Efficient and Scalable Estimation of Tool Representations in Vector Space


Efficient and Scalable Graph Generation through Iterative Local Expansion


Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes


Efficient and Sparse Neural Networks by Pruning Weights in a Multiobjective Learning Approach


Efficient and Transferable Adversarial Examples from Bayesian Neural Networks


Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data


Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data


Efficient and accurate numerical-projection of electromagnetic multipoles for scattering objects


Efficient and faithful reconstruction of dynamical attractors using homogeneous differentiators


Efficient and flexible MATLAB implementation of 2D and 3D elastoplastic problems


Efficient and flexible causal mediation with time-varying mediators, treatments, and confounders


Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration


Efficient and inefficient hydrodynamic escape of exo-satellite atmospheres driven by irradiation from their young giant planets


Efficient and portable acceleration of quantum chemical many-body methods in mixed floating point precision using OpenACC compiler directives


Efficient and powerful equivalency test on combined mean and variance with application to diagnostic device comparison studies


Efficient and precise transit light curves for rapidly-rotating, oblate stars


Efficient and principled score estimation with Nyström kernel exponential families


Efficient and quantum-adaptive machine learning with fermion neural networks


Efficient and robust methods for causally interpretable meta-analysis: transporting inferences from multiple randomized trials to a target population


Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data


Efficient and scalable Path Integral Monte Carlo Simulations with worm-type updates for Bose-Hubbard and XXZ models


Efficient and scalable data structures and algorithms for goal-oriented adaptivity of space-time FEM codes


Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search


Efficient approximations of transcriptional bursting effects on the dynamics of a gene regulatory network


Efficient bandwidth extension of musical signals using a differentiable harmonic plus noise model


Efficient block contrastive learning via parameter-free meta-node approximation


Efficient brain age prediction from 3D MRI volumes using 2D projections


Efficient calculation of carrier scattering rates from first principles


Efficient calculation of self magnetic field, self-force, and self-inductance for electromagnetic coils. II. Rectangular cross-section


Efficient calculation of the self magnetic field, self-force, and self-inductance for electromagnetic coils


Efficient channelization on a Graphics Processing Unit


Efficient classical algorithms for simulating symmetric quantum systems


Efficient compression of neural networks and datasets


Efficient computation of Linking number with certification


Efficient computation of contrastive explanations


Efficient computation of counterfactual explanations of LVQ models


Efficient computation of high-dimensional penalized piecewise constant hazard random effects models


Efficient computation of optical excitations in two-dimensional materials with the Xatu code


Efficient computation of soliton gas primitive potentials


Efficient computation of temporal exceeding probability of ship responses in a random wave field


Efficient computation of the Wright function and its applications to fractional diffusion-wave equations


Efficient computation of the overpartition function and applications


Efficient computation of the sinc matrix function for the integration of second-order differential equations


Efficient computation of the zeros of the Bargmann transform under additive white noise


Efficient computation of topological integral transforms


Efficient computations of discrete cubical homology


Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognition


Efficient constraint learning for data-driven active distribution network operation


Efficient construction of Bayes optimal designs for stochastic process models


Efficient construction of linear models in materials modeling and applications to force constant expansions


Efficient control pulses for continuous quantum gate families through coordinated re-optimization


Efficient convex PCA with applications to Wasserstein GPCA and ranked data


Efficient course recommendations with T5-based ranking and summarization


Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions


Efficient deep data assimilation with sparse observations and time-varying sensors


Efficient description of experimental effects in amplitude analyses


Efficient determination of HPGe {\gamma}-ray efficiencies at high energies with ready-to-use simulation software


Efficient discovery of multiple minimum action pathways using Gaussian process


Efficient discretization of the Laplacian on complex geometries


Efficient distributed representations with linear-time attention scores normalization


Efficient dynamic modal load reconstruction using physics-informed Gaussian processes based on frequency-sparse Fourier basis functions


Efficient emulators for scattering using eigenvector continuation


Efficient encoding of the weighted MAX k-CUT on a quantum computer using QAOA


Efficient end-to-end learning for quantizable representations


Efficient estimation and correction of selection-induced bias with order statistics


Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates


Efficient event-driven simulations of hard spheres


Efficient factored gradient descent algorithm for quantum state tomography


Efficient fine-tuning methodology of text embedding models for information retrieval: contrastive learning penalty (clp)


Efficient first principles based modeling via machine learning: from simple representations to high entropy materials


Efficient forecasting and uncertainty quantification for large scale account level Monte Carlo models of debt recovery


Efficient function approximation on general bounded domains using splines on a cartesian grid


Efficient globalization of heavy-ball type methods for unconstrained optimization based on curve searches


Efficient gradient-based methods for bilevel learning via recycling Krylov subspaces


Efficient graph construction for image representation


Efficient high-order accurate Fresnel diffraction via areal quadrature and the nonuniform FFT


Efficient high-resolution RF pulse design applied to simultaneous multi-slice excitation


Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach


Efficient hyperparameter optimization by way of PAC-Bayes bound minimization


Efficient identification of Majorana modes in large tight-binding systems


Efficient identification of informative features in simulation-based inference


Efficient implementation of atom-density representations


Efficient implementation of modern entropy stable and kinetic energy preserving discontinuous Galerkin methods for conservation laws


Efficient implementation of randomized quantum algorithms with dynamic circuits


Efficient inference and identifiability analysis for differential equation models with random parameters


Efficient inference for genetic association studies with multiple outcomes


Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms


Efficient inference of rankings from multi-body comparisons


Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval


Efficient k-clique Listing with Set Intersection Speedup [Technical Report]


Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers


Efficient large-scale, targeted gravitational-wave probes of supermassive black-hole binaries


Efficient learning of goal-oriented push-grasping synergy in clutter


Efficient learning of large sets of locally optimal classification rules


Efficient learning of nonlinear prediction models with time-series privileged information


Efficient least squares for estimating total effects under linearity and causal sufficiency


Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models


Efficient limited-time reachability estimation in temporal networks


Efficient loading of reduced data ensembles produced at ORNL SNS/HFIR neutron time-of-flight facilities


Efficient local linearity regularization to overcome catastrophic overfitting


Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys


Efficient mapping of phase diagrams with conditional Boltzmann Generators


Efficient measurement schemes for bosonic systems


Efficient method to calculate the electron-phonon coupling constant and superconducting transition temperature


Efficient methods for Gaussian Markov random fields under sparse linear constraints


Efficient mid-term forecasting of hourly electricity load using generalized additive models


Efficient mixture model for clustering of sparse high dimensional binary data


Efficient multi-level hp-finite elements in arbitrary dimensions


Efficient mutual magic and magic capacity with matrix product states


Efficient neural networks for real-time modeling of analog dynamic range compression


Efficient neural topology optimization via active learning for enhancing turbulent mass transfer in fluid channels


Efficient nonparametric estimation of the covariate-adjusted threshold-response function, a support-restricted stochastic intervention


Efficient online learning with kernels for adversarial large scale problems


Efficient optimization of ODE neuron models using gradient descent


Efficient optimization of cut-offs in quantum repeater chains


Efficient parallel algorithm for estimating higher-order polyspectra


Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares


Efficient passive membership inference attack in federated learning


Efficient phase-space generation for hadron collider event simulation


Efficient polarizable QM/MM using the direct reaction field Hamiltonian with electrostatic potential fitted multipole operators


Efficient posterior sampling for Bayesian Poisson regression


Efficient preconditioned stochastic gradient descent for estimation in latent variable models


Efficient prediction of grain boundary energies from atomistic simulations via sequential design


Efficient production of sodium Bose-Einstein condensates in a hybrid trap


Efficient quantitative hyperspectral image unmixing method for large-scale Raman micro-spectroscopy data analysis


Efficient quantum algorithm for dissipative nonlinear differential equations


Efficient quantum algorithms for stabilizer entropies


Efficient quantum algorithms for testing symmetries of open quantum systems


Efficient quantum interpolation of natural data


Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions


Efficient reconstruction, benchmarking and validation of cross-talk models in readout noise in near-term quantum devices


Efficient recursive encoders for quantum Reed-Muller codes towards Fault tolerance


