TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding (2022.findings-aacl)
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| Challenge: | Meta-Learning requires a large number of training tasks to learn representations that transfer well to unseen tasks. |
| Approach: | They propose a method which synthesizes new tasks by linearly interpolating existing tasks. |
| Outcome: | The proposed method outperforms baselines and does not degrade performance even when it is high. |
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