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 4081–4090 of 4891 papers

TitleStatusHype
Collaborative Group Learning—0
Fixed Inducing Points Online Bayesian Calibration for Computer Models with an Application to a Scale-Resolving CFD Simulation—0
Extracting Optimal Solution Manifolds using Constrained Neural Optimization—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Low-Rank Training of Deep Neural Networks for Emerging Memory Technology—0
Isotonic regression with unknown permutations: Statistics, computation, and adaptation—0
Efficiency in Real-time Webcam Gaze Tracking—0
Is the space complexity of planted clique recovery the same as that of detection?—0
Locally induced Gaussian processes for large-scale simulation experiments—0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified