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Karthikeyan Natesan Ramamurthy

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models


Oct 13, 2022
Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das


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Higher-Order Attention Networks


Jun 01, 2022
Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy


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Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners


Feb 02, 2022
Karthikeyan Natesan Ramamurthy, Amit Dhurandhar, Dennis Wei, Zaid Bin Tariq


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Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating Toxic Text Datasets


Dec 07, 2021
Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh

* 15 pages 

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A label efficient two-sample test


Nov 29, 2021
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha


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Label efficient two-sample test


Nov 17, 2021
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha


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Data-Centric AI Requires Rethinking Data Notion


Oct 13, 2021
Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzman Saenz


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Your fairness may vary: Group fairness of pretrained language models in toxic text classification


Aug 03, 2021
Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh


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Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations


Jun 08, 2021
Yair Schiff, Vijil Chenthamarakshan, Samuel Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das


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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI


Jun 04, 2021
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jiri Navratil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

* Added references 

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