| Never-Ending Learning T Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ... Association for the Advancement of Artificial Intelligence (AAAI), 2015 | 1119 | 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 | 226 | 2019 |
| Contextual parameter generation for universal neural machine translation EA Platanios, M Sachan, G Neubig, T Mitchell arXiv preprint arXiv:1808.08493, 2018 | 129 | 2018 |
| Estimating Accuracy from Unlabeled Data EA Platanios, A Blum, T Mitchell Uncertainty in Artificial Intelligence, 2014 | 71 | 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 | 55 | 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 | 55 | 2017 |
| 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 | 43 | 2021 |
| Estimating accuracy from unlabeled data: A bayesian approach EA Platanios, A Dubey, T Mitchell International Conference on Machine Learning, 1416-1425, 2016 | 35 | 2016 |
| 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 | 33 | 2021 |
| 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 | 27 | 2020 |
| 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 | 19 | 2021 |
| Jelly Bean World: A Testbed for Never-Ending Learning E Antonios Platanios, A Saparov, T Mitchell arXiv e-prints, arXiv: 2002.06306, 2020 | 19* | 2020 |
| Gaussian Process-Mixture Conditional Heteroscedasticity E Platanios, S Chatzis IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (5), 888-900, 2014 | 19 | 2014 |
| 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 | 11 | 2021 |
| Coarse-to-fine curriculum learning for classification O Stretcu, EA Platanios, T Mitchell, B Póczos International Conference on Learning Representations (ICLR) Workshop on …, 2020 | 9 | 2020 |
| CMUML System for KBP 2015 Cold Start Slot Filling. B Kisiel, B McDowell, M Gardner, N Nakashole, EA Platanios, A Saparov, ... TAC, 2015 | 7 | 2015 |
| 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 | 6 | 2022 |
| Learning from imperfect annotations EA Platanios, M Al-Shedivat, E Xing, T Mitchell arXiv preprint arXiv:2004.03473, 2020 | 6 | 2020 |
| Coarse-to-fine curriculum learning O Stretcu, EA Platanios, TM Mitchell, B Póczos arXiv preprint arXiv:2106.04072, 2021 | 5 | 2021 |
| CMUML Micro-Reader System for KBP 2016 Cold Start Slot Filling, Event Nugget Detection, and Event Argument Linking. B Yang, N Nakashole, B Kisiel, EA Platanios, A Saparov, S Srivastava, ... TAC, 2016 | 5 | 2016 |
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
