| Joint learning of named entity recognition and entity linking PH Martins, Z Marinho, AFT Martins arXiv preprint arXiv:1907.08243, 2019 | 104 | 2019 |
| Functional gradient motion planning in reproducing kernel hilbert spaces Z Marinho, A Dragan, A Byravan, B Boots, S Srinivasa, G Gordon arXiv preprint arXiv:1601.03648, 2016 | 74 | 2016 |
| -former: Infinite Memory Transformer PH Martins, Z Marinho, AFT Martins arXiv preprint arXiv:2109.00301, 2021 | 58 | 2021 |
| Jointly extracting and compressing documents with summary state representations A Mendes, S Narayan, S Miranda, Z Marinho, AFT Martins, SB Cohen arXiv preprint arXiv:1904.02020, 2019 | 58 | 2019 |
| Automated fact checking in the news room S Miranda, D Nogueira, A Mendes, A Vlachos, A Secker, R Garrett, ... The world wide web conference, 3579-3583, 2019 | 38 | 2019 |
| Three dimensional magnetic flux concentrators with improved efficiency for magnetoresistive sensors Z Marinho, S Cardoso, R Chaves, R Ferreira, LV Melo, PP Freitas Journal of Applied Physics 109 (7), 2011 | 37 | 2011 |
| Sparse text generation PH Martins, Z Marinho, AFT Martins arXiv preprint arXiv:2004.02644, 2020 | 33 | 2020 |
| Recurrent predictive state policy networks A Hefny, Z Marinho, W Sun, S Srinivasa, G Gordon International Conference on Machine Learning, 1949-1958, 2018 | 32 | 2018 |
| Efficient machine translation domain adaptation PH Martins, Z Marinho, AFT Martins arXiv preprint arXiv:2204.12608, 2022 | 26 | 2022 |
| Chunk-based nearest neighbor machine translation PH Martins, Z Marinho, AFT Martins arXiv preprint arXiv:2205.12230, 2022 | 21 | 2022 |
| Hierarchical nested named entity recognition Z Marinho, A Mendes, S Miranda, D Nogueira Proceedings of the 2nd Clinical Natural Language Processing Workshop, 28-34, 2019 | 17 | 2019 |
| Self-consistent models and values G Farquhar, K Baumli, Z Marinho, A Filos, M Hessel, HP van Hasselt, ... Advances in Neural Information Processing Systems 34, 1111-1125, 2021 | 12 | 2021 |
| Unsupervised learning for nonlinear piecewise smooth hybrid systems G Lee, Z Marinho, AM Johnson, GJ Gordon, SS Srinivasa, MT Mason arXiv preprint arXiv:1710.00440, 2017 | 12 | 2017 |
| Model-value inconsistency as a signal for epistemic uncertainty A Filos, E Vértes, Z Marinho, G Farquhar, D Borsa, A Friesen, ... arXiv preprint arXiv:2112.04153, 2021 | 10 | 2021 |
| Sparse and structured visual attention PH Martins, V Niculae, Z Marinho, AFT Martins 2021 IEEE International Conference on Image Processing (ICIP), 379-383, 2021 | 7 | 2021 |
| Semi-supervised learning of sequence models with the method of moments ZM Marinho, AFT Martin, S Cohen, NA Smith 2016 Conference on Empirical Methods in Natural Language Processing, 287-296, 2016 | 6 | 2016 |
| Priberam at mesinesp multi-label classification of medical texts task R Cardoso, Z Marinho, A Mendes, S Miranda Experimental IR Meets Multilinguality, Multimodality, and Interaction: 12th …, 2021 | 4 | 2021 |
| Nova-Wang at SemEval-2020 Task 12: OffensEmblert: An ensemble ofoffensive language classifiers S Wang, Z Marinho Proceedings of the Fourteenth Workshop on Semantic Evaluation, 1587-1597, 2020 | 3 | 2020 |
| Predictive state models for prediction and control in partially observable environments A Hefny, C Downey, Z Marinho, W Sun, S Srinivasa, GJ Gordon Conference on Robot Learning (CoRL) 152, 2017 | 3 | 2017 |
| Moment-based algorithms for structured prediction Z Marinho | 1 | 2015 |
Andre MartinsCarnegie Mellon University and Instituto Superior Tecnico在 cs.cmu.edu 的电子邮件经过验证
