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post-hoc-cbm Public
Code for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
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Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
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Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023
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debug-mistakes-cce Public
Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
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DeepLabCut Public
Forked from DeepLabCut/DeepLabCutMarkerless pose estimation of user-defined features with deep learning for all animals, including humans
Python GNU Lesser General Public License v3.0 UpdatedOct 6, 2019
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