17 citations · 25 across the 5 of their papers we have counts for
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cs.LG2023
Learning Sparsity of Representations with Discrete Latent Variables
Zhao Xu, Daniel Onoro Rubio, Giuseppe Serra +1
Deep latent generative models have attracted increasing attention due to the capacity of combining the strengths of deep learning and probabilistic models in an elegant way. The da…
cs.LG2022★ 8 cited
Self-Supervised Representation Learning via Latent Graph Prediction
Yaochen Xie, Zhao Xu, Shuiwang Ji
Self-supervised learning (SSL) of graph neural networks is emerging as a promising way of leveraging unlabeled data. Currently, most methods are based on contrastive learning adapt…