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Multitask Prompted Training Enables Zero-Shot Task Generalization


Oct 15, 2021
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush

* https://github.com/bigscience-workshop/promptsource/ 

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Optimism is All You Need: Model-Based Imitation Learning From Observation Alone


Feb 22, 2021
Rahul Kidambi, Jonathan Chang, Wen Sun

* 25 pages, 3 figures, 1 tabular column 

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Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control


Oct 23, 2019
Jonathan Chang, Nishanth Kumar, Sean Hastings, Aaron Gokaslan, Diego Romeres, Devesh Jha, Daniel Nikovski, George Konidaris, Stefanie Tellex

* Preprint. Currently under review. * denotes equal contribution 

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Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks


Apr 22, 2017
Jonathan Chang, Stefan Scherer


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Joint Inference of Multiple Label Types in Large Networks


Jan 30, 2014
Deepayan Chakrabarti, Stanislav Funiak, Jonathan Chang, Sofus A. Macskassy


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