NIPS-2017 Conference
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A NIPS-2017 Conference was a NIPS Conference held in 2017.
- AKA: NIPS 30, Advances in Neural Information Processing Systems 30.
- Context:
- It can be associated with a NIPS 2017 Proceedings.
- …
- Counter-Example(s):
- See: Long Beach, CA.
References
- http://papers.nips.cc/book/advances-in-neural-information-processing-systems-30-2017
- http://www.informatik.uni-trier.de/~ley/db/conf/nips/nips2017.html
- http://nips.cc/Conferences/2017/Schedule
2017
- (Volkovs et al., 2017) ⇒ Maksims Volkovs, Guangwei Yu, and Tomi Poutanen. (2017). “DropoutNet: Addressing Cold Start in Recommender Systems.” In: Proceedings of Advances in Neural Information Processing Systems 30 (NIPS-2017).
- (Vartak et al., 2017) ⇒ Manasi Vartak, Arvind Thiagarajan, Conrado Miranda, Jeshua Bratman, and Hugo Larochelle. (2017). “A Meta-Learning Perspective on Cold-Start Recommendations for Items.” In: Proceedings of Advances in Neural Information Processing Systems 30 (NIPS-2017).
- (Swaminathan et al., 2017) ⇒ Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudik, John Langford, Damien Jose, and Imed Zitouni. (2017). “Off-policy Evaluation for Slate Recommendation.” In: Proceedings of Advances in Neural Information Processing Systems 30 (NIPS-2017).
- (Yi et al., 2017) ⇒ Jinfeng Yi, Cho-Jui Hsieh, Kush R Varshney, Lijun Zhang, and Yao Li. (2017). “Scalable Demand-Aware Recommendation.” In: Proceedings of Advances in Neural Information Processing Systems 30 (NIPS-2017).
- (Lin, Li, et al., 2017) ⇒ Kevin Lin, Dianqi Li, Xiaodong He, Ming-ting Sun, and Zhengyou Zhang. (2017). “Adversarial Ranking for Language Generation.” In: Proceedings of Advances in Neural Information Processing Systems 30 (NIPS-2017).