Andrea Gesmundo
Andrea Gesmundo
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Cited by
Cited by
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
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
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
Transfer Automatic Machine Learning
C Wong, N Houlsby, Y Lu, A Gesmundo
arXiv preprint arXiv:1803.02780, 2018
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
Lemmatisation as a Tagging Task
A Gesmundo, T Samardzic
ACL 2012: the 50th Annual Meeting of the Association for Computational …, 2012
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
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
Evolutionary-neural hybrid agents for architecture search
K Maziarz, M Tan, A Khorlin, M Georgiev, A Gesmundo
arXiv preprint arXiv:1811.09828, 2018
An evolutionary approach to dynamic introduction of tasks in large-scale multitask learning systems
A Gesmundo, J Dean
arXiv preprint arXiv:2205.12755, 2022
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
munet: Evolving pretrained deep neural networks into scalable auto-tuning multitask systems
A Gesmundo, J Dean
arXiv preprint arXiv:2205.10937, 2022
Lemmatising Serbian as Category Tagging with Bidirectional Sequence Classification
A Gesmundo, T Samardzic
LREC 2012, 2012
Generating query variants using a trained generative model
J Alakuijala, C Buck, J Bulian, M Ciaramita, W Gajewski, A Gesmundo, ...
US Patent 11,663,201, 2023
Fast task-aware architecture inference
E Kokiopoulou, A Hauth, L Sbaiz, A Gesmundo, G Bartok, J Berent
arXiv preprint arXiv:1902.05781, 2019
A continual development methodology for large-scale multitask dynamic ML systems
A Gesmundo
arXiv preprint arXiv:2209.07326, 2022
Routing networks with co-training for continual learning
M Collier, E Kokiopoulou, A Gesmundo, J Berent
arXiv preprint arXiv:2009.04381, 2020
Gumbel-matrix routing for flexible multi-task learning
K Maziarz, E Kokiopoulou, A Gesmundo, L Sbaiz, G Bartok, J Berent
Faster Cube Pruning
A Gesmundo, J Henderson
IWSLT 2012: the 7th International Workshop on Spoken Language Translation, 2010
Neural architecture search through a graph search space
NMT Houlsby, QL de Laroussilhe, SK Jastrzebski, A Gesmundo
US Patent App. 17/418,555, 2022
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