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Tolga Bolukbasi

Tolga Bolukbasi has 2 papers in our library, in 2016–2023, most of them on Bias, fairness & safety; often with Adam Tauman Kalai, Albert Webson, Ellie Pavlick.

2 papers in our library · 2016–2023

OpenAlex · h-index 15 · 44 works · 3,739 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4,441 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #1572

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢GoogleMountain View · United States2019–2023 · 13 papers🎓Boston UniversityBoston · United States2014–2019 · 7 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2022 · 2 papers🎓Massachusetts Institute of TechnologyCambridge · United States2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 1Research subjects and languages the work is about.Bias, fairness & safety · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.GloVe · 1 workWord embeddings · 1 work

 Works by year

2020s

20231 paper

2010s

20161 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016 · 2,079 citations)
    The paper asks whether widely used word embeddings carry gender stereotypes, and whether those stereotypes can be removed without losing the embeddings' usefulness.
  2. Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs (2023 · 33 citations)
    Training data attribution (TDA) tries to explain a model's behavior on a test example by identifying the training examples responsible for it.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word EmbeddingsarXiv:1607.06520Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.2016 · 2,079 citations
  2. XRAI: Better Attributions Through Regions ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetAndrei Kapishnikov et al.2019 · 200 citations
  3. The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yetIan Tenney et al.2020 · 195 citations
  4. Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training RunsarXiv:2303.08114Kelvin Guu, Albert Webson, Ellie Pavlick, et al.2023 · 33 citations

 Co-authors here

8 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 4,441 times (of the 149,439 papers whose bibliographies we read); 1,076 citing papers with a page here →.

Updated

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