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

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Showing 3511–3520 of 4891 papers

TitleStatusHype
An Efficient Hierarchical Preconditioner-Learner Architecture for Reconstructing Multi-scale Basis Functions of High-dimensional Subsurface Fluid Flow—0
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
An Efficient Privacy-aware Split Learning Framework for Satellite Communications—0
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
An efficient search-and-score algorithm for ancestral graphs using multivariate information scores—0
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified