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 1821–1830 of 4891 papers

TitleStatusHype
Fast and Flexible Image Blind Denoising via Competition of Experts—0
Fast and Unified Path Gradient Estimators for Normalizing Flows—0
Fast and Extensible Online Multivariate Kernel Density Estimation—0
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models—0
Fast Barrier Option Pricing by the COS BEM Method in Heston Model—0
Fast and efficient speech enhancement with variational autoencoders—0
Fast and Blind Speech Copy-Move Detection and Localization in Noise—0
Fast and Accurate Surface Normal Integration on Non-Rectangular Domains—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified