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 3041–3050 of 4891 papers

TitleStatusHype
Streamlining Brain Tumor Classification with Custom Transfer Learning in MRI Images—0
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer—0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization—0
Applications of ML-Based Surrogates in Bayesian Approaches to Inverse Problems—0
Effortless Cross-Platform Video Codec: A Codebook-Based Method—0
spateGAN: Spatio-Temporal Downscaling of Rainfall Fields Using a cGAN ApproachCode0
TpopT: Efficient Trainable Template Optimization on Low-Dimensional Manifolds—0
Efficient and Effective Deep Multi-view Subspace Clustering—0
Re-initialization-free Level Set Method via Molecular Beam Epitaxy Equation Regularization for Image Segmentation—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified