A Domain Agnostic Measure for Monitoring and Evaluating GANs

Paulina Grnarova
Paulina Grnarova
Yehuda Kfir Levy
Yehuda Kfir Levy
Nathanael Perraudin
Nathanael Perraudin

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), pp. 12069-12079, 2019.

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Abstract:

Generative Adversarial Networks (GANs) have shown remarkable results in modeling complex distributions, but their evaluation remains an unsettled issue. Evaluations are essential for: (i) relative assessment of different models and (ii) monitoring the progress of a single model throughout training. The latter cannot be determined by simpl...More

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