Harini Suresh - RankMe

42 papers A* 5A 1Journal 24Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Audit Trails for Accountability in Large Language Models. CoRR Victor Ojewale, Harini Suresh, Suresh Venkatasubramanian
2026	J	`jnl`	How to Stop Playing Whack-a-Mole: Mapping the Ecosystem of Technologies Facilitating AI-Generated Non-Consensual Intimate Images. CoRR Michelle L. Ding, Harini Suresh, Suresh Venkatasubramanian
2026	A*	`conf`	Reimagining Data Work: Participatory Annotation Workshops as Feminist Practice. CHI Yujia Gao, Isadora Araujo Cruxên, Helena Suárez Val, Alessandra Jungs de Almeida, Catherine D'Ignazio, Harini Suresh
2026	J	`jnl`	Reimagining Data Work: Participatory Annotation Workshops as Feminist Practice. CoRR Yujia Gao, Isadora Cruxên, Helena Suárez Val, Alessandra Jungs de Almeida, Catherine D'Ignazio, Harini Suresh
2025	—	`conf`	"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalism. FAccT Emily Tseng, Meg Young, Marianne Aubin Le Quéré, Aimee Rinehart, Harini Suresh
2025	J	`jnl`	"Ownership, Not Just Happy Talk": Co-Designing a Participatory Large Language Model for Journalism. CoRR Emily Tseng, Meg Young, Marianne Aubin Le Quéré, Aimee Rinehart, Harini Suresh
2025	—	`conf`	Sociotechnical AI Governance: Challenges and Opportunities for HCI. CHI Extended Abstracts K. J. Kevin Feng, Rock Yuren Pang, Tzu-Sheng Kuo, Amy A. Winecoff, Emily Tseng, David Gray Widder, Harini Suresh, Katharina Reinecke, Amy X. Zhang
2025	J	`jnl`	The Malicious Technical Ecosystem: Exposing Limitations in Technical Governance of AI-Generated Non-Consensual Intimate Images of Adults. CoRR Michelle L. Ding, Harini Suresh
2024	—	`conf`	Participation in the age of foundation models. FAccT Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy
2024	J	`jnl`	Participation in the age of foundation models. CoRR Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy
2023	—	`—`	Context and Participation in Machine Learning Harini Suresh
2023	A*	`conf`	Kaleidoscope: Semantically-grounded, context-specific ML model evaluation. CHI Harini Suresh, Divya Shanmugam, Tiffany L. Chen, Annie G. Bryan, Alexander D'Amour, John V. Guttag, Arvind Satyanarayan
2023	—	`conf`	Saliency Cards: A Framework to Characterize and Compare Saliency Methods. FAccT Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
2023	J	`jnl`	Use large language models to promote equity. CoRR Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa
2022	J	`jnl`	Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. CoRR Angie W. Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
2022	J	`jnl`	Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence. Patterns Catherine D'Ignazio, Isadora Cruxên, Helena Suárez Val, Angeles Martinez Cuba, Mariel García-Montes, Silvana Fumega, Harini Suresh, Wonyoung So
2022	J	`jnl`	Improved Text Classification via Test-Time Augmentation. CoRR Helen Lu, Divya Shanmugam, Harini Suresh, John V. Guttag
2022	A	`conf`	Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. IUI Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
2022	—	`conf`	Tech Worker Organizing for Power and Accountability. FAccT William Boag, Harini Suresh, Bianca Lepe, Catherine D'Ignazio
2022	—	`conf`	Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection. FAccT Harini Suresh, Rajiv Movva, Amelia Lee Dogan, Rahul Bhargava, Isadora Cruxen, Angeles Martinez Cuba, Guilia Taurino, Wonyoung So, Catherine D'Ignazio
2022	J	`jnl`	Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2021	—	`conf`	A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. EAAMO Harini Suresh, John V. Guttag
2021	A*	`conf`	Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs. CHI Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan
2021	J	`jnl`	Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs. CoRR Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan
2021	J	`jnl`	Do as AI say: susceptibility in deployment of clinical decision-aids. npj Digit. Medicine Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi
2021	J	`jnl`	Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. CoRR Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
2020	—	`conf`	Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making. WebSci Harini Suresh, Natalie Lao, Ilaria Liccardi
2020	J	`jnl`	Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making. CoRR Harini Suresh, Natalie Lao, Ilaria Liccardi
2020	J	`jnl`	Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2019	J	`jnl`	A Framework for Understanding Unintended Consequences of Machine Learning. CoRR Harini Suresh, John V. Guttag
2019	J	`jnl`	Image segmentation of liver stage malaria infection with spatial uncertainty sampling. CoRR Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia
2018	J	`jnl`	Approximate Communication: Techniques for Reducing Communication Bottlenecks in Large-Scale Parallel Systems. ACM Comput. Surv. Filipe Betzel, S. Karen Khatamifard, Harini Suresh, David J. Lilja, John Sartori, Ulya R. Karpuzcu
2018	A*	`conf`	Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. KDD Harini Suresh, Jen J. Gong, John V. Guttag
2018	J	`jnl`	Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. CoRR Harini Suresh, Jen J. Gong, John V. Guttag
2018	J	`jnl`	Modeling Mistrust in End-of-Life Care. CoRR Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
2018	—	`conf`	Racial Disparities and Mistrust in End-of-Life Care. MLHC Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
2018	A*	`conf`	Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs. AAAI Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi
2017	—	`conf`	Approximate compression: enhancing compressibility through data approximation. ESTIMedia Harini Suresh, Shashank Hegde, John Sartori
2017	J	`jnl`	Clinical Intervention Prediction and Understanding using Deep Networks. CoRR Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
2017	—	`conf`	Clinical Intervention Prediction and Understanding with Deep Neural Networks. MLHC Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
2017	J	`jnl`	The Use of Autoencoders for Discovering Patient Phenotypes. CoRR Harini Suresh, Peter Szolovits, Marzyeh Ghassemi
2015	J	`jnl`	Autodetection and Classification of Hidden Cultural City Districts from Yelp Reviews. CoRR Harini Suresh, Nicholas Locascio