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Eleni Triantafillou
Eleni Triantafillou
Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Meta-learning for semi-supervised few-shot classification
M Ren, E Triantafillou, S Ravi, J Snell, K Swersky, JB Tenenbaum, ...
arXiv preprint arXiv:1803.00676, 2018
14962018
Meta-dataset: A dataset of datasets for learning to learn from few examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ...
arXiv preprint arXiv:1903.03096, 2019
6502019
Few-shot learning through an information retrieval lens
E Triantafillou, R Zemel, R Urtasun
Advances in neural information processing systems 30, 2017
2682017
Non-deterministic planning with temporally extended goals: LTL over finite and infinite traces
A Camacho, E Triantafillou, C Muise, J Baier, S McIlraith
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
1092017
Learning a universal template for few-shot dataset generalization
E Triantafillou, H Larochelle, R Zemel, V Dumoulin
International conference on machine learning, 10424-10433, 2021
902021
Towards unbounded machine unlearning
M Kurmanji, P Triantafillou, J Hayes, E Triantafillou
Advances in Neural Information Processing Systems 36, 2024
362024
Towards generalizable sentence embeddings
E Triantafillou, J Kiros, R Urtasun, R Zemel
Proceedings of the 1st Workshop on Representation Learning for NLP, 239-248, 2016
192016
A unifying framework for planning with LTL and regular expressions
E Triantafillou, J Baier, S McIlraith
MOCHAP@ ICAPS, 23-31, 2015
132015
In search for a generalizable method for source free domain adaptation
M Boudiaf, T Denton, B Van Merriënboer, V Dumoulin, E Triantafillou
International Conference on Machine Learning, 2914-2931, 2023
112023
Few-shot out-of-distribution detection
K Wang, P Vicol, E Triantafillou, R Zemel
ICML Workshop on Uncertainty and Robustness in Deep Learning 6 (7), 8, 2020
112020
Meta-learning for semi-supervised few-shot classification
E Triantafillou, H Larochelle, J Snell, J Tenenbaum, KJ Swersky, M Ren, ...
International Conference on Learning Representations, 2018
92018
Non-Deterministic Planning with Temporally Extended Goals: Completing the Story for Finite and Infinite LTL (Amended Version).
A Camacho, E Triantafillou, CJ Muise, JA Baier, SA McIlraith
KnowProS@ IJCAI, 2016
82016
Flexible few-shot learning with contextual similarity
M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ...
arXiv preprint arXiv:2012.05895, 1, 2020
72020
Inexact unlearning needs more careful evaluations to avoid a false sense of privacy
J Hayes, I Shumailov, E Triantafillou, A Khalifa, N Papernot
arXiv preprint arXiv:2403.01218, 2024
32024
Probing Few-Shot Generalization with Attributes
M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ...
arXiv preprint arXiv:2012.05895, 2020
3*2020
Out-of-distribution detection in few-shot classification
KC Wang, P Vicol, E Triantafillou, CC Liu, R Zemel
32019
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
J Hamer, E Triantafillou, B van Merrienboer, S Kahl, H Klinck, T Denton, ...
arXiv preprint arXiv:2312.07439, 2023
22023
Learning flexible classifiers with shot-conditional episodic (scone) training
E Triantafillou, V Dumoulin, H Larochelle, R Zemel
22020
Machine unlearning in learned databases: An experimental analysis
M Kurmanji, E Triantafillou, P Triantafillou
Proceedings of the ACM on Management of Data 2 (1), 1-26, 2024
12024
Towards Strong Generalization from Few Examples
E Triantafillou
University of Toronto (Canada), 2021
12021
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Articles 1–20