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

By Vaibhav Varshney, Mayur Patidar, Rajat Kumar, Lovekesh Vig, Gautam M. Shroff. 2022

17 citations recorded by the source corpus.

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Subfields: Prompting & Reasoning, Meta & Continual Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Prompting & Reasoning

1. Liyuan Wang
2. Jun Zhu
3. Hang Su
4. Xingxing Zhang

In Meta & Continual Learning

1. Xingxing Zhang
2. Liyuan Wang
3. Hang Su
4. Jun Zhu
5. Simone Scardapane
6. Valerio Marsocci
7. Liyuan Wang
8. Hongwei Yan

Citations in the corpus

• A Comprehensive Survey of Continual Learning: Theory, Method and Application (2023, methodology): “learning strategies, such as weight regularization (RMR-DSE [254], SRC [274]), knowledge distillation (ExtendNER [318], CFID [256], CID [273], PAGeR [427], LFPT5 [352], DnR [408], CL-NMT [52], COKD [387]), experience replay (CFID [256], CID [273], ELLE [355], IDBR [175], MBPA++ [89], Meta-”