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Accelerating Embedding Training on Multitask Scenario [Efficient ML Model]

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In this project, we developed a framework "MT2ST" for embedding training acceleration.

execute !git clone https://github.com/stanfordnlp/GloVe.git to download GloVe.

To run the project, execute the training.py file.

Citation

If you find MT2ST useful or relevant to your project and research, please kindly cite our paper:

@article{liu2024mt2stadaptivemultitasksingletask,
      title={MT2ST: Adaptive Multi-Task to Single-Task Learning}, 
      author={Dong Liu},
      year={2024},
      eprint={2406.18038},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2406.18038}, 
}

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Accelerating Embedding Training on Multitask Scenario [Efficient ML Model]

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