Angelina Wang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Machine Learning

Top Venues

Publications

Severin Engelmann, Madiha Zahrah Choksi, Angelina Wang, Casey Fiesler
Visions of a Discipline: Analyzing Introductory AI Courses on YouTube. CoRR (2024)
Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths
Measuring Implicit Bias in Explicitly Unbiased Large Language Models. CoRR (2024)
Angelina Wang, Teresa Datta, John P. Dickerson
Strategies for Increasing Corporate Responsible AI Prioritization. CoRR (2024)
Severin Engelmann, Madiha Zahrah Choksi, Angelina Wang, Casey Fiesler
Visions of a Discipline: Analyzing Introductory AI Courses on YouTube. FAccT (2024)
Angelina Wang, Xuechunzi Bai, Solon Barocas, Su Lin Blodgett
Measuring machine learning harms from stereotypes: requires understanding who is being harmed by which errors in what ways. CoRR (2024)
Angelina Wang, Jamie Morgenstern, John P. Dickerson
Large language models cannot replace human participants because they cannot portray identity groups. CoRR (2024)
Angelina Wang, Olga Russakovsky
Overwriting Pretrained Bias with Finetuning Data. ICCV (2023)
Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. AAAI (2023)
Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
Gender Artifacts in Visual Datasets. ICCV (2023)
Jared Katzman, Angelina Wang, Morgan Klaus Scheuerman, Su Lin Blodgett, Kristen Laird, Hanna M. Wallach, Solon Barocas
Taxonomizing and Measuring Representational Harms: A Look at Image Tagging. CoRR (2023)
Angelina Wang, Olga Russakovsky
Overcoming Bias in Pretrained Models by Manipulating the Finetuning Dataset. CoRR (2023)
Arunesh Mathur, Angelina Wang, Carsten Schwemmer, Maia Hamin, Brandon M. Stewart, Arvind Narayanan
Manipulative tactics are the norm in political emails: Evidence from 300K emails from the 2020 US election cycle. Big Data Soc. 10 (1) (2023)
Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. FAccT (2023)
Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. CoRR (2022)
Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach
Measuring Representational Harms in Image Captioning. CoRR (2022)
Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. FAccT (2022)
Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, Olga Russakovsky
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. Int. J. Comput. Vis. 130 (7) (2022)
Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky
Gender Artifacts in Visual Datasets. CoRR (2022)
Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach
Measuring Representational Harms in Image Captioning. FAccT (2022)
Angelina Wang, Olga Russakovsky
Directional Bias Amplification. ICML (2021)
Angelina Wang, Olga Russakovsky
Directional Bias Amplification. CoRR (2021)
Dora Zhao, Angelina Wang, Olga Russakovsky
Understanding and Evaluating Racial Biases in Image Captioning. CoRR (2021)
Dora Zhao, Angelina Wang, Olga Russakovsky
Understanding and Evaluating Racial Biases in Image Captioning. ICCV (2021)
Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang
The Limits of Global Inclusion in AI Development. CoRR (2021)
Angelina Wang, Arvind Narayanan, Olga Russakovsky
ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets. CoRR (2020)
Angelina Wang, Arvind Narayanan, Olga Russakovsky
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. ECCV (3) (2020)
Angelina Wang, Thanard Kurutach, Pieter Abbeel, Aviv Tamar
Learning Robotic Manipulation through Visual Planning and Acting. Robotics: Science and Systems (2019)
Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar
Learning Robotic Manipulation through Visual Planning and Acting. CoRR (2019)
William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel
Safer Classification by Synthesis. CoRR (2017)