7 citations · 12 across the 4 of their papers we have counts for
3 papers · 1 filter
Learning abstract perceptual notions: the example of space
Alexander V. Terekhov, J. Kevin O'Regan
Humans are extremely swift learners. We are able to grasp highly abstract notions, whether they come from art perception or pure mathematics. Current machine learning techniques de…
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…
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…