DE-RRD: A Knowledge Distillation Framework for Recommender System-Reference-Cited by-同舟云学术

DE-RRD: A Knowledge Distillation Framework for Recommender System

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

Kang SeongKu¹,Hwang Junyoung¹,Kweon Wonbin¹,Yu Hwanjo¹

Affiliation:

1. POSTECH, Pohang, Republic of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3412005

Reference30 articles.

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3. Guobin Chen Wongun Choi Xiang Yu Tony Han and Manmohan Chandraker. 2017. Learning efficient object detection models with knowledge distillation. In NeurIPS. 742--751. Guobin Chen Wongun Choi Xiang Yu Tony Han and Manmohan Chandraker. 2017. Learning efficient object detection models with knowledge distillation. In NeurIPS. 742--751.

4. Locality-sensitive hashing scheme based on p-stable distributions

5. Tommaso Furlanello Zachary C Lipton Michael Tschannen Laurent Itti and Anima Anandkumar. 2018. Born again neural networks. arXiv preprint arXiv:1805.04770 (2018). Tommaso Furlanello Zachary C Lipton Michael Tschannen Laurent Itti and Anima Anandkumar. 2018. Born again neural networks. arXiv preprint arXiv:1805.04770 (2018).

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