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 2911–2920 of 4891 papers

TitleStatusHype
SUGAR: Spherical Ultrafast Graph Attention Framework for Cortical Surface Registration—0
Suitability of Quantized DEVS LIM Methods for Simulation of Power Systems—0
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search—0
SuperCLUE-Fin: Graded Fine-Grained Analysis of Chinese LLMs on Diverse Financial Tasks and Applications—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
SuperMat: Physically Consistent PBR Material Estimation at Interactive Rates—0
Super-Resolution Channel Estimation for Arbitrary Arrays in Hybrid Millimeter-Wave Massive MIMO Systems—0
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams—0
Supervised clustering of high dimensional data using regularized mixture modeling—0
Supervised Fuzzy Partitioning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified