Everything's Talkin': Pareidolia Face Reenactment


Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable?


EviDR: Evidence-Emphasized Discrete Reasoning for Reasoning Machine Reading Comprehension


EviDense: a Graph-based Method for Finding Unique High-impact Events with Succinct Keyword-based Descriptions


EviHunter: Identifying Digital Evidence in the Permanent Storage of Android Devices via Static Analysis


EviNet: Evidential Reasoning Network for Resilient Graph Learning in the Open and Noisy Environments


Evidence > Intuition: Transferability Estimation for Encoder Selection


Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix


Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria


Evidence Networks: simple losses for fast, amortized, neural Bayesian model comparison


Evidence Sentence Extraction for Machine Reading Comprehension


Evidence estimation in finite and infinite mixture models and applications


Evidence for Hypodescent in Visual Semantic AI


Evidence for Long-Tails in SLS Algorithms


Evidence for Magneto-gravitational Processes in Supermassive Black Hole Binary PG 1553+113


Evidence for a multi-level trophic organization of the human gut microbiome


Evidence for an Instability-Induced Binary Merger in the Double-Peaked, Helium-Rich Type IIn Supernova 2023zkd


Evidence for an interaction between the Galactic Center clouds M0.10-0.08 and M0.11-0.11


Evidence for localization and urbanization economies in urban scaling


Evidence for possible systematic underestimation of uncertainties in extragalactic distances and its cosmological implications


Evidence for the volatile-rich composition of a 1.5-$R_\oplus$ planet


Evidence from counterfactual tasks supports emergent analogical reasoning in large language models


Evidence fusion with contextual discounting for multi-modality medical image segmentation


Evidence of Crowding on Russell 3000 Reconstitution Events


Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit


Evidence of Interaction between Ion-Scale Waves and Ion Velocity Distributions in the Solar Wind


Evidence of Non-Equilibrium Critical Phenomena in a Simple Model of Traffic


Evidence of Online Performance Deterioration in User Sessions on Reddit


Evidence of a log scaling law for political persuasion with large language models


Evidence of equilibrium dynamics in human social networks evolving in time


Evidence of interrelated cognitive-like capabilities in large language models: Indications of artificial general intelligence or achievement?


Evidence of multithermal nature of spicular downflows. Impact on solar atmospheric heating


Evidence of the entanglement constraint on wave-particle duality using the IBM Q quantum computer


Evidence, Definitions and Algorithms regarding the Existence of Cohesive-Convergence Groups in Neural Network Optimization


Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder


Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering


Evidence-aware Fake News Detection with Graph Neural Networks


Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs


Evidence-centered Assessment for Writing with Generative AI


Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis


Evidential Deep Learning for Interatomic Potentials


Evidential Deep Learning for Probabilistic Modelling of Extreme Storm Events


Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks


Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications


Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models


Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders


Evidential Uncertainty Quantification: A Variance-Based Perspective


Evidential Uncertainty Sets in Deep Classifiers Using Conformal Prediction


Evidential strength of categorical expert witness statements


EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels


Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks


Evil Geniuses: Delving into the Safety of LLM-based Agents


Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer


EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search


EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms


EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks


EvoCLINICAL: Evolving Cyber-Cyber Digital Twin with Active Transfer Learning for Automated Cancer Registry System


EvoChain: A Framework for Tracking and Visualizing Smart Contract Evolution


EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding


EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories


EvoCraft: A New Challenge for Open-Endedness


EvoEMD: cosmic evolution with an early matter-dominated era


EvoGAN: An Evolutionary Computation Assisted GAN


EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming


EvoGit: Decentralized Code Evolution via Git-Based Multi-Agent Collaboration


EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization


EvoK: Connecting loved ones through Heart Rate sharing


EvoLearner: Learning Description Logics with Evolutionary Algorithms


EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis


EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions


EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer


EvoPress: Towards Optimal Dynamic Model Compression via Evolutionary Search


EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks


EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning


EvoTorch: Scalable Evolutionary Computation in Python


EvoVGM: a Deep Variational Generative Model for Evolutionary Parameter Estimation


Evocube: a Genetic Labeling Framework for Polycube-Maps


EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs


Evolution as Explanation: The Origins of Neural Codes and their Efficiencies


Evolution as a coexistence mechanism: Does genetic architecture matter?


Evolution in the Debian GNU/Linux software network: analogies and differences with gene regulatory networks


Evolution of Adaptive Force Chains in Reconfigurable Granular Metamaterials


Evolution of Autopoiesis and Multicellularity in the Game of Life


Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots


Evolution of Convolutional Neural Network (CNN): Compute vs Memory bandwidth for Edge AI


Evolution of Data Formats in Very-High-Energy Gamma-ray Astronomy


Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature


Evolution of Flare Activity in GKM Stars Younger than 300 Myr over Five Years of TESS Observations


Evolution of Fullerenes in Circumstellar Envelopes by Carbon Condensation: Insights from Reactive Molecular Dynamics Simulations


Evolution of Neptune at Near-Infrared Wavelengths from 1994 through 2022


Evolution of Neural Tangent Kernels under Benign and Adversarial Training


Evolution of Popularity Bias: Empirical Study and Debiasing


Evolution of Real-world Hypergraphs: Patterns and Models without Oracles


Evolution of Rotating 25 M$_{\odot}$ Population III star: Physical Properties and Resulting Supernovae


Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution


Evolution of Societies via Reinforcement Learning


Evolution of Spots and Stripes in Cellular Automata


Evolution of Swarm Robotics Systems with Novelty Search


Evolution of a Functionally Diverse Swarm via a Novel Decentralised Quality-Diversity Algorithm


Evolution of accretor stars in massive binaries: broader implications from modeling ζ Ophiuchi


Evolution of compact groups from intermediate to final stages: A case study of the HI content of HCG 16


Evolution of cooperation in a bimodal mixture of conditional cooperators


Evolution of direct reciprocity in group-structured populations


Evolution of diversity and dominance of companies in online activity


Evolution of family systems and resultant socio-economic structures


Evolution of female choice under intralocus sexual conflict and genotype-by-environment interactions


Evolution of linkages for prototyping of linkage based robots


Evolution of perturbation and power spectrum in a two-component ultralight axionic universe


Evolution of prosocial behavior in multilayer populations


Evolution of self-gravitating spherical dark-matter halos with and without new physics


Evolution of steam worlds: energetic aspects


Evolution of the Exoplanet Size Distribution: Forming Large Super-Earths Over Billions of Years


Evolution of the Informational Complexity of Contemporary Western Music


Evolution of the number of GitHub users in Spain


Evolution of weights on a connected finite graph


Evolutionary Algorithms for Designing Reversible Cellular Automata


Evolutionary Algorithms for Optimizing Emergency Exit Placement in Indoor Environments


Evolutionary Approximation of Ternary Neurons for On-sensor Printed Neural Networks


Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model


Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap


Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks


Evolutionary Fuzzing of Android OS Vendor System Services


Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games


Evolutionary Generalized Zero-Shot Learning


Evolutionary Generation of Random Surreal Numbers for Benchmarking


Evolutionary Generation of Visual Motion Illusions


Evolutionary Large Language Model for Automated Feature Transformation


Evolutionary Map of the Universe (EMU): Observations of Filamentary Structures in the Abell S1136 Galaxy Cluster


Evolutionary Multi-Task Injection Testing on Web Application Firewalls


Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification


Evolutionary Multiparty Distance Minimization


Evolutionary Multitasking AUC Optimization


Evolutionary NAS with Gene Expression Programming of Cellular Encoding


Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing


Evolutionary Optimization of Model Merging Recipes


Evolutionary Optimization of Physics-Informed Neural Networks: Advancing Generalizability by the Baldwin Effect


Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning


Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation


Evolutionary Preference Sampling for Pareto Set Learning


Evolutionary Programmer: Autonomously Creating Path Planning Programs based on Evolutionary Algorithms


Evolutionary Prompt Design for LLM-Based Post-ASR Error Correction


Evolutionary Retrosynthetic Route Planning


Evolutionary Robotics on the Web with WebGL and Javascript


Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence


Evolutionary Stochastic Policy Distillation


Evolutionary Swarm Robotics: Dynamic Subgoal-Based Path Formation and Task Allocation for Exploration and Navigation in Unknown Environments


Evolutionary Trigger Set Generation for DNN Black-Box Watermarking


Evolutionary Verbalizer Search for Prompt-based Few Shot Text Classification


Evolutionary accumulation modelling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance


Evolutionary adaptation is facilitated by the presence of lethal genotypes


Evolutionary algorithms for multi-center solutions


Evolutionary bagging for ensemble learning


Evolutionary chemical learning in dimerization networks


Evolutionary dynamics in stochastic nonlinear public goods games


Evolutionary dynamics of glucose-deprived cancer cells: insights from experimentally-informed mathematical modelling


Evolutionary instability of selfish learning in repeated games


Evolutionary learning of interpretable decision trees


Evolutionary rates of information gain and decay in fluctuating environments


Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs


Evolutionary shift detection with ensemble variable selection


Evolutionary stability of antigenically escaping viruses


Evolutionary theory of convective organization


Evolutionary trend of SARS-CoV-2 inferred by the homopolymeric nucleotide repeats


EvolvTrip: Enhancing Literary Character Understanding with Temporal Theory-of-Mind Graphs


Evolvability ES: Scalable and Direct Optimization of Evolvability


EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models


Evolved Art with Transparent, Overlapping, and Geometric Shapes


Evolved Neuromorphic Control for High Speed Divergence-based Landings of MAVs


Evolved interactions stabilize many coexisting phases in multicomponent liquids


Evolved neuromorphic radar-based altitude controller for an autonomous open-source blimp


Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection


Evolving A* to Efficiently Solve the k Shortest-Path Problem (Extended Version)


Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming


Evolving Collaboration, Dependencies, and Use in the Rust Open Source Software Ecosystem


Evolving Collective Behavior in Self-Organizing Particle Systems


Evolving Constrained Reinforcement Learning Policy


Evolving Continuous Optimisers from Scratch


Evolving Flying Machines in Minecraft Using Quality Diversity


Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks


Evolving Galactic Dynamos and Fits to the Reversing Rotation Measures in the Halo of NGC 4631


Evolving Generalizable Parallel Algorithm Portfolios via Domain-Agnostic Instance Generation


Evolving Horizons in Radiotherapy Auto-Contouring: Distilling Insights, Embracing Data-Centric Frameworks, and Moving Beyond Geometric Quantification


Evolving Inborn Knowledge For Fast Adaptation in Dynamic POMDP Problems


Evolving Knowledge Mining for Class Incremental Segmentation


Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts


Evolving Neural Architecture Using One Shot Model


Evolving Neural Networks through a Reverse Encoding Tree


Evolving Programmable Computational Metamaterials


Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective


Evolving Reservoirs for Meta Reinforcement Learning


Evolving Robust Neural Architectures to Defend from Adversarial Attacks


Evolving Scientific Discovery by Unifying Data and Background Knowledge with AI Hilbert


Evolving Search Space for Neural Architecture Search


Evolving Semantic Communication with Generative Model


Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling


Evolving Symbolic 3D Visual Grounder with Weakly Supervised Reflection


Evolving ab initio trading strategies in heterogeneous environments


Evolving generalist controllers to handle a wide range of morphological variations


Evolving linguistic divergence on polarizing social media


Evolving spiking neuron cellular automata and networks to emulate in vitro neuronal activity


Evolving surface finite element methods for random advection-diffusion equations


Evolving test instances of the Hamiltonian completion problem


Evons: A Dataset for Fake and Real News Virality Analysis and Prediction


Ewald-based Long-Range Message Passing for Molecular Graphs


Ex-Model: Continual Learning from a Stream of Trained Models


Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect


Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding


ExAgt: Expert-guided Augmentation for Representation Learning of Traffic Scenarios


ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models


ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images


ExBrainable: An Open-Source GUI for CNN-based EEG Decoding and Model Interpretation


ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking


ExClaim: Explainable Neural Claim Verification Using Rationalization


ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification


ExDDV: A New Dataset for Explainable Deepfake Detection in Video


ExEBench: Benchmarking Foundation Models on Extreme Earth Events


ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation


ExGAN: Adversarial Generation of Extreme Samples


ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi


ExPO: Explainable Phonetic Trait-Oriented Network for Speaker Verification


ExPRES: a Tool to Simulate Exoplanetary and Planetary Radio Emissions


ExPT: Synthetic Pretraining for Few-Shot Experimental Design


ExPUNations: Augmenting Puns with Keywords and Explanations


ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation


ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search


ExSum: From Local Explanations to Model Understanding


ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language


ExaLogLog: Space-Efficient and Practical Approximate Distinct Counting up to the Exa-Scale


Exacerbating Algorithmic Bias through Fairness Attacks


Exact ASP Counting with Compact Encodings


Exact Algorithms for MaxCut on Split Graphs


Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations


Exact Bayesian Gaussian Cox Processes Using Random Integral


Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach


Exact CMB B-mode power spectrum from anisotropic cosmic birefringence


Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis


Exact Clustering in Tensor Block Model: Statistical Optimality and Computational Limit


Exact Convergence Analysis for Metropolis-Hastings Independence Samplers in Wasserstein Distances


Exact Counting and Sampling of Optima for the Knapsack Problem


Exact Diagonalization library for quantum electron models


Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization


Exact Finite-State Machine Identification from Scenarios and Temporal Properties


Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms


Exact Gradient Evaluation for Adaptive Quadrature Approximate Marginal Likelihood in Mixed Models for Grouped Data


Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals


Exact Inference for Random Effects Meta-Analyses with Small, Sparse Data


Exact Largest Eigenvalue Distribution for Doubly Singular Beta Ensemble


Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity


Exact Lexicographic Scheduling and Approximate Rescheduling


Exact Likelihoods for N-mixture models with Time-to-Detection Data


Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements


Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation


Exact Matrix Seriation through Mathematical Optimization: Stress and Effectiveness-Based Models


Exact Optimization of Conformal Predictors via Incremental and Decremental Learning


Exact Paired-Permutation Testing for Structured Test Statistics


Exact Penalty Method for Federated Learning


Exact Point Cloud Downsampling for Fast and Accurate Global Trajectory Optimization


Exact Post-Selection Inference for Sequential Regression Procedures


Exact Rate-Distortion in Autoencoders via Echo Noise


Exact Short Products From Truncated Multipliers


Exact Simulation of Variance Gamma related OU processes: Application to the Pricing of Energy Derivatives


Exact Soft Analytical Side-Channel Attacks using Tractable Circuits


Exact Solutions in Log-Concave Maximum Likelihood Estimation


Exact Spike Train Inference Via $\ell_0$ Optimization


Exact Synthesis of Multiqutrit Clifford-Cyclotomic Circuits


Exact Tensor Completion Powered by Slim Transforms


Exact Time-Varying Turnpikes for Dynamic Operation of District Heating Networks


Exact Verification of First-Order Methods via Mixed-Integer Linear Programming


Exact Wavefront Propagation for Globally Optimal One-to-All Path Planning on 2D Cartesian Grids


Exact algorithms for $L^1$-TV regularization of real-valued or circle-valued signals


Exact analytical solution of irreversible binary dynamics on networks


Exact and Approximation Algorithms for Sparse PCA


Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution


Exact and Efficient Numerical approaches to MIT Bag Model


Exact and Heuristic Algorithms for Energy-Efficient Scheduling


Exact and Heuristic Approaches for the Covering Tour Location Routing Problem


Exact and Heuristic Approaches for the Stochastic N-k Interdiction in Power Grids


Exact and Heuristic Approaches to Drone Delivery Problems


Exact and Heuristic Approaches to Speeding Up the MSM Time Series Distance Computation


Exact and Heuristic Computation of the Scanwidth of Directed Acyclic Graphs


Exact and approximate computation of the scatter halfspace depth


Exact and arbitrarily accurate non-parametric two-sample tests based on rank spacings


Exact and general decoupled solutions of the LMC Multitask Gaussian Process model


Exact and practical pattern matching for quantum circuit optimization


Exact and rapid linear clustering of networks with dynamic programming


Exact and sampling methods for mining higher-order motifs in large hypergraphs


Exact and soft boundary conditions in Physics-Informed Neural Networks for the Variable Coefficient Poisson equation


