Papers with dynamic window selection
Differentiable Window for Dynamic Local Attention (2020.acl-main)
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| Challenge: | Existing general purpose components for learning differentiable windows are hard to optimize. |
| Approach: | They propose a new neural module and general purpose component for dynamic window selection that can enable more focused attentions over the input regions. |
| Outcome: | The proposed approach improves on a myriad of NLP tasks including machine translation, sentiment analysis, subject-verb agreement and language modeling. |