A Scalable Algorithm for Active Learning

FIRAL is a recently proposed deterministic active learning algorithm for multiclass classification using logistic regression. It was shown to outperform the state-of-the-art in terms of accuracy and robustness and comes with theoretical performance guarantees. However, its scalability suffers when d...

Full description

Saved in:

Bibliographic Details
Published in:	SC24: International Conference for High Performance Computing, Networking, Storage and Analysis pp. 1 - 17
Main Authors:	Chen, Youguang, Wen, Zheyu, Biros, George
Format:	Conference Proceeding
Language:	English
Published:	IEEE 17.11.2024
Subjects:	Accuracy Active learning Approximation algorithms Codes Computational complexity contrastive learning Eigenvalues and eigenfunctions GPU acceleration Iterative methods iterative solvers message passing interface performance analysis randomized linear algebra Scalability Synthetic data Testing
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!