SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1451–1500 of 4891 papers

TitleStatusHype
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam—0
Echo State Networks for Spatio-Temporal Area-Level Data—0
Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach—0
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization—0
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics—0
Benchmarking Video Frame Interpolation—0
Edge2Vec: A High Quality Embedding for the Jigsaw Puzzle Problem—0
Edge-AI for Agriculture: Lightweight Vision Models for Disease Detection in Resource-Limited Settings—0
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study—0
Do global forecasting models require frequent retraining?—0
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications—0
Effective Interplay between Sparsity and Quantization: From Theory to Practice—0
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion—0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
Effects of Reactive Social Distancing on the 1918 Influenza Pandemic—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Efficiency in Real-time Webcam Gaze Tracking—0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
Efficient Action Recognition Using Confidence Distillation—0
Efficient Active Learning for Gaussian Process Classification by Error Reduction—0
DN-ResNet: Efficient Deep Residual Network for Image Denoising—0
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization—0
DNN-Compressed Domain Visual Recognition with Feature Adaptation—0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting—0
Beyond Sentence-Level End-to-End Speech Translation: Context Helps—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
DNA cyclization and looping in the wormlike limit: normal modes and the validity of the harmonic approximation—0
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction—0
Adaptive Attention-Based Model for 5G Radio-based Outdoor Localization—0
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network—0
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN—0
DMRA: An Adaptive Line Spectrum Estimation Method through Dynamical Multi-Resolution of Atoms—0
Efficient and Effective Deep Multi-view Subspace Clustering—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform—0
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
DLCM: a versatile multi-level solver for heterogeneous multicellular systems—0
Backup Plan Constrained Model Predictive Control—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach—0
Adaptive and oblivious statistical adversaries are equivalent—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified