1 code implementation • 20 Apr 2022 • Thien Hang Nguyen, Hongyang R. Zhang, Huy Le Nguyen
Given a limited amount of group labels at training time, Just Train Twice (Liu et al., 2021), or JTT in short, is a two-stage method that infers a pseudo group label for every unlabeled example first, then applies group DRO based on the inferred group labels.
no code implementations • 10 Mar 2021 • Huy Le Nguyen, Dominique Chu
In the ubiquitous Iris and MNIST datasets, our algorithm achieves competitive predictive performance with state-of-the-art approaches.
no code implementations • 3 Mar 2021 • Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Lam Pham, Philipp Koch, Ian McLoughlin, Alfred Mertins
The learned embedding in the subnetworks are then concatenated to form the multi-view embedding for classification similar to a simple concatenation network.
no code implementations • 15 Feb 2021 • Konstantina Bairaktari, Huy Le Nguyen, Jonathan Ullman
The rise of algorithmic decision-making has created an explosion of research around the fairness of those algorithms.
no code implementations • 14 Dec 2020 • Dominique Chu, Huy Le Nguyen
In the case of pure Hebbian learning, we find that the normalised weights equal the promotion probabilities of weights up to correction terms that depend on the learning rate and are usually small.
1 code implementation • 18 Oct 2020 • Huy Phan, Huy Le Nguyen, Oliver Y. Chén, Philipp Koch, Ngoc Q. K. Duong, Ian McLoughlin, Alfred Mertins
Existing generative adversarial networks (GANs) for speech enhancement solely rely on the convolution operation, which may obscure temporal dependencies across the sequence input.