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ANC Workshop: Ryan Davies, Chair: James Owers

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What
  • ANC Workshop Talk
When Feb 05, 2019
from 11:00 AM to 12:00 PM
Where IF 4.31/33
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Title: Explaining Deep Neural Networks with Deep Neural Networks


Abstract: Deep neural networks are black-box models, meaning it can be difficult to understand the reasons the model makes the decisions it makes. Recently, a number of methods have been proposed to generate explanations of the network's output in a way that can be understood by people. One popular method, LIME (Ribeiro et al. 2016), provides explanations in the form of a linear model. However, the process of generating the explanation can be time consuming, particularly if explanations for a large number of points are desired. I will talk about our current work, where we aim to use another deep neural network (a 'Metanetwork') to approximate a function that maps from instances in the dataset to explanations for the decision made by the model being explained. This would allow explanations for a large number of points to be generated using only a forward pass of the 'Metanetwork'.