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 1631–1640 of 4891 papers

TitleStatusHype
CR-CTC: Consistency regularization on CTC for improved speech recognition—0
Granular Ball Twin Support Vector MachineCode0
IGroupSS-Mamba: Interval Group Spatial-Spectral Mamba for Hyperspectral Image Classification—0
Diffusion Models in 3D Vision: A Survey—0
Bisimulation metric for Model Predictive ControlCode0
Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets—0
Spectral Densities, Structured Noise and Ensemble Averaging within Open Quantum Dynamics—0
Improving Temporal Link Prediction via Temporal Walk Matrix ProjectionCode1
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions—0
STONE: A Submodular Optimization Framework for Active 3D Object DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified