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Pytorch implementation of unsupervised domain adaptation methods for deep transfer learning

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Unsupervised Domain Adatation

Pytoch implementations of:

  1. Ganin, Yaroslav, et al. "Domain-adversarial training of neural networks." The journal of machine learning research 17.1 (2016): 2096-2030.

  2. Sankaranarayanan, Swami, et al. "Generate to adapt: Aligning domains using generative adversarial networks." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.

Datasets

  1. MINST -> MINST-M

Set data directory to ./data/<dataset_name>

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Pytorch implementation of unsupervised domain adaptation methods for deep transfer learning

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