Foundations of Machine Learning Interpretability
Collection
5 items
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Updated
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1
Gianluigi Lopardo
glopardo
AI & ML interests
Statistical Learning, eXplainable AI, Computational Linguistics, Topic Modeling, Sentometrics
Organizations
upvoted
a
collection
3 months ago
upvoted
6
papers
3 months ago
SMACE: A New Method for the Interpretability of Composite Decision Systems
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2111.08749
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Comparing Feature Importance and Rule Extraction for Interpretability on Text Data
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2207.01420
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Published
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A Sea of Words: An In-Depth Analysis of Anchors for Text Data
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2205.13789
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Published
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Understanding Post-hoc Explainers: The Case of Anchors
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2303.08806
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Published
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Faithful and Robust Local Interpretability for Textual Predictions
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2311.01605
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Published
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2
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
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2402.03485
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2