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 1491–1500 of 4891 papers

TitleStatusHype
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Efficient and principled score estimation with Nyström kernel exponential familiesCode0
Online Human Action Detection using Joint Classification-Regression Recurrent Neural NetworksCode0
Online Physics-Informed Dynamic Mode Decomposition: Theory and ApplicationsCode0
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPICode0
A Spatially-Aware Multiple Instance Learning Framework for Digital PathologyCode0
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNsCode0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
Data-Driven Filter Design in FBP: Transforming CT Reconstruction with Trainable Fourier SeriesCode0
FastLexRank: Efficient Lexical Ranking for Structuring Social Media PostsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified