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 4021–4030 of 4891 papers

TitleStatusHype
Monocular Real-time Full Body Capture with Inter-part Correlations—0
Learning to Generate Content-Aware Dynamic Detectors—0
IHashNet: Iris Hashing Network based on efficient multi-index hashing—0
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation—0
Forecast with Forecasts: Diversity Matters—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
On Efficiency in Hierarchical Reinforcement Learning—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection Based on Reconstructability of Colors—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified