Controllable Invariance through Adversarial Feature Learning

Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig. Controllable Invariance through Adversarial Feature Learning. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 585-596, 2017. [doi]

@inproceedings{XieDDHN17,
  title = {Controllable Invariance through Adversarial Feature Learning},
  author = {Qizhe Xie and Zihang Dai and Yulun Du and Eduard H. Hovy and Graham Neubig},
  year = {2017},
  url = {http://papers.nips.cc/paper/6661-controllable-invariance-through-adversarial-feature-learning},
  researchr = {https://researchr.org/publication/XieDDHN17},
  cites = {0},
  citedby = {0},
  pages = {585-596},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
  editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}