Articles & TalksHere I list some good articles and talks about machine learning and other topics.
- The N=1 guide to grad school (and hopefully, knowledge work). by Adam Marcus.
- So, you want to go to grad school? by Matt Welsh.
- 10 easy ways to fail a Ph.D. by Matt Might.
- Graph Convolutional Networks. by Thomas Kipf.
- My Favorite Deep Learning Papers of 2017 by Gregory J Stein.
- Bayesian Optimization CSC2541 - Topics in Machine Learning University of Toronto - Fall 2017.
- The Foundations of Deep Learning. by Geoffrey Hinton.
- From Deep Learning of Disentangled Representations to Higher-level Cognition. by Yoshua Bengio.
- Generalizing Convolutions for Deep Learning.by Max Welling.
- The State of Artificial Intelligence. by Andrew Ng.
- Heroes of Deep Learning: Andrew Ng interviews Yoshua Bengio.
- Heroes of Deep Learning: Andrew Ng interviews Yann LeCun.
- Heroes of Deep Learning: Andrew Ng interviews Geoffrey Hinton.
- Deep Learning at Alibaba. by Rong Jin, IJCAI Invited Talk.