---
title: 'NCTV: Neural Clamping Toolkit and Visualization'
emoji: 🦀
colorFrom: yellow
colorTo: gray
sdk: static
pinned: false
short_description: Model-agnostic Toolkit for Neural Network Calibration
---


This is a demo of the approach described in the following papers:
- [Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
](https://arxiv.org/abs/2209.11604)
- [NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration](https://arxiv.org/abs/2211.16274)

```
@article{tang2024neural,
  title={{Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration}},
  author={Yung-Chen Tang and Pin-Yu Chen and Tsung-Yi Ho},
  journal={Transactions on Machine Learning Research},
  issn={2835-8856},
  year={2024},
  url={https://openreview.net/forum?id=qSFToMqLcq},
}

@inproceedings{hsiung2023nctv,
  title={{NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration}}, 
  author={Lei Hsiung and Yung-Chen Tang and Pin-Yu Chen and Tsung-Yi Ho},
  booktitle={Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence},
  publisher={Association for the Advancement of Artificial Intelligence},
  year={2023},
  month={February}
}
```