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20192025
most citedDouble cycle-consistent generative adversarial network for unsupervised conditional generation

2 citations · 5 across the 6 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 1 cited

Multi-level Knowledge Distillation via Knowledge Alignment and Correlation

Fei Ding, Yin Yang, Hongxin Hu +2

Knowledge distillation (KD) has become an important technique for model compression and knowledge transfer. In this work, we first perform a comprehensive analysis of the knowledge…

cs.LG2020★ 1 cited

Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization

Fei Ding, Xiaohong Zhang, Justin Sybrandt +1

Graph representation learning based on graph neural networks (GNNs) can greatly improve the performance of downstream tasks, such as node and graph classification. However, the gen…