| On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv:2108.07258, 2021 | 3700 | 2021 |
| Adversarial Audio Synthesis C Donahue, J McAuley, M Puckette (ICLR 2019) International Conference on Learning Representations, 2019 | 982* | 2019 |
| GANSynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts (ICLR 2019) International Conference on Learning Representations, 2019 | 538 | 2019 |
| Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition C Donahue, B Li, R Prabhavalkar (ICASSP 2018) International Conference on Acoustics, Speech, and Signal …, 2018 | 278 | 2018 |
| Enabling Language Models to Fill in the Blanks C Donahue, M Lee, P Liang (ACL 2020) Annual Conference of the Association for Computational Linguistics, 2020 | 201 | 2020 |
| It's Raw! Audio Generation with State-Space Models K Goel, A Gu, C Donahue, C Ré (ICML 2022) International Conference on Machine Learning, 2022 | 169 | 2022 |
| LakhNES: Improving multi-instrumental music generation with cross-domain pre-training C Donahue, HH Mao, YE Li, GW Cottrell, J McAuley (ISMIR 2019) International Society for Music Information Retrieval Conference, 2019 | 147 | 2019 |
| Semantically Decomposing the Latent Spaces of Generative Adversarial Networks C Donahue, ZC Lipton, A Balsubramani, J McAuley (ICLR 2018) International Conference on Learning Representations, 2018 | 136 | 2018 |
| Codified audio language modeling learns useful representations for music information retrieval R Castellon, C Donahue, P Liang (ISMIR 2021) International Society for Music Information Retrieval Conference, 2021 | 96 | 2021 |
| Dance Dance Convolution C Donahue, ZC Lipton, J McAuley (ICML 2017) International Conference on Machine Learning, 2017 | 66 | 2017 |
| On the opportunities and risks of foundation models (2021) R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2022 | 50 | 2022 |
| Piano Genie C Donahue, I Simon, S Dieleman (ACM IUI 2019) ACM Conference on Intelligent User Interfaces, 2018 | 50 | 2018 |
| SingSong: Generating musical accompaniments from singing C Donahue, A Caillon, A Roberts, E Manilow, P Esling, A Agostinelli, ... arXiv:2301.12662, 2023 | 45 | 2023 |
| The NES Music Database: A multi-instrumental dataset with expressive performance attributes C Donahue, HH Mao, J McAuley (ISMIR 2018) International Society for Music Information Retrieval Conference, 2018 | 37 | 2018 |
| Expediting TTS Synthesis with Adversarial Vocoding P Neekhara, C Donahue, M Puckette, S Dubnov, J McAuley INTERSPEECH 2019, 2019 | 29 | 2019 |
| Music controlnet: Multiple time-varying controls for music generation SL Wu, C Donahue, S Watanabe, NJ Bryan IEEE/ACM Transactions on Audio, Speech, and Language Processing 32, 2692-2703, 2024 | 26 | 2024 |
| Melody transcription via generative pre-training C Donahue, J Thickstun, P Liang (ISMIR 2022) International Society for Music Information Retrieval Conference, 2022 | 19* | 2022 |
| SWORDS ⚔: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality M Lee, C Donahue, R Jia, A Iyabor, P Liang (NAACL 2021) Conference of the North American Chapter of the Association for …, 2021 | 16* | 2021 |
| Anticipatory music transformer J Thickstun, D Hall, C Donahue, P Liang arXiv preprint arXiv:2306.08620, 2023 | 14 | 2023 |
| Towards realistic MIDI instrument synthesizers R Castellon, C Donahue, P Liang (NeurIPS Workshop 2020) NeurIPS Workshop on Machine Learning for Creativity …, 2020 | 11 | 2020 |
Julian McAuleyProfessor, UC San DiegoEmail verificata su eng.ucsd.edu
