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 4271–4280 of 4891 papers

TitleStatusHype
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Efficient Degradation-aware Any Image Restoration—0
Efficient Detection of Toxic Prompts in Large Language Models—0
Efficient Detector Adaptation for Object Detection in a Video—0
Efficient Diffusion Models for Vision: A Survey—0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation—0
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified