Adam Roberts

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Colin RaffelUniversity of Toronto, Vector Institute and Hugging FaceAdresse e-mail validée de cs.toronto.edu
Jesse H. EngelGoogle DeepMindAdresse e-mail validée de google.com
Lior PachterBren Professor of Computational Biology, CaltechAdresse e-mail validée de caltech.edu
Noam ShazeerCharacter.aiAdresse e-mail validée de character.ai
Cole TrapnellAssociate Professor, Dept. of Genome Sciences, University of WashingtonAdresse e-mail validée de uw.edu
Douglas EckGoogle Research, Brain TeamAdresse e-mail validée de google.com
Curtis HawthorneAdeptAdresse e-mail validée de adept.ai
Harold PimentelAssistant Professor, UCLAAdresse e-mail validée de ucla.edu
Ian SimonGoogle BrainAdresse e-mail validée de cs.washington.edu
Steven SalzbergBloomberg Distinguished Professor, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Daehwan KimOmphalos Lifesciences IncAdresse e-mail validée de omphaloslifesci.com
Geo PerteaData/Software Engineer, Lieber Institute for Brain DevelopmentAdresse e-mail validée de jhu.edu
Loyal A. GoffJohns Hopkins Institute of Genetic MedicineAdresse e-mail validée de jhmi.edu
Cheng-Zhi Anna HuangMIT Music and Theater Arts (MTA) and Electrical Engineering and Computer Science (EECS)Adresse e-mail validée de mit.edu
Cinjon ResnickPhD Student, NYUAdresse e-mail validée de nyu.edu
Sander DielemanResearch Scientist, DeepMindAdresse e-mail validée de google.com
Sageev OoreAssociate Professor,Dalhousie University; Faculty Affiliate, Vector InstituteAdresse e-mail validée de dal.ca
Leonard McMillanAssociate Professor of Computer Science, University of North CarolinaAdresse e-mail validée de cs.unc.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAAdresse e-mail validée de cs.ucla.edu
Fernando Pardo-Manuel de VillenaProfessor and Chair, Department of Genetics, University of North Carolina Chapel HillAdresse e-mail validée de med.unc.edu

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Adam Roberts

Google DeepMind

Adresse e-mail validée de google.com - Page d'accueil

Machine Learning Music Generation Computer Science Computational Biology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	21271	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	13298	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	5592	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	3275	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	2508	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	1942	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, ...	1746	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	1656	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	1643	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	1243	2011
Streaming fragment assignment for real-time analysis of sequencing experiments A Roberts, L Pachter Nature Methods, 2012	1118	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	925	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	900	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	798	2017
Crosslingual generalization through multitask finetuning N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ... arXiv preprint arXiv:2211.01786, 2022	682	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	666	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	655	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	595	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	584	2018
Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019	574	2019

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