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Eleni Triantafillou

Senior Research Scientist at Google DeepMind.
PhD from the University of Toronto (2021), advised by Raquel Urtasun and Richard Zemel

[etriantafillou at google dot com]

CV (last updated 2021)

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News

  • I gave a keynote at CoLLAs'24 titled "Are we making progress in machine unlearning?" [slides].
  • The recording and slides of our CVPR'24 tutorial on unlearning are now available here.
  • We released a preprint describing the metric and findings from the first NeurIPS unlearning competition.
  • I co-led the organization of the first NeurIPS competition on unlearning [website], hosted at NeurIPS'23.
  • The recording of my NeurIPS 2022 tutorial about the role of meta-learning in few-shot learning is now available.
  • I am co-organizing the NeurIPS 2022 workshop on meta-learning.
  • I gave an invited talk at the NeurIPS 2021 workshop on meta-learning.
  • I defended my PhD thesis in the summer of 2021 and have started working as a Research Scientist in Google Brain, based in London UK.

    • About me

    I'm a senior research scientist at Google DeepMind, based in London UK. My main research interest is around creating methods that allow efficient and effective adaptation of deep neural networks to cope with distribution shifts, rapidly learning new tasks, and supporting efficient unlearning of data points. My research falls in the areas of few-shot learning, meta-learning, domain adaptation and machine unlearning.

    In my free time, I enjoy food blogging, dance (especially hip hop and commercial), piano playing, singing and song writing.

    Conference publications


    What makes unlearning hard and what to do about it
    Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou*, Peter Triantafillou*. NeurIPS 2024. [paper].


    Machine Unlearning in Learned Databases: An Experimental Analysis
    Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou. SIGMOD 2024. [paper].


    Towards Unbounded Machine Unlearning
    Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou. NeurIPS 2023. [paper].


    In Search for a Generalizable Method for Source Free Domain Adaptation
    Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin*, Eleni Triantafillou*. ICML 2023. [paper].


    Learning a Universal Template for Few-shot Dataset Generalization.
    Eleni Triantafillou, Hugo Larochelle, Richard Zemel, Vincent Dumoulin. ICML 2021. [paper].


    Meta-dataset: A dataset of datasets for learning to learn from few examples.
    Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle. ICLR 2020. [paper].


    Meta Learning for Semi-Supervised Few-Shot Classification.
    Mengye Ren, Eleni Triantafillou*, Sachin Ravi*, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard Zemel. ICLR 2018. [paper]


    Few-Shot Learning Through an Information Retrieval Lens.
    Eleni Triantafillou, Richard Zemel and Raquel Urtasun. NeurIPS 2017. [paper]


    Non-Deterministic Planning with Temporally Extended Goals: LTL over finite and infinite traces.
    Alberto Camacho, Eleni Triantafillou, Christian Muise, Jorge Baier, and Sheila McIlraith. AAAI, 2017. [paper]

    Workshop papers and preprints


    Improved Localized Unlearning through the Lens of Memorization
    Reihaneh Torkzadehmahani, Reza Nasirigerdeh, Georgios Kaissis, Daniel Rueckert, Gintare Karolina Dziugaite, Eleni Triantafillou. 2024. [paper].


    Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition.
    Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa, Jamie Hayes, Meghdad Kurmanji, Kairan Zhao, Vincent Dumoulin, Julio Jacques Junior, Ioannis Mitliagkas, Jun Wan, Lisheng Sun Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon. 2024. [paper].


    Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy
    Jamie Hayes, Ilia Shumailov, Eleni Triantafillou, Amr Khalifa and Nicolas Papernot. 2024. [paper].


    Data Selection for Transfer Unlearning
    Nazanin Mohammadi Sepahvand, Vincent Dumoulin, Eleni Triantafillou*, Gintare Karolina Dziugaite∗. 2024. [paper].


    Flexible Few-Shot Learning with Contextual Similarity.
    Mengye Ren*, Eleni Triantafillou*, Kuan-Chieh Wang*, James Lucas*, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard Zemel. 2020. [paper].


    Learning Flexible Classifiers with Shot-CONditional Episodic (SCONE) Training.
    Eleni Triantafillou, Vincent Dumoulin, Hugo Larochelle, Richard Zemel. Meta-Learning workshop at NeurIPS 2020. [paper].


    Few-shot Out-of-Distribution Detection.
    Kuan-Chieh Wang, Paul Vicol, Eleni Triantafillou, Richard Zemel. UDL workshop at ICML 2020 (spotlight). [paper].


    Few-shot Learning for Free by Modelling Global Class Structure.
    Xuechen Li*, Will Grathwohl*, Eleni Triantafillou*, David Duvenaud, Richard Zemel. Meta-learning workshop at NeurIPS 2018. [paper].


    Towards Generalizable Sentence Embeddings
    Eleni Triantafillou, Jamie Ryan Kiros, Raquel Urtasun, Richard Zemel.
    1st Workshop on Representation Learning for NLP at ACL 2016. [paper]


    A Unifying Framework for Planning with LTL and Regular Expressions
    Eleni Triantafillou, Jorge A. Baier, Sheila A. McIlraith.
    MOCHAP workshop at ICAPS 2015. [paper]

    Community Service

    • Action Editor for TMLR.
    • Area chair for AutoML 2022 and 2023.
    • Reviewer for NeurIPS: 2018 (top 10%), 2019, 2020 (top 10%), 2021 (top 8%), 2022.
    • Reviewer for ICML: 2019 (top 5%), 2020, 2021 (expert reviewer), 2022.
    • Reviewer for ICLR: 2019, 2020, 2021 (outstanding reviewer), 2022, 2023
    • Reviewer for CVPR: 2021
    • Reviewer for UAI: 2018
    • Reviewer for IROS: 2021
    • Reviewer for TMLR: 2022 onwards
    • Program committee member for workshops: S2D-OLAD at ICLR 2021, Meta-Learning at NeurIPS: 2020 (senior reviewer), 2018 and 2017, AMTL at ICML 2019, LLD at ICLR 2019, LLD at NeurIPS 2017, WiML at NeurIPS 2017, WiCV at CVPR 2018 and 2021