目前对Curriculum Learning的研究进展
会议：
ACL 2019
Sentence Level Curriculum Learning for Improved Neural Conversational Models
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
EMNLP2019
Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction
IJCAI2019
Curriculum Learning for Cumulative Return Maximization
AAAI2019
Transferable Curriculum for Weakly-Supervised Domain Adaptation
AAAI2020
Fine-Tuning by Curriculum Learning for Non‐Autoregressive Neural Machine Translation
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models
From Few to More: Large‐scale Dynamic Multiagent Curriculum Learning
AAMAS2019
Learning Curriculum Policies for Reinforcement Learning
方向：
- 生成任务
Curriculum Learning for Natural Answer Generation
IJCAI2018: https://www.ijcai.org/proceedings/2018/0587.pdf
- 机器翻译
Competence-based Curriculum Learning for Neural Machine Translation
naacl2019：https://arxiv.org/pdf/1903.09848.pdf
Curriculum Learning for Domain Adaptation in Neural Machine Translation.
NAACL 2019: https://arxiv.org/abs/1905.05816
An empirical exploration of curriculum learning for neural machine translation.
https://arxiv.org/abs/1811.00739
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation.
AAAI 2020:https://arxiv.org/abs/1911.08717
- 信息检索 IR
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking
ECIR’20：https://arxiv.org/abs/1912.08555
-结合强化学习
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
NAACL 2019: https://arxiv.org/abs/1903.00041
将数据切分为多个bin，利用RL动态选择训练哪个bin
Evolutionarily-Curated Curriculum Learning for Deep Reinforcement Learning Agents
AAAI2019：https://arxiv.org/pdf/1901.05431.pdf
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
CoRL2019：https://arxiv.org/abs/1910.07224
