2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Cut-Paste Consistency Learning for Semi-Supervised Lesion Segmentation
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 tas…
cs.CV2021★ 2 cited
Semi-weakly Supervised Contrastive Representation Learning for Retinal Fundus Images
Boon Peng Yap, Beng Koon Ng
We explore the value of weak labels in learning transferable representations for medical images. Compared to hand-labeled datasets, weak or inexact labels can be acquired in large…
cs.CL2020
Adapting BERT for Word Sense Disambiguation with Gloss Selection Objective and Example Sentences
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. In this wor…