Learning with Reflective Likelihoods

By Adji Bousso Dieng, Kyunghyun Cho, David M. Blei, Yann LeCun. 2018

5 citations recorded by the source corpus.

Subfields: Probabilistic & Bayesian Methods

How researchers see this paper

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

In Probabilistic & Bayesian Methods

1. Francisco J. R. Ruiz
2. David M. Blei
3. Michalis K. Titsias
4. Adji Bousso Dieng
5. Kyunghyun Cho
6. Rajesh Ranganath
7. Jason Aaron Edward Weston
8. Sean Welleck

Citations in the corpus

• Neural Text Generation with Unlikelihood Training (2019, background): “, 2006) and more recently reflective likelihood (Dieng et al., 2018).”
• Prescribed Generative Adversarial Networks (2019, methodology): “We follow Dieng et al. (2018a) and consider a perfectly balanced version of MNIST as well as nine imbalanced versions.”