Learning Hard Alignments with Variational Inference

16 May 2017Dieterich LawsonChung-Cheng ChiuGeorge TuckerColin RaffelKevin SwerskyNavdeep Jaitly

There has recently been significant interest in hard attention models for tasks such as object recognition, visual captioning and speech recognition. Hard attention can offer benefits over soft attention such as decreased computational cost, but training hard attention models can be difficult because of the discrete latent variables they introduce... (read more)

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