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 maskconnect-connectivity learning


Nutshell: MaskConnect-Connectivity Learning by Gradient Descent

#artificialintelligence

What does this paper achieve? It introduces an algorithm to learn connections between blocks in deep learning networks. A connection between blocks i and j (i precedes j in the network) indicates that output from i is added to the input to j (which may be getting input from other blocks). How does this help us? This algorithm can be used to determine connections between blocks in existing CNNs that would improve performance, as the authors have demonstrated for ResNet and ResNext in the paper.