A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms
international conference on learning representations, 2020.
We propose to use a meta-learning objective that maximizes the speed of transfer on a modified distribution to learn how to modularize acquired knowledge. In particular, we focus on how to factor a joint distribution into appropriate conditionals, consistent with the causal directions. We explain when this can work, using the assumption t...更多