Augustus Odena
What we’d like to find out about GANs that we don’t know yet.
André Araujo, Wade Norris, and Jack Sim
Detailed derivations and open-source code to analyze the receptive fields of convnets.
Sam Greydanus and Chris Olah
A closer look at how Temporal Difference Learning merges paths of experience for greater statistical efficiency
Apoorv Agnihotri and Nipun Batra
How to tune hyperparameters for your machine learning model using Bayesian optimization.
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Open Questions about Generative Adversarial Networks
Augustus Odena
What we’d like to find out about GANs that we don’t know yet.