EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets


EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View


EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading


Earning Extra Performance from Restrictive Feedbacks


Earth Mover's Distance as a metric to evaluate the extent of charge transfer in excitations using discretized real-space densities


Earth Shielding and Daily Modulation from Electrophilic Boosted Dark Particles


Earth mover's distance as a measure of CP violation


Earth system modeling with endogenous and dynamic human societies: the copan:CORE open World-Earth modeling framework


Earth-Catalyzed Detection of Magnetic Inelastic Dark Matter with Photons in Large Underground Detectors


Earth-like exoplanets in spin-orbit resonances: climate dynamics, 3D atmospheric chemistry, and observational signatures


EarthGAN: Can we visualize the Earth's mantle convection using a surrogate model?


EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain


EarthGen: Generating the World from Top-Down Views


EarthLoc: Astronaut Photography Localization by Indexing Earth from Space


EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing


EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut Photography


EarthPT: a time series foundation model for Earth Observation


EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis


EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering


Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model


Earthformer: Exploring Space-Time Transformers for Earth System Forecasting


Earthmover-based manifold learning for analyzing molecular conformation spaces


Earthquake Declustering Using Supervised Machine Learning


Earthquake Phase Association using a Bayesian Gaussian Mixture Model


Ease-of-Teaching and Language Structure from Emergent Communication


Easi3R: Estimating Disentangled Motion from DUSt3R Without Training


EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology


Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale


Easily Computed Marginal Likelihoods for Multivariate Mixture Models Using the THAMES Estimator


Easing Color Shifts in Score-Based Diffusion Models


Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks


Easing the Conscience with OPC UA: An Internet-Wide Study on Insecure Deployments


Easter2.0: Improving convolutional models for handwritten text recognition


Easy Adaptation to Mitigate Gender Bias in Multilingual Text Classification


Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition


Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation


Easy Variational Inference for Categorical Models via an Independent Binary Approximation


Easy and Efficient Transformer : Scalable Inference Solution For large NLP model


Easy and structured approach for software and firmware co-simulation for bus centric designs


Easy asteroid phase curve fitting for the Python ecosystem: Pyedra


Easy method to establish the dispersion relation of capillary waves on water jets


Easy over Hard: A Case Study on Deep Learning


Easy to Fool? Testing the Anti-evasion Capabilities of PDF Malware Scanners


Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision


Easy-to-Hard Learning for Information Extraction


EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture


EasyCom: An Augmented Reality Dataset to Support Algorithms for Easy Communication in Noisy Environments


EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning


EasyDRAM: An FPGA-based Infrastructure for Fast and Accurate End-to-End Evaluation of Emerging DRAM Techniques


EasyFL: A Low-code Federated Learning Platform For Dummies


EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs


EasyHOI: Unleashing the Power of Large Models for Reconstructing Hand-Object Interactions in the Wild


EasyInv: Toward Fast and Better DDIM Inversion


EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models


EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMs


EasyMLServe: Easy Deployment of REST Machine Learning Services


EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text


EasyPBR: A Lightweight Physically-Based Renderer


EasyPortrait -- Face Parsing and Portrait Segmentation Dataset


EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations


EasyST: A Simple Framework for Spatio-Temporal Prediction


EasyScan_HEP: a tool for connecting programs to scan the parameter space of physics models


EasyText: Controllable Diffusion Transformer for Multilingual Text Rendering


EasyVolcap: Accelerating Neural Volumetric Video Research


Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network with Attention


Ebb-and-Flow Protocols: A Resolution of the Availability-Finality Dilemma


Eccentric Binary Neutron Star Search Prospects for Cosmic Explorer


Eccentric debris belts reveal the dynamical history of the companion exoplanet


Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining


Echo chamber formation sharpened by priority users


Echo-SyncNet: Self-supervised Cardiac View Synchronization in Echocardiography


Echo-aware Adaptation of Sound Event Localization and Detection in Unknown Environments


EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography


EchoDFKD: Data-Free Knowledge Distillation for Cardiac Ultrasound Segmentation using Synthetic Data


EchoFM: Foundation Model for Generalizable Echocardiogram Analysis


EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms


EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks


EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning


EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential Recommendation


EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditions


EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation


EchoNarrator: Generating natural text explanations for ejection fraction predictions


EchoNet-Quality: Denoising Echocardiograms via Deep Generative Modeling of Ultrasound Noise


EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data Sharing


EchoONE: Segmenting Multiple echocardiography Planes in One Model


EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning


EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving


EchoVPR: Echo State Networks for Visual Place Recognition


EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance


Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion


Echoes from Alexandria: A Large Resource for Multilingual Book Summarization


Echoes of Disagreement: Measuring Disparity in Social Consensus


Echoes of Persuasion: The Effect of Euphony in Persuasive Communication


Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning


Echoes through Time: Evolution of the Italian COVID-19 Vaccination Debate


Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber


Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams


Eclares: Energy-Aware Clarity-Driven Ergodic Search


Eco-Aware Graph Neural Networks for Sustainable Recommendations


Eco-PiNN: A Physics-informed Neural Network for Eco-toll Estimation


Eco-driving Accounting for Interactive Cut-in Vehicles


Eco-evolutionary Dynamics of Non-episodic Neuroevolution in Large Multi-agent Environments


Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI


EcoAssistant: Using LLM Assistant More Affordably and Accurately


EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning


EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators


EcoFormer: Energy-Saving Attention with Linear Complexity


EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation


EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models


EcoVerse: An Annotated Twitter Dataset for Eco-Relevance Classification, Environmental Impact Analysis, and Stance Detection


Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers


Ecole: A Library for Learning Inside MILP Solvers


Ecologically Valid Explanations for Label Variation in NLI


EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce


EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities


EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning


EconNLI: Evaluating Large Language Models on Economics Reasoning


EconoJax: A Fast & Scalable Economic Simulation in Jax


Econometric Inference for High Dimensional Predictive Regressions


Economic effects of Chile FTAs and an eventual CTPP accession


Economic span selection of bridge based on deep reinforcement learning


Economical Quaternion Extraction from a Human Skeletal Pose Estimate using 2-D Cameras


Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality


Economy Watchers Survey Provides Datasets and Tasks for Japanese Financial Domain


Ecosystems are showing symptoms of resilience loss


EdNet: A Large-Scale Hierarchical Dataset in Education


EdSr: A Novel End-to-End Approach for State-Space Sampling in Molecular Dynamics Simulation


EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders


EdaCSC: Two Easy Data Augmentation Methods for Chinese Spelling Correction


EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies


Edge (of the Earth) Replication: Optimizing Content Delivery in Large LEO Satellite Communication Networks


Edge AI-Based Vein Detector for Efficient Venipuncture in the Antecubital Fossa


Edge Attention-based Multi-Relational Graph Convolutional Networks


Edge Augmentation for Large-Scale Sketch Recognition without Sketches


Edge Classification on Graphs: New Directions in Topological Imbalance


Edge Computing in Low-Earth Orbit -- What Could Possibly Go Wrong?


Edge Deep Learning Model Protection via Neuron Authorization


Edge Directionality Improves Learning on Heterophilic Graphs


Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning


Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis


Edge Learning Based Collaborative Automatic Modulation Classification for Hierarchical Cognitive Radio Networks


Edge Minimizing the Student Conflict Graph


Edge Representation Learning with Hypergraphs


Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices


Edge and Identity Preserving Network for Face Super-Resolution


Edge exchangeable models for network data


Edge expansion of a graph: SDP-based computational strategies


Edge interventions can mitigate demographic and prestige disparities in the Computer Science coauthorship network


Edge state dynamics along curved interfaces


Edge-Aware Mirror Network for Camouflaged Object Detection


Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI


Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges


Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network


Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception


Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT Navigation


Edge-Enhanced Dilated Residual Attention Network for Multimodal Medical Image Fusion


Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation


Edge-Informed Single Image Super-Resolution


Edge-Labeling based Directed Gated Graph Network for Few-shot Learning


Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-level Sparsity via Mixture-of-Experts


Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach


Edge-Splitting MLP: Node Classification on Homophilic and Heterophilic Graphs without Message Passing


Edge-aware Graph Representation Learning and Reasoning for Face Parsing


Edge-aware Hard Clustering Graph Pooling for Brain Imaging


Edge-based Local Push for Personalized PageRank


Edge-based sequential graph generation with recurrent neural networks


Edge-competing Pathological Liver Vessel Segmentation with Limited Labels


Edge-enhanced Feature Distillation Network for Efficient Super-Resolution


Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels


Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-Resolution


Edge-similarity-aware Graph Neural Networks


EdgeAI Drone for Autonomous Construction Site Demonstrator


EdgeAISim: A Toolkit for Simulation and Modelling of AI Models in Edge Computing Environments


EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation


EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing


EdgeCodec: Onboard Lightweight High Fidelity Neural Compressor with Residual Vector Quantization


EdgeFool: An Adversarial Image Enhancement Filter


EdgeGaussians -- 3D Edge Mapping via Gaussian Splatting


EdgeKV: Decentralized, scalable, and consistent storage for the edge


EdgeLens: Deep Learning based Object Detection in Integrated IoT, Fog and Cloud Computing Environments


EdgeNAT: Transformer for Efficient Edge Detection


EdgeNet: A novel approach for Arabic numeral classification


EdgeNet: Semantic Scene Completion from a Single RGB-D Image


EdgeProfiler: A Fast Profiling Framework for Lightweight LLMs on Edge Using Analytical Model


EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge


EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point Clouds


EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM


EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers


EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions


EdgeYOLO: An Edge-Real-Time Object Detector


Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks


Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes


Edgewise outliers of network indexed signals


Edgeworth expansions for network moments


EdiBERT, a generative model for image editing


EdiTTS: Score-based Editing for Controllable Text-to-Speech


Edicho: Consistent Image Editing in the Wild


Edisum: Summarizing and Explaining Wikipedia Edits at Scale


Edit As You Wish: Video Caption Editing with Multi-grained User Control


Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing


Edit Distances and Their Applications to Downstream Tasks in Research and Commercial Contexts


Edit Everything: A Text-Guided Generative System for Images Editing


Edit Temporal-Consistent Videos with Image Diffusion Model


Edit-Constrained Decoding for Sentence Simplification


EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models


EditCLIP: Representation Learning for Image Editing


EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing


EditWorld: Simulating World Dynamics for Instruction-Following Image Editing


Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents


Editable Stain Transformation Of Histological Images Using Unpaired GANs


Editable User Profiles for Controllable Text Recommendation


Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models


Editing Factual Knowledge in Language Models


Editing Implicit Assumptions in Text-to-Image Diffusion Models


Editing Language Model-based Knowledge Graph Embeddings


Editing Massive Concepts in Text-to-Image Diffusion Models


Editing Mesh Sequences with Varying Connectivity


Editing Out-of-domain GAN Inversion via Differential Activations


Editing a classifier by rewriting its prediction rules


Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models


Edu-ConvoKit: An Open-Source Library for Education Conversation Data


EduAgent: Generative Student Agents in Learning


EduBal: An open balancing robot platform for teaching control and system theory


EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios


EduCOR: An Educational and Career-Oriented Recommendation Ontology


EduCoder: An Open-Source Annotation System for Education Transcript Data


EduGym: An Environment and Notebook Suite for Reinforcement Learning Education


EduNLP: Towards a Unified and Modularized Library for Educational Resources


EduSAT: A Pedagogical Tool for Theory and Applications of Boolean Satisfiability


Educational Intervention Re-Wires Social Interactions in Isolated Village Networks


Educational Note: Paradoxical Collider Effect in the Analysis of Non-Communicable Disease Epidemiological Data: a reproducible illustration and web application


Educational Question Generation of Children Storybooks via Question Type Distribution Learning and Event-Centric Summarization


Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results


Educators' Perspectives of Using (or Not Using) Online Exam Proctoring


Eeny, meeny, miny, moe. How to choose data for morphological inflection


EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics


Effect Inference from Two-Group Data with Sampling Bias


Effect of Annotation Errors on Drone Detection with YOLOv3


Effect of Attention and Self-Supervised Speech Embeddings on Non-Semantic Speech Tasks


Effect of Centrifugal Force on Transmission Spectroscopy of Exoplanet Atmospheres


Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks


Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation


Effect of Kernel Size on CNN-Vision-Transformer-Based Gaze Prediction Using Electroencephalography Data


Effect of Noise Estimation in Time-Domain Ringdown Analysis: A Case Study with GW150914


Effect of Optimizer, Initializer, and Architecture of Hypernetworks on Continual Learning from Demonstration


Effect of Parameter Optimization on Classical and Learning-based Image Matching Methods


Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images


Effect of Prior-based Losses on Segmentation Performance: A Benchmark


Effect of Swarm Density on Collective Tracking Performance


Effect of The Latent Structure on Clustering with GANs


Effect of Torsion on Neutron Star Structure in Einstein-Cartan Gravity


Effect of Transducer Positioning in Active Noise Control


Effect of Voltage Source Converters with Electrochemical Storage Systems on Dynamics of Reduced-inertia Bulk Power Grids


Effect of backdoor attacks over the complexity of the latent space distribution


Effect of expanding learning scope on the evolution of cooperation in scale-free networks


Effect of hyperparameters on variable selection in random forests


Effect of insulator end cap thickness on time-dependent Hartmann flow in a rotating mirror


Effect of molecular and electronic geometries on the electronic density in FLO-SIC


Effect of resource dynamics on species packing in diverse ecosystems


Effect of stepwise adjustment of Damping factor upon PageRank


Effect of the QCD equation of state and strange hadronic resonances on multiparticle correlations in heavy ion collisions


Effect of the output activation function on the probabilities and errors in medical image segmentation


Effect of time-dependent infectiousness on epidemic dynamics


Effect of uncertainty visualizations on myopic loss aversion and equity premium puzzle in retirement investment decisions


Effect-driven interpretation: Functors for natural language composition


Effective ALP-Photon Coupling in External Magnetic Fields


Effective Abstract Reasoning with Dual-Contrast Network


Effective Analysis of C Programs by Rewriting Variability


Effective Anonymous Messaging: the Role of Altruism


Effective Attention Modeling for Neural Relation Extraction


Effective Attention Sheds Light On Interpretability


Effective Audio Classification Network Based on Paired Inverse Pyramid Structure and Dense MLP Block


Effective Batching for Recurrent Neural Network Grammars


Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders


Effective Benchmarks for Optical Turbulence Modeling


Effective Causal Discovery under Identifiable Heteroscedastic Noise Model


Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space


Effective Clustering on Large Attributed Bipartite Graphs


Effective Communication with Dynamic Feature Compression


Effective Community Detection Over Streaming Bipartite Networks (Technical Report)


Effective Community Search on Large Attributed Bipartite Graphs


Effective Computation of Generalized Abelian Complexity for Pisot Type Substitutive Sequences


Effective Computation of the Heegaard Genus of 3-Manifolds


Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters


Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5


Effective Darmon's program for the generalised Fermat equation


Effective Data Sampling Strategies and Boundary Condition Constraints of Physics-Informed Neural Networks for Identifying Material Properties in Solid Mechanics


Effective Data-Driven Collective Variables for Free Energy Calculations from Metadynamics of Paths


Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings


Effective Diffusion Transformer Architecture for Image Super-Resolution


Effective Distributed Representations for Academic Expert Search


Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data


Effective Embedding of Integer Linear Inequalities for Variational Quantum Algorithms


Effective Estimation of Deep Generative Language Models


Effective Estimation of the Dimensions of a Manifold from Random Samples


Effective Explanations for Entity Resolution Models


Effective Few-Shot Named Entity Linking by Meta-Learning


Effective Field Theory for Dark Matter Absorption on Single Phonons


Effective Front-Descent Algorithms with Convergence Guarantees


Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion


Effective Guidance for Model Attention with Simple Yes-no Annotations


Effective Heterogeneous Federated Learning via Efficient Hypernetwork-based Weight Generation


Effective Human-AI Teams via Learned Natural Language Rules and Onboarding


Effective Illicit Account Detection on Large Cryptocurrency MultiGraphs


Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion


Effective LLM-Driven Code Generation with Pythoness


Effective Layer Pruning Through Similarity Metric Perspective


Effective Learning of a GMRF Mixture Model


Effective Message Hiding with Order-Preserving Mechanisms


Effective Model Sparsification by Scheduled Grow-and-Prune Methods


Effective Model of Loop Extrusion Predicts Chromosomal Domains


Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization


Effective Multi-User Delay-Constrained Scheduling with Deep Recurrent Reinforcement Learning


Effective Neural Solution for Multi-Criteria Word Segmentation


Effective Neural Topic Modeling with Embedding Clustering Regularization


Effective Noise-aware Data Simulation for Domain-adaptive Speech Enhancement Leveraging Dynamic Stochastic Perturbation


Effective Non-Random Extreme Learning Machine


Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary


Effective Pre-Training of Audio Transformers for Sound Event Detection


Effective Prompt Extraction from Language Models


Effective Representation for Easy-First Dependency Parsing


Effective Rotation-invariant Point CNN with Spherical Harmonics kernels


Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation


Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting


Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis


Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts


Effective Self-supervised Pre-training on Low-compute Networks without Distillation


Effective Skill Unlearning through Intervention and Abstention


Effective Slogan Generation with Noise Perturbation


Effective Sparsification of Neural Networks with Global Sparsity Constraint


Effective Structural Encodings via Local Curvature Profiles


Effective Structured Prompting by Meta-Learning and Representative Verbalizer


Effective Subword Segmentation for Text Comprehension


Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation


Effective Test Generation Using Pre-trained Large Language Models and Mutation Testing


Effective Token Graph Modeling using a Novel Labeling Strategy for Structured Sentiment Analysis


Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models


Effective Use of Transformer Networks for Entity Tracking


Effective Variable Depth Local Search for the Budgeted Maximum Coverage Problem


Effective Ways to Build and Evaluate Individual Survival Distributions


Effective Whole-body Pose Estimation with Two-stages Distillation


Effective algorithms for calculation of quasiprobability distributions of bright "banana'' states


Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector


Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks


Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets


Effective and Efficient Intracortical Brain Signal Decoding with Spiking Neural Networks


Effective and Efficient Masked Image Generation Models


Effective and Efficient Query-aware Snippet Extraction for Web Search


Effective and Efficient Representation Learning for Flight Trajectories


Effective and Efficient Vote Attack on Capsule Networks


Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization


Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles


Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision Traceability


Effective certification of approximate solutions to systems of equations involving analytic functions


Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you need


Effective dose fractionation schemes of radiotherapy for prostate cancer


Effective ergodicity in single-spin-flip dynamics


Effective implementation of the High Performance Conjugate Gradient benchmark on GraphBLAS


Effective limits on single scalar extensions in the light of recent LHC data


Effective mass of quasiparticles from thermodynamics


Effective multiplicative independence of 3 singular moduli


Effective obstruction to lifting Tate classes from positive characteristic


Effective portals to heavy neutral leptons


Effective pruning of web-scale datasets based on complexity of concept clusters


Effective radiative forcing in the aerosol-climate model CAM5.3-MARC-ARG


Effective semantic segmentation in Cataract Surgery: What matters most?


Effective temperature in approximate quantum many-body states


Effective theory tower for $μ\rightarrow e$ conversion


Effective weakly supervised semantic frame induction using expression sharing in hierarchical hidden Markov models


Effective-one-body model for coalescing binary neutron stars: Incorporating tidal spin and enhanced radiation from dynamical tides


Effectively Leveraging Attributes for Visual Similarity


Effectively Leveraging Momentum Terms in Stochastic Line Search Frameworks for Fast Optimization of Finite-Sum Problems


Effectively Modeling Time Series with Simple Discrete State Spaces


Effectively Unbiased FID and Inception Score and where to find them


Effectiveness and Scalability of Fuzzing Techniques in CI/CD Pipelines


Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection


Effectiveness of Text, Acoustic, and Lattice-based representations in Spoken Language Understanding tasks


Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments


Effectiveness of greedily collecting items in open world games


Effectiveness of isolation measures with app support to contain COVID-19 epidemics: a parametric approach


Effectiveness of learning-based image codecs on fingerprint storage


Effects and Coeffects in Call-By-Push-Value (Extended Version)


Effects for Efficiency: Asymptotic Speedup with First-Class Control


Effects of Antivaccine Tweets on COVID-19 Vaccinations, Cases, and Deaths


Effects of Archive Size on Computation Time and Solution Quality for Multi-Objective Optimization


Effects of Artificial Collisions, Filtering, and Nonlocal Closure Approaches on Hermite-based Vlasov-Poisson Simulations


Effects of Baryonic Feedback on the Cosmic Web


Effects of Degradations on Deep Neural Network Architectures


Effects of Dynamical Decoupling and Pulse-level Optimizations on IBM Quantum Computers


Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing


Effects of Imperfections on Quantum Algorithms: A Software Engineering Perspective


Effects of Landau quantization on neutrino emission and absorption


Effects of Layer Freezing on Transferring a Speech Recognition System to Under-resourced Languages


Effects of Material Mapping Agnostic Partial Volume Correction for Subject Specific Finite Elements Simulations


Effects of Mg/Si on Exoplanetary Refractory Oxygen Budget


Effects of Naturalistic Variation in Goal-Oriented Dialog


Effects of Parameter Norm Growth During Transformer Training: Inductive Bias from Gradient Descent


Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations


Effects of Persuasive Dialogues: Testing Bot Identities and Inquiry Strategies


Effects of Shape on Interaction Dynamics of Tetrahedral Nanoplastics and the Cell Membrane


Effects of Shared Control on Cognitive Load and Trust in Teleoperated Trajectory Tracking


Effects of Spectral Normalization in Multi-agent Reinforcement Learning


Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games


Effects of a dark matter caustic passing through the Oort cloud


Effects of auditory distance cues and reverberation on spatial perception and listening strategies


Effects of concurrency on epidemic spreading in Markovian temporal networks


Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation


Effects of local cosmic inhomogeneities on the gravitational wave event rate


Effects of network topology and trait distribution on collective decision making


Effects of oxygen on the optical properties of phenyl-based scintillators during irradiation and recovery


Effects of personality traits in predicting grade retention of Brazilian students


Effects of plasma resistivity in three-dimensional full-F gyro-fluid turbulence simulations


Effects of reduced dimensionality, crystal field, electron-lattice coupling, and strain on the ground-state of a rare-earth nickelates monolayer


Effects of round-to-nearest and stochastic rounding in the numerical solution of the heat equation in low precision


Effects of substrate corrugation during helium adsorption on graphene in the grand canonical ensemble


Effects of suprathermal electrons on electron-acoustic instabilities


Effects of the COVID-19 lockdown on urban light emissions: ground and satellite comparison


Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models


Effects of the Plan Vélo I and II on vehicular flow in Paris -- An Empirical Analysis


Effects of turbulence in the Circumnuclear Disk


Effects on the local dark matter distribution due to the Large Magellanic Cloud


EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code


EffiBench: Benchmarking the Efficiency of Automatically Generated Code


EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder


EffiVED:Efficient Video Editing via Text-instruction Diffusion Models


Efficacious symmetry-adapted atomic displacement method for lattice dynamical studies


Efficacy of BERT embeddings on predicting disaster from Twitter data


Efficacy of Bayesian Neural Networks in Active Learning


Efficacy of Full-Packet Encryption in Mitigating Protocol Detection for Evasive Virtual Private Networks


Efficacy of MRI data harmonization in the age of machine learning. A multicenter study across 36 datasets


Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization


Efficacy of Neural Prediction-Based Zero-Shot NAS


Efficiencies of logical Bell measurements on CSS codes with static linear optics


Efficiency 360: Efficient Vision Transformers


Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification


Efficiency Evaluation of Character-level RNN Training Schedules


Efficiency Matters: Speeding Up Automated Testing with GUI Rendering Inference


Efficiency Optimization in Quantum Computing: Balancing Thermodynamics and Computational Performance


Efficiency Robustness of Dynamic Deep Learning Systems


Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding


Efficiency analysis for quantitative MRI of T1 and T2 relaxometry methods


Efficiency corrections for factorial moments and cumulants of overlapping sets of particles


Efficiency for Free: Ideal Data Are Transportable Representations


Efficiency of Generalized Regular k-point Grids


Efficiency of nonparametric superiority tests based on restricted mean survival time versus the log-rank test under proportional hazards


Efficiency, Accuracy, and Transferability of Machine Learning Potentials: Application to Dislocations and Cracks in Iron


Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface


Efficiency-Effectiveness Reranking FLOPs for LLM-based Rerankers


Efficiency-Effectiveness Tradeoff of Probabilistic Structured Queries for Cross-Language Information Retrieval


Efficient $k$-Clique Listing: An Edge-Oriented Branching Strategy


Efficient (Soft) Q-Learning for Text Generation with Limited Good Data


Efficient 2D Graph SLAM for Sparse Sensing


Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding


Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition


Efficient 3D Recognition with Event-driven Spike Sparse Convolution


Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning


Efficient 6D Vlasov simulation using the dynamical low-rank framework Ensign


Efficient ADMM-based Algorithms for Convolutional Sparse Coding


Efficient Ab-Initio Molecular Dynamic Simulations by Offloading Fast Fourier Transformations to FPGAs


Efficient Action Counting with Dynamic Queries


Efficient Activation Function Optimization through Surrogate Modeling


Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing


Efficient Adaptation of Multilingual Models for Japanese ASR


Efficient Adaptation of Pretrained Transformers for Abstractive Summarization


Efficient Adaptive Experimentation with Non-Compliance


Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory


Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect


Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection


Efficient Adversarial Training in LLMs with Continuous Attacks


Efficient Adversarial Training with Robust Early-Bird Tickets


Efficient Adversarial Training with Transferable Adversarial Examples


Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning


Efficient Agent Training for Computer Use


Efficient Algorithm Level Error Detection for Number-Theoretic Transform used for Kyber Assessed on FPGAs and ARM


Efficient Algorithm for Sparse Fourier Transform of Generalized $q$-ary Functions


Efficient Algorithms For Fair Clustering with a New Fairness Notion


Efficient Algorithms and Implementation of a Semiparametric Joint Model for Longitudinal and Competing Risks Data: With Applications to Massive Biobank Data


Efficient Algorithms for Complexes of Persistence Modules with Applications


Efficient Algorithms for Device Placement of DNN Graph Operators


Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation


Efficient Algorithms for Extreme Bandits


Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability


Efficient Algorithms for Maximal k-Biplex Enumeration


Efficient Algorithms for Minimal Matroid Extensions and Irreducible Decompositions of Circuit Varieties


Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint


Efficient Algorithms for Multidimensional Segmented Regression


Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models


Efficient Algorithms for Top-k Stabbing Queries on Weighted Interval Data (Full Version)


Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs


Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism


Efficient Alternating Minimization Solvers for Wyner Multi-View Unsupervised Learning


Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems


Efficient Analysis Routines for Single and Double Peaked Type 2 AGN Spectra


Efficient Analytical Derivatives of Rigid-Body Dynamics using Spatial Vector Algebra


Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit Fields


Efficient And Scalable Neural Residual Waveform Coding With Collaborative Quantization


Efficient Annotation of Medieval Charters


Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media


Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain


Efficient Approximate Temporal Triangle Counting in Streaming with Predictions


Efficient Approximation of Centrality Measures in Uncertain Graphs


Efficient Approximation of Expected Hypervolume Improvement using Gauss-Hermite Quadrature


Efficient Approximation of Gromov-Wasserstein Distance Using Importance Sparsification


Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction


Efficient Arabic emotion recognition using deep neural networks


Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems


Efficient Architectures for High Resolution Vision-Language Models


Efficient Aspect-Based Summarization of Climate Change Reports with Small Language Models


Efficient Assessment of Process Fidelity


Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs


Efficient Attention via Pre-Scoring: Prioritizing Informative Keys in Transformers


Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution


Efficient Attentions for Long Document Summarization


Efficient Augmentation for Imbalanced Deep Learning


Efficient Automatic Machine Learning via Design Graphs


Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning


Efficient Autoregressive Audio Modeling via Next-Scale Prediction


Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios


Efficient Backdoor Removal Through Natural Gradient Fine-tuning


Efficient Backpropagation with Variance-Controlled Adaptive Sampling


Efficient Batched CPU/GPU Implementation of Orthogonal Matching Pursuit for Python


Efficient Bayes Inference in Neural Networks through Adaptive Importance Sampling


Efficient Bayesian inference and model selection for continuous gravitational waves in pulsar timing array data


Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19


Efficient Bayesian network structure learning via local Markov boundary search


Efficient Bayesian shape-restricted function estimation with constrained Gaussian process priors


Efficient Bernoulli factory MCMC for intractable posteriors


Efficient Binary Decision Diagram Manipulation in External Memory


Efficient Binary-Level Coverage Analysis


Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features


Efficient Black-Box Adversarial Attacks on Neural Text Detectors


Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior


Efficient Bosonic and Fermionic Sinkhorn Algorithms for Non-Interacting Ensembles in One-body Reduced Density Matrix Functional Theory in the Canonical Ensemble


Efficient Bounds and Estimates for Canonical Angles in Randomized Subspace Approximations


Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning


Efficient CDF Approximations for Normalizing Flows


Efficient CNN Architecture Design Guided by Visualization


Efficient CNN-LSTM based Image Captioning using Neural Network Compression


Efficient Calculation of Crossing Symmetric BCJ Tree Numerators


Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation


Efficient Camera Exposure Control for Visual Odometry via Deep Reinforcement Learning


Efficient Causal Graph Discovery Using Large Language Models


Efficient Cell-Specific Beamforming for Large Antenna Arrays


Efficient Centrality Maximization with Rademacher Averages


Efficient Certified Training and Robustness Verification of Neural ODEs


Efficient Channel Estimation With Shorter Pilots in RIS-Aided Communications: Using Array Geometries and Interference Statistics


Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation


Efficient Classical Computation of Single-Qubit Marginal Measurement Probabilities to Simulate Certain Classes of Quantum Algorithms


Efficient Classification of Locally Checkable Problems in Regular Trees


Efficient Classification of Very Large Images with Tiny Objects


Efficient Classification with Counterfactual Reasoning and Active Learning


Efficient Cluster-Based k-Nearest-Neighbor Machine Translation


Efficient Coding in the Economics of Human Brain Connectomics


Efficient Collaborative Multi-Agent Deep Reinforcement Learning for Large-Scale Fleet Management


Efficient Combinatorial Optimization via Heat Diffusion


Efficient Communication over Complex Dynamical Networks: The Role of Matrix Non-Normality


Efficient Compactions Between Storage Tiers with PrismDB


Efficient Compression of Overparameterized Deep Models through Low-Dimensional Learning Dynamics


Efficient Compression of Redshift-Space Distortion Data for Late-Time Modified Gravity Models


Efficient Compression of Sparse Accelerator Data Using Implicit Neural Representations and Importance Sampling


Efficient Computation Sharing for Multi-Task Visual Scene Understanding


Efficient Computation of $N$-point Correlation Functions in $D$ Dimensions


Efficient Computation of Closed Substrings


Efficient Computation of Galaxy Bias with Neutrinos and Other Relics


Efficient Computation of Hyper-triangles on Hypergraphs


Efficient Computation of Mean field Control based Barycenters from Reaction-Diffusion Systems


Efficient Computation of One-Loop Feynman Integrals and Fixed-Branch Integrals to High Orders in $ε$


Efficient Computation of Shap Explanation Scores for Neural Network Classifiers via Knowledge Compilation


Efficient Computation of the Quantum Rate-Distortion Function


Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks


Efficient Concentration with Gaussian Approximation


Efficient Concept Induction for Description Logics


Efficient Conditional Diffusion Model with Probability Flow Sampling for Image Super-resolution


Efficient Conditional GAN Transfer with Knowledge Propagation across Classes


Efficient Configuration-Constrained Tube MPC via Variables Restriction and Template Selection


Efficient Conformal Prediction via Cascaded Inference with Expanded Admission


Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function


Efficient Constant-Space Multi-Vector Retrieval


Efficient Construction Method for Phase Diagrams Using Uncertainty Sampling


Efficient Construction of the BWT for Repetitive Text Using String Compression


Efficient Context-Aware Network for Abdominal Multi-organ Segmentation


Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling


Efficient Continual Learning in Neural Networks with Embedding Regularization


Efficient Continuous Control with Double Actors and Regularized Critics


Efficient Continuous Group Convolutions for Local SE(3) Equivariance in 3D Point Clouds


Efficient Continuous Pareto Exploration in Multi-Task Learning


Efficient Contrastive Explanations on Demand


Efficient Convergent Boundary Integral Methods for Slender Bodies


Efficient Conversational Search via Topical Locality in Dense Retrieval


Efficient Convolutional Neural Networks on Raspberry Pi for Image Classification


Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization


Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames


Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison


Efficient DOA Estimation Method for Reconfigurable Intelligent Surfaces Aided UAV Swarm


Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder


Efficient Data Generation for Source-grounded Information-seeking Dialogs: A Use Case for Meeting Transcripts


Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks


Efficient Data-Parallel Continual Learning with Asynchronous Distributed Rehearsal Buffers


Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search


Efficient Dataset Distillation Using Random Feature Approximation


Efficient Dataset Distillation via Minimax Diffusion


Efficient Decentralized Deep Learning by Dynamic Model Averaging


Efficient Decompositional Rule Extraction for Deep Neural Networks


Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling


Efficient Deduplication and Leakage Detection in Large Scale Image Datasets with a focus on the CrowdAI Mapping Challenge Dataset


Efficient Deep Clustering of Human Activities and How to Improve Evaluation


Efficient Deep Gaussian Process Models for Variable-Sized Input


Efficient Deep Learning Architectures for Fast Identification of Bacterial Strains in Resource-Constrained Devices


Efficient Deep Learning Methods for Identification of Defective Casting Products


Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification


Efficient Deep Learning with Decorrelated Backpropagation


Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models


Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better


Efficient Deep Neural Network for Photo-realistic Image Super-Resolution


Efficient Deep Reinforcement Learning via Adaptive Policy Transfer


Efficient Deep Reinforcement Learning with Predictive Processing Proximal Policy Optimization


Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection


Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks


Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications


Efficient Deformable Shape Correspondence via Kernel Matching


Efficient Dense Frontier Detection for 2D Graph SLAM Based on Occupancy Grid Submaps


Efficient Density Control for 3D Gaussian Splatting


Efficient Deobfuscation of Linear Mixed Boolean-Arithmetic Expressions


Efficient Dependency Analysis for Rule-Based Ontologies


Efficient Derivative Computation for Cumulative B-Splines on Lie Groups


Efficient Designs of SLOPE Penalty Sequences in Finite Dimension


Efficient Detection Framework Adaptation for Edge Computing: A Plug-and-play Neural Network Toolbox Enabling Edge Deployment


Efficient Detection of Commutative Factors in Factor Graphs


Efficient Detection of Exchangeable Factors in Factor Graphs


Efficient Dialogue State Tracking by Selectively Overwriting Memory


Efficient Dictionary Learning with Switch Sparse Autoencoders


Efficient Differentiable Approximation of Generalized Low-rank Regularization


Efficient Diffusion Policies for Offline Reinforcement Learning


Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators


Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation


Efficient Digital Quadratic Unconstrained Binary Optimization Solvers for SAT Problems


Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond


Efficient Discovery of Actual Causality using Abstraction-Refinement


Efficient Discovery of Significant Patterns with Few-Shot Resampling


Efficient Distillation of Classifier-Free Guidance using Adapters


Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces


Efficient Document Re-Ranking for Transformers by Precomputing Term Representations


Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization


Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification


Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation


Efficient Dynamic LiDAR Odometry for Mobile Robots with Structured Point Clouds


Efficient ECG-based Atrial Fibrillation Detection via Parameterised Hypercomplex Neural Networks


Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation


Efficient Encoder-Decoder Transformer Decoding for Decomposable Tasks


Efficient Encoding of Dynamical Systems through Local Approximations


Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer


Efficient Ensemble for Multimodal Punctuation Restoration using Time-Delay Neural Network


Efficient Entity Candidate Generation for Low-Resource Languages


Efficient Entropy-Stable Discontinuous Spectral-Element Methods Using Tensor-Product Summation-by-Parts Operators on Triangles and Tetrahedra


Efficient Enumeration of Large Maximal k-Plexes


Efficient Enumeration of Markov Equivalent DAGs


Efficient Estimation and Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified Sampling


Efficient Estimation for Staggered Rollout Designs


Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators


Efficient Estimation of Pairwise Effective Resistance


Efficient Estimation of Relaxed Model Parameters for Robust UAV Trajectory Optimization


Efficient Estimation of Shortest-Path Distance Distributions to Samples in Graphs


Efficient Estimation of Unique Components in Independent Component Analysis by Matrix Representation


Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion


Efficient Event-based Delay Learning in Spiking Neural Networks


Efficient Evolutionary Search Over Chemical Space with Large Language Models


Efficient Exact Verification of Binarized Neural Networks


Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs


Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation


Efficient Explanations from Empirical Explainers


Efficient Explicit Joint-level Interaction Modeling with Mamba for Text-guided HOI Generation


Efficient Exploration through Bayesian Deep Q-Networks


Efficient Explorative Key-term Selection Strategies for Conversational Contextual Bandits


Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network


Efficient Failure Pattern Identification of Predictive Algorithms


Efficient Fair Division with Minimal Sharing


Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object Detection


Efficient Feature Compression for Edge-Cloud Systems


Efficient Feature Description for Small Body Relative Navigation using Binary Convolutional Neural Networks


Efficient Feature Extraction for High-resolution Video Frame Interpolation


Efficient Feature Fusion for UAV Object Detection


Efficient Feature Transformations for Discriminative and Generative Continual Learning


Efficient Federated Intrusion Detection in 5G ecosystem using optimized BERT-based model


Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability


Efficient Federated Unlearning under Plausible Deniability


Efficient Few-Shot Fine-Tuning for Opinion Summarization


Efficient Few-Shot Learning Without Prompts


Efficient Few-Shot Object Detection via Knowledge Inheritance


Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes


Efficient First-Order Algorithms for Adaptive Signal Denoising


Efficient First-order Methods for Convex Minimization: a Constructive Approach


Efficient Formal Verification of Quantum Error Correcting Programs


Efficient Forward-Mode Algorithmic Derivatives of Geant4


Efficient Fourier Basis Particle Simulation


Efficient Fourier Filtering Network with Contrastive Learning for UAV-based Unaligned Bi-modal Salient Object Detection


Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation


Efficient Framework for Solving Plasma Waves with Arbitrary Distributions


Efficient Fraud Detection Using Deep Boosting Decision Trees


Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring


Efficient Full-frequency GW Calculations using a Lanczos Method


Efficient GANs for Document Image Binarization Based on DWT and Normalization


Efficient GPU Implementation of Affine Index Permutations on Arrays


Efficient GPU Implementation of Static and Incrementally Expanding DF-P PageRank for Dynamic Graphs


Efficient GPU-Accelerated Training of a Neuroevolution Potential with Analytical Gradients


Efficient Generalization Improvement Guided by Random Weight Perturbation


Efficient Generation of Grids and Traversal Graphs in Compositional Spaces towards Exploration and Path Planning


Efficient Generation of Hidden Outliers for Improved Outlier Detection


Efficient Generation of Structured Objects with Constrained Adversarial Networks


Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion Models


Efficient Generative Model Training via Embedded Representation Warmup


Efficient Generator of Mathematical Expressions for Symbolic Regression


Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and Pólya-Gamma Augmentation


Efficient Global Multi-object Tracking Under Minimum-cost Circulation Framework


Efficient Global Navigational Planning in 3D Structures based on Point Cloud Tomography


Efficient Global Optimal Resource Allocation in Non-Orthogonal Interference Networks


Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical Video


Efficient Golf Ball Detection and Tracking Based on Convolutional Neural Networks and Kalman Filter


Efficient Gradient Flows in Sliced-Wasserstein Space


Efficient Graduated Non-Convexity for Pose Graph Optimization


Efficient Graph Condensation via Gaussian Process


Efficient Graph Deep Learning in TensorFlow with tf_geometric


Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration


Efficient Graph Field Integrators Meet Point Clouds


Efficient Graph Generation with Graph Recurrent Attention Networks


Efficient Graph Laplacian Estimation by Proximal Newton


Efficient Graph Similarity Computation with Alignment Regularization


Efficient Gravitational Wave Template Bank Generation with Differentiable Waveforms


Efficient Greybox Fuzzing to Detect Memory Errors


Efficient Guided Generation for Large Language Models


Efficient HLA imputation from sequential SNPs data by Transformer


Efficient Hamiltonian learning from Gibbs states


Efficient Hand Articulations Tracking using Adaptive Hand Model and Depth map


Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes


Efficient Heterogeneous Graph Learning via Random Projection


Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models


Efficient Heuristics for Multi-Robot Path Planning in Crowded Environments


Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging


Efficient Hierarchical Contrastive Self-supervising Learning for Time Series Classification via Importance-aware Resolution Selection


Efficient Hierarchical Domain Adaptation for Pretrained Language Models


Efficient Hierarchical Graph-Based Segmentation of RGBD Videos


Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics


Efficient High-Quality Clustering for Large Bipartite Graphs


Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-Net


Efficient High-Resolution Template Matching with Vector Quantized Nearest Neighbour Fields


Efficient Higher-order Convolution for Small Kernels in Deep Learning


Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index


Efficient Human Pose Estimation: Leveraging Advanced Techniques with MediaPipe


Efficient Human Vision Inspired Action Recognition using Adaptive Spatiotemporal Sampling


Efficient Human-in-the-loop System for Guiding DNNs Attention


Efficient Hybrid Network: Inducting Scattering Features


Efficient Hyperparameter Optimization for Differentially Private Deep Learning


Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets


Efficient Identification of Butterfly Sparse Matrix Factorizations


Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation


Efficient Image Deblurring Networks based on Diffusion Models


Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders


Efficient Image Super-Resolution using Vast-Receptive-Field Attention


Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network


Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness


Efficient Implementation of CRYSTALS-KYBER Key Encapsulation Mechanism on ESP32


Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular Reactions


Efficient Implementation of RISC-V Vector Permutation Instructions


Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems


Efficient Implicit Neural Reconstruction Using LiDAR


Efficient Incorporation of Multiple Latency Targets in the Once-For-All Network


Efficient Incremental Penetration Depth Estimation between Convex Geometries


Efficient Inference for Large Language Model-based Generative Recommendation


Efficient Inference for Large Reasoning Models: A Survey


Efficient Inference in Multi-task Cox Process Models


Efficient Inference of Vision Instruction-Following Models with Elastic Cache


Efficient Inference on High-Dimensional Linear Models with Missing Outcomes


Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning


Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning


Efficient Initial Pose-graph Generation for Global SfM


Efficient Integer Retrieving from Unordered Compressed Sequences


Efficient Integer-Arithmetic-Only Convolutional Neural Networks


Efficient Integration of Aggregate Data and Individual Patient Data in One-Way Mixed Models


Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction


Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction


Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset


Efficient Invariant Kalman Filter for Inertial-based Odometry with Large-sample Environmental Measurements


Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies


Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography


Efficient Inversion of Unknown Unitary Operations with Structured Hamiltonians


Efficient IoT Devices Localization Through Wi-Fi CSI Feature Fusion and Anomaly Detection


Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging using a Dictionary Approach


Efficient Joint Learning for Clinical Named Entity Recognition and Relation Extraction Using Fourier Networks: A Use Case in Adverse Drug Events


Efficient Joint Sampling of Impact Parameters and Transit Depths in Transiting Exoplanet Light Curves


Efficient Kernel UCB for Contextual Bandits


Efficient Keyword Spotting by capturing long-range interactions with Temporal Lambda Networks


Efficient Knowledge Compilation Beyond Weighted Model Counting


Efficient Knowledge Distillation from Model Checkpoints


Efficient Krylov methods for linear response in plane-wave electronic structure calculations


Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons


Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization


Efficient LLM Scheduling by Learning to Rank


Efficient LLMs with AMP: Attention Heads and MLP Pruning


Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning


Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution


Efficient Large-scale Nonstationary Spatial Covariance Function Estimation Using Convolutional Neural Networks


Efficient Large-scale Scene Representation with a Hybrid of High-resolution Grid and Plane Features


Efficient Large-scale Trace Checking Using MapReduce


Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming


Efficient Learning Strategy for Predicting Glass Forming Ability in Imbalanced Datasets of Bulk Metallic Glasses


Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling


Efficient Learning for Clustering and Optimizing Context-Dependent Designs


Efficient Learning in Chinese Checkers: Comparing Parameter Sharing in Multi-Agent Reinforcement Learning


Efficient Learning of Fuzzy Logic Systems for Large-Scale Data Using Deep Learning


Efficient Learning of Generative Models via Finite-Difference Score Matching


Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music


Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN


Efficient Learning of Minimax Risk Classifiers in High Dimensions


Efficient Learning of Mixed Membership Models


Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecified Treatment-Free Effect Models


Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations


Efficient Learning on Point Clouds with Basis Point Sets


Efficient Lifelong Model Evaluation in an Era of Rapid Progress


Efficient Light Field Reconstruction via Spatio-Angular Dense Network


Efficient Link Prediction via GNN Layers Induced by Negative Sampling


Efficient Local Classical Shadow Tomography with Number Conservation


Efficient Local Search for Nonlinear Real Arithmetic


Efficient Localized Adaptation of Neural Weather Forecasting: A Case Study in the MENA Region


Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment


Efficient Long Sequence Modeling via State Space Augmented Transformer


Efficient Long-Range Attention Network for Image Super-resolution


Efficient Long-Range Convolutions for Point Clouds


Efficient Long-Range Machine Learning Force Fields for Liquid and Materials Properties


Efficient Loop Conditions for Bounded Model Checking Hyperproperties


Efficient Lottery Ticket Finding: Less Data is More


Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits


Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization


Efficient MDP Analysis for Selfish-Mining in Blockchains


Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness


Efficient MPI-based Communication for GPU-Accelerated Dask Applications


Efficient MRI Parallel Imaging Reconstruction by K-Space Rendering via Generalized Implicit Neural Representation


Efficient Machine Learning Ensemble Methods for Detecting Gravitational Wave Glitches in LIGO Time Series


Efficient Machine Translation Domain Adaptation


Efficient Machine Translation with a BiLSTM-Attention Approach


Efficient Machine-type Communication using Multi-metric Context-awareness for Cars used as Mobile Sensors in Upcoming 5G Networks


Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention


Efficient Map Sparsification Based on 2D and 3D Discretized Grids


Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity


Efficient Materials Informatics between Rockets and Electrons


Efficient Maximum Fair Clique Search over Large Networks


Efficient Medical Image Segmentation Based on Knowledge Distillation


Efficient Medical Question Answering with Knowledge-Augmented Question Generation


Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models


Efficient Meshy Neural Fields for Animatable Human Avatars


Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation


Efficient Meta-Tuning for Content-aware Neural Video Delivery


Efficient Metastability Characterization for Schmitt-Triggers


Efficient Method for Categorize Animals in the Wild


Efficient Metric Learning for the Analysis of Motion Data


Efficient Mirror Detection via Multi-level Heterogeneous Learning


Efficient Misalignment-Robust Multi-Focus Microscopical Images Fusion


Efficient Mixed Precision Quantization in Graph Neural Networks


Efficient Mixed Transformer for Single Image Super-Resolution


Efficient Mixture Learning in Black-Box Variational Inference


Efficient Model Editing with Task Vector Bases: A Theoretical Framework and Scalable Approach


Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA


Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning


Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation


Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning


Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks


Efficient Modeling of Future Context for Image Captioning


Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process


Efficient Modulation for Vision Networks


Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction


Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed


Efficient Motion Prompt Learning for Robust Visual Tracking


Efficient Movie Scene Detection using State-Space Transformers


Efficient Multi-Agent Trajectory Planning with Feasibility Guarantee using Relative Bernstein Polynomial


Efficient Multi-Contact Pattern Generation with Sequential Convex Approximations of the Centroidal Dynamics


Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements


Efficient Multi-Scale Attention Module with Cross-Spatial Learning


Efficient Multi-Vector Dense Retrieval Using Bit Vectors


Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals


Efficient Multi-View Graph Clustering with Local and Global Structure Preservation


Efficient Multi-agent Reinforcement Learning by Planning


Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters


Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring


Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning


Efficient Multiagent Planning via Shared Action Suggestions


Efficient Multidimensional Functional Data Analysis Using Marginal Product Basis Systems


Efficient Multifidelity Likelihood-Free Bayesian Inference with Adaptive Computational Resource Allocation


Efficient Multimodal Large Language Models: A Survey


Efficient Multimodal Sampling via Tempered Distribution Flow


Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis


Efficient Multiplayer Battle Game Optimizer for Adversarial Robust Neural Architecture Search


Efficient Multiscale Object-based Superpixel Framework


Efficient Multivariate Initial Sequence Estimators for MCMC


Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation


Efficient Mutation Testing via Pre-Trained Language Models


Efficient NLP Model Finetuning via Multistage Data Filtering


Efficient Nearest Neighbor Language Models


Efficient Network Embedding by Approximate Equitable Partitions


Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through Gradients


Efficient Neural Architecture Search via Proximal Iterations


Efficient Neural Common Neighbor for Temporal Graph Link Prediction


Efficient Neural Hybrid System Learning and Transition System Abstraction for Dynamical Systems


Efficient Neural Implicit Representation for 3D Human Reconstruction


Efficient Neural Interaction Function Search for Collaborative Filtering


Efficient Neural Neighborhood Search for Pickup and Delivery Problems


Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian Inference


Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data


Efficient Neural Network Encoding for 3D Color Lookup Tables


Efficient Neural Network Training via Forward and Backward Propagation Sparsification


Efficient Neural Ranking using Forward Indexes


Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis


Efficient Node Selection in Private Personalized Decentralized Learning


Efficient Non-Autoregressive GAN Voice Conversion using VQWav2vec Features and Dynamic Convolution


Efficient Non-Learning Similar Subtrajectory Search


Efficient Non-Local Contrastive Attention for Image Super-Resolution


Efficient Non-Parametric Optimizer Search for Diverse Tasks


Efficient Non-Sampling Knowledge Graph Embedding


Efficient Non-parametric Bayesian Hawkes Processes


Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs


Efficient Nonparametric Smoothness Estimation


Efficient Nonparametric Tensor Decomposition for Binary and Count Data


Efficient Novelty Detection Methods for Early Warning of Potential Fatal Diseases


Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling


Efficient Numerical Schemes for Multidimensional Population Balance Models


Efficient OCR for Building a Diverse Digital History


Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery


Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured Signals


Efficient Offline Policy Optimization with a Learned Model


Efficient On-Device Session-Based Recommendation


Efficient On-device Training via Gradient Filtering


Efficient On-line Computation of Visibility Graphs


Efficient One Pass Self-distillation with Zipf's Label Smoothing


Efficient One-Pass End-to-End Entity Linking for Questions


Efficient Online Bayesian Inference for Neural Bandits


Efficient Online Estimation of Causal Effects by Deciding What to Observe


Efficient Online Inference of Vision Transformers by Training-Free Tokenization


Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent


Efficient Online String Matching through Linked Weak Factors


Efficient Online Transfer Learning for 3D Object Classification in Autonomous Driving


Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure


Efficient Optimization of Loops and Limits with Randomized Telescoping Sums


Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method


Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads


Efficient Orthogonal Decomposition with Automatic Basis Extraction for Low-Rank Matrix Approximation


Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections


Efficient Outlier Removal in Large Scale Global Structure-from-Motion


Efficient PSF Modeling with ShOpt.jl: A PSF Benchmarking Study with JWST NIRCam Imaging


Efficient Parallel Genetic Algorithm for Perturbed Substructure Optimization in Complex Network


Efficient Parallel Graph Trimming by Arc-Consistency


Efficient Parallel Output-Sensitive Edit Distance


Efficient Parallel Reinforcement Learning Framework using the Reactor Model


Efficient Parallel Translating Embedding For Knowledge Graphs


Efficient Parallelization Layouts for Large-Scale Distributed Model Training


Efficient Parallelization of a Ubiquitous Sequential Computation


Efficient Parameter Estimation for Bayesian Network Classifiers using Hierarchical Linear Smoothing


Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application


Efficient Part-level 3D Object Generation via Dual Volume Packing


Efficient Passage Retrieval with Hashing for Open-domain Question Answering


Efficient Path Planning and Task Allocation Algorithm for Boolean Specifications


Efficient Path Planning in Large Unknown Environments with Switchable System Models for Automated Vehicles


Efficient Path Planning in Narrow Passages for Robots with Ellipsoidal Components


Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification


Efficient Pattern Matching in Elastic-Degenerate Strings


Efficient Peer Effects Estimators with Group Effects


Efficient Peer-to-Peer Content Sharing for Learning in Virtual Worlds


Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards


Efficient Personalized Federated Learning via Sparse Model-Adaptation


Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace


Efficient Phishing URL Detection Using Graph-based Machine Learning and Loopy Belief Propagation


Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging


Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views


Efficient Planar Pose Estimation via UWB Measurements


Efficient Plane-Based Optimization of Geometry and Texture for Indoor RGB-D Reconstruction


Efficient Planning in a Compact Latent Action Space


Efficient Polarization Demosaicking via Low-cost Edge-aware and Inter-channel Correlation


Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design


Efficient Policy Iteration for Robust Markov Decision Processes via Regularization


Efficient Policy Learning from Surrogate-Loss Classification Reductions


Efficient Post-Hoc Uncertainty Calibration via Variance-Based Smoothing


Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation


Efficient Pre-training for Localized Instruction Generation of Videos


Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking


Efficient Prediction of Peptide Self-assembly through Sequential and Graphical Encoding


Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification


Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware


Efficient Private SCO for Heavy-Tailed Data via Averaged Clipping


Efficient Probabilistic Inference in Generic Neural Networks Trained with Non-Probabilistic Feedback


Efficient Probabilistic Logic Reasoning with Graph Neural Networks


Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale


Efficient Process Reward Model Training via Active Learning


Efficient Profit Maximization in Reliability Concerned Static Vehicular Cloud System


Efficient Progressive Image Compression with Variance-aware Masking


Efficient Prompt Tuning of Large Vision-Language Model for Fine-Grained Ship Classification


Efficient Protein Ground State Energy Computation via Fragmentation and Reassembly


Efficient Pyramid Channel Attention Network for Pathological Myopia Recognition


Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training


Efficient Quality-Diversity Optimization through Diverse Quality Species


Efficient Quantification and Representation of Aggregate Flexibility in Electric Vehicles


Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its Deployment


Efficient Quantized Sparse Matrix Operations on Tensor Cores


Efficient Quantum Circuits for Non-Unitary and Unitary Diagonal Operators with Space-Time-Accuracy trade-offs


Efficient Quantum State Tomography with Mode-assisted Training


Efficient Quantum State Tracking in Noisy Environments


Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting


Efficient Querying from Weighted Binary Codes


Efficient RAW Image Deblurring with Adaptive Frequency Modulation


Efficient RDF Streaming for the Edge-Cloud Continuum


Efficient RL Training for Reasoning Models via Length-Aware Optimization


Efficient Random Sampling - Parallel, Vectorized, Cache-Efficient, and Online


Efficient Randomized Algorithms for the Fixed-Precision Low-Rank Matrix Approximation


Efficient Randomized Experiments Using Foundation Models


Efficient Randomized Subspace Embeddings for Distributed Optimization under a Communication Budget


Efficient Rare-Event Simulation for Random Geometric Graphs via Importance Sampling


Efficient Re-parameterization Residual Attention Network For Nonhomogeneous Image Dehazing


Efficient Real-Time Radial Distortion Correction for UAVs


Efficient Real-time Path Planning with Self-evolving Particle Swarm Optimization in Dynamic Scenarios


Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution


Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization


Efficient Reasoning for LLMs through Speculative Chain-of-Thought


Efficient Reasoning via Chain of Unconscious Thought


Efficient Reasoning with Hidden Thinking


Efficient Reconstruction of Stochastic Pedigrees: Some Steps From Theory to Practice


Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate


Efficient Reduced Basis Algorithm (ERBA) for kernel-based approximation


Efficient Reduced Order Quadrature Construction Algorithms for Fast Gravitational Wave Inference


Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis


Efficient Regional Memory Network for Video Object Segmentation


Efficient Reinforcement Learning Through Trajectory Generation


Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning


Efficient Rejection Sampling in the Entropy-Optimal Range


Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition


Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment


Efficient Representation Learning Using Random Walks for Dynamic Graphs


Efficient Representations of Radiality Constraints in Optimization of Islanding and De-Energization in Distribution Grids


Efficient Representative Subset Selection over Sliding Windows


Efficient Retrieval Augmented Generation from Unstructured Knowledge for Task-Oriented Dialog


Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning


Efficient Ridesharing Dispatch Using Multi-Agent Reinforcement Learning


Efficient Robust Conformal Prediction via Lipschitz-Bounded Networks


Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos


Efficient SAGE Estimation via Causal Structure Learning


Efficient Sampling Policy for Selecting a Good Enough Subset


Efficient Sampling and Structure Learning of Bayesian Networks


Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation


Efficient Sampling for Realized Variance Estimation in Time-Changed Diffusion Models


Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis


Efficient Scene Compression for Visual-based Localization


Efficient Search for Customized Activation Functions with Gradient Descent


Efficient Search for Diverse Coherent Explanations


Efficient Search of Live-Coding Screencasts from Online Videos


Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning


Efficient Segmentation with Texture in Ore Images Based on Box-supervised Approach


Efficient Selection Between Hierarchical Cognitive Models: Cross-validation With Variational Bayes


Efficient Self-Ensemble for Semantic Segmentation


Efficient Self-Supervised Barlow Twins from Limited Tissue Slide Cohorts for Colonic Pathology Diagnostics


Efficient Self-Supervised Video Hashing with Selective State Spaces


Efficient Self-Supervision using Patch-based Contrastive Learning for Histopathology Image Segmentation


Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction


Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms


Efficient Semantic Image Synthesis via Class-Adaptive Normalization


Efficient Semantic Scene Completion Network with Spatial Group Convolution


Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos


Efficient Semiring-Weighted Earley Parsing


Efficient Sentence Embedding using Discrete Cosine Transform


Efficient Sentence Embedding via Semantic Subspace Analysis


Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models


Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance


Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models


Efficient Sharpness-aware Minimization for Improved Training of Neural Networks


Efficient Similarity-based Passive Filter Pruning for Compressing CNNs


Efficient Single Image Super-Resolution Using Dual Path Connections with Multiple Scale Learning


Efficient Smoothing of Dilated Convolutions for Image Segmentation


Efficient Solution of Point-Line Absolute Pose


Efficient Solution of Portfolio Optimization Problems via Dimension Reduction and Sparsification


Efficient Solution to 3D-LiDAR-based Monte Carlo Localization with Fusion of Measurement Model Optimization via Importance Sampling


Efficient Solutions of Fermionic Systems using Artificial Neural Networks


Efficient Solvers for Sparse Subspace Clustering


Efficient Space-time Video Super Resolution using Low-Resolution Flow and Mask Upsampling


Efficient Sparse Coding using Hierarchical Riemannian Pursuit


Efficient Sparse Spherical k-Means for Document Clustering


Efficient Sparse State Preparation via Quantum Walks


Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering


Efficient Sparse Training with Structured Dropout


Efficient Sparse-Dense Matrix-Matrix Multiplication on GPUs Using the Customized Sparse Storage Format


Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization


Efficient Sparse-Winograd Convolutional Neural Networks


Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation


Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models


Efficient Specialized Spreadsheet Parsing for Data Science


Efficient Spectral Element Method for the Euler Equations on Unbounded Domains


Efficient Speech Emotion Recognition Using Multi-Scale CNN and Attention


Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders


Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space


Efficient Speech Translation through Model Compression and Knowledge Distillation


Efficient Speech Translation with Dynamic Latent Perceivers


Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model


Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization


Efficient Stepping Algorithms and Implementations for Parallel Shortest Paths


Efficient Stochastic Programming in Julia


Efficient Stochastic Routing in Path-Centric Uncertain Road Networks -- Extended Version


Efficient Storage Integrity in Adversarial Settings


Efficient Streaming Voice Steganalysis in Challenging Detection Scenarios


Efficient Structure-preserving Support Tensor Train Machine


Efficient Sub-structured Knowledge Distillation


Efficient Subclass Segmentation in Medical Images


Efficient Subgraph GNNs by Learning Effective Selection Policies


Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable


Efficient Subspace Search in Data Streams


Efficient Supervised Training of Audio Transformers for Music Representation Learning


Efficient Symbolic Policy Learning with Differentiable Symbolic Expression


Efficient Symmetry-Preserving State Preparation Circuits for the Variational Quantum Eigensolver Algorithm


Efficient Synthesis of Symbolic Distributed Protocols by Sketching


Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups


Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective


Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task


Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms


Efficient Temporal Action Segmentation via Boundary-aware Query Voting


Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation


Efficient Tensor Decomposition via Moment Matrix Extension


Efficient Tensor Network Algorithms for Spin Foam Models


Efficient Ternary Weight Embedding Model: Bridging Scalability and Performance


Efficient Test Time Adapter Ensembling for Low-resource Language Varieties


Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction


Efficient Text-driven Motion Generation via Latent Consistency Training


Efficient Token Compression for Vision Transformer with Spatial Information Preserved


Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks


Efficient Traffic Prediction Through Spatio-Temporal Distillation


Efficient Training Under Limited Resources


Efficient Training for Positive Unlabeled Learning


Efficient Training of Audio Transformers with Patchout


Efficient Training of Deep Neural Operator Networks via Randomized Sampling


Efficient Training of Energy-Based Models Using Jarzynski Equality


Efficient Training of Probabilistic Neural Networks for Survival Analysis


Efficient Training of Robust Decision Trees Against Adversarial Examples


Efficient Training of Visual Transformers with Small Datasets


Efficient Trajectory Forecasting and Generation with Conditional Flow Matching


Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging


Efficient Trajectory Planning for Multiple Non-holonomic Mobile Robots via Prioritized Trajectory Optimization


Efficient Transfer Learning for Video-language Foundation Models


Efficient Transformer for High Resolution Image Motion Deblurring


Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environments


Efficient Transformers with Dynamic Token Pooling


Efficient Truncated Linear Regression with Unknown Noise Variance


Efficient Tuning and Inference for Large Language Models on Textual Graphs


Efficient Tuning of Large Language Models for Knowledge-Grounded Dialogue Generation


Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer


Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM


Efficient URLLC with a Reconfigurable Intelligent Surface and Imperfect Device Tracking


Efficient Uncertainty Propagation in Bayesian Two-Step Procedures


Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks


Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching


Efficient Unsupervised Community Search with Pre-trained Graph Transformer


Efficient Unsupervised Shortcut Learning Detection and Mitigation in Transformers


Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing


Efficient Urban-scale Point Clouds Segmentation with BEV Projection


Efficient Urdu Caption Generation using Attention based LSTM


Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks


Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee


Efficient Vector Representation for Documents through Corruption


Efficient Verification of Optimized Code: Correct High-speed X25519


Efficient Vertex-Oriented Polytopic Projection for Web-scale Applications


Efficient Video Action Detection with Token Dropout and Context Refinement


Efficient Video Compression via Content-Adaptive Super-Resolution


Efficient Video Face Enhancement with Enhanced Spatial-Temporal Consistency


Efficient Video Object Segmentation via Modulated Cross-Attention Memory


Efficient Video Object Segmentation via Network Modulation


Efficient Video Super-Resolution through Recurrent Latent Space Propagation


Efficient Virtual View Selection for 3D Hand Pose Estimation


Efficient Vision-Language Pre-training by Cluster Masking


Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment


Efficient Visual Computing with Camera RAW Snapshots


Efficient Visual State Space Model for Image Deblurring


Efficient Visual Tracking via Hierarchical Cross-Attention Transformer


Efficient Visual Tracking with Exemplar Transformers


Efficient Visual Transformer by Learnable Token Merging


Efficient Visuo-Haptic Object Shape Completion for Robot Manipulation


Efficient Wait-k Models for Simultaneous Machine Translation


Efficient Wasserstein Natural Gradients for Reinforcement Learning


Efficient Waveform Covariance Matrix Design and Antenna Selection for MIMO Radar


Efficient Weingarten Map and Curvature Estimation on Manifolds


Efficient Wind Speed Nowcasting with GPU-Accelerated Nearest Neighbors Algorithm


Efficient Wireless Federated Learning via Low-Rank Gradient Factorization


Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination


Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation


Efficient Zero-Order Robust Optimization for Real-Time Model Predictive Control with acados


Efficient Zero-shot Event Extraction with Context-Definition Alignment


Efficient adjustment for complex covariates: Gaining efficiency with DOPE


Efficient algorithm for the oscillatory matrix functions


Efficient algorithms for collecting the statistics of large-scale IP address data


Efficient algorithms for dynamic aperture and momentum acceptance calculation


Efficient algorithms for implementing incremental proximal-point methods


Efficient algorithms for the Hadamard decomposition


Efficient algorithms for the sensitivities of the Pearson correlation coefficient and its statistical significance to online data


Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH


Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes


Efficient and Accurate Explanation Estimation with Distribution Compression


Efficient and Accurate Full-Waveform Inversion with Total Variation Constraint


Efficient and Accurate Machine Learning Interatomic Potential for Graphene: Capturing Stress-Strain and Vibrational Properties


Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients


Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach


Efficient and Accurate Spatial Mixing of Machine Learned Interatomic Potentials for Materials Science


Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution


Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling


Efficient and Differentiable Conformal Prediction with General Function Classes


Efficient and Distributed Large-Scale 3D Map Registration using Tomographic Features


Efficient and Effective Augmentation Strategy for Adversarial Training


Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL


Efficient and Effective Implicit Dynamic Graph Neural Network


Efficient and Effective Model Extraction


Efficient and Effective Query Auto-Completion


Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca


Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment


Efficient and Exact Multimarginal Optimal Transport with Pairwise Costs


Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search


Efficient and Explicit Modelling of Image Hierarchies for Image Restoration


Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation


Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression


Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces


Efficient and High-quality Sparse Graph Coloring on the GPU


Efficient and Interpretable Additive Gaussian Process Regression and Application to Analysis of Hourly-recorded $\text{NO}_2$ Concentrations in London


Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning


Efficient and Interpretable Grammatical Error Correction with Mixture of Experts


Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data


Efficient and Interpretable Traffic Destination Prediction using Explainable Boosting Machines


Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering


Efficient and Lightweight In-memory Computing Architecture for Hardware Security


Efficient and Long-Tailed Generalization for Pre-trained Vision-Language Model


Efficient and Parallel Separable Dictionary Learning


Efficient and Practical Approximation Algorithms for Advertising in Content Feeds


Efficient and Privacy-Preserved Link Prediction via Condensed Graphs


Efficient and Private Marginal Reconstruction with Local Non-Negativity


Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online LiDAR Odometry


Efficient and Reproducible Biomedical Question Answering using Retrieval Augmented Generation


Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer


Efficient and Robust Freeway Traffic Speed Estimation under Oblique Grid using Vehicle Trajectory Data


Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation


Efficient and Robust Long-Form Speech Recognition with Hybrid H3-Conformer


Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks


Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search


Efficient and Robust Quantization-aware Training via Adaptive Coreset Selection


Efficient and Robust Regularized Federated Recommendation


Efficient and Robust Semantic Mapping for Indoor Environments


Efficient and Robust Time-Optimal Trajectory Planning and Control for Agile Quadrotor Flight


Efficient and Scalable Deep Reinforcement Learning for Mean Field Control Games


Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity