Demystifying Dropout

By Hongchang Gao, Jian Pei, Heng Huang. 2019

16 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Seyed Iman Mirzadeh
2. Mehrdad Farajtabar
3. Tengyu Ma
4. Colin Wei
5. Razvan Pascanu
6. Sergey Levine
7. Yoshua Bengio
8. Liyuan Wang

Citations in the corpus

• Understanding the Role of Training Regimes in Continual Learning (2020, background): “Dropout [25] is a well-established technique in deep learning, which is also well-studied theoretically [3, 67, 24, 17, 70].”
• The Implicit and Explicit Regularization Effects of Dropout (2020, background): “Gao et al. (2019) empirically study the effect of applying dropout masks in one only direction of the network (either the forward or backward pass).”