RSE
Residual Shuffle-Exchange Network
**Residual Shuffle-Exchange Network** is an efficient alternative to models using an attention mechanism that allows the modelling of long-range dependencies in sequences in O(n log n) time. This model achieved state-of-the-art performance on the MusicNet dataset for music transcription while being able to run inference on a single GPU fast enough to be suitable for real-time audio processing.
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
https://paperswithcode.com/paper/residual-shuffle-exchange-networks-for-fast
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences