1. Ahn, Sungsoo, Hu, Shell Xu, Damianou, Andreas, Lawrence, Neil D., & Dai, Zhenwen (2019). Variational information distillation for knowledge transfer. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 9163–9171).
2. Long short-term memory and learning-to-learn in networks of spiking neurons;Bellec;Advances in Neural Information Processing Systems,2018
3. Beyer, Lucas, Zhai, Xiaohua, Royer, Amélie, Markeeva, Larisa, Anil, Rohan, & Kolesnikov, Alexander (2022). Knowledge distillation: A good teacher is patient and consistent. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 10925–10934).
4. SpikeProp: backpropagation for networks of spiking neurons;Bohte,2000
5. Bu, Tong, Fang, Wei, Ding, Jianhao, Dai, PengLin, Yu, Zhaofei, & Huang, Tiejun (2021). Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks. In International conference on learning representations.