A community-powered search of machine learning strategy space to find NMR property prediction models. - Lars A. Bratholm; Will Gerrard; Brandon M. Anderson; Shaojie Bai; Sunghwan Choi; Lam Dang; Pavel Hanchar; Addison Howard; Guillaume Huard; Sanghoon Kim; J. Zico Kolter; Risi Kondor; et al. (CoRR, 2020)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 2023)

Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models. - Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; Max Bartolo; Oana Inel; Juan Ciro; Rafael Mosquera; Addison Howard; Will Cukierski; D. Sculley; Vijay Janapa Reddi; et al. (CoRR, 2023)

Challenge design roadmap. - Hugo Jair Escalante Balderas; Isabelle Guyon; Addison Howard; Walter Reade; Sébastien Treguer (CoRR, 2024)

Position: AI Competitions Provide the Gold Standard for Empirical Rigor in GenAI Evaluation. - D. Sculley; Will Cukierski; Phil Culliton; Sohier Dane; Maggie Demkin; Ryan Holbrook; Addison Howard; Paul Mooney; Walter Reade; Megan Risdal; Nate Keating (CoRR, 2025)