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Found 2 papers, 1 papers with code
Corruptions of Supervised Learning Problems: Typology and Mitigations
We generalize the definition of corruption beyond the concept of distributional shift: corruption includes all modifications of a learning problem, including changes in model class and loss function.
The interplay between ranking and communities in networks
It assumes that each node has a preference in the interaction mechanism and nodes with the same preference are more likely to interact, while heterogeneous interactions are still allowed.
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