/ARML_Auxiliary_Task_Reweighting

Code for paper "Auxiliary Task Reweighting for Minimum-data Learning" (NeurIPS 2020)

Primary LanguagePython

ARML_Auxiliary_Task_Reweighting

Code for our paper "Auxiliary Task Reweighting for Minimum-data Learning" by Baifeng Shi, Judy Hoffman, Kate Saenko, Trevor Darrell, and Huijuan Xu, NeurIPS 2020.

Currently this repo contains the code for semi-supervised learning (SSL) experiments. Please refer to the README in the corresponsing directory.

I am updating the code to be compatible with PyTorch version 2 and other recent updates.

If you find this repo useful, please consider citing:

@article{shi2020auxiliary,
  title={Auxiliary Task Reweighting for Minimum-data Learning},
  author={Shi, Baifeng and Hoffman, Judy and Saenko, Kate and Darrell, Trevor and Xu, Huijuan},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  year={2020}
}