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Eleni Triantafillou
Eleni Triantafillou
Google Brain
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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
8042018
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
3312019
Few-shot learning through an information retrieval lens
E Triantafillou, R Zemel, R Urtasun
Advances in Neural Information Processing Systems 30, 2017
2022017
Non-deterministic planning with temporally extended goals: LTL over finite and infinite traces
A Camacho, E Triantafillou, C Muise, JA Baier, SA McIlraith
Thirty-First AAAI Conference on Artificial Intelligence, 2017
702017
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
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
112021
A unifying framework for planning with LTL and regular expressions
E Triantafillou, J Baier, S McIlraith
Proceedings of the ICAPS Workshop on Model-Checking and Automated Planning …, 2015
82015
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
62016
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
52020
Meta-learning for semi-supervised few-shot classification
E Triantafillou, H Larochelle, J Snell, J Tenenbaum, KJ Swersky, M Ren, ...
42018
Learning flexible classifiers with shot-conditional episodic (scone) training
E Triantafillou, V Dumoulin, H Larochelle, R Zemel
12020
Few-shot Out-of-Distribution Detection
K Wang, P Vicol, E Triantafillou, R Zemel
ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020
12020
Few-shot learning for free by modelling global class structure
X Li, W Grathwohl, E Triantafillou, D Duvenaud, R Zemel
2nd Workshop on Meta-Learning at NeurIPS, 2018
12018
Towards Strong Generalization from Few Examples
E Triantafillou
University of Toronto (Canada), 2021
2021
Few-Shot Attribute Learning
M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ...
arXiv preprint arXiv:2012.05895, 2020
2020
Exploring representation learning for flexible few-shot tasks
M Ren, E Triantafillou, KC Wang, J Lucas, J Snell, X Pitkow, AS Tolias, ...
2020
Out-of-distribution Detection in Few-shot Classification
KC Wang, P Vicol, E Triantafillou, CC Liu, R Zemel
2019
Learning a Universal Template for Few-shot Dataset Generalization Download PDF Open Website
E Triantafillou, H Larochelle, R Zemel, V Dumoulin
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Open Website
E Triantafillou, TL Zhu, V Dumoulin, P Lamblin, U Evci, K Xu, R Goroshin, ...
Appendix for Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples
E Triantafillou, T Zhu, V Dumoulin, P Lamblin, K Xu, R Goroshin, ...
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