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ORCIDÁngel Alexander Cabrera
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2020 – today
- 2023
[j5]Ángel Alexander Cabrera
, Adam Perer, Jason I. Hong:
Improving Human-AI Collaboration With Descriptions of AI Behavior. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-21 (2023)- [j4]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) - [j3]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): 1-27 (2023) - [c5]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: 419:1-419:14 - [c4]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: 556-559 - [i10]Ángel Alexander Cabrera, Adam Perer, Jason I. Hong:
Improving Human-AI Collaboration With Descriptions of AI Behavior. CoRR abs/2301.06937 (2023) - [i9]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 abs/2302.04732 (2023) - [i8]Nari Johnson, Ángel Alexander Cabrera, Gregory Plumb, Ameet Talwalkar:
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms. CoRR abs/2306.08167 (2023) - [i7]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 abs/2312.11444 (2023) - 2022
- [c3]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: 210:1-210:14 - [i6]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 abs/2202.08946 (2022) - [i5]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 abs/2204.10814 (2022) - [i4]Gregory Plumb, Nari Johnson, Ángel Alexander Cabrera, Marco Túlio Ribeiro, Ameet Talwalkar:
Evaluating Systemic Error Detection Methods using Synthetic Images. CoRR abs/2207.04104 (2022) - 2021
- [j2]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): 425:1-425:22 (2021) - [i3]Ángel Alexander Cabrera, Abraham J. Druck, Jason I. Hong, Adam Perer:
Discovering and Validating AI Errors With Crowdsourced Failure Reports. CoRR abs/2109.11690 (2021) - 2020
- [j1]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): 153:1-153:22 (2020) - [c2]Gregory Plumb, Maruan Al-Shedivat, Ángel Alexander Cabrera, Adam Perer, Eric P. Xing, Ameet Talwalkar:
Regularizing Black-box Models for Improved Interpretability. NeurIPS 2020
2010 – 2019
- 2019
- [c1]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: 46-56 - [i2]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 abs/1904.05419 (2019) - 2018
- [i1]Ángel Alexander Cabrera, Fred Hohman, Jason Lin, Duen Horng Chau:
Interactive Classification for Deep Learning Interpretation. CoRR abs/1806.05660 (2018)
Coauthor Index
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