328 citations · 429 across the 10 of their papers we have counts for
3 papers · 1 filter
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Yunqing Zhao +1
This work investigates the compatibility between label smoothing (LS) and knowledge distillation (KD). Contemporary findings addressing this thesis statement take dichotomous stand…
InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning
Kwot Sin Lee, Ngoc-Trung Tran, Ngai-Man Cheung
While Generative Adversarial Networks (GANs) are fundamental to many generative modelling applications, they suffer from numerous issues. In this work, we propose a principled fram…
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran +3
Recently, the introduction of the generative adversarial network (GAN) and its variants has enabled the generation of realistic synthetic samples, which has been used for enlarging…