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 2281–2290 of 4891 papers

TitleStatusHype
Efficient Relational Learning with Hidden Variable Detection—0
Bottom-up robust modeling for the foraging behavior of Physarum polycephalum—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data—0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
Noise-Aware Ensemble Learning for Efficient Radar Modulation Recognition—0
BOOST: Microgrid Sizing using Ordinal Optimization—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
Efficient Polyp Segmentation Via Integrity Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified