Empowering the Next Generation My Journey with MISE

In the ever-evolving landscape of artificial intelligence, there’s a pressing need to cultivate diverse talent and foster inclusivity in STEM fields. One initiative that has personally enriched my journey and allowed me to contribute meaningfully to this cause is MISE (Machine Learning in Science and Engineering), a transformative program dedicated to equipping high school...

Predicting Neural Network Accuracy from Weights

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In this paper (Unterthiner et al., 2020) showed empirically that we can predict the generalization gap of a neural network by only looking at its weights. In this work, they released a dataset of 120k convolutional neural networks trained...

Predicting The Generalization Gap In Deep Networks With Margin Distributions

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In this paper (Jiang et al., 2018), they discuss a method that can predict the generalization gap from trained deep neural networks. The authors used marginal distribution information from input training set as a feature vector used by an...