1. Athiwaratkun, B., Finzi, M., Izmailov, P., & Wilson, A. G. (2019). There are many consistent explanations of unlabeled data: Why you should average. In International conference on learning representations.
2. Cost of physical vehicle crash testing;Baguley,2008
3. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples;Belkin;Journal of Machine Learning Research,2006
4. Mixmatch: A holistic approach to semi-supervised learning;Berthelot,2019
5. Bottou, L. (2010). Large-scale machine learning with stochastic gradient descent. In Proceedings of the international conference on computational statistics (pp. 177–186).