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Update news #496

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Jan 10, 2025
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Update news #496

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3 changes: 2 additions & 1 deletion README.md
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Expand Up @@ -7,7 +7,6 @@
[![DOI:10.1007/978-3-030-76423-4_3](https://zenodo.org/badge/DOI/10.1007/978-3-030-76423-4_3.svg)](https://doi.org/10.1007/978-3-030-76423-4_3)
[![DOI:10.18653/v1/2023.nlposs-1.18](https://zenodo.org/badge/DOI/10.18653/v1/2023.nlposs-1.18.svg)](https://doi.org/10.18653/v1/2023.nlposs-1.18)


***torchdistill*** (formerly *kdkit*) offers various state-of-the-art knowledge distillation methods
and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code.
Even when you need to extract intermediate representations in teacher/student models,
Expand All @@ -19,6 +18,8 @@ In addition to knowledge distillation, this framework helps you design and perfo
simply by excluding teacher entries from a declarative yaml config file.
You can find such examples below and in [configs/sample/](https://github.com/yoshitomo-matsubara/torchdistill/tree/main/configs/sample/).

In December 2023, ***torchdistill*** officially joined [PyTorch Ecosystem](https://pytorch.org/ecosystem/).

When you refer to ***torchdistill*** in your paper, please cite [these papers](https://github.com/yoshitomo-matsubara/torchdistill#citation)
instead of this GitHub repository.
**If you use** ***torchdistill*** **as part of your work, your citation is appreciated and motivates me to maintain and upgrade this framework!**
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