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 2541–2550 of 4891 papers

TitleStatusHype
Data-driven Power Flow Linearization: Theory—0
Vision Mamba: Cutting-Edge Classification of Alzheimer's Disease with 3D MRI Scans—0
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer SimulationCode0
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space ModelCode0
RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning—0
Optimizing Automatic Differentiation with Deep Reinforcement Learning—0
Bayesian Structural Model Updating with Multimodal Variational Autoencoder—0
Monocular Localization with Semantics Map for Autonomous Vehicles—0
Optimal Batched Linear BanditsCode0
Gaussian Primitives for Deformable Image Registration—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified