| | Behavioral Testing of NLP Models with CheckList (github.com/marcotcr) |
| 2 points by samcodes on May 3, 2021 | past |
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| | Lime: Explaining the predictions of any machine learning classifier (github.com/marcotcr) |
| 174 points by polm23 on Feb 5, 2018 | past | 9 comments |
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| | High-Precision Model-Agnostic Explanations (github.com/marcotcr) |
| 1 point by rrherr on Feb 3, 2018 | past |
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| | Lime: model agnostic interpretability for machine learning (github.com/marcotcr) |
| 5 points by iridium5 on May 16, 2017 | past | 2 comments |
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| | Explaining what machine learning classifiers (or models) are doing (github.com/marcotcr) |
| 1 point by iridium5 on May 9, 2017 | past |
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| | Lime – Explaining the predictions of any machine learning classifier (github.com/marcotcr) |
| 3 points by Nimsical on Feb 10, 2017 | past |
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| | Lime: Explaining the predictions of any machine learning classifier (github.com/marcotcr) |
| 3 points by mihau on Nov 18, 2016 | past |
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| | LIME: Explaining the predictions of any Machine Learning classifier (github.com/marcotcr) |
| 5 points by logancg on April 21, 2016 | past | 1 comment |
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