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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

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