Adam Roberts

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Colin RaffelUniversity of Toronto, Vector Institute and Hugging FaceCorreu electrònic verificat a cs.toronto.edu
Jesse H. EngelGoogle DeepMindCorreu electrònic verificat a google.com
Lior PachterBren Professor of Computational Biology, CaltechCorreu electrònic verificat a caltech.edu
Noam ShazeerCharacter.aiCorreu electrònic verificat a character.ai
Cole TrapnellAssociate Professor, Dept. of Genome Sciences, University of WashingtonCorreu electrònic verificat a uw.edu
Douglas EckGoogle Research, Brain TeamCorreu electrònic verificat a google.com
Curtis HawthorneAdeptCorreu electrònic verificat a adept.ai
Harold PimentelAssistant Professor, UCLACorreu electrònic verificat a ucla.edu
Ian SimonGoogle BrainCorreu electrònic verificat a cs.washington.edu
Steven SalzbergBloomberg Distinguished Professor, Johns Hopkins UniversityCorreu electrònic verificat a jhu.edu
Geo PerteaData/Software Engineer, Lieber Institute for Brain DevelopmentCorreu electrònic verificat a jhu.edu
Loyal A. GoffJohns Hopkins Institute of Genetic MedicineCorreu electrònic verificat a jhmi.edu
Daehwan KimOmphalos Lifesciences IncCorreu electrònic verificat a omphaloslifesci.com
Cheng-Zhi Anna HuangMIT Music and Theater Arts (MTA) and Electrical Engineering and Computer Science (EECS)Correu electrònic verificat a mit.edu
Cinjon ResnickPhD Student, NYUCorreu electrònic verificat a nyu.edu
Sander DielemanResearch Scientist, DeepMindCorreu electrònic verificat a google.com
Sageev OoreAssociate Professor,Dalhousie University; Faculty Affiliate, Vector InstituteCorreu electrònic verificat a dal.ca
Leonard McMillanAssociate Professor of Computer Science, University of North CarolinaCorreu electrònic verificat a cs.unc.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLACorreu electrònic verificat a cs.ucla.edu
Fernando Pardo-Manuel de VillenaProfessor and Chair, Department of Genetics, University of North Carolina Chapel HillCorreu electrònic verificat a med.unc.edu

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Adam Roberts

Google DeepMind

Correu electrònic verificat a google.com - Pàgina d'inici

Machine Learning Music Generation Computer Science Computational Biology


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
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	21970	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	13319	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	5810	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	3468	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	2560	2020
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	2055	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, ...	1802	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	1702	2022
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	1664	2011
Identification of novel transcripts in annotated genomes using RNA-Seq A Roberts, H Pimentel, C Trapnell, L Pachter Bioinformatics 27 (17), 2325-2329, 2011	1250	2011
Streaming fragment assignment for real-time analysis of sequencing experiments A Roberts, L Pachter Nature Methods, 2012	1112	2012
Gemma: Open models based on gemini research and technology G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ... arXiv preprint arXiv:2403.08295, 2024	1103	2024
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	920	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	803	2017
Crosslingual generalization through multitask finetuning N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ... arXiv preprint arXiv:2211.01786, 2022	724	2022
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	706	2023
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	654	2018
Musiclm: Generating music from text A Agostinelli, TI Denk, Z Borsos, J Engel, M Verzetti, A Caillon, Q Huang, ... arXiv preprint arXiv:2301.11325, 2023	644	2023
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	597	2018
Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019	586	2019

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