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A major barrier to deploying current machine learning models lies in their non-reliability to dataset shifts.
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Invariance principle meets information bottleneck for out-of-distribution generalization
Ahuja, K., Caballero, E., Zhang, D., Gagnon-Audet, J.-C., Bengio, Y., Mitliagkas, I., and Rish, I · 2021
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The many faces of robustness: A critical analysis of out-of-distribution generalization
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Number of vertices that a connected dominating set can reach in densely connected graphs
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