238 citations · 506 across the 29 of their papers we have counts for
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stat.ML2017
Invariances and Data Augmentation for Supervised Music Transcription
John Thickstun, Zaid Harchaoui, Dean Foster +1
This paper explores a variety of models for frame-based music transcription, with an emphasis on the methods needed to reach state-of-the-art on human recordings. The translation-i…
stat.ML2016★ 136 cited
Learning Features of Music from Scratch
John Thickstun, Zaid Harchaoui, Sham Kakade
This paper introduces a new large-scale music dataset, MusicNet, to serve as a source of supervision and evaluation of machine learning methods for music research. MusicNet consist…