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
Accurate and efficient Simulation of very high-dimensional Neural Mass Models with distributed-delay Connectome Tensors—0
Collaborative Group Learning—0
MATS: An Interpretable Trajectory Forecasting Representation for Planning and ControlCode1
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
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-DesignCode1
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified