| Graph convolutional encoders for syntax-aware neural machine translation J Bastings, I Titov, W Aziz, D Marcheggiani, K Sima'an EMNLP, 2017 | 570 | 2017 |
| Exploiting semantics in neural machine translation with graph convolutional networks D Marcheggiani, J Bastings, I Titov NAACL, 2018 | 212 | 2018 |
| Interpretable neural predictions with differentiable binary variables J Bastings, W Aziz, I Titov ACL, 2019 | 192 | 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 | 144 | 2020 |
| 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 | 131 | 2020 |
| Joey NMT: A minimalist NMT toolkit for novices J Kreutzer, J Bastings, S Riezler EMNLP, 2019 | 105 | 2019 |
| Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning, 7480-7512, 2023 | 85 | 2023 |
| We Need to Talk About Random Splits A Søgaard, S Ebert, J Bastings, K Filippova EACL, 2021 | 70 | 2021 |
| Scaling Up Models and Data with and A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ... arXiv preprint arXiv:2203.17189, 2022 | 64 | 2022 |
| 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 | 58 | 2018 |
| The multiberts: Bert reproductions for robustness analysis T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ... ICLR, 2022 | 52 | 2022 |
| Autoregressive diffusion models E Hoogeboom, AA Gritsenko, J Bastings, B Poole, R Berg, T Salimans ICLR, 2022 | 48 | 2022 |
| "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 | 18 | 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 | 10 | 2022 |
| 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 | 8 | 2022 |
| Modeling latent sentence structure in neural machine translation J Bastings, W Aziz, I Titov, K Sima'an WNMT 2018 (Extended Abstract), 2019 | 8 | 2019 |
| All Fragments Count in Parser Evaluation J Bastings, K Sima'an LREC, 78-82, 2014 | 7 | 2014 |
| Dissecting recall of factual associations in auto-regressive language models M Geva, J Bastings, K Filippova, A Globerson arXiv preprint arXiv:2304.14767, 2023 | 6 | 2023 |
| Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP J Bastings, Y Belinkov, Y Elazar, D Hupkes, N Saphra, S Wiegreffe Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting …, 2022 | 1 | 2022 |
| Simple Recurrence Improves Masked Language Models T Lei, R Tian, J Bastings, AP Parikh arXiv preprint arXiv:2205.11588, 2022 | 1 | 2022 |
Ivan TitovUniversity of Edinburgh / University of AmsterdamVerified email at inf.ed.ac.uk