Exact computation of GMM estimators for instrumental variable quantile regression models


Exact confidence intervals for the mixing distribution from binomial mixture distribution samples


Exact discovery is polynomial for certain sparse causal Bayesian networks


Exact enumeration of satisfiable 2-SAT formulae


Exact equilibrium properties of square-well and square-shoulder disks in single-file confinement


Exact formulas for partial sums of the Möbius function expressed by partial sums weighted by the Liouville lambda function


Exact generalized Turán number for $K_3$ versus suspension of $P_4$


Exact hierarchical reductions of dynamical models via linear transformations


Exact identifiability analysis for a class of partially observed near-linear stochastic differential equation models


Exact inference under the perfect phylogeny model


Exact joint likelihood of pseudo-$C_\ell$ estimates from correlated Gaussian cosmological fields


Exact local recovery for Chemical Shift Imaging


Exact marginal prior distributions of finite Bayesian neural networks


Exact model comparisons in the plausibility framework


Exact numerical calculation of fixation probability and time on graphs


Exact operator inference with minimal data


Exact real-time dynamics of single-impurity Anderson model from a single-spin hybridization-expansion


Exact reconstruction and reconstruction from noisy data with anisotropic total variation


Exact recovery of the support of piecewise constant images via total variation regularization


Exact resolution function for double-disk chopper neutron time-of-flight spectrometers : Application to reflectivity


Exact results on finite size corrections for surface codes tailored to biased noise


Exact rule-based stochastic simulations for systems with unlimited number of molecular species


Exact sensitivity analysis of Markov reward processes via algebraic geometry


Exact sharp-fronted solutions for nonlinear diffusion on evolving domains


Exact simulation of extrinsic stress-release processes


Exact slice sampler for Hierarchical Dirichlet Processes


Exact solution of stochastic gene expression models with bursting, cell cycle and replication dynamics


Exact solution of the many-body problem with a $\mathcal{O}\left(n^6\right)$ complexity


Exact solutions and bounds for network SIR and SEIR models using a rooted-tree approximation


Exact solutions for diffusive transport on heterogeneous growing domains


Exact solutions for the time-evolution of quantum spin systems under arbitrary waveforms using algebraic graph theory


Exact solutions in low-rank approximation with zeros


Exact time-dependent solutions of a Fisher-KPP-like equation obtained with nonclassical symmetry analysis


Exact variance estimation for model-assisted survey estimators using U- and V-statistics


Exact weight cancellation in Monte Carlo eigenvalue transport problems


Exact worst-case convergence rates of the proximal gradient method for composite convex minimization


Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families


Exact, Parallelizable Dynamic Time Warping Alignment with Linear Memory


Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization


Exact-K Recommendation via Maximal Clique Optimization


Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields


Exact-corrected confidence interval for risk difference in noninferiority binomial trials


Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic Segmentation


ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching


Exactly Minimax-Optimal Locally Differentially Private Sampling


Exactly solvable spin-1/2 XYZ models with highly-degenerate, partially ordered, ground states


Examining Alignment of Large Language Models through Representative Heuristics: The Case of Political Stereotypes


Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots


Examining Cooperation in Visual Dialog Models


Examining Covert Gender Bias: A Case Study in Turkish and English Machine Translation Models


Examining Forgetting in Continual Pre-training of Aligned Large Language Models


Examining Gender Bias in Languages with Grammatical Gender


Examining Gender and Power on Wikipedia Through Face and Politeness


Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Images


Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities


Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate


Examining Interplay of Compression and Encryption and Applicability to 5G Teleoperations


Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge


Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus


Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks


Examining Political Rhetoric with Epistemic Stance Detection


Examining Post-Training Quantization for Mixture-of-Experts: A Benchmark


Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling


Examining Spanish Counseling with MIDAS: a Motivational Interviewing Dataset in Spanish


Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models


Examining a hate speech corpus for hate speech detection and popularity prediction


Examining and Combating Spurious Features under Distribution Shift


Examining axion-like particles with superconducting radio-frequency cavity


Examining marginal properness in the external validation of survival models with squared and logarithmic losses


Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning


Examining the Challenges in Archiving Instagram


Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media Data


Examining the Impact of Local Condition Violations on Energy Computations in DFT


Examining the Inductive Bias of Neural Language Models with Artificial Languages


Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors


Examining the Ordering of Rhetorical Strategies in Persuasive Requests


Examining the Relations between Household Saving Rate of Rural Areas and Migration


Examining the Relationship of Code and Architectural Smells with Software Vulnerabilities


Examining the Representation of Youth in the US Policy Documents through the Lens of Research


Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection


Examining the Tip of the Iceberg: A Data Set for Idiom Translation


Examining the causal structures of deep neural networks using information theory


Examining the effects of dark matter spikes on eccentric intermediate mass ratio inspirals using N-body simulations


Examining the rotation of the planet-hosting M dwarf GJ 3942


Example-Based Reasoning about the Realizability of Polymorphic Programs


Example-Based Vulnerability Detection and Repair in Java Code


Example-Guided Style Consistent Image Synthesis from Semantic Labeling


Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis


Example-based Hypernetworks for Out-of-Distribution Generalization


Example-based Motion Synthesis via Generative Motion Matching


Examples of CM curves of genus two defined over the reflex field


Examples of effectivity for integral points on certain curves of genus 2


Examples of renormalization group transformations for image sets


Exascale Landau collision operator in the Cuda programming model applied to thermal quench plasmas


Exasim: Generating Discontinuous Galerkin Codes for Numerical Solutions of Partial Differential Equations on Graphics Processors


Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series


Excavating RoI Attention for Underwater Object Detection


Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation


ExceLint: Automatically Finding Spreadsheet Formula Errors


ExcelFormer: A neural network surpassing GBDTs on tabular data


Exception-aware Lifecycle Model Construction for Framework APIs


Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange


Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization


Exchanging-based Multimodal Fusion with Transformer


Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons


Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion


Excitonic effects in time-dependent density functional theory from zeros of the density response


Excitons under strain: light absorption and emission in strained hexagonal boron nitride


ExcluIR: Exclusionary Neural Information Retrieval


Exclusion Zones of Instant Runoff Voting


Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNs


Exclusion of the fittest predicts microbial community diversity in fluctuating environments


Exclusive Group Lasso for Structured Variable Selection


Exclusive Hierarchical Decoding for Deep Keyphrase Generation


Exclusive Supermask Subnetwork Training for Continual Learning


Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures


Excuse me, sir? Your language model is leaking (information)


ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics


ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects


Executability of Python Snippets in Stack Overflow


Executable Code Actions Elicit Better LLM Agents


Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines


Executing Natural Language-Described Algorithms with Large Language Models: An Investigation


Executing your Commands via Motion Diffusion in Latent Space


Execution Guided Line-by-Line Code Generation


Execution Semantics of Behavior Trees in Robotic Applications


Execution Time Program Verification With Tight Bounds


Execution and monitoring of HOA automata with HOAX


Execution of NVRAM Programs with Persistent Stack


Execution-Based Evaluation for Open-Domain Code Generation


Execution-Based Evaluation of Natural Language to Bash and PowerShell for Incident Remediation


Execution-based Code Generation using Deep Reinforcement Learning


Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation


Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction


Exemplar Guided Face Image Super-Resolution without Facial Landmarks


Exemplar Masking for Multimodal Incremental Learning


Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation


Exemplar-Based Open-Set Panoptic Segmentation Network


Exemplar-Controllable Paraphrasing and Translation using Bitext


Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers


Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation


Exemplar-free Continual Representation Learning via Learnable Drift Compensation


Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication


Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization


Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis


Exhaustive Exploitation of Nature-inspired Computation for Cancer Screening in an Ensemble Manner


Exhaustive Survey of Rickrolling in Academic Literature


Exhaustive generation of edge-girth-regular graphs


Exhaustivity and anti-exhaustivity in the RSA framework: Testing the effect of prior beliefs


ExioML: Eco-economic dataset for Machine Learning in Global Sectoral Sustainability


Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule


Existence and Stability of Static Spherical Fluid Shells in a Schwarzschild-Rindler-anti-de Sitter Metric


Existence and Verification of Nash Equilibria in Non-Cooperative Contribution Games with Resource Contention


Existence conditions for hidden feedback loops in online recommender systems


Existence of the first magic angle for the chiral model of bilayer graphene


Exit Wavefunction Reconstruction from Single Transmisson Electron Micrographs with Deep Learning


ExoCubed: A Riemann-Solver based Cubed-Sphere Dynamic Core for Planetary Atmospheres


ExoData: A python package to handle large exoplanet catalogue data


ExoKit: A Toolkit for Rapid Prototyping of Interactions for Arm-based Exoskeletons


ExoMDN: Rapid characterization of exoplanet interior structures with Mixture Density Networks


ExoSim 2: the new Exoplanet Observation Simulator applied to the Ariel space mission


ExoSim: the Exoplanet Observation Simulator


ExoTiC-ISM: A Python package for marginalised exoplanet transit parameters across a grid of systematic instrument models


Exogenous Isomorphism for Counterfactual Identifiability


Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation


Exomoons in Systems with a Strong Perturber: Applications to $α$ Cen AB


Exomoons in the habitable zones of M dwarfs


Exophoric Pronoun Resolution in Dialogues with Topic Regularization


ExoplANETS-A: A VO database for host stars and planetary systems: The effect of XUV on planet atmospheres


ExoplANNET: A deep learning algorithm to detect and identify planetary signals in radial velocity data


Exoplanet Detection using Machine Learning


Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm


Exoplanet atmosphere retrievals in 3D using phase curve data with ARCiS: application to WASP-43b


Exoplanet population inference and the abundance of Earth analogs from noisy, incomplete catalogs


Exoplanets Across Galactic Stellar Populations with PLATO: Estimating Exoplanet Yields Around FGK Stars for the Thin Disk, Thick Disk and Stellar Halo


Exotic Fluids Matching the Stress-Energy Tensor of Alcubierre Warp Drive Spacetimes


Exotic Lepton-Flavor Violating Higgs Decays


Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion


ExpBERT: Representation Engineering with Natural Language Explanations


ExpFinder: An Ensemble Expert Finding Model Integrating $N$-gram Vector Space Model and $μ$CO-HITS


ExpLLM: Towards Chain of Thought for Facial Expression Recognition


ExpMRC: Explainability Evaluation for Machine Reading Comprehension


ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook


ExpProof : Operationalizing Explanations for Confidential Models with ZKPs


ExpTest: Automating Learning Rate Searching and Tuning with Insights from Linearized Neural Networks


ExpTrialMng: A Universal Experiment Trial Manager for AR/VR/MR Experiments based on Unity


Exp[licit]-A Robot modeling Software based on Exponential Maps


Expand VSR Benchmark for VLLM to Expertize in Spatial Rules


Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering


Expand-and-Cluster: Parameter Recovery of Neural Networks


Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning


Expanded Adaptive Scaling Normalization for End to End Image Compression


Expanding Density-Correlation Machine Learning Representations for Anisotropic Coarse-Grained Particles


Expanding Event Modality Applications through a Robust CLIP-Based Encoder


Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding


Expanding Low-Density Latent Regions for Open-Set Object Detection


Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation


Expanding Small-Scale Datasets with Guided Imagination


Expanding Sparse Tuning for Low Memory Usage


Expanding boundaries of Gap Safe screening


Expanding continual few-shot learning benchmarks to include recognition of specific instances


Expanding the Class of Quadratic Control-Lyapunov Functions for Low-Thrust Trajectory Optimization


Expanding the Medical Decathlon dataset: segmentation of colon and colorectal cancer from computed tomography images


Expanding the Scope: Inductive Knowledge Graph Reasoning with Multi-Starting Progressive Propagation


Expanding the Vocabulary of BERT for Knowledge Base Construction


Expanding-and-Shrinking Binary Neural Networks


Expansion Quantization Network: An Efficient Micro-emotion Annotation and Detection Framework


Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation


Expansion of hypergeometric functions in terms of polylogarithms with nontrivial variable change


Expansion of the fundamental solution of a second-order elliptic operator with analytic coefficients


Expansion via Prediction of Importance with Contextualization


ExpeL: LLM Agents Are Experiential Learners


Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch


Expectation propagation for the smoothing distribution in dynamic probit


Expectations over Unspoken Alternatives Predict Pragmatic Inferences


Expected $1.x$-Makespan-Optimal MAPF on Grids in Low-Poly Time


Expected Coordinate Improvement for High-Dimensional Bayesian Optimization


Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning


Expected Grad-CAM: Towards gradient faithfulness


Expected Gradients of Maxout Networks and Consequences to Parameter Initialization


Expected Hypothetical Completion Probability


Expected Impact of Rubin Observatory LSST on NEO Follow-up


Expected Information Maximization: Using the I-Projection for Mixture Density Estimation


Expected Signature on a Riemannian Manifold and Its Geometric Implications


Expected flow networks in stochastic environments and two-player zero-sum games


Expected performances of the Characterising Exoplanet Satellite (CHEOPS) II. The CHEOPS simulator


Expected signature of stopped Brownian motion on $d$-dimensional $C^{2, α}$-domains has finite radius of convergence everywhere: $2\leq d \leq 8$


Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection


Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters


Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction


Expediting Building Footprint Extraction from High-resolution Remote Sensing Images via progressive lenient supervision


Expediting TTS Synthesis with Adversarial Vocoding


Expeditious Generation of Knowledge Graph Embeddings


Expeditious Saliency-guided Mix-up through Random Gradient Thresholding


Experience Filter: Using Past Experiences on Unseen Tasks or Environments


Experience Implementing a Performant Category-Theory Library in Coq


Experience Replay with Random Reshuffling


Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection


Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA


Experience and Evidence are the eyes of an excellent summarizer! Towards Knowledge Infused Multi-modal Clinical Conversation Summarization


Experience deploying an analysis facility for the Rubin Observatory's Legacy Survey of Space and Time (LSST) data


Experience of Training a 1.7B-Parameter LLaMa Model From Scratch


Experience with Abrupt Transition to Remote Teaching of Embedded Systems


Experience-Based Evolutionary Algorithms for Expensive Optimization


Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study


Experiential Explanations for Reinforcement Learning


Experiential-Informed Data Reconstruction for Fishery Sustainability and Policies in the Azores


Experimental Analysis of Safety Application Reliability in V2V Networks


Experimental Bayesian estimation of quantum state preparation, measurement, and gate errors in multi-qubit devices


Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots


Experimental Comparison of PC-Trees and PQ-Trees


Experimental Cryptographic Verification for Near-Term Quantum Cloud Computing


Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints


Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection


Experimental Estimation of Quantum State Properties from Classical Shadows


Experimental Evaluation of Algorithms for Computing Quasiperiods


Experimental Evaluation of Book Drawing Algorithms


Experimental Evaluation of Distributed k-Core Decomposition


Experimental Evaluation of Parameterized Algorithms for Graph Separation Problems: Half-Integral Relaxations and Matroid-based Kernelization


Experimental Evaluation of Visual-Inertial Odometry Systems for Arable Farming


Experimental Evidence of Quantum Drude Oscillator Behavior in Liquids Revealed with Probabilistic Iterative Boltzmann Inversion


Experimental QND measurements of complementarity on two-qubit states with IonQ and IBM Q quantum computers


Experimental Realization of One Dimensional Helium


Experimental Shake Gesture Detection API for Apple Watch


Experimental Solutions to the High-Dimensional Mean King's Problem


Experimental Standards for Deep Learning in Natural Language Processing Research


Experimental Study on The Effect of Multi-step Deep Reinforcement Learning in POMDPs


Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models


Experimental Validation of Ultrasound Beamforming with End-to-End Deep Learning for Single Plane Wave Imaging


Experimental analysis of the TRC benchmark system


Experimental demonstration of robustness under scaling errors for superadiabatic population transfer in a superconducting circuit


Experimental design for MRI by greedy policy search


Experimental error mitigation using linear rescaling for variational quantum eigensolving with up to 20 qubits


Experimental evaluation of offline reinforcement learning for HVAC control in buildings


Experimental high-dimensional Greenberger-Horne-Zeilinger entanglement with superconducting transmon qutrits


Experimental measurement and a physical interpretation of quantum shadow enumerators


Experimental multipartite entanglement and randomness certification of the W state in the quantum steering scenario


Experimental observation of anomalous supralinear response of single-photon detectors


Experimental observation of exceptional points in coupled pendulums


Experimental study of Neural ODE training with adaptive solver for dynamical systems modeling


Experimental study of multiple-shot unitary channels discrimination using the IBM Q computers


Experimental study of time series forecasting methods for groundwater level prediction


Experimental superposition of time directions


Experimental validation of a linear momentum and bluff-body model for high-blockage cross-flow turbine arrays


Experimental validation of an explicit flatness-based MPC design for quadcopter position tracking


Experimental validation of the Kibble-Zurek Mechanism on a Digital Quantum Computer


Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling


Experimentally accessible non-separability criteria for multipartite entanglement structure detection


Experimentation With Fuzzy Interest Forwarding in Named Data Networking


Experimenting with Emerging RISC-V Systems for Decentralised Machine Learning


Experimenting with Multi-modal Information to Predict Success of Indian IPOs


Experimenting with Normalization Layers in Federated Learning on non-IID scenarios


Experiments in Adaptive Replanning for Fast Autonomous Flight in Forests


Experiments on Generalizability of User-Oriented Fairness in Recommender Systems


Experiments on Properties of Hidden Structures of Sparse Neural Networks


Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report)


Experiments with Unit Disk Cover Algorithms for Covering Massive Pointsets


Experiments with Universal CEFR Classification


Experiments with mmWave Automotive Radar Test-bed


Expert Finding in Legal Community Question Answering


Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification


Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering


Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning


Expert Sample Consensus Applied to Camera Re-Localization


Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning


Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios


Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation


Expert-elicitation method for non-parametric joint priors using normalizing flows


Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems


Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation


ExpertQA: Expert-Curated Questions and Attributed Answers


ExpertSteer: Intervening in LLMs through Expert Knowledge


Expertise and Dynamics within Crowdsourced Musical Knowledge Curation: A Case Study of the Genius Platform


Expertise and confidence explain how social influence evolves along intellective tasks


Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists


Expertized Caption Auto-Enhancement for Video-Text Retrieval


Experts and authorities receive disproportionate attention on Twitter during the COVID-19 crisis


Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation


ExplORB-SLAM: Active Visual SLAM Exploiting the Pose-graph Topology


ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning


Explain Any Concept: Segment Anything Meets Concept-Based Explanation


Explain First, Trust Later: LLM-Augmented Explanations for Graph-Based Crypto Anomaly Detection


Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text


Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation


Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes


Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation


Explain and Predict, and then Predict Again


Explain like I am BM25: Interpreting a Dense Model's Ranked-List with a Sparse Approximation


Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs


Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions


Explain to me like I am five -- Sentence Simplification Using Transformers


Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations


Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy


Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations


Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability


ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination


ExplainFix: Explainable Spatially Fixed Deep Networks


ExplainReduce: Summarising local explanations via proxies


ExplainaBoard: An Explainable Leaderboard for NLP


Explainability Techniques for Chemical Language Models


Explainability Techniques for Graph Convolutional Networks


Explainability Through Human-Centric Design for XAI in Lung Cancer Detection


Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster


Explainability for Transparent Conversational Information-Seeking


Explainability in JupyterLab and Beyond: Interactive XAI Systems for Integrated and Collaborative Workflows


Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal


Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models


Explainability in subgraphs-enhanced Graph Neural Networks


Explainability of Deep Learning models for Urban Space perception


Explainability of Deep Neural Networks for Brain Tumor Detection


Explainability of Machine Learning Models under Missing Data


Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations


Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models


Explainability-Aware One Point Attack for Point Cloud Neural Networks


Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical Evaluation


Explainable AI Components for Narrative Map Extraction


Explainable AI classification for parton density theory


Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?


Explainable AI for Bioinformatics: Methods, Tools, and Applications


Explainable AI for Comparative Analysis of Intrusion Detection Models


Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation


Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions


Explainable AI for Trees: From Local Explanations to Global Understanding


Explainable AI for computational pathology identifies model limitations and tissue biomarkers


Explainable AI models for predicting liquefaction-induced lateral spreading


Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt Method


Explainable Abuse Detection as Intent Classification and Slot Filling


Explainable Action Advising for Multi-Agent Reinforcement Learning


Explainable Active Learning for Preference Elicitation


Explainable Anomaly Detection for Industrial Control System Cybersecurity


Explainable Anomaly Detection in Images and Videos: A Survey


Explainable Artifacts for Synthetic Western Blot Source Attribution


Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics


Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity


Explainable Artificial Intelligence for Improved Modeling of Processes


Explainable Authorship Identification in Cultural Heritage Applications: Analysis of a New Perspective


Explainable Automated Fact-Checking for Public Health Claims


Explainable Automated Fact-Checking: A Survey


Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks


Explainable Benchmarking for Iterative Optimization Heuristics


Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels


Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models


Explainable Classification of Brain Networks via Contrast Subgraphs


Explainable Contextual Anomaly Detection using Quantile Regression Forests


Explainable Contrastive and Cost-Sensitive Learning for Cervical Cancer Classification


Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images


Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance


Explainable DNN-based Beamformer with Postfilter


Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals


Explainable Data-Driven Optimization: From Context to Decision and Back Again


Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis


Explainable Deep Few-shot Anomaly Detection with Deviation Networks


Explainable Deep Learning Analysis for Raga Identification in Indian Art Music


Explainable Deep Learning Methods in Medical Image Classification: A Survey


Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE


Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting


Explainable Deep One-Class Classification


Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks


Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring


Explainable Earth Surface Forecasting under Extreme Events


Explainable Enrichment-Driven GrAph Reasoner (EDGAR) for Large Knowledge Graphs with Applications in Drug Repurposing


Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features


Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom


Explainable Federated Bayesian Causal Inference and Its Application in Advanced Manufacturing


Explainable Fraud Detection with Deep Symbolic Classification


Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration


Explainable GeoAI: Can saliency maps help interpret artificial intelligence's learning process? An empirical study on natural feature detection


Explainable Global Fairness Verification of Tree-Based Classifiers


Explainable Global Wildfire Prediction Models using Graph Neural Networks


Explainable Graph Neural Networks Under Fire


Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting


Explainable Hierarchical Urban Representation Learning for Commuting Flow Prediction


Explainable Image Quality Assessment for Medical Imaging


Explainable Image Similarity: Integrating Siamese Networks and Grad-CAM


Explainable Landscape-Aware Optimization Performance Prediction


Explainable Learning with Gaussian Processes


Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction


Explainable LightGBM Approach for Predicting Myocardial Infarction Mortality


Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities


Explainable Medical Image Segmentation via Generative Adversarial Networks and Layer-wise Relevance Propagation


Explainable Model-Agnostic Similarity and Confidence in Face Verification


Explainable Multi-Agent Recommendation System for Energy-Efficient Decision Support in Smart Homes


Explainable Multi-Modal Data Exploration in Natural Language via LLM Agent


Explainable Multi-hop Question Generation: An End-to-End Approach without Intermediate Question Labeling


Explainable Multilayer Graph Neural Network for Cancer Gene Prediction


Explainable Object-induced Action Decision for Autonomous Vehicles


Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series


Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting


Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit


Explainable Person Re-Identification with Attribute-guided Metric Distillation


Explainable Ponzi Schemes Detection on Ethereum


Explainable Port Mapping Inference with Sparse Performance Counters for AMD's Zen Architectures


Explainable Prediction of Adverse Outcomes Using Clinical Notes


Explainable Prediction of Medical Codes from Clinical Text


Explainable Predictive Decision Mining for Operational Support


Explainable Predictive Process Monitoring


Explainable Reinforcement Learning via Model Transforms


Explainable Reinforcement Learning via a Causal World Model


Explainable Representation Learning of Small Quantum States


Explainable Representations for Relation Prediction in Knowledge Graphs


Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data


Explainable Spatio-Temporal Graph Neural Networks


Explainable Subgraphs with Surprising Densities: A Subgroup Discovery Approach


Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction


Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling


Explainable Transformer Prototypes for Medical Diagnoses


Explainable Verbal Reasoner Plus (EVR+): A Natural Language Reasoning Framework that Supports Diverse Compositional Reasoning


