Shaping representations through communication: community size effect in artificial learning systems

12 Dec 2019Olivier TielemanAngeliki LazaridouShibl MouradCharles BlundellDoina Precup

Motivated by theories of language and communication that explain why communities with large numbers of speakers have, on average, simpler languages with more regularity, we cast the representation learning problem in terms of learning to communicate. Our starting point sees the traditional autoencoder setup as a single encoder with a fixed decoder partner that must learn to communicate... (read more)

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