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 4221–4230 of 4891 papers

TitleStatusHype
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises—0
Curvature Regularized Surface Reconstruction from Point Cloud—0
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis—0
P^2-GAN: Efficient Style Transfer Using Single Style ImageCode0
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition—0
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods—0
Adaptive Direction-Guided Structure Tensor Total Variation—0
A lightweight target detection algorithm based on Mobilenet Convolution—0
One-Shot Coordination of First and Last Mode Transportation—0
Online Continual Learning from Imbalanced Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified