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It seems like ChebyKANs do not support continual learning. This is probably because b-splines are inherently a local activation function, while Chebyshev expansion is not.
https://colab.research.goog…
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Regardless of computaion, do KAN at present able perform continual learning on 2D input data (or its flattened 1d vector features)? if not what is the main challenge KAN have with it?
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Simple example showing continual learning with the Laplace approximation on toy data.
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**Original article:** https://arxiv.org/abs/2305.04769
**PDF URL:** https://github.com/disha101003/ReScience/blob/master/Re%5BBiRT%5D.pdf
**Metadata URL:**
**Code URL:** https://github.com/disha1…
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Thanks for the great library.
There seems to be an incompatibility issue with the latest torch.func and transformers as the continual learning example no longer works. The error I got was `Runtime…
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Nice work! I am mostly interested in your recent work _SegViTv2_, which can be easily extended to semantic segmentation under the continual learning setting. Where is the corresponding code? Look forw…
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Thank you for this excellent work, open sourcing the code, and the accessible write-ups. Did you by any chance already evaluate the model under sequential task learning? I'd like to know if this model…
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| Task | L2M | LoRA |
|--------|--------|--------|
| hammer-v2 | Cell | Cell |
| push-wall-v2 | Cell | Cell |
| faucet-close-v2 | Cell | Cell |
| push-back-v2 | Cell | Cell |
| stick-pull-v2 | C…
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# Welcome to JunYoung's blog | Continual learning/Lifelong learning의 개념과 방법론 총정리
Continual learning/Lifelong learning
[https://junia3.github.io/blog/continual](https://junia3.github.io/blog/continua…