Explainable XR: Understanding User Behaviors of XR Environments using LLM-assisted Analytics Framework


Explainable and Discourse Topic-aware Neural Language Understanding


Explainable and Explicit Visual Reasoning over Scene Graphs


Explainable and Safe Reinforcement Learning for Autonomous Air Mobility


Explainable artificial intelligence approaches for brain-computer interfaces: a review and design space


Explainable autoencoder for neutron star dense matter parameter estimation


Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing


Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow


Explainable convolutional neural network model provides an alternative genome-wide association perspective on mutations in SARS-CoV-2


Explainable expected goal models for performance analysis in football analytics


Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks


Explainable machine learning for predicting shellfish toxicity in the Adriatic Sea using long-term monitoring data of HABs


Explainable multiple abnormality classification of chest CT volumes


Explainable time series tweaking via irreversible and reversible temporal transformations


Explainable vertebral fracture analysis with uncertainty estimation using differentiable rule-based classification


ExplainableFold: Understanding AlphaFold Prediction with Explainable AI


Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues


Explaining AI in Finance: Past, Present, Prospects


Explaining AI-based Decision Support Systems using Concept Localization Maps


Explaining Anomalies in Groups with Characterizing Subspace Rules


Explaining Arguments' Strength: Unveiling the Role of Attacks and Supports (Technical Report)


Explaining Away Attacks Against Neural Networks


Explaining Bias in Deep Face Recognition via Image Characteristics


Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions


Explaining Black-Box Models through Counterfactuals


Explaining Black-box Models for Biomedical Text Classification


Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features


Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?


Explaining Chest X-ray Pathologies in Natural Language


Explaining Context Length Scaling and Bounds for Language Models


Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation


Explaining Datasets in Words: Statistical Models with Natural Language Parameters


Explaining Deep Classification of Time-Series Data with Learned Prototypes


Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention


Explaining Deep Learning Embeddings for Speech Emotion Recognition by Predicting Interpretable Acoustic Features


Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration


Explaining Deep Learning Models with Constrained Adversarial Examples


Explaining Deep Learning Representations by Tracing the Training Process


Explaining Deepfake Detection by Analysing Image Matching


Explaining Differences in Voting Patterns Across Voting Domains Using Hierarchical Bayesian Models


Explaining Domain Shifts in Language: Concept erasing for Interpretable Image Classification


Explaining Explainability: Recommendations for Effective Use of Concept Activation Vectors


Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods


Explaining Graph Neural Networks via Structure-aware Interaction Index


Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction


Explaining Groups of Points in Low-Dimensional Representations


Explaining How Transformers Use Context to Build Predictions


Explaining Hyperparameter Optimization via Partial Dependence Plots


Explaining Image Classification with Visual Debates


Explaining Image Classifiers by Counterfactual Generation


Explaining Image Enhancement Black-Box Methods through a Path Planning Based Algorithm


Explaining Inference Queries with Bayesian Optimization


Explaining Interactions Between Text Spans


Explaining JWST star formation history at $z \sim 17$ by modifying $Λ$CDM


Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets


Explaining Latent Representations with a Corpus of Examples


Explaining Learned Reward Functions with Counterfactual Trajectories


Explaining Local, Global, And Higher-Order Interactions In Deep Learning


Explaining Machine Learning Models using Entropic Variable Projection


Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation


Explaining Multi-modal Large Language Models by Analyzing their Vision Perception


Explaining NLP Models via Minimal Contrastive Editing (MiCE)


Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling


Explaining Neural Matrix Factorization with Gradient Rollback


Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks


Explaining Neural Networks without Access to Training Data


Explaining Predictions by Characteristic Rules


Explaining Preferences with Shapley Values


Explaining Probabilistic Models with Distributional Values


Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning


Explaining Question Answering Models through Text Generation


Explaining RL Decisions with Trajectories


Explaining Recruitment to Extremism: A Bayesian Case-Control Approach


Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes


Explaining Reinforcement Learning Policies through Counterfactual Trajectories


Explaining Reinforcement Learning with Shapley Values


Explaining Reject Options of Learning Vector Quantization Classifiers


Explaining Relationships Between Scientific Documents


Explaining Representation Learning with Perceptual Components


Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification


Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features


Explaining Text Classifiers with Counterfactual Representations


Explaining Text Similarity in Transformer Models


Explaining Time Series Predictions with Dynamic Masks


Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach


Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics


Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification


Explaining a machine learning decision to physicians via counterfactuals


Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators


Explaining and visualizing black-box models through counterfactual paths


Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning


Explaining conflict violence in terms of conflict actor dynamics


Explaining decision of model from its prediction


Explaining deep learning of galaxy morphology with saliency mapping


Explaining generative diffusion models via visual analysis for interpretable decision-making process


Explaining image classifiers by removing input features using generative models


Explaining in Style: Training a GAN to explain a classifier in StyleSpace


Explaining machine-learned particle-flow reconstruction


Explaining models relating objects and privacy


Explaining the (Not So) Obvious: Simple and Fast Explanation of STAN, a Next Point of Interest Recommendation System


Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference


Explaining the Unique Nature of Individual Gait Patterns with Deep Learning


Explaining the decline of US wind output power density


Explaining the effectiveness of fear extinction through latent-cause inference


Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow


Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences


Explaining word embeddings with perfect fidelity: Case study in research impact prediction


Explanation Graph Generation via Generative Pre-training over Synthetic Graphs


Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning


Explanation Guided Contrastive Learning for Sequential Recommendation


Explanation Regularisation through the Lens of Attributions


Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting


Explanation Space: A New Perspective into Time Series Interpretability


Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability


Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution


Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error Correction


Explanation-Aware Experience Replay in Rule-Dense Environments


Explanation-Guided Fairness Testing through Genetic Algorithm


Explanation-Guided Training for Cross-Domain Few-Shot Classification


Explanation-based Finetuning Makes Models More Robust to Spurious Cues


Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers


Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks


Explanation-by-Example Based on Item Response Theory


Explanations of Black-Box Model Predictions by Contextual Importance and Utility


Explanations of Black-Box Models based on Directional Feature Interactions


Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems


Explanatory Instructions: Towards Unified Vision Tasks Understanding and Zero-shot Generalization


Explanatory Learning: Beyond Empiricism in Neural Networks


Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance


Explanatory machine learning for sequential human teaching


Explicit $7$-torsion in the Tate-Shafarevich groups of genus $2$ Jacobians


Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging


Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks


Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection


Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation


Explicit Correlation Learning for Generalizable Cross-Modal Deepfake Detection


Explicit Correspondence Matching for Generalizable Neural Radiance Fields


Explicit Disentanglement of Appearance and Perspective in Generative Models


Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization


Explicit Explore-Exploit Algorithms in Continuous State Spaces


Explicit Feature Interaction-aware Graph Neural Networks


Explicit Interaction Model towards Text Classification


Explicit Interaction for Fusion-Based Place Recognition


Explicit Interval Estimates for Prime Numbers


Explicit Learning and the LLM in Machine Translation


Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning


Explicit Preference Optimization: No Need for an Implicit Reward Model


Explicit Quantum Circuits for Block Encodings of Certain Sparse Matrices


Explicit Regularization in Overparametrized Models via Noise Injection


Explicit Runge-Kutta algorithm to solve non-local equations with memory effects: case of the Maxey-Riley-Gatignol equation


Explicit Runge-Kutta-Chebyshev methods of second order with monotonic stability polynomial


Explicit Semiclassical Resonances from Many Delta Functions


Explicit Shape Encoding for Real-Time Instance Segmentation


Explicit Syntactic Guidance for Neural Text Generation


Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis


Explicit Visual Prompts for Visual Object Tracking


Explicit and Implicit Graduated Optimization in Deep Neural Networks


Explicit and data-Efficient Encoding via Gradient Flow


Explicit and implicit network connectivity: Analytical formulation and application to transport processes


