Awesome
Deep Embedded Validation
Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
File Structure
toy.py
: code for reproducing the experiments in the toy datasetdev.py
: code for calculating the DEV risk
Procedure
The dev.py:get_weight
can be used to get importance weight
, and dev.py:get_dev_risk
can be used to get validation risk
.
Citation
please cite:
@InProceedings{DEV_2019_ICML,
author = {You, Kaichao and Wang, Ximei and Long, Mingsheng and Jordan, Michael I.},
title = {Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation},
booktitle = {International Conference on Machine Learning (ICML)},
month = {June},
year = {2019}
}