Adam Roberts

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Colin RaffelUniversity of Toronto, Vector Institute and Hugging FacePatvirtintas el. paštas cs.toronto.edu
Jesse H. EngelGoogle DeepMindPatvirtintas el. paštas google.com
Lior PachterBren Professor of Computational Biology, CaltechPatvirtintas el. paštas caltech.edu
Noam ShazeerCharacter.aiPatvirtintas el. paštas character.ai
Douglas EckGoogle Research, Brain TeamPatvirtintas el. paštas google.com
Cole TrapnellAssociate Professor, Dept. of Genome Sciences, University of WashingtonPatvirtintas el. paštas uw.edu
Curtis HawthorneAdeptPatvirtintas el. paštas adept.ai
Harold PimentelAssistant Professor, UCLAPatvirtintas el. paštas ucla.edu
Ian SimonGoogle BrainPatvirtintas el. paštas cs.washington.edu
Steven SalzbergBloomberg Distinguished Professor, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu
Daehwan KimUniversity of Texas Southwestern Medical CenterPatvirtintas el. paštas UTSouthwestern.edu
Geo PerteaData/Software Engineer, Lieber Institute for Brain DevelopmentPatvirtintas el. paštas jhu.edu
Loyal A. GoffJohns Hopkins Institute of Genetic MedicinePatvirtintas el. paštas jhmi.edu
Cinjon ResnickPhD Student, NYUPatvirtintas el. paštas nyu.edu
Cheng-Zhi Anna HuangGoogle Brain & MilaPatvirtintas el. paštas google.com
Sander DielemanResearch Scientist, DeepMindPatvirtintas el. paštas google.com
Leonard McMillanAssociate Professor of Computer Science, University of North CarolinaPatvirtintas el. paštas cs.unc.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAPatvirtintas el. paštas cs.ucla.edu
Sageev OoreAssociate Professor,Dalhousie University; Faculty Affiliate, Vector InstitutePatvirtintas el. paštas dal.ca
Fernando Pardo-Manuel de VillenaProfessor and Chair, Department of Genetics, University of North Carolina Chapel HillPatvirtintas el. paštas med.unc.edu

Stebėti

Adam Roberts

Google DeepMind

Patvirtintas el. paštas google.com - Pagrindinis puslapis

Machine Learning Music Generation Computer Science Computational Biology


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	17849	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	13052	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	4393	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	2415	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	2118	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	1558	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	1538	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, ...	1411	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	1384	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	1224	2011
Streaming fragment assignment for real-time analysis of sequencing experiments A Roberts, L Pachter Nature Methods, 2012	1100	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	784	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	738	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	593	2018
Gansynth: Adversarial neural audio synthesis J Engel, KK Agrawal, S Chen, I Gulrajani, C Donahue, A Roberts arXiv preprint arXiv:1902.08710, 2019	535	2019
Crosslingual generalization through multitask finetuning N Muennighoff, T Wang, L Sutawika, A Roberts, S Biderman, TL Scao, ... arXiv preprint arXiv:2211.01786, 2022	528	2022
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	516	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	501	2023
DDSP: Differentiable digital signal processing J Engel, L Hantrakul, C Gu, A Roberts arXiv preprint arXiv:2001.04643, 2020	471	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	447	2023

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