Curriculum Learning

On a possibility of gradual model-learning PGM 2020 Self-Paced Learning for Neural Machine Translation EMNLP 2020 Self-paced Multi-view Co-training JMLR 2020 Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning IJCAI 2020 Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning Tasks AACL 2020 Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020 Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors CVPR 2019 Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019 CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning ICML 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NeurIPS 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019 MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning CoRL 2019 Self