255 citations · 1.2k across the 38 of their papers we have counts for
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stat.ML2016★ 181 cited
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo, Zhuo Chen, John R. Hershey +2
Deep clustering is the first method to handle general audio separation scenarios with multiple sources of the same type and an arbitrary number of sources, performing impressively…
stat.ML2016★ 111 cited
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John R. Hershey +2
Recurrent neural networks are powerful models for processing sequential data, but they are generally plagued by vanishing and exploding gradient problems. Unitary recurrent neural…