Towards Stable and Efficient Training of Verifiably Robust Neural Networks.
Huan ZhangHongge ChenChaowei XiaoSven GowalRobert StanforthBo LiDuane S. BoningCho-Jui HsiehPublished in: ICLR (2020)
Keyphrases
- neural network
- training process
- training algorithm
- computationally efficient
- pattern recognition
- training set
- data sets
- feedforward neural networks
- test set
- object recognition
- genetic algorithm
- decision trees
- fault diagnosis
- partial occlusion
- artificial intelligence
- rule extraction
- feed forward neural networks
- real time
- recurrent networks
- neural network training