| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 254 | 2017 |
| Understanding objects in detail with fine-grained attributes A Vedaldi, S Mahendran, S Tsogkas, S Maji, R Girshick, J Kannala, ... Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 124 | 2014 |
| Understanding learning dynamics of language models with SVCCA N Saphra, A Lopez arXiv preprint arXiv:1811.00225, 2018 | 70 | 2018 |
| An algerian arabic-french code-switched corpus R Cotterell, A Renduchintala, N Saphra, C Callison-Burch Workshop on free/open-source arabic corpora and corpora processing tools …, 2014 | 62 | 2014 |
| Understanding privacy-related questions on Stack Overflow M Tahaei, K Vaniea, N Saphra Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 54 | 2020 |
| Pareto probing: Trading off accuracy for complexity T Pimentel, N Saphra, A Williams, R Cotterell arXiv preprint arXiv:2010.02180, 2020 | 40 | 2020 |
| The multiberts: Bert reproductions for robustness analysis T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ... arXiv preprint arXiv:2106.16163, 2021 | 38 | 2021 |
| A framework for (under) specifying dependency syntax without overloading annotators N Schneider, B O'Connor, N Saphra, D Bamman, M Faruqui, NA Smith, ... arXiv preprint arXiv:1306.2091, 2013 | 31 | 2013 |
| Linear connectivity reveals generalization strategies J Juneja, R Bansal, K Cho, J Sedoc, N Saphra arXiv preprint arXiv:2205.12411, 2022 | 11 | 2022 |
| Amrica: an amr inspector for cross-language alignments N Saphra, A Lopez Proceedings of the 2015 conference of the north american chapter of the …, 2015 | 11 | 2015 |
| State-of-the-art generalisation research in NLP: a taxonomy and review D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... arXiv preprint arXiv:2210.03050, 2022 | 10 | 2022 |
| Language models learn pos first N Saphra, A Lopez Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 10 | 2018 |
| A non-linear structural probe JC White, T Pimentel, N Saphra, R Cotterell arXiv preprint arXiv:2105.10185, 2021 | 9 | 2021 |
| Lstms compose (and learn) bottom-up N Saphra, A Lopez arXiv preprint arXiv:2010.04650, 2020 | 9 | 2020 |
| Evaluating Informal-Domain Word Representations With UrbanDictionary N Saphra, A Lopez The First Workshop on Evaluating Vector Space Representations for NLP, 2016 | 3 | 2016 |
| Word interdependence exposes how lstms compose representations N Saphra, A Lopez arXiv preprint arXiv:2004.13195, 2020 | 2 | 2020 |
| Towards a detailed understanding of objects and scenes in natural images M Blaschko, RB Girshick, J Kannala, I Kokkinos, S Mahendran, S Maji, ... Center for Language and Speech Processing, Johns Hopkins University, 2012 | 2 | 2012 |
| Training dynamics of neural language models N Saphra The University of Edinburgh, 2021 | 1 | 2021 |
| Dynamic Masking Rate Schedules for MLM Pretraining Z Ankner, N Saphra, D Blalock, J Frankle, ML Leavitt arXiv preprint arXiv:2305.15096, 2023 | | 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 | | 2022 |
Adam LopezUniversity of EdinburghVerified email at ed.ac.uk
