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 321–330 of 4891 papers

TitleStatusHype
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems—0
Monocular Online Reconstruction with Enhanced Detail Preservation—0
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers—0
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence—0
OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regions—0
Improving Generalization of Medical Image Registration Foundation ModelCode0
Probing In-Context Learning: Impact of Task Complexity and Model Architecture on Generalization and EfficiencyCode0
Video Dataset Condensation with Diffusion Models—0
Integrating Building Thermal Flexibility Into Distribution System: A Privacy-Preserved Dispatch Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified