| Exploring the limits of transfer learning with a unified text-to-text transformer C Raffel*, N Shazeer*, A Roberts*, K Lee*, S Narang, M Matena, Y Zhou, ... arXiv preprint arXiv:1910.10683, 2019 | 15982 | 2019 |
| Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks C Trapnell, A Roberts, L Goff, G Pertea, D Kim, DR Kelley, H Pimentel, ... Nature Protocols 7 (3), 562-578, 2012 | 12880 | 2012 |
| 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 | 3823 | 2023 |
| Scaling instruction-finetuned language models HW Chung, L Hou, S Longpre, B Zoph, Y Tay, W Fedus, Y Li, X Wang, ... Journal of Machine Learning Research 25 (70), 1-53, 2024 | 1968 | 2024 |
| mT5: A massively multilingual pre-trained text-to-text transformer L Xue*, N Constant*, A Roberts*, M Kale, R Al-Rfou, A Siddhant, A Barua, ... arXiv preprint arXiv:2010.11934, 2020 | 1910 | 2020 |
| Improving RNA-Seq expression estimates by correcting for fragment bias A Roberts, C Trapnell, J Donaghey, JL Rinn, L Pachter Genome biology 12, 1-14, 2011 | 1518 | 2011 |
| Extracting training data from large language models N Carlini, F Tramer, E Wallace, M Jagielski, A Herbert-Voss, K Lee, ... 30th USENIX Security Symposium (USENIX Security 21), 2633-2650, 2021 | 1361 | 2021 |
| Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ... | 1280 | 2023 |
| Lamda: Language models for dialog applications R Thoppilan, D De Freitas, J Hall, N Shazeer, A Kulshreshtha, HT Cheng, ... arXiv preprint arXiv:2201.08239, 2022 | 1217 | 2022 |
| Identification of novel transcripts in annotated genomes using RNA-Seq A Roberts, H Pimentel, C Trapnell, L Pachter Bioinformatics 27 (17), 2325-2329, 2011 | 1209 | 2011 |
| Streaming fragment assignment for real-time analysis of sequencing experiments A Roberts, L Pachter Nature Methods, 2012 | 1078 | 2012 |
| How much knowledge can you pack into the parameters of a language model? A Roberts*, C Raffel*, N Shazeer arXiv preprint arXiv:2002.08910, 2020 | 724 | 2020 |
| Neural audio synthesis of musical notes with wavenet autoencoders J Engel, C Resnick, A Roberts, S Dieleman, M Norouzi, D Eck, ... International Conference on Machine Learning, 1068-1077, 2017 | 713 | 2017 |
| 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 | 556 | 2018 |
| Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019 | 516 | 2019 |
| 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 | 482 | 2018 |
| Crosslingual generalization through multitask finetuning N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ... arXiv preprint arXiv:2211.01786, 2022 | 432 | 2022 |
| DDSP: Differentiable digital signal processing J Engel, L Hantrakul, C Gu, A Roberts arXiv preprint arXiv:2001.04643, 2020 | 431 | 2020 |
| Fast statistical alignment RK Bradley, A Roberts, M Smoot, S Juvekar, J Do, C Dewey, I Holmes, ... PLoS computational biology 5 (5), e1000392, 2009 | 410 | 2009 |
| The flan collection: Designing data and methods for effective instruction tuning S Longpre, L Hou, T Vu, A Webson, HW Chung, Y Tay, D Zhou, QV Le, ... International Conference on Machine Learning, 22631-22648, 2023 | 391 | 2023 |
Colin RaffelUniversity of Toronto, Vector Institute and Hugging Face在 cs.toronto.edu 的电子邮件经过验证
