Megan Richards

According to our database, Megan Richards authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

MIST: Mutual Information Estimation via Supervised Training.

German Gritsai, Megan Richards, Maxime Méloux, Kyunghyun Cho, Maxime Peyrard

Trans. Mach. Learn. Res., 2026

2025

MIST: Mutual Information Via Supervised Training.

German Gritsai, Megan Richards, Maxime Méloux, Kyunghyun Cho, Maxime Peyrard

CoRR, November, 2025

On the Role of Speech Data in Reducing Toxicity Detection Bias.

Samuel J. Bell, Mariano Coria Meglioli, Megan Richards, Eduardo Sánchez, Christophe Ropers, Skyler Wang, Adina Williams, Levent Sagun, Marta R. Costa-jussà

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Decomposed evaluations of geographic disparities in text-to-image models.

Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Adina Williams, Adriana Romero-Soriano, Megan Richards, Polina Kirichenko, Melissa Hall

CoRR, 2024

An Introduction to Vision-Language Modeling.

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

CoRR, 2024

Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?

Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?

Megan Richards, Polina Kirichenko, Diane Bouchacourt, Mark Ibrahim

CoRR, 2023

Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies.

Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim

CoRR, 2023

Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations.

Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare.

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

Proceedings of the Machine Learning for Healthcare Conference, 2022