Specializations

  • Natural Language Processing
  • AI Ethics
  • Machine Learning

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

  • Conference Poster
    Label-Efficient Group Robustness via Out-of-Distribution Concept Curation (2024)
    Conference on Computer Vision and Pattern Recognition (CVPR 2024) Authors: Yiwei Yang, Anthony Zhe Liu, Robert Wolfe, Aylin Caliskan, William G Howe
  • Conference Paper
    Contrastive 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 Authors: Robert Wolfe, Yiwei Yang, William G Howe, Aylin Caliskan
  • Conference Paper
    Evaluating Biased Attitude Associations of Language Models in an Intersectional Context (2023)
    AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES) Authors: Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan
  • Conference Poster
    Regularizing 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) Authors: Yiwei Yang, Anthony Zhe Liu, Robert Wolfe, Aylin Caliskan, William G Howe
  • Conference Paper
    American == White in Multimodal Language-and-Image AI (2022)
    AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES) Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations (2022)
    60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022 Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings (2022)
    16th IEEE International Conference on Semantic Computing (ICSC 2022) Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Evidence for Hypodescent in Visual Semantic AI (2022)
    ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022 Authors: Robert Wolfe, Mahzarin Bahaji, Aylin Caliskan
  • Conference Paper
    Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics (2022)
    AAAI/ACM Artificial Intelligence, Ethics, and Society (AAAI/ACM AIES) Authors: Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R Banaji
  • Conference Paper
    Markedness in Visual Semantic AI (2022)
    ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT), 2022 Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models (2022)
    Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022) Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models (2021)
    Empirical Methods in Natural Language Processing (EMNLP) Authors: Robert Wolfe , Aylin Caliskan

Presentations

  • Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations (2022)
    60th Annual Meeting of the Association for Computational Linguistics (ACL) - Dublin, Ireland