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 1511–1520 of 4891 papers

TitleStatusHype
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPICode0
Data-based stochastic modeling reveals sources of activity bursts in single-cell TGF-β signalingCode0
A simple yet effective baseline for non-attributed graph classificationCode0
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and ApplicationsCode0
Partially Stochastic Infinitely Deep Bayesian Neural NetworksCode0
FasterVideo: Efficient Online Joint Object Detection And TrackingCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Fast Decision Boundary based Out-of-Distribution DetectorCode0
A Bootstrap-based Method for Testing Network SimilarityCode0
Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse SupportCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified