| Principal component analysis SM Holland Department of Geology, University of Georgia, Athens 30, 602-2501, 2008 | 32 | 2008 |
| Reducing communication overhead in distributed learning by an order of magnitude (almost) A Øland, B Raj 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 23 | 2015 |
| Be careful what you backpropagate: A case for linear output activations & gradient boosting A Oland, A Bansal, RB Dannenberg, B Raj arXiv preprint arXiv:1707.04199, 2017 | 16 | 2017 |
| Foundation models for music: A survey Y Ma, A Øland, A Ragni, BMS Del Sette, C Saitis, C Donahue, C Lin, ... arXiv preprint arXiv:2408.14340, 2024 | 12 | 2024 |
| Voice disguise by mimicry: deriving statistical articulometric evidence to evaluate claimed impersonation R Singh, A Jiménez, A Øland IET Biometrics 6 (4), 282-289, 2017 | 11 | 2017 |
| Machine Learning and its Applications to Music A Øland Machine Learning report. e IT University of Copenhagen (ITU), 2011 | 5 | 2011 |
| Efficient Deep Learning A Oland Carnegie Mellon University, 2024 | 1 | 2024 |
| An OS Service for Efficient Data Communication in Large-Scale Machine Learning Applications A Øland, T Loffredo, Y Zhang | | 2014 |
| Deep Learning Lab# 1 Part 2: Neural Networks A Øland | | 2013 |