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 Deep Learning



64ad7b36b497f375ded2e6f15713ed4c-Paper-Conference.pdf

Neural Information Processing Systems

When developing deep learning models, we usually decide what task we want to solve then search for a model that generalizes well on the task. An intriguing question would be: what if, instead of fixing the task and searching in the model space, we fix the model and search in the task space?








Implicit Graph Neural Networks Fangda Gu

Neural Information Processing Systems

Graph neural networks (GNNs) (Zhou et al., 2018; Zhang et al., 2020) have been widely used on graph-structured data to obtain a meaningful representation of nodes in the graph.