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Found 3 papers, 1 papers with code
Understanding How Encoder-Decoder Architectures Attend
Moreover, how these mechanisms vary depending on the particular architecture used for the encoder and decoder (recurrent, feed-forward, etc.)
The geometry of integration in text classification RNNs
Using tools from dynamical systems analysis, we study recurrent networks trained on a battery of both natural and synthetic text classification tasks.
On the asymptotics of wide networks with polynomial activations
We consider an existing conjecture addressing the asymptotic behavior of neural networks in the large width limit.
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