Improving GAN training with probability ratio clipping and sample reweighting
Despite success on a wide range of problems related to vision, generative adversarial networks (GANs) often suffer from inferior performance due to unstable training, especially for text generation. To solve this issue, we propose a new variational GAN training framework which enjoys superior traini...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8996 https://ink.library.smu.edu.sg/context/sis_research/article/9999/viewcontent/2020_NeurIPS_GAN.pdf |
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| Institution: | Singapore Management University |
| Language: | English |