Thinking like a machine — generating visual rationales through latent space optimization

ICLR 2018 Jarrel SeahJennifer TangAndy KitchenJonathan Seah

Interpretability and small labelled datasets are key issues in the practical application of deep learning, particularly in areas such as medicine. In this paper, we present a semi-supervised technique that addresses both these issues simultaneously... (read more)

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