Evaluation of Mode Collapse in Generative Adversarial Networks

By Sayeri Lala. 2018

Subfields: Generative Models, Evaluation & Benchmarks

How researchers see this paper

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

In Generative Models

1. Subbarao Kambhampati
2. Niharika Jain
3. Lydia Manikonda
4. Sailik Sengupta
5. Alberto Olmo Hernandez

In Evaluation & Benchmarks

1. Subbarao Kambhampati

Citations in the corpus

• Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses (2020, background): “We show experiments on two other GAN architectures designed to address mode collapse – Wasserstein GAN (Arjovsky et al., 2017) and AdaGAN (Tolstikhin et al., 2017) – in the appendix.”