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 2771–2780 of 4891 papers

TitleStatusHype
Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation—0
Small Vision-Language Models: A Survey on Compact Architectures and Techniques—0
Smart Forgetting for Safe Online Learning with Gaussian Processes—0
Smart Interference Management xApp using Deep Reinforcement Learning—0
Smart machines and the SP theory of intelligence—0
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning—0
Smell of Source: Learning-Based Odor Source Localization with Molecular Communication—0
Smoothing Dynamic Systems with State-Dependent Covariance Matrices—0
Smooth Robustness Measures for Symbolic Control Via Signal Temporal Logic—0
Statistical and Computational Efficiency for Smooth Tensor Estimation with Unknown Permutations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified