1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Transferability of Representations Learned using Supervised Contrastive Learning Trained on a Multi-Domain Dataset
Alvin De Jun Tan, Clement Tan, Chai Kiat Yeo
Contrastive learning has shown to learn better quality representations than models trained using cross-entropy loss. They also transfer better to downstream datasets from different…
cs.CV2022★ 1 cited
Inferring Past Human Actions in Homes with Abductive Reasoning
Clement Tan, Chai Kiat Yeo, Cheston Tan +1
Abductive reasoning aims to make the most likely inference for a given set of incomplete observations. In this paper, we introduce "Abductive Past Action Inference", a novel resear…
cs.LG2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Alvin Chan, Yew-Soon Ong, Clement Tan
Model robustness is vital for the reliable deployment of machine learning models in real-world applications. Recent studies have shown that data augmentation can result in model ov…