8 citations · 14 across the 7 of their papers we have counts for
14 papers
Generalisation and the Risk--Entropy Curve
Dominic Belcher, Antonia Marcu, Adam Prügel-Bennett
In this paper we show that the expected generalisation performance of a learning machine is determined by the distribution of risks or equivalently its logarithm -- a quantity we t…
Orthogonalising gradients to speed up neural network optimisation
Mark Tuddenham, Adam Prügel-Bennett, Jonathan Hare
The optimisation of neural networks can be sped up by orthogonalising the gradients before the optimisation step, ensuring the diversification of the learned representations. We or…
Language Models as Zero-shot Visual Semantic Learners
Yue Jiao, Jonathon Hare, Adam Prügel-Bennett
Visual Semantic Embedding (VSE) models, which map images into a rich semantic embedding space, have been a milestone in object recognition and zero-shot learning. Current approache…
What Remains of Visual Semantic Embeddings
Yue Jiao, Jonathon Hare, Adam Prügel-Bennett
Zero shot learning (ZSL) has seen a surge in interest over the decade for its tight links with the mechanism making young children recognize novel objects. Although different parad…
Object detection for crabs in top-view seabed imagery
Vlad Velici, Adam Prügel-Bennett
This report presents the application of object detection on a database of underwater images of different species of crabs, as well as aerial images of sea lions and finally the Pas…
RotLSTM: Rotating Memories in Recurrent Neural Networks
Vlad Velici, Adam Prügel-Bennett
Long Short-Term Memory (LSTM) units have the ability to memorise and use long-term dependencies between inputs to generate predictions on time series data. We introduce the concept…