1. Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding;han,2015
2. RNNPool: Efficient non-linear pooling for RAM constrained inference;saha;Advances in neural information processing systems,2020
3. Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks
4. Detail-Preserving Pooling in Deep Networks
5. Deep residual learning for image recognition;he;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016