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 2181–2190 of 4891 papers

TitleStatusHype
D-CODE: Data Colony Optimization for Dynamic Network Efficiency—0
SUTRA: Scalable Multilingual Language Model Architecture—0
High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour DetectionCode1
LightTR: A Lightweight Framework for Federated Trajectory RecoveryCode0
Retinexmamba: Retinex-based Mamba for Low-light Image EnhancementCode2
BetterNet: An Efficient CNN Architecture with Residual Learning and Attention for Precision Polyp SegmentationCode1
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer—0
Show:102550
← PrevPage 219 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified