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https://virtual2023.aclweb.org/paper_P3999.html
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### 🚀 The feature, motivation and pitch
Explainability has been an important component for users to probe model behavior, understand feature and structural importances, obtain new knowledge about t…
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Operation
Terminals / Prompts
Action
Description
Tools
Status
nlpattribute
nlpattribute token | phrase | sentence {classes}
…
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I think we could get pretty far by:
1) Paramaterizing key cruxes around EA.
2) Surveying people, particularly senior EAs, on where they stand on these cruxes.
3) Posting the results publicly.
If…
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I know it's an aesthetic thing, but I don't think the monospace font is very attractive:
Latin Modern Mono?
It _almost_ looks like it's gone wrong (double-spaced or something).
Feel free…
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Really enjoying this library, so thanks to everyone who has worked on it. I know that we can use the 'features_to_vary' arg to limit DiCE to produce counterfactuals from a subset of features, but is i…
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I am trying to find CF 5 examples on twodatasets: iris, wine. However, sometimes it takes more time for iris than wine (25sec VS 3sec). Moreover, the time spent on iris also fluctuates. The iris data…
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Hi everyone,
I am still quite new to machine learning coding. I managed to do a few things with DICE, although I was wondering how do you manage time series data for a general model?
The idea is…
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Hi Yanou, first of all, many thanks for these excellent counterfactual adaptations of existing explanation methods. I am using `SEDC_Explainer`, `ShapCounterfactual`, and `LimeCounterfactual` to expla…
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# Generate counterfactual examples
dice_exp = exp.generate_counterfactuals(query_instance, total_CFs=4, desired_class="opposite")#,proximity_weight=1.5, diversity_weight=1.0)
# Visualize counterfact…