Megan Richards

11 papers A* 2Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
MIST: Mutual Information Via Supervised Training.
CoRR
German Gritsai, Megan Richards, Maxime Méloux, Kyunghyun Cho, Maxime Peyrard
2025 — conf
On the Role of Speech Data in Reducing Toxicity Detection Bias.
NAACL (Long Papers)
Samuel J. Bell, Mariano Coria Meglioli, Megan Richards, Eduardo Sánchez, Christophe Ropers, Skyler Wang, Adina Williams, Levent Sagun, Marta R. Costa-jussà
2024 J jnl
An Introduction to Vision-Language Modeling.
CoRR
Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
2024 J jnl
Decomposed evaluations of geographic disparities in text-to-image models.
CoRR
Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall
2024 A* conf
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
ICLR
Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim
2024 J jnl
On the Role of Speech Data in Reducing Toxicity Detection Bias.
CoRR
Samuel J. Bell, Mariano Coria Meglioli, Megan Richards, Eduardo Sánchez, Christophe Ropers, Skyler Wang, Adina Williams, Levent Sagun, Marta R. Costa-jussà
2023 J jnl
Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
CoRR
Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim
2023 A* conf
Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations.
NeurIPS
Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
2023 J jnl
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies.
CoRR
Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
2022 — conf
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare.
MLHC
Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu
2022 J jnl
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare.
CoRR
Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu