7 citations · 12 across the 4 of their papers we have counts for
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cs.AI2017★ 7 cited
Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end
Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
In this work we propose a system for visual question answering. Our architecture is composed of two parts, the first part creates the logical knowledge base given the image. The se…
cs.AI2017★ 5 cited
Gradual Tuning: a better way of Fine Tuning the parameters of a Deep Neural Network
Guglielmo Montone, J. Kevin O'Regan, Alexander V. Terekhov
In this paper we present an alternative strategy for fine-tuning the parameters of a network. We named the technique Gradual Tuning. Once trained on a first task, the network is fi…