2 citations · 2 across the 1 of their papers we have counts for
3 papers
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi
Backbone architectures of most binary networks are well-known floating point (FP) architectures such as the ResNet family. Questioning that the architectures designed for FP networ…
Factorizing Perception and Policy for Interactive Instruction Following
Kunal Pratap Singh, Suvaansh Bhambri, Byeonghwi Kim +2
Performing simple household tasks based on language directives is very natural to humans, yet it remains an open challenge for AI agents. The 'interactive instruction following' ta…
Learning Architectures for Binary Networks
Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi
Backbone architectures of most binary networks are well-known floating point architectures such as the ResNet family. Questioning that the architectures designed for floating point…