Supplemental Material: Lifelong Generative Modelling Using Dynamic Expansion Graph Model
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Abstract (arXiv)
In this article, we provide the appendix for Lifelong Generative Modelling Using Dynamic Expansion Graph Model. This appendix includes additional visual results as well as the numerical results on the challenging datasets. In addition, we also provide detailed proofs for the proposed theoretical analysis framework. The source code can be found in https://github.com/dtuzi123/Expansion-Graph-Model.
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References · 16
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- 2016Energy-based Generative Adversarial Networkcited by 119
- 2018Self-Supervised GANs via Auxiliary Rotation Losscited by 94
- 2017Continual Learning in Generative Adversarial Netscited by 51
- 2017Lifelong Generative Modelingcited by 51
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