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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 10: AAAI-21 Technical Tracks 10

TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

February 1, 2023

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Authors

Bingyan Liu

Peking University


Yifeng Cai

Peking University


Yao Guo

Peking University


Xiangqun Chen

Peking University


DOI:

10.1609/aaai.v35i10.17046


Abstract:

The increasing of pre-trained models has significantly facilitated the performance on limited data tasks with transfer learning. However, progress on transfer learning mainly focuses on optimizing the weights of pre-trained models, which ignores the structure mismatch between the model and the target task. This paper aims to improve the transfer performance from another angle - in addition to tuning the weights, we tune the structure of pre-trained models, in order to better match the target task. To this end, we propose TransTailor, targeting at pruning the pre-trained model for improved transfer learning. Different from traditional pruning pipelines, we prune and fine-tune the pre-trained model according to the target-aware weight importance, generating an optimal sub-model tailored for a specific target task. In this way, we transfer a more suitable sub-structure that can be applied during fine-tuning to benefit the final performance. Extensive experiments on multiple pre-trained models and datasets demonstrate that TransTailor outperforms the traditional pruning methods and achieves competitive or even better performance than other state-of-the-art transfer learning methods while using a smaller model. Notably, on the Stanford Dogs dataset, TransTailor can achieve 2.7% accuracy improvement over other transfer methods with 20% fewer FLOPs.

Topics: AAAI

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HOW TO CITE:

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning Proceedings of the AAAI Conference on Artificial Intelligence (2021) 8627-8634.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning AAAI 2021, 8627-8634.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen (2021). TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 8627-8634.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen. TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.8627-8634.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen. 2021. TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. "Proceedings of the AAAI Conference on Artificial Intelligence". 8627-8634.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen. (2021) "TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning", Proceedings of the AAAI Conference on Artificial Intelligence, p.8627-8634

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen, "TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning", AAAI, p.8627-8634, 2021.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen. "TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.8627-8634.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen. "TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 8627-8634.

Bingyan Liu||Yifeng Cai||Yao Guo||Xiangqun Chen. TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. AAAI[Internet]. 2021[cited 2023]; 8627-8634.


ISSN: 2374-3468


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