Ángel Alexander Cabrera

According to our database, Ángel Alexander Cabrera authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

Improving Human-AI Collaboration With Descriptions of AI Behavior.

Ángel Alexander Cabrera, Adam Perer, Jason I. Hong

Proc. ACM Hum. Comput. Interact., April, 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., February, 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

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

Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms.

Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar

CoRR, 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

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

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

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Evaluating Systemic Error Detection Methods using Synthetic Images.

Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar

CoRR, 2022

"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains.

Hong Shen, Ángel Alexander Cabrera, Adam Perer, Jason I. Hong

CoRR, 2022

Symphony: Composing Interactive Interfaces for Machine Learning.

Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

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

2020

Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance.

Hong Shen, Haojian Jin, Ángel Alexander Cabrera, Adam Perer, Haiyi Zhu, Jason I. Hong

Proc. ACM Hum. Comput. Interact., 2020

Regularizing Black-box Models for Improved Interpretability.

Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning.

Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

2018

Interactive Classification for Deep Learning Interpretation.

Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau

CoRR, 2018