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Winning SubNetwork (WSN), Soft-SubNetwork (SoftNet)

Home Page: https://openreview.net/forum?id=z57WK5lGeHd

License: MIT License

Shell 0.04% Python 99.96%
class-incremental-learning continual-learning few-shot-class-incremental-learning few-shot-learning

softnet-fscil's Introduction

- Train SoftNet on Topic split of CIFAR100 (base session training)

>> ./train_soft_cifar.sh #gpu train

- Train and Evaluation of SoftNet on Topic split of CIFAR100 (few-shot incremental session traing and evaluation)

>> ./train_soft_cifar.sh #gpu test

- Train SoftNet + FSO on Topic split of CIFAR100 (base session training)

>> update soon

Update further soon...

@inproceedings{
kang2023on,
title={On the Soft-Subnetwork for Few-Shot Class Incremental Learning},
author={Haeyong Kang and Jaehong Yoon and Sultan Rizky Hikmawan Madjid and Sung Ju Hwang and Chang D. Yoo},
booktitle={The Eleventh International Conference on Learning Representations },
year={2023},
url={https://openreview.net/forum?id=z57WK5lGeHd}
}

DenseNet, HardNet, and SoftNet

@misc{kang2023forgetfree,
      title={Forget-free Continual Learning with Soft-Winning SubNetworks}, 
      author={Haeyong Kang and Jaehong Yoon and Sultan Rizky Madjid and Sung Ju Hwang and Chang D. Yoo},
      year={2023},
      eprint={2303.14962},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

softnet-fscil's People

Contributors

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softnet-fscil's Issues

Data issue in Paper Table 7 .

Thank you for the inspiring paper in FSCIL!

When reading your paper, it seems that the experimental result of session 4 on CUB200 (Table 7 in the appendix, SoftNet, c = 93% ) is a little misleading. Is it a typo? Or it's the actual results?
截屏2023-08-07 10 33 23

Code

Hello, Any idea when will the code be available?

Trained model

Thank you for your great work.
Can you provide the trained model?
Looking forward to your reply.

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