Papers by Alexander Pugantsov
Divergence-Based Domain Transferability for Zero-Shot Classification (2023.findings-eacl)
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| Challenge: | a recent study shows that fine-tuning of neural models can improve performance on language-based tasks without brute-force searching effective task combinations. |
| Approach: | They propose to use divergence measures to estimate whether one task pair will perform better than another . they use 58 tasks and 6,600 task pair combinations to study the effect of different tuning methods . |
| Outcome: | The proposed method reduces end-to-end runtime by 40% by estimating transferability . the proposed method is based on 58 tasks and over 6,600 task pair combinations . |