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Simultaneous linear connectivity of neural networks modulo permutation
In contrast, the claim "strong linear connectivity"-that for each network, there exists one permutation that simultaneously connects it with the other networks-is both intuitively and practically more desirable.
Dataset Difficulty and the Role of Inductive Bias
Motivated by the goals of dataset pruning and defect identification, a growing body of methods have been developed to score individual examples within a dataset.
Neural Networks as Paths through the Space of Representations
Deep neural networks implement a sequence of layer-by-layer operations that are each relatively easy to understand, but the resulting overall computation is generally difficult to understand.
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