{
    "author": null,
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    "domain": "kylrth.com",
    "excerpt": "Theoretically, models should be able to predict on out-of-distribution data if their understanding of causal relationships is correct. The toy problem they use in this paper is that of predicting…",
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    "title": "A meta-transfer objective for learning to disentangle causal mechanisms",
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