Search Results for author: Hadrien Glaude

Found 3 papers, 0 papers with code

Meta-Learning for Few-Shot Named Entity Recognition

no code implementations ACL (MetaNLP) 2021 Cyprien de Lichy, Hadrien Glaude, William Campbell

Meta-learning has recently been proposed to learn models and algorithms that can generalize from a handful of examples.

Language Modelling Meta-Learning +4

ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification

no code implementations28 Jan 2021 Manoj Kumar, Varun Kumar, Hadrien Glaude, Cyprien delichy, Aman Alok, Rahul Gupta

We make use of a conditional generator for data augmentation that is trained directly using the meta-learning objective and simultaneously with prototypical networks, hence ensuring that data augmentation is customized to the task.

Classification Data Augmentation +9

A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification

no code implementations WS 2019 Varun Kumar, Hadrien Glaude, Cyprien de Lichy, William Campbell

In particular, we show that (a) upsampling in latent space is a competitive baseline for feature space augmentation (b) adding the difference between two examples to a new example is a simple yet effective data augmentation method.

Data Augmentation General Classification +4

Cannot find the paper you are looking for? You can Submit a new open access paper.