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Confounders in deep learning are in general detrimental to model's generalization where they infiltrate feature representations.
Statistics and causal inference: Comment: Which ifs have causal answers
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Learning to optimize domain specific normalization for domain generalization
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Causal intervention for weakly-supervised semantic segmentation
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Episodic training for domain generalization
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Domain generalization needs stochastic weight averaging for robustness on domain shifts
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