Fairness On The Ground: Applying Algorithmic Fairness Approaches to Production Systems. - Chloé Bakalar; Renata Barreto; Stevie Bergman; Miranda Bogen; Bobbie Chern; Sam Corbett-Davies; Melissa Hall; Isabel Kloumann; Michelle S. Lam; Joaquin Quiñonero Candela; Manish Raghavan; Joshua Simons; et al. (CoRR, 2021)

"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset. - Eric Michael Smith; Melissa Hall; Melanie Kambadur; Eleonora Presani; Adina Williams (EMNLP, 2022)

A Systematic Study of Bias Amplification. - Melissa Hall; Laurens van der Maaten; Laura Gustafson; Aaron Adcock (CoRR, 2022)

Understanding out-of-distribution accuracies through quantifying difficulty of test samples. - Berfin Simsek; Melissa Hall; Levent Sagun (CoRR, 2022)

"I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset. - Eric Michael Smith; Melissa Hall; Melanie Kambadur; Eleonora Presani; Adina Williams (CoRR, 2022)

FACET: Fairness in Computer Vision Evaluation Benchmark. - Laura Gustafson; Chloé Rolland; Nikhila Ravi; Quentin Duval; Aaron Adcock; Cheng-Yang Fu; Melissa Hall; Candace Ross (ICCV, 2023)

Vision-Language Models Performing Zero-Shot Tasks Exhibit Disparities Between Gender Groups. - Melissa Hall; Laura Gustafson; Aaron Adcock; Ishan Misra; Candace Ross (ICCV (Workshops), 2023)

Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics. - Julius Adebayo; Melissa Hall; Bowen Yu; Bobbie Chern (ICLR, 2023)

VPA: Fully Test-Time Visual Prompt Adaptation. - Jiachen Sun; Mark Ibrahim; Melissa Hall; Ivan Evtimov; Z. Morley Mao; Cristian Canton-Ferrer; Caner Hazirbas (ACM Multimedia, 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 (NeurIPS, 2023)

Vision-Language Models Performing Zero-Shot Tasks Exhibit Gender-based Disparities. - Melissa Hall; Laura Gustafson; Aaron Adcock; Ishan Misra; Candace Ross (CoRR, 2023)

Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers. - Melissa Hall; Bobbie Chern; Laura Gustafson; Denisse Ventura; Harshad Kulkarni; Candace Ross; Nicolas Usunier (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)

Improving Geo-Diversity of Generated Images with Contextualized Vendi Score Guidance. - Reyhane Askari Hemmat; Melissa Hall; Alicia Sun; Candace Ross; Michal Drozdzal; Adriana Romero-Soriano (ECCV (87), 2024)

Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. - Melissa Hall; Samuel J. Bell; Candace Ross; Adina Williams; Michal Drozdzal; Adriana Romero-Soriano (FAccT, 2024)

On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada Ifriqi; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (NeurIPS, 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 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Consistency-diversity-realism Pareto fronts of conditional image generative models. - Pietro Astolfi; Marlène Careil; Melissa Hall; Oscar Mañas; Matthew J. Muckley; Jakob Verbeek; Adriana Romero-Soriano; Michal Drozdzal (CoRR, 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)

On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models. - Tariq Berrada; Pietro Astolfi; Melissa Hall; Reyhane Askari Hemmat; Yohann Benchetrit; Marton Havasi; Matthew J. Muckley; Karteek Alahari; Adriana Romero-Soriano; Jakob Verbeek; Michal Drozdzal (CoRR, 2024)

EvalGIM: A Library for Evaluating Generative Image Models. - Melissa Hall; Oscar Mañas; Reyhane Askari Hemmat; Mark Ibrahim; Candace Ross; Pietro Astolfi; Tariq Berrada Ifriqi; Marton Havasi; Yohann Benchetrit; Karen Ullrich; Carolina Braga; Abhishek Charnalia; et al. (CoRR, 2024)

What makes a good metric? Evaluating automatic metrics for text-to-image consistency. - Candace Ross; Melissa Hall; Adriana Romero-Soriano; Adina Williams (CoRR, 2024)

DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity. - Melissa Hall; Candace Ross; Adina Williams; Nicolas Carion; Michal Drozdzal; Adriana Romero-Soriano (Trans. Mach. Learn. Res., 2024)

Improving Text-to-Image Consistency via Automatic Prompt Optimization. - Oscar Mañas; Pietro Astolfi; Melissa Hall; Candace Ross; Jack Urbanek; Adina Williams; Aishwarya Agrawal; Adriana Romero-Soriano; Michal Drozdzal (Trans. Mach. Learn. Res., 2024)

Boosting Latent Diffusion with Perceptual Objectives. - Tariq Berrada; Pietro Astolfi; Melissa Hall; Marton Havasi; Yohann Benchetrit; Adriana Romero-Soriano; Karteek Alahari; Michal Drozdzal; Jakob Verbeek (ICLR, 2025)

Improving the Scaling Laws of Synthetic Data with Deliberate Practice. - Reyhane Askari Hemmat; Mohammad Pezeshki; Elvis Dohmatob; Florian Bordes; Pietro Astolfi; Melissa Hall; Jakob Verbeek; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

Multi-Modal Language Models as Text-to-Image Model Evaluators. - Jiahui Chen; Candace Ross; Reyhane Askari Hemmat; Koustuv Sinha; Melissa Hall; Michal Drozdzal; Adriana Romero-Soriano (CoRR, 2025)

DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models. - Revant Teotia; Candace Ross; Karen Ullrich; Sumit Chopra; Adriana Romero-Soriano; Melissa Hall; Matthew J. Muckley (CoRR, 2025)

Increasing the Utility of Synthetic Images through Chamfer Guidance. - Nicola Dall'Asen; Xiaofeng Zhang; Reyhane Askari Hemmat; Melissa Hall; Jakob Verbeek; Adriana Romero-Soriano; Michal Drozdzal (CoRR, 2025)