Many important real-world datasets come in the form of graphs or networks: e.g., social networks. Graph Convolutional Neural Network (GCN) is a generalization of convolution neural network over the graph, where filter parameters are typically shared over all locations in the graph.
I have computed whether it is feasible to using Uber/Lyft instead of leasing/owning a car in the future.
This is my reading note on 网络压缩最新进展：2019年最新文章概览, which covers recent advances in more efficient network architecturem, including quantization, pruning and network architecture search. Those works are published in CVPR 2019, ICLR 2019 and ICML 2019.