Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

CVPR 2019 Mitchell WortsmanKiana EhsaniMohammad RastegariAli FarhadiRoozbeh Mottaghi

Learning is an inherently continuous phenomenon. When humans learn a new task there is no explicit distinction between training and inference... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet