200
Bibliography
[291] Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu,
Yunsheng Wu, and Ling Shao. Dynamic distribution pruning for efficient network
architecture search. arXiv preprint arXiv:1905.13543, 2019.
[292] Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, and
Qi Tian. Multinomial distribution learning for effective neural architecture search.
In Proc. of ICCV, 2019.
[293] Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, and Dongwei Ren.
Distance-iou loss: Faster and better learning for bounding box regression. In Proceed-
ings of the AAAI conference on artificial intelligence, volume 34, pages 12993–13000,
2020.
[294] Zhedong Zheng, Liang Zheng, and Yi Yang. generated by gan improve the person re-
identification baseline in vitro. In Proceedings of the IEEE International Conference
on Computer Vision, pages 3754–3762, 2017.
[295] Zhun Zhong, Liang Zheng, Shaozi Li, and Yi Yang. Generalizing a person retrieval
model hetero-and homogeneously. In Proceedings of the European conference on com-
puter vision (ECCV), pages 172–188, 2018.
[296] Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, and Yi Yang. Invariance matters:
Exemplar memory for domain adaptive person re-identification. In Proceedings of the
IEEE Conference on Computer Vision and Pattern Recognition, pages 598–607, 2019.
[297] Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc
Le, Qiang Liu, and Dale Schuurmans. Go wide, then narrow: Efficient training of deep
thin networks. In International Conference on Machine Learning, pages 11546–11555.
PMLR, 2020.
[298] Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian McAuley, Ke Xu, and Furu Wei.
Bert loses patience: Fast and robust inference with early exit. Advances in Neural
Information Processing Systems, 33:18330–18341, 2020.
[299] Chenzhuo Zhu, Song Han, Huizi Mao, and William J Dally. Trained ternary quanti-
zation. In Proceedings of the International Conference on Learning Representations,
pages 1–10, 2017.
[300] Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros. Unpaired image-to-
image translation using cycle-consistent adversarial networks. In Proceedings of the
IEEE International Conference on Computer Vision, pages 2223–2232, 2017.
[301] Shilin Zhu, Xin Dong, and Hao Su. Binary ensemble neural network: More bits per
network or more networks per bit? In Proceedings of the IEEE/CVF Conference on
Computer Vision and Pattern Recognition, pages 4923–4932, 2019.
[302] Xiangyu Zhu, Zhen Lei, Xiaoming Liu, Hailin Shi, and Stan Z Li. Face alignment
across large poses: A 3d solution. In Proceedings of the IEEE conference on computer
vision and pattern recognition, pages 146–155, 2016.
[303] Bohan Zhuang, Chunhua Shen, Mingkui Tan, Lingqiao Liu, and Ian Reid. Structured
binary neural networks for accurate image classification and semantic segmentation.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recog-
nition, pages 413–422, 2019.