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Unifying concept-based explanations
Vikram V. Ramaswamy , Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky
Preprint, 2022
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Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset
Vikram V. Ramaswamy , Sing Yu Lin, Dora Zhao, Aaron B. Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky
Preprint, 2023
arxiv  / 
code
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Gender artifacts in Visual Datasets
Nicole Meister*, Dora Zhao*, Angelina Wang, Vikram V. Ramaswamy , Ruth Fong, Olga Russakovsky
ICCV, 2023
arxiv  / 
code
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Overlooked factors in concept based explanations: Dataset choice, concept saliency and human capability
Vikram V. Ramaswamy , Sunnie S. Y. Kim, Ruth Fong, Olga Russakovsky
CVPR, 2023
arxiv  / 
code
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ELUDE: Generating interpretable explanations via a decomposition into labelled and unlabelled features
Vikram V. Ramaswamy , Sunnie S. Y. Kim, Nicole Meister, Ruth Fong, Olga Russakovsky
preprint, 2022
arxiv
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HIVE: Evaluating the Human Interpretability of Visual Explanations
Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy , Ruth Fong, Olga Russakovsky
ECCV, 2022
arxiv  / 
code
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Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation
Angelina Wang, Vikram V. Ramaswamy , Olga Russakovsky
FAccT, 2022
arxiv  / 
code
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Fair Attribute Classification through Latent Space De-biasing
Vikram V. Ramaswamy , Sunnie S. Y. Kim, Olga Russakovsky
CVPR, 2021
arxiv  / 
code
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New Query Lower Bounds for Submodular Function Minimization
(α - β) Andrei Graur, Tristan Pollner, V. Ramaswamy , S. Matthew Weinberg
ICTS, 2020
arxiv
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Space Complexity of Reachability Testing in Labelled Graphs
(α - β) V. Ramaswamy, Jayalal Sarma, K. S. Sunil
LATA, 2017. JCSS, 2019.
pdf
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