Search Results for author: Vaibhav Varshney

Found 3 papers, 0 papers with code

Prompt Augmented Generative Replay via Supervised Contrastive Learning for Lifelong Intent Detection

no code implementations Findings (NAACL) 2022 Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam Shroff

This typically entails repeated retraining of the intent detector on both the existing and novel intents which can be expensive and would require storage of all past data corresponding to prior intents.

Continual Learning Contrastive Learning +2

Intent Detection and Discovery from User Logs via Deep Semi-Supervised Contrastive Clustering

no code implementations NAACL 2022 Rajat Kumar, Mayur Patidar, Vaibhav Varshney, Lovekesh Vig, Gautam Shroff

However, even skilled domain experts are often unable to foresee all possible user intents at design time and for practical applications, novel intents may have to be inferred incrementally on-the-fly from user utterances.

Clustering Intent Detection +4

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