Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling-Reference-Cited by-同舟云学术

Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling

Published:2020-07-06 Issue: Volume: Page:
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Container-title:Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Yin Jianwen¹,Liu Chenghao²,Wang Weiqing³,Sun Jianling¹,Hoi Steven C.H.⁴

Affiliation:

1. Zhejiang University & Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China

2. Singapore Management University, Singapore, Singapore

3. Monash University, Melbourne, Australia

4. Singapore Management University & Salesforce Research Asia, Singapore, Singapore

Funder

The National Research Foundation Singapore, and AI Singapore under its Research Programme

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394486.3403078

Reference38 articles.

1. Beyond Globally Optimal

2. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014a. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014a. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.

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