ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification

no code implementations • 28 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