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2202.10054
Cited By
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
21 February 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Percy Liang
OODD
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Papers citing
"Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution"
50 / 492 papers shown
Title
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
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Multi-Scale Finetuning for Encoder-based Time Series Foundation Models
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Savitha Ramasamy
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17 Jun 2025
LARGO: Low-Rank Regulated Gradient Projection for Robust Parameter Efficient Fine-Tuning
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Liu Liu
Baosheng Yu
Jiayan Qiu
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14 Jun 2025
Curriculum-Guided Layer Scaling for Language Model Pretraining
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Neil Band
Ehsan Adeli
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13 Jun 2025
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Hongkang Li
Changlong Shi
Guowei Rong
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Dongsheng Wang
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Meng Wang
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56
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10 Jun 2025
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions
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Le Wu
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Guangyi Lv
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08 Jun 2025
Exploring Visual Prompting: Robustness Inheritance and Beyond
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121
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0
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0
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0
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Skyler Seto
Hadi Pouransari
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Raviteja Vemulapalli
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48
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50
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56
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194
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63
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69
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