SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization

Author:

Tang Chen1ORCID,Ouyang Kai1ORCID,Chai Zenghao1ORCID,Bai Yunpeng1ORCID,Meng Yuan1ORCID,Wang Zhi2ORCID,Zhu Wenwu1ORCID

Affiliation:

1. Tsinghua University, Beijing, China

2. Tsinghua University, Shenzhen, China

Funder

Shenzhen Science and Technology Program

Publisher

ACM

Reference53 articles.

1. Milad Alizadeh , Arash Behboodi , Mart van Baalen , Christos Louizos , Tijmen Blankevoort , and Max Welling . 2020. Gradient L1 regularization for quantization robustness. arXiv preprint arXiv:2002.07520 ( 2020 ). Milad Alizadeh, Arash Behboodi, Mart van Baalen, Christos Louizos, Tijmen Blankevoort, and Max Welling. 2020. Gradient L1 regularization for quantization robustness. arXiv preprint arXiv:2002.07520 (2020).

2. Yoshua Bengio , Nicholas Léonard , and Aaron C . Courville . 2013 . Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation. CoRR abs/1308.3432 (2013). arXiv:1308.3432 http://arxiv.org/abs/1308.3432 Yoshua Bengio, Nicholas Léonard, and Aaron C. Courville. 2013. Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation. CoRR abs/1308.3432 (2013). arXiv:1308.3432 http://arxiv.org/abs/1308.3432

3. Zhaowei Cai and Nuno Vasconcelos . 2020 . Rethinking Differentiable Search for Mixed-Precision Neural Networks. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020 , Seattle, WA, USA , June 13-19, 2020. Computer Vision Foundation / IEEE, 2346--2355. https://doi.org/10.1109/ CVPR42600.2020.00242 Zhaowei Cai and Nuno Vasconcelos. 2020. Rethinking Differentiable Search for Mixed-Precision Neural Networks. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. Computer Vision Foundation / IEEE, 2346--2355. https://doi.org/10.1109/ CVPR42600.2020.00242

4. Can Chen , Shuhao Zheng , Xi Chen , Erqun Dong , Xue (Steve) Liu , Hao Liu , and Dejing Dou . 2021 . Generalized DataWeighting via Class-Level Gradient Manipulation . In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021 , NeurIPS 2021, December 6-14, 2021, virtual, Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and JenniferWortman Vaughan (Eds.). 14097--14109. https://proceedings.neurips. cc/paper/2021/hash/75ebb02f92fc30a8040bbd625af999f1-Abstract.html Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, and Dejing Dou. 2021. Generalized DataWeighting via Class-Level Gradient Manipulation. In Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, and JenniferWortman Vaughan (Eds.). 14097--14109. https://proceedings.neurips. cc/paper/2021/hash/75ebb02f92fc30a8040bbd625af999f1-Abstract.html

5. 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

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