| API design for machine learning software: experiences from the scikit-learn project L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ... arXiv preprint arXiv:1309.0238, 2013 | 3754 | 2013 |
| Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions C Tan, V Niculae, C Danescu-Niculescu-Mizil, L Lee Proceedings of the 25th International Conference on World Wide Web, 613-624, 2016 | 436 | 2016 |
| Adaptively Sparse Transformers GM Correia, V Niculae, AFT Martins EMNLP 2019, 2019 | 274 | 2019 |
| Sparse Sequence-to-Sequence Models B Peters, V Niculae, AFT Martins ACL 2019, 2019 | 249 | 2019 |
| Argument Mining with Structured SVMs and RNNs V Niculae, J Park, C Cardie Proc. ACL, 2017 | 142 | 2017 |
| SparseMAP: Differentiable Sparse Structured Inference V Niculae, AFT Martins, M Blondel, C Cardie Proc. ICML, 2018 | 138 | 2018 |
| Learning with Fenchel-Young losses. M Blondel, AFT Martins, V Niculae J. Mach. Learn. Res. 21 (35), 1-69, 2020 | 136 | 2020 |
| A regularized framework for sparse and structured neural attention V Niculae, M Blondel Advances in Neural Information Processing Systems, 3338-3348, 2017 | 124 | 2017 |
| QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns V Niculae, C Suen, J Zhang, C Danescu-Niculescu-Mizil, J Leskovec Proceedings of the 24th International Conference on World Wide Web, 798-808, 2015 | 78 | 2015 |
| Linguistic harbingers of betrayal: A case study on an online strategy game V Niculae, S Kumar, J Boyd-Graber, C Danescu-Niculescu-Mizil ACL 2015, 2015 | 74 | 2015 |
| Conversational markers of constructive discussions V Niculae, C Danescu-Niculescu-Mizil NAACL-HLT 2016, 2016 | 62 | 2016 |
| Temporal Text Ranking and Automatic Dating of Texts V Niculae, M Zampieri, LP Dinu, AM Ciobanu EACL 2014, 17, 2014 | 58 | 2014 |
| Brighter than gold: Figurative language in user generated comparisons V Niculae, C Danescu-Niculescu-Mizil Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 47 | 2014 |
| Learning classifiers with Fenchel-Young losses: Generalized entropies, margins, and algorithms M Blondel, A Martins, V Niculae The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 44 | 2019 |
| Sparse and continuous attention mechanisms A Martins, A Farinhas, M Treviso, V Niculae, P Aguiar, M Figueiredo Advances in Neural Information Processing Systems 33, 20989-21001, 2020 | 35 | 2020 |
| Computational considerations of comparisons and similes V Niculae, V Yaneva 51st Annual Meeting of the Association for Computational Linguistics …, 2013 | 30 | 2013 |
| Towards Dynamic Computation Graphs via Sparse Latent Structure V Niculae, AFT Martins, C Cardie Proc. EMNLP, 2018 | 28 | 2018 |
| Efficient marginalization of discrete and structured latent variables via sparsity G Correia, V Niculae, W Aziz, A Martins Advances in Neural Information Processing Systems 33, 11789-11802, 2020 | 24 | 2020 |
| LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction V Niculae, AFT Martins Proc. ICML, 2020 | 21 | 2020 |
| Comparison pattern matching and creative simile recognition V Niculae Proceedings of the Joint Symposium on Semantic Processing. Textual Inference …, 2013 | 21 | 2013 |
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoDirección de correo verificada de cs.cmu.edu
