Papers with continual learning method
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking (2021.acl-short)
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| Challenge: | Existing methods to learn consecutive tasks without forgetting how to perform previously trained problems are lacking. |
| Approach: | They propose a continual learning method which preserves performance on previously encountered tasks while accelerating learning progress on subsequent tasks. |
| Outcome: | The proposed method preserves performance on previously encountered tasks while accelerating learning progress on subsequent tasks. |
Non-compositional Expression Generation Based on Curriculum Learning and Continual Learning (2023.findings-emnlp)
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| Challenge: | Non-compositional expressions are a classic ‘pain in the neck’ for NLP systems because of their non-composibility and limited data resources. |
| Approach: | They propose a dynamic curriculum learning framework which learns training examples from easy ones to harder ones but suffers from the forgetting problem. |
| Outcome: | The proposed framework improves on idiomatic expression generation and metaphor generation. |
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers (2021.emnlp-main)
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| Challenge: | Existing methods for continual learning for semantic parsing fail to account for special properties of structured outputs . retraining from scratch is not feasible due to the fast growing number of tasks . |
| Approach: | They propose a continual learning method that uses sequential learning to learn tasks without accessing full training data from previous tasks. |
| Outcome: | The proposed method achieves a 3-6 times speedup compared to re-training from scratch. |