Duo Streamers: A Streaming Gesture Recognition Framework


Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation


DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads


DuoCast: Duo-Probabilistic Meteorology-Aware Model for Extended Precipitation Nowcasting


DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting


DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach


DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling


DuoGuard: A Two-Player RL-Driven Framework for Multilingual LLM Guardrails


DuoRAT: Towards Simpler Text-to-SQL Models


DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension


DuoSearch: A Novel Search Engine for Bulgarian Historical Documents


Duodepth: Static Gesture Recognition Via Dual Depth Sensors


Duoduo CLIP: Efficient 3D Understanding with Multi-View Images


Duplex Contextual Relation Network for Polyp Segmentation


Duplex Sequence-to-Sequence Learning for Reversible Machine Translation


Duplicate Bug Report Detection: How Far Are We?


DurFlex-EVC: Duration-Flexible Emotional Voice Conversion Leveraging Discrete Representations without Text Alignment


Dust Drift Timescales in Protoplanetary Disks at the Cusp of Gravitational Instability


Dust charge distribution in the interstellar medium


DustNet: skillful neural network predictions of Saharan dust


DustPy: A Python Package for Dust Evolution in Protoplanetary Disks


Dusty, Self-obscured Transients from Stellar Coalescence


DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation


Duwak: Dual Watermarks in Large Language Models


Dwarf AGNs from Variability for the Origins of Seeds (DAVOS): Optical Variability of Broad-line Dwarf AGNs from the Zwicky Transient Facility


Dwarf galaxies imply dark matter is heavier than $\mathbf{2.2 \times 10^{-21}} \, \mathbf{eV}$


Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval


Dwork Motives, Monodromy and Potential Automorphy


DxFormer: A Decoupled Automatic Diagnostic System Based on Decoder-Encoder Transformer with Dense Symptom Representations


DxHash: A Scalable Consistent Hash Based on the Pseudo-Random Sequence


DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling


DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster Structure


DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models


DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion


DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems


DyFADet: Dynamic Feature Aggregation for Temporal Action Detection


DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding


DyFraNet: Forecasting and Backcasting Dynamic Fracture Mechanics in Space and Time Using a 2D-to-3D Deep Neural Network


DyG2Vec: Efficient Representation Learning for Dynamic Graphs


DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes


DyGKT: Dynamic Graph Learning for Knowledge Tracing


DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking


DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling


DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs


DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs


DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling


DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks


DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control


DyPy: A Python Library for Simulating Matrix-Form Games


DyPyBench: A Benchmark of Executable Python Software


DyREx: Dynamic Query Representation for Extractive Question Answering


DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data


DySMHO: Data-Driven Discovery of Governing Equations for Dynamical Systems via Moving Horizon Optimization


DyStyle: Dynamic Neural Network for Multi-Attribute-Conditioned Style Editing


DyTed: Disentangled Representation Learning for Discrete-time Dynamic Graph


DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion


DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities


Dyadic Factorization and Efficient Inversion of Sparse Positive Definite Matrices


Dyadic Interaction Modeling for Social Behavior Generation


Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning Data


DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors


Dying Clusters Is All You Need -- Deep Clustering With an Unknown Number of Clusters


DynASP2.5: Dynamic Programming on Tree Decompositions in Action


DynCIM: Dynamic Curriculum for Imbalanced Multimodal Learning


DynE: Dynamic Ensemble Decoding for Multi-Document Summarization


DynED: Dynamic Ensemble Diversification in Data Stream Classification


DynEx: Dynamic Code Synthesis with Structured Design Exploration for Accelerated Exploratory Programming


DynFrs: An Efficient Framework for Machine Unlearning in Random Forest


DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs


DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets


DynGMA: a robust approach for learning stochastic differential equations from data


DynHAC: Fully Dynamic Approximate Hierarchical Agglomerative Clustering


DynIBaR: Neural Dynamic Image-Based Rendering


DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism


DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data


DynaConF: Dynamic Forecasting of Non-Stationary Time Series


DynaEval: Unifying Turn and Dialogue Level Evaluation


DynaGAN: Dynamic Few-shot Adaptation of GANs to Multiple Domains


DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images


DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators


DynaMask: Dynamic Mask Selection for Instance Segmentation


DynaMem: Online Dynamic Spatio-Semantic Memory for Open World Mobile Manipulation


DynaMixer: A Vision MLP Architecture with Dynamic Mixing


DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity


DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields


DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation


DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity


DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion


DynaSurfGS: Dynamic Surface Reconstruction with Planar-based Gaussian Splatting


DynaVINS: A Visual-Inertial SLAM for Dynamic Environments


Dynablox: Real-time Detection of Diverse Dynamic Objects in Complex Environments


Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI


Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction


Dynam3D: Dynamic Layered 3D Tokens Empower VLM for Vision-and-Language Navigation


DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors


Dynamic $β$-VAEs for quantifying biodiversity by clustering optically recorded insect signals


Dynamic 2D Gaussians: Geometrically accurate radiance fields for dynamic objects


Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis


Dynamic 3D KAN Convolution with Adaptive Grid Optimization for Hyperspectral Image Classification


Dynamic 3D Point Cloud Sequences as 2D Videos


Dynamic 3D Scene Analysis by Point Cloud Accumulation


Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis


Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval


Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling


Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition


Dynamic Addition of Noise in a Diffusion Model for Anomaly Detection


Dynamic Adversarial Attacks on Autonomous Driving Systems


Dynamic Against Dynamic: An Open-set Self-learning Framework


Dynamic Algorithms for Online Multiple Testing


Dynamic Anchor Learning for Arbitrary-Oriented Object Detection


Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph


Dynamic Asset Pricing: Integrating FinBERT-Based Sentiment Quantification with the Fama--French Five-Factor Model


Dynamic Assortment Selection and Pricing with Censored Preference Feedback


Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models


Dynamic Attentive Graph Learning for Image Restoration


Dynamic Automatic Differentiation of GPU Broadcast Kernels


Dynamic Background Subtraction by Generative Neural Networks


Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance


Dynamic Bayesian Learning for Spatiotemporal Mechanistic Models


Dynamic Bayesian Multitaper Spectral Analysis


Dynamic Behavior of Origami Structures: Computational and Experimental Study


Dynamic Bernoulli Embeddings for Language Evolution


Dynamic Bi-Elman Attention Networks: A Dual-Directional Context-Aware Test-Time Learning for Text Classification


Dynamic Binary Translation for SGX Enclaves


Dynamic Bottleneck for Robust Self-Supervised Exploration


Dynamic Brightness Adaptation for Robust Multi-modal Image Fusion


Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations


Dynamic Cat Swarm Optimization Algorithm for Backboard Wiring Problem


Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework


Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly


Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting


Dynamic Causal Graph Convolutional Network for Traffic Prediction


Dynamic Causal Structure Discovery and Causal Effect Estimation


Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory


Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models


Dynamic Class Queue for Large Scale Face Recognition In the Wild


Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection


Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems


Dynamic Collective Intelligence Learning: Finding Efficient Sparse Model via Refined Gradients for Pruned Weights


Dynamic Complementarity Conditions and Whole-Body Trajectory Optimization for Humanoid Robot Locomotion


Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion Prediction


Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations


Dynamic Conceptional Contrastive Learning for Generalized Category Discovery


Dynamic Conditional Optimal Transport through Simulation-Free Flows


Dynamic Context-guided Capsule Network for Multimodal Machine Translation


Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration


Dynamic Contrastive Learning for Time Series Representation


Dynamic Control Barrier Function-based Model Predictive Control to Safety-Critical Obstacle-Avoidance of Mobile Robot


Dynamic Control of a Fiber Manufacturing Process using Deep Reinforcement Learning


Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference


Dynamic Correlation Clustering in Sublinear Update Time


Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration


Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification


Dynamic Curriculum Learning for Great Ape Detection in the Wild


Dynamic Curvature Constrained Path Planning


Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation


Dynamic Data Augmentation with Gating Networks for Time Series Recognition


Dynamic Data Layout Optimization with Worst-case Guarantees


Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts


Dynamic Data Selection and Weighting for Iterative Back-Translation


Dynamic Data Selection for Neural Machine Translation


Dynamic Data-Free Knowledge Distillation by Easy-to-Hard Learning Strategy


Dynamic Decision Frequency with Continuous Options


Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes


Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning


Dynamic Deep Multi-task Learning for Caricature-Visual Face Recognition


Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning


Dynamic Demand-Aware Link Scheduling for Reconfigurable Datacenters


Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation


Dynamic Demonstrations Controller for In-Context Learning


Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics


Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions


Dynamic Distinction Learning: Adaptive Pseudo Anomalies for Video Anomaly Detection


Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation


Dynamic Domain Adaptation for Efficient Inference


Dynamic Domains, Dynamic Solutions: DPCore for Continual Test-Time Adaptation


Dynamic DropConnect: Enhancing Neural Network Robustness through Adaptive Edge Dropping Strategies


Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks


Dynamic Efficient Adversarial Training Guided by Gradient Magnitude


Dynamic Embeddings for Interaction Prediction


Dynamic Emotion Modeling with Learnable Graphs and Graph Inception Network


Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"


Dynamic Entity-Masked Graph Diffusion Model for histopathological image Representation Learning


Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection


Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Model


Dynamic Evaluation of Neural Sequence Models


Dynamic Evidence Decoupling for Trusted Multi-view Learning


Dynamic Factor Model-Based Multiperiod Mean-Variance Portfolio Selection with Portfolio Constraints


Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection


Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification


Dynamic Fee for Reducing Impermanent Loss in Decentralized Exchanges


Dynamic Flex-and-Flip Manipulation of Deformable Linear Objects


Dynamic Frame Interpolation in Wavelet Domain


Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting


Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms


Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data


Dynamic GPU Energy Optimization for Machine Learning Training Workloads


Dynamic Gap: Safe Gap-based Navigation in Dynamic Environments


Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos


Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series


Dynamic Global Memory for Document-level Argument Extraction


Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks


Dynamic Gradient Sparsification Training for Few-Shot Fine-tuning of CT Lymph Node Segmentation Foundation Model


Dynamic Grained Encoder for Vision Transformers


Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction


Dynamic Graph Convolutional Networks Using the Tensor M-Product


Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution


Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation


Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction


Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling


Dynamic Graph Metrics: Tutorial, Toolbox, and Tale


Dynamic Graph Neural Networks for Sequential Recommendation


Dynamic Graph Representation for Partially Occluded Biometrics


Dynamic Graph Representation with Contrastive Learning for Financial Market Prediction: Integrating Temporal Evolution and Static Relations


Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis


Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding


Dynamic Grid Trading Strategy: From Zero Expectation to Market Outperformance


Dynamic Group Convolution for Accelerating Convolutional Neural Networks


Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge


Dynamic Head: Unifying Object Detection Heads with Attentions


Dynamic Healthcare Embeddings for Improving Patient Care


Dynamic Hierarchical Dirichlet Process for Abnormal Behaviour Detection in Video


Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives


Dynamic Hologram Generation with Automatic Differentiation


Dynamic HumTrans: Humming Transcription Using CNNs and Dynamic Programming


Dynamic Human Evaluation for Relative Model Comparisons


Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing


Dynamic Image for 3D MRI Image Alzheimer's Disease Classification


Dynamic Implicit Image Function for Efficient Arbitrary-Scale Image Representation


Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis


Dynamic In-context Learning with Conversational Models for Data Extraction and Materials Property Prediction


Dynamic Incentive Selection for Hierarchical Convex Model Predictive Control


Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors


Dynamic Information Transfer in Stochastic Biochemical Networks


Dynamic Initialization for LiDAR-inertial SLAM


Dynamic Interpretability for Model Comparison via Decision Rules


Dynamic Interventions for Networked Contagions


Dynamic Kernel Matching for Non-conforming Data: A Case Study of T-cell Receptor Datasets


Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning


Dynamic Key-value Memory Enhanced Multi-step Graph Reasoning for Knowledge-based Visual Question Answering


Dynamic Knowledge Distillation for Pre-trained Language Models


Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs


Dynamic Label Injection for Imbalanced Industrial Defect Segmentation


Dynamic Language Group-Based MoE: Enhancing Code-Switching Speech Recognition with Hierarchical Routing


Dynamic Linear Transformer for 3D Biomedical Image Segmentation


Dynamic Link Network Emulation: a Model-based Design


Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection


Dynamic Local Feature Aggregation for Learning on Point Clouds


Dynamic Local Regret for Non-convex Online Forecasting


Dynamic Local Structure in Caesium Lead Iodide: Spatial Correlation and Transient Domains


Dynamic Logistic Ensembles with Recursive Probability and Automatic Subset Splitting for Enhanced Binary Classification


Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks


Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression


Dynamic Low-Rank Sparse Adaptation for Large Language Models


Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information


Dynamic Markov Blanket Detection for Macroscopic Physics Discovery


Dynamic Matrix Factorization with Priors on Unknown Values


Dynamic Measurement Scheduling for Event Forecasting using Deep RL


Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales


Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models


Dynamic Mobile-Former: Strengthening Dynamic Convolution with Attention and Residual Connection in Kernel Space


Dynamic Mode Decomposition based feature for Image Classification


Dynamic Model Tree for Interpretable Data Stream Learning


Dynamic Modeling and Control of a Two-Reactor Metal Hydride Energy Storage System


Dynamic Modeling of Sparse Longitudinal Data and Functional Snippets With Stochastic Differential Equations


Dynamic Modeling of User Preferences for Stable Recommendations


Dynamic Modeling, Stability, and Control of Power Systems with Distributed Energy Resources


Dynamic Multi-Branch Layers for On-Device Neural Machine Translation


Dynamic Multi-Context Segmentation of Remote Sensing Images based on Convolutional Networks


Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints


Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis


Dynamic Multi-Task Learning for Face Recognition with Facial Expression


Dynamic Multi-objective Ensemble of Acquisition Functions in Batch Bayesian Optimization


Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation


Dynamic Multimodal Information Bottleneck for Multimodality Classification


Dynamic Natural Language Processing with Recurrence Quantification Analysis


Dynamic Negative Guidance of Diffusion Models


Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces


Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling


Dynamic Network Quantile Regression Model


Dynamic Network Reconfiguration for Entropy Maximization using Deep Reinforcement Learning


Dynamic Networks with Multi-scale Temporal Structure


Dynamic Neural Curiosity Enhances Learning Flexibility for Autonomous Goal Discovery


Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series


Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks


Dynamic Neural Program Embedding for Program Repair


Dynamic Normativity: Necessary and Sufficient Conditions for Value Alignment


Dynamic Object Detection in Range data using Spatiotemporal Normals


Dynamic Object Tracking and Masking for Visual SLAM


Dynamic Objective MPC for Motion Planning of Seamless Docking Maneuvers


Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement Learning


Dynamic Online Ensembles of Basis Expansions


Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)


Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation


Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search


Dynamic Past and Future for Neural Machine Translation


Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing


Dynamic Perceiver for Efficient Visual Recognition


Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information


Dynamic Plane Convolutional Occupancy Networks


Dynamic Planning for LLM-based Graphical User Interface Automation


Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration


Dynamic Pricing in the Linear Valuation Model using Shape Constraints


Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation


Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs


Dynamic Programming on a Quantum Annealer: Solving the RBC Model


Dynamic Prompt Allocation and Tuning for Continual Test-Time Adaptation


Dynamic Prompt Optimizing for Text-to-Image Generation


Dynamic Prompting: A Unified Framework for Prompt Tuning


Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation


Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation


Dynamic Ranking and Translation Synchronization


Dynamic Ranking with the BTL Model: A Nearest Neighbor based Rank Centrality Method


Dynamic Real-time Multimodal Routing with Hierarchical Hybrid Planning


Dynamic Rectification Knowledge Distillation


Dynamic Refinement Network for Oriented and Densely Packed Object Detection


Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning


Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection


Dynamic Relevance Graph Network for Knowledge-Aware Question Answering


Dynamic Relevance Learning for Few-Shot Object Detection


Dynamic Residual Classifier for Class Incremental Learning


Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection


Dynamic Reward Adjustment in Multi-Reward Reinforcement Learning for Counselor Reflection Generation


Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models


Dynamic Risk Assessments for Offensive Cybersecurity Agents


Dynamic Scale Training for Object Detection


Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks


Dynamic Self-adaptive Multiscale Distillation from Pre-trained Multimodal Large Model for Efficient Cross-modal Representation Learning


Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering


Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection


Dynamic Service Provisioning in the Edge-cloud Continuum with Provable Guarantees


Dynamic Shimming in the Cervical Spinal Cord for Multi-Echo Gradient-Echo Imaging at 3 T


Dynamic Similarity Search on Integer Sketches


Dynamic Simplex: Balancing Safety and Performance in Autonomous Cyber Physical Systems


Dynamic Size Counting in the Population Protocol Model


Dynamic Skyline Queries on Encrypted Data Using Result Materialization


Dynamic Sparse Network for Time Series Classification: Learning What to "see''


Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs


Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers


Dynamic Spatial-Temporal Aggregation for Skeleton-Aware Sign Language Recognition


Dynamic Spectral Clustering with Provable Approximation Guarantee


Dynamic Spectral fluorescence microscopy via Event-based & CMOS image-sensor fusion


Dynamic Structure Learning through Graph Neural Network for Forecasting Soil Moisture in Precision Agriculture


Dynamic Structure Pruning for Compressing CNNs


Dynamic Structured Illumination Microscopy with a Neural Space-time Model


Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification


Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning


Dynamic Subgoal-based Exploration via Bayesian Optimization


Dynamic Surface Function Networks for Clothed Human Bodies


Dynamic Survival Analysis for non-Markovian Epidemic Models


Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal Imagery


Dynamic Temperature Knowledge Distillation


Dynamic Temporal Alignment of Speech to Lips


Dynamic Temporal Filtering in Video Models


Dynamic Term Structure Models for SOFR Futures


Dynamic Test-Time Augmentation via Differentiable Functions


Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram Spaces


Dynamic Time Warping as a New Evaluation for Dst Forecast with Machine Learning


Dynamic Time Warping based Adversarial Framework for Time-Series Domain


Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding


Dynamic Token Normalization Improves Vision Transformers


Dynamic Traffic Assignment for Electric Vehicles


Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics


Dynamic Transfer for Multi-Source Domain Adaptation


Dynamic Transformers Provide a False Sense of Efficiency


Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation


Dynamic Type Inference for Gradual Hindley--Milner Typing


Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation


Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting


Dynamic Updates for Language Adaptation in Visual-Language Tracking


Dynamic Updating of Clinical Survival Prediction Models in a Rapidly Changing Environment


Dynamic VAEs with Generative Replay for Continual Zero-shot Learning


Dynamic Variational Autoencoders for Visual Process Modeling


Dynamic View Synthesis from Dynamic Monocular Video


Dynamic Virtual Graph Significance Networks for Predicting Influenza


Dynamic Vision Sensors for Human Activity Recognition


Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization


Dynamic Vulnerability Detection on Smart Contracts Using Machine Learning


Dynamic Weighted Combiner for Mixed-Modal Image Retrieval


Dynamic allocation of limited memory resources in reinforcement learning


Dynamic and Application-Aware Provisioning of Chained Virtual Security Network Functions


Dynamic and Rapid Deep Synthesis of Molecular MRI Signals


Dynamic communication topologies for distributed heuristics in energy system optimization algorithms


Dynamic cyber risk estimation with Competitive Quantile Autoregression


Dynamic data fusion using multi-input models for malware classification


Dynamic estimation with random forests for discrete-time survival data


Dynamic fibronectin assembly and remodeling by leader neural crest cells prevents jamming in collective cell migration


Dynamic financial processes identification using sparse regressive reservoir computers


Dynamic guessing for Hamiltonian Monte Carlo with embedded numerical root-finding


Dynamic hashtag recommendation in social media with trend shift detection and adaptation


Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation


Dynamic injection of a compressible gas into a confined porous layer


Dynamic landslide susceptibility mapping over recent three decades to uncover variations in landslide causes in subtropical urban mountainous areas


Dynamic layer selection in decoder-only transformers


Dynamic learning of synchronization in coupled nonlinear systems


Dynamic metastability in the self-attention model


Dynamic mode decomposition for compressive system identification


Dynamic mode decomposition of noisy flow data


Dynamic modeling of mortality via mixtures of skewed distribution functions


Dynamic multi-object Gaussian process models: A framework for data-driven functional modelling of human joints


Dynamic prediction of death risk given a renewal hospitalization process


Dynamic read mapping and online consensus calling for better variant detection


Dynamic spectral co-clustering of directed networks to unveil latent community paths in VAR-type models


Dynamic survival analysis: modelling the hazard function via ordinary differential equations


Dynamic time series clustering via volatility change-points


Dynamic zoom-in detection of exfoliated two-dimensional crystals using deep reinforcement learning


Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification


Dynamic-Net: Tuning the Objective Without Re-training for Synthesis Tasks


Dynamic-Programming-Based Failure-Tolerant Control for Satellite with Thrusters in 6-DOF Motion


Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM


DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation


DynamicDet: A Unified Dynamic Architecture for Object Detection


DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG


DynamicFL: Federated Learning with Dynamic Communication Resource Allocation


DynamicGSG: Dynamic 3D Gaussian Scene Graphs for Environment Adaptation


DynamicLight: Two-Stage Dynamic Traffic Signal Timing


DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models


DynamicStereo: Consistent Dynamic Depth from Stereo Videos


DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding


Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models


Dynamical Embedding of Single Channel Electroencephalogram for Artifact Subspace Reconstruction


Dynamical Hyperspectral Unmixing with Variational Recurrent Neural Networks


Dynamical Instability of Collapsed Dark Matter Halos


Dynamical Mean-Field Theory of Self-Attention Neural Networks


Dynamical Mechanism of Sampling-based Stochastic Inference under Probabilistic Population Codes


Dynamical Methods for Target Control of Biological Networks


Dynamical Modularity in Automata Models of Biochemical Networks


Dynamical Optimal Transport on Discrete Surfaces


Dynamical Phase Transitions in Graph Cellular Automata


Dynamical Survival Analysis with Controlled Latent States


Dynamical System Approach for Optimal Control Problems with Equilibrium Constraints Using Gap-Constraint-Based Reformulation


Dynamical Systems of Correspondences on the Projective Line II: Degrees of Multiplier Maps


Dynamical Tidal Response of Kerr Black Holes from Scattering Amplitudes


Dynamical Variational Autoencoders: A Comprehensive Review


Dynamical Wasserstein Barycenters for Time-series Modeling


Dynamical decoupling for superconducting qubits: a performance survey


Dynamical effects in the observed rate of change of the orbital and the spin periods of radio pulsars: Improvement in the method of estimation and its implications


Dynamical evolution of social network polarization and its impact on the propagation of a virus


Dynamical heterogeneities as fingerprints of a backbone structure in Potts models


Dynamical importance and network perturbations


Dynamical instabilities in systems of multiple short-period planets are likely driven by secular chaos: a case study of Kepler-102


Dynamical low-rank approximation for Burgers' equation with uncertainty


Dynamical magnetic fields in heavy-ion collisions


Dynamical masses across the Hertzsprung-Russell diagram


Dynamical mean-field theory of the Anderson-Hubbard model with local and non-local disorder in tensor formulation


Dynamical nonlinear tails in Schwarzschild black hole ringdown


Dynamical parton distributions from DGLAP equations with nonlinear corrections


Dynamical persistence in resource-consumer models


Dynamical phase-field model of cavity electromagnonic systems


Dynamical process of a bit-width reduced Ising model with simulated annealing


Dynamical quantum phase transition and thermal equilibrium in the lattice Thirring model


Dynamical scalarization in Schwarzschild binary inspirals


Dynamical stability and chaos in artificial neural network trajectories along training


Dynamical streams in the local stellar halo


Dynamical subset sampling of quantum error correcting protocols


Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems


Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint


Dynamical systems applied to cosmology: dark energy and modified gravity


Dynamical systems' based neural networks


Dynamical tidal response of non-rotating relativistic stars


Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel


Dynamically Anchored Prompting for Task-Imbalanced Continual Learning


Dynamically Expandable Graph Convolution for Streaming Recommendation


Dynamically Extracting Outcome-Specific Problem Lists from Clinical Notes with Guided Multi-Headed Attention


Dynamically Fused Graph Network for Multi-hop Reasoning


Dynamically Learning to Integrate in Recurrent Neural Networks


Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection


Dynamically Modelling Heterogeneous Higher-Order Interactions for Malicious Behavior Detection in Event Logs


Dynamically Modular and Sparse General Continual Learning


Dynamically Optimal Treatment Allocation


Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning


Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection


Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence


Dynamically Scaled Temperature in Self-Supervised Contrastive Learning


Dynamically Stable Infinite-Width Limits of Neural Classifiers


Dynamically groomed jet radius in heavy-ion collisions


Dynamically handling task disruptions by composing together behavior modules


Dynamically relevant recurrent flows obtained via a nonlinear recurrence function from two-dimensional turbulence


Dynamically-Scaled Deep Canonical Correlation Analysis


Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies


Dynamics and Control of Oscillatory Bioreactors


Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion


Dynamics and Origins of the Near-Resonant Kepler Planets


Dynamics and Sensitivity of Signaling Pathways


Dynamics and Stability of an Optically Levitated Mirror


Dynamics in a stellar convective layer and at its boundary: Comparison of five 3D hydrodynamics codes


Dynamics of B-cell repertoires and emergence of cross-reactive responses in COVID-19 patients with different disease severity


Dynamics of Correlations and Entanglement Generation in Electron-Molecule Inelastic Scattering


Dynamics of ERK regulation in the processive limit


Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks


Dynamics of Force Dipoles in Curved Biological Membranes


Dynamics of Instruction Tuning: Each Ability of Large Language Models Has Its Own Growth Pace


Dynamics of Local Elasticity During Training of Neural Nets


Dynamics of Moral Behavior in Heterogeneous Populations of Learning Agents


Dynamics of N-spot rings with oscillatory tails in a three-component reaction-diffusion system


Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution


Dynamics of Vesicles Driven Into Closed Constrictions by Molecular Motors


Dynamics of Wound Closure in Living Nematic Epithelia


Dynamics of a Tuberculosis Outbreak Model in a Multi-scale Environment


Dynamics of a linearly-perturbed May-Leonard competition model


Dynamics of an LPAA model for Tribolium Growth: Insights into Population Chaos


Dynamics of cell-type transition mediated by epigenetic modifications


Dynamics of niche construction in adaptable populations evolving in diverse environments


Dynamics of node influence in network growth models


Dynamics of quantum turbulence in axially rotating thermal counterflow


Dynamics of small grains in transitional discs


Dynamics of small, constant size particles in a protoplanetary disk with an embedded protoplanet


Dynamics of specialization in neural modules under resource constraints


Dynamics of stellar systems with collisions: eigenvalues and eigenfunctions in nearly collisionless limit


Dynamics-Aware Loss for Learning with Label Noise


Dynamics-Based Entanglement Witnesses for Non-Gaussian States of Harmonic Oscillators


Dynamics-Invariant Quadrotor Control using Scale-Aware Deep Reinforcement Learning


Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation


Dynamics-based machine learning of transitions in Couette flow


Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series


Dynamik: Syntactically-Driven Dynamic Font Sizing for Emphasis of Key Information


DynamoRep: Trajectory-Based Population Dynamics for Classification of Black-box Optimization Problems


Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks


Dynatomic Galois groups for a family of quadratic rational maps


DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction


Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation


Dyport: Dynamic Importance-based Hypothesis Generation Benchmarking Technique


Dysarthria Normalization via Local Lie Group Transformations for Robust ASR


Dysfluent WFST: A Framework for Zero-Shot Speech Dysfluency Transcription and Detection


DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments


Dyve: Thinking Fast and Slow for Dynamic Process Verification


DziriBERT: a Pre-trained Language Model for the Algerian Dialect


Dzyaloshinskii-Moriya-type spin-spin interaction from mixed-parity superconductivity


Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse


E Pluribus Unum Interpretable Convolutional Neural Networks


E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems


E$^2$CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning


E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification


E(n) Equivariant Topological Neural Networks


E(n)-Equivariant Cartesian Tensor Passing Potential


E(n)-equivariant Graph Neural Cellular Automata


E-3DGS: Gaussian Splatting with Exposure and Motion Events


E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing


E-ABIN: an Explainable module for Anomaly detection in BIological Networks


E-CGL: An Efficient Continual Graph Learner


E-CIR: Event-Enhanced Continuous Intensity Recovery


E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation


E-Calib: A Fast, Robust and Accurate Calibration Toolbox for Event Cameras


E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models


E-Gen: Leveraging E-Graphs to Improve Continuous Representations of Symbolic Expressions


E-InMeMo: Enhanced Prompting for Visual In-Context Learning


E-LPIPS: Robust Perceptual Image Similarity via Random Transformation Ensembles


E-MLB: Multilevel Benchmark for Event-Based Camera Denoising


E-Motion: Future Motion Simulation via Event Sequence Diffusion


E-NER -- An Annotated Named Entity Recognition Corpus of Legal Text


E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition


E-NeRF: Neural Radiance Fields from a Moving Event Camera


E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context


E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks


E-QGen: Educational Lecture Abstract-based Question Generation System


E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning


E-RAFT: Dense Optical Flow from Event Cameras


E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks


E-SQL: Direct Schema Linking via Question Enrichment in Text-to-SQL


E-Sports Talent Scouting Based on Multimodal Twitch Stream Data


E-VFIA : Event-Based Video Frame Interpolation with Attention


E-Values Expand the Scope of Conformal Prediction


E-Vote Your Conscience: Perceptions of Coercion and Vote Buying, and the Usability of Fake Credentials in Online Voting


E-detectors: a nonparametric framework for sequential change detection


E-swish: Adjusting Activations to Different Network Depths


E-values as unnormalized weights in multiple testing


E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding


E.T. the Exceptional Trajectories: Text-to-camera-trajectory generation with character awareness


E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 Challenge


E2 TTS: Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS


E2E-FS: An End-to-End Feature Selection Method for Neural Networks


E2E-LOAD: End-to-End Long-form Online Action Detection


E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection


E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation


E2EG: End-to-End Node Classification Using Graph Topology and Text-based Node Attributes


E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation


E2ETag: An End-to-End Trainable Method for Generating and Detecting Fiducial Markers


E2F-Net: Eyes-to-Face Inpainting via StyleGAN Latent Space


E2FIF: Push the limit of Binarized Deep Imagery Super-resolution using End-to-end Full-precision Information Flow


E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification


E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning


E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models


E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network


E2PN: Efficient SE(3)-Equivariant Point Network


E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning


E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation


E2TIMT: Efficient and Effective Modal Adapter for Text Image Machine Translation


E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction


E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series


E2Vec: Feature Embedding with Temporal Information for Analyzing Student Actions in E-Book Systems


E3-targetPred: Prediction of E3-Target Proteins Using Deep Latent Space Encoding


E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data


E3: Entailment-driven Extracting and Editing for Conversational Machine Reading


E3D: Event-Based 3D Shape Reconstruction


E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks with Emerging Neural Encoding on FPGAs


E3x: $\mathrm{E}(3)$-Equivariant Deep Learning Made Easy


E5-V: Universal Embeddings with Multimodal Large Language Models


EA-3DGS: Efficient and Adaptive 3D Gaussians with Highly Enhanced Quality for outdoor scenes


EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection


EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning


EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines


EACELEB: An East Asian Language Speaking Celebrity Dataset for Speaker Recognition


EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning


EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs


EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration


EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL


EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs


EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration


EAGLE-like simulation models do not solve the entropy core problem in groups and clusters of galaxies


EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction


EAGLE: Contextual Point Cloud Generation via Adaptive Continuous Normalizing Flow with Self-Attention


EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation


EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS


EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants


EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval


EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery


EAMamba: Efficient All-Around Vision State Space Model for Image Restoration


EAR: Erasing Concepts from Unified Autoregressive Models


EARL: An Elliptical Distribution aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images


EARL: Joint Entity and Relation Linking for Question Answering over Knowledge Graphs


EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation


EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks


EASE: Entity-Aware Contrastive Learning of Sentence Embedding


EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching


EASSE-DE: Easier Automatic Sentence Simplification Evaluation for German


EASSE: Easier Automatic Sentence Simplification Evaluation


EAST: Environment Aware Safe Tracking using Planning and Control Co-Design


EASpace: Enhanced Action Space for Policy Transfer


EASpy: Fast simulation of fluorescence and Cherenkov light from extended air showers at large zenith angles


EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search


EAT: Self-Supervised Pre-Training with Efficient Audio Transformer


EAT: Towards Long-Tailed Out-of-Distribution Detection


EATEN: Entity-aware Attention for Single Shot Visual Text Extraction


EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm


EBC-ZIP: Improving Blockwise Crowd Counting with Zero-Inflated Poisson Regression


EBES: Easy Benchmarking for Event Sequences


EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMs


EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia


EBJR: Energy-Based Joint Reasoning for Adaptive Inference


EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling


EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators


EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning


EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series


EBWeyl: a Code to Invariantly Characterize Numerical Spacetimes


EC-Conf: An Ultra-fast Diffusion Model for Molecular Conformation Generation with Equivariant Consistency


EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs


EC-Guide: A Comprehensive E-Commerce Guide for Instruction Tuning and Quantization


EC-KitY: Evolutionary Computation Tool Kit in Python with Seamless Machine Learning Integration


EC-SLAM: Effectively Constrained Neural RGB-D SLAM with Sparse TSDF Encoding and Global Bundle Adjustment


EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images


ECAFormer: Low-light Image Enhancement using Cross Attention


ECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting


ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training


ECAP: Extensive Cut-and-Paste Augmentation for Unsupervised Domain Adaptive Semantic Segmentation


ECBD: Evidence-Centered Benchmark Design for NLP


ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark


ECC-PolypDet: Enhanced CenterNet with Contrastive Learning for Automatic Polyp Detection


ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks


ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?


ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks


ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluation


ECG Heartbeat Classification Using Multimodal Fusion


ECG Segmentation by Neural Networks: Errors and Correction


ECG Semantic Integrator (ESI): A Foundation ECG Model Pretrained with LLM-Enhanced Cardiological Text


ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks


ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods


ECG-Byte: A Tokenizer for End-to-End Generative Electrocardiogram Language Modeling


ECG-Chat: A Large ECG-Language Model for Cardiac Disease Diagnosis


ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks


ECG-Expert-QA: A Benchmark for Evaluating Medical Large Language Models in Heart Disease Diagnosis


ECG-FM: An Open Electrocardiogram Foundation Model


ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram


ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network


ECG-based estimation of respiratory modulation of AV nodal conduction during atrial fibrillation


ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification


ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System


ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion


ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms


ECHO21: Exploring the Cosmos with Hydrogen Observation


ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge


ECHo: A Visio-Linguistic Dataset for Event Causality Inference via Human-Centric Reasoning


ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos


ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification


ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation


ECLARE: Efficient cross-planar learning for anisotropic resolution enhancement


ECLARE: Extreme Classification with Label Graph Correlations


ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning


ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound


ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification


ECLYPSE: a Python Framework for Simulation and Emulation of the Cloud-Edge Continuum


ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification


ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction


ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation


ECO-CHIP: Estimation of Carbon Footprint of Chiplet-based Architectures for Sustainable VLSI


ECOL: Early Detection of COVID Lies Using Content, Prior Knowledge and Source Information


ECON: Explicit Clothed humans Optimized via Normal integration


ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning


ECOSoundSet: a finely annotated dataset for the automated acoustic identification of Orthoptera and Cicadidae in North, Central and temperate Western Europe


ECR-Chain: Advancing Generative Language Models to Better Emotion-Cause Reasoners through Reasoning Chains


ECRECer: Enzyme Commission Number Recommendation and Benchmarking based on Multiagent Dual-core Learning


ECSIC: Epipolar Cross Attention for Stereo Image Compression


ECT: Fine-grained Edge Detection with Learned Cause Tokens


ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoV


ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts


ECToNAS: Evolutionary Cross-Topology Neural Architecture Search


ECoPANN: A Framework for Estimating Cosmological Parameters using Artificial Neural Networks


ECoRAG: Evidentiality-guided Compression for Long Context RAG


ECoh: Turn-level Coherence Evaluation for Multilingual Dialogues


ECon: On the Detection and Resolution of Evidence Conflicts


ECtHR-PCR: A Dataset for Precedent Understanding and Prior Case Retrieval in the European Court of Human Rights


ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance


ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting


ED2: Environment Dynamics Decomposition World Models for Continuous Control


EDA Corpus: A Large Language Model Dataset for Enhanced Interaction with OpenROAD


EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models


EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators


EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction


EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding


EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation


EDAF: An End-to-End Delay Analytics Framework for 5G-and-Beyond Networks


EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation


EDBench: Large-Scale Electron Density Data for Molecular Modeling


EDBooks: AI-Enhanced Interactive Narratives for Programming Education


EDDA: A Encoder-Decoder Data Augmentation Framework for Zero-Shot Stance Detection


EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE


EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data


EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning


EDEN: Efficient Dual-Layer Exploration Planning for Fast UAV Autonomous Exploration in Large 3-D Environments


EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar


EDGAR: An Autonomous Driving Research Platform -- From Feature Development to Real-World Application


EDGE COVID-19: A Web Platform to generate submission-ready genomes for SARS-CoV-2 sequencing efforts


EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting


EDGE: Editable Dance Generation From Music


EDICT: Exact Diffusion Inversion via Coupled Transformations


EDIS: Entity-Driven Image Search over Multimodal Web Content


EDIT: Exemplar-Domain Aware Image-to-Image Translation


EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints


EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks


EDIpack: A parallel exact diagonalization package for quantum impurity problems


EDM3: Event Detection as Multi-task Text Generation


EDM: An Ultra-Low Latency Ethernet Fabric for Memory Disaggregation


EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning


EDNet: Edge-Optimized Small Target Detection in UAV Imagery -- Faster Context Attention, Better Feature Fusion, and Hardware Acceleration


EDOLAB: An Open-Source Platform for Education and Experimentation with Evolutionary Dynamic Optimization Algorithms


EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration


EDRIXS: An open source toolkit for simulating spectra of resonant inelastic x-ray scattering


EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression Recognition


EDTformer: An Efficient Decoder Transformer for Visual Place Recognition


EDU-level Extractive Summarization with Varying Summary Lengths


EDUKG: a Heterogeneous Sustainable K-12 Educational Knowledge Graph


EDeR: A Dataset for Exploring Dependency Relations Between Events


EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions


EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution


EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition


EE3P: Event-based Estimation of Periodic Phenomena Properties


EEC: Learning to Encode and Regenerate Images for Continual Learning


EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding


EEEA-Net: An Early Exit Evolutionary Neural Architecture Search


EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms


EEG-CLIP : Learning EEG representations from natural language descriptions


EEG-DBNet: A Dual-Branch Network for Temporal-Spectral Decoding in Motor-Imagery Brain-Computer Interfaces


EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification


EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting


EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces


EEG-ITNet: An Explainable Inception Temporal Convolutional Network for Motor Imagery Classification


EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels


EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations


EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces


EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network


EEG-based Decoding of Selective Visual Attention in Superimposed Videos


EEG2IMAGE: Image Reconstruction from EEG Brain Signals


EEG2Mel: Reconstructing Sound from Brain Responses to Music


EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs


EEG4Students: An Experimental Design for EEG Data Collection and Machine Learning Analysis


EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive Network


EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition


EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model


EEGsig: an open-source machine learning-based toolbox for EEG signal processing


EEL: Efficiently Encoding Lattices for Reranking


EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION


EELG1002: A Record-Breaking [OIII]+H$β$ EW $\sim 3700$Å~Galaxy at $z \sim 0.8$ -- Analog of Early Galaxies?


EENA: Efficient Evolution of Neural Architecture


EENLP: Cross-lingual Eastern European NLP Index


EEPPR: Event-based Estimation of Periodic Phenomena Rate using Correlation in 3D


EERAD3 version 2: QCD corrections in hadronic colour-singlet decays


EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based Decoding


EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing


EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization


EF-Calib: Spatiotemporal Calibration of Event- and Frame-Based Cameras Using Continuous-Time Trajectories


EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysis


EF/CF: High Performance Smart Contract Fuzzing for Exploit Generation


EFEAR-4D: Ego-Velocity Filtering for Efficient and Accurate 4D radar Odometry


EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation


EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network


EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python


EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse


EFLNet: Enhancing Feature Learning for Infrared Small Target Detection


EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models


EFSA: Towards Event-Level Financial Sentiment Analysis


EFSIS: Ensemble Feature Selection Integrating Stability


EFTofPNG: A package for high precision computation with the Effective Field Theory of Post-Newtonian Gravity


EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models


EG-Booster: Explanation-Guided Booster of ML Evasion Attacks


EG4D: Explicit Generation of 4D Object without Score Distillation


EGC2: Enhanced Graph Classification with Easy Graph Compression


EGC: Image Generation and Classification via a Diffusion Energy-Based Model


EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation


EGFE: End-to-end Grouping of Fragmented Elements in UI Designs with Multimodal Learning


EGGTART: A computational tool to visualize the dynamics of biophysical transport processes under the inhomogeneous $\ell$-TASEP


EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation


EGO-Swarm: A Fully Autonomous and Decentralized Quadrotor Swarm System in Cluttered Environments


EGO-TOPO: Environment Affordances from Egocentric Video


EGPT-PINN: Entropy-enhanced Generative Pre-Trained Physics Informed Neural Networks for parameterized nonlinear conservation laws


EGRC-Net: Embedding-induced Graph Refinement Clustering Network


EGSRAL: An Enhanced 3D Gaussian Splatting based Renderer with Automated Labeling for Large-Scale Driving Scene


EGTR: Extracting Graph from Transformer for Scene Graph Generation


EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation


EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search


EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning


EHR-SeqSQL : A Sequential Text-to-SQL Dataset For Interactively Exploring Electronic Health Records


EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records


EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records


EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models


EHRFL: Federated Learning Framework for Institution-Specific Model Construction using Electronic Health Records


EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records


EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries


EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models


EHRs Data Harmonization Platform, an easy-to-use shiny app based on recodeflow for harmonizing and deriving clinical features


EI-Nexus: Towards Unmediated and Flexible Inter-Modality Local Feature Extraction and Matching for Event-Image Data


EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage


EIANet: A Novel Domain Adaptation Approach to Maximize Class Distinction with Neural Collapse Principles


EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language Models


EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images


EIGNN: Efficient Infinite-Depth Graph Neural Networks


EINNs: Epidemiologically-informed Neural Networks


EIQP: Execution-time-certified and Infeasibility-detecting QP Solver


EISA-Score: Element Interactive Surface Area Score for Protein-Ligand Binding Affinity Prediction


EISPY2D: An Open-Source Python Library for the Development and Comparison of Algorithms in Two-Dimensional Electromagnetic Inverse Scattering Problems


EKF-Based Radar-Inertial Odometry with Online Temporal Calibration


EKFPnP: Extended Kalman Filter for Camera Pose Estimation in a Sequence of Images


ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming


ELASTIC: Improving CNNs with Dynamic Scaling Policies


ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler


ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA


ELDER: Enhancing Lifelong Model Editing with Mixture-of-LoRA


ELEA -- Build your own Evolutionary Algorithm in your Browser


ELECTRODE: An electrochemistry package for atomistic simulations


ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes


ELENA: Epigenetic Learning through Evolved Neural Adaptation


ELEPHANT: ExtragaLactic alErt Pipeline for Hostless AstroNomical Transients


ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models


ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero


ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction


ELF22: A Context-based Counter Trolling Dataset to Combat Internet Trolls


ELFNet: Evidential Local-global Fusion for Stereo Matching


ELFS: Enhancing Label-Free Coreset Selection via Clustering-based Pseudo-Labeling


ELG Spectroscopic Systematics Analysis of the DESI Data Release 1


ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection


ELIAS: End-to-End Learning to Index and Search in Large Output Spaces


ELICIT: LLM Augmentation via External In-Context Capability


ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward


ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens


ELIT: Emory Language and Information Toolkit


ELITE: Embedding-Less retrieval with Iterative Text Exploration


ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation


ELIXIR: Learning from User Feedback on Explanations to Improve Recommender Models


ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice


ELLA: Exploration through Learned Language Abstraction


ELLC - a fast, flexible light curve model for detached eclipsing binary stars and transiting exoplanets


ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition


ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation


ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports


ELMo-Tune-V2: LLM-Assisted Full-Cycle Auto-Tuning to Optimize LSM-Based Key-Value Stores


ELO-Rated Sequence Rewards: Advancing Reinforcement Learning Models


ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training


ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope Questions


ELQA: A Corpus of Metalinguistic Questions and Answers about English


ELSA: Enhanced Local Self-Attention for Vision Transformer


ELSKE: Efficient Large-Scale Keyphrase Extraction


ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines


ELTEX: A Framework for Domain-Driven Synthetic Data Generation


ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks


EM Pre-training for Multi-party Dialogue Response Generation


EM-Fault It Yourself: Building a Replicable EMFI Setup for Desktop and Server Hardware


EM-Fusion: Dynamic Object-Level SLAM with Probabilistic Data Association


EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation


EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective


EM-driven unsupervised learning for efficient motion segmentation


EMA: Auditing Data Removal from Trained Models


EMALG: An Enhanced Mandarin Lombard Grid Corpus with Meaningful Sentences


EMBER-2: Emulating baryons from dark matter across cosmic time with deep modulation networks


EMBRACE: Evaluation and Modifications for Boosting RACE


EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence


EMC2-Net: Joint Equalization and Modulation Classification based on Constellation Network


EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation


EMD-regression for modelling multi-scale relationships, and application to weather-related cardiovascular mortality


EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild


EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion Generation


EMEF: Ensemble Multi-Exposure Image Fusion


EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography


EMI: Exploration with Mutual Information


EMICSS: Added-value annotations for EMDB entries


EMID: An Emotional Aligned Dataset in Audio-Visual Modality


EMISSOR: A platform for capturing multimodal interactions as Episodic Memories and Interpretations with Situated Scenario-based Ontological References


EMIT- Event-Based Masked Auto Encoding for Irregular Time Series


EMMA: Efficient Visual Alignment in Multi-Modal LLMs


EMME: a formal tool for ECMAScript Memory Model Evaluation


EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments


EMMT: A simultaneous eye-tracking, 4-electrode EEG and audio corpus for multi-modal reading and translation scenarios


EMNS /Imz/ Corpus: An emotive single-speaker dataset for narrative storytelling in games, television and graphic novels


EMO-KNOW: A Large Scale Dataset on Emotion and Emotion-cause


EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning


EMO-SUPERB: An In-depth Look at Speech Emotion Recognition


EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling


EMOCA: Emotion Driven Monocular Face Capture and Animation


EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs


EMONA: Event-level Moral Opinions in News Articles


EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning


EMOVOME: A Dataset for Emotion Recognition in Spontaneous Real-Life Speech


EMOdiffhead: Continuously Emotional Control in Talking Head Generation via Diffusion


EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks


EMPLACE: Self-Supervised Urban Scene Change Detection


EMPOT: partial alignment of density maps and rigid body fitting using unbalanced Gromov-Wasserstein divergence


EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models


EMR-Merging: Tuning-Free High-Performance Model Merging


EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning


EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching


EMT: A Visual Multi-Task Benchmark Dataset for Autonomous Driving in the Arab Gulf Region


EMTeC: A Corpus of Eye Movements on Machine-Generated Texts


EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions


EMUSE: Evolutionary Map of the Universe Search Engine


EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal


EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature Template


ENACT: Entropy-based Clustering of Attention Input for Improving the Computational Performance of Object Detection Transformers


ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis


ENCODE: Encoding NetFlows for Network Anomaly Detection


ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer


ENCOVIZ: An open-source, secure and multi-role energy consumption visualisation platform


ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning


ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning


ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks


ENHANCE (ENriching Health data by ANnotations of Crowd and Experts): A case study for skin lesion classification


ENLIVE: An Efficient Nonlinear Method for Calibrationless and Robust Parallel Imaging


ENN: A Neural Network with DCT Adaptive Activation Functions


ENS-t-SNE: Embedding Neighborhoods Simultaneously t-SNE


ENSTRECT: A Stage-based Approach to 2.5D Structural Damage Detection


ENT-DESC: Entity Description Generation by Exploring Knowledge Graph


ENTIRe-ID: An Extensive and Diverse Dataset for Person Re-Identification


ENTMOOT: A Framework for Optimization over Ensemble Tree Models


ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting


EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images


EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits


EOS -- A Software for Flavor Physics Phenomenology


EOSFuzzer: Fuzzing EOSIO Smart Contracts for Vulnerability Detection


EOTNet: Deep Memory Aided Bayesian Filter for Extended Object Tracking


EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation


EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations


EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization


EPAM-Net: An Efficient Pose-driven Attention-guided Multimodal Network for Video Action Recognition


EPBench: A Benchmark for Short-term Earthquake Prediction with Neural Networks


EPCI: A New Tool for Predicting Absolute Permeability from CT images


EPCL: Frozen CLIP Transformer is An Efficient Point Cloud Encoder


EPD: Long-term Memory Extraction, Context-awared Planning and Multi-iteration Decision @ EgoPlan Challenge ICML 2024


EPEM: Efficient Parameter Estimation for Multiple Class Monotone Missing Data


EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models


EPI-based Oriented Relation Networks for Light Field Depth Estimation


EPIC Fields: Marrying 3D Geometry and Video Understanding


EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition


EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets


EPIC: A Lightweight LiDAR-Based UAV Exploration Framework for Large-Scale Scenarios


EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models


EPIC: Explanation of Pretrained Image Classification Networks via Prototype


EPIE Dataset: A Corpus For Possible Idiomatic Expressions


EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data


EPL: Empirical Prototype Learning for Deep Face Recognition


EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation


EPN: An Ego Vehicle Planning-Informed Network for Target Trajectory Prediction


EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection


EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection


EPO: Hierarchical LLM Agents with Environment Preference Optimization


EPOS: Estimating 6D Pose of Objects with Symmetries


EPOSIT: An Absolute Pose Estimation Method for Pinhole and Fish-Eye Cameras


EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling


EPR-Net: Constructing non-equilibrium potential landscape via a variational force projection formulation


EPRecon: An Efficient Framework for Real-Time Panoptic 3D Reconstruction from Monocular Video


EPSAPG: A Pipeline Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles


EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion


EPiC-GAN: Equivariant Point Cloud Generation for Particle Jets


EPiC: Cost-effective Search-based Prompt Engineering of LLMs for Code Generation


EPiC: Ensemble of Partial Point Clouds for Robust Classification


EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification


EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation


EQ-Bench: An Emotional Intelligence Benchmark for Large Language Models


EQ-Negotiator: An Emotion-Reasoning LLM Agent in Credit Dialogues


EQ-Net: Elastic Quantization Neural Networks


EQFace: A Simple Explicit Quality Network for Face Recognition


EQG-RACE: Examination-Type Question Generation


EQUATE: A Benchmark Evaluation Framework for Quantitative Reasoning in Natural Language Inference


EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]


ER-Test: Evaluating Explanation Regularization Methods for Language Models


ER: Equivariance Regularizer for Knowledge Graph Completion


ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis


ERA: Entity Relationship Aware Video Summarization with Wasserstein GAN


ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance


ERASER: A Benchmark to Evaluate Rationalized NLP Models


ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation


ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models


ERC-20R and ERC-721R: Reversible Transactions on Ethereum


ERF: Energy Research and Forecasting Model


ERFit: Entropic Regression Fit Matlab Package, for Data-Driven System Identification of Underlying Dynamic Equations


ERGO-ML: A continuous organization of the X-ray galaxy cluster population in TNG-Cluster with contrastive learning


ERIC: An Efficient and Practical Software Obfuscation Framework


ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning


ERIM: Secure, Efficient In-process Isolation with Memory Protection Keys (MPK)


ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation


ERM++: An Improved Baseline for Domain Generalization


ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization


ERNIE-Doc: A Retrospective Long-Document Modeling Transformer


ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding


ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model with Knowledge-Enhanced Mixture-of-Denoising-Experts


ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data


EROAS: 3D Efficient Reactive Obstacle Avoidance System for Autonomous Underwater Vehicles using 2.5D Forward-Looking Sonar


ERPoT: Effective and Reliable Pose Tracking for Mobile Robots Using Lightweight Polygon Maps


ERQA: Edge-Restoration Quality Assessment for Video Super-Resolution


ERR@HRI 2024 Challenge: Multimodal Detection of Errors and Failures in Human-Robot Interactions


ERRANT: Realistic Emulation of Radio Access Networks


ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification


ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation


ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval


ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments


ERX: A Fast Real-Time Anomaly Detection Algorithm for Hyperspectral Line Scanning


EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection


ERetinex: Event Camera Meets Retinex Theory for Low-Light Image Enhancement


ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting


ES-MAML: Simple Hessian-Free Meta Learning


ES-Net: An Efficient Stereo Matching Network


ES-dRNN with Dynamic Attention for Short-Term Load Forecasting


ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting


ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework


ESA-Ariel Data Challenge NeurIPS 2022: Introduction to exo-atmospheric studies and presentation of the Atmospheric Big Challenge (ABC) Database


ESA: Annotation-Efficient Active Learning for Semantic Segmentation


ESA: Entity Summarization with Attention


ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance


ESC-Rules: Explainable, Semantically Constrained Rule Sets


ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers


ESC: Erasing Space Concept for Knowledge Deletion


ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine


ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research


ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret


ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain


ESCoT: Towards Interpretable Emotional Support Dialogue Systems


ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure


ESFNet: Efficient Network for Building Extraction from High-Resolution Aerial Images


ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video


ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation


ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching


ESOD: Efficient Small Object Detection on High-Resolution Images


ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation


ESP-PCT: Enhanced VR Semantic Performance through Efficient Compression of Temporal and Spatial Redundancies in Point Cloud Transformers


ESPBench: The Enterprise Stream Processing Benchmark


ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination


ESPM-D: Efficient Sparse Polynomial Multiplication for Dilithium on ARM Cortex-M4 and Apple M2


ESPN: Memory-Efficient Multi-Vector Information Retrieval


ESPRESSO observations of Gaia BH1: high-precision orbital constraints and no evidence for an inner binary


ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data


ESPRIT: Explaining Solutions to Physical Reasoning Tasks


ESPnet-ONNX: Bridging a Gap Between Research and Production


ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation


ESRO: Experience Assisted Service Reliability against Outages


ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio


ESResNet: Environmental Sound Classification Based on Visual Domain Models


ESS: Learning Event-based Semantic Segmentation from Still Images


ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution


ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning


ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling


ESVIO: Event-based Stereo Visual Inertial Odometry


ESceme: Vision-and-Language Navigation with Episodic Scene Memory


ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding


ESpinS: A program for classical Monte-Carlo simulations of spin systems


ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data


ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification


ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation


ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension


ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time


ETAD: Training Action Detection End to End on a Laptop


ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance


ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation


ETC: Encoding Long and Structured Inputs in Transformers


ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness


ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems


ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation


ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections


ETHIC: Evaluating Large Language Models on Long-Context Tasks with High Information Coverage


ETHOS - An Effective Theory of Structure Formation: From dark particle physics to the matter distribution of the Universe


ETHOS: an Online Hate Speech Detection Dataset


ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware


ETNet: Error Transition Network for Arbitrary Style Transfer


ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly


ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading


ETT-CKGE: Efficient Task-driven Tokens for Continual Knowledge Graph Embedding


ETran: Energy-Based Transferability Estimation


EU Long-term Dataset with Multiple Sensors for Autonomous Driving


EUDA: An Efficient Unsupervised Domain Adaptation via Self-Supervised Vision Transformer


EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections


EUFCC-CIR: a Composed Image Retrieval Dataset for GLAM Collections


EUNIS Habitat Maps: Enhancing Thematic and Spatial Resolution for Europe through Machine Learning


EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain


EUREKA: EUphemism Recognition Enhanced through Knn-based methods and Augmentation


EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums


EUROPA: A Legal Multilingual Keyphrase Generation Dataset


EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles


EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner


EV2Gym: A Flexible V2G Simulator for EV Smart Charging Research and Benchmarking


EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters


EVA-MILP: Towards Standardized Evaluation of MILP Instance Generation


EVA-Planner: Environmental Adaptive Quadrotor Planning


EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning


EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric Optimization


EVA3D: Compositional 3D Human Generation from 2D Image Collections


EVAC+: Multi-scale V-net with Deep Feature CRF Layers for Brain Extraction


EVAGAN: Evasion Generative Adversarial Network for Low Data Regimes


EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models


EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data


EVCL: Elastic Variational Continual Learning with Weight Consolidation


EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV


EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model


EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification


EVIL: Exploiting Software via Natural Language


EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System


EVLoc: Event-based Visual Localization in LiDAR Maps via Event-Depth Registration


EVM: Incorporating Model Checking into Exploratory Visual Analysis


EVNet: An Explainable Deep Network for Dimension Reduction


EVOLIN Benchmark: Evaluation of Line Detection and Association


EVOR: Evolving Retrieval for Code Generation


EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text Alignment


EVREAL: Towards a Comprehensive Benchmark and Analysis Suite for Event-based Video Reconstruction


EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge Devices


EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention


EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud Computing


EVulHunter: Detecting Fake Transfer Vulnerabilities for EOSIO's Smart Contracts at Webassembly-level


EWF : simulating exact paths of the Wright--Fisher diffusion


EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models


EWMoE: An effective model for global weather forecasting with mixture-of-experts


EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning


EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification


EX-Graph: A Pioneering Dataset Bridging Ethereum and X


EXACT: A collaboration toolset for algorithm-aided annotation of images with annotation version control


EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models


EXAMS: A Multi-Subject High School Examinations Dataset for Cross-Lingual and Multilingual Question Answering


EXAONEPath 1.0 Patch-level Foundation Model for Pathology


EXAQ: Exponent Aware Quantization For LLMs Acceleration


EXAdam: The Power of Adaptive Cross-Moments


EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction


EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation


EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset


EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations


EXODUS: Stable and Efficient Training of Spiking Neural Networks


EXOT: Exit-aware Object Tracker for Safe Robotic Manipulation of Moving Object


EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning


EXPATS: A Toolkit for Explainable Automated Text Scoring


EXPERT: Public Benchmarks for Dynamic Heterogeneous Academic Graphs


EXPIL: Explanatory Predicate Invention for Learning in Games


EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact Verification


EXPLORA: AI/ML EXPLainability for the Open RAN


EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning


EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning


EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions


EXSCLAIM! -- An automated pipeline for the construction of labeled materials imaging datasets from literature


EXTRACTER: Efficient Texture Matching with Attention and Gradient Enhancing for Large Scale Image Super Resolution


EZ-CLIP: Efficient Zeroshot Video Action Recognition


EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection


EZCrop: Energy-Zoned Channels for Robust Output Pruning


EZIGen: Enhancing zero-shot personalized image generation with precise subject encoding and decoupled guidance


E^2TAD: An Energy-Efficient Tracking-based Action Detector


E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning


E^2VTS: Energy-Efficient Video Text Spotting from Unmanned Aerial Vehicles


EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models


EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection


Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection


Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation


Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data


EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy


Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence


Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras


EagleEye: Attention to Unveil Malicious Event Sequences from Provenance Graphs


EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning


EagleMine: Vision-Guided Mining in Large Graphs


EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing


Ear2Face: Deep Biometric Modality Mapping


Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective


Early Abandoning PrunedDTW and its application to similarity search


Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping


Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health Episodes


Early Concept Drift Detection via Prediction Uncertainty


Early Detection of Critical Urban Events using Mobile Phone Network Data


Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning


Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence Models


Early Galaxies and Early Dark Energy: A Unified Solution to the Hubble Tension and Puzzles of Massive Bright Galaxies revealed by JWST


Early Indicators of Scientific Impact: Predicting Citations with Altmetrics


Early Lane Change Prediction for Automated Driving Systems Using Multi-Task Attention-based Convolutional Neural Networks


Early Life Cycle Software Defect Prediction. Why? How?


Early Methods for Detecting Adversarial Images


Early Myocardial Infarction Detection over Multi-view Echocardiography


Early Operative Difficulty Assessment in Laparoscopic Cholecystectomy via Snapshot-Centric Video Analysis


Early Prediction for Merged vs Abandoned Code Changes in Modern Code Reviews


Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting


Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation


Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H


Early Release Science of the exoplanet WASP-39b with JWST NIRISS


Early Results From GLASS-JWST. XII: The Morphology of Galaxies at the Epoch of Reionization


Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images


Early Signs of Steganographic Capabilities in Frontier LLMs


Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks


Early Stage Malware Prediction Using Recurrent Neural Networks


Early Stopping Against Label Noise Without Validation Data


Early Stopping Bayesian Optimization for Controller Tuning


Early Stopping in Deep Networks: Double Descent and How to Eliminate it


Early Stopping is Nonparametric Variational Inference


Early Time Classification with Accumulated Accuracy Gap Control


Early Verification of Legal Compliance via Bounded Satisfiability Checking


Early Weight Averaging meets High Learning Rates for LLM Pre-training


Early alignment in two-layer networks training is a two-edged sword


Early evidence of how LLMs outperform traditional systems on OCR/HTR tasks for historical records


Early hospital mortality prediction using vital signals


Early life imprints the hierarchy of T cell clone sizes


Early solar wind and dynamo magnetic field topology predictions for (16) Psyche and other asteroids


Early warning skill, extrapolation and tipping for accelerating cascades


Early-Exit and Instant Confidence Translation Quality Estimation


Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial Flows


Early-exit Convolutional Neural Networks


Early-exit deep neural networks for distorted images: providing an efficient edge offloading