Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023 | 3812 | 2023 |
A neural representation of sketch drawings D Ha, D Eck ICLR 2018, 2018 | 995 | 2018 |
Neural audio synthesis of musical notes with wavenet autoencoders J Engel, C Resnick, A Roberts, S Dieleman, D Eck, K Simonyan, ... ICML 2017, 2017 | 717 | 2017 |
Applying LSTM to time series predictable through time-window approaches FA Gers, D Eck, J Schmidhuber International conference on artificial neural networks, 669-676, 2001 | 662 | 2001 |
A hierarchical latent vector model for learning long-term structure in music A Roberts, J Engel, C Raffel, C Hawthorne, D Eck International conference on machine learning, 4364-4373, 2018 | 555 | 2018 |
Enabling factorized piano music modeling and generation with the MAESTRO dataset C Hawthorne, A Stasyuk, A Roberts, I Simon, CZA Huang, S Dieleman, ... arXiv preprint arXiv:1810.12247, 2018 | 484 | 2018 |
A first look at music composition using lstm recurrent neural networks D Eck, J Schmidhuber Istituto Dalle Molle Di Studi Sull Intelligenza Artificiale 103 (4), 48-56, 2002 | 431 | 2002 |
Learning features from music audio with deep belief networks. P Hamel, D Eck ISMIR 10, 339-344, 2010 | 418 | 2010 |
Aggregate features and AdaBoost for music classification J Bergstra, N Casagrande, D Erhan, D Eck, B Kégl Machine learning 65 (2-3), 473-484, 2006 | 402 | 2006 |
Deduplicating training data makes language models better K Lee, D Ippolito, A Nystrom, C Zhang, D Eck, C Callison-Burch, N Carlini arXiv preprint arXiv:2107.06499, 2021 | 384 | 2021 |
Finding temporal structure in music: Blues improvisation with LSTM recurrent networks D Eck, J Schmidhuber Proceedings of the 12th IEEE workshop on neural networks for signal …, 2002 | 343 | 2002 |
Onsets and frames: Dual-objective piano transcription C Hawthorne, E Elsen, J Song, A Roberts, I Simon, C Raffel, J Engel, ... arXiv preprint arXiv:1710.11153, 2017 | 326 | 2017 |
Automatic generation of social tags for music recommendation D Eck, P Lamere, T Bertin-Mahieux, S Green NIPS: Advances in Neural Information Processing Systems, 385-392, 2008 | 310 | 2008 |
Online and linear-time attention by enforcing monotonic alignments C Raffel, T Luong, PJ Liu, RJ Weiss, D Eck ICML 2017, 2017 | 307 | 2017 |
Automatic detection of generated text is easiest when humans are fooled D Ippolito, D Duckworth, C Callison-Burch, D Eck arXiv preprint arXiv:1911.00650, 2019 | 264 | 2019 |
This time with feeling: learning expressive musical performance S Oore, I Simon, S Dieleman, D Eck, K Simonyan Neural Computing and Applications 32, 955-967, 2020 | 246 | 2020 |
Counterpoint by convolution CZA Huang, T Cooijmans, A Roberts, A Courville, D Eck ISMIR 2017, 2016 | 187 | 2016 |
Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control N Jaques, S Gu, D Bahdanau, JM Hernández-Lobato, RE Turner, D Eck ICLR 2017, 2016 | 180 | 2016 |
Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets JA Pérez-Ortiz, FA Gers, D Eck, J Schmidhuber Neural Networks 16 (2), 241-250, 2003 | 162 | 2003 |
Generating a playlist GA Heitz III, A Berenzweig, JE Weston, RJ Weiss, SA Goldman, T Walters, ... US Patent 10,055,493, 2018 | 161 | 2018 |