Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning-Reference-Cited by-同舟云学术

Hierarchical Meta-Learning with Hyper-Tasks for Few-Shot Learning

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Guan Yunchuan¹^ORCID,Liu Yu¹^ORCID,Zhou Ke¹^ORCID,Huang Junyuan¹^ORCID

Affiliation:

1. Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China (key program)

Natural Science Foundation of Hubei Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614911

Reference22 articles.

1. Liam Collins , Aryan Mokhtari , and Sanjay Shakkottai . 2020 . Task-Robust Model-Agnostic Meta-Learning. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020 , NeurIPS 2020, December 6--12, 2020, virtual. Liam Collins, Aryan Mokhtari, and Sanjay Shakkottai. 2020. Task-Robust Model-Agnostic Meta-Learning. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual.

2. Jeff Donahue , Yangqing Jia , Oriol Vinyals , Judy Hoffman , Ning Zhang , Eric Tzeng , and Trevor Darrell . 2014 . DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition . In Proceedings of the 31th International Conference on Machine Learning, ICML 2014 , Beijing, China, 21- -26 June 2014, Vol. 32 . JMLR.org, 647--655. Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, and Trevor Darrell. 2014. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21--26 June 2014, Vol. 32. JMLR.org, 647--655.

3. Alireza Fallah , Aryan Mokhtari , and Asuman E . Ozdaglar . 2021 . Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6--14, 2021, virtual. 5469--5480. Alireza Fallah, Aryan Mokhtari, and Asuman E. Ozdaglar. 2021. Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6--14, 2021, virtual. 5469--5480.

4. Chelsea Finn , Pieter Abbeel , and Sergey Levine . 2017 . Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks . In Proceedings of the 34th International Conference on Machine Learning, ICML 2017 , Sydney, NSW, Australia, 6- -11 August 2017, Vol. 70 . PMLR, 1126--1135. Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks. In Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6--11 August 2017, Vol. 70. PMLR, 1126--1135.

5. Timothy Hospedales , Antreas Antoniou , Paul Micaelli , and Amos Storkey . 2021. Meta-learning in neural networks: A survey . IEEE transactions on pattern analysis and machine intelligence, Vol. 44 , 9 ( 2021 ), 5149--5169. Timothy Hospedales, Antreas Antoniou, Paul Micaelli, and Amos Storkey. 2021. Meta-learning in neural networks: A survey. IEEE transactions on pattern analysis and machine intelligence, Vol. 44, 9 (2021), 5149--5169.

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