Papers with gradient-level optimization

1 papers
Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer (2022.findings-naacl)

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Challenge: a lack of labeled data for low-resource languages leads to the need for effective cross-lingual transfer learning.
Approach: They propose a mixed training method that trains on both source and target data with stochastic gradient surgery, a novel gradient-level optimization.
Outcome: The proposed method outperforms current methods on all tasks and escapes overfitting issues.

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