Specializations
- Natural Language Processing
- AI Ethics
- Machine Learning
Research Areas
Biography
Robert Wolfe is a Ph.D. Student at the Information School studying machine representations of semantics in language and multimodal domains.
Education
- MS, Computer Science, The George Washington University, 2021
- MA, English Literature, Georgetown University, 2014
- BA, English Literature, University of Maryland, 2012
Memberships
- Association for Computational Linguistics
- Association for Computing Machinery
Publications and Contributions
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Conference PosterLabel-Efficient Group Robustness via Out-of-Distribution Concept Curation (2024)Conference on Computer Vision and Pattern Recognition (CVPR 2024)
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Conference PaperContrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias (2023)Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, pp. 1174–1185
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Conference PaperEvaluating Biased Attitude Associations of Language Models in an Intersectional Context (2023)AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES)
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Conference PosterRegularizing Model Gradients with Concepts to Improve Robustness to Spurious Correlations (2023)Fortieth International Conference on Machine Learning Workshop on Spurious Correlations, Invariance, and Stability (ICML SCIS 2023)
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Conference PaperAmerican == White in Multimodal Language-and-Image AI (2022)AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES)
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Conference PaperContrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations (2022)60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022
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Conference PaperDetecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings (2022)16th IEEE International Conference on Semantic Computing (ICSC 2022)
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Conference PaperEvidence for Hypodescent in Visual Semantic AI (2022)ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022
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Conference PaperGender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics (2022)AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES)
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Conference PaperMarkedness in Visual Semantic AI (2022)ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022
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Conference PaperVAST: The Valence-Assessing Semantics Test for Contextualizing Language Models (2022)Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022)
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Conference PaperLow Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models (2021)Empirical Methods in Natural Language Processing (EMNLP)
Presentations
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Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations
(2022)
60th Annual Meeting of the Association for Computational Linguistics (ACL) - Dublin, Ireland