Hosted by
Sean Welleck
Assistant Professor CMU
Support the podcast:
Buy me a coffee
Become a Patron!
Episode 24 | Martin Arjovsky
Out of Distribution Generalization in Machine Learning
Papers and Links:
Google Scholar
Thesis
NYU Differential Geometry
Towards Principled Methods for Training Generative Adversarial Networks
Wasserstein GAN
Improved Training of Wasserstein GANs
Invariant Risk Minimization
DreamCoder
Listen:
The Thesis Review
ยท
[42] Charles Sutton - Efficient Training Methods for Conditional Random Fields