190

Bibliography

[151] Hanxiao Liu, Karen Simonyan, and Yiming Yang. Darts: Differentiable architecture

search. In Proceedings of the International Conference on Learning Representations,

pages 1–13, 2019.

[152] Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, and Zhouchen Lin. Investigating

bi-level optimization for learning and vision from a unified perspective: A survey and

beyond. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.

[153] Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-

Yang Fu, and Alexander C Berg. Ssd: Single shot multibox detector. In Proceedings

of the European Conference on Computer Vision, pages 21–37, 2016.

[154] Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin,

and Baining Guo. Swin transformer: Hierarchical vision transformer using shifted

windows. In Proc. of ICCV, pages 10012–10022, 2021.

[155] Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P Xing, and Zhiqiang Shen.

Nonuniform-to-uniform quantization: Towards accurate quantization via generalized

straight-through estimation. In Proceedings of the IEEE/CVF Conference on Com-

puter Vision and Pattern Recognition, pages 4942–4952, 2022.

[156] Zechun Liu, Barlas Oguz, Aasish Pappu, Lin Xiao, Scott Yih, Meng Li, Raghura-

man Krishnamoorthi, and Yashar Mehdad. Bit: Robustly binarized multi-distilled

transformer. In Advances In Neural Information Processing Systems, 2022.

[157] Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, and Kwang-

Ting Cheng. How do adam and training strategies help bnns optimization. In Proc.

of ICML, pages 6936–6946, 2021.

[158] Zechun Liu, Zhiqiang Shen, Marios Savvides, and Kwang-Ting Cheng.

Reactnet:

Towards precise binary neural network with generalized activation functions. In Pro-

ceedings of the European Conference on Computer Vision, pages 143–159, 2020.

[159] Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, and Kwang-Ting Cheng.

Bi-real net: Enhancing the performance of 1-bit cnns with improved representational

capability and advanced training algorithm. In Proceedings of the European Confer-

ence on Computer Vision, pages 747–763, 2018.

[160] Zhen-Tao Liu, Si-Han Li, Min Wu, Wei-Hua Cao, Man Hao, and Lin-Bo Xian. Eye

localization based on weight binarization cascade convolution neural network. Neu-

rocomputing, 378:45–53, 2020.

[161] Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, and Wen Gao. Post-

training quantization for vision transformer. Advances in Neural Information Pro-

cessing Systems, 34:28092–28103, 2021.

[162] Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, and Changshui

Zhang. Learning efficient convolutional networks through network slimming. In Pro-

ceedings of the IEEE International Conference on Computer Vision, pages 2736–2744,

2017.

[163] Jonathan Long, Evan Shelhamer, and Trevor Darrell. Fully convolutional networks

for semantic segmentation. In Proceedings of the IEEE conference on computer vision

and pattern recognition, pages 3431–3440, 2015.