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. |
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