Probing Representations Learned by Multimodal Recurrent and Transformer Models

29 Aug 2019Jindřich LibovickýPranava Madhyastha

Recent literature shows that large-scale language modeling provides excellent reusable sentence representations with both recurrent and self-attentive architectures. However, there has been less clarity on the commonalities and differences in the representational properties induced by the two architectures... (read more)

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