Reviews: Channel Gating Neural Networks

Originality: The proposed idea is not very different from other dynamic pruning methods. In my opinion the main contribution is the reduced amount of extra computation needed for the pruning that allows interesting computational gains and the GPU friendly way of pruning based on channels. The use of channel grouping to avoid a biased selection of the channels is also quite interesting. In dynamic pruning authors should also cite: [Convolutional Networks with Adaptive Inference Graphs. Quality: The proposed contribution makes sense and is justified by interesting experiments on CIFAR10 and Imagenet.