Accountable AI AND Arxiv Doc
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13 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
[2011.06225] A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
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2022-09-08 About
[2010.00711] A Survey of the State of Explainable AI for Natural Language Processing
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2022-09-08 About
[2008.07267] A Survey of Active Learning for Text Classification using Deep Neural Networks
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2022-09-06 About
[2007.04612] Concept Bottleneck Models
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2020-07-10 About
[2006.09462] Selective Question Answering under Domain Shift
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2020-06-30 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
[2004.14545] Explainable Deep Learning: A Field Guide for the Uninitiated
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2020-05-01 About
[1905.11852] EDUCE: Explaining model Decisions through Unsupervised Concepts Extraction
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2019-12-05 About
[1506.02142] Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
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2019-05-13 About
[1602.04938] "Why Should I Trust You?": Explaining the Predictions of Any Classifier
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2018-09-09 About