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Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability


Jul 20, 2022
Vikram V. Ramaswamy , Sunnie S. Y. Kim , Ruth Fong , Olga Russakovsky


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Gender Artifacts in Visual Datasets


Jun 18, 2022
Nicole Meister , Dora Zhao , Angelina Wang , Vikram V. Ramaswamy , Ruth Fong , Olga Russakovsky


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ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features


Jun 16, 2022
Vikram V. Ramaswamy , Sunnie S. Y. Kim , Nicole Meister , Ruth Fong , Olga Russakovsky


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Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks


Jun 06, 2022
Zhiwei Deng , Olga Russakovsky


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Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation


May 10, 2022
Angelina Wang , Vikram V. Ramaswamy , Olga Russakovsky

* ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2022 

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CARETS: A Consistency And Robustness Evaluative Test Suite for VQA


Mar 15, 2022
Carlos E. Jimenez , Olga Russakovsky , Karthik Narasimhan

* ACL 2022 

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HIVE: Evaluating the Human Interpretability of Visual Explanations


Jan 10, 2022
Sunnie S. Y. Kim , Nicole Meister , Vikram V. Ramaswamy , Ruth Fong , Olga Russakovsky

* HIVE can be found at https://princetonvisualai.github.io/HIVE 

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Multi-query Video Retrieval


Jan 10, 2022
Zeyu Wang , Yu Wu , Karthik Narasimhan , Olga Russakovsky


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Understanding and Evaluating Racial Biases in Image Captioning


Jun 16, 2021
Dora Zhao , Angelina Wang , Olga Russakovsky


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