# csdnn

**Repository Path**: frontxiang/csdnn

## Basic Information

- **Project Name**: csdnn
- **Description**: Theano implementation of Cost-Sensitive Deep Neural Networks
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-07
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Cost-Sensitive Deep Neural Networks (CSDNN)

Theano implementation of the CSDNN model proposed in [Cost-Aware Pre-Training for Multiclass Cost-Sensitive Deep Learning](http://people.csail.mit.edu/andyyuan/docs/ijcai-16.csdnn.paper.pdf), in *Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI)*, 2016.

If you use the code, please cite the paper as:
```
@inproceedings{chung2016csdnn,
  title     = {Cost-aware pre-training for multiclass cost-sensitive deep learning},
  author    = {Chung, Yu-An and Lin, Hsuan-Tien and Yang, Shao-Wen},
  booktitle = {IJCAI},
  year      = {2016}
}
```

There's also a follow-up work here: [Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation](https://arxiv.org/abs/1611.05134)
```
@article{chung2016auxcst,
  title   = {Cost-sensitive deep learning with layer-wise cost estimation},
  author  = {Chung, Yu-An and Lin, Hsuan-Tien},
  journal = {arXiv preprint arXiv:1611.05134},
  year    = {2016}
}
```