Adversarial Disentanglement with Grouped Observations

Source code for the experiments presented in the paper:

@inproceedings{nemeth2020,
  title = "Adversarial Disentanglement with Grouped Observations",
  author = "Jozsef Nemeth",
  booktitle={{Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)}},
  year = "2020",
  arxivId = {2001.04761}

The repository is under construction, the current version is only for the MNIST experiments.

Requirements

• python3, tensorflow 1.13.1 or 1.14, matplotlib, sklearn

Running Experiments

• Extract mnist dataset.
• Run python3 test_mnist_trainings.py to train models.
• Run python3 test_mnist_classify.py for evaluation.