Eleni Triantafillou
Eleni Triantafillou
University of Toronto, Vector Institute
Verified email at cs.toronto.edu - Homepage
Cited by
Cited by
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
Few-shot learning through an information retrieval lens
E Triantafillou, R Zemel, R Urtasun
Advances in Neural Information Processing Systems, 2255-2265, 2017
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
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
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
A unifying framework for planning with LTL and regular expressions
E Triantafillou, J Baier, S McIlraith
MOCHAP, a workshop collocated with ICAPS, 23-31, 2015
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
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
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, 2020
Out-of-distribution Detection in Few-shot Classification
KC Wang, P Vicol, E Triantafillou, CC Liu, R Zemel
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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