Adam Roberts

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Colin RaffelUniversity of Toronto, Vector Institute and Hugging FaceVerified email at cs.toronto.edu
Jesse H. EngelGoogle DeepMindVerified email at google.com
Lior PachterBren Professor of Computational Biology, CaltechVerified email at caltech.edu
Noam ShazeerCharacter.aiVerified email at character.ai
Douglas EckGoogle Research, Brain TeamVerified email at google.com
Cole TrapnellAssociate Professor, Dept. of Genome Sciences, University of WashingtonVerified email at uw.edu
Curtis HawthorneAdeptVerified email at adept.ai
Harold PimentelAssistant Professor, UCLAVerified email at ucla.edu
Ian SimonGoogle BrainVerified email at cs.washington.edu
Steven SalzbergBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Daehwan KimUniversity of Texas Southwestern Medical CenterVerified email at UTSouthwestern.edu
Geo PerteaData/Software Engineer, Lieber Institute for Brain DevelopmentVerified email at jhu.edu
Loyal A. GoffJohns Hopkins Institute of Genetic MedicineVerified email at jhmi.edu
Cheng-Zhi Anna HuangMIT Music and Theater Arts (MTA) and Electrical Engineering and Computer Science (EECS)Verified email at mit.edu
Cinjon ResnickPhD Student, NYUVerified email at nyu.edu
Sander DielemanResearch Scientist, DeepMindVerified email at google.com
Sageev OoreAssociate Professor,Dalhousie University; Faculty Affiliate, Vector InstituteVerified email at dal.ca
Leonard McMillanAssociate Professor of Computer Science, University of North CarolinaVerified email at cs.unc.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Fernando Pardo-Manuel de VillenaProfessor and Chair, Department of Genetics, University of North Carolina Chapel HillVerified email at med.unc.edu

Adam Roberts

Google DeepMind

Verified email at google.com - Homepage

Machine Learning Music Generation Computer Science Computational Biology


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	18469	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	13107	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	4605	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	2581	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	2198	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	1612	2021
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	1582	2011
Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...	1505	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	1425	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	1228	2011
Streaming fragment assignment for real-time analysis of sequencing experiments A Roberts, L Pachter Nature Methods, 2012	1104	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	808	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	749	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	606	2018
Crosslingual generalization through multitask finetuning N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ... arXiv preprint arXiv:2211.01786, 2022	563	2022
Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019	544	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	540	2018
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	528	2023
DDSP: Differentiable digital signal processing J Engel, L Hantrakul, C Gu, A Roberts arXiv preprint arXiv:2001.04643, 2020	482	2020
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	478	2023

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