Update (October 2021): I recently defended my PhD thesis and have started working as a Research Scientist at Google Brain, based in London UK.My research is centered around the pursuit of intelligent systems that are flexible and adaptable. I'm currently excited about:
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]
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]