Experiments for Adversarial Invariant Feature Learning under Accuracy Constraint for Domain Generalization

Paper Info

$ python dataset.py
- The MNISTR dataset will be automatically downloaded under ~/.torch/datasets/ by running the script.
$ ./run.sh
Then you can make a score table in ./analyze_results.ipynb

Ghifary, M., Bastiaan Kleijn, W., Zhang, M., Balduzzi, D.: Domain generalization for object recognition with multi-task autoencoders. In: Proc. of the IEEE International Conference on Computer Vision (ICCV) (2015)
- We borrow the dataset from their repository https://github.com/ghif/mtae

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
docs		docs
.gitignore		.gitignore
AFLAC.py		AFLAC.py
CIDDG.py		CIDDG.py
DAN.py		DAN.py
README.md		README.md
analyze_results.ipynb		analyze_results.ipynb
dataset.py		dataset.py
learner.py		learner.py
run.py		run.py
run.sh		run.sh
utils.py		utils.py