This paper studies the geometrical properties of the representations learned by neural networks. Published at NeurIPS 2019.
A study on spurious correlations which is induced by a causal pespective of stress tests, published at NeurIPS 2021.
This is an inspiring work on ICLR 2020 about how to realize the potential of generative models on downstream discriminative problems.
