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...@@ -60,6 +60,8 @@ top 5% notable papers from ICLR 2023 ...@@ -60,6 +60,8 @@ top 5% notable papers from ICLR 2023
### 15 May 2023: Foundation Models for Robustness to Distribution Shifts<br> ### 15 May 2023: Foundation Models for Robustness to Distribution Shifts<br>
author and presenter: Ananya Kumar (Stanford) author and presenter: Ananya Kumar (Stanford)
[slides](uploads/cdc9352c8e2c719003da80b5fb05dc89/23-05-15-Kumar-Foundation_Models_for_Robust_Machine_Learning.pdf)
paper: paper:
* [Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.](https://arxiv.org/abs/2202.10054) <br> * [Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution.](https://arxiv.org/abs/2202.10054) <br>
Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang. International Conference on Learning Representations, (ICLR Oral) 2022. Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang. International Conference on Learning Representations, (ICLR Oral) 2022.
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