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 3331–3340 of 4891 papers

TitleStatusHype
Revisiting DeepFool: generalization and improvementCode0
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games—0
A Novel and Optimal Spectral Method for Permutation Synchronization—0
Optimized preprocessing and Tiny ML for Attention State Classification—0
GNN-Assisted Phase Space Integration with Application to Atomistics—0
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPICode0
A Spatio-temporal Decomposition Method for the Coordinated Economic Dispatch of Integrated Transmission and Distribution Grids—0
XVoxel-Based Parametric Design Optimization of Feature Models—0
HDformer: A Higher Dimensional Transformer for Diabetes Detection Utilizing Long Range Vascular Signals—0
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy ReductionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified