Arjun K. Bansal

According to our database, Arjun K. Bansal authored at least 5 papers between 2015 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Generalization to Novel Objects using Prior Relational Knowledge.

Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun K. Bansal

CoRR, 2019

Hierarchical Policy Learning is Sensitive to Goal Space Design.

Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp, Arjun K. Bansal

CoRR, 2019

2018

Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning.

Scott Cyphers, Arjun K. Bansal, Anahita Bhiwandiwalla, Jayaram Bobba, Matthew Brookhart, Avijit Chakraborty, William Constable, Christian Convey, Leona Cook, Omar Kanawi, Robert Kimball, Jason Knight, Nikolay Korovaiko, Varun Kumar Vijay, Yixing Lao, Christopher R. Lishka, Jaikrishnan Menon, Jennifer Myers, Sandeep Aswath Narayana, Adam Procter, Tristan J. Webb

CoRR, 2018

2017

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks.

Urs Köster, Tristan Webb, Xin Wang, Marcel Nassar, Arjun K. Bansal, William Constable, Oguz Elibol, Stewart Hall, Luke Hornof, Amir Khosrowshahi, Carey Kloss, Ruby J. Pai, Naveen Rao

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015

Discovering Hidden Factors of Variation in Deep Networks.

Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen

Proceedings of the 3rd International Conference on Learning Representations, 2015