Latent Optimization for Non-adversarial Representation Disentanglement

By Aviv Gabbay, Yedid Hoshen. 2019

7 citations recorded by the source corpus.

How researchers see this paper

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

1. Stefano Ermon
2. Abhishek Kumar
3. Ben Poole
4. Yang Song
5. Sergey Levine
6. Jiaming Song
7. Yoshua Bengio
8. Rui Shu

Citations in the corpus

• Weakly Supervised Disentanglement with Guarantees (2019, methodology): “To build robust disentangled representation learning methods that do not require large amounts of supervised data, recent work has turned to forms of weak supervision (Chen & Batmanghelich, 2019; Gabbay & Hoshen, 2019).”