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 1071–1080 of 4891 papers

TitleStatusHype
Lightweight Multispectral Crop-Weed Segmentation for Precision Agriculture—0
Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach—0
Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems—0
Solving Nonlinear PDEs with Sparse Radial Basis Function Networks—0
JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections—0
Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets—0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines—0
Monocular Online Reconstruction with Enhanced Detail Preservation—0
Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems—0
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified