Eleni Triantafillou

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Transfer Learning

Domain Adaptation

Top Venues

Proc. ACM Manag. Data

Publications

Nazanin Mohammadi Sepahvand, Vincent Dumoulin, Eleni Triantafillou, Gintare Karolina Dziugaite
Data Selection for Transfer Unlearning. CoRR (2024)
Jamie Hayes, Ilia Shumailov, Eleni Triantafillou, Amr Khalifa, Nicolas Papernot
Inexact Unlearning Needs More Careful Evaluations to Avoid a False Sense of Privacy. CoRR (2024)
Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou
Machine Unlearning in Learned Databases: An Experimental Analysis. Proc. ACM Manag. Data 2 (1) (2024)
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
Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics. CoRR (2024)
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
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition. CoRR (2024)
Ilia Shumailov, Jamie Hayes, Eleni Triantafillou, Guillermo Ortiz-Jiménez, Nicolas Papernot, Matthew Jagielski, Itay Yona, Heidi Howard, Eugene Bagdasaryan
UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI. CoRR (2024)
Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou
What makes unlearning hard and what to do about it. CoRR (2024)
Malik Boudiaf, Tom Denton, Bart van Merrienboer, Vincent Dumoulin, Eleni Triantafillou
In Search for a Generalizable Method for Source Free Domain Adaptation. ICML (2023)
Meghdad Kurmanji, Eleni Triantafillou, Peter Triantafillou
Machine Unlearning in Learned Databases: An Experimental Analysis. CoRR (2023)
Jenny Hamer, Eleni Triantafillou, Bart van Merriënboer, Stefan Kahl, Holger Klinck, Tom Denton, Vincent Dumoulin
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics. CoRR (2023)
Malik Boudiaf, Tom Denton, Bart van Merriënboer, Vincent Dumoulin, Eleni Triantafillou
In Search for a Generalizable Method for Source Free Domain Adaptation. CoRR (2023)
Meghdad Kurmanji, Peter Triantafillou, Eleni Triantafillou
Towards Unbounded Machine Unlearning. CoRR (2023)
Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes, Eleni Triantafillou
Towards Unbounded Machine Unlearning. NeurIPS (2023)
Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
Learning a Universal Template for Few-shot Dataset Generalization. CoRR (2021)
Eleni Triantafillou, Hugo Larochelle, Richard S. Zemel, Vincent Dumoulin
Learning a Universal Template for Few-shot Dataset Generalization. ICML (2021)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Utku Evci, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. ICLR (2020)
Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel
Flexible Few-Shot Learning with Contextual Similarity. CoRR (2020)
Eleni Triantafillou, Tyler Zhu, Vincent Dumoulin, Pascal Lamblin, Kelvin Xu, Ross Goroshin, Carles Gelada, Kevin Swersky, Pierre-Antoine Manzagol, Hugo Larochelle
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples. CoRR (2019)
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
Meta-Learning for Semi-Supervised Few-Shot Classification. CoRR (2018)
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
Meta-Learning for Semi-Supervised Few-Shot Classification. ICLR (Poster) (2018)
Eleni Triantafillou, Richard S. Zemel, Raquel Urtasun
Few-Shot Learning Through an Information Retrieval Lens. NIPS (2017)
Eleni Triantafillou, Richard S. Zemel, Raquel Urtasun
Few-Shot Learning Through an Information Retrieval Lens. CoRR (2017)
Alberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith
Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces. AAAI (2017)
Eleni Triantafillou, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel
Towards Generalizable Sentence Embeddings. Rep4NLP@ACL (2016)
Alberto Camacho, Eleni Triantafillou, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith
Non-Deterministic Planning with Temporally Extended Goals: Completing the Story for Finite and Infinite LTL (Amended Version). KnowProS@IJCAI (2016)