Emmanouil Antonios Platanios
Emmanouil Antonios Platanios
Research Scientist, Scaled Cognition
Verified email at - Homepage
Cited by
Cited by
Never-Ending Learning
T Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ...
Association for the Advancement of Artificial Intelligence (AAAI), 2015
Competence-based curriculum learning for neural machine translation
EA Platanios, O Stretcu, G Neubig, B Poczos, TM Mitchell
arXiv preprint arXiv:1903.09848, 2019
Contextual parameter generation for universal neural machine translation
EA Platanios, M Sachan, G Neubig, T Mitchell
arXiv preprint arXiv:1808.08493, 2018
Re-tacred: Addressing shortcomings of the tacred dataset
G Stoica, EA Platanios, B Póczos
Proceedings of the AAAI conference on artificial intelligence 35 (15), 13843 …, 2021
Estimating Accuracy from Unlabeled Data
EA Platanios, A Blum, T Mitchell
Uncertainty in Artificial Intelligence, 2014
Graph agreement models for semi-supervised learning
O Stretcu, K Viswanathan, D Movshovitz-Attias, E Platanios, S Ravi, ...
Advances in Neural Information Processing Systems 32, 2019
Estimating accuracy from unlabeled data: A probabilistic logic approach
E Platanios, H Poon, TM Mitchell, EJ Horvitz
Advances in neural information processing systems 30, 2017
Constrained language models yield few-shot semantic parsers
R Shin, CH Lin, S Thomson, C Chen, S Roy, EA Platanios, A Pauls, ...
arXiv preprint arXiv:2104.08768, 2021
Compositional generalization for neural semantic parsing via span-level supervised attention
P Yin, H Fang, G Neubig, A Pauls, EA Platanios, Y Su, S Thomson, ...
Association for Computational Linguistics (ACL), 2021
Estimating accuracy from unlabeled data: A bayesian approach
EA Platanios, A Dubey, T Mitchell
International Conference on Machine Learning, 1416-1425, 2016
Contextual parameter generation for knowledge graph link prediction
G Stoica, O Stretcu, EA Platanios, T Mitchell, B Póczos
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 3000-3008, 2020
Jelly Bean World: A Testbed for Never-Ending Learning
E Antonios Platanios, A Saparov, T Mitchell
arXiv e-prints, arXiv: 2002.06306, 2020
Hyperdynamics: Meta-learning object and agent dynamics with hypernetworks
Z Xian, S Lal, HY Tung, EA Platanios, K Fragkiadaki
arXiv preprint arXiv:2103.09439, 2021
Gaussian Process-Mixture Conditional Heteroscedasticity
E Platanios, S Chatzis
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (5), 888-900, 2014
Coarse-to-fine curriculum learning
O Stretcu, EA Platanios, TM Mitchell, B Póczos
arXiv preprint arXiv:2106.04072, 2021
Bridging the generalization gap in text-to-SQL parsing with schema expansion
C Zhao, Y Su, A Pauls, EA Platanios
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
Coarse-to-fine curriculum learning for classification
O Stretcu, EA Platanios, T Mitchell, B Póczos
International Conference on Learning Representations (ICLR) Workshop on …, 2020
Learning from imperfect annotations
EA Platanios, M Al-Shedivat, E Xing, T Mitchell
arXiv preprint arXiv:2004.03473, 2020
CMUML System for KBP 2015 Cold Start Slot Filling.
B Kisiel, B McDowell, M Gardner, N Nakashole, EA Platanios, A Saparov, ...
TAC, 2015
Online semantic parsing for latency reduction in task-oriented dialogue
J Zhou, J Eisner, M Newman, EA Platanios, S Thomson
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
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