| 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 |
| Towards multi-objective statistically fair federated learning N Mehrabi, C de Lichy, J McKay, C He, W Campbell arXiv preprint arXiv:2201.09917, 2022 | 11 | 2022 |
| CS224W Final Report C de Lichy, R Pan, Z Wu Stanford Network Analysis Project, 2015 | 1 | 2015 |
| GAN-LM: Generative adversarial network using language models for downstream applications DY Hwang, Y Nechaev, C de Lichy, R Zhang Proceedings of the 16th International Natural Language Generation Conference …, 2023 | | 2023 |
| Natural Language Inference, Sentence representation and Attention Mechanism C de Lichy | | |
| Hidden Markov Model for Emotion Detection in Speech C de Lichy, P Havelia, R Rewari | | |
