Order-Dependent Prediction over Variable-Length Sequences

everything downstream exists because the input has an order and no fixed length, and shuffling it destroys the label

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PyTorch Vanilla RNN Architecture and Backpropagation Through Time for Sequence Modeling in NLP

Vanilla Recurrent Neural Networks (RNNs) operate by maintaining a shared hidden state updated through recurrence equations that compress historical input sequences into current representations to han…