Update README.md

README.md

@@ -134,7 +134,7 @@ Unsupervised Domain Adaptation [[ICCV 2019]](https://arxiv.org/pdf/1811.07456v2.
 - **Self-Tuning** - Self-Tuning for Data-Efficient Deep Learning [[ICML 2021]](http://ise.thss.tsinghua.edu.cn/~mlong/doc/Self-Tuning-for-Data-Efficient-Deep-Learning-icml21.pdf) [[Code]](/examples/semi_supervised_learning/image_classification/self_tuning.py)
 - **FlexMatch** - FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling [[NIPS 2021]](https://arxiv.org/abs/2110.08263) [[Code]](/examples/semi_supervised_learning/image_classification/flexmatch.py)
 - **DebiasMatch** - Debiased Learning From Naturally Imbalanced Pseudo-Labels [[CVPR 2022]](https://openaccess.thecvf.com/content/CVPR2022/papers/Wang_Debiased_Learning_From_Naturally_Imbalanced_Pseudo-Labels_CVPR_2022_paper.pdf) [[Code]](/examples/semi_supervised_learning/image_classification/debiasmatch.py)
-- **DST** - Debiased Self-Training for Semi-Supervised Learning [[ArXiv]](https://arxiv.org/abs/2202.07136) [[Code]](/examples/semi_supervised_learning/image_classification/dst.py)
+- **DST** - Debiased Self-Training for Semi-Supervised Learning [[NIPS 2022 Oral]](https://arxiv.org/abs/2202.07136) [[Code]](/examples/semi_supervised_learning/image_classification/dst.py)
 
 ## Installation