- Meta Learning Slides
- https://meta-nlp-2021.github.io/
- https://github.com/ha-lins/MetaLearning4NLP-Papers
- 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]
- Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI21
AAAI21
[pdf] [code] - MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation Rumeng Li, Xun Wang, Hong Yu
AAAI20
[pdf] - Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He [pdf]
- Meta-learning for Few-shot Natural Language Processing- A Survey Wenpeng Yin [pdf]
- Pre-trained Model for Chinese Word Segmentation with Meta Learning Zhen Ke, Liang Shi, Erli Meng, Bin Wang, Xipeng Qiu [pdf]
- 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 |