EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting


EndoLRMGS: Complete Endoscopic Scene Reconstruction combining Large Reconstruction Modelling and Gaussian Splatting


EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training


EndoMamba: An Efficient Foundation Model for Endoscopic Videos via Hierarchical Pre-training


EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels


EndoSLAM Dataset and An Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner


EndoSurf: Neural Surface Reconstruction of Deformable Tissues with Stereo Endoscope Videos


EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy


Endogenous Macrodynamics in Algorithmic Recourse


Endogenous viral mutations, evolutionary selection, and containment policy design


Endomorphism algebras of geometrically split genus 2 Jacobians over Q


Endowing Pre-trained Graph Models with Provable Fairness


Enel: Context-Aware Dynamic Scaling of Distributed Dataflow Jobs using Graph Propagation


EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy


Energetic Analysis of Emerging Quantum Communication Protocols


Energetic Formulation of Large-Deformation Poroelasticity


Energetic Variational Gaussian Process Regression for Computer Experiments


Energetic closure of the spatially resolved global food system


Energetic consistency and heat transport in Fourier-Galerkin truncations of free slip 3D rotating convection


Energetics of the nucleation and glide of disconnection modes in symmetric tilt grain boundaries


EnergiBridge: Empowering Software Sustainability through Cross-Platform Energy Measurement


Energy Backdoor Attack to Deep Neural Networks


Energy Conserving Higher Order Mixed Finite Element Discretizations of Maxwell's Equations


Energy Disaggregation using Variational Autoencoders


Energy Discrepancies: A Score-Independent Loss for Energy-Based Models


Energy Dissipation Preserving Physics Informed Neural Network for Allen-Cahn Equations


Energy Driven Pattern Formation in Planar Dipole-Dipole Systems in the Presence of Weak Noise


Energy Efficiency Aspects of the AMD Zen 2 Architecture


Energy Efficiency Considerations for Popular AI Benchmarks


Energy Efficiency Features of the Intel Skylake-SP Processor and Their Impact on Performance


Energy Efficiency in MIMO Underlay and Overlay Device-to-Device Communications and Cognitive Radio Systems


Energy Efficiency of Quantum Statevector Simulation at Scale


Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances


Energy Imports and Infrastructure in a Carbon-Neutral European Energy System


Energy Prediction using Federated Learning


Energy Pricing in P2P Energy Systems Using Reinforcement Learning


Energy Reduction in Cell-Free Massive MIMO through Fine-Grained Resource Management


Energy Resource Control via Privacy Preserving Data


Energy Stability of Explicit Runge-Kutta Methods for Non-autonomous or Nonlinear Problems


Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup


Energy Transparency for Deeply Embedded Programs


Energy and Time Histograms: Fluxes determination in calorimeters


Energy and polarization based on-line interference mitigation in radio interferometry


Energy conservative SBP discretizations of the acoustic wave equation in covariant form on staggered curvilinear grids


Energy consumption and cooperation for optimal sensing


Energy flow polynomials: A complete linear basis for jet substructure


Energy minimising configurations of pre-strained multilayers


Energy projection and modified Laughlin states


Energy spectra of secondaries in proton-proton interactions


Energy stable and conservative dynamical low-rank approximation for the Su-Olson problem


Energy transition under scenario uncertainty: a mean-field game of stopping with common noise


Energy-Adaptive Riemannian Conjugate Gradient Method for Density Functional Theory


Energy-Aware Adaptive Sampling for Self-Sustainability in Resource-Constrained IoT Devices


Energy-Aware Coverage Planning for Heterogeneous Multi-Robot System


Energy-Aware Digital Signatures for Embedded Medical Devices


Energy-Aware Ergodic Search: Continuous Exploration for Multi-Agent Systems with Battery Constraints


Energy-Aware JPEG Image Compression: A Multi-Objective Approach


Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent


Energy-Aware Planning-Scheduling for Autonomous Aerial Robots


Energy-Based Clustering: Fast and Robust Clustering of Data with Known Likelihood Functions


Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations


Energy-Based Contrastive Learning of Visual Representations


Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models


Energy-Based Generative Cooperative Saliency Prediction


Energy-Based Hindsight Experience Prioritization


Energy-Based Learning for Scene Graph Generation


Energy-Based Models for Continual Learning


Energy-Based Models for Functional Data using Path Measure Tilting


Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI


Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models


Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion


Energy-Based Sliced Wasserstein Distance


Energy-Based Transformers are Scalable Learners and Thinkers


Energy-Calibrated VAE with Test Time Free Lunch


Energy-Conserving Neural Network for Turbulence Closure Modeling


Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking


Energy-Efficient Analog Beamforming for RF-WET with Charging Time Constraint


Energy-Efficient Blockchain-enabled User-Centric Mobile Edge Computing


Energy-Efficient Cell-Free Massive MIMO Through Sparse Large-Scale Fading Processing


Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce


Energy-Efficient Federated Learning for AIoT using Clustering Methods


Energy-Efficient Parking Analytics System using Deep Reinforcement Learning


Energy-Efficient Power Allocation in Cell-Free Massive MIMO via Graph Neural Networks


Energy-Efficient Task Offloading Under E2E Latency Constraints


Energy-Free Sensing and Context Recognition Using Photovoltaic Cells


Energy-Guided Continuous Entropic Barycenter Estimation for General Costs


Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning


Energy-Inspired Models: Learning with Sampler-Induced Distributions


Energy-Latency Attacks via Sponge Poisoning


Energy-Preserving Reduced Operator Inference for Efficient Design and Control


Energy-aware Multi-UAV Coverage Mission Planning with Optimal Speed of Flight


Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning


Energy-aware Task Scheduling with Deadline Constraint in DVFS-enabled Heterogeneous Clusters


Energy-based Assessment and Driving Behavior of ACC Systems and Humans Inside Platoons


Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning


Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive Modeling


Energy-based Modelling of the Feedback Control of Biomolecular Systems with Cyclic Flow Modulation


Energy-based Out-of-Distribution Detection for Graph Neural Networks


Energy-based Potential Games for Joint Motion Forecasting and Control


Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding


Energy-based Unknown Intent Detection with Data Manipulation


Energy-based generative models for monoclonal antibodies


Energy-based models for atomic-resolution protein conformations


Energy-based physics-informed neural network for frictionless contact problems under large deformation


Energy-based survival modelling using harmoniums


Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials


Energy-efficient Federated Learning with Dynamic Model Size Allocation


Energy-efficient Spiking Neural Network Equalization for IM/DD Systems with Optimized Neural Encoding


Energy-guided Entropic Neural Optimal Transport


Energy-stable global radial basis function methods on summation-by-parts form


EnergyStar++: Towards more accurate and explanatory building energy benchmarking


Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks


Enforcing Almost-Sure Reachability in POMDPs


Enforcing Consistency in Weakly Supervised Semantic Parsing


Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems


Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images


Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization


Enforcing Programming Guidelines with Region Types and Effects


Enforcing connectivity of 3D linear structures using their 2D projections


Enforcing robust control guarantees within neural network policies


Enforcing tail calibration when training probabilistic forecast models


Engagement, User Satisfaction, and the Amplification of Divisive Content on Social Media


Engaging Politically Diverse Audiences on Social Media


Engaging, Large-Scale Functional Programming Education in Physical and Virtual Space


EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine


Engineering 3D Floquet codes by rewinding


Engineering A Workload-balanced Push-Relabel Algorithm for Massive Graphs on GPUs


Engineering Calcium Signaling of Astrocytes for Neural-Molecular Computing Logic Gates


