DINO (Distribution-Informed Neural Network)

An implementation for "Distribution-Informed Neural Networks for Domain Adaptation Regression" (NeurIPS'22).

Environment Requirements

The code has been tested under Python 3.7. The required packages are as follows:

• numpy==1.18.1
• sklearn==0.22.1
• torch==1.4.0
• jax==0.2.26
• neural-tangents==0.3.9

Data Sets

We used the following data sets in our experiments:

• dSprites
• MPI3D

Acknowledgement

If you find that it is helpful for your research, please consider to cite our paper:

@inproceedings{wu2022distribution,
  title={Distribution-Informed Neural Networks for Domain Adaptation Regression},
  author={Wu, Jun and He, Jingrui and Wang, Sheng and Guan, Kaiyu and Ainsworth, Elizabeth},
  booktitle={Advances in Neural Information Processing Systems},
  year={2022}
}