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Found 2 papers, 2 papers with code
Analyzing Sharpness-aware Minimization under Overparameterization
Training an overparameterized neural network can yield minimizers of different generalization capabilities despite the same level of training loss.
A Closer Look at the Intervention Procedure of Concept Bottleneck Models
Concept bottleneck models (CBMs) are a class of interpretable neural network models that predict the target response of a given input based on its high-level concepts.
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