Explicit arithmetic intersection theory and computation of Néron-Tate heights


Explicit caching HYB: a new high-performance SpMV framework on GPGPU


Explicit classification of isogeny graphs of rational elliptic curves


Explicit constructions of connections on the projective line with a maximally ramified irregular singularity


Explicit energy-conserving modification of relativistic PIC method


Explicit formulas for permutation pattern character polynomials


Explicit isogenies in quadratic time in any characteristic


Explicit isogenies of prime degree over quadratic fields


Explicit lower bounds on the conductors of elliptic curves and abelian varieties over number fields


Explicit modularity of K3 surfaces with complex multiplication of large degree


Explicit moments of decision times for single- and double-threshold drift-diffusion processes


Explicit non-Gorenstein R=T via rank bounds II: Computational aspects


Explicit non-asymptotic bounds for the distance to the first-order Edgeworth expansion


Explicit open images for elliptic curves over $\mathbb{Q}$


Explicit solution of divide-and-conquer dividing by a half recurrences with polynomial independent term


Explicit stabilized multirate methods for the monodomain model in cardiac electrophysiology


Explicitly Disentangled Representations in Object-Centric Learning


Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion


Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets


Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach


Explicitly Modeling Pre-Cortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness


Explicitly Representing Syntax Improves Sentence-to-layout Prediction of Unexpected Situations


Explicitly bounding perfect powers in elliptic divisibility sequences


Explicitly disentangling image content from translation and rotation with spatial-VAE


Explicitly incorporating spatial information to recurrent networks for agriculture


Explingo: Explaining AI Predictions using Large Language Models


Explodability criteria for the neutrino-driven supernova mechanism


Exploding operators for Majorana neutrino masses and beyond


Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference


Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition


ExploitFlow, cyber security exploitation routes for Game Theory and AI research in robotics


Exploitability Minimization in Games and Beyond


Exploitation of material consolidation trade-offs in multi-tier complex supply networks


Exploiting Abstract Meaning Representation for Open-Domain Question Answering


Exploiting Adapters for Cross-lingual Low-resource Speech Recognition


Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation


Exploiting All Samples in Low-Resource Sentence Classification: Early Stopping and Initialization Parameters


Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction


Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization


Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation


Exploiting BERT to improve aspect-based sentiment analysis performance on Persian language


Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model


Exploiting CLIP for Zero-shot HOI Detection Requires Knowledge Distillation at Multiple Levels


Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results


Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions


Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features


Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification


Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning


Exploiting Consistency-Preserving Loss and Perceptual Contrast Stretching to Boost SSL-based Speech Enhancement


Exploiting Context Information for Generic Event Boundary Captioning


Exploiting Contextual Information via Dynamic Memory Network for Event Detection


Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction


Exploiting Control-flow Enforcement Technology for Sound and Precise Static Binary Disassembly


Exploiting Cross-Dialectal Gold Syntax for Low-Resource Historical Languages: Towards a Generic Parser for Pre-Modern Slavic


Exploiting Cross-Sentence Context for Neural Machine Translation


Exploiting Curriculum Learning in Unsupervised Neural Machine Translation


Exploiting Deblurring Networks for Radiance Fields


Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation


Exploiting Depth Information for Wildlife Monitoring


Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts


Exploiting Diffusion Prior for Generalizable Dense Prediction


Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training


Exploiting Document Knowledge for Aspect-level Sentiment Classification


Exploiting Domain-Specific Features to Enhance Domain Generalization


Exploiting Duality in Open Information Extraction with Predicate Prompt


Exploiting Emotion-Semantic Correlations for Empathetic Response Generation


Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition


Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition


Exploiting Explainable Metrics for Augmented SGD


Exploiting Explicit Paths for Multi-hop Reading Comprehension


Exploiting Field Dependencies for Learning on Categorical Data


Exploiting Foundation Models and Speech Enhancement for Parkinson's Disease Detection from Speech in Real-World Operative Conditions


Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images


Exploiting Global and Local Hierarchies for Hierarchical Text Classification


Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation


Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners


Exploiting Hierarchical Interactions for Protein Surface Learning


Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation


Exploiting In-Constraint Energy in Constrained Variational Quantum Optimization


Exploiting Independent Instruments: Identification and Distribution Generalization


Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation


Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs


Exploiting Inexact Computations in Multilevel Sampling Methods


Exploiting Inferential Structure in Neural Processes


Exploiting Inherent Elasticity of Serverless in Irregular Algorithms


Exploiting Instabilities to Enable Large Shape Transformations in Dielectric Elastomers


Exploiting Instance-based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-adaptive Action Detection


Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inference


Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation


Exploiting Interpretable Capabilities with Concept-Enhanced Diffusion and Prototype Networks


Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems


Exploiting Invariance in Training Deep Neural Networks


Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression


Exploiting Label Skews in Federated Learning with Model Concatenation


Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study


Exploiting Learnable Joint Groups for Hand Pose Estimation


Exploiting Learned Symmetries in Group Equivariant Convolutions


Exploiting Local Features and Range Images for Small Data Real-Time Point Cloud Semantic Segmentation


Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video Search


Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations


Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs


Exploiting Low-level Representations for Ultra-Fast Road Segmentation


Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction


Exploiting More Information in Sparse Point Cloud for 3D Single Object Tracking


Exploiting Multi-Scale Fusion, Spatial Attention and Patch Interaction Techniques for Text-Independent Writer Identification


Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning


Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking


Exploiting Multiple Abstractions in Episodic RL via Reward Shaping


Exploiting Multiple EEG Data Domains with Adversarial Learning


Exploiting Multiple Embeddings for Chinese Named Entity Recognition


Exploiting Music Source Separation for Automatic Lyrics Transcription with Whisper


Exploiting Natural Language for Efficient Risk-Aware Multi-robot SaR Planning


Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily


Exploiting Neighborhood Interference with Low Order Interactions under Unit Randomized Design


Exploiting New Properties of String Net Frequency for Efficient Computation


Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks


Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation


Exploiting Path Diversity in Datacenters using MPTCP-aware SDN


Exploiting Persona Information for Diverse Generation of Conversational Responses


Exploiting Polarized Material Cues for Robust Car Detection


Exploiting Position Bias for Robust Aspect Sentiment Classification


Exploiting Positional Bias for Query-Agnostic Generative Content in Search


Exploiting Pre-trained Feature Networks for Generative Adversarial Networks in Audio-domain Loop Generation


Exploiting Prefix-Tree in Structured Output Interfaces for Enhancing Jailbreak Attacking


Exploiting Pretrained Biochemical Language Models for Targeted Drug Design


Exploiting Priors from 3D Diffusion Models for RGB-Based One-Shot View Planning


Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations


Exploiting Reasoning Chains for Multi-hop Science Question Answering


Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups


Exploiting Regional Information Transformer for Single Image Deraining


Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model


Exploiting Robust Unsupervised Video Person Re-identification


Exploiting Scale-Variant Attention for Segmenting Small Medical Objects


Exploiting Scene Graphs for Human-Object Interaction Detection


Exploiting Self-Supervised Constraints in Image Super-Resolution


Exploiting Semantic Attributes for Transductive Zero-Shot Learning


Exploiting Semantic Localization in Highly Dynamic Wireless Networks Using Deep Homoscedastic Domain Adaptation


Exploiting Sentence Order in Document Alignment


Exploiting Sentiment and Common Sense for Zero-shot Stance Detection


Exploiting Session Information in BERT-based Session-aware Sequential Recommendation


Exploiting Social Media Content for Self-Supervised Style Transfer


Exploiting Sparsity for Long Context Inference: Million Token Contexts on Commodity GPUs


Exploiting Sparsity in the Coefficient Matching Conditions in Sum-of-Squares Programming using ADMM


Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking


Exploiting Structure for Fast Kernel Learning


Exploiting Summarization Data to Help Text Simplification


Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense


Exploiting Symmetry Reduces the Cost of Training QAOA


Exploiting Symmetry in Dynamics for Model-Based Reinforcement Learning with Asymmetric Rewards


Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach


Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation


Exploiting Temporal Relationships in Video Moment Localization with Natural Language


Exploiting Temporal State Space Sharing for Video Semantic Segmentation


Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation


Exploiting Temporality for Semi-Supervised Video Segmentation


Exploiting Term Sparsity in Moment-SOS hierarchy for Dynamical Systems


Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning


Exploiting Twitter as Source of Large Corpora of Weakly Similar Pairs for Semantic Sentence Embeddings


Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction


Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs


Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection


Exploiting Verified Neural Networks via Floating Point Numerical Error


Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones


Exploiting Word Semantics to Enrich Character Representations of Chinese Pre-trained Models


Exploiting a Zoo of Checkpoints for Unseen Tasks


Exploiting anticommutation in Hamiltonian simulation


Exploiting co-execution with oneAPI: heterogeneity from a modern perspective


Exploiting disagreement between high-dimensional variable selectors for uncertainty visualization


Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessor


Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features


Exploiting locality and physical invariants to design effective Deep Reinforcement Learning control of the unstable falling liquid film


Exploiting locality in high-dimensional factorial hidden Markov models


Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities


Exploiting network topology for large-scale inference of nonlinear reaction models


Exploiting problem structure in derivative free optimization


Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection


Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation


Exploiting subspace constraints and ab initio variational methods for quantum chemistry


Exploiting symmetry for discrete-time reachability computations


Exploiting temporal context for 3D human pose estimation in the wild


Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation


Exploiting the Index Gradients for Optimization-Based Jailbreaking on Large Language Models


Exploiting the Partly Scratch-off Lottery Ticket for Quantization-Aware Training


Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness


Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search


Exploiting the Redundancy in Convolutional Filters for Parameter Reduction


Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning


Exploiting the Sign of the Advantage Function to Learn Deterministic Policies in Continuous Domains


Exploiting the Structure of Two Graphs with Graph Neural Networks


Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text


Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor


Exploiting the diversity of modeling methods to probe systematic biases in strong lensing analyses


Exploiting the hessian for a better convergence of the SCF RDMFT procedure


Exploiting the polyhedral geometry of stochastic linear bilevel programming


Exploiting vulnerabilities of deep neural networks for privacy protection


ExploraCoder: Advancing code generation for multiple unseen APIs via planning and chained exploration


Exploration Conscious Reinforcement Learning Revisited


Exploration Policies for On-the-Fly Controller Synthesis: A Reinforcement Learning Approach


Exploration and Anti-Exploration with Distributional Random Network Distillation


Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models


Exploration and Regularization of the Latent Action Space in Recommendation


Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning


Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning


Exploration into Translation-Equivariant Image Quantization


Exploration of Algorithmic Trading Strategies for the Bitcoin Market


Exploration of Class Center for Fine-Grained Visual Classification


Exploration of Gender Differences in COVID-19 Discourse on Reddit


Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection


Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images


Exploration of Lightweight Single Image Denoising with Transformers and Truly Fair Training


Exploration of Parameter Spaces Assisted by Machine Learning


Exploration of Quantum Computing in Materials Discovery for Direct Air Capture Applications


Exploration of amorphous V$_2$O$_5$ as cathode for magnesium batteries


Exploration of an Interdisciplinary Scientific Landscape


Exploration of oxyfluoride frameworks as Na-ion cathodes


Exploration of the Applicability of Probabilistic Inference for Learning Control in Underactuated Autonomous Underwater Vehicles


Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data


Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms


Exploration strategies for articulatory synthesis of complex syllable onsets


Exploration via Flow-Based Intrinsic Rewards


Exploration via Hindsight Goal Generation


Exploration vs Convergence Speed in Adaptive-bias Enhanced Sampling


Explorations in Homeomorphic Variational Auto-Encoding


Explorations of Self-Repair in Language Models


Explorative Imitation Learning: A Path Signature Approach for Continuous Environments


Explorative pedestrian mobility GPS data from a citizen science experiment in a neighbourhood


Exploratory graph analysis: a new approach for estimating the number of dimensions in psychological research


Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing


Explore Human Parsing Modality for Action Recognition


Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks


Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation


Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline


Explore Spurious Correlations at the Concept Level in Language Models for Text Classification


Explore as a Storm, Exploit as a Raindrop: On the Benefit of Fine-Tuning Kernel Schedulers with Coordinate Descent


Explore the Expression: Facial Expression Generation using Auxiliary Classifier Generative Adversarial Network


Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object Detection


Explore the Limits of Omni-modal Pretraining at Scale


Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation


Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills


Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension


Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration


Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration


Explored An Effective Methodology for Fine-Grained Snake Recognition


Exploring AIGC Video Quality: A Focus on Visual Harmony, Video-Text Consistency and Domain Distribution Gap


Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights


Exploring Adversarial Attacks and Defenses in Vision Transformers trained with DINO


Exploring Adversarial Attacks on Neural Networks: An Explainable Approach


Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information


Exploring Adversarial Robustness of Deep State Space Models


Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective


Exploring Adversarially Robust Training for Unsupervised Domain Adaptation


Exploring Algorithmic Fairness in Robust Graph Covering Problems


Exploring Alignment in Shared Cross-lingual Spaces


Exploring Alternatives to Softmax Function


Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity


Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation


Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks


Exploring Artist Gender Bias in Music Recommendation


Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models


Exploring Automatic Text Simplification of German Narrative Documents


Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming


Exploring Backdoor Vulnerabilities of Chat Models


Exploring Bayesian approaches to eQTL mapping through probabilistic programming


Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models


Exploring Best Practices for ECG Pre-Processing in Machine Learning


Exploring Better Text Image Translation with Multimodal Codebook


Exploring Bi-Manual Teleportation in Virtual Reality


Exploring Binary Classification Loss For Speaker Verification


Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment


Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse


Exploring Bridges Between Algorithmic and AI-generated Art


Exploring CLIP for Assessing the Look and Feel of Images


Exploring CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation


Exploring Categorical Regularization for Domain Adaptive Object Detection


Exploring Causes of Representational Similarity in Machine Learning Models


Exploring Challenges in Deep Learning of Single-Station Ground Motion Records


Exploring Channel Distinguishability in Local Neighborhoods of the Model Space in Quantum Neural Networks


Exploring ChatGPT's Capabilities on Vulnerability Management


Exploring Chemical Space with Score-based Out-of-distribution Generation


Exploring Children's Use of Self-Made Tangibles in Programming


Exploring Classification Equilibrium in Long-Tailed Object Detection


Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View


Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks


Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning


Exploring Complex Dynamical Systems via Nonconvex Optimization


Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector


Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?


Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection


Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis


Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks


Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks


Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations


Exploring Content Relationships for Distilling Efficient GANs


Exploring Content Selection in Summarization of Novel Chapters


Exploring Context Generalizability in Citywide Crowd Mobility Prediction: An Analytic Framework and Benchmark


Exploring Contextual Relationships for Cervical Abnormal Cell Detection


Exploring Continual Learning of Compositional Generalization in NLI


Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions


Exploring Contrastive Learning in Human Activity Recognition for Healthcare


Exploring Correlations in Multiple Facial Attributes through Graph Attention Network


Exploring Correlations of Self-Supervised Tasks for Graphs


Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers


Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis


Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting


Exploring Cross-lingual Latent Transplantation: Mutual Opportunities and Open Challenges


Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability


Exploring Cross-sentence Contexts for Named Entity Recognition with BERT


Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training


Exploring Dark Photon Production and Kinetic Mixing Constraints in Heavy-Ion Collisions


Exploring Data Aggregation and Transformations to Generalize across Visual Domains


Exploring Data Redundancy in Real-world Image Classification through Data Selection


Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts


Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations


Exploring Deep Learning for Joint Audio-Visual Lip Biometrics


Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training


Exploring Deep Reinforcement Learning for Robust Target Tracking using Micro Aerial Vehicles


Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Persevering EdgeIoT


Exploring Deeper! Segment Anything Model with Depth Perception for Camouflaged Object Detection


Exploring Demonstration Ensembling for In-context Learning


Exploring Dense Retrieval for Dialogue Response Selection


Exploring Description-Augmented Dataless Intent Classification


Exploring Descriptions of Movement Through Geovisual Analytics


Exploring Design Choices for Autoregressive Deep Learning Climate Models


Exploring Design Choices for Building Language-Specific LLMs


Exploring Design of Multi-Agent LLM Dialogues for Research Ideation