1. M. Alizadeh, S.A. Tailor, L. Zintgraf, J. van Amersfoort, S. Farquhar, N.D. Lane, Y. Gal, Prospect pruning: finding trainable weights at initialization using meta-gradients (2022)
2. S. Anwar, K. Hwang, W. Sung, Structured pruning of deep convolutional neural networks. https://arxiv.org/abs/1512.08571 (2015)
3. F. Chollet, Xception: deep learning with depthwise separable convolutions. CoRR abs/1610.02357 (2016). http://arxiv.org/abs/1610.02357
4. M. Courbariaux, Y. Bengio, Binarynet: training deep neural networks with weights and activations constrained to +1 or $$-$$1. CoRR abs/1602.02830 (2016)
5. M. Courbariaux, I. Hubara, D. Soudry, R. El-Yaniv, Y. Bengio, Binarized neural networks: Training deep neural networks with weights and activations constrained to +1 or $$-$$1 (2016). https://doi.org/10.48550/ARXIV.1602.02830