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ORCIDAngelina Wang
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2020 – today
- 2024
[b1]Angelina Wang:
Operationalizing Responsible Machine Learning: From Equality Towards Equity. Princeton University, USA, 2024- [c11]Severin Engelmann
, Madiha Zahrah Choksi, Angelina Wang, Casey Fiesler:
Visions of a Discipline: Analyzing Introductory AI Courses on YouTube. FAccT 2024: 2400-2420 - [i16]Angelina Wang, Jamie Morgenstern, John P. Dickerson:
Large language models cannot replace human participants because they cannot portray identity groups. CoRR abs/2402.01908 (2024) - [i15]Xuechunzi Bai, Angelina Wang, Ilia Sucholutsky, Thomas L. Griffiths:
Measuring Implicit Bias in Explicitly Unbiased Large Language Models. CoRR abs/2402.04105 (2024) - [i14]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 abs/2402.04420 (2024) - [i13]Angelina Wang, Teresa Datta, John P. Dickerson:
Strategies for Increasing Corporate Responsible AI Prioritization. CoRR abs/2405.03855 (2024) - [i12]Severin Engelmann, Madiha Zahrah Choksi, Angelina Wang, Casey Fiesler:
Visions of a Discipline: Analyzing Introductory AI Courses on YouTube. CoRR abs/2407.13077 (2024) - 2023
- [j2]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): 205395172211453 (2023) - [c10]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: 14277-14285 - [c9]Angelina Wang, Sayash Kapoor, Solon Barocas, Arvind Narayanan:
Against Predictive Optimization: On the Legitimacy of Decision-Making Algorithms that Optimize Predictive Accuracy. FAccT 2023: 626 - [c8]Angelina Wang, Olga Russakovsky:
Overwriting Pretrained Bias with Finetuning Data. ICCV 2023: 3934-3945 - [c7]Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
Gender Artifacts in Visual Datasets. ICCV 2023: 4814-4825 - [i11]Angelina Wang, Olga Russakovsky:
Overcoming Bias in Pretrained Models by Manipulating the Finetuning Dataset. CoRR abs/2303.06167 (2023) - [i10]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 abs/2305.01776 (2023) - 2022
- [j1]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): 1790-1810 (2022) - [c6]Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach:
Measuring Representational Harms in Image Captioning. FAccT 2022: 324-335 - [c5]Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky:
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. FAccT 2022: 336-349 - [i9]Angelina Wang, Vikram V. Ramaswamy, Olga Russakovsky:
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation. CoRR abs/2205.04610 (2022) - [i8]Angelina Wang, Solon Barocas, Kristen Laird, Hanna M. Wallach:
Measuring Representational Harms in Image Captioning. CoRR abs/2206.07173 (2022) - [i7]Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky:
Gender Artifacts in Visual Datasets. CoRR abs/2206.09191 (2022) - 2021
- [c4]Dora Zhao, Angelina Wang, Olga Russakovsky:
Understanding and Evaluating Racial Biases in Image Captioning. ICCV 2021: 14810-14820 - [c3]Angelina Wang, Olga Russakovsky:
Directional Bias Amplification. ICML 2021: 10882-10893 - [i6]Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang:
The Limits of Global Inclusion in AI Development. CoRR abs/2102.01265 (2021) - [i5]Angelina Wang, Olga Russakovsky:
Directional Bias Amplification. CoRR abs/2102.12594 (2021) - [i4]Dora Zhao, Angelina Wang, Olga Russakovsky:
Understanding and Evaluating Racial Biases in Image Captioning. CoRR abs/2106.08503 (2021) - 2020
- [c2]Angelina Wang, Arvind Narayanan, Olga Russakovsky:
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets. ECCV (3) 2020: 733-751 - [i3]Angelina Wang, Arvind Narayanan, Olga Russakovsky:
ViBE: A Tool for Measuring and Mitigating Bias in Image Datasets. CoRR abs/2004.07999 (2020)
2010 – 2019
- 2019
- [c1]Angelina Wang, Thanard Kurutach, Pieter Abbeel, Aviv Tamar:
Learning Robotic Manipulation through Visual Planning and Acting. Robotics: Science and Systems 2019 - [i2]Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar:
Learning Robotic Manipulation through Visual Planning and Acting. CoRR abs/1905.04411 (2019) - 2017
- [i1]William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel:
Safer Classification by Synthesis. CoRR abs/1711.08534 (2017)
Coauthor Index
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