Engineering Fast and Space-Efficient Recompression from SLP-Compressed Text


Engineering Fully Dynamic $Δ$-Orientation Algorithms


Engineering LaCAM$^\ast$: Towards Real-Time, Large-Scale, and Near-Optimal Multi-Agent Pathfinding


Engineering Massively Parallel MST Algorithms


Engineering Minimal k-Perfect Hash Functions


Engineering Monosemanticity in Toy Models


Engineering Nearly Linear-Time Algorithms for Small Vertex Connectivity


Engineering Negative Cycle Canceling for Wind Farm Cabling


Engineering Optimal Parallel Task Scheduling


Engineering Predecessor Data Structures for Dynamic Integer Sets


Engineering Rank/Select Data Structures for Large-Alphabet Strings


Engineering Resilient Collective Adaptive Systems by Self-Stabilisation


Engineering Topological Models with a General-Purpose Symmetry-to-Hamiltonian Approach


Engineering Uniform Sampling of Graphs with a Prescribed Power-law Degree Sequence


Engineering a Distributed Full-Text Index


Engineering a Distributed-Memory Triangle Counting Algorithm


Engineering a Formally Verified Automated Bug Finder


Engineering a Preprocessor for Symmetry Detection


Engineering a U(1) lattice gauge theory in classical electric circuits


Engineering an Exact Pseudo-Boolean Model Counter


Engineering faster double-array Aho-Corasick automata


Engineering flexible machine learning systems by traversing functionally-invariant paths


Engineering morphogenesis of cell clusters with differentiable programming


Engineering optical forces through Maxwell stress tensor inverse design


Engineering the Magnetic Transition Temperatures and the Rare Earth Exchange Interaction in Oxide Heterostructures


Engineering the reciprocal space for ultrathin GaAs solar cells


Engineering thermal transport across layered graphene-MoS2 superlattices


Engineers Code: reusable open learning modules for engineering computations


English Machine Reading Comprehension Datasets: A Survey


English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports


English-Bhojpuri SMT System: Insights from the Karaka Model


EngramNCA: a Neural Cellular Automaton Model of Memory Transfer


Engression: Extrapolation through the Lens of Distributional Regression


Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process


Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length


Enhance Diffusion to Improve Robust Generalization


Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning Architectures


Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model


Enhance Images as You Like with Unpaired Learning


Enhance Incomplete Utterance Restoration by Joint Learning Token Extraction and Text Generation


Enhance Information Propagation for Graph Neural Network by Heterogeneous Aggregations


Enhance Language Identification using Dual-mode Model with Knowledge Distillation


Enhance Multimodal Model Performance with Data Augmentation: Facebook Hateful Meme Challenge Solution


Enhance Reasoning for Large Language Models in the Game Werewolf


Enhance Sketch Recognition's Explainability via Semantic Component-Level Parsing


Enhance Vision-Language Alignment with Noise


Enhance the Visual Representation via Discrete Adversarial Training


Enhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image Enhancement


Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus


Enhance-A-Video: Better Generated Video for Free


Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation Network


Enhanced Astronomical Source Classification with Integration of Attention Mechanisms and Vision Transformers


Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery


Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification


Enhanced Bi-directional Motion Estimation for Video Frame Interpolation


Enhanced Boundary Learning for Glass-like Object Segmentation


Enhanced Bug Prediction in JavaScript Programs with Hybrid Call-Graph Based Invocation Metrics


Enhanced Coherence-Aware Network with Hierarchical Disentanglement for Aspect-Category Sentiment Analysis


Enhanced Compressive Threshold Quantum State Tomography for Qudit Systems


Enhanced Control for Diffusion Bridge in Image Restoration


Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection


Enhanced Cross-Dataset Electroencephalogram-based Emotion Recognition using Unsupervised Domain Adaptation


Enhanced Decentralized Autonomous Aerial Robot Teams with Group Planning


Enhanced Deep Potential Model for Fast and Accurate Molecular Dynamics; Application to the Hydrated Electron


Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions


Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation


Enhanced Encoder-Decoder Architecture for Accurate Monocular Depth Estimation


Enhanced Feature Based Granular Ball Twin Support Vector Machine


Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods


Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models


Enhanced Food Availability can Deteriorate Fitness through Excessive Scrounging


Enhanced Formulation for Guillotine 2D Cutting Problems


Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation Forecasting


Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation


Enhanced Human-Machine Interaction by Combining Proximity Sensing with Global Perception


Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization


Enhanced Importance Sampling through Latent Space Exploration in Normalizing Flows


Enhanced Invertible Encoding for Learned Image Compression


Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression


Enhanced Language Representation with Label Knowledge for Span Extraction


Enhanced Latent Multi-view Subspace Clustering


Enhanced Load Forecasting with GAT-LSTM: Leveraging Grid and Temporal Features


Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques


Enhanced Masked Image Modeling for Analysis of Dental Panoramic Radiographs


Enhanced Memory Network: The novel network structure for Symbolic Music Generation


Enhanced Meta Label Correction for Coping with Label Corruption


Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments


Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources


Enhanced Methods for the Weight Constrained Shortest Path Problem


Enhanced Modeling of Back-Mixing in Chemical Reactor Networks


Enhanced Multi-Objective A* Using Balanced Binary Search Trees


Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion


Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion


Enhanced Online Test-time Adaptation with Feature-Weight Cosine Alignment


Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees


Enhanced Phase Mixing of Torsional Alfvén Waves in Stratified and Divergent Solar Coronal Structures, Paper I: Linear Solutions


Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions


Enhanced Physics-Informed Neural Networks with Augmented Lagrangian Relaxation Method (AL-PINNs)


Enhanced Power Point Tracking for High Hysteresis Perovskite Solar Cells: A Galvanostatic Approach


Enhanced Reverberation as Supervision for Unsupervised Speech Separation


Enhanced Robot Arm at the Edge with NLP and Vision Systems


Enhanced Robotic Navigation in Deformable Environments using Learning from Demonstration and Dynamic Modulation


Enhanced Robust Tracking Control: An Online Learning Approach


Enhanced SCanNet with CBAM and Dice Loss for Semantic Change Detection


Enhanced SMC$^2$: Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals


Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks


Enhanced Security and Privacy via Fragmented Federated Learning


Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution


Enhanced Semantic Segmentation Pipeline for WeatherProof Dataset Challenge


Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization


Enhanced Simultaneous Machine Translation with Word-level Policies


Enhanced Soups for Graph Neural Networks


Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework


Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes


Enhanced Trust Region Sequential Convex Optimization for Multi-Drone Thermal Screening Trajectory Planning in Urban Environments


Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation


Enhanced Variational Inference with Dyadic Transformation


Enhanced and Robust Contrast in CEST MRI: Saturation Pulse Shape Design via Optimal Control


Enhanced anomaly detection in well log data through the application of ensemble GANs


Enhanced countering adversarial attacks via input denoising and feature restoring


Enhanced diffusion over a periodic trap by hydrodynamic coupling to an elastic mode


Enhanced many-body localization in a kinetically constrained model


Enhanced metrology at the critical point of a many-body Rydberg atomic system


Enhanced precision of circadian rhythm by output system


Enhanced sampling methods for molecular dynamics simulations


Enhanced sequential directional importance sampling for structural reliability analysis


Enhanced singular jet formation in oil-coated bubble bursting


Enhanced spatio-temporal electric load forecasts using less data with active deep learning


Enhanced superconductivity in FeSe/SrTiO$_3$ from the combination of forward scattering phonons and spin fluctuations


Enhanced topological superconductivity in spatially modulated planar Josephson junctions


Enhanced variable selection for boosting sparser and less complex models in distributional copula regression


Enhanced word embeddings using multi-semantic representation through lexical chains


Enhanced-alignment Measure for Binary Foreground Map Evaluation


Enhancement of Retinal Fundus Images via Pixel Color Amplification


Enhancement of Short Text Clustering by Iterative Classification


Enhancement of a state-of-the-art RL-based detection algorithm for Massive MIMO radars


Enhancement of price trend trading strategies via image-induced importance weights


Enhancement of the Axion Decay Constant in Inflation and the Weak Gravity Conjecture


Enhancements to P4TG: Protocols, Performance, and Automation


Enhancing 3D Human Pose Estimation Amidst Severe Occlusion with Dual Transformer Fusion


Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors


Enhancing 3D Object Detection with 2D Detection-Guided Query Anchors


Enhancing 3D Planetary Atmosphere Simulations with a Surrogate Radiative Transfer Model


Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning


Enhancing 3D-Air Signature by Pen Tip Tail Trajectory Awareness: Dataset and Featuring by Novel Spatio-temporal CNN


Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback


Enhancing AMR-to-Text Generation with Dual Graph Representations


Enhancing API Documentation through BERTopic Modeling and Summarization


Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing


Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context


Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language


Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision Fusion


Enhancing Adversarial Attacks through Chain of Thought


Enhancing Adversarial Attacks: The Similar Target Method


Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization


Enhancing Adversarial Defense by k-Winners-Take-All


Enhancing Adversarial Example Transferability with an Intermediate Level Attack


Enhancing Adversarial Robustness for Deep Metric Learning


Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation


Enhancing Adversarial Robustness via Score-Based Optimization


Enhancing Adversarial Robustness via Test-time Transformation Ensembling


Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability


Enhancing Adversarial Training via Reweighting Optimization Trajectory


Enhancing Adversarial Training with Second-Order Statistics of Weights


Enhancing Adversarial Transferability via Information Bottleneck Constraints


Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development


Enhancing Affective Representations of Music-Induced EEG through Multimodal Supervision and latent Domain Adaptation


Enhancing Affinity Propagation for Improved Public Sentiment Insights


Enhancing Agent Learning through World Dynamics Modeling


Enhancing Agricultural Environment Perception via Active Vision and Zero-Shot Learning


Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation


Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of Augmentation


Enhancing Apple's Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging


Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information


Enhancing Assamese NLP Capabilities: Introducing a Centralized Dataset Repository


Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation


Enhancing Audio-Language Models through Self-Supervised Post-Training with Text-Audio Pairs


Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning


Enhancing Automated Audio Captioning via Large Language Models with Optimized Audio Encoding


Enhancing Automated Interpretability with Output-Centric Feature Descriptions


Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models


Enhancing Autonomous Navigation by Imaging Hidden Objects using Single-Photon LiDAR


Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation Training


Enhancing BERTopic with Intermediate Layer Representations


Enhancing Backdoor Attacks with Multi-Level MMD Regularization


Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting


Enhancing Biomedical Knowledge Discovery for Diseases: An Open-Source Framework Applied on Rett Syndrome and Alzheimer's Disease


Enhancing Biomedical Lay Summarisation with External Knowledge Graphs


Enhancing Biomedical Relation Extraction with Directionality


Enhancing Blind Video Quality Assessment with Rich Quality-aware Features


Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation


Enhancing Boolean networks with continuous logical operators and edge tuning


Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods


Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning


Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts


Enhancing COVID-19 Severity Analysis through Ensemble Methods


Enhancing CTR Prediction with Context-Aware Feature Representation Learning


Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning


Enhancing Causal Estimation through Unlabeled Offline Data


Enhancing Cell Tracking with a Time-Symmetric Deep Learning Approach


Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss


Enhancing Changepoint Detection: Penalty Learning through Deep Learning Techniques


Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning


Enhancing Chart-to-Code Generation in Multimodal Large Language Models via Iterative Dual Preference Learning


Enhancing Chat Language Models by Scaling High-quality Instructional Conversations


Enhancing Chess Reinforcement Learning with Graph Representation


Enhancing Clinical Data Warehouses with Provenance and Large File Management: The gitOmmix Approach for Clinical Omics Data


Enhancing Clinical Models with Pseudo Data for De-identification


Enhancing Close-up Novel View Synthesis via Pseudo-labeling


Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs


Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding


Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data


Enhancing Cognitive Models of Emotions with Representation Learning


Enhancing Collaborative Filtering Recommender with Prompt-Based Sentiment Analysis


Enhancing Column Generation by a Machine-Learning-Based Pricing Heuristic for Graph Coloring


Enhancing Commentary Strategies for Imperfect Information Card Games: A Study of Large Language Models in Guandan Commentary


Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval


Enhancing Compositional Generalization via Compositional Feature Alignment


Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data


Enhancing Conditional Image Generation with Explainable Latent Space Manipulation


Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization


Enhancing Content-based Recommendation via Large Language Model


Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding


Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation


Enhancing Continual Relation Extraction via Classifier Decomposition


Enhancing Continuous Time Series Modelling with a Latent ODE-LSTM Approach


Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"


Enhancing Contrastive Learning-based Electrocardiogram Pretrained Model with Patient Memory Queue


Enhancing Convergence Speed with Feature-Enforcing Physics-Informed Neural Networks: Utilizing Boundary Conditions as Prior Knowledge for Faster Convergence


Enhancing Conversational Agents with Theory of Mind: Aligning Beliefs, Desires, and Intentions for Human-Like Interaction


Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting


Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning


Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration


Enhancing Counterfactual Classification via Self-Training


Enhancing Court View Generation with Knowledge Injection and Guidance


Enhancing Creative Generation on Stable Diffusion-based Models


Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning


Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision


Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information


Enhancing Cross-Modal Medical Image Segmentation through Compositionality


Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target Tokens


Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping


Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer


Enhancing Cross-lingual Prompting with Dual Prompt Augmentation


Enhancing Cross-lingual Transfer by Manifold Mixup


Enhancing Cross-lingual Transfer via Phonemic Transcription Integration


Enhancing Cyber Security through Predictive Analytics: Real-Time Threat Detection and Response


Enhancing Dataset Distillation via Label Inconsistency Elimination and Learning Pattern Refinement


Enhancing Decision Analysis with a Large Language Model: pyDecision a Comprehensive Library of MCDA Methods in Python


Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information


Enhancing Deep Learning Models through Tensorization: A Comprehensive Survey and Framework


Enhancing Deep Learning Performance of Massive MIMO CSI Feedback


Enhancing Deep Learning with Scenario-Based Override Rules: a Case Study


Enhancing Deep Learning-based 3-lead ECG Classification with Heartbeat Counting and Demographic Data Integration


Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation


Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints


Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization


Enhancing Depression Detection via Question-wise Modality Fusion


Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model


Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach


Enhancing Dialogue Summarization with Topic-Aware Global- and Local- Level Centrality


Enhancing Diffusion Models Efficiency by Disentangling Total-Variance and Signal-to-Noise Ratio


Enhancing Diffusion Models with Text-Encoder Reinforcement Learning


Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance


Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids


Enhancing Discrete Choice Models with Representation Learning


Enhancing Distributional Stability among Sub-populations


Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA


Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identification


Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance


Enhancing Document-level Relation Extraction by Entity Knowledge Injection


Enhancing Domain Adaptation through Prompt Gradient Alignment


Enhancing Domain Word Embedding via Latent Semantic Imputation


Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models


Enhancing Door-Status Detection for Autonomous Mobile Robots during Environment-Specific Operational Use


Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks


Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation


Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs


Enhancing Egocentric 3D Pose Estimation with Third Person Views


Enhancing End-to-End Autonomous Driving with Latent World Model


Enhancing Engagement in Token-Curated Registries via an Inflationary Mechanism


Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms


Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste


Enhancing Ethereum Fraud Detection via Generative and Contrastive Self-supervision


Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement


Enhancing Event-Level Sentiment Analysis with Structured Arguments


Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP for CNN Interpretability


Enhancing Exploratory Capability of Visual Navigation Using Uncertainty of Implicit Scene Representation


Enhancing Expressiveness in Dance Generation via Integrating Frequency and Music Style Information


Enhancing Facial Privacy Protection via Weakening Diffusion Purification


Enhancing Factorization Machines with Generalized Metric Learning


Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement


Enhancing Fairness of Visual Attribute Predictors


Enhancing Fake News Detection in Social Media via Label Propagation on Cross-modal Tweet Graph


Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers


Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms


Enhancing Few-Shot Out-of-Distribution Detection with Gradient Aligned Context Optimization


Enhancing Fiber Orientation Distributions using convolutional Neural Networks


Enhancing Financial Market Predictions: Causality-Driven Feature Selection


Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models


Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models


Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization


Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping


Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images


Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning


Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features


Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing


Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation


Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer


Enhancing Generic Segmentation with Learned Region Representations


Enhancing Genetic Improvement Mutations Using Large Language Models


Enhancing Geometric Ontology Embeddings for $\mathcal{EL}^{++}$ with Negative Sampling and Deductive Closure Filtering


Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series


Enhancing Goal-oriented Proactive Dialogue Systems via Consistency Reflection and Correction


Enhancing Grammatical Error Correction Systems with Explanations


Enhancing Grammatical Error Detection using BERT with Cleaned Lang-8 Dataset


Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation


Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis


Enhancing Graph Transformers with Hierarchical Distance Structural Encoding


Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation


Enhancing Group Fairness in Online Settings Using Oblique Decision Forests


Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation


Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses


Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration


Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion


Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards


Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning


Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping


Enhancing High-order Interaction Awareness in LLM-based Recommender Model


Enhancing Historical Image Retrieval with Compositional Cues


Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs


Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning


Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework


Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization


Enhancing Hyperedge Prediction with Context-Aware Self-Supervised Learning


Enhancing Hypergradients Estimation: A Study of Preconditioning and Reparameterization


Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network


Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation


Enhancing ID-based Recommendation with Large Language Models


Enhancing Identification of Structure Function of Academic Articles Using Contextual Information


Enhancing Image Generation Fidelity via Progressive Prompts


Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach


Enhancing Image Restoration through Learning Context-Rich and Detail-Accurate Features


Enhancing Image-Text Matching with Adaptive Feature Aggregation


Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach


Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective


Enhancing In-Memory Spatial Indexing with Learned Search


Enhancing In-context Learning via Linear Probe Calibration


Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency


Enhancing Indoor Mobility with Connected Sensor Nodes: A Real-Time, Delay-Aware Cooperative Perception Approach


Enhancing Inflation Nowcasting with LLM: Sentiment Analysis on News


Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning


Enhancing Interpretability and Interactivity in Robot Manipulation: A Neurosymbolic Approach


Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder


Enhancing Item-level Bundle Representation for Bundle Recommendation


Enhancing Keyphrase Extraction from Academic Articles Using Section Structure Information


Enhancing Keyphrase Extraction from Academic Articles with their Reference Information


Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings


Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting


Enhancing Knowledge Distillation of Large Language Models through Efficient Multi-Modal Distribution Alignment


Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue


Enhancing Knowledge Tracing via Adversarial Training


Enhancing Knowledge Tracing with Concept Map and Response Disentanglement


Enhancing LLM Agent Safety via Causal Influence Prompting


Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency


Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases


Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study


Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution


Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry


Enhancing Label Consistency on Document-level Named Entity Recognition


Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning


Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding


Enhancing Language Multi-Agent Learning with Multi-Agent Credit Re-Assignment for Interactive Environment Generalization


Enhancing Large Language Model with Self-Controlled Memory Framework


Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting


Enhancing Large Language Models for Hardware Verification: A Novel SystemVerilog Assertion Dataset


Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency


Enhancing Large Language Models through Neuro-Symbolic Integration and Ontological Reasoning


Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection


Enhancing Large Language Models' Situated Faithfulness to External Contexts


Enhancing Large Vision Language Models with Self-Training on Image Comprehension


Enhancing Large-scale UAV Route Planing with Global and Local Features via Reinforcement Graph Fusion


Enhancing Leakage Attacks on Searchable Symmetric Encryption Using LLM-Based Synthetic Data Generation


Enhancing Learnable Descriptive Convolutional Vision Transformer for Face Anti-Spoofing


Enhancing Learned Image Compression via Cross Window-based Attention


Enhancing Legal Argument Mining with Domain Pre-training and Neural Networks


Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs


Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques


Enhancing Ligand Pose Sampling for Molecular Docking


Enhancing Listened Speech Decoding from EEG via Parallel Phoneme Sequence Prediction


Enhancing Lithological Mapping with Spatially Constrained Bayesian Network (SCB-Net): An Approach for Field Data-Constrained Predictions with Uncertainty Evaluation


Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data


Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation


Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo


Enhancing Low-Resource Relation Representations through Multi-View Decoupling


Enhancing Low-light Light Field Images with A Deep Compensation Unfolding Network


Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets


Enhancing MAP-Elites with Multiple Parallel Evolution Strategies


Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation


Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers


Enhancing Machine Translation with Dependency-Aware Self-Attention


Enhancing Magnetocaloric Material Discovery: A Machine Learning Approach Using an Autogenerated Database by Large Language Models


Enhancing Masked Time-Series Modeling via Dropping Patches


Enhancing Measurements of the CMB Blackbody Temperature Power Spectrum by Removing CIB and Thermal Sunyaev-Zel'dovich Contamination Using External Galaxy Catalogs


Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment


Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach


Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals


Enhancing Micro Gesture Recognition for Emotion Understanding via Context-aware Visual-Text Contrastive Learning


Enhancing Missing Data Imputation of Non-stationary Signals with Harmonic Decomposition


Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization


Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash


Enhancing Modal Fusion by Alignment and Label Matching for Multimodal Emotion Recognition


Enhancing Model Assessment in Vision-based Interactive Machine Teaching through Real-time Saliency Map Visualization


Enhancing Model Interpretability with Local Attribution over Global Exploration


Enhancing Model Robustness and Fairness with Causality: A Regularization Approach


Enhancing Molecular Property Prediction via Mixture of Collaborative Experts


Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation


Enhancing Monocular 3D Scene Completion with Diffusion Model


Enhancing Monocular Depth Estimation with Multi-Source Auxiliary Tasks


Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning


Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment


Enhancing Multi-Robot Semantic Navigation Through Multimodal Chain-of-Thought Score Collaboration


Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation


Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples


Enhancing Multimodal Large Language Models Complex Reason via Similarity Computation


Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-Attention


Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck


Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion


Enhancing Multivariate Time Series-based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning


Enhancing Natural Language Representation with Large-Scale Out-of-Domain Commonsense


Enhancing Navigational Safety in Crowded Environments using Semantic-Deep-Reinforcement-Learning-based Navigation


Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts


Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images


Enhancing Network Management Using Code Generated by Large Language Models


Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration


Enhancing Neural Machine Translation with Semantic Units


Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders


Enhancing Neural Network Representations with Prior Knowledge-Based Normalization


Enhancing New-item Fairness in Dynamic Recommender Systems


Enhancing Nighttime UAV Tracking with Light Distribution Suppression


Enhancing Node Representations for Real-World Complex Networks with Topological Augmentation


Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training


Enhancing Novel Object Detection via Cooperative Foundational Models


Enhancing OOD Detection Using Latent Diffusion


Enhancing Object Coherence in Layout-to-Image Synthesis


Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance


Enhancing Omics Cohort Discovery for Research on Neurodegeneration through Ontology-Augmented Embedding Models


Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting


Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data


Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense Retrieval


Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub


Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes


Enhancing Out-of-Distribution Detection in Medical Imaging with Normalizing Flows


Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble


Enhancing Out-of-Vocabulary Performance of Indian TTS Systems for Practical Applications through Low-Effort Data Strategies


Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks


Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation


Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism


Enhancing Patient Acceptance of Robotic Ultrasound through Conversational Virtual Agent and Immersive Visualizations


Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information


Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning


Enhancing Perceptual Attributes with Bayesian Style Generation


Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models


Enhancing Person Re-identification in a Self-trained Subspace


Enhancing Personality Recognition in Dialogue by Data Augmentation and Heterogeneous Conversational Graph Networks


Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona


Enhancing Pharmacovigilance with Drug Reviews and Social Media


Enhancing Phenotype Recognition in Clinical Notes Using Large Language Models: PhenoBCBERT and PhenoGPT


Enhancing Plagiarism Detection in Marathi with a Weighted Ensemble of TF-IDF and BERT Embeddings for Low-Resource Language Processing


Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object Recognition


Enhancing Power Prediction of Photovoltaic Systems: Leveraging Dynamic Physical Model for Irradiance-to-Power Conversion


Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention


Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment


Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals


Enhancing Quantised End-to-End ASR Models via Personalisation


Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image


Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain


Enhancing RWKV-based Language Models for Long-Sequence Text Generation


Enhancing Rating-Based Reinforcement Learning to Effectively Leverage Feedback from Large Vision-Language Models


Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes


Enhancing Reasoning to Adapt Large Language Models for Domain-Specific Applications


Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective


Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles


Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding


Enhancing Relation Extraction via Supervised Rationale Verification and Feedback


Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification


Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach


Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning


Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module Model


Enhancing Retrieval in QA Systems with Derived Feature Association


Enhancing Retrieval-Augmented Generation: A Study of Best Practices


Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration


Enhancing Robot Assistive Behaviour with Reinforcement Learning and Theory of Mind


Enhancing Robot Learning through Learned Human-Attention Feature Maps


Enhancing Robust Fairness via Confusional Spectral Regularization


Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria


Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems


Enhancing Robustness in Incremental Learning with Adversarial Training


Enhancing Robustness of AI Offensive Code Generators via Data Augmentation


Enhancing Robustness of On-line Learning Models on Highly Noisy Data


Enhancing SAT solvers with glue variable predictions


Enhancing SDO/HMI images using deep learning


Enhancing SNN-based Spatio-Temporal Learning: A Benchmark Dataset and Cross-Modality Attention Model


Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training


Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles


Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization


Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding


Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization


Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization


Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection


Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning


Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling


Enhancing Scene Coordinate Regression with Efficient Keypoint Detection and Sequential Information


Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models


Enhancing Scientific Papers Summarization with Citation Graph


Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic Labels


Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization


Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models


Enhancing Semantics in Multimodal Chain of Thought via Soft Negative Sampling


Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection


Enhancing Sentence Embedding with Generalized Pooling


Enhancing Sequence-to-Sequence Neural Lemmatization with External Resources


Enhancing Sequential Music Recommendation with Personalized Popularity Awareness


Enhancing Sharpness-Aware Optimization Through Variance Suppression


Enhancing Signed Graph Neural Networks through Curriculum-Based Training


Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning


Enhancing Skin Cancer Diagnosis (SCD) Using Late Discrete Wavelet Transform (DWT) and New Swarm-Based Optimizers


Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting


Enhancing Social Robot Navigation with Integrated Motion Prediction and Trajectory Planning in Dynamic Human Environments


Enhancing Sound Source Localization via False Negative Elimination


Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features


Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction


Enhancing Spatiotemporal Traffic Prediction through Urban Human Activity Analysis


Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation


Enhancing Split Computing and Early Exit Applications through Predefined Sparsity


Enhancing Stability and Assessing Uncertainty in Community Detection through a Consensus-based Approach


Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing


Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors


Enhancing Subsequent Video Retrieval via Vision-Language Models (VLMs)


Enhancing Sufficient Dimension Reduction via Hellinger Correlation


Enhancing Super-Resolution Networks through Realistic Thick-Slice CT Simulation


Enhancing Surface Neural Implicits with Curvature-Guided Sampling and Uncertainty-Augmented Representations


Enhancing Sustainable Urban Mobility Prediction with Telecom Data: A Spatio-Temporal Framework Approach


Enhancing Symbolic Execution of Heap-based Programs with Separation Logic for Test Input Generation


Enhancing Symbolic Regression with Quality-Diversity and Physics-Inspired Constraints


Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration


Enhancing System-Level Safety in Mixed-Autonomy Platoon via Safe Reinforcement Learning


Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner


Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems


Enhancing Task-Oriented Dialogues with Chitchat: a Comparative Study Based on Lexical Diversity and Divergence


Enhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism


Enhancing Temporal Modeling of Video LLMs via Time Gating


Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation


Enhancing Text Generation with Cooperative Training


Enhancing Text-based Knowledge Graph Completion with Zero-Shot Large Language Models: A Focus on Semantic Enhancement


Enhancing Textbooks with Visuals from the Web for Improved Learning


Enhancing Thermal MOT: A Novel Box Association Method Leveraging Thermal Identity and Motion Similarity


Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs


Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers


Enhancing Tool Retrieval with Iterative Feedback from Large Language Models


Enhancing Trade-offs in Privacy, Utility, and Computational Efficiency through MUltistage Sampling Technique (MUST)


Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes


Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion


Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis


Enhancing Training Data Attribution with Representational Optimization


Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective


Enhancing Transformer RNNs with Multiple Temporal Perspectives


Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured Matrix


Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning


Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities


Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training


Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games


Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout


Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus


Enhancing Underwater Imaging with 4-D Light Fields: Dataset and Method


Enhancing Unsupervised Anomaly Detection with Score-Guided Network


Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport


Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns


Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms


Enhancing Vectorized Map Perception with Historical Rasterized Maps


Enhancing Vehicle Re-identification and Matching for Weaving Analysis


Enhancing Video Summarization with Context Awareness


Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations


Enhancing Virtual Ontology Based Access over Tabular Data with Morph-CSV


Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution


Enhancing Vision-Language Model Pre-training with Image-text Pair Pruning Based on Word Frequency


Enhancing Vision-Language Model with Unmasked Token Alignment


Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner


Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues


Enhancing Visual Dialog Questioner with Entity-based Strategy Learning and Augmented Guesser


Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning


Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models


Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer


Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras


Enhancing Visual Question Answering through Question-Driven Image Captions as Prompts


Enhancing Visual Representation for Text-based Person Searching


Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement


Enhancing Visually-Rich Document Understanding via Layout Structure Modeling


Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning


Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-Labels


Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset


Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning


Enhancing Wide-Angle Image Using Narrow-Angle View of the Same Scene


Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources


Enhancing Wrist Fracture Detection with YOLO


Enhancing Your Trained DETRs with Box Refinement


Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic


Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer


Enhancing Zero-shot Audio Classification using Sound Attribute Knowledge from Large Language Models


Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures


Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks


Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences


Enhancing adversarial robustness in Natural Language Inference using explanations


Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression


Enhancing cluster analysis via topological manifold learning


Enhancing crowd flow prediction in various spatial and temporal granularities


Enhancing data efficiency in reinforcement learning: a novel imagination mechanism based on mesh information propagation


Enhancing data-limited assessments with random effects: A case study on Korea chub mackerel (Scomber japonicus)


Enhancing elusive clues in knowledge learning by contrasting attention of language models


Enhancing generalizability of model discovery across parameter space with multi-experiment equation learning (ME-EQL)


Enhancing gravitational-wave host localization with SKYFAST: rapid volume and inclination angle reconstruction


Enhancing high-content imaging for studying microtubule networks at large-scale


Enhancing interpretability of rule-based classifiers through feature graphs


Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models


Enhancing magic sets with an application to ontological reasoning


Enhancing mmWave Radar Point Cloud via Visual-inertial Supervision


Enhancing multimodal analogical reasoning with Logic Augmented Generation


Enhancing multimodal cooperation via sample-level modality valuation


Enhancing naive classifier for positive unlabeled data based on logistic regression approach


Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers


Enhancing predictive imaging biomarker discovery through treatment effect analysis


Enhancing pretraining efficiency for medical image segmentation via transferability metrics


Enhancing quantum state tomography via resource-efficient attention-based neural networks


Enhancing reliability in prediction intervals using point forecasters: Heteroscedastic Quantile Regression and Width-Adaptive Conformal Inference


Enhancing searches for resonances with machine learning and moment decomposition


Enhancing sensor resolution improves CNN accuracy given the same number of parameters or FLOPS


Enhancing signal detectability in learning-based CT reconstruction with a model observer inspired loss function


Enhancing targeted transferability via feature space fine-tuning


Enhancing temporal segmentation by nonlocal self-similarity


Enhancing textual textbook question answering with large language models and retrieval augmented generation


Enhancing the Accuracy and Comprehensibility in Architectural Tactics Detection via Small Model-Augmented Prompt Engineering


Enhancing the Accuracy and Fairness of Human Decision Making


Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes


Enhancing the Accuracy of Spatio-Temporal Models for Wind Speed Prediction by Incorporating Bias-Corrected Crowdsourced Data


Enhancing the Analysis of Software Failures in Cloud Computing Systems with Deep Learning


Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement


Enhancing the De-identification of Personally Identifiable Information in Educational Data


Enhancing the EEG Speech Match Mismatch Tasks With Word Boundaries


Enhancing the Efficiency and Accuracy of Underlying Asset Reviews in Structured Finance: The Application of Multi-agent Framework


Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification


Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning


Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural Integration


Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks


Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational Videos


Enhancing the Patent Matching Capability of Large Language Models via the Memory Graph


Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning


Enhancing the Performance of Multi-Vehicle Navigation in Unstructured Environments using Hard Sample Mining


Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation


Enhancing the Rationale-Input Alignment for Self-explaining Rationalization


Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning


Enhancing the Robustness of LLM-Generated Code: Empirical Study and Framework


Enhancing the Self-Universality for Transferable Targeted Attacks


Enhancing the Transferability of Adversarial Attacks through Variance Tuning


Enhancing the Transformer Decoder with Transition-based Syntax


Enhancing the Utility of Higher-Order Information in Relational Learning


Enhancing the analysis of murine neonatal ultrasonic vocalizations: Development, evaluation, and application of different mathematical models


Enhancing the automatic segmentation and analysis of 3D liver vasculature models


Enhancing training of physics-informed neural networks using domain-decomposition based preconditioning strategies


Enhancing universal machine learning potentials with polarizable long-range interactions


Enhancing variational generation through self-decomposition


Enhancing variational quantum state diagonalization using reinforcement learning techniques


Enhancing weak lensing redshift distribution characterization by optimizing the Dark Energy Survey Self-Organizing Map Photo-z method


Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach


EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States


Enigme: Generative Text Puzzles for Evaluating Reasoning in Language Models


Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience


Enlarged Large Margin Loss for Imbalanced Classification


Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection


Enoki: Stateful Distributed FaaS from Edge to Cloud


Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion


EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction


EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction


Enriched BERT Embeddings for Scholarly Publication Classification


Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution


Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing


Enriched Music Representations with Multiple Cross-modal Contrastive Learning


Enriching BERT with Knowledge Graph Embeddings for Document Classification


Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation


Enriching Documents with Compact, Representative, Relevant Knowledge Graphs


Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Media


Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings


Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets


Enriching Knowledge Bases with Counting Quantifiers


Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations


Enriching Local and Global Contexts for Temporal Action Localization


Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval


Enriching Neural Models with Targeted Features for Dementia Detection


Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees


Enriching Ontologies with Disjointness Axioms using Large Language Models


Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging


Enriching Patent Claim Generation with European Patent Dataset


Enriching Physical-Virtual Interaction in AR Gaming by Tracking Identical Real Objects


Enriching Rare Word Representations in Neural Language Models by Embedding Matrix Augmentation


Enriching Social Science Research via Survey Item Linking


Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study


Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization


Enriching Unsupervised User Embedding via Medical Concepts


Enriching Word Embeddings with Temporal and Spatial Information


Enriching Word Usage Graphs with Cluster Definitions


Enriching language models with graph-based context information to better understand textual data


Enriching meta-analyses through scoping review, bibliometrics, and alternative impact metrics: Visualizing study characteristics, hidden risk of bias, societal influence, and research translation


Enriching thermal point clouds of buildings using semantic 3D building models


Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition


EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models


EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classification


EnseSmells: Deep ensemble and programming language models for automated code smells detection


Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data


Ensemble Clustering via Co-association Matrix Self-enhancement


Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting


Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System


Ensemble Distillation for Robust Model Fusion in Federated Learning


Ensemble Distillation for Unsupervised Constituency Parsing


Ensemble Forecasts of Solar Wind Connectivity to 1 Rs using ADAPT-WSA


Ensemble Framework for Real-time Decision Making


Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces


Ensemble Generalization of the Perdew-Zunger Self-Interaction Correction: a Way Out of Multiple Minima and Symmetry Breaking


Ensemble Kalman Filtering for Glacier Modeling


Ensemble Kalman Inversion for Geothermal Reservoir Modelling


Ensemble Kalman Inversion for Image Guided Guide Wire Navigation in Vascular Systems


Ensemble Kalman Methods: A Mean Field Perspective


Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning


Ensemble Learning Applied to Classify GPS Trajectories of Birds into Male or Female


Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration


Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography


Ensemble Learning using Transformers and Convolutional Networks for Masked Face Recognition


Ensemble Learning via Knowledge Transfer for CTR Prediction


Ensemble MCMC: Accelerating Pseudo-Marginal MCMC for State Space Models using the Ensemble Kalman Filter


Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices


Ensemble Method for Cluster Number Determination and Algorithm Selection in Unsupervised Learning


Ensemble Methods for Robust Support Vector Machines using Integer Programming


Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data


Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach


Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation


Ensemble Models for Spoofing Detection in Automatic Speaker Verification


Ensemble Multi-Quantiles: Adaptively Flexible Distribution Prediction for Uncertainty Quantification


Ensemble Network for Ranking Images Based on Visual Appeal


Ensemble Prediction via Covariate-dependent Stacking


Ensemble Pruning based on Objection Maximization with a General Distributed Framework


Ensemble Quantile Networks: Uncertainty-Aware Reinforcement Learning with Applications in Autonomous Driving


Ensemble Sales Forecasting Study in Semiconductor Industry


Ensemble Semi-supervised Entity Alignment via Cycle-teaching


Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems


Ensemble Watermarks for Large Language Models


Ensemble Wrapper Subsampling for Deep Modulation Classification


Ensemble X-ray variability of optically selected QSOs: dependence on black hole mass and Eddington ratio


Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning


Ensemble and Mixture-of-Experts DeepONets For Operator Learning


Ensemble architecture in polyp segmentation


Ensemble distributional forecasting for insurance loss reserving


Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation


Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models


Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing


Ensemble learning using individual neonatal data for seizure detection


Ensemble learning with 3D convolutional neural networks for connectome-based prediction


Ensemble long short-term memory (EnLSTM) network


Ensemble methods for neural network-based weather forecasts


Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based Aggregation


Ensemble of Deep Convolutional Neural Networks for real-time gravitational wave signal recognition


Ensemble of Large Language Models for Curated Labeling and Rating of Free-text Data


Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods


Ensemble of MRR and NDCG models for Visual Dialog


Ensemble of Multi-View Learning Classifiers for Cross-Domain Iris Presentation Attack Detection


Ensemble of Neural Classifiers for Scoring Knowledge Base Triples


Ensemble of Pre-Trained Neural Networks for Segmentation and Quality Detection of Transmission Electron Microscopy Images


Ensemble of Task-Specific Language Models for Brain Encoding


Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming


Ensemble preconditioning for Markov chain Monte Carlo simulation


Ensemble sampler for infinite-dimensional inverse problems


Ensemble score filter with image inpainting for data assimilation in tracking surface quasi-geostrophic dynamics with partial observations


Ensemble transport smoothing. Part I: Unified framework


Ensemble transport smoothing. Part II: Nonlinear updates


Ensemble weather forecast post-processing with a flexible probabilistic neural network approach


Ensemble- and Distance-Based Feature Ranking for Unsupervised Learning


Ensemble-Based Annealed Importance Sampling


Ensemble-Based Quantum-Token Protocol Benchmarked on IBM Quantum Processors


Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structure


Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs


Ensemble-based Blackbox Attacks on Dense Prediction


Ensemble-based Deep Multilayer Community Search


Ensemble-based gradient inference for particle methods in optimization and sampling


Ensemble-based modeling abstractions for modern self-optimizing systems


EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking


EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines


Ensembles of Localised Models for Time Series Forecasting


Ensembles of Probabilistic Regression Trees


Ensembles of Randomized Time Series Shapelets Provide Improved Accuracy while Reducing Computational Costs


Ensembles provably learn equivariance through data augmentation


Ensembling Diffusion Models via Adaptive Feature Aggregation


Ensembling Finetuned Language Models for Text Classification


Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis


Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding


Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers


Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction


Ensembling geophysical models with Bayesian Neural Networks


Ensuring Medical AI Safety: Explainable AI-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data


Ensuring Reproducibility in Generative AI Systems for General Use Cases: A Framework for Regression Testing and Open Datasets


Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss--Legendre nodes


Ensuring thermodynamic consistency with invertible coarse-graining


Ensuring trustworthy and ethical behaviour in intelligent logical agents


EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification


EntEval: A Holistic Evaluation Benchmark for Entity Representations


EntQA: Entity Linking as Question Answering


Entaglement-Based Quantum Mean Estimator Circuit


Entailed Between the Lines: Incorporating Implication into NLI


Entailment Graph Learning with Textual Entailment and Soft Transitivity


Entailment Semantics Can Be Extracted from an Ideal Language Model


Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner


Entangled Datasets for Quantum Machine Learning


Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields


Entangled photons from composite cascade emitters


Entanglement Detection Beyond Measuring Fidelities


Entanglement Trajectory and its Boundary


Entanglement buffering with multiple quantum memories


Entanglement buffering with two quantum memories


Entanglement engineering of optomechanical systems by reinforcement learning


Entanglement entropy in lattices with non-abelian gauge groups


Entanglement-assisted authenticated BB84 protocol


Entanglement-assisted variational algorithm for discrete optimization problems


Entanglement-guided architectures of machine learning by quantum tensor network


Entanglement-induced provable and robust quantum learning advantages


Entangleware Sequencer: A Control Platform for Atomic Physics Experiments


Entangling Quantum Generative Adversarial Networks


Entering Real Social World! Benchmarking the Social Intelligence of Large Language Models from a First-person Perspective


Enterprise to Computer: Star Trek chatbot


Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees


Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing


Entity Abstraction in Visual Model-Based Reinforcement Learning


Entity Aware Negative Sampling with Auxiliary Loss of False Negative Prediction for Knowledge Graph Embedding


Entity Commonsense Representation for Neural Abstractive Summarization


Entity Concept-enhanced Few-shot Relation Extraction


Entity Extraction from High-Level Corruption Schemes via Large Language Models


Entity Linking in 40 Languages using MAG


Entity Projection via Machine Translation for Cross-Lingual NER


Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach


Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction


Entity Synonym Discovery via Multipiece Bilateral Context Matching


Entity Tagging: Extracting Entities in Text Without Mention Supervision


Entity Tracking Improves Cloze-style Reading Comprehension


Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction


Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding


Entity-Aware Dual Co-Attention Network for Fake News Detection


Entity-Based Evaluation of Political Bias in Automatic Summarization


Entity-Based Knowledge Conflicts in Question Answering


Entity-Centric Reinforcement Learning for Object Manipulation from Pixels


Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval


Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever


Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval


Entity-Enriched Neural Models for Clinical Question Answering


Entity-Level Sentiment Analysis (ELSA): An exploratory task survey


Entity-Level Sentiment: More than the Sum of Its Parts


Entity-Level Text-Guided Image Manipulation


Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models


Entity-aware Cross-lingual Claim Detection for Automated Fact-checking


Entity-aware Transformers for Entity Search


Entity-aware and Motion-aware Transformers for Language-driven Action Localization in Videos


Entity-based Reinforcement Learning for Autonomous Cyber Defence


Entity-based SpanCopy for Abstractive Summarization to Improve the Factual Consistency


Entity-centered Cross-document Relation Extraction


Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature


Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression Grounding


Entropic Associative Memory for Manuscript Symbols


Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing


Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs


Entropic Neural Optimal Transport via Diffusion Processes


Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets


Entropic gradient descent algorithms and wide flat minima


Entropic singularities give rise to quantum transmission


Entropically Damped Artificial Compressibility for SPH


Entropy Aware Message Passing in Graph Neural Networks


Entropy Aware Training for Fast and Accurate Distributed GNN


Entropy Causal Graphs for Multivariate Time Series Anomaly Detection


Entropy Coding of Unordered Data Structures


Entropy Collapse in Mobile Sensors: The Hidden Risks of Sensor-Based Security


Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving


Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation


Entropy Minimization vs. Diversity Maximization for Domain Adaptation


Entropy Neural Estimation for Graph Contrastive Learning


Entropy Non-increasing Games for the Improvement of Dataflow Programming


Entropy Regularized Optimal Transport Independence Criterion


Entropy Regularized Power k-Means Clustering


Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning


Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors


Entropy plateaus can emerge from gas replacement at a characteristic halo mass in simulated groups and clusters of galaxies


Entropy production given constraints on the energy functions


Entropy regularization in probabilistic clustering


Entropy solutions of non-local scalar conservation laws with congestion via deterministic particle method


Entropy stable hydrostatic reconstruction schemes for shallow water systems


Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal


Entropy-Based Adaptive Weighting for Self-Training


Entropy-Based Strategies for Multi-Bracket Pools


Entropy-Driven Genetic Optimization for Deep-Feature-Guided Low-Light Image Enhancement


Entropy-Guided Attention for Private LLMs


Entropy-Guided Sampling of Flat Modes in Discrete Spaces


Entropy-Informed Weighting Channel Normalizing Flow


Entropy-MCMC: Sampling from Flat Basins with Ease


Entropy-Regularized Process Reward Model


Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement


Entropy-Reinforced Planning with Large Language Models for Drug Discovery


Entropy-aware non-oscillatory high-order finite volume methods using the Dafermos entropy rate criterion


Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties


Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists


Entropy-based Logic Explanations of Neural Networks


Entropy-based Stability-Plasticity for Lifelong Learning


Entropy-based adaptive Hamiltonian Monte Carlo


Entropy-based measure of rock sample heterogeneity derived from micro-CT images


Entropy-conservative high-order methods for high-enthalpy gas flows


Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation


Entropy-driven Unsupervised Keypoint Representation Learning in Videos


Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning


Entropy-regularized Point-based Value Iteration


EntropyStop: Unsupervised Deep Outlier Detection with Loss Entropy


Entrywise convergence of iterative methods for eigenproblems


Enumerate-Conjecture-Prove: Formally Solving Answer-Construction Problems in Math Competitions


Enumerating Fair Packages for Group Recommendations


Enumerating Stable Nanopores in Graphene and their Geometrical Properties Using the Combinatorics of Hexagonal Lattices


Enumerating hyperelliptic curves over finite fields in quasilinear time


Enumeration of Minimum Weight Codewords of Pre-Transformed Polar Codes by Tree Intersection


Enumeration of Rational Cuspidal Curves via the WDVV equation


Enumeration of all superconducting circuits up to 5 nodes


Enumeration of lattice polytopes by their volume


Enumeration of max-pooling responses with generalized permutohedra


Enumeration of regular fractional factorial designs with four-level and two-level factors


Enumeration of set-theoretic solutions to the Yang-Baxter equation


Enumeration of virtual quandles up to isomorphism


Enumerative geometry and modularity in two-modulus K3-fibered Calabi-Yau threefolds


EnvBench: A Benchmark for Automated Environment Setup


EnvEdit: Environment Editing for Vision-and-Language Navigation


EnvGS: Modeling View-Dependent Appearance with Environment Gaussian


EnviKal-Loc: Sub-10m Indoor LoRaWAN Localization using an Environmental-Aware Path Loss and Adaptive RSSI Smoothing


Environment Design for Inverse Reinforcement Learning


Environment Inference for Invariant Learning


Environment Invariant Linear Least Squares


Environment Probing Interaction Policies


Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization


Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation


Environmental Dependence of Type Ia Supernovae in Low-Redshift Galaxy Clusters


Environmental Sensor Placement with Convolutional Gaussian Neural Processes


Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices


Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain


Environmental variability promotes the evolution of cooperation among geographically dispersed groups on dynamic networks


Envision3D: One Image to 3D with Anchor Views Interpolation


Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing


Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology


Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection


Envisioning the Next-Gen Document Reader


Envy-Free and Pareto-Optimal Allocations for Agents with Asymmetric Random Valuations


EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation


Enzyme promiscuity prediction using hierarchy-informed multi-label classification


Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation


Ephemerality meets LiDAR-based Lifelong Mapping


EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion


EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting


EpiK-Eval: Evaluation for Language Models as Epistemic Models


EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism


Epic-Sounds: A Large-scale Dataset of Actions That Sound


Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration


Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics


Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions


Epicyclic oscillations in spinning particle motion around Kerr black hole applied in models fitting the quasi-periodic oscillations observed in quasars and microquasars


Epidemic Arrival Times; Theory, Discussion, and Limitations


Epidemic Modeling with Generative Agents


Epidemic Thresholds of Infectious Diseases on Tie-Decay Networks


Epidemic Transmission Modeling with Fractional Derivatives and Environmental Pathogens


Epidemic changepoint detection in the presence of nuisance changes


Epidemic extinction in networks: Insights from the 12,110 smallest graphs


Epidemic modelling of multiple virus strains: a case study of SARS-CoV-2 B.1.1.7 in Moscow


Epidemic spreading in group-structured populations


Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak


Epidemiological dynamics in populations structured by neighbourhoods and households


Epidemiologically and Socio-economically Optimal Policies via Bayesian Optimization


Epigenetic evolution of deep convolutional models


Epileptic Seizure Classification with Symmetric and Hybrid Bilinear Models


EpipolarNVS: leveraging on Epipolar geometry for single-image Novel View Synthesis


Episode Adaptive Embedding Networks for Few-shot Learning


Episode-based Prototype Generating Network for Zero-Shot Learning


Episode-specific Fine-tuning for Metric-based Few-shot Learners with Optimization-based Training


Episodic Memories Generation and Evaluation Benchmark for Large Language Models


Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data


Episodic Multi-Task Learning with Heterogeneous Neural Processes


Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward


Episodic Self-Imitation Learning with Hindsight


Episodic Training for Domain Generalization


Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification


Epistemic Integrity in Large Language Models


Epistemic Modeling Uncertainty of Rapid Neural Network Ensembles for Adaptive Learning


Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy


Epistemic Phase Transitions in Mathematical Proofs


Epistemic Uncertainty Quantification in Deep Learning Classification by the Delta Method


Epistemic Uncertainty in Conformal Scores: A Unified Approach


Epistemic integration and social segregation of AI in neuroscience


Epona: Autoregressive Diffusion World Model for Autonomous Driving


Epsilon-Lexicase Selection for Regression


EqCo: Equivalent Rules for Self-supervised Contrastive Learning


EqGNN: Equalized Node Opportunity in Graphs


EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning


EqVIO: An Equivariant Filter for Visual Inertial Odometry


Equal Bits: Enforcing Equally Distributed Binary Network Weights


Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems


Equal Improvability: A New Fairness Notion Considering the Long-term Impact


Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness


Equality Constrained Linear Optimal Control With Factor Graphs


Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models


Equalization Loss for Long-Tailed Object Recognition


Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection


Equalized Focal Loss for Dense Long-Tailed Object Detection


Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques


Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels


Equation discovery framework EPDE: Towards a better equation discovery


Equation of state of hard-disk fluids under single-file confinement


Equation-of-motion internally contracted multireference unitary coupled-cluster theory


Equations in three singular moduli: the equal exponent case


Equations of State, Thermodynamics, and Miscibility Curves for Jovian Planet and Giant Exoplanet Evolutionary Models


Equations of genus $4$ curves from their theta constants


Equatorial deformation of homogeneous spherical fluid vesicles by a rigid ring


Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration


Equi-affine minimal-degree moving frames for polynomial curves


EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning


EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction


EquiBoost: An Equivariant Boosting Approach to Molecular Conformation Generation


EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions


EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks


EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks


EquiMod: An Equivariance Module to Improve Self-Supervised Learning


EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations


EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction


Equiangular lines in Euclidean spaces: dimensions 17 and 18


Equiangular lines in low dimensional Euclidean spaces


Equilibration Analysis and Control of Coordinating Decision-Making Populations


Equilibria and Group Welfare in Vote Trading Systems


Equilibrium Finding in Normal-Form Games Via Greedy Regret Minimization


Equilibrium Model with Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging


Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice


Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines


Equilibrium transport with time-inconsistent costs


Equilibrium: Optimization of Ceph Cluster Storage by Size-Aware Shard Balancing


Equimetrics -- Applying HAR principles to equestrian activities


Equine Pain Behavior Classification via Self-Supervised Disentangled Pose Representation


Equinox: neural networks in JAX via callable PyTrees and filtered transformations


Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offs


Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement


Equipping Federated Graph Neural Networks with Structure-aware Group Fairness


Equitable Data-Driven Facility Location and Resource Allocation to Fight the Opioid Epidemic