ResBuilder: Automated Learning of Depth with Residual Structures
- 17 September 2024
- book chapter
- Published by Springer Nature
- p. 308-323
Abstract
No abstract availableKeywords
All Related Versions
This publication has 11 references indexed in Scilit:
- Efficient and sparse neural networks by pruning weights in a multiobjective learning approachComputers & Operations Research, 2022
- AutoML: A survey of the state-of-the-artKnowledge-Based Systems, 2021
- A comprehensive survey on model compression and accelerationArtificial Intelligence Review, 2020
- MaskConnect: Connectivity Learning by Gradient Descent2018
- Learning Transferable Architectures for Scalable Image Recognition2018
- Channel Pruning for Accelerating Very Deep Neural Networks2017
- EMNIST: Extending MNIST to handwritten letters2017
- Deep Residual Learning for Image Recognition2016
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015
- Gradient-based learning applied to document recognitionProceedings of the IEEE, 1998