1. Ahmed, K., Torresani, L.: Maskconnect: Connectivity learning by gradient descent. In: European Conference on Computer Vision (ECCV) (2018)
2. Angeline, P.J., Saunders, G.M., Pollack, J.B.: An evolutionary algorithm that constructs recurrent neural networks. IEEE transactions on neural networks 5 1, 54–65 (1994)
3. Ashok, A., Rhinehart, N., Beainy, F., Kitani, K.M.: N2n learning: Network to network compression via policy gradient reinforcement learning. In: International Conference on Learning Representations (2018)
4. Baker, B., Gupta, O., Naik, N., Raskar, R.: Designing neural network architectures using reinforcement learning. In: International Conference on Learning Representations (2017a)
5. Baker, B., Gupta, O., Raskar, R., Naik, N.: Accelerating Neural Architecture Search using Performance Prediction. In: NIPS Workshop on Meta-Learning (2017b)