5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Meta Mirror Descent: Optimiser Learning for Fast Convergence
Boyan Gao, Henry Gouk, Hae Beom Lee +1
Optimisers are an essential component for training machine learning models, and their design influences learning speed and generalisation. Several studies have attempted to learn m…
cs.LG2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks
Boyan Gao, Henry Gouk, Timothy M. Hospedales
We present a "learning to learn" approach for automatically constructing white-box classification loss functions that are robust to label noise in the training data. We parameteriz…
cs.LG2019★ 5 cited
Deep clustering with concrete k-means
Boyan Gao, Yongxin Yang, Henry Gouk +1
We address the problem of simultaneously learning a k-means clustering and deep feature representation from unlabelled data, which is of interest due to the potential of deep k-mea…