Melissa Hall
SOFTWARE ENGINEER | MENLO PARK, UNITED STATES
Melissa Hall is a software engineer working on fairness and responsible AI. Her work focuses on the development of methodologies, processes, and tools for ensuring that AI systems are fair and unbiased. She has a B.S. in electrical and computer engineering and a B.A. in liberal arts (Plan II) from the University of Texas.
Research Areas
Melissa's Publications
December 12, 2024
COMPUTER VISION
EvalGIM: A Library for Evaluating Generative Image Models
Melissa Hall, Abhishek Charnalia, Adriana Romero Soriano, Candace Ross, Carolina Braga, Jakob Verbeek, Karen Ullrich, Maeve Ryan, Mark Ibrahim, Marton Havasi, Michal Drozdzal, Mike Rabbat, Oscar Mañas, Pietro Astolfi, Reyhane Askari, Tariq Berrada Ifriqi, Yohann Benchetrit
December 12, 2024
June 14, 2024
COMPUTER VISION
Decomposed evaluations of geographic disparities in text-to-image models
Abhishek Sureddy, Dishant Padalia, Nandhinee Periyakaruppa, Oindrila Saha, Polina Kirichenko, Melissa Hall, Adina Williams, Adriana Romero Soriano, Megan Richards
June 14, 2024
June 05, 2024
CORE MACHINE LEARNING
An Introduction to Vision-Language Modeling
Anurag Ajay, Alexander C. Li, Suzanne Petryk, Zhiqiu Lin, Anas Mahmoud, Jun Chen, Mazda Moayeri, Aishwarya Agrawal, Florian Bordes, Adrien Bardes, Arjang Talattof, Asli Celikyilmaz, Bargav Jayaraman, Candace Ross, Chuan Guo, Diane Bouchacourt, Ellen Tan, Haider Al-Tahan, Hu Xu, Jonathan Lebensold, Kamalika Chaudhuri, Karen Ullrich, Karthik Padthe, Kate Saenko, Kushal Tirumala, Mark Ibrahim, Megan Richards, Melissa Hall, Oscar Mañas, Pietro Astolfi, Quentin Garrido, Reyhane Askari, Richard Pang, Rim Assouel, Samuel Lavoie, Srihari Jayakumar, Vasu Sharma, Vikas Chandra, Xilun Chen, Yunyang Xiong, Zechun Liu
June 05, 2024
August 31, 2023
COMPUTER VISION
FACET: Fairness in Computer Vision Evaluation Benchmark
Laura Gustafson, Aaron Adcock, Candace Ross, Cheng-Yang Fu, Chloe Rolland, Melissa Hall, Nikhila Ravi, Quentin Duval
August 31, 2023
December 09, 2022
CONVERSATIONAL AI
NLP
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Eleonora Presani, Adina Williams, Eric Michael Smith, Melanie Kambadur, Melissa Hall
December 09, 2022
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