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 4111–4120 of 4891 papers

TitleStatusHype
Oblique Predictive Clustering TreesCode0
Langevin Monte Carlo: random coordinate descent and variance reduction—0
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor—0
A Novel Mobility Model to Support the Routing of Mobile Energy Resources—0
Privacy Preserving Visual SLAM—0
Supervised clustering of high dimensional data using regularized mixture modeling—0
Transferred Energy Management Strategies for Hybrid Electric Vehicles Based on Driving Conditions Recognition—0
Approximate XVA for European claims—0
Allpass Feedback Delay Networks—0
VINNAS: Variational Inference-based Neural Network Architecture Search—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified