Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification-Reference-Cited by-同舟云学术

Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification

Published:2021-07-11 Issue: Volume: Page:
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Container-title:Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Geng Binzong¹,Yang Min²,Yuan Fajie³,Wang Shupeng²,Ao Xiang⁴,Xu Ruifeng⁵

Affiliation:

1. University of Science and Technology of China & Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Hefei, China

2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

3. Westlake University & Tencent, Hangzhou, China

4. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

5. Harbin Institute of Technology (Shenzhen), Shenzhen, China

Funder

Natural Science Foundation of Guangdong Province of China

Shenzhen Science and Technology Innovation Program

Shenzhen Basic Research Foundation

National Natural Science Foundation of China

Youth Innovation Promotion Association of CAS China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3404835.3462902

Reference42 articles.

1. Hongjoon Ahn Sungmin Cha Donggyu Lee and Taesup Moon. 2019. Uncertainty-based continual learning with adaptive regularization. In NeurIPS . 4392--4402. Hongjoon Ahn Sungmin Cha Donggyu Lee and Taesup Moon. 2019. Uncertainty-based continual learning with adaptive regularization. In NeurIPS . 4392--4402.

2. Rahaf Aljundi Klaas Kelchtermans and Tinne Tuytelaars. 2019. Task-free continual learning. In CVPR. 11254--11263. Rahaf Aljundi Klaas Kelchtermans and Tinne Tuytelaars. 2019. Task-free continual learning. In CVPR. 11254--11263.

3. John Blitzer Mark Dredze and Fernando Pereira. 2007. Biographies bollywood boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL. 440--447. John Blitzer Mark Dredze and Fernando Pereira. 2007. Biographies bollywood boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL. 440--447.

4. John Blitzer Ryan McDonald and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In EMNLP. 120--128. John Blitzer Ryan McDonald and Fernando Pereira. 2006. Domain adaptation with structural correspondence learning. In EMNLP. 120--128.

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