Non-Deterministic Planning with Temporally Extended Goals: Completing the Story for Finite and Infinite LTL (Amended Version). - Alberto Camacho; Eleni Triantafillou; Christian J. Muise; Jorge A. Baier; Sheila A. McIlraith (KnowProS@IJCAI, 2016)

Towards Generalizable Sentence Embeddings. - Eleni Triantafillou; Jamie Ryan Kiros; Raquel Urtasun; Richard S. Zemel (Rep4NLP@ACL, 2016)

Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces. - Alberto Camacho; Eleni Triantafillou; Christian J. Muise; Jorge A. Baier; Sheila A. McIlraith (AAAI, 2017)

Few-Shot Learning Through an Information Retrieval Lens. - Eleni Triantafillou; Richard S. Zemel; Raquel Urtasun (NIPS, 2017)

Meta-Learning for Semi-Supervised Few-Shot Classification. - Mengye Ren; Eleni Triantafillou; Sachin Ravi; Jake Snell; Kevin Swersky; Joshua B. Tenenbaum; Hugo Larochelle; Richard S. Zemel (ICLR (Poster), 2018)

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 (CoRR, 2019)

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. - Eleni Triantafillou; Tyler Zhu; Vincent Dumoulin; Pascal Lamblin; Utku Evci; Kelvin Xu; Ross Goroshin; Carles Gelada; Kevin Swersky; Pierre-Antoine Manzagol; Hugo Larochelle (ICLR, 2020)

Flexible Few-Shot Learning with Contextual Similarity. - Mengye Ren; Eleni Triantafillou; Kuan-Chieh Wang; James Lucas; Jake Snell; Xaq Pitkow; Andreas S. Tolias; Richard S. Zemel (CoRR, 2020)

Learning a Universal Template for Few-shot Dataset Generalization. - Eleni Triantafillou; Hugo Larochelle; Richard S. Zemel; Vincent Dumoulin (ICML, 2021)

Towards Strong Generalization from Few Examples. - Eleni Triantafillou (2021)

In Search for a Generalizable Method for Source Free Domain Adaptation. - Malik Boudiaf; Tom Denton; Bart van Merrienboer; Vincent Dumoulin; Eleni Triantafillou (ICML, 2023)

Towards Unbounded Machine Unlearning. - Meghdad Kurmanji; Peter Triantafillou; Jamie Hayes; Eleni Triantafillou (NeurIPS, 2023)

Towards Unbounded Machine Unlearning. - Meghdad Kurmanji; Peter Triantafillou; Eleni Triantafillou (CoRR, 2023)

BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics. - Jenny Hamer; Eleni Triantafillou; Bart van Merriënboer; Stefan Kahl; Holger Klinck; Tom Denton; Vincent Dumoulin (CoRR, 2023)

What makes unlearning hard and what to do about it. - Kairan Zhao; Meghdad Kurmanji; George-Octavian Barbulescu; Eleni Triantafillou; Peter Triantafillou (NeurIPS, 2024)

Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics. - Ben Williams; Bart van Merriënboer; Vincent Dumoulin; Jenny Hamer; Eleni Triantafillou; Abram B. Fleishman; Matthew McKown; Jill E. Munger; Aaron N. Rice; Ashlee Lillis; Clemency E. White; Catherine A. D. Hobbs; et al. (CoRR, 2024)

Data Selection for Transfer Unlearning. - Nazanin Mohammadi Sepahvand; Vincent Dumoulin; Eleni Triantafillou; Gintare Karolina Dziugaite (CoRR, 2024)

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; Júlio C. S. Jacques Júnior; Ioannis Mitliagkas; Jun Wan 001; Lisheng Sun-Hosoya; Sergio Escalera; et al. (CoRR, 2024)

UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. - Ilia Shumailov; Jamie Hayes; Eleni Triantafillou; Guillermo Ortiz-Jiménez; Nicolas Papernot; Matthew Jagielski; Itay Yona; Heidi Howard; Eugene Bagdasaryan (CoRR, 2024)

Improved Localized Machine Unlearning Through the Lens of Memorization. - Reihaneh Torkzadehmahani; Reza Nasirigerdeh; Georgios Kaissis; Daniel Rueckert; Gintare Karolina Dziugaite; Eleni Triantafillou (CoRR, 2024)

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. - A. Feder Cooper; Christopher A. Choquette-Choo; Miranda Bogen; Matthew Jagielski; Katja Filippova; Ken Ziyu Liu; Alexandra Chouldechova; Jamie Hayes; Yangsibo Huang; Niloofar Mireshghallah; Ilia Shumailov; Eleni Triantafillou; et al. (CoRR, 2024)

Machine Unlearning in Learned Databases: An Experimental Analysis. - Meghdad Kurmanji; Eleni Triantafillou; Peter Triantafillou (Proc. ACM Manag. Data, 2024)

Selective Unlearning via Representation Erasure Using Domain Adversarial Training. - Nazanin Mohammadi Sepahvand; Eleni Triantafillou; Hugo Larochelle; Doina Precup; James J. Clark; Daniel M. Roy 001; Gintare Karolina Dziugaite (ICLR, 2025)

Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy. - Jamie Hayes; Ilia Shumailov; Eleni Triantafillou; Amr Khalifa; Nicolas Papernot (SaTML, 2025)

Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data. - Stefan Schoepf; Michael Curtis Mozer; Nicole Mitchell; Alexandra Brintrup; Georgios Kaissis; Peter Kairouz; Eleni Triantafillou (CoRR, 2025)

Leveraging Per-Instance Privacy for Machine Unlearning. - Nazanin Mohammadi Sepahvand; Anvith Thudi; Berivan Isik; Ashmita Bhattacharyya; Nicolas Papernot; Eleni Triantafillou; Daniel M. Roy 001; Gintare Karolina Dziugaite (CoRR, 2025)

From Dormant to Deleted: Tamper-Resistant Unlearning Through Weight-Space Regularization. - Shoaib Ahmed Siddiqui; Adrian Weller; David Krueger 001; Gintare Karolina Dziugaite; Michael Curtis Mozer; Eleni Triantafillou (CoRR, 2025)