Arjun K. Bansal

Publication Activity (10 Years)

Years Active: 2015-2019
Publications (10 Years): 6

Top Topics

Computationally Expensive

Intermediate Representation

Feed Forward Neural Networks

Top Venues

ICLR (Workshop)

Publications

Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang, Arjun K. Bansal
Generalization to Novel Objects using Prior Relational Knowledge. CoRR (2019)
Zach Dwiel, Madhavun Candadai, Mariano J. Phielipp, Arjun K. Bansal
Hierarchical Policy Learning is Sensitive to Goal Space Design. CoRR (2019)
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
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning. CoRR (2018)
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
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. CoRR (2017)
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
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks. NIPS (2017)
Brian Cheung, Jesse A. Livezey, Arjun K. Bansal, Bruno A. Olshausen
Discovering Hidden Factors of Variation in Deep Networks. ICLR (Workshop) (2015)