Efficient recursive least squares solver for rank-deficient matrices


Efficient reduced-rank methods for Gaussian processes with eigenfunction expansions


Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge


Efficient representation of spatio-temporal data using cylindrical shearlets


Efficient sampling for sparse Bayesian learning using hierarchical prior normalization


Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics


Efficient scaling and squaring method for the matrix exponential


Efficient scene text image super-resolution with semantic guidance


Efficient search of active inference policy spaces using k-means


Efficient semantic image segmentation with superpixel pooling


Efficient semidefinite bounds for multi-label discrete graphical models


Efficient semidefinite-programming-based inference for binary and multi-class MRFs


Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain


Efficient simulation of mixed boundary value problems and conformal mappings


Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood


Efficient space-time adaptivity for parabolic evolution equations using wavelets in time and finite elements in space


Efficient sparse probability measures recovery via Bregman gradient


Efficient spin accumulation carried by slow relaxons in chiral tellurium


Efficient state preparation for the quantum simulation of molecules in first quantization


Efficient stereo matching on embedded GPUs with zero-means cross correlation


Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning


Efficient tensor networks for control-enhanced quantum metrology


Efficient terabyte-scale text compression via stable local consistency and parallel grammar processing


Efficient third order tensor-oriented directional splitting for exponential integrators


Efficient time stepping for numerical integration using reinforcement learning


Efficient timing jitter simulation for passively mode-locked semiconductor lasers


Efficient training of energy-based models via spin-glass control


Efficient transfer learning for NLP with ELECTRA


Efficient two-parameter persistence computation via cohomology


Efficient variational Bayesian neural network ensembles for outlier detection


Efficient variational synthesis of quantum circuits with coherent multi-start optimization


Efficient volumetric mapping of multi-scale environments using wavelet-based compression


Efficient wave type fingerprinting and filtering by six-component polarization analysis


Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function


Efficient, Out-of-Memory Sparse MTTKRP on Massively Parallel Architectures


Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning


Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers


Efficient, high-performance pancreatic segmentation using multi-scale feature extraction


Efficient, sparse representation of manifold distance matrices for classical scaling


Efficient, uninformative sampling of limb-darkening coefficients for a three-parameter law


Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation


Efficient4D: Fast Dynamic 3D Object Generation from a Single-view Video


EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation


EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency and Representation


EfficientCD: A New Strategy For Change Detection Based With Bi-temporal Layers Exchanged


EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware Pseudocoloring


EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models


EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Prior


EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models


EfficientMorph: Parameter-Efficient Transformer-Based Architecture for 3D Image Registration


EfficientNeRF: Efficient Neural Radiance Fields


EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search


EfficientRAG: Efficient Retriever for Multi-Hop Question Answering


EfficientRec an unlimited user-item scale recommendation system based on clustering and users interaction embedding profile


EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging


EfficientSeg: An Efficient Semantic Segmentation Network


EfficientSpeech: An On-Device Text to Speech Model


EfficientTDNN: Efficient Architecture Search for Speaker Recognition


EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning


EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba


EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality


EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning


EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data


Efficiently Access Diffusion Fisher: Within the Outer Product Span Space


Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning


Efficiently Approximating Spread Dimension with High Confidence


Efficiently Building and Characterizing Electromagnetic Models of Multi-Qubit Superconducting Circuits


Efficiently Checking Actual Causality with SAT Solving


Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning


Efficiently Computing Directed Minimum Spanning Trees


Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation


Efficiently Computing Sparse Fourier Transforms of $q$-ary Functions


Efficiently Creating 3D Training Data for Fine Hand Pose Estimation


Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts


Efficiently Disentangle Causal Representations


Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt


Efficiently Enumerating Minimal Triangulations


Efficiently Explaining CSPs with Unsatisfiable Subset Optimization


Efficiently Learning the Graph for Semi-supervised Learning


Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network


Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items


Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose


Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding


Efficiently Serving Large Multimodal Models Using EPD Disaggregation


Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm


Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling


Efficiently Training Low-Curvature Neural Networks


Efficiently Transforming Tables for Joinability


Efficiently Tuned Parameters are Task Embeddings


Efficiently Vectorized MCMC on Modern Accelerators


Efficiently avoiding saddle points with zero order methods: No gradients required


Efficiently evaluating loop integrals in the EFTofLSS using QFT integrals with massive propagators


Efficiently generating inverse-Wishart matrices and their Cholesky factors


Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space


Efficiently making (almost) any concurrency control mechanism serializable


Efficiently manipulating Pauli strings with PauliArray


Efficiently measuring $d$-wave pairing and beyond in quantum gas microscopes


Efficiently solving the thief orienteering problem with a max-min ant colony optimization approach


Efficiently-Verifiable Strong Uniquely Solvable Puzzles and Matrix Multiplication


Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet Accuracy


Effortless Deep Training for Traffic Sign Detection Using Templates and Arbitrary Natural Images


EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables


Egalitarian Language Representation in Language Models: It All Begins with Tokenizers


Egglog Python: A Pythonic Library for E-graphs


Ego Group Partition: A Novel Framework for Improving Ego Experiments in Social Networks


Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures


Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos


Ego-Motion Aware Target Prediction Module for Robust Multi-Object Tracking


Ego-Pose Estimation and Forecasting as Real-Time PD Control


Ego-motion Estimation Based on Fusion of Images and Events


Ego3DPose: Capturing 3D Cues from Binocular Egocentric Views


EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video


EgoBlind: Towards Egocentric Visual Assistance for the Blind


EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices


EgoCOL: Egocentric Camera pose estimation for Open-world 3D object Localization @Ego4D challenge 2023


EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval


EgoDTM: Towards 3D-Aware Egocentric Video-Language Pretraining


EgoEvGesture: Gesture Recognition Based on Egocentric Event Camera


EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding


EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding


EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World


EgoHand: Ego-centric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMUs


EgoLife: Towards Egocentric Life Assistant


EgoLifter: Open-world 3D Segmentation for Egocentric Perception


EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries


EgoMimic: Scaling Imitation Learning via Egocentric Video


EgoNCE++: Do Egocentric Video-Language Models Really Understand Hand-Object Interactions?


EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale


EgoNormia: Benchmarking Physical Social Norm Understanding


EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding


EgoPlan-Bench: Benchmarking Multimodal Large Language Models for Human-Level Planning


EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation


EgoPrivacy: What Your First-Person Camera Says About You?


EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding


EgoTaskQA: Understanding Human Tasks in Egocentric Videos


EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering


EgoToM: Benchmarking Theory of Mind Reasoning from Egocentric Videos


EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset


EgoVLM: Policy Optimization for Egocentric Video Understanding


EgoVSR: Towards High-Quality Egocentric Video Super-Resolution


EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation


Egocentric Action-aware Inertial Localization in Point Clouds


Egocentric Audio-Visual Object Localization


Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments


Egocentric Event-Based Vision for Ping Pong Ball Trajectory Prediction


Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion


Egocentric Scene Understanding via Multimodal Spatial Rectifier


Egocentric Video Description based on Temporally-Linked Sequences


Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models


Egret Swarm Optimization Algorithm: An Evolutionary Computation Approach for Model Free Optimization


Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic Simulation


EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora


EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time


EiX-GNN : Concept-level eigencentrality explainer for graph neural networks


Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion


Eidetic Learning: an Efficient and Provable Solution to Catastrophic Forgetting


Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization


Eigen Attention: Attention in Low-Rank Space for KV Cache Compression


Eigen component analysis: A quantum theory incorporated machine learning technique to find linearly maximum separable components


Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation


Eigen-inference by Marchenko-Pastur inversion


Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs


EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis


EigenFold: Generative Protein Structure Prediction with Diffusion Models


EigenGAN: Layer-Wise Eigen-Learning for GANs


EigenGP: Gaussian Process Models with Adaptive Eigenfunctions


EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference


EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition


EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution


Eigenbackground Revisited: Can We Model the Background with Eigenvectors?


Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums


Eigendecomposition of Q in Equally Constrained Quadratic Programming


Eigengap Sparsity for Covariance Parsimony


Eigenpruning: an Interpretability-Inspired PEFT Method


Eigenspace embeddings of imprimitive association schemes


Eigenstructure inference for high-dimensional covariance with generalized shrinkage inverse-Wishart prior


Eigentriads and Eigenprogressions on the Tonnetz


Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory


Eigenvalue and Generalized Eigenvalue Problems: Tutorial


Eigenvalue backward errors of Rosenbrock systems and optimization of sums of Rayleigh quotient


Eight Years of Rider Measurement in the Android Malware Ecosystem: Evolution and Lessons Learned


Eighteen Years of Kilonova Discoveries with Swift


EikoNet: Solving the Eikonal equation with Deep Neural Networks


Eikos: a Bayesian unfolding method for differential cross-section measurements


Eilmer: an Open-Source Multi-Physics Hypersonic Flow Solver


EinExprs: Contraction Paths of Tensor Networks as Symbolic Expressions


Einstein-Proca theory from the Einstein-Cartan formulation


Einstein-de Haas torque as a discrete spectroscopic probe allows nanomechanical measurement of a magnetic resonance


EinsteinPy: A Community Python Package for General Relativity


Ejecta masses in Type Ia Supernovae -- Implications for the Progenitor and the Explosion Scenario


EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian Twitter


Ektelo: A Framework for Defining Differentially-Private Computations


El Departamento de Nosotros: How Machine Translated Corpora Affects Language Models in MRC Tasks


El-CID: A filter for Gravitational-wave Electromagnetic Counterpart Identification


ElATools: A tool for analyzing anisotropic elastic properties of the 2D and 3D materials


ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data


ElVibRot-MPI: parallel quantum dynamics with Smolyak algorithm for general molecular simulation


Elaboration-Generating Commonsense Question Answering at Scale


Elaborative Rehearsal for Zero-shot Action Recognition


Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification


Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation


Elastic 3D Wavefield Simulation on budget GPUs using the GLSL shading language


Elastic Coupled Co-clustering for Single-Cell Genomic Data


Elastic Founder Graphs Improved and Enhanced


Elastic Full Procrustes Analysis of Plane Curves via Hermitian Covariance Smoothing


Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net


Elastic Integrative Analysis of Randomized Trial and Real-World Data for Treatment Heterogeneity Estimation


Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms


Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing


Elastic Product Quantization for Time Series


Elastic Shape Analysis of Brain Structures for Predictive Modeling of PTSD


Elastic Weight Removal for Faithful and Abstractive Dialogue Generation


Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization


Elastic moduli and thermal conductivity of quantum materials at finite temperature


Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments


Elastic shape analysis of surfaces with second-order Sobolev metrics: a comprehensive numerical framework


Elastic waves in bearing raceways: the forward and inverse problem


Elastic weight consolidation for better bias inoculation


ElasticAST: An Audio Spectrogram Transformer for All Length and Resolutions


ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation


ElasticFace: Elastic Margin Loss for Deep Face Recognition


ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch


Elastoplasticity Mediates Dynamical Heterogeneity Below the Mode-Coupling Temperature


Elder-Rule-Staircodes for Augmented Metric Spaces


EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer


ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models


ElecSus: Extension to arbitrary geometry magneto-optics


ElecTra Code: Full-Band Electronic Transport Properties of Materials


ElectAnon: A Blockchain-Based, Anonymous, Robust and Scalable Ranked-Choice Voting Protocol


Electoral Agitation Data Set: The Use Case of the Polish Election


Electoral Crime Under Democracy: Information Effects from Judicial Decisions in Brazil


Electre Tree A Machine Learning Approach to Infer Electre Tri B Parameters


Electric Field Models of Transcranial Magnetic Stimulation Coils with Arbitrary Geometries: Reconstruction from Incomplete Magnetic Field Measurements


Electric Vehicle Charging Stations Placement Optimization in Vietnam Using Mixed-Integer Nonlinear Programming Model


Electric Vehicle Fleets: Scalable Route and Recharge Scheduling through Column Generation


Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief


Electric streamers as a nonlinear instability: the model details


Electrical Impedance Tomography with Deep Calderón Method


Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches


Electrical Transport in Tunably-Disordered Metamaterials


Electrical and Thermal Conductivity of Complex-Shaped Contact Spots


Electrical and electromagnetic responses over steel-cased wells


Electricity Market Bidding for Renewable Electrolyzer Plants: An Opportunity Cost Approach


Electricity Market Equilibrium under Information Asymmetry


Electricity Spot Prices Forecasting Using Stochastic Volatility Models


Electricity Theft Detection with self-attention


Electrification in granular gases leads to constrained fractal growth


ElectroCardioGuard: Preventing Patient Misidentification in Electrocardiogram Databases through Neural Networks


Electrocardio Panorama: Synthesizing New ECG Views with Self-supervision


Electrodeless electrode model for electrical impedance tomography


Electroelastic guided wave dispersion in piezoelectric plates: spectral methods and laser-ultrasound experiments


Electrolyte effects on the alkaline hydrogen evolution reaction: a mean-field approach


Electrolyzer Scheduling for Nordic FCR Services


Electromagnetic Based Communication Model for Dynamic Metasurface Antennas


Electromagnetic Follow-up to Gravitational Wave Events with the UltraViolet EXplorer (UVEX)


Electromagnetic Model of Reflective Intelligent Surfaces


Electromagnetic Signatures of Mirror Stars


Electron EDM and $Γ(μ\to e γ)$ in the 2HDM


Electron Energy Regression in the CMS High-Granularity Calorimeter Prototype


Electron Transport in Gaseous Detectors with a Python-based Monte Carlo Simulation Code


Electron and Muon Dynamics in Neutron Stars Beyond Chemical Equilibrium


Electron and muon magnetic moments and implications for dark matter and model characterisation in non-universal $U(1)^\prime$ supersymmetric models


Electron evaporation from magnetic trap in "Troitsk nu-mass" experiment


Electron flow matching for generative reaction mechanism prediction obeying conservation laws


Electron-beam induced emergence of mesoscopic ordering in layered MnPS$_{3}$


Electronic Correlation and Geometrical Frustration in Molecular Solids -- A Systematic ab initio Study of $\beta^\prime$-$X$[Pd(dmit)$_{2}$]$_{2}$


Electronic Health Record Phenotyping with Internally Assessable Performance (PhIAP) using Anchor-Positive and Unlabeled Patients


Electronic Structure Guided Inverse Design Using Generative Models


Electronic state unfolding for plane waves: energy bands, Fermi surfaces and spectral functions


Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials


Electrostatics-based particle sampling and approximate inference


ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning


Elemantra: An End-to-End Automated Framework Empowered with AI and IoT for Tackling Human-Elephant Conflict in Elephant-Range Countries


Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties


Element similarity in high-dimensional materials representations


Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method


Element-wise and Recursive Solutions for the Power Spectral Density of Biological Stochastic Dynamical Systems at Fixed Points


Elementary abelian subgroups: from algebraic groups to finite groups


Elementary methods provide more replicable results in microbial differential abundance analysis


Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research


Elevating Academic Administration: A Comprehensive Faculty Dashboard for Tracking Student Evaluations and Research


Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning


Elevating Code-mixed Text Handling through Auditory Information of Words


Elevating Cyber Threat Intelligence against Disinformation Campaigns with LLM-based Concept Extraction and the FakeCTI Dataset


Elevating Flow-Guided Video Inpainting with Reference Generation


Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning


Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision


Elf autoencoder: unsupervised exploration of flat-band materials using electronic band structure fingerprints


Eliciting Honest Information From Authors Using Sequential Review


Eliciting Human Preferences with Language Models


Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties


Eliciting Informative Text Evaluations with Large Language Models


Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer


Eliciting Latent Knowledge from Quirky Language Models


Eliciting Latent Predictions from Transformers with the Tuned Lens


Eliciting New Wikipedia Users' Interests via Automatically Mined Questionnaires: For a Warm Welcome, Not a Cold Start


Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning


Eliciting Textual Descriptions from Representations of Continuous Prompts


Eliciting and Learning with Soft Labels from Every Annotator


Eliciting and Understanding Cross-Task Skills with Task-Level Mixture-of-Experts


Eliciting prior information from clinical trials via calibrated Bayes factor


Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift


ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions


Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization


Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion


Eliminating Domain Bias for Federated Learning in Representation Space


Eliminating Feature Ambiguity for Few-Shot Segmentation


Eliminating Gradient Conflict in Reference-based Line-Art Colorization


Eliminating Left Recursion without the Epsilon


Eliminating Position Bias of Language Models: A Mechanistic Approach


Eliminating Quantization Errors in Classification-Based Sound Source Localization


Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction


Eliminating The Impossible, Whatever Remains Must Be True


Eliminating Warping Shakes for Unsupervised Online Video Stitching


Eliminating artefacts in Polarimetric Images using Deep Learning


Eliminating unwanted patterns with minimal interference


Elimination (a,b)-trees with fast, durable updates


ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models


Elites, communities and the limited benefits of mentorship in electronic music


Elixir: Train a Large Language Model on a Small GPU Cluster


EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking


Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation


EllipBench: A Large-scale Benchmark for Machine-learning based Ellipsometry Modeling


EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography


Ellipsis Resolution as Question Answering: An Evaluation


Ellipsis: Towards Efficient System Auditing for Real-Time Systems


Ellipsoid fitting with the Cayley transform


Ellipsoidal Subspace Support Vector Data Description


Ellipsotopes: Combining Ellipsoids and Zonotopes for Reachability Analysis and Fault Detection


Elliptic curves with missing Frobenius traces


Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning


Elmer FEM-Dakota: A unified open-source computational framework for electromagnetics and data analytics


Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting


Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks


Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation


Elucidating chirality transfer in liquid crystals of viruses


Elucidating image-to-set prediction: An analysis of models, losses and datasets


Elucidating the Exposure Bias in Diffusion Models


Elucidating the design space of language models for image generation


Elucidating the solution space of extended reverse-time SDE for diffusion models


Elucidating the theoretical underpinnings of surrogate gradient learning in spiking neural networks


Elucidation of Relaxation Dynamics Beyond Equilibrium Through AI-informed X-ray Photon Correlation Spectroscopy


Eluding Secure Aggregation in Federated Learning via Model Inconsistency


Elvet -- a neural network-based differential equation and variational problem solver


Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts


Elysium: Exploring Object-level Perception in Videos via MLLM


EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language Models


EmPO: Emotion Grounding for Empathetic Response Generation through Preference Optimization


EmProx: Neural Network Performance Estimation For Neural Architecture Search


EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition


EmTract: Extracting Emotions from Social Media


EmailSum: Abstractive Email Thread Summarization


EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models


Embarassingly Simple Dataset Distillation


Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric


Embarrassingly Parallel Inference for Gaussian Processes


Embarrassingly Simple Binary Representation Learning


Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference


Embarrassingly Simple Unsupervised Aspect Extraction


Embed Me If You Can: A Geometric Perceptron


EmbedLLM: Learning Compact Representations of Large Language Models


EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths


Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI


Embedded Feature Similarity Optimization with Specific Parameter Initialization for 2D/3D Medical Image Registration


Embedded Multilevel Regression and Poststratification: Model-based Inference with Incomplete Auxiliary Information


Embedded Neural Networks for Robot Autonomy


Embedded Prompt Tuning: Towards Enhanced Calibration of Pretrained Models for Medical Images


Embedded System for Recording and Controlling Hand Hygiene in Healthcare Environments


Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting


Embedded real-time stereo estimation via Semi-Global Matching on the GPU


Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling


Embedding API Dependency Graph for Neural Code Generation


Embedding Biomedical Ontologies by Jointly Encoding Network Structure and Textual Node Descriptors


Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples


Embedding Complexity In the Data Representation Instead of In the Model: A Case Study Using Heterogeneous Medical Data


Embedding Compression Distortion in Video Coding for Machines


Embedding Cyclical Information in Solar Irradiance Forecasting


Embedding Decomposition for Artifacts Removal in EEG Signals


Embedding Directed Graphs in Potential Fields Using FastMap-D


Embedding Gradient-based Optimization in Image Registration Networks


Embedding Hallucination for Few-Shot Language Fine-tuning


Embedding Hidden Adversarial Capabilities in Pre-Trained Diffusion Models


Embedding Integer Lattices as Ideals into Polynomial Rings


Embedding Java Classes with code2vec: Improvements from Variable Obfuscation


Embedding Lexical Features via Low-Rank Tensors


Embedding Novel Views in a Single JPEG Image


Embedding Ontologies via Incorporating Extensional and Intensional Knowledge


Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting


Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study


Embedding Propagation: Smoother Manifold for Few-Shot Classification


Embedding Reservoirs in Industrial Models to Exploit their Flexibility


Embedding Style Beyond Topics: Analyzing Dispersion Effects Across Different Language Models


Embedding Symbolic Knowledge into Deep Networks


Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning


Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility


Embedding Watermarks into Deep Neural Networks


Embedding Words as Distributions with a Bayesian Skip-gram Model


Embedding Words in Non-Vector Space with Unsupervised Graph Learning


Embedding a Differentiable Mel-cepstral Synthesis Filter to a Neural Speech Synthesis System


Embedding an Ethical Mind: Aligning Text-to-Image Synthesis via Lightweight Value Optimization


Embedding and Extraction of Knowledge in Tree Ensemble Classifiers


Embedding in Recommender Systems: A Survey


Embedding of Functional Human Brain Networks on a Sphere


Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs


Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry


Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation


Embedding-based Music Emotion Recognition Using Composite Loss


Embedding-based Silhouette Community Detection


Embedding-based Zero-shot Retrieval through Query Generation


Embedding-based classifiers can detect prompt injection attacks


Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition


Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey


Ember-IO: Effective Firmware Fuzzing with Model-Free Memory Mapped IO


Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins


Emblaze: Illuminating Machine Learning Representations through Interactive Comparison of Embedding Spaces


Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning


Embodied BERT: A Transformer Model for Embodied, Language-guided Visual Task Completion


Embodied Image Quality Assessment for Robotic Intelligence


Embodied Intelligence via Learning and Evolution


Embodied LLM Agents Learn to Cooperate in Organized Teams


Embodied Manipulation with Past and Future Morphologies through an Open Parametric Hand Design


Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld


Embodied Synaptic Plasticity with Online Reinforcement learning


Embodied Task Planning with Large Language Models


Embodied Vision-and-Language Navigation with Dynamic Convolutional Filters


Embodied intelligent industrial robotics: Concepts and techniques


Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning


Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks


EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control


EmbodiedEval: Evaluate Multimodal LLMs as Embodied Agents


EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding


Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles


Embrace the Gap: VAEs Perform Independent Mechanism Analysis


Embracing AWKWARD! Real-time Adjustment of Reactive Plans Using Social Norms


Embracing Ambiguity: Shifting the Training Target of NLI Models


Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning


Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding


Embracing Data Incompleteness for Better Earthquake Forecasting


Embracing Dialectic Intersubjectivity: Coordination of Different Perspectives in Content Analysis with LLM Persona Simulation


Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAM


Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection


Embracing the black box: Heading towards foundation models for causal discovery from time series data


EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification


Emergence and Stability of Self-Evolved Cooperative Strategies using Stochastic Machines


Emergence in Multi-Agent Systems: A Safety Perspective


Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning


Emergence of Calabi-Yau manifolds in high-precision black hole scattering


Emergence of Collective Behaviors from Local Voronoi Topological Perception


Emergence of Communication in an Interactive World with Consistent Speakers


Emergence of Fluctuation Relations in UNO


Emergence of Functionally Differentiated Structures via Mutual Information Optimization in Recurrent Neural Networks


Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations


Emergence of Goal-Directed Behaviors via Active Inference with Self-Prior


Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space


Emergence of Hierarchy in Networked Endorsement Dynamics


Emergence of Human-Like Attention in Self-Supervised Vision Transformers: an eye-tracking study


Emergence of In-Context Reinforcement Learning from Noise Distillation


Emergence of Minkowski-Spacetime by Simple Deterministic Graph Rewriting


Emergence of Numeric Concepts in Multi-Agent Autonomous Communication


Emergence of Self-Identity in AI: A Mathematical Framework and Empirical Study with Generative Large Language Models


Emergence of Separable Manifolds in Deep Language Representations


Emergence of Social Norms in Generative Agent Societies: Principles and Architecture


Emergence of Structural Inequalities in Scientific Citation Networks


Emergence of a High-Dimensional Abstraction Phase in Language Transformers


Emergence of collective oscillations in adaptive cells


Emergence of cooperation promoted by higher-order strategy updates


Emergence of hierarchical reference systems in multi-agent communication


Emergence of metastability in frustrated oscillatory networks: the key role of hierarchical modularity


Emergence of network communities driven by local rules


Emergence of polarization in a sigmoidal bounded-confidence model of opinion dynamics


Emergence of psychopathological computations in large language models


Emergence of scaling in dockless bike-sharing systems


Emergence of sector and spiral patterns from a two-species mutualistic cross-feeding model


Emergence of sensory attenuation based upon the free-energy principle


Emergence of social hierarchies in a society with two competitive groups


Emergence of synchronised rotations in dense active matter with disorder


Emergence of the Primacy Effect in Structured State-Space Models


Emergence of universality in the transmission dynamics of COVID-19


Emergency Department Decision Support using Clinical Pseudo-notes


Emergency Incident Detection from Crowdsourced Waze Data using Bayesian Information Fusion


Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar


EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion


Emergenet: A Digital Twin of Sequence Evolution for Scalable Emergence Risk Assessment of Animal Influenza A Strains


Emergent Abilities in Reduced-Scale Generative Language Models


Emergent Analogical Reasoning in Large Language Models


Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions


Emergent Collective Reproduction via Evolving Neuronal Flocks


Emergent Communication Pretraining for Few-Shot Machine Translation


Emergent Communication in a Multi-Modal, Multi-Step Referential Game


Emergent Communication of Generalizations


Emergent Communication through Metropolis-Hastings Naming Game with Deep Generative Models


Emergent Communication under Competition


Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design


Emergent Complexity via Multi-Agent Competition


Emergent Coordination through Game-Induced Nonlinear Opinion Dynamics


Emergent Dominance Hierarchies in Reinforcement Learning Agents


Emergent Dynamics in Neural Cellular Automata


Emergent Energy Dissipation in Quantum Limit


Emergent Instabilities in Algorithmic Feedback Loops


Emergent LLM behaviors are observationally equivalent to data leakage


Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks


Emergent Linear Representations in World Models of Self-Supervised Sequence Models


Emergent Linguistic Structures in Neural Networks are Fragile


Emergent Modularity in Pre-trained Transformers


Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models


Emergent Potts Order in a Coupled Hexatic-Nematic XY model


Emergent Spatial Characteristics from Strategic Games Simulated on Random and Real Networks


Emergent Symbolic Mechanisms Support Abstract Reasoning in Large Language Models


Emergent Symbols through Binding in External Memory


Emergent Visual-Semantic Hierarchies in Image-Text Representations


Emergent Word Order Universals from Cognitively-Motivated Language Models


Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models


Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task


Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes


Emergent collective intelligence from massive-agent cooperation and competition


Emergent communication enhances foraging behaviour in evolved swarms controlled by Spiking Neural Networks


Emergent electrostatics in planar XY spin models: the bridge connecting topological order with broken $U(1)$ symmetry


Emergent entanglement structures and self-similarity in quantum spin chains


Emergent invariance and scaling properties in the collective return dynamics of a stock market


Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks


Emergent predictability in microbial ecosystems


Emergent representations in networks trained with the Forward-Forward algorithm


Emergent rheotaxis of shape-changing swimmers in Poiseuille flow


Emergent simulation of cell-like shapes satisfying the conditions of life using lattice-type multiset chemical model


Emergent symbolic language based deep medical image classification


Emergent vorticity asymmetry of one and two-layer shallow water system captured by a next-order balanced model


EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge


Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems


Emerging Convolutions for Generative Normalizing Flows


Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network


Emerging NeoHebbian Dynamics in Forward-Forward Learning: Implications for Neuromorphic Computing


Emerging contact force heterogeneity in ordered soft granular media


Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation


Emission Line Predictions for Mock Galaxy Catalogues: a New Differentiable and Empirical Mapping from DESI


Emission Signatures from Sub-parsec Binary Supermassive Black Holes III: Comparison of Models with Observations


Emissive cathode immersed in a plasma: plasma-cathode interactions, operation and stability


Emit As You Go: Enumerating Edges of a Spanning Tree


Emittance growth of kicked and mismatched beams due to amplitude-dependent tune shift


Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning


Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition


Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion


Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training


EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety


EmoAtt at EmoInt-2017: Inner attention sentence embedding for Emotion Intensity


EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa


EmoBench: Evaluating the Emotional Intelligence of Large Language Models


EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark


EmoBridge: Bridging the Communication Gap between Students with Disabilities and Peer Note-Takers Utilizing Emojis and Real-Time Sharing


EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition


EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics


EmoFace: Audio-driven Emotional 3D Face Animation


EmoFake: An Initial Dataset for Emotion Fake Audio Detection


EmoGator: A New Open Source Vocal Burst Dataset with Baseline Machine Learning Classification Methodologies


EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control


EmoLLM: Multimodal Emotional Understanding Meets Large Language Models


EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis


EmoMeta: A Multimodal Dataset for Fine-grained Emotion Classification in Chinese Metaphors


EmoMix-3L: A Code-Mixed Dataset for Bangla-English-Hindi Emotion Detection


EmoNet: A Transfer Learning Framework for Multi-Corpus Speech Emotion Recognition


EmoSpeech: Guiding FastSpeech2 Towards Emotional Text to Speech


EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech


EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning


EmoVLM-KD: Fusing Distilled Expertise with Vision-Language Models for Visual Emotion Analysis


EmoVOCA: Speech-Driven Emotional 3D Talking Heads


EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems


Emoji Attack: A Method for Misleading Judge LLMs in Safety Risk Detection


Emoji Prediction: Extensions and Benchmarking


Emoji-Based Transfer Learning for Sentiment Tasks


Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification


EmojiHeroVR: A Study on Facial Expression Recognition under Partial Occlusion from Head-Mounted Displays


EmojiLM: Modeling the New Emoji Language


EmojiVoice: Towards long-term controllable expressivity in robot speech


Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit


Emora STDM: A Versatile Framework for Innovative Dialogue System Development


Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions


Emotion Detection From Tweets Using a BERT and SVM Ensemble Model


Emotion Detection in Text: Focusing on Latent Representation


Emotion Embedding Spaces for Matching Music to Stories


Emotion Prediction Oriented method with Multiple Supervisions for Emotion-Cause Pair Extraction


Emotion Recognition From Speech With Recurrent Neural Networks


Emotion Recognition Using Transformers with Masked Learning


Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings


Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for Singers


Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling


Emotion Transfer Using Vector-Valued Infinite Task Learning


Emotion Twenty Questions Dialog System for Lexical Emotional Intelligence


Emotion Understanding in Videos Through Body, Context, and Visual-Semantic Embedding Loss


Emotion and Intent Joint Understanding in Multimodal Conversation: A Benchmarking Dataset


Emotion estimation from video footage with LSTM


Emotion recognition in talking-face videos using persistent entropy and neural networks


Emotion-Aligned Contrastive Learning Between Images and Music


Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation


Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech


Emotion-Aware Transformer Encoder for Empathetic Dialogue Generation


Emotion-Based End-to-End Matching Between Image and Music in Valence-Arousal Space


Emotion-Driven Melody Harmonization via Melodic Variation and Functional Representation


Emotion-Guided Music Accompaniment Generation Based on Variational Autoencoder


Emotion-Qwen: Training Hybrid Experts for Unified Emotion and General Vision-Language Understanding


Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content


Emotion-aware Personalized Music Recommendation with a Heterogeneity-aware Deep Bayesian Network


Emotion4MIDI: a Lyrics-based Emotion-Labeled Symbolic Music Dataset


EmotionGesture: Audio-Driven Diverse Emotional Co-Speech 3D Gesture Generation


EmotionHallucer: Evaluating Emotion Hallucinations in Multimodal Large Language Models


EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation


EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations


EmotionX-KU: BERT-Max based Contextual Emotion Classifier


Emotional Brain State Classification on fMRI Data Using Deep Residual and Convolutional Networks


Emotional Conversation Generation with Heterogeneous Graph Neural Network


Emotional End-to-End Neural Speech Synthesizer


Emotional Neural Language Generation Grounded in Situational Contexts


Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval


Emotional Speech Recognition with Pre-trained Deep Visual Models


Emotional Video to Audio Transformation Using Deep Recurrent Neural Networks and a Neuro-Fuzzy System


Emotional Vietnamese Speech-Based Depression Diagnosis Using Dynamic Attention Mechanism


Emotionally Enhanced Talking Face Generation


Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench


Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants


EmpHi: Generating Empathetic Responses with Human-like Intents


EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems


Empathetic Dialog Generation with Fine-Grained Intents


Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection


Empathetic Response Generation with State Management


Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents


Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods


Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation


Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics


EmpathyAgent: Can Embodied Agents Conduct Empathetic Actions?


EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot


Empc: Effective Path Prioritization for Symbolic Execution with Path Cover


EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models


EmphasisChecker: A Tool for Guiding Chart and Caption Emphasis


Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation


Emphasized Non-Target Speaker Knowledge in Knowledge Distillation for Automatic Speaker Verification


Emphasizing Crucial Features for Efficient Image Restoration


Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios


Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks


Empirical Advocacy of Bio-inspired Models for Robust Image Recognition


Empirical Analysis Of Heuristic and Approximation Algorithms for the The Mutual-Visibility Problem


Empirical Analysis of Bi-directional Wi-Fi Network Performance on Mobile Robots in Indoor Environments


Empirical Analysis of Foundational Distinctions in Linked Open Data


Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation


Empirical Analysis of Pull Requests for Google Summer of Code


Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems


Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition


Empirical Analysis of the AdaBoost's Error Bound


Empirical Asset Pricing with Large Language Model Agents


Empirical Bayes Multistage Testing for Large-Scale Experiments


Empirical Bayes Transductive Meta-Learning with Synthetic Gradients


Empirical Bayes When Estimation Precision Predicts Parameters


Empirical Bayes estimation via data fission


Empirical Bayes factors for common hypothesis tests


Empirical Constraints on Core Collapse Supernova Yields using Very Metal Poor Damped Lyman Alpha Absorbers


Empirical Constraints on Tidal Dissipation in Exoplanet Host Stars


Empirical Demonstration of Quantum Contextuality on NISQ Computers


Empirical Error Estimates for Graph Sparsification


Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling


Empirical Evaluation of ChatGPT on Requirements Information Retrieval Under Zero-Shot Setting


Empirical Evaluation of Four Tensor Decomposition Algorithms


Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality


Empirical Evaluation of Sequence-to-Sequence Models for Word Discovery in Low-resource Settings


Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model


Empirical Evidence for the Fragment level Understanding on Drug Molecular Structure of LLMs


Empirical Individual State Observability


Empirical Investigation of Neural Symbolic Reasoning Strategies


Empirical Likelihood Inference for Area under the ROC Curve using Ranked Set Samples


Empirical Likelihood for Contextual Bandits


Empirical Loss Landscape Analysis of Neural Network Activation Functions


Empirical Methodology for Crowdsourcing Ground Truth


Empirical Models for the Realistic Generation of Cooperative Awareness Messages in Vehicular Networks


Empirical Power Analysis of a Statistical Test to Quantify Gerrymandering


Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data


Empirical Sampling of Connected Graph Partitions for Redistricting


Empirical Standards for Software Engineering Research


Empirical Studies of Parameter Efficient Methods for Large Language Models of Code and Knowledge Transfer to R


Empirical Study of Dynamic Regret in Online Model Predictive Control for Linear Time-Varying Systems


Empirical Study of Mix-based Data Augmentation Methods in Physiological Time Series Data


Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task


Empirical Study of PEFT techniques for Winter Wheat Segmentation


Empirical Study of Text Augmentation on Social Media Text in Vietnamese


Empirical Study of Zero-Shot NER with ChatGPT


Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models


Empirical Study of the Docker Smells Impact on the Image Size


Empirical Study on Optimizer Selection for Out-of-Distribution Generalization


Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers


Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures


Empirical Survival Jensen-Shannon Divergence as a Goodness-of-Fit Measure for Maximum Likelihood Estimation and Curve Fitting


Empirical Time Complexity of Generic Dijkstra Algorithm


Empirical analysis and agent-based modeling of Lithuanian parliamentary elections


Empirical and computer-aided robustness analysis of long-step and accelerated methods in smooth convex optimization


Empirical bias-reducing adjustments to estimating functions


Empirical estimates of the Galactic halo contribution to the dispersion measures of extragalactic fast radio bursts using X-ray absorption


Empirical fits to inclusive electron-carbon scattering data obtained by deep-learning methods


Empirical investigation of multi-source cross-validation in clinical ECG classification


Empirical investigations on WVA structural issues


Empirical likelihood approach for high-dimensional moment restrictions with dependent data


Empirical likelihood for generalized smoothly trimmed mean


Empirical or Invariant Risk Minimization? A Sample Complexity Perspective


Empirical partially Bayes multiple testing and compound $χ^2$ decisions


Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics


Empirical sparse regression on quadratic manifolds


Empirical study of the modulus as activation function in computer vision applications


Empirical temperature- and extinction-dependent extinction coefficients for the GALEX, Pan-STARRS1, Gaia, SDSS, 2MASS, and WISE passbands


Empirically Analyzing Ethereum's Gas Mechanism


Empirically Exploring the Space of Monostationarity in Dual Phosphorylation


Empirically estimating the distribution of the loudest candidate from a gravitational-wave search


Empirically explaining SGD from a line search perspective


Employing Crowdsourcing for Enriching a Music Knowledge Base in Higher Education


Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition


Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain


Employing self-supervised learning models for cross-linguistic child speech maturity classification


Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training


Empower Entity Set Expansion via Language Model Probing


Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering


Empower Nested Boolean Logic via Self-Supervised Curriculum Learning


Empower Your Model with Longer and Better Context Comprehension


Empowering AIOps: Leveraging Large Language Models for IT Operations Management


Empowering Active Learning to Jointly Optimize System and User Demands


Empowering Agile-Based Generative Software Development through Human-AI Teamwork


Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities


Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications


Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations


Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss


Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity


Empowering Cross-lingual Behavioral Testing of NLP Models with Typological Features


Empowering Data Mesh with Federated Learning


Empowering Diffusion Models on the Embedding Space for Text Generation


Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery


Empowering Few-Shot Recommender Systems with Large Language Models -- Enhanced Representations


Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models


Empowering Graph Invariance Learning with Deep Spurious Infomax


Empowering Graph Representation Learning with Test-Time Graph Transformation


Empowering Iterative Graph Alignment Using Heat Diffusion


Empowering Language Understanding with Counterfactual Reasoning


Empowering Large Language Model Agents through Action Learning


Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting


Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning


Empowering Low-Light Image Enhancer through Customized Learnable Priors


Empowering Machines to Think Like Chemists: Unveiling Molecular Structure-Polarity Relationships with Hierarchical Symbolic Regression


Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models


Empowering Multi-class Classification for Complex Functional Data with Simultaneous Feature Selection


Empowering NLG: Offline Reinforcement Learning for Informal Summarization in Online Domains


Empowering News Recommendation with Pre-trained Language Models


Empowering Persian LLMs for Instruction Following: A Novel Dataset and Training Approach


Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences


Empowering Robot Path Planning with Large Language Models: osmAG Map Topology & Hierarchy Comprehension with LLMs


Empowering Scientific Workflows with Federated Agents


Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness


Empowering Sign Language Communication: Integrating Sentiment and Semantics for Facial Expression Synthesis


Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning


Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility


Empowering WebAssembly with Thin Kernel Interfaces


Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning


Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter


Empowering the Quantum Cloud User with QRIO


Empowerment-driven Exploration using Mutual Information Estimation


Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space


Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM


Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization


EmuFog: Extensible and Scalable Emulation of Large-Scale Fog Computing Infrastructures


Emulating Clinical Quality Muscle B-mode Ultrasound Images from Plane Wave Images Using a Two-Stage Machine Learning Model


Emulating Fast Processes in Climate Models


Emulating Human Developmental Stages with Bayesian Neural Networks


Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation


Emulating Radiative Transfer with Artificial Neural Networks


Emulating Recombination with Neural Networks using Universal Differential Equations


Emulating Self-attention with Convolution for Efficient Image Super-Resolution


Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models


Emulating UAV Motion by Utilizing Robotic Arm for mmWave Wireless Channel Characterization


Emulating an Atomic Gyroscope with Multiple Accelerometers


Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flows


Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior


Emulating satellite drag from large simulation experiments


Emulating the Non-Linear Matter Power-Spectrum in Mixed Axion Dark Matter Models


Emulation of baryonic effects on the matter power spectrum and constraints from galaxy cluster data


Emulation of greenhouse-gas sensitivities using variational autoencoders


Emulation of physical processes with Emukit


En masse scanning and automated surfacing of small objects using Micro-CT


EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains


EnD: Entangling and Disentangling deep representations for bias correction


EnDex: Evaluation of Dialogue Engagingness at Scale


EnK: Encoding time-information in convolution


EnQuery: Ensemble Policies for Diverse Query-Generation in Preference Alignment of Robot Navigation


EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance


EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees


Enable Natural Tactile Interaction for Robot Dog based on Large-format Distributed Flexible Pressure Sensors


Enable Time-Sensitive Applications in Kubernetes with Container Network Interface Plugin Agnostic Metadata Proxy


Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging


Enablers and Barriers of Empathy in Software Developer and User Interaction: A Mixed Methods Case Study


Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity


Enabling Advanced Land Cover Analytics: An Integrated Data Extraction Pipeline for Predictive Modeling with the Dynamic World Dataset


Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis


Enabling Binary Neural Network Training on the Edge


Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows


Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence


Enabling Competitive Performance of Medical Imaging with Diffusion Model-generated Images without Privacy Leakage


Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection


Enabling Country-Scale Land Cover Mapping with Meter-Resolution Satellite Imagery


Enabling Data Dependency-based Query Optimization


Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training


Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation


Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction


Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence


Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products


Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-AD


Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams


Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models


Enabling Elastic Model Serving with MultiWorld


Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining


Enabling Failure-resilient Intermittent Systems Without Runtime Checkpointing


Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization


Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation


Enabling Inverse Design in Chemical Compound Space: Mapping Quantum Properties to Structures for Small Organic Molecules


Enabling LLM Knowledge Analysis via Extensive Materialization


Enabling Large Language Models to Generate Text with Citations


Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators


Enabling Local Neural Operators to perform Equation-Free System-Level Analysis


Enabling Long-term Fairness in Dynamic Resource Allocation


Enabling Low-Cost Secure Computing on Untrusted In-Memory Architectures


Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO


Enabling Mixed Effects Neural Networks for Diverse, Clustered Data Using Monte Carlo Methods


Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition


Enabling Novel Mission Operations and Interactions with ROSA: The Robot Operating System Agent


Enabling Patient-side Disease Prediction via the Integration of Patient Narratives


Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning


Enabling RAN Slicing Through Carrier Aggregation in mmWave Cellular Networks


Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action Review


Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference


Enabling Scalable Evaluation of Bias Patterns in Medical LLMs


Enabling Stateful Behaviors for Diffusion-based Policy Learning


Enabling Systematic Generalization in Abstract Spatial Reasoning through Meta-Learning for Compositionality


Enabling Uncertainty Estimation in Iterative Neural Networks


Enabling Viewpoint Learning through Dynamic Label Generation


Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap


Enabling and Exploiting Partition-Level Parallelism (PALP) in Phase Change Memories


Enabling catalog simulations of transient and variable sources based on LSST cadence strategies


Enabling discovery of solar system objects in large alert data streams


Enabling hyperparameter optimization in sequential autoencoders for spiking neural data


Enabling knowledge discovery in natural hazard engineering datasets on DesignSafe


Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments


Enabling particle applications for exascale computing platforms


Enabling predictable parallelism in single-GPU systems with persistent CUDA threads


Enabling robust offline active learning for machine learning potentials using simple physics-based priors


Enabling self-identification in intelligent agent: insights from computational psychoanalysis


Enabling self-verifiable mutable content items in IPFS using Decentralized Identifiers


Enabling stratified sampling in high dimensions via nonlinear dimensionality reduction


Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization


Enabling the Sense of Self in a Dual-Arm Robot


Enabling the discovery of fast transients: A kilonova science module for the Fink broker


Encapsulation Structure and Dynamics in Hypergraphs


EnchantDance: Unveiling the Potential of Music-Driven Dance Movement


Encoded Prior Sliced Wasserstein AutoEncoder for learning latent manifold representations


Encoder-Agnostic Adaptation for Conditional Language Generation


Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation


Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction


Encoder-Decoder Shift-Reduce Syntactic Parsing


Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation


Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation


Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition


Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network


Encoding Cryptographic Functions to SAT Using Transalg System


Encoding DNA sequences by integer chaos game representation


Encoding Domain Information with Sparse Priors for Inferring Explainable Latent Variables


Encoding Domain Knowledge in Multi-view Latent Variable Models: A Bayesian Approach with Structured Sparsity


Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection


Encoding Markov Logic Networks in Possibilistic Logic


Encoding Matching Criteria for Cross-domain Deformable Image Registration


Encoding Multi-Domain Scientific Papers by Ensembling Multiple CLS Tokens


Encoding Node Diffusion Competence and Role Significance for Network Dismantling


Encoding Spatial Relations from Natural Language


Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images


Encoding Version History Context for Better Code Representation


Encoding Video and Label Priors for Multi-label Video Classification on YouTube-8M dataset


Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses


Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment


Encoding and Controlling Global Semantics for Long-form Video Question Answering


Encoding and Selecting Coarse-Grain Mapping Operators with Hierarchical Graphs


Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas


Encoding high-cardinality string categorical variables


Encoding large information structures in linear algebra and statistical models


Encoding of phonology in a recurrent neural model of grounded speech


Encoding protein dynamic information in graph representation for functional residue identification


Encoding word order in complex embeddings


EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration


Encodings for Prediction-based Neural Architecture Search


Encounter networks from collective mitochondrial dynamics support the emergence of effective mtDNA genomes in plant cells


Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective


EncryptGAN: Image Steganography with Domain Transform


Encrypted machine learning of molecular quantum properties


Encryption without Centralization: Distributing DNS Queries Across Recursive Resolvers


End to End Lip Synchronization with a Temporal AutoEncoder


End to End Software Engineering Research


End to End Trainable Active Contours via Differentiable Rendering


End to End Verification and Validation with SPIN


End to end learning and optimization on graphs


End-2-End COVID-19 Detection from Breath & Cough Audio


End-Task Oriented Textual Entailment via Deep Explorations of Inter-Sentence Interactions


End-To-End Deep Learning-based Adaptation Control for Linear Acoustic Echo Cancellation


End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization


End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers


End-To-End Speech Recognition Using A High Rank LSTM-CTC Based Model


End-To-End Underwater Video Enhancement: Dataset and Model


End-User Programming of Low- and High-Level Actions for Robotic Task Planning


End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences


End-to-End Affordance Learning for Robotic Manipulation


End-to-End Analysis Automation over Distributed Resources with Luigi Analysis Workflows


End-to-End Argument Mining over Varying Rhetorical Structures


End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network


End-to-End Autonomous Driving through V2X Cooperation


End-to-End Beam Retrieval for Multi-Hop Question Answering


End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks


End-to-End Conformal Calibration for Optimization Under Uncertainty


End-to-End Content and Plan Selection for Data-to-Text Generation


End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework


End-to-End Dense Video Captioning with Parallel Decoding


End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images


End-to-End Driving with Online Trajectory Evaluation via BEV World Model


End-to-End Entity Detection with Proposer and Regressor


End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things


End-to-End Face Parsing via Interlinked Convolutional Neural Networks


End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning


End-to-End Framework for Efficient Deep Learning Using Metasurfaces Optics


End-to-End Full-Page Optical Music Recognition for Pianoform Sheet Music


End-to-End Human Object Interaction Detection with HOI Transformer


End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems


End-to-End Human Pose and Mesh Reconstruction with Transformers


End-to-End Image-Based Fashion Recommendation


End-to-End Imitation Learning with Safety Guarantees using Control Barrier Functions


End-to-End Implicit Neural Representations for Classification


End-to-End Information Extraction by Character-Level Embedding and Multi-Stage Attentional U-Net


End-to-End Information Extraction without Token-Level Supervision


End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager


End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis


End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization


End-to-End Learned Random Walker for Seeded Image Segmentation


End-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result


End-to-End Learning for Stochastic Optimization: A Bayesian Perspective


End-to-End Learning from Complex Multigraphs with Latent-Graph Convolutional Networks


End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic


End-to-End Learning of Flowchart Grounded Task-Oriented Dialogs


End-to-End Learning of Probabilistic Constellation Shaping through Importance Sampling


End-to-End Learning of Representations for Asynchronous Event-Based Data


End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems


End-to-End Learning on 3D Protein Structure for Interface Prediction


End-to-End Learning to Grasp via Sampling from Object Point Clouds


End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes


End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances


End-to-End Multi-Tab Website Fingerprinting Attack: A Detection Perspective


End-to-End Multi-Task Learning with Attention


End-to-End Multi-Track Reconstruction using Graph Neural Networks at Belle II


End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models


End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-Answering


End-to-End Neural Discourse Deixis Resolution in Dialogue


End-to-End Neural Event Coreference Resolution


End-to-End Neural Network Training for Hyperbox-Based Classification


End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations


End-to-End Object Detection with Fully Convolutional Network


End-to-End Ontology Learning with Large Language Models


End-to-End Optical Character Recognition for Bengali Handwritten Words


End-to-End Optimization of Metasurfaces for Imaging with Compressed Sensing


End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices


End-to-End Page-Level Assessment of Handwritten Text Recognition


End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks


End-to-End Protocol for High-Quality QAOA Parameters with Few Shots


End-to-End Rate-Distortion Optimized 3D Gaussian Representation


End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding


End-to-End Referring Video Object Segmentation with Multimodal Transformers


End-to-End Reinforcement Learning for Automatic Taxonomy Induction


End-to-End Reinforcement Learning for Torque Based Variable Height Hopping


End-to-End Rubbing Restoration Using Generative Adversarial Networks


End-to-End Saliency Mapping via Probability Distribution Prediction


End-to-End Security for Distributed Event-Driven Enclave Applications on Heterogeneous TEEs


End-to-End Semantic Video Transformer for Zero-Shot Action Recognition


End-to-End Semi-Supervised Learning for Video Action Detection


End-to-End Semi-Supervised Object Detection with Soft Teacher


End-to-End Sequential Sampling and Reconstruction for MRI


End-to-End Simultaneous Speech Translation with Differentiable Segmentation


End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation


End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection


End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive Envelopes


End-to-End Speech Recognition and Disfluency Removal with Acoustic Language Model Pretraining


End-to-End Speech Recognition from Federated Acoustic Models


End-to-End Speech Translation for Code Switched Speech


End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021


End-to-End Stochastic Optimization with Energy-Based Model


End-to-End Supervised Multilabel Contrastive Learning


End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management


End-to-End Trainable Non-Collaborative Dialog System


End-to-End Training for Back-Translation with Categorical Reparameterization Trick


End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering


End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps


End-to-End Transformer Based Model for Image Captioning


End-to-End Verifiable Decentralized Federated Learning


End-to-End Video Captioning with Multitask Reinforcement Learning


End-to-End Video Question-Answer Generation with Generator-Pretester Network


End-to-End Video Text Spotting with Transformer


End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation


End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions


End-to-end AI framework for interpretable prediction of molecular and crystal properties


End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking


End-to-end Alternating Optimization for Real-World Blind Super Resolution


End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation


End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning


End-to-end Autonomous Driving: Challenges and Frontiers


End-to-end Conversation Modeling Track in DSTC6


End-to-end Convolutional Network for Saliency Prediction


End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images


End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning


End-to-end Differentiable Clustering with Associative Memories


End-to-end Document Recognition and Understanding with Dessurt


End-to-end Domain-Adversarial Voice Activity Detection


End-to-end Feature Selection Approach for Learning Skinny Trees


End-to-end GPU acceleration of low-order-refined preconditioning for high-order finite element discretizations


End-to-end Generative Floor-plan and Layout with Attributes and Relation Graph


End-to-end Generative Zero-shot Learning via Few-shot Learning


End-to-end Graph-based TAG Parsing with Neural Networks


End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network


End-to-end Interpretable Learning of Non-blind Image Deblurring


End-to-end Kernel Learning via Generative Random Fourier Features


End-to-end Keyword Spotting using Xception-1d


End-to-end Lane Detection through Differentiable Least-Squares Fitting


End-to-end Learnable Clustering for Intent Learning in Recommendation


End-to-end Learning of Convolutional Neural Net and Dynamic Programming for Left Ventricle Segmentation


End-to-end Learning of Image based Lane-Change Decision


End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture


End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition


End-to-end Malaria Diagnosis and 3D Cell Rendering with Deep Learning


End-to-end Multi-modal Video Temporal Grounding


End-to-end Multiple Instance Learning with Gradient Accumulation


End-to-end Music Remastering System Using Self-supervised and Adversarial Training


End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models


End-to-end Network for Twitter Geolocation Prediction and Hashing


End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search


End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities


End-to-end Piano Performance-MIDI to Score Conversion with Transformers


End-to-end Projector Photometric Compensation


End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks


End-to-end Semantic Role Labeling with Neural Transition-based Model


End-to-end Sleep Staging with Raw Single Channel EEG using Deep Residual ConvNets


End-to-end Speech Translation via Cross-modal Progressive Training


End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence


End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion


End-to-end Temporal Action Detection with Transformer


End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization


End-to-end Ultrasound Frame to Volume Registration


End-to-end Video Gaze Estimation via Capturing Head-face-eye Spatial-temporal Interaction Context


End-to-end Video-level Representation Learning for Action Recognition


End-to-end Weakly-supervised Single-stage Multiple 3D Hand Mesh Reconstruction from a Single RGB Image


End-to-end deep multi-score model for No-reference stereoscopic image quality assessment


End-to-end detection-segmentation network with ROI convolution


End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning


End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data


End-to-end learning for music audio tagging at scale


End-to-end localized deep learning for Cryo-ET


End-to-end neural network approach to 3D reservoir simulation and adaptation


End-to-end neural relation extraction using deep biaffine attention


End-to-end optimized image compression with competition of prior distributions


End-to-end reconstruction meets data-driven regularization for inverse problems


End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation


End-to-end simulation of particle physics events with Flow Matching and generator Oversampling


End-to-end speaker segmentation for overlap-aware resegmentation


End-to-end symbolic regression with transformers


End-to-end trainable network for degraded license plate detection via vehicle-plate relation mining


End-to-end training of Multimodal Model and ranking Model


End-to-end video instance segmentation via spatial-temporal graph neural networks


End2End Occluded Face Recognition by Masking Corrupted Features


End2You -- The Imperial Toolkit for Multimodal Profiling by End-to-End Learning


EndHiC: assemble large contigs into chromosomal-level scaffolds using the Hi-C links from contig ends


EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing


Endangered Alert: A Field-Validated Self-Training Scheme for Detecting and Protecting Threatened Wildlife on Roads and Roadsides


Endemic infectious states below the epidemic threshold and beyond herd immunity


Endmember Extraction from Hyperspectral Images Using Self-Dictionary Approach with Linear Programming


Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing


Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos using Depth Networks and Photometric Constraints


EndoChat: Grounded Multimodal Large Language Model for Endoscopic Surgery


EndoDAC: Efficient Adapting Foundation Model for Self-Supervised Depth Estimation from Any Endoscopic Camera


EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction