| Graph convolutional encoders for syntax-aware neural machine translation J Bastings, I Titov, W Aziz, D Marcheggiani, K Sima'an EMNLP, 2017 | 514 | 2017 |
| Exploiting semantics in neural machine translation with graph convolutional networks D Marcheggiani, J Bastings, I Titov NAACL, 2018 | 193 | 2018 |
| Interpretable neural predictions with differentiable binary variables J Bastings, W Aziz, I Titov ACL, 2019 | 157 | 2019 |
| The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? J Bastings, K Filippova EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2020 | 107 | 2020 |
| Joey NMT: A minimalist NMT toolkit for novices J Kreutzer, J Bastings, S Riezler EMNLP, 2019 | 91 | 2019 |
| The language interpretability tool: Extensible, interactive visualizations and analysis for NLP models I Tenney, J Wexler, J Bastings, T Bolukbasi, A Coenen, S Gehrmann, ... EMNLP, 2020 | 89 | 2020 |
| Jump to better conclusions: SCAN both left and right J Bastings, M Baroni, J Weston, K Cho, D Kiela EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2018 | 53 | 2018 |
| We Need to Talk About Random Splits A Søgaard, S Ebert, J Bastings, K Filippova EACL, 2021 | 48 | 2021 |
| Scaling up models and data with t5x and seqio A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ... arXiv preprint arXiv:2203.17189 13, 2022 | 31 | 2022 |
| The multiberts: Bert reproductions for robustness analysis T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ... ICLR, 2022 | 26 | 2022 |
| Autoregressive diffusion models E Hoogeboom, AA Gritsenko, J Bastings, B Poole, R Berg, T Salimans ICLR, 2022 | 24 | 2022 |
| Diagnosing AI explanation methods with folk concepts of behavior A Jacovi, J Bastings, S Gehrmann, Y Goldberg, K Filippova arXiv preprint arXiv:2201.11239, 2022 | 8 | 2022 |
| Modeling latent sentence structure in neural machine translation J Bastings, W Aziz, I Titov, K Sima'an WNMT 2018 (Extended Abstract), 2019 | 7 | 2019 |
| All Fragments Count in Parser Evaluation J Bastings, K Sima'an LREC, 78-82, 2014 | 6 | 2014 |
| "Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification J Bastings, S Ebert, P Zablotskaia, A Sandholm, K Filippova EMNLP 2022, 2021 | 5 | 2021 |
| Training text-to-text transformers with privacy guarantees N Ponomareva, J Bastings, S Vassilvitskii Findings of the Association for Computational Linguistics: ACL 2022, 2182-2193, 2022 | 3 | 2022 |
| Simple Recurrence Improves Masked Language Models T Lei, R Tian, J Bastings, AP Parikh arXiv preprint arXiv:2205.11588, 2022 | 1 | 2022 |
| A tale of two sequences Interpretable and linguistically-informed deep learning for natural language processing J Bastings | 1 | 2020 |
| Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP J Bastings, Y Belinkov, E Dupoux, M Giulianelli, D Hupkes, Y Pinter, ... Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting …, 2021 | | 2021 |
| A tale of two sequences J Bastings | | |
Ivan TitovUniversity of Edinburgh / University of AmsterdamPotvrđena adresa e-pošte na inf.ed.ac.uk
