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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2421–2430 of 4891 papers

TitleStatusHype
Efficiency in Real-time Webcam Gaze Tracking—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Effects of Reactive Social Distancing on the 1918 Influenza Pandemic—0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
Analytical results for uncertainty propagation through trained machine learning regression models—0
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization—0
Structure and asymptotic preserving deep neural surrogates for uncertainty quantification in multiscale kinetic equations—0
Faster Diffusion Action Segmentation—0
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion—0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified