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 4121–4130 of 4891 papers

TitleStatusHype
Different thresholding methods on Nearest Shrunken Centroid algorithm—0
DiffFNO: Diffusion Fourier Neural Operator—0
DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions—0
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Diffusion-Based Joint Temperature and Precipitation Emulation of Earth System Models—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
Diffusion Models for High-Resolution Solar Forecasts—0
Diffusion Models in 3D Vision: A Survey—0
Digital twin-assisted three-dimensional electrical capacitance tomography for multiphase flow imaging—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified