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Update ufldl_history.md
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dmarx authored Feb 14, 2024
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*TODO: Combine this with papers from the [anthology](https://github.com/dmarx/anthology-of-modern-ml/blob/main/README.md) to provide some structure to the "treat this like a textbook" stuff*

#### Historical context

* 1991 - "Nonlinear principal component analysis using autoassociative neural networks" - Mark A. Kramer
* 2006 - "Reducing the Dimensionality of Data with Neural Networks" - Geoff Hinton, R. R. Salakhutdinov
* 2013 - ["Auto-Encoding Variational Bayes"](https://arxiv.org/abs/1312.6114) - Diederik P Kingma, Max Welling

## Feature Engineering
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