Generative adversarial nets (GANs) have been widely studied during the recent development of deep learning and unsupervised learning. With an adversarial training mechanism, GAN manages to train a generative model to fit the underlying unknown real data distribution und... View more
 Bahriye Akay, Oğuz Kaynar, and Ferhan Demirkoparan. 2017. Deep learning based recommender systems. In UBMK. IEEE, 645-648.
 Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In Advances in Neural Information Processing Systems. 1171-1179.
 Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. 2005. Learning to rank using gradient descent. In Proceedings of the 22nd international conference on Machine learning. ACM, 89-96.
 Liwei Cai and William Yang Wang. 2017. KBGAN: Adversarial Learning for Knowledge Graph Embeddings. arXiv preprint arXiv:1711.04071 (2017).
 Tong Che, Yanran Li, Ruixiang Zhang, R Devon Hjelm, Wenjie Li, Yangqiu Song, and Yoshua Bengio. 2017. Maximum-Likelihood Augmented Discrete Generative Adversarial Networks. arXiv preprint arXiv:1702.07983 (2017).
 Paul Covington, Jay Adams, and Emre Sargin. 2016. Deep neural networks for youtube recommendations. In Proceedings of the 10th ACM Conference on Recommender Systems. ACM, 191-198.
 Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672-2680.
 Jiafeng Guo, Yixing Fan, Qingyao Ai, and W Bruce Croft. 2016. A deep relevance matching model for ad-hoc retrieval. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM, 55-64.
 Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Jun Wang, and Yong Yu. 2017. Long Text Generation via Adversarial Training with Leaked Information. arXiv preprint arXiv:1709.08624.