1. Alwani, M., Madhavan, V., & Wang, Y. (2022). DECORE: Deep Compression with Reinforcement Learning. In CVPR.
2. Buitinck, L., Louppe, G., Blondel, M., Pedregosa, F., Mueller, A., Grisel, O., et al. (2013). API design for machine learning software: Experiences from the scikit-learn project. In ECML pKDD workshop: languages for data mining and machine learning (pp. 108–122).
3. Castells, T., & Yeom, S.-K. (2023). Automatic Neural Network Pruning that Efficiently Preserves the Model Accuracy. In AAAI.
4. Iterative clustering pruning for convolutional neural networks;Chang;Knowledge-Based Systems,2023
5. LAP: Latency-aware automated pruning with dynamic-based filter selection;Chen;Neural Networks,2022