*[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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@@ -69,7 +72,6 @@ When ML systems are deployed, they often face test examples that are different f
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@@ -69,7 +72,6 @@ When ML systems are deployed, they often face test examples that are different f
**Bio:**<br>
**Bio:**<br>
Ananya is a final year PhD student at Stanford University advised by Percy Liang and Tengyu Ma. His PhD work focuses on representation learning, foundation models, and reliable machine learning.
Ananya is a final year PhD student at Stanford University advised by Percy Liang and Tengyu Ma. His PhD work focuses on representation learning, foundation models, and reliable machine learning.
## Past Meetings
### 17 April 2023: Dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways<br>
### 17 April 2023: Dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways<br>
author and presenter: Willem Wybo, INM-6
author and presenter: Willem Wybo, INM-6
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@@ -538,4 +540,4 @@ A training schedule using filter pruning and orthogonal reinitialization
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@@ -538,4 +540,4 @@ A training schedule using filter pruning and orthogonal reinitialization