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Stanford University
- Stanford, CA
- https://mertyg.github.io
- @mertyuksekgonul
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vision-language-models-are-bows
vision-language-models-are-bows PublicExperiments 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
debug-mistakes-cce PublicMeaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
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post-hoc-cbm
post-hoc-cbm PublicCode for the paper "Post-hoc Concept Bottleneck Models". Spotlight @ ICLR 2023
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microsoft/mechanistic-error-probe
microsoft/mechanistic-error-probe PublicA mechanistic approach for understanding and detecting factual errors of large language models.
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beyond-confidence-atypicality
beyond-confidence-atypicality PublicRepository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"
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PathologyFoundation/plip
PathologyFoundation/plip PublicPathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…
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