Data-Free Neural Architecture Search via Recursive Label Calibration
- 6 November 2022
- book chapter
- Published by Springer Nature
- p. 391-406
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This publication has 17 references indexed in Scilit:
- MEAL: Multi-Model Ensemble via Adversarial LearningProceedings of the AAAI Conference on Artificial Intelligence, 2019
- FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search2019
- MnasNet: Platform-Aware Neural Architecture Search for Mobile2019
- Progressive Neural Architecture Search2018
- Learning Transferable Architectures for Scalable Image Recognition2018
- ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices2018
- Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks2017
- Xception: Deep Learning with Depthwise Separable Convolutions2017
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- The Proof and Measurement of Association Between Two Things.1961