Ángel Alexander Cabrera

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 20

Top Topics

Machine Learning

Error Detection

Visual Analytics

Top Venues

Proc. ACM Hum. Comput. Interact.

ACM Trans. Comput. Hum. Interact.

Publications

Ángel Alexander Cabrera, Marco Túlio Ribeiro, Bongshin Lee, Robert DeLine, Adam Perer, Steven Mark Drucker
What Did My AI Learn? How Data Scientists Make Sense of Model Behavior. ACM Trans. Comput. Hum. Interact. 30 (1) (2023)
Wesley Hanwen Deng, Michelle S. Lam, Ángel Alexander Cabrera, Danaë Metaxa, Motahhare Eslami, Kenneth Holstein
Supporting User Engagement in Testing, Auditing, and Contesting AI. CSCW Companion (2023)
Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Ameet Talwalkar
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models. Trans. Mach. Learn. Res. 2023 (2023)
Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex Bäuerle, Ángel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig
An In-depth Look at Gemini's Language Abilities. CoRR (2023)
Ángel Alexander Cabrera, Adam Perer, Jason I. Hong
Improving Human-AI Collaboration With Descriptions of AI Behavior. CoRR (2023)
Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CoRR (2023)
Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms. CoRR (2023)
Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning. CHI (2023)
Ángel Alexander Cabrera, Adam Perer, Jason I. Hong
Improving Human-AI Collaboration With Descriptions of AI Behavior. Proc. ACM Hum. Comput. Interact. 7 (CSCW1) (2023)
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
Symphony: Composing Interactive Interfaces for Machine Learning. CoRR (2022)
Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar
Evaluating Systemic Error Detection Methods using Synthetic Images. CoRR (2022)
Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, Dominik Moritz
Symphony: Composing Interactive Interfaces for Machine Learning. CHI (2022)
Hong Shen, Ángel Alexander Cabrera, Adam Perer, Jason I. Hong
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains. CoRR (2022)
Ángel Alexander Cabrera, Abraham J. Druck, Jason I. Hong, Adam Perer
Discovering and Validating AI Errors With Crowdsourced Failure Reports. CoRR (2021)
Ángel Alexander Cabrera, Abraham J. Druck, Jason I. Hong, Adam Perer
Discovering and Validating AI Errors With Crowdsourced Failure Reports. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar
Regularizing Black-box Models for Improved Interpretability. NeurIPS (2020)
Hong Shen, Haojian Jin, Ángel Alexander Cabrera, Adam Perer, Haiyi Zhu, Jason I. Hong
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning. VAST (2019)
Ángel Alexander Cabrera, Will Epperson, Fred Hohman, Minsuk Kahng, Jamie Morgenstern, Duen Horng Chau
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning. CoRR (2019)
Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau
Interactive Classification for Deep Learning Interpretation. CoRR (2018)