Training-method researcherTheoretical researcher
Ruslan Salakhutdinov
Co-invented dropout regularization, reducing overfitting and enabling reliable training of larger neural networks.
Works in the archive (3)
- Deep Belief Nets / Reducing Dimensionality · 2006
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting · 2014
- Self-Attention with Relative Position Representations / Transformer-XL · 2018
“Lead” marks the first-listed author — a byline fact, not a measure of influence; co-authorship is shown as recorded.
Co-authors in the archive
View co-author network (13 people)
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