Arjun Subramonian

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Image Generation

Graph Representations

Preferential Attachment

Top Venues

Publications

Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat
Understanding "Democratization" in NLP and ML Research. CoRR (2024)
Arjun Subramonian, Jian Kang, Yizhou Sun
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks. CoRR (2024)
Vagrant Gautam, Arjun Subramonian, Anne Lauscher, Os Keyes
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP. CoRR (2024)
Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation. CoRR (2024)
Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. AIES (2023)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. CoRR (2023)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. ACL (Findings) (2023)
Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. CoRR (2023)
Nathan Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jessica de Jesus de Pinho Pinhal
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. AIES (2023)
Arjun Subramonian, Adina Williams, Maximilian Nickel, Yizhou Sun, Levent Sagun
Weisfeiler and Lehman Go Measurement Modeling: Probing the Validity of the WL Test. CoRR (2023)
Organizers Of Queerinai, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT (2023)
Organizers Of QueerInAI, Nathaniel Dennler, Anaelia Ovalle, Ashwin Singh, Luca Soldaini, Arjun Subramonian, Huy Tu, William Agnew, Avijit Ghosh, Kyra Yee, Irene Font Peradejordi, Zeerak Talat, Mayra Russo, Jess de Jesus de Pinho Pinhal
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms. CoRR (2023)
Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR (2023)
Arjun Subramonian, Levent Sagun, Yizhou Sun
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction. CoRR (2023)
Arjun Subramonian, Kai-Wei Chang, Yizhou Sun
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs. NeurIPS (2022)
Hetvi Jethwani, Arjun Subramonian, William Agnew, MaryLena Bleile, Sarthak Arora, Maria Ryskina, Jeffrey Xiong
Queer in AI. XRDS 28 (4) (2022)
Ashwin, William Agnew, Juan Pajaro, Arjun Subramonian
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management. CoRR (2021)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. CoRR (2021)
Arjun Subramonian
MOTIF-Driven Contrastive Learning of Graph Representations. AAAI (2021)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. EMNLP (1) (2021)
Shichang Zhang, Ziniu Hu, Arjun Subramonian, Yizhou Sun
Motif-Driven Contrastive Learning of Graph Representations. CoRR (2020)