Harini Suresh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 32

Top Topics

Uncertainty Sampling

Inductive Transfer

Caenorhabditis Elegans

Top Venues

Publications

Harini Suresh, Emily Tseng, Meg Young, Mary Gray, Emma Pierson, Karen Levy
Participation in the age of foundation models. FAccT (2024)
Harini Suresh, Emily Tseng, Meg Young, Mary Gray, Emma Pierson, Karen Levy
Participation in the age of foundation models. CoRR (2024)
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
Use large language models to promote equity. CoRR (2023)
Angie Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
Saliency Cards: A Framework to Characterize and Compare Saliency Methods. FAccT (2023)
Harini Suresh, Divya Shanmugam, Tiffany Chen, Annie G. Bryan, Alexander D'Amour, John V. Guttag, Arvind Satyanarayan
Kaleidoscope: Semantically-grounded, context-specific ML model evaluation. CHI (2023)
Helen Lu, Divya Shanmugam, Harini Suresh, John V. Guttag
Improved Text Classification via Test-Time Augmentation. CoRR (2022)
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
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23 (2022)
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. IUI (2022)
Catherine D'Ignazio, Isadora Cruxên, Helena Suárez Val, Angeles Martinez Cuba, Mariel García-Montes, Silvana Fumega, Harini Suresh, Wonyoung So
Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence. Patterns 3 (7) (2022)
Harini Suresh, Rajiv Movva, Amelia Lee Dogan, Rahul Bhargava, Isadora Cruxen, Angeles Martinez Cuba, Guilia Taurino, Wonyoung So, Catherine D'Ignazio
Towards Intersectional Feminist and Participatory ML: A Case Study in Supporting Feminicide Counterdata Collection. FAccT (2022)
Angie Boggust, Harini Suresh, Hendrik Strobelt, John V. Guttag, Arvind Satyanarayan
Beyond Faithfulness: A Framework to Characterize and Compare Saliency Methods. CoRR (2022)
William Boag, Harini Suresh, Bianca Lepe, Catherine D'Ignazio
Tech Worker Organizing for Power and Accountability. FAccT (2022)
Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs. CHI (2021)
Harini Suresh, John V. Guttag
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle. EAAMO (2021)
Harini Suresh, Kathleen M. Lewis, John V. Guttag, Arvind Satyanarayan
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs. CoRR (2021)
Harini Suresh, Steven R. Gomez, Kevin K. Nam, Arvind Satyanarayan
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs. CoRR (2021)
Susanne Gaube, Harini Suresh, Martina Raue, Alexander Merritt, Seth J. Berkowitz, Eva Lermer, Joseph F. Coughlin, John V. Guttag, Errol Colak, Marzyeh Ghassemi
Do as AI say: susceptibility in deployment of clinical decision-aids. npj Digit. Medicine 4 (2021)
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
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR (2020)
Harini Suresh, Natalie Lao, Ilaria Liccardi
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making. CoRR (2020)
Harini Suresh, Natalie Lao, Ilaria Liccardi
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making. WebSci (2020)
Harini Suresh, John V. Guttag
A Framework for Understanding Unintended Consequences of Machine Learning. CoRR (2019)
Ava P. Soleimany, Harini Suresh, Jose Javier Gonzalez Ortiz, Divya Shanmugam, Nil Gural, John V. Guttag, Sangeeta N. Bhatia
Image segmentation of liver stage malaria infection with spatial uncertainty sampling. CoRR (2019)
Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Racial Disparities and Mistrust in End-of-Life Care. MLHC (2018)
Filipe Betzel, S. Karen Khatamifard, Harini Suresh, David J. Lilja, John Sartori, Ulya R. Karpuzcu
Approximate Communication: Techniques for Reducing Communication Bottlenecks in Large-Scale Parallel Systems. ACM Comput. Surv. 51 (1) (2018)
Matthew B. A. McDermott, Tom Yan, Tristan Naumann, Nathan Hunt, Harini Suresh, Peter Szolovits, Marzyeh Ghassemi
Semi-Supervised Biomedical Translation With Cycle Wasserstein Regression GANs. AAAI (2018)
Harini Suresh, Jen J. Gong, John V. Guttag
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. CoRR (2018)
Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Modeling Mistrust in End-of-Life Care. CoRR (2018)
Harini Suresh, Jen J. Gong, John V. Guttag
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU. KDD (2018)
Harini Suresh, Shashank Hegde, John Sartori
Approximate compression: enhancing compressibility through data approximation. ESTIMedia (2017)
Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Clinical Intervention Prediction and Understanding using Deep Networks. CoRR (2017)
Harini Suresh, Peter Szolovits, Marzyeh Ghassemi
The Use of Autoencoders for Discovering Patient Phenotypes. CoRR (2017)
Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Clinical Intervention Prediction and Understanding with Deep Neural Networks. MLHC (2017)
Harini Suresh, Nicholas Locascio
Autodetection and Classification of Hidden Cultural City Districts from Yelp Reviews. CoRR (2015)