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Explore and Control with Adversarial Surprise


Jul 12, 2021
Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine


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Dynamically Throttleable Neural Networks (TNN)


Nov 01, 2020
Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek Chai, Bir Bhanu

* arXiv admin note: text overlap with arXiv:1905.13179 

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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization


Jun 29, 2020
Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer

* Datasets, code, and models available at https://github.com/hendrycks/imagenet-r 

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Inter-Level Cooperation in Hierarchical Reinforcement Learning


Dec 05, 2019
Abdul Rahman Kreidieh, Samyak Parajuli, Nathan Lichtle, Yiling You, Rayyan Nasr, Alexandre M. Bayen


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Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks


Nov 12, 2018
Samyak Parajuli, Aswin Raghavan, Sek Chai


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