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Found 3 papers, 1 papers with code
Representation Based Complexity Measures for Predicting Generalization in Deep Learning
Deep Neural Networks can generalize despite being significantly overparametrized.
Distangling Biological Noise in Cellular Images with a focus on Explainability
One of the more surprising reasons behind the cost is how long it takes to bring new treatments to market.
Dynamic Regularizer with an Informative Prior
Both the regularizers mentioned above are formulated by assuming certain priors in the parameter space and these assumptions, in some cases, induce sparsity in the parameter space.
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