Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space

Author:

Chavan Arnav1,Shen Zhiqiang2,Liu Zhuang3,Liu Zechun4,Cheng Kwang-Ting5,Xing Eric2

Affiliation:

1. IIT Dhanbad

2. CMU

3. UC Berkeley

4. Reality Labs, Meta Inc.

5. HKUST

Publisher

IEEE

Reference66 articles.

1. Is label smoothing truly incompatible with knowledge distillation: An empirical study;shen;International Conference on Learning Representations,0

2. Sliced recursive transformer;shen;ArXiv Preprint,2021

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4. When does label smoothing help?;müller;Advances in neural information processing systems,2019

5. Shufflenet v2: Practical guidelines for efficient cnn architecture design;ma;Proceedings of the European Conference on Computer Vision (ECCV),0

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