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 4531–4540 of 4891 papers

TitleStatusHype
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models—0
Fast Task-Aware Architecture Inference—0
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer—0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
Feature Aggregating Network with Inter-Frame Interaction for Efficient Video Super-Resolution—0
Feature Analysis for Machine Learning-based IoT Intrusion Detection—0
Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering—0
Feature Network Methods in Machine Learning and Applications—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified