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 2361–2370 of 4891 papers

TitleStatusHype
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation—0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)—0
Efficient Diffusion Models for Vision: A Survey—0
Bi-l0-l2-Norm Regularization for Blind Motion Deblurring—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified