estimating the Percentage of GBS Advantage in Gaussian Expectation Problems


Estimating the Probabilities of Rare Outputs in Language Models


Estimating the Probability that a Function Observed with Noise is Convex


Estimating the Repertoire Size in Birds using Unsupervised Clustering techniques


Estimating the Sampling Distribution of Posterior Decision Summaries in Bayesian Clinical Trials


Estimating the Success of Unsupervised Image to Image Translation


Estimating the Total Volume of Queries to a Search Engine


Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression


Estimating the causal effects of multiple intermittent treatments with application to COVID-19


Estimating the change in soccer's home advantage during the Covid-19 pandemic using bivariate Poisson regression


Estimating the correlation between operational risk loss categories over different time horizons


Estimating the distribution of numerosity and non-numerical visual magnitudes in natural scenes using computer vision


Estimating the effective dimension of large biological datasets using Fisher separability analysis


Estimating the effective reproduction number for heterogeneous models using incidence data


Estimating the effects of a California gun control program with Multitask Gaussian Processes


Estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise


Estimating the entanglement of random multipartite quantum states


Estimating the epidemic threshold under individual vaccination behaviour and adaptive social connections: A game-theoretic complex network model


Estimating the error in CG-like algorithms for least-squares and least-norm problems


Estimating the gradient and higher-order derivatives on quantum hardware


Estimating the health effects of environmental mixtures using Bayesian semiparametric regression and sparsity inducing priors


Estimating the household secondary attack rate with the Incomplete Chain Binomial model


Estimating the hyperuniformity exponent of point processes


Estimating the lifetime risk of a false positive screening test result


Estimating the limiting shape of bivariate scaled sample clouds: with additional benefits of self-consistent inference for existing extremal dependence properties


Estimating the number and effect sizes of non-null hypotheses


Estimating the number of COVID-19 cases from population isolation level


Estimating the number of casualties in the American Indian war: a Bayesian analysis using the power law distribution


Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update


Estimating the number of reachable positions in Minishogi


Estimating the parameters of ocean wave spectra


Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model


Estimating the stability number of a random graph using convolutional neural networks


Estimating the two-particle $K$-matrix for multiple partial waves and decay channels from finite-volume energies


Estimating the volumes of correlations sets in causal networks


Estimating transformative agreement impact on hybrid open access: A comparative large-scale study using Scopus, Web of Science and open metadata


Estimating treatment effects from single-arm trials via latent-variable modeling


Estimating uncertainty of earthquake rupture using Bayesian neural network


Estimating variances in time series linear regression models using empirical BLUPs and convex optimization


Estimation Enhancing in Optoelectronic Property: A Novel Approach Using Orbital Interaction Parameters and Tight-Binding


Estimation and Analysis of Slice Propagation Uncertainty in 3D Anatomy Segmentation


Estimation and Feature Selection in Mixtures of Generalized Linear Experts Models


Estimation and Inference for Change Points in Functional Regression Time Series


Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach


Estimation and Inference for Multivariate Continuous-time Autoregressive Processes


Estimation and Inference in Distributional Reinforcement Learning


Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions


Estimation and Restoration of Unknown Nonlinear Distortion using Diffusion


Estimation and convergence rates in the distributional single index model


Estimation and imputation in Probabilistic Principal Component Analysis with Missing Not At Random data


Estimation and inference for minimizer and minimum of convex functions: optimality, adaptivity and uncertainty principles


Estimation and inference in metabolomics with non-random missing data and latent factors


Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score


Estimation from Indirect Supervision with Linear Moments


Estimation of Air Pollution with Remote Sensing Data: Revealing Greenhouse Gas Emissions from Space


Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum


Estimation of Climbing Route Difficulty using Whole-History Rating


Estimation of Closest In-Path Vehicle (CIPV) by Low-Channel LiDAR and Camera Sensor Fusion for Autonomous Vehicle


Estimation of Concept Explanations Should be Uncertainty Aware


Estimation of Consistent Time Delays in Subsample via Auxiliary-Function-Based Iterative Updates


Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach


Estimation of Covid-19 Prevalence from Serology Tests: A Partial Identification Approach


Estimation of Dynamic Gaussian Processes


Estimation of Dynamic Origin-Destination Matrices in a Railway Transportation Network integrating Ticket Sales and Passenger Count Data


Estimation of Expected Euler Characteristic Curves of Nonstationary Smooth Gaussian Random Fields


Estimation of Failure Probabilities via Local Subset Approximations


Estimation of Head Motion in Structural MRI and its Impact on Cortical Thickness Measurements in Retrospective Data


Estimation of Health and Demographic Indicators with Incomplete Geographic Information


Estimation of Impulse-Response Functions with Dynamic Factor Models: A New Parametrization


Estimation of KL Divergence: Optimal Minimax Rate


Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations


Estimation of Latent Group Structures in Time-Varying Panel Data Models


Estimation of Optical Aberrations in 3D Microscopic Bioimages


Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data


Estimation of Photometric Redshifts. I. Machine Learning Inference for Pan-STARRS1 Galaxies Using Neural Networks


Estimation of Reliable Proposal Quality for Temporal Action Detection


Estimation of Semiconductor Power Losses Through Automatic Thermal Modeling


Estimation of Spectral Biophysical Skin Properties from Captured RGB Albedo


Estimation of Systemic Shortfall Risk Measure using Stochastic Algorithms


Estimation of Treatment Harm Rate via Partitioning


Estimation of Warfarin Dosage with Reinforcement Learning


Estimation of a Likelihood Ratio Ordered Family of Distributions


Estimation of a Low-rank Topic-Based Model for Information Cascades


Estimation of causal effects with small data in the presence of trapdoor variables


Estimation of cell lineage trees by maximum-likelihood phylogenetics


Estimation of circular statistics in the presence of measurement bias


Estimation of conditional inequality curves and measures via estimating the conditional quantile function


Estimation of continuous environments by robot swarms: Correlated networks and decision-making


Estimation of control area in badminton doubles with pose information from top and back view drone videos


Estimation of copulas via Maximum Mean Discrepancy


Estimation of discrete choice models with hybrid stochastic adaptive batch size algorithms


Estimation of entropy-regularized optimal transport maps between non-compactly supported measures


Estimation of finite population proportions for small areas -- a statistical data integration approach


Estimation of genome size using k-mer frequencies from corrected long reads


Estimation of high-dimensional unitary transformations saturating the Quantum Cramér-Rao bound


Estimation of ill-conditioned models using penalized sums of squares of the residuals


Estimation of motion blur kernel parameters using regression convolutional neural networks


Estimation of neuronal interaction graph from spike train data


Estimation of partially known Gaussian graphical models with score-based structural priors


Estimation of ratios of normalizing constants using stochastic approximation : the SARIS algorithm


Estimation of singly-transiting K2 planet periods with Gaia parallaxes


Estimation of solar irradiance using ground-based whole sky imagers


Estimation of spatio-temporal extremes via generative neural networks


Estimation of speaker age and height from speech signal using bi-encoder transformer mixture model


Estimation of spectral gaps for sparse symmetric matrices


Estimation of subsidiary performance metrics under optimal policies


Estimation of the Impact of COVID-19 Pandemic Lockdowns on Breast Cancer Deaths and Costs in Poland using Markovian Monte Carlo Simulation


Estimation of the Number Needed to Treat, the Number Needed to be Exposed, and the Exposure Impact Number with Instrumental Variables


Estimation of the genetic Gaussian network using GWAS summary data


Estimation of the incubation time distribution in the singly and doubly interval censored model


Estimation of the masses in the Local Group by Gradient Boosted Decision Trees


Estimation of the non-linear parameter in Generalised Diversity-Interactions models is unaffected by change in structure of the interaction terms


Estimation of the volume of the left ventricle from MRI images using deep neural networks


Estimation of time-varying recovery and death rates from epidemiological data: A new approach


Estimation with missing not at random binary outcomes via exponential tilts


Estimation-Aware Trajectory Optimization with Set-Valued Measurement Uncertainties


Estimations of means and variances in a Markov linear model


Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training


Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples


Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing


EthCluster: An Unsupervised Static Analysis Method for Ethereum Smart Contract


Ethereum's Proposer-Builder Separation: Promises and Realities


Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning


Ethical Challenges in Data-Driven Dialogue Systems


Ethical Considerations for Responsible Data Curation


Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?


Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models


Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation


Ethics in rotten apples: A network epidemiology approach for active cyber defense


Ethnicity sensitive author disambiguation using semi-supervised learning


EthosGPT: Mapping Human Value Diversity to Advance Sustainable Development Goals (SDGs)


EtiCor++: Towards Understanding Etiquettical Bias in LLMs


EtiCor: Corpus for Analyzing LLMs for Etiquettes


EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention


EuLearn: A 3D database for learning Euler characteristics


EuSQuAD: Automatically Translated and Aligned SQuAD2.0 for Basque


Euclid Preparation. TBD. Impact of magnification on spectroscopic galaxy clustering


Euclid Quick Data Release (Q1): First visual morphology catalogue


Euclid preparation LXXI. Simulations and nonlinearities beyond $\mathsfΛ$CDM. 3. Constraints on $f(R)$ models from the photometric primary probes


Euclid preparation. L. Calibration of the linear halo bias in $Λ(ν)$CDM cosmologies


Euclid preparation. LIII. LensMC, weak lensing cosmic shear measurement with forward modelling and Markov Chain Monte Carlo sampling


Euclid preparation. LIX. Angular power spectra from discrete observations


Euclid preparation: II. The EuclidEmulator -- A tool to compute the cosmology dependence of the nonlinear matter power spectrum


Euclid preparation: IX. EuclidEmulator2 -- Power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations


Euclid: Covariance of weak lensing pseudo-$C_\ell$ estimates. Calculation, comparison to simulations, and dependence on survey geometry


Euclid: Early Release Observations -- Globular clusters in the Fornax galaxy cluster, from dwarf galaxies to the intracluster field


Euclid: Photometric redshift calibration with the clustering redshifts technique


Euclid: Validation of the MontePython forecasting tools


Euclidean Affine Functions and Applications to Calendar Algorithms


Euclidean Capacitated Vehicle Routing in Random Setting: A $1.55$-Approximation Algorithm


Euclidean Distance to Convex Polyhedra and Application to Class Representation in Spectral Images


Euclidean mirrors and first-order changepoints in network time series


Euclidean plane and its relatives; a minimalist introduction


Eudoxia: a FaaS scheduling simulator for the composable lakehouse


Euler Characteristic Tools For Topological Data Analysis


Euler State Networks: Non-dissipative Reservoir Computing


Euler simulation of interacting particle systems and McKean-Vlasov SDEs with fully superlinear growth drifts in space and interaction


EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention


EulerMerge: Simplifying Euler Diagrams Through Set Merges


EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer


Eulerian Formulation of the Tensor-Based Morphology Equations for Strain-Based Blood Damage Modeling


Eulerian simulation of complex suspensions and biolocomotion in three dimensions


Eulerian-Lagrangian Fluid Simulation on Particle Flow Maps


Eunomia: Enabling User-specified Fine-Grained Search in Symbolically Executing WebAssembly Binaries


EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data


Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems


Eureka: Human-Level Reward Design via Coding Large Language Models


EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification


European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry


Ev-3DOD: Pushing the Temporal Boundaries of 3D Object Detection with Event Cameras


Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition


EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual Hulls


EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields


EvDetMAV: Generalized MAV Detection from Moving Event Cameras


EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation


EvEnhancer: Empowering Effectiveness, Efficiency and Generalizability for Continuous Space-Time Video Super-Resolution with Events


EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting


EvLog: Identifying Anomalous Logs over Software Evolution


EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision


EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based Vision


EvTL: A Temporal Logic for the Transient Analysis of Cyber-Physical Systems


EvTexture: Event-driven Texture Enhancement for Video Super-Resolution


Eva: Attribute-Aware Network Segmentation


EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation


EvaNet: Elevation-Guided Flood Extent Mapping on Earth Imagery (Extended Version)


Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention


EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection


Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent


Evading Black-box Classifiers Without Breaking Eggs


Evading Data Contamination Detection for Language Models is (too) Easy


Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces


Evading Watermark based Detection of AI-Generated Content


Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction


EvalAI: Towards Better Evaluation Systems for AI Agents


EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models


EvalCrafter: Benchmarking and Evaluating Large Video Generation Models


EvalYaks: Instruction Tuning Datasets and LoRA Fine-tuned Models for Automated Scoring of CEFR B2 Speaking Assessment Transcripts


Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements


Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net


Evaluate Geometry of Radiance Fields with Low-frequency Color Prior


Evaluate Quantum Combinatorial Optimization for Distribution Network Reconfiguration


EvaluateXAI: A Framework to Evaluate the Reliability and Consistency of Rule-based XAI Techniques for Software Analytics Tasks


Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG


Evaluating 21st Century Skills Development through Makerspace Workshops in Computer Science Education


Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification


Evaluating AI Recruitment Sourcing Tools by Human Preference


Evaluating AI capabilities in detecting conspiracy theories on YouTube


Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust


Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles


Evaluating Adversarial Attacks on Traffic Sign Classifiers beyond Standard Baselines


Evaluating Adversarial Robustness of Low dose CT Recovery


Evaluating Agent Interactions Through Episodic Knowledge Graphs


Evaluating Agents using Social Choice Theory


Evaluating Algorithmic Bias in Models for Predicting Academic Performance of Filipino Students


Evaluating Attribute Comprehension in Large Vision-Language Models


Evaluating Attribution Methods using White-Box LSTMs


Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark


Evaluating Automatic Metrics with Incremental Machine Translation Systems


Evaluating Bayes Error Estimators on Real-World Datasets with FeeBee


Evaluating Bias In Dutch Word Embeddings


Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models


Evaluating Biased Attitude Associations of Language Models in an Intersectional Context


Evaluating Biases in Context-Dependent Health Questions


Evaluating Blocking Biases in Entity Matching


Evaluating COVID-19 vaccine allocation policies using Bayesian $m$-top exploration


Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality


Evaluating Cell Type Inference in Vision Language Models Under Varying Visual Context


Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works


Evaluating ChatGPT as a Recommender System: A Rigorous Approach


Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness


Evaluating ChatGPT-3.5 Efficiency in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis


Evaluating ChatGPT-4 Vision on Brazil's National Undergraduate Computer Science Exam


Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models


Evaluating Code Readability and Legibility: An Examination of Human-centric Studies


Evaluating Code Summarization Techniques: A New Metric and an Empirical Characterization


Evaluating Coherence in Dialogue Systems using Entailment


Evaluating Commit Message Generation: To BLEU Or Not To BLEU?


Evaluating Commonsense in Pre-trained Language Models


Evaluating Compositional Scene Understanding in Multimodal Generative Models


Evaluating Context for Deep Object Detectors


Evaluating Contextualized Language Models for Hungarian


Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts


Evaluating Contrastive Feedback for Effective User Simulations


Evaluating Conversational Recommender Systems via User Simulation


Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering


Evaluating Creative Short Story Generation in Humans and Large Language Models


Evaluating Creativity and Deception in Large Language Models: A Simulation Framework for Multi-Agent Balderdash


Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning


Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas


Evaluating Data Attribution for Text-to-Image Models


Evaluating Deep Neural Networks in Deployment (A Comparative and Replicability Study)


Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild


Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations


Evaluating Defensive Distillation For Defending Text Processing Neural Networks Against Adversarial Examples


Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness


Evaluating Dialect Robustness of Language Models via Conversation Understanding


Evaluating Dialogue Generation Systems via Response Selection


Evaluating Diverse Large Language Models for Automatic and General Bug Reproduction


Evaluating Diversity in Automatic Poetry Generation


Evaluating Document Representations for Content-based Legal Literature Recommendations


Evaluating Effects of Background Stories on Graph Perception


Evaluating Elements of Web-based Data Enrichment for Pseudo-Relevance Feedback Retrieval


Evaluating Emotion Arcs Across Languages: Bridging the Global Divide in Sentiment Analysis


Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP


Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory


Evaluating Evidence Attribution in Generated Fact Checking Explanations


Evaluating Explainability for Graph Neural Networks


Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics


Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?


Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded Approach


Evaluating Explanation Methods for Multivariate Time Series Classification


Evaluating Explanations: How much do explanations from the teacher aid students?


Evaluating Factual Consistency of Texts with Semantic Role Labeling


Evaluating Factuality in Generation with Dependency-level Entailment


Evaluating Factuality in Text Simplification


Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts


Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface


Evaluating Feature Attribution Methods for Electrocardiogram


Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data


Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question Answering


Evaluating GPT-3 Generated Explanations for Hateful Content Moderation


Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations


Evaluating Gait Symmetry with a Smart Robotic Walker: A Novel Approach to Mobility Assessment


Evaluating Gender Bias in Natural Language Inference


Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels


Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks


Evaluating Generalizability of Fine-Tuned Models for Fake News Detection


Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification


Evaluating Generative Adversarial Networks on Explicitly Parameterized Distributions


Evaluating Generative Language Models in Information Extraction as Subjective Question Correction


Evaluating Generative Models for Graph-to-Text Generation


Evaluating German Transformer Language Models with Syntactic Agreement Tests


Evaluating Google's Protected Audience Protocol


Evaluating Gradient Inversion Attacks and Defenses in Federated Learning


Evaluating Graph Generative Models with Contrastively Learned Features


Evaluating HPX and Kokkos on RISC-V using an Astrophysics Application Octo-Tiger


Evaluating Hallucinations in Chinese Large Language Models


Evaluating How Developers Use General-Purpose Web-Search for Code Retrieval


Evaluating How Fine-tuning on Bimodal Data Effects Code Generation


Evaluating Human-Language Model Interaction


Evaluating IOMMU-Based Shared Virtual Addressing for RISC-V Embedded Heterogeneous SoCs


Evaluating Impact of Social Media Posts by Executives on Stock Prices


Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective


Evaluating Independence and Conditional Independence Measures


Evaluating Induced CCG Parsers on Grounded Semantic Parsing


Evaluating Informal-Domain Word Representations With UrbanDictionary


Evaluating Intelligence via Trial and Error


Evaluating Inter-Bilingual Semantic Parsing for Indian Languages


Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models


Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators


Evaluating Knowledge-based Cross-lingual Inconsistency in Large Language Models


Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval


Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History


Evaluating LLM Reasoning in the Operations Research Domain with ORQA


Evaluating LLM-based Personal Information Extraction and Countermeasures


Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving


Evaluating LLMs Effectiveness in Detecting and Correcting Test Smells: An Empirical Study


Evaluating LLMs at Detecting Errors in LLM Responses


Evaluating LLMs for Quotation Attribution in Literary Texts: A Case Study of LLaMa3


Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts


Evaluating LLMs' Assessment of Mixed-Context Hallucination Through the Lens of Summarization


Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions


Evaluating LLP Methods: Challenges and Approaches


Evaluating Language Model Agency through Negotiations


Evaluating Language Model Character Traits


Evaluating Language Models For Threat Detection in IoT Security Logs


Evaluating Language Models as Synthetic Data Generators


Evaluating Language Models for Knowledge Base Completion


Evaluating Language Models for Mathematics through Interactions


Evaluating Large Language Model Biases in Persona-Steered Generation


Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization


Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation


Evaluating Large Language Models at Evaluating Instruction Following


Evaluating Large Language Models for Anxiety and Depression Classification using Counseling and Psychotherapy Transcripts


Evaluating Large Language Models for Generalization and Robustness via Data Compression


Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability


Evaluating Large Language Models for Radiology Natural Language Processing


Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs


Evaluating Large Language Models on Controlled Generation Tasks


Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis


Evaluating Large Language Models on Non-Code Software Engineering Tasks


Evaluating Large Language Models on the Frame and Symbol Grounding Problems: A Zero-shot Benchmark


Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard


Evaluating Large Language Models with fmeval


Evaluating Large Language Models' Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios


Evaluating Large Language Models: A Comprehensive Survey


Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts


Evaluating Learned Indexes in LSM-tree Systems: Benchmarks,Insights and Design Choices


Evaluating Lebesgue constants by Chebyshev polynomial meshes on cube, simplex and ball


Evaluating Lexicon Incorporation for Depression Symptom Estimation


Evaluating Link Prediction Explanations for Graph Neural Networks


Evaluating Low-Resource Lane Following Algorithms for Compute-Constrained Automated Vehicles


Evaluating ML-Based Anomaly Detection Across Datasets of Varied Integrity: A Case Study


Evaluating Machine Learning Approaches for ASCII Art Generation


Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care


Evaluating Machine Translation Models for English-Hindi Language Pairs: A Comparative Analysis


Evaluating Machine Unlearning via Epistemic Uncertainty


Evaluating Mathematical Reasoning Beyond Accuracy


Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction


Evaluating Membership Inference Through Adversarial Robustness


Evaluating Menu OCR and Translation: A Benchmark for Aligning Human and Automated Evaluations in Large Vision-Language Models


Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem


Evaluating Mixed-Initiative Procedural Level Design Tools using a Triple-Blind Mixed-Method User Study


Evaluating Mixed-initiative Conversational Search Systems via User Simulation


Evaluating Model Explanations without Ground Truth


Evaluating Model Perception of Color Illusions in Photorealistic Scenes


Evaluating Model Performance in Medical Datasets Over Time


Evaluating Models' Local Decision Boundaries via Contrast Sets


Evaluating Modules in Graph Contrastive Learning


Evaluating Moral Beliefs across LLMs through a Pluralistic Framework


Evaluating Multichannel Speech Enhancement Algorithms at the Phoneme Scale Across Genders


Evaluating Multilingual Long-Context Models for Retrieval and Reasoning


Evaluating Multiview Object Consistency in Humans and Image Models


Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language Models


Evaluating Negative Sampling Approaches for Neural Topic Models


Evaluating Neighbor Explainability for Graph Neural Networks


Evaluating Neural Language Models as Cognitive Models of Language Acquisition


Evaluating Neural Morphological Taggers for Sanskrit


Evaluating Neural Word Embeddings for Sanskrit


Evaluating Node Embeddings of Complex Networks


Evaluating Non-aligned Musical Score Transcriptions with MV2H


Evaluating Numerical Reasoning in Text-to-Image Models


Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures


Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures


Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information


Evaluating Open-Domain Question Answering in the Era of Large Language Models


Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers


Evaluating Out-of-Distribution Performance on Document Image Classifiers


Evaluating Overfit and Underfit in Models of Network Community Structure


Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding


Evaluating Performance and Bias of Negative Sampling in Large-Scale Sequential Recommendation Models


Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity


Evaluating Physics Informed Neural Network Performance for Seismic Discrimination Between Earthquakes and Explosions


Evaluating Point Cloud from Moving Camera Videos: A No-Reference Metric


Evaluating Policy Implications on the Restrictiveness of Flow-based Market Coupling with High Shares of Intermittent Generation: A Case Study for Central Western Europe


Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval


Evaluating Precise Geolocation Inference Capabilities of Vision Language Models


Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification


Evaluating Prompt-based Question Answering for Object Prediction in the Open Research Knowledge Graph


Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot Setting


Evaluating Quantized Large Language Models


Evaluating Quantized Large Language Models for Code Generation on Low-Resource Language Benchmarks


Evaluating Readability and Faithfulness of Concept-based Explanations


Evaluating Real-World Robot Manipulation Policies in Simulation


Evaluating Reasoning LLMs for Suicide Screening with the Columbia-Suicide Severity Rating Scale


Evaluating Regular Path Queries on Compressed Adjacency Matrices


Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study


Evaluating Reliability in Medical DNNs: A Critical Analysis of Feature and Confidence-Based OOD Detection


Evaluating ResNeXt Model Architecture for Image Classification


Evaluating Retrieval Quality in Retrieval-Augmented Generation


Evaluating Robustness of Counterfactual Explanations


Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?


Evaluating Robustness over High Level Driving Instruction for Autonomous Driving


Evaluating SAT and SMT Solvers on Large-Scale Sudoku Puzzles


Evaluating SZZ Implementations Through a Developer-informed Oracle


Evaluating Saliency Explanations in NLP by Crowdsourcing


Evaluating Saliency Methods for Neural Language Models


Evaluating Salient Object Detection in Natural Images with Multiple Objects having Multi-level Saliency


Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision


Evaluating Scoped Meaning Representations


Evaluating Search Engines and Large Language Models for Answering Health Questions


Evaluating Self-Supervised Learning for Molecular Graph Embeddings


Evaluating Self-Supervised Learning via Risk Decomposition


Evaluating Self-supervised Speech Models on a Taiwanese Hokkien Corpus


Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference


Evaluating Semantic Parsing against a Simple Web-based Question Answering Model


Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective


Evaluating Sentence Segmentation and Word Tokenization Systems on Estonian Web Texts


Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis


Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments


Evaluating Shortest Edit Script Methods for Contextual Lemmatization


Evaluating Shutdown Avoidance of Language Models in Textual Scenarios


Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance


Evaluating Small-Scale Code Models for Code Clone Detection


Evaluating Snowflake as an Indistinguishable Censorship Circumvention Tool


Evaluating Soccer Match Prediction Models: A Deep Learning Approach and Feature Optimization for Gradient-Boosted Trees


Evaluating Soccer Player: from Live Camera to Deep Reinforcement Learning


Evaluating Software Plagiarism Detection in the Age of AI: Automated Obfuscation and Lessons for Academic Integrity


Evaluating Sparse Interpretable Word Embeddings for Biomedical Domain


Evaluating Spatial Understanding of Large Language Models


Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition


Evaluating Step-by-Step Reasoning through Symbolic Verification


Evaluating Structural Generalization in Neural Machine Translation


Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models


Evaluating Subtitle Segmentation for End-to-end Generation Systems


Evaluating Subword Tokenization: Alien Subword Composition and OOV Generalization Challenge


Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting


Evaluating Synthetic Pre-Training for Handwriting Processing Tasks


Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights


Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour


Evaluating Text-to-Image Diffusion Models for Texturing Synthetic Data


Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis


Evaluating The Impact Of Species Specialisation On Ecological Network Robustness Using Analytic Methods


Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval


Evaluating Topic Quality with Posterior Variability


Evaluating Transferability of BERT Models on Uralic Languages


Evaluating Transformer Language Models on Arithmetic Operations Using Number Decomposition


Evaluating Transformer Models and Human Behaviors on Chinese Character Naming


Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter


Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST)


Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises


Evaluating Uncertainty in Deep Gaussian Processes


Evaluating Unsupervised Denoising Requires Unsupervised Metrics


Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource


Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches


Evaluating Verifiability in Generative Search Engines


Evaluating Vision Transformer Models for Visual Quality Control in Industrial Manufacturing


Evaluating Vision-Language Models on Bistable Images


Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations


Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing


Evaluating Word Embeddings with Categorical Modularity


Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models


Evaluating a bot detection model on git commit messages


Evaluating alignment between humans and neural network representations in image-based learning tasks


Evaluating analytic gradients of pulse programs on quantum computers


Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models


Evaluating and Characterizing Human Rationales


Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality


Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types


Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs


Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications


Evaluating and Improving Factuality in Multimodal Abstractive Summarization


Evaluating and Improving Graph to Text Generation with Large Language Models


Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning


Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs


Evaluating and Mitigating IP Infringement in Visual Generative AI


Evaluating and Mitigating Social Bias for Large Language Models in Open-ended Settings


Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities


Evaluating and Optimizing Educational Content with Large Language Model Judgments


Evaluating and Predicting Distorted Human Body Parts for Generated Images


Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context Learning


Evaluating and Testing for Actionable Treatment Effect Heterogeneity


Evaluating approaches for supervised semantic labeling


Evaluating bulk flow estimators for CosmicFlows-4 measurements


Evaluating chemically homogeneous evolution in stellar binaries: Electromagnetic implications -- Ionizing photons, SLSN-I, GRB, Ic-BL


Evaluating context-invariance in unsupervised speech representations


Evaluating deep transfer learning for whole-brain cognitive decoding


Evaluating diversion and treatment policies for opioid use disorder


Evaluating generation of chaotic time series by convolutional generative adversarial networks


Evaluating geospatial context information for travel mode detection


Evaluating histopathology transfer learning with ChampKit


Evaluating individualized treatment effect predictions: a model-based perspective on discrimination and calibration assessment


Evaluating infectious disease forecasts with allocation scoring rules


Evaluating language models as risk scores


Evaluating machine learning models for predicting pesticides toxicity to honey bees


Evaluating model calibration in classification


Evaluating modular equations for abelian surfaces


Evaluating near-surface wind speeds simulated by the CRCM6-GEM5 model using AmeriFlux data over North America


Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes


Evaluating plate discipline in Major League Baseball with Bayesian Additive Regression Trees


Evaluating probabilistic forecasts with the R package scoringRules


Evaluating prose style transfer with the Bible


Evaluating representation learning on the protein structure universe


Evaluating robustness of You Only Hear Once(YOHO) Algorithm on noisy audios in the VOICe Dataset


Evaluating saliency methods on artificial data with different background types


Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures


Evaluating small vision-language models as AI assistants for radio astronomical source analysis tasks


Evaluating statistical language models as pragmatic reasoners


Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks


Evaluating tests for cluster-randomized trials with few clusters under generalized linear mixed models with covariate adjustment: a simulation study


Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks


Evaluating the Adversarial Robustness of Adaptive Test-time Defenses


Evaluating the Benefits: Quantifying the Effects of TCP Options, QUIC, and CDNs on Throughput


Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs


Evaluating the Code Quality of AI-Assisted Code Generation Tools: An Empirical Study on GitHub Copilot, Amazon CodeWhisperer, and ChatGPT


Evaluating the Construct Validity of Text Embeddings with Application to Survey Questions


Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries


Evaluating the Decency and Consistency of Data Validation Tests Generated by LLMs


Evaluating the Disentanglement of Deep Generative Models through Manifold Topology


Evaluating the Effectiveness of Attack-Agnostic Features for Morphing Attack Detection


Evaluating the Effectiveness of Corrective Demonstrations and a Low-Cost Sensor for Dexterous Manipulation


Evaluating the Effectiveness of Margin Parameter when Learning Knowledge Embedding Representation for Domain-specific Multi-relational Categorized Data


Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data


Evaluating the Effectiveness of Pre-trained Language Models in Predicting the Helpfulness of Online Product Reviews


Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection


Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and Scalability


Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ


Evaluating the Energy Measurements of the IBM POWER9 On-Chip Controller


Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer


Evaluating the Evaluation of Diversity in Natural Language Generation


Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs


Evaluating the Factual Consistency of Large Language Models Through News Summarization


Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs


Evaluating the Fairness of Discriminative Foundation Models in Computer Vision


Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay Prediction


Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining


Evaluating the Fork-Awareness of Coverage-Guided Fuzzers


Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox


Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario


Evaluating the Generation Capabilities of Large Chinese Language Models


Evaluating the Goal-Directedness of Large Language Models


Evaluating the Impact of Detector Design on Jet Flavor Tagging for Future Colliders


Evaluating the Impact of Flaky Simulators on Testing Autonomous Driving Systems


Evaluating the Impact of Intensity Normalization on MR Image Synthesis


Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models


Evaluating the Impact of Model Accuracy for Optimizing Battery Energy Storage Systems


Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking


Evaluating the Impact of State-Level Public Masking Mandates on New COVID-19 Cases and Deaths in the United States: A Demonstration of the Causal Roadmap


Evaluating the Implicit Midpoint Integrator for Riemannian Manifold Hamiltonian Monte Carlo


Evaluating the Influence of Multi-Factor Authentication and Recovery Settings on the Security and Accessibility of User Accounts


Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks


Evaluating the Interpretability of Generative Models by Interactive Reconstruction


Evaluating the Knowledge Dependency of Questions


Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4


Evaluating the Morphosyntactic Well-formedness of Generated Texts


Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?


Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification


Evaluating the Performance of Clone Detection Tools in Detecting Cloned Co-change Candidates


Evaluating the Performance of Large Language Models on GAOKAO Benchmark


Evaluating the Performance of Reinforcement Learning Algorithms


Evaluating the Potential of Quantum Machine Learning in Cybersecurity: A Case-Study on PCA-based Intrusion Detection Systems


Evaluating the Predictive Capacity of FLARES Simulations for High Redshift "Little Red Dots"


Evaluating the Prompt Steerability of Large Language Models


Evaluating the Quality of a Synthesized Motion with the Fréchet Motion Distance


Evaluating the Relationship Between News Source Sharing and Political Beliefs


Evaluating the Relationship of EV Charging Station on the Uptake of Electric Vehicles -- Implication of the NEVI Formula Program


Evaluating the Ripple Effects of Knowledge Editing in Language Models


Evaluating the Robustness of Adversarial Defenses in Malware Detection Systems


Evaluating the Robustness of Adverse Drug Event Classification Models Using Templates


Evaluating the Robustness of Analogical Reasoning in Large Language Models


Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment


Evaluating the Robustness of Discrete Prompts


Evaluating the Robustness of Neural Language Models to Input Perturbations


Evaluating the Robustness of Off-Policy Evaluation


Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis


Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators


Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials


Evaluating the Search Phase of Neural Architecture Search


Evaluating the Semantic Profiling Abilities of LLMs for Natural Language Utterances in Data Visualization


Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs


Evaluating the Systematic Reasoning Abilities of Large Language Models through Graph Coloring


Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling


Evaluating the Use of LLMs for Documentation to Code Traceability


Evaluating the Usefulness of Non-Diagnostic Speech Data for Developing Parkinson's Disease Classifiers


Evaluating the Utility of Hand-crafted Features in Sequence Labelling


Evaluating the Values of Sources in Transfer Learning


Evaluating the Zero-shot Robustness of Instruction-tuned Language Models


Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting


Evaluating the effectiveness of public policies on COVID-19 containment: A PSM-DID approach


Evaluating the evolution and inter-individual variability of infant functional module development from 0 to 5 years old


Evaluating the extent to which homeostatic plasticity learns to compute prediction errors in unstructured neuronal networks


Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification


Evaluating the feasibility of interpretable machine learning for globular cluster detection


Evaluating the feasibility of using Generative Models to generate Chest X-Ray Data


Evaluating the prevalence of spurious correlations in pulsar timing array datasets


Evaluating the principle of relatedness: Estimation, drivers and implications for policy


Evaluating the role of data quality when sharing information in hierarchical multi-stock assessment models, with an application to Dover Sole


Evaluating the squared-exponential covariance function in Gaussian processes with integral observations


Evaluating the structure-coefficient theorem of evolutionary game theory


Evaluating time series forecasting models: An empirical study on performance estimation methods


Evaluating uncertainties in electrochemical impedance spectra of solid oxide fuel cells


Evaluating undercounts in epidemics: response to Maruotti et al. 2022


Evaluating vaccine allocation strategies using simulation-assisted causal modelling


Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models


Evaluation Benchmarks for Spanish Sentence Representations


Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex


Evaluation Discrepancy Discovery: A Sentence Compression Case-study


Evaluation Framework For Large-scale Federated Learning


Evaluation Framework for AI-driven Molecular Design of Multi-target Drugs: Brain Diseases as a Case Study


Evaluation Framework for Sensor Configuration Impact on Deep Learning-Based Perception


Evaluation Measures for Relevance and Credibility in Ranked Lists


Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study


Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions


Evaluation Metrics for Object Detection for Autonomous Systems


Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks


Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject Training


Evaluation Of Word Embeddings From Large-Scale French Web Content


Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation


Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation


Evaluation and Analysis of Hallucination in Large Vision-Language Models


Evaluation and Efficiency Comparison of Evolutionary Algorithms for Service Placement Optimization in Fog Architectures


Evaluation and Improvement of Chatbot Text Classification Data Quality Using Plausible Negative Examples


Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks


Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things


Evaluation and Optimization of Gradient Compression for Distributed Deep Learning


Evaluation for Regression Analyses on Evolving Data Streams


Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT


Evaluation of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning


Evaluation of CNN-based Automatic Music Tagging Models


Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification


Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation


Evaluation of Code LLMs on Geospatial Code Generation


Evaluation of Correctness in Unsupervised Many-to-Many Image Translation


Evaluation of Data Augmentation and Loss Functions in Semantic Image Segmentation for Drilling Tool Wear Detection


Evaluation of Dataframe Libraries for Data Preparation on a Single Machine


Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems


Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center


Evaluation of End-to-End Continuous Spanish Lipreading in Different Data Conditions


Evaluation of Error and Correlation-Based Loss Functions For Multitask Learning Dimensional Speech Emotion Recognition


Evaluation of Fake News Detection with Knowledge-Enhanced Language Models


Evaluation of Feynman integrals with arbitrary complex masses via series expansions


Evaluation of GlassNet for physics-informed machine learning of glass stability and glass-forming ability


Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis


Evaluation of Greedy and CBF for ETSI non-area GeoNetworking: The impact of DCC


Evaluation of HTR models without Ground Truth Material


Evaluation of Hate Speech Detection Using Large Language Models and Geographical Contextualization


Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women


Evaluation of Inner Products of Implicitly-defined Finite Element Functions on Multiply Connected Planar Mesh Cells


Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism


Evaluation of Kinematic Precise Point Positioning Convergence with an Incremental Graph Optimizer


Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks


Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings


Evaluation of Large Language Models via Coupled Token Generation


Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes


Evaluation of Load Prediction Techniques for Distributed Stream Processing


Evaluation of Logic Programs with Built-Ins and Aggregation: A Calculus for Bag Relations


Evaluation of MQTT Bridge Architectures in a Cross-Organizational Context


Evaluation of Machine Learning Algorithms in Network-Based Intrusion Detection System


Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches


Evaluation of Multi-indicator And Multi-organ Medical Image Segmentation Models


Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?


Evaluation of Noise Reduction Methods for Sentence Recognition by Sinhala Speaking Listeners


Evaluation of Parallel Tempering to Accelerate Bayesian Parameter Estimation in Systems Biology


Evaluation of Pool-based Testing Approaches to Enable Population-wide Screening for COVID-19


Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis


Evaluation of Quantum and Hybrid Solvers for Combinatorial Optimization


Evaluation of Resource-Efficient Crater Detectors on Embedded Systems


Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces


Evaluation of Runtime Monitoring for UAV Emergency Landing


Evaluation of Sampling Methods for Scatterplots


Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks


Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment


Evaluation of Semantic Answer Similarity Metrics


Evaluation of Speech Representations for MOS prediction


Evaluation of Temporal Change in IR Test Collections


Evaluation of Test-Time Adaptation Under Computational Time Constraints


Evaluation of Text-to-Video Generation Models: A Dynamics Perspective


Evaluation of Unsupervised Compositional Representations


Evaluation of Unsupervised Entity and Event Salience Estimation


Evaluation of a Flow-Based Hypergraph Bipartitioning Algorithm


Evaluation of approaches for accommodating interactions and non-linear terms in multiple imputation of incomplete three-level data


Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL


Evaluation of concept drift adaptation for acoustic scene classifier based on Kernel Density Drift Detection and Combine Merge Gaussian Mixture Model


Evaluation of convolutional neural networks using a large multi-subject P300 dataset


Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction


Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation


Evaluation of deep learning models for multi-step ahead time series prediction


Evaluation of diffuse mismatch model for phonon scattering at disordered interfaces


Evaluation of direct inversion of proton radiographs in the context of cylindrical implosions


Evaluation of dynamic causal modelling and Bayesian model selection using simulations of networks of spiking neurons


Evaluation of large language models for discovery of gene set function


Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial


Evaluation of post-hoc interpretability methods in time-series classification


Evaluation of pretrained language models on music understanding


Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PET


Evaluation of really good grammatical error correction


Evaluation of respiratory disease hospitalisation forecasts using synthetic outbreak data


Evaluation of small-area estimation methods for mortality schedules


Evaluation of the Code Generation Capabilities of ChatGPT 4: A Comparative Analysis in 19 Programming Languages


Evaluation of the relative performance of the subflattenings method for phylogenetic inference


Evaluation of the single-component thermal dust emission model in CMB experiments


Evaluation of tools for describing, reproducing and reusing scientific workflows


Evaluation of wait time saving effectiveness of triage algorithms


Evaluations of Machine Learning Privacy Defenses are Misleading


Evaluator for Emotionally Consistent Chatbots


Evalverse: Unified and Accessible Library for Large Language Model Evaluation


EvalxNLP: A Framework for Benchmarking Post-Hoc Explainability Methods on NLP Models


Evasion Attacks Against Bayesian Predictive Models


Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts


Even Faster SNN Simulation with Lazy+Event-driven Plasticity and Shared Atomics


Even if Explanations: Prior Work, Desiderata & Benchmarks for Semi-Factual XAI


Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation


Even-Ifs From If-Onlys: Are the Best Semi-Factual Explanations Found Using Counterfactuals As Guides?


EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks


Event Based, Near Eye Gaze Tracking Beyond 10,000Hz


Event Camera Based Real-Time Detection and Tracking of Indoor Ground Robots


Event Camera Calibration of Per-pixel Biased Contrast Threshold


Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss


Event Causality Extraction with Event Argument Correlations


Event Causality Is Key to Computational Story Understanding


Event Coreference Resolution for Contentious Politics Events


Event Detection from Social Media for Epidemic Prediction


Event Detection via Probability Density Function Regression


Event Enhanced High-Quality Image Recovery


Event Extraction as Question Generation and Answering


Event Extraction by Answering (Almost) Natural Questions


Event Generation and Density Estimation with Surjective Normalizing Flows


Event Generation and Statistical Sampling for Physics with Deep Generative Models and a Density Information Buffer


Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models


Event Horizon of a Charged Black Hole Binary Merger


Event Knowledge Incorporation with Posterior Regularization for Event-Centric Question Answering


Event Linking: Grounding Event Mentions to Wikipedia


Event Outlier Detection in Continuous Time


Event Prediction using Case-Based Reasoning over Knowledge Graphs


Event Representation Learning Enhanced with External Commonsense Knowledge


Event Representations for Automated Story Generation with Deep Neural Nets


Event Representations with Tensor-based Compositions


Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events


Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms


Event Transformer. A sparse-aware solution for efficient event data processing


Event Transition Planning for Open-ended Text Generation


Event Trojan: Asynchronous Event-based Backdoor Attacks


Event Voxel Set Transformer for Spatiotemporal Representation Learning on Event Streams


Event and Entity Extraction from Generated Video Captions


Event detection from novel data sources: Leveraging satellite imagery alongside GPS traces


Event generation and consistency tests with sliced Wasserstein distance in high-energy physics


Event knowledge in large language models: the gap between the impossible and the unlikely


Event-Aware Multimodal Mobility Nowcasting


Event-Based Angular Velocity Regression with Spiking Networks


Event-Based Contrastive Learning for Medical Time Series


Event-Based Fusion for Motion Deblurring with Cross-modal Attention


Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields


Event-Based Visual Odometry on Non-Holonomic Ground Vehicles


Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation


Event-Driven Tactile Learning with Location Spiking Neurons


Event-Enhanced Blurry Video Super-Resolution


Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting


Event-Radar: Real-time Local Event Detection System for Geo-Tagged Tweet Streams


Event-Triggered Diffusion Kalman Filters


Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving


Event-assisted Low-Light Video Object Segmentation


Event-based Agile Object Catching with a Quadrupedal Robot


Event-based Asynchronous Sparse Convolutional Networks


Event-based Camera Simulation using Monte Carlo Path Tracing with Adaptive Denoising


Event-based Dynamic Graph Representation Learning for Patent Application Trend Prediction


Event-based Image Deblurring with Dynamic Motion Awareness


Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network


Event-based Optical Flow on Neuromorphic Processor: ANN vs. SNN Comparison based on Activation Sparsification


Event-based Photometric Bundle Adjustment


Event-based Reconfiguration Control for Time-varying Formation of Robot Swarms in Narrow Spaces


Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset


Event-based Simultaneous Localization and Mapping: A Comprehensive Survey


Event-based Solutions for Human-centered Applications: A Comprehensive Review


Event-based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation


Event-based Synthetic Aperture Imaging with a Hybrid Network


Event-based Temporally Dense Optical Flow Estimation with Sequential Learning


Event-based Vision for Early Prediction of Manipulation Actions


Event-based Visual Tracking in Dynamic Environments


Event-based clinical findings extraction from radiology reports with pre-trained language model


Event-based dataset for the detection and classification of manufacturing assembly tasks


Event-based visual place recognition with ensembles of temporal windows


Event-enhanced Retrieval in Real-time Search


Event-related data conditioning for acoustic event classification


Event-triggered and distributed model predictive control for guaranteed collision avoidance in UAV swarms


Event2Vec: Processing neuromorphic events directly by representations in vector space


EventCLIP: Adapting CLIP for Event-based Object Recognition


EventDrop: data augmentation for event-based learning


EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs


EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams


EventGAN: Leveraging Large Scale Image Datasets for Event Cameras


EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction


EventGraph: Event Extraction as Semantic Graph Parsing


EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs


EventHPE: Event-based 3D Human Pose and Shape Estimation


EventHallusion: Diagnosing Event Hallucinations in Video LLMs


EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream


EventKG+Click: A Dataset of Language-specific Event-centric User Interaction Traces


EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation


EventPlus: A Temporal Event Understanding Pipeline


EventRPG: Event Data Augmentation with Relevance Propagation Guidance


EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning


EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition


Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers


Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification


Everest: GPU-Accelerated System For Mining Temporal Motifs


Everware toolkit. Supporting reproducible science and challenge-driven education


Every $3$-dimensional convex body can be covered by $14$ smaller homothetic copies


Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation


Every Answer Matters: Evaluating Commonsense with Probabilistic Measures


Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants


Every Filter Extracts A Specific Texture In Convolutional Neural Networks


Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning


Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering


Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models


Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding


Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization


Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector


Every Poincaré gauge theory is conformal: a compelling case for dynamical vector torsion


Every Shot Counts: Using Exemplars for Repetition Counting in Videos


Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss


Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings


Every planar graph with $Δ\geqslant 8$ is totally $(Δ+2)$-choosable


Every word counts: A multilingual analysis of individual human alignment with model attention


Everybody Likes to Sleep: A Computer-Assisted Comparison of Object Naming Data from 30 Languages


Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts


Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes


Everyone Can Be Picasso? A Computational Framework into the Myth of Human versus AI Painting


Everyone Deserves A Reward: Learning Customized Human Preferences


Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model


Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis


Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction


Everything everywhere all at once: a probability-based enhanced sampling approach to rare events


Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models


Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation


Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment