Masked Generative Adversarial Networks are Data-Efficient Generation Learners

Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, ShengCai Liao, Eric Xing. Masked Generative Adversarial Networks are Data-Efficient Generation Learners. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{HuangCGXZLLX22,
  title = {Masked Generative Adversarial Networks are Data-Efficient Generation Learners},
  author = {Jiaxing Huang and Kaiwen Cui and Dayan Guan and Aoran Xiao and Fangneng Zhan and Shijian Lu and ShengCai Liao and Eric Xing},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/0efcb1885b8534109f95ca82a5319d25-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/HuangCGXZLLX22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}