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Meta-Learning.md

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Meta Learning

  1. Pre-training Text Representations as Meta Learning Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu [pdf]
  2. Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI21 AAAI21 [pdf] [code]
  3. MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation Rumeng Li, Xun Wang, Hong Yu AAAI20 [pdf]
  4. Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He [pdf]
  5. Meta-learning for Few-shot Natural Language Processing- A Survey Wenpeng Yin [pdf]
  6. Pre-trained Model for Chinese Word Segmentation with Meta Learning Zhen Ke, Liang Shi, Erli Meng, Bin Wang, Xipeng Qiu [pdf]
  7. Meta-Learning for Few-Shot NMT Adaptation Amr Sharaf, Hany Hassan, Hal Daumé III [pdf]
Paper Conference
Knowledge-graph based Proactive Dialogue Generation with Improved Meta-Learning
Hierarchically Structured Meta-learning ICML19
Meta-Transfer Learning for Few-Shot Learning CVPR19
Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-Learning CVPR19
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting NIPS18
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources AAAI20
Personalizing Dialogue Agents via Meta-Learning ACL19
Domain Adaptive Dialog Generation via Meta Learning ACL19
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems IJCAI19
Natural Language to Structured Query Generation via Meta-Learning NAACL18
Meta-Learning for Low-Resource Neural Machine Translation EMNLP18
On First-Order Meta-Learning Algorithms
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks ICML17
Optimization as a model for few-shot learning ICLR17