Eleni Triantafillou

According to our database, Eleni Triantafillou authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Unlearning in Learned Databases: An Experimental Analysis.

Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou

Proc. ACM Manag. Data, February, 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, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna M. Wallach, Nicolas Papernot, Katherine Lee

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

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

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, Lisheng Sun-Hosoya, Sergio Escalera, Gintare Karolina Dziugaite, Peter Triantafillou, Isabelle Guyon

CoRR, 2024

What makes unlearning hard and what to do about it.

Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou

CoRR, 2024

Data Selection for Transfer Unlearning.

Nazanin Mohammadi Sepahvand, Vincent Dumoulin, Eleni Triantafillou, Gintare Karolina Dziugaite

CoRR, 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, Tries B. Razak, Kate E. Jones, Tom Denton

CoRR, 2024

Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy.

Jamie Hayes, Ilia Shumailov, Eleni Triantafillou, Amr Khalifa, Nicolas Papernot

CoRR, 2024

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

Towards Unbounded Machine Unlearning.

Meghdad Kurmanji, Peter Triantafillou, Eleni Triantafillou

CoRR, 2023

Towards Unbounded Machine Unlearning.

Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

In Search for a Generalizable Method for Source Free Domain Adaptation.

Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou

Proceedings of the International Conference on Machine Learning, 2023

2021

Towards Strong Generalization from Few Examples.

Eleni Triantafillou

PhD thesis, 2021

Learning a Universal Template for Few-shot Dataset Generalization.

Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin

Proceedings of the 38th International Conference on Machine Learning, 2021

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

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

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

2018

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

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Few-Shot Learning Through an Information Retrieval Lens.

Eleni Triantafillou, Richard S. Zemel, Raquel Urtasun

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Towards Generalizable Sentence Embeddings.

Eleni Triantafillou, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

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

Proceedings of the Workshop on Knowledge-based Techniques for Problem Solving and Reasoning co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016