woshishui1 / curriculum-learning-paperlist-materials

Curriculum Learning related papers and materials

Curriculum Learning PaperList/Materials

This repository contains Curriculum Learning related papers and materials. Welcome contribute to this repo (typos or adding new papers).

PaperList

Early

• Curriculum Learning [2009]
  • First paper about CL
• Bilingual Word Embeddings for Phrase-Based Machine Translation [2013]
• Learning to Execute [2014]

2015

• Self-Paced Curriculum Learning [AAAI]
  • Self-paced Learning & CL combined
• Curriculum learning of multiple tasks [CVPR]
• Recurrent neural network language model adaptation with curriculum learning

2016

• CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
• Easy Questions First? A Case Study on Curriculum Learning for Question Answering [ACL]
• Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning [ACL]
• Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks
• Multi-modal curriculum learning for semisupervised image classification

2017

• Automated Curriculum Learning for Neural Networks [ICML]
  • RL related
• Curriculum Learning for Multi-Task Classification of Visual Attributes [ICCV]
• Curriculum Dropout [ICCV]
• Curriculum Learning and Minibatch Bucketing in Neural Machine Translation [RANLP]
• Repeat before forgetting: Spaced repetition for efficient and effective training of neural networks [EMNLP]
• Teacher-Student Curriculum Learning
• Boosting neural machine translation [IJCNLP]
• Curriculum Learning in Reinforcement Learning

2018

• An Empirical Exploration of Curriculum Learning for Neural Machine Translation
• Curriculum Learning by Transfer Learning - Theory and Experiments with Deep Networks [ICML]
• MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels [ICML]
• Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning [WSDM]
• Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity [ICLR]
• Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management [ACL]
• LEARNING TO TEACH [ICLR]
• Curriculum Learning for Natural Answer Generation [IJCAI]
• Learning Curriculum Policies for Reinforcement Learning
• Starcraft micromanagement with reinforcement learning and curriculum transfer learning
• Curriculumnet: Weakly supervised learning from large-scale web images [ECCV]

2019

• On The Power of Curriculum Learning in Training Deep Networks [ICML]
• Reinforcement Learning based Curriculum Optimization for Neural Machine Translation [NAACL] [short]
• Dynamic Curriculum Learning for Imbalanced Data Classification
• Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives [ACL]
• Sentence Level Curriculum Learning for Improved Neural Conversational Models [ACL]
• Curriculum Learning for Cumulative Return Maximization [IJCAI]
  • RL related
• Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation [ACL]
• Curriculum Learning for Domain Adaptation in Neural Machine Translation [NAACL]
• Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation [BMVC]
• Learning a Multitask Curriculum for Neural Machine Translation
• Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction [EMNLP]
• Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum [NIPS]
• Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models [AAAI]
• From Few to More: Large-scale Dynamic Multiagent Curriculum Learning [AAAI]
• Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation [AAAI]

2020

• Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning [ICLR]
• Automated curriculum generation through setter-solver interactions [ICLR]
• Curriculum Loss: Robust Learning and Generalization against Label Corruption [ICLR]
• CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation [ACL]
• Curriculum Learning for Natural Language Understanding [ACL]
• Learning a Multi-Domain Curriculum for Neural Machine Translation [ACL]
• Curriculum Pre-training for End-to-End Speech Translation [ACL]
• Norm-Based Curriculum Learning for Neural Machine Translation [ACL]
• Uncertainty-Aware Curriculum Learning for Neural Machine Translation [ACL]
• Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation [IJCAI]
• Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning [IJCAI]
• Automatic Curriculum Learning For Deep RL: A Short Survey [IJCAI]
• Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation [EMNLP]
• SuperLoss: A Generic Loss for Robust Curriculum Learning [NIPS]
• Automatic Curriculum Learning through Value Disagreement [NIPS]
• A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances [NIPS]
• Curriculum By Smoothing [NIPS]
• Curriculum Learning by Dynamic Instance Hardness [NIPS]
• Curriculum learning for multilevel budgeted combinatorial problems [NIPS]


Materials

PaperNote

My homepage contains notes(in Chinese) on papers I have read. I may update links of some good notes written by others.

My homepage notes links: Curriculum Learning PaperNote

Summary/Survey

Curriculum Learning schedule summary: Curriculum Learning schedule 总结