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tabular data/ noisy instances #2

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nazaretl opened this issue May 9, 2022 · 2 comments

nazaretl commented May 9, 2022

Hi,
thanks for sharing your implementation. I have two questions about it:

Does it also work on tabular data?
Is it possible to identify the noisy instances (return the noisy IDs or the clean set)?

Thanks!

Member

quanmingyao commented May 9, 2022

Does it also work on tabular data?

Yes, if you also use over-parameterized networks. You can have a check over Figure 3 in Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering. NeurIPS 2020

Is it possible to identify the noisy instances (return the noisy IDs or the clean set)?

Do you mean noisy feature? The idea does not ensure this, can empirical may work for very noisy features.

Author

nazaretl commented May 16, 2022

thank you!
by noisy instances I mean corrupted labels: whether it is possible to find which labels are corrupted?

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