Ángel Alexander Cabrera

20 papers A* 3Journal 15Unranked 2

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