1 code implementation • 1 Oct 2022 • Boon Peng Yap, Beng Koon Ng
Semi-supervised learning has the potential to improve the data-efficiency of training data-hungry deep neural networks, which is especially important for medical image analysis tasks where labeled data is scarce.
1 code implementation • 4 Aug 2021 • Boon Peng Yap, Beng Koon Ng
We consider weak labels in the form of pseudo-labels and propose a semi-weakly supervised contrastive learning (SWCL) framework for representation learning using semi-weakly annotated images.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Boon Peng Yap, Andrew Koh, Eng Siong Chng
Domain adaptation or transfer learning using pre-trained language models such as BERT has proven to be an effective approach for many natural language processing tasks.