Paper: Pretraining Recurrent Networks without Recurrence via Transformer Teacher
chrmanning · x · 2026-08-24
The paper "Pretraining Recurrent Networks without Recurrence" proposes a method to bypass traditional RNN training issues by using a Transformer teacher to learn good predictive state representations and supervising the learning of a memory transition function. This is part of the recent revival of recurrent neural network research.
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