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On the Opportunities and Risks of Foundation Models


Aug 18, 2021
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang, Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang

* Authored by the Center for Research on Foundation Models (CRFM) at the Stanford Institute for Human-Centered Artificial Intelligence (HAI) 

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Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music


Jul 13, 2021
Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian McAuley

* Accepted to ISMIR 2021 

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Codified audio language modeling learns useful representations for music information retrieval


Jul 12, 2021
Rodrigo Castellon, Chris Donahue, Percy Liang

* To appear in the proceedings of ISMIR 2021 

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Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality


Jun 12, 2021
Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang

* Published as a conference paper at NAACL 2021 

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Enabling Language Models to Fill in the Blanks


May 11, 2020
Chris Donahue, Mina Lee, Percy Liang

* To appear in the proceedings of ACL 2020 

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LakhNES: Improving multi-instrumental music generation with cross-domain pre-training


Jul 10, 2019
Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian McAuley

* Published as a conference paper at ISMIR 2019 

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Expediting TTS Synthesis with Adversarial Vocoding


Apr 16, 2019
Paarth Neekhara, Chris Donahue, Miller Puckette, Shlomo Dubnov, Julian McAuley


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GANSynth: Adversarial Neural Audio Synthesis


Apr 15, 2019
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, Adam Roberts

* Colab Notebook: http://goo.gl/magenta/gansynth-demo 

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Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition


Oct 31, 2018
Chris Donahue, Bo Li, Rohit Prabhavalkar

* Published as a conference paper at ICASSP 2018 

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Piano Genie


Oct 11, 2018
Chris Donahue, Ian Simon, Sander Dieleman


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Adversarial Audio Synthesis


Sep 27, 2018
Chris Donahue, Julian McAuley, Miller Puckette


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The NES Music Database: A multi-instrumental dataset with expressive performance attributes


Jun 12, 2018
Chris Donahue, Huanru Henry Mao, Julian McAuley

* Published as a conference paper at ISMIR 2018 

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Semantically Decomposing the Latent Spaces of Generative Adversarial Networks


Feb 22, 2018
Chris Donahue, Zachary C. Lipton, Akshay Balsubramani, Julian McAuley

* Published as a conference paper at ICLR 2018 

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Dance Dance Convolution


Jun 21, 2017
Chris Donahue, Zachary C. Lipton, Julian McAuley

* Published as a conference paper at ICML 2017 

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