Accelerating BERT inference with GPU-efficient exit prediction

Author:

Li Lei,Wang Chengyu,Qiu Minghui,Chen Cen,Gao Ming,Zhou Aoying

Publisher

Springer Science and Business Media LLC

Reference36 articles.

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2. Radford A, Narasimhan K. Improving language understanding by generative pre-training. See https://cs.ubc.ca/~amuham01/LING530/papers/radford2018improving.pdf website. 2018

3. Yang Z, Dai Z, Yang Y, Carbonell J G, Salakhutdinov R, Le Q. XLNet: generalized autoregressive pretraining for language understanding. In: Proceedings of the 33rd International Conference on Neural Information Processing Systems. 2019, 517

4. Gou J, Yu B, Maybank S J, Tao D. Knowledge distillation: a survey. International Journal of Computer Vision, 2021, 129(6): 1789–1819

5. Laskaridis S, Kouris A, Lane N D. Adaptive inference through early-exit networks: design, challenges and directions. In: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning. 2021, 1–6

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