Search Results for author:
Found 3 papers, 1 papers with code
Masked Audio Generation using a Single Non-Autoregressive Transformer
We introduce MAGNeT, a masked generative sequence modeling method that operates directly over several streams of audio tokens.
Depth Enables Long-Term Memory for Recurrent Neural Networks
A key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ability to model intricate long-term temporal dependencies.
On the Long-Term Memory of Deep Recurrent Networks
A key attribute that drives the unprecedented success of modern Recurrent Neural Networks (RNNs) on learning tasks which involve sequential data, is their ability to model intricate long-term temporal dependencies.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
