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ml:multi-task_learning [2022/09/16 18:53] – [In NLP] jmflanigml:multi-task_learning [2023/06/15 07:36] (current) – external edit 127.0.0.1
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   * [[https://arxiv.org/pdf/1706.05137.pdf|Kaiser et al 2017 - One Model To Learn Them All]] Almost the same authors as the Transformer (submitted four days after the Transformer).  Interesting they didn't use the Transformer.  Perhaps they got the inspiration from this work.   * [[https://arxiv.org/pdf/1706.05137.pdf|Kaiser et al 2017 - One Model To Learn Them All]] Almost the same authors as the Transformer (submitted four days after the Transformer).  Interesting they didn't use the Transformer.  Perhaps they got the inspiration from this work.
   * DecaNLP: [[https://arxiv.org/pdf/1806.08730.pdf|McCann et al 2018 - The Natural Language Decathlon: Multitask Learning as Question Answering]] [[https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1194/slides/cs224n-2019-lecture17-multitask.pdf|slides]] [[https://decanlp.com/|dataset]]   * DecaNLP: [[https://arxiv.org/pdf/1806.08730.pdf|McCann et al 2018 - The Natural Language Decathlon: Multitask Learning as Question Answering]] [[https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1194/slides/cs224n-2019-lecture17-multitask.pdf|slides]] [[https://decanlp.com/|dataset]]
 +
 +===== Datasets =====
 +  * NLP
 +    * [[https://decanlp.com/|DecaNLP]] [[https://arxiv.org/pdf/1806.08730.pdf|paper]]
 +
 ===== Related Pages ===== ===== Related Pages =====
   * [[Meta-Learning]]   * [[Meta-Learning]]
  
ml/multi-task_learning.1663354411.txt.gz · Last modified: 2023/06/15 07:36 (external edit)

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