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 3891–3900 of 4891 papers

TitleStatusHype
Sparse solutions of the kernel herding algorithm by improved gradient approximation—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
Partitioned Active Learning for Heterogeneous Systems—0
Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials—0
Multi-Resolution Data Fusion for Super Resolution ImagingCode0
Deep Unsupervised Hashing by Distilled Smooth Guidance—0
Energy-optimal Design and Control of Electric Vehicles' Transmissions—0
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization—0
Stability Constrained Mobile Manipulation Planning on Rough Terrain—0
Phase-Space Function Recovery for Moving Target Imaging in SAR by Convex Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified