πΊ ML Youtuber |
π©βπ PhD |
Interested in Multimodal Deep Learning, Vision and Language, Interpretability, Explainability.
Highlights
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Heidelberg-NLP/VALSE
Heidelberg-NLP/VALSE PublicData repository for the VALSE benchmark.
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Heidelberg-NLP/MM-SHAP
Heidelberg-NLP/MM-SHAP PublicThis is the official implementation of the paper "MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks"
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Heidelberg-NLP/CC-SHAP
Heidelberg-NLP/CC-SHAP PublicCode for "On Measuring Faithfulness of Natural Language Explanations"
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Heidelberg-NLP/CC-SHAP-VLM
Heidelberg-NLP/CC-SHAP-VLM PublicOfficial code implementation for the paper "Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Explanations?"
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