From the source
The paper 'Towards Causal Representation Learning' and discusses how causal inference can address limitations in machine learning, such as robustness, learning reusable mechanisms, and causality perspective.
From the source
This post aims to introduce “Towards Causal Representation Learning,” [1] which was published in the Proceedings of the IEEE in 2021.
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