research
∙
05/25/2022
New Intent Discovery with Pre-training and Contrastive Learning
New intent discovery aims to uncover novel intent categories from user u...
share
research
∙
09/13/2021
Effectiveness of Pre-training for Few-shot Intent Classification
This paper investigates the effectiveness of pre-training for few-shot i...
research
∙
08/24/2021
Adaptation-Agnostic Meta-Training
Many meta-learning algorithms can be formulated into an interleaved proc...
research
∙
06/16/2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
Out-of-scope intent detection is of practical importance in task-oriente...
research
∙
02/18/2021
SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering
Medical visual question answering (Med-VQA) has tremendous potential in ...
research
∙
12/26/2019