Prune-then-Finetune

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Prune-then-Finetune

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Official implementation of "Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning" (NeurIPS'25)

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<h1 align="center"> Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning</h1>

> This repo is a preview version and has not been fully tested yet. Feel free to create any issue!

## Updates
:triangular_flag_on_post: (2025.09) Our paper has been accepted at NeurIPS 2025!

:triangular_flag_on_post: (2025.05) Our preprint is made available at [ArXiv](https://arxiv.org/abs/2505.23195).

## Example

First, all datasets can be download from [Google Drive](https://drive.google.com/drive/folders/1vE0ONyqPlym2JaaAoEe0XNDR8FS_d322?usp=drive_link), and the dataset path can be specified by `--root_path ./dataset/`.

Full Finetune:
```bash
sh example/post-training/finetune/Chronos.sh "ETTh1 ETTh2 ETTm1 ETTm2 weather"
sh example/post-training/finetune/test/Chronos.sh "ETTh1 ETTh2 ETTm1 ETTm2 weather"
```

Prune-then-Finetune:
```bash
sh example/post-training/prune-then-finetune/prune/Chronos.sh "ETTh1 ETTh2 ETTm1 ETTm2 weather"
sh example/post-training/prune-then-finetune/finetune/Chronos.sh "ETTh1 ETTh2 ETTm1 ETTm2 weather"
sh example/post-training/prune-then-finetune/test/Chronos.sh "ETTh1 ETTh2 ETTm1 ETTm2 weather"
```

All scripts could be found in `example/benchmark/`.

## Citation
If you find our code helpful, please consider citing our paper:
```
@inproceedings{
less-is-more-prune-then-finetune,
title={Less is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning},
author={Lifan Zhao and Yanyan Shen and Zhaoyang Liu and Xue Wang and Jiaji Deng},
booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems},
year={2025},
url={https://openreview.net/forum?id=jy4bBsr1Jc}
}
```

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