This is stars and forks stats for /AnanyaKumar/transfer_learning repository. As of 27 Apr, 2024 this repository has 136 stars and 12 forks.
Code for our paper: Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang. ICLR 2022. This paper will be published as an Oral at ICLR 2022. This repository is still being improved and will be updated without backwards compatibility for now. Setup and installation The first time you run this project, in the current directory, which contains README, create a virtualenv: python3 -m venv .env source .env/bin/activate pip...
Code for our paper: Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution. Ananya Kumar, Aditi Raghunathan, Robbie Jones, Tengyu Ma, Percy Liang. ICLR 2022. This paper will be published as an Oral at ICLR 2022. This repository is still being improved and will be updated without backwards compatibility for now. Setup and installation The first time you run this project, in the current directory, which contains README, create a virtualenv: python3 -m venv .env source .env/bin/activate pip...
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