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 871–880 of 4891 papers

TitleStatusHype
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind DeconvolutionCode0
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
A non-alternating graph hashing algorithm for large scale image searchCode0
Hyperbolic Procrustes Analysis Using Riemannian GeometryCode0
A class of modular and flexible covariate-based covariance functions for nonstationary spatial modelingCode0
An Interpretable and Efficient Sleep Staging Algorithm: DetectsleepNetCode0
Adjusted chi-square test for degree-corrected block modelsCode0
Show:102550
← PrevPage 88 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified