| A closer look at feature space data augmentation for few-shot intent classification V Kumar, H Glaude, C de Lichy, W Campbell arXiv preprint arXiv:1910.04176, 2019 | 93 | 2019 |
| Meta-learning for few-shot named entity recognition C de Lichy, H Glaude, W Campbell Proceedings of the 1st Workshop on Meta Learning and Its Applications to …, 2021 | 23 | 2021 |
| Protoda: Efficient transfer learning for few-shot intent classification M Kumar, V Kumar, H Glaude, C de Lichy, A Alok, R Gupta 2021 IEEE Spoken Language Technology Workshop (SLT), 966-972, 2021 | 13 | 2021 |
| PAC learning of Probabilistic Automaton based on the Method of Moments H Glaude, O Pietquin International Conference on Machine Learning, 820-829, 2016 | 11 | 2016 |
| Subspace identification for predictive state representation by nuclear norm minimization H Glaude, O Pietquin, C Enderli 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014 | 10 | 2014 |
| Learning of scanning strategies for electronic support using predictive state representations H Claude, C Enderli, JF Grandin, O Pietquin 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 7 | 2015 |
| Cyprien de Lichy, Aman Alok, and Rahul Gupta. 2021. Protoda: Efficient transfer learning for few-shot intent classification M Kumar, V Kumar, H Glaude IEEE Spoken Language Technology Workshop (SLT Workshop), 966-972, 0 | 6 | |
| Spectral learning with proper probabilities for finite state automation H Glaude, C Enderli, O Pietquin ASRU 2015-Automatic Speech Recognition and Understanding Workshop, 2015 | 5 | 2015 |
| Spectral learning with non negative probabilities for finite state automaton H Glaude, C Enderli, O Pietquin 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU …, 2015 | 2 | 2015 |
| Non-negative spectral learning for linear sequential systems H Glaude, C Enderli, O Pietquin Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 2 | 2015 |
| A non-parametric approach to approximate dynamic programming H Glaude, F Akrimi, M Geist, O Pietquin 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 2 | 2011 |
| A closer look at latent space data augmentation for few-shot intent classification V Kumar, H Glaude, WM Campbell | 1 | 2019 |
| Method and system for determining a reception configuration and a duration of a time interval H Glaude, H Boucard US Patent App. 15/024,011, 2016 | 1 | 2016 |
| Proceedings of the 2nd Workshop on Life-long Learning for Spoken Language Systems WM Campbell, A Waibel, D Hakkani-Tur, TJ Hazen, K Kilgour, E Cho, ... Proceedings of the 2nd Workshop on Life-long Learning for Spoken Language …, 2020 | | 2020 |
| Cyprien de Lichy, and William Campbell. A closer look at feature space data augmentation for few-shot intent classification V Kumar, H Glaude Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019 | | 2019 |
| Méthodes des moments pour l'inférence de systèmes séquentiels linéaires rationnels H Glaude Université de Lille 1-Sciences et Technologies, 2016 | | 2016 |
| Méthodes des moments pour l'inférence de systèmes séquentiels linéaires rationnels.(Learning rational linear sequential systems using the method of moments). H Glaude Lille University of Science and Technology, France, 2016 | | 2016 |
| Apprentissage spectral non négatif de systèmes séquentiels linéaires H Glaude, C Enderli, O Pietquin | | 2015 |
| Procédé et système de détermination d'une configuration de réception et d'une durée d'un intervalle temporel H Glaude, H Boucard FR Patent WO2015049107 A1, 2015 | | 2015 |
| PAC learning of Probabilistic Automaton based on the Method of Moments (Supplementary Material) H Glaude | | |
Olivier PietquinCohere | ex Google DeepMind (On leave - Professor at University of Lille)Verified email at univ-lille.fr
