- Feature Learning
- Learning Feature Representations with K-means by Adam Coates and Andrew Y. Ng
- The devil is in the details: an evaluation of recent feature encoding methods by Chatfield et. al.
- Emergence of Object-Selective Features in Unsupervised Feature Learning by Coates, Ng
- Scaling Learning Algorithms towards AI Benjio & LeCun
- A Theory of Feature Learning by Brendan van Rooyen, Robert C. Williamson
- Deep Learning
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting by Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov
- [Understanding