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Found 2 papers, 1 papers with code
Adding Seemingly Uninformative Labels Helps in Low Data Regimes
Evidence suggests that networks trained on large datasets generalize well not solely because of the numerous training examples, but also class diversity which encourages learning of enriched features.
An empirical study of the relation between network architecture and complexity
In this preregistration submission, we propose an empirical study of how networks handle changes in complexity of the data.
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