Bias and Generalization in Deep Generative Models: An Empirical Study

Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon. Bias and Generalization in Deep Generative Models: An Empirical Study. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 10815-10824, 2018. [doi]

@inproceedings{ZhaoRYSGE18,
  title = {Bias and Generalization in Deep Generative Models: An Empirical Study},
  author = {Shengjia Zhao and Hongyu Ren and Arianna Yuan and Jiaming Song and Noah Goodman and Stefano Ermon},
  year = {2018},
  url = {http://papers.nips.cc/paper/8277-bias-and-generalization-in-deep-generative-models-an-empirical-study},
  researchr = {https://researchr.org/publication/ZhaoRYSGE18},
  cites = {0},
  citedby = {0},
  pages = {10815-10824},
  booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
  editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}