Update README.md

README.md

@@ -6,7 +6,30 @@ colorTo: gray
 sdk: static
 pinned: false
 short_description: Model-agnostic Toolkit for Neural Network Calibration
-arxiv: 2211.16274
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+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}
+}
+```