Adam Roberts
Adam Roberts earned his PhD in Computer Science from UC Berkeley with a designated emphasis in Computational and Genomic Biology. He has since focused on combining music and technology at Google, where he helped to organize the world's music knowledge for Google Play and is now applying deep learning to the generation of music and art for Google Brain team's Magenta project.
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Google
MusicLM: Generating Music From Text
Andrea Agostinelli
Zalán Borsos
Mauro Verzetti
Antoine Caillon
Qingqing Huang
Marco Tagliasacchi
Matt Sharifi
Neil Zeghidour
Christian Frank
under review (2023)
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre
Le Hou
Tu Vu
Albert Webson
Hyung Won Chung
Yi Tay
Barret Zoph
Jason Wei
Proceedings of the 40th International Conference on Machine Learning, PMLR (2023), pp. 22631-22648
Character-Aware Models Improve Visual Text Rendering
Chitwan Saharia
William Chan
Sharan Narang
Irina Blok
RJ Mical
Mohammad Norouzi
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (2023)
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Hyung Won Chung
Sebastian Gehrmann
Parker Schuh
Sasha Tsvyashchenko
Abhishek Rao
Yi Tay
Noam Shazeer
Nan Du
Reiner Pope
James Bradbury
Guy Gur-Ari
Toju Duke
Henryk Michalewski
Xavier Garcia
Liam Fedus
David Luan
Barret Zoph
Ryan Sepassi
David Dohan
Shivani Agrawal
Mark Omernick
Marie Pellat
Aitor Lewkowycz
Erica Moreira
Rewon Child
Oleksandr Polozov
Zongwei Zhou
Brennan Saeta
Michele Catasta
Jason Wei
Kathy Meier-Hellstern
arxiv:2204.02311 (2022)
LaMDA: Language Models for Dialog Applications
Aaron Daniel Cohen
Alena Butryna
Alicia Jin
Apoorv Kulshreshtha
Ben Zevenbergen
Chung-ching Chang
Cosmo Du
Daniel De Freitas Adiwardana
Dehao Chen
Dmitry (Dima) Lepikhin
Erin Hoffman-John
Igor Krivokon
James Qin
Jamie Hall
Joe Fenton
Johnny Soraker
Kathy Meier-Hellstern
Maarten Paul Bosma
Marc Joseph Pickett
Marcelo Amorim Menegali
Marian Croak
Maxim Krikun
Noam Shazeer
Rachel Bernstein
Ravi Rajakumar
Ray Kurzweil
Romal Thoppilan
Steven Zheng
Taylor Bos
Toju Duke
Tulsee Doshi
Vincent Y. Zhao
Will Rusch
Yuanzhong Xu
arXiv (2022)
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue
Mihir Sanjay Kale
Rami Al-Rfou
Aditya Barua
Colin Raffel
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021), Association for Computational Linguistics, Online, pp. 483-498
Self-supervised Pitch Detection by Inverse Audio Synthesis
Lamtharn (Hanoi) Hantrakul
Rigel Jacob Swavely
Curtis Glenn-Macway Hawthorne
ICML 2020 Workshop on Self-supervision in Audio and Speech (2020) (to appear)
Bach Doodle: Approachable music composition with machine learning at scale
Curtis Hawthorne
Monica Dinculescu
Leon Hong
Jacob Howcroft
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR) (2019)
Magenta Studio: Augmenting Creativity with Deep Learning in Ableton Live
Yotam Mann
Jon Gillick
Monica Dinculescu
Carey Radebaugh
Curtis Hawthorne
Proceedings of the International Workshop on Musical Metacreation (MUME) (2019)
