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View Code? Open in Web Editor NEW[ICML 2023] Parameter-Level Soft-Masking for Continual Learning
Home Page: https://arxiv.org/abs/2306.14775
License: Creative Commons Attribution Share Alike 4.0 International
[ICML 2023] Parameter-Level Soft-Masking for Continual Learning
Home Page: https://arxiv.org/abs/2306.14775
License: Creative Commons Attribution Share Alike 4.0 International
Thanks for the great work and also sharing the code.
Currently, I download a version of Image-100 from https://www.kaggle.com/datasets/ambityga/imagenet100, and I guess the ImageNet-100 is not a conventional dataset, would you please share the ImageNet subset (Imagenet-100) you use and the code for extraction and preparation?
Thanks for your work. To replicate this research in an incremental learning scenario, the main idea is to replace the final classification head with a linear layer and employ cross-entropy loss for backward. I'm puzzled if it's possible to calculate
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