642 citations · 3.9k across the 143 of their papers we have counts for
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On the Limitations of General Purpose Domain Generalisation Methods
Henry Gouk, Ondrej Bohdal, Da Li +1
We investigate the fundamental performance limitations of learning algorithms in several Domain Generalisation (DG) settings. Motivated by the difficulty with which previously prop…
Distance-Based Regularisation of Deep Networks for Fine-Tuning
Henry Gouk, Timothy M. Hospedales, Massimiliano Pontil
We investigate approaches to regularisation during fine-tuning of deep neural networks. First we provide a neural network generalisation bound based on Rademacher complexity that u…
A Unified Perspective on Multi-Domain and Multi-Task Learning
Yongxin Yang, Timothy M. Hospedales
In this paper, we provide a new neural-network based perspective on multi-task learning (MTL) and multi-domain learning (MDL). By introducing the concept of a semantic descriptor,…