Baharan Mirzasoleiman

One approach for reducing run time and improving efficiency of machine learning is to reduce the convergence rate of the optimization algorithm used. Shuffling is an algorithm technique that is widely used in machine learning, but it only started to gain attention theoretically in recent years.

[Submitted on 18 Feb 2023 ( v1 ), last revised 11 May 2023 (this version, v3)] Title:Data-Efficient Contrastive Self-supervised Learning: Easy Examples Contribute the Most Download a PDF of the paper titled Data-Efficient Contrastive Self-supervised Learning: Easy Examples Contribute the Most, by Siddharth Joshi and Baharan Mirzasoleiman Download PDF Abstract: Self-supervised learning (SSL) learns high-quality representations from large pools of unlabeled training data.