Interactive Classification for Deep Learning Interpretation. - Ángel Alexander Cabrera; Fred Hohman; Jason Lin; Duen Horng Chau (CoRR, 2018)

FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. - Ángel Alexander Cabrera; Will Epperson; Fred Hohman; Minsuk Kahng; Jamie Morgenstern; Duen Horng Chau (VAST, 2019)

Regularizing Black-box Models for Improved Interpretability. - Gregory Plumb; Maruan Al-Shedivat; Ángel Alexander Cabrera; Adam Perer; Eric P. Xing; Ameet Talwalkar (NeurIPS, 2020)

Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance. - Hong Shen 004; Haojian Jin; Ángel Alexander Cabrera; Adam Perer; Haiyi Zhu; Jason I. Hong (Proc. ACM Hum. Comput. Interact., 2020)

Discovering and Validating AI Errors With Crowdsourced Failure Reports. - Ángel Alexander Cabrera; Abraham J. Druck; Jason I. Hong; Adam Perer (Proc. ACM Hum. Comput. Interact., 2021)

Symphony: Composing Interactive Interfaces for Machine Learning. - Alex Bäuerle; Ángel Alexander Cabrera; Fred Hohman; Megan Maher; David Koski; Xavier Suau; Titus Barik; Dominik Moritz (CHI, 2022)

"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains. - Hong Shen 004; Ángel Alexander Cabrera; Adam Perer; Jason I. Hong (CoRR, 2022)

Evaluating Systemic Error Detection Methods using Synthetic Images. - Gregory Plumb; Nari Johnson; Ángel Alexander Cabrera; Marco Túlio Ribeiro; Ameet Talwalkar (CoRR, 2022)

Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. - Ángel Alexander Cabrera; Erica Fu; Donald Bertucci; Kenneth Holstein; Ameet Talwalkar; Jason I. Hong; Adam Perer (CHI, 2023)

Supporting User Engagement in Testing, Auditing, and Contesting AI. - Wesley Hanwen Deng; Michelle S. Lam; Ángel Alexander Cabrera; Danaë Metaxa; Motahhare Eslami; Kenneth Holstein (CSCW Companion, 2023)

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms. - Nari Johnson; Ángel Alexander Cabrera; Gregory Plumb; Ameet Talwalkar (CoRR, 2023)

An In-depth Look at Gemini's Language Abilities. - Syeda Nahida Akter; Zichun Yu; Aashiq Muhamed; Tianyue Ou; Alex Bäuerle; Ángel Alexander Cabrera; Krish Dholakia; Chenyan Xiong; Graham Neubig (CoRR, 2023)

Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models. - Gregory Plumb; Nari Johnson; Ángel Alexander Cabrera; Ameet Talwalkar (Trans. Mach. Learn. Res., 2023)

What Did My AI Learn? How Data Scientists Make Sense of Model Behavior. - Ángel Alexander Cabrera; Marco Túlio Ribeiro; Bongshin Lee; Robert DeLine; Adam Perer; Steven Mark Drucker (ACM Trans. Comput. Hum. Interact., 2023)

Improving Human-AI Collaboration With Descriptions of AI Behavior. - Ángel Alexander Cabrera; Adam Perer; Jason I. Hong (Proc. ACM Hum. Comput. Interact., 2023)