| Parameter-efficient transfer learning for NLP N Houlsby, A Giurgiu, S Jastrzebski, B Morrone, Q De Laroussilhe, ... International Conference on Machine Learning, 2790-2799, 2019 | 913 | 2019 |
| Ask the right questions: Active question reformulation with reinforcement learning C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, N Houlsby, ... arXiv preprint arXiv:1705.07830, 2017 | 155 | 2017 |
| Temporal coding in spiking neural networks with alpha synaptic function IM Comsa, K Potempa, L Versari, T Fischbacher, A Gesmundo, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 142 | 2020 |
| Transfer Automatic Machine Learning C Wong, N Houlsby, Y Lu, A Gesmundo arXiv preprint arXiv:1803.02780, 2018 | 114* | 2018 |
| A latent variable model of synchronous syntactic-semantic parsing for multiple languages A Gesmundo, J Henderson, P Merlo, I Titov CoNLL 2009: Thirteenth Conference on Computational Natural Language Learning …, 2009 | 62 | 2009 |
| Lemmatisation as a Tagging Task A Gesmundo, T Samardzic ACL 2012: the 50th Annual Meeting of the Association for Computational …, 2012 | 60 | 2012 |
| Machine translation of labeled discourse connectives T Meyer, A Popescu-Belis, N Hajlaoui, A Gesmundo Proceedings of the 10th Conference of the Association for Machine …, 2012 | 53 | 2012 |
| 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 | 29 | 2022 |
| Evolutionary-neural hybrid agents for architecture search K Maziarz, M Tan, A Khorlin, M Georgiev, A Gesmundo arXiv preprint arXiv:1811.09828, 2018 | 27 | 2018 |
| Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification A Gesmundo, T Samardzic LREC 2012, 2012 | 15 | 2012 |
| Fast task-aware architecture inference E Kokiopoulou, A Hauth, L Sbaiz, A Gesmundo, G Bartok, J Berent arXiv preprint arXiv:1902.05781, 2019 | 12 | 2019 |
| Temporal coding in spiking neural networks with alpha synaptic function: learning with backpropagation IM Comşa, K Potempa, L Versari, T Fischbacher, A Gesmundo, ... IEEE transactions on neural networks and learning systems 33 (10), 5939-5952, 2021 | 11 | 2021 |
| Faster Cube Pruning A Gesmundo, J Henderson IWSLT 2012: the 7th International Workshop on Spoken Language Translation, 2010 | 11 | 2010 |
| Gumbel-matrix routing for flexible multi-task learning K Maziarz, E Kokiopoulou, A Gesmundo, L Sbaiz, G Bartok, J Berent | 10 | 2019 |
| Improving MT coherence through text-level processing of input texts: the COMTIS project B Cartoni, A Gesmundo, J Henderson, C Grisot, P Merlo, T Meyer, ... | 9* | 2011 |
| Bidirectional Sequence Classification for Tagging Tasks with Guided Learning A Gesmundo TALN 2011, 2011 | 9 | 2011 |
| Temporal coding in spiking neural networks with alpha synaptic function: Learning with backpropagation IM Comsa, K Potempa, L Versari, T Fischbacher, A Gesmundo, ... arXiv preprint arXiv:1907.13223, 2019 | 8 | 2019 |
| Projecting the knowledge graph to syntactic parsing A Gesmundo, K Hall | 8 | 2014 |
| Bidirectional Sequence Classification for Named Entities Recognition A Gesmundo Evalita 2009: Evaluation of NLP and Speech Tools for Italian, 2009 | 8 | 2009 |
| Generating query variants using a trained generative model J Alakuijala, C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, ... US Patent App. 16/609,318, 2020 | 7 | 2020 |
Neil HoulsbyGoogleVerified email at google.com
