Explainable AI AND Machine learning: techniques
Common descendants
16 Documents
[2301.04709] Causal Abstraction for Faithful Model Interpretation
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2023-01-14 About
[2207.05221] Language Models (Mostly) Know What They Know
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2022-09-15 About
[2010.00711] A Survey of the State of Explainable AI for Natural Language Processing
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2022-09-08 About
Rajiv Shah sur Twitter : "How to explain predictions from 🤗 transformer models?..."
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2022-08-18 About
[2007.04612] Concept Bottleneck Models
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2020-07-10 About
[1912.08422] Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation
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2020-05-12 About
[2004.14843] Knowledge Graph Embeddings and Explainable AI
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2020-05-04 About
Interpretable Named entity recognition with keras and LIME – Depends on the definition
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2020-01-09 About
[1905.11852] EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction
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2019-12-05 About
Trying to Understand Recurrent Neural Networks for Language Processing (slides)
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2018-11-11 About
PROCEEDINGS of the BlackboxNLP Workshop
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2018-11-06 About
Analyzing and interpreting neural networks for NLP (Workshop's Home page)
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2018-11-06 About
Trying to Understand Recurrent Neural Networks for Language Processing (tweets)
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2018-11-01 About
GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier
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2018-09-09 About
[1602.04938] "Why Should I Trust You?": Explaining the Predictions of Any Classifier
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2018-09-09 About
The Dark Secret at the Heart of AI - MIT Technology Review
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2017-12-31 About