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 851–860 of 4891 papers

TitleStatusHype
A parametric framework for kernel-based dynamic mode decomposition using deep learningCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Implicit and Parametric Avatar Pose and Shape Estimation From a Single Frontal Image of a Clothed HumanCode0
Implicit Regularization for Optimal Sparse RecoveryCode0
Improving Generalization of Medical Image Registration Foundation ModelCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
ICLabel: An automated electroencephalographic independent component classifier, dataset, and websiteCode0
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAMCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen BindingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified