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2020 – today
- 2024
[i9]Yatong Bai, Utsav Garg, Apaar Shanker, Haoming Zhang, Samyak Parajuli, Erhan Bas, Isidora Filipovic, Amelia N. Chu, Eugenia D. Fomitcheva, Elliot Branson, Aerin Kim, Somayeh Sojoudi, Kyunghyun Cho:
Let's Go Shopping (LGS) - Web-Scale Image-Text Dataset for Visual Concept Understanding. CoRR abs/2401.04575 (2024)- [i8]Amina Kobenova, Cyan DeVeaux, Samyak Parajuli, Andrzej Banburski-Fahey, Judith Amores Fernandez, Jaron Lanier:
Social Conjuring: Multi-User Runtime Collaboration with AI in Building Virtual 3D Worlds. CoRR abs/2410.00274 (2024) - [i7]Sam Earle, Samyak Parajuli, Andrzej Banburski-Fahey:
DreamGarden: A Designer Assistant for Growing Games from a Single Prompt. CoRR abs/2410.01791 (2024) - 2022
- [j1]Hengyue Liu
, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu:
Dynamically throttleable neural networks. Mach. Vis. Appl. 33(4): 59 (2022) - [c2]Abdul Rahman Kreidieh, Yibo Zhao, Samyak Parajuli, Alexandre M. Bayen:
Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic. AAMAS 2022: 1663-1665 - 2021
- [c1]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:
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. ICCV 2021: 8320-8329 - [i6]Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine:
Explore and Control with Adversarial Surprise. CoRR abs/2107.07394 (2021) - [i5]Abdul Rahman Kreidieh, Yibo Zhao, Samyak Parajuli, Alexandre M. Bayen:
Learning Generalizable Multi-Lane Mixed-Autonomy Behaviors in Single Lane Representations of Traffic. CoRR abs/2112.04688 (2021) - 2020
- [i4]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:
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. CoRR abs/2006.16241 (2020) - [i3]Hengyue Liu, Samyak Parajuli, Jesse Hostetler, Sek M. Chai, Bir Bhanu:
Dynamically Throttleable Neural Networks (TNN). CoRR abs/2011.02836 (2020)
2010 – 2019
- 2019
- [i2]Abdul Rahman Kreidieh, Samyak Parajuli, Nathan Lichtle, Yiling You, Rayyan Nasr, Alexandre M. Bayen:
Inter-Level Cooperation in Hierarchical Reinforcement Learning. CoRR abs/1912.02368 (2019) - 2018
- [i1]Samyak Parajuli, Aswin Raghavan, Sek M. Chai:
Generalized Ternary Connect: End-to-End Learning and Compression of Multiplication-Free Deep Neural Networks. CoRR abs/1811.04985 (2018)
Coauthor Index
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