Papers by Julio Hurtado
How Relevant is Selective Memory Population in Lifelong Language Learning? (2022.aacl-short)
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| Challenge: | Existing approaches to lifelong language learning rely on sparse experience replay to prevent catastrophic forgetting. |
| Approach: | They propose to use a selective memory population to store a uniform number of samples from the entire data stream to improve model performance. |
| Outcome: | The proposed methods show that they are relevant for lifelong language learning tasks, especially for low memory size, and consistent with computer vision studies. |