Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks Abstract 對於開放域對話系統來說在小數據集上訓練生成模型是一件比較困難的事情。已經存在的meta-learning，它通過在非目標任務上進行預訓練然後在目標任務上進行參數微調。但是，微調從參數的角度區分了任務，但忽略了模型結構的，導致對
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相關文章
- 1. Deep Reinforcement Learning for Dialogue Generation
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