lzb5600/CWIDAM

Python

CWIDAM

This repository is a legacy implementation of the paper Missingness-Pattern-Adaptive Learning With Incomplete Data.

Requirements:

Python 3.6.8
PyTorch 1.0.1

To produce the experiment results of our method:

in Table 2:
```
    python linear_model.py
```
in Table 3:
```
    python nn_Drive.py
```
in Table 4:
```
    python nn_Avila.py
```
in supplementary material:
```
    python linear_model_0.py
```

Citation

If you find this repository helpful, please consider to cite the following paper:

@ARTICLE{10086606,
  author={Gong, Yongshun and Li, Zhibin and Liu, Wei and Lu, Xiankai and Liu, Xinwang and Tsang, Ivor W. and Yin, Yilong},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Missingness-Pattern-Adaptive Learning With Incomplete Data}, 
  year={2023},
  volume={},
  number={},
  pages={1-14},
  doi={10.1109/TPAMI.2023.3262784}}