[etriantafillou at google dot com]
I'm a research scientist at Google Brain, 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adaptation of deep neural networks to cope with distribution shifts, introduction of new concepts, or removal of outdated or harmful knowledge. My research falls in the areas of few-shot learning, meta-learning, domain adaptation and machine unlearning.
In Search for a Generalizable Method for Source Free Domain Adaptation
Malik Boudiaf, Tom Denton, Bart van Merriƫnboer, 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]
Towards Unbounded Machine Unlearning
Meghdad Kurmanji, Peter Triantafillou, Eleni Triantafillou. 2023. [paper].
In Search for a Generalizable Method for Source Free Domain Adaptation
Malik Boudiaf, Tom Denton, Bart van Merriƫnboer, Vincent Dumoulin*, Eleni Triantafillou*. 2023. [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]