Efficient Sparse Selective-Update RNNs for Long-Range Sequence Modeling
arXiv:2603.02226v2 Announce Type: replace
Abstract: Real-world sequential signals, such as audio or video, contain critical information that is often embedded within long periods of silence or noise. While recurrent neural networks (RNNs) are designed…