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 1321–1330 of 4891 papers

TitleStatusHype
Fixed-Mean Gaussian Processes for Post-hoc Bayesian Deep LearningCode0
A Spatial-Domain Coordinated Control Method for CAVs at Unsignalized Intersections Considering Motion Uncertainty—0
NeRF and Gaussian Splatting SLAM in the WildCode1
Online Physics-Informed Dynamic Mode Decomposition: Theory and ApplicationsCode0
Style3D: Attention-guided Multi-view Style Transfer for 3D Object Generation—0
Granular Ball Twin Support Vector Machine with Universum Data—0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease ClassificationCode2
Optimized CNNs for Rapid 3D Point Cloud Object Recognition—0
Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified