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 4141–4150 of 4891 papers

TitleStatusHype
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones—0
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 SegmentationCode1
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective—0
Biophysically detailed mathematical models of multiscale cardiac active mechanicsCode0
Scaling Bayesian inference of mixed multinomial logit models to very large datasets—0
Encoder blind combinatorial compressed sensing—0
Cortical surface registration using unsupervised learningCode0
Towards Reusable Network Components by Learning Compatible Representations—0
Direct loss minimization algorithms for sparse Gaussian processesCode0
Radon cumulative distribution transform subspace modeling for image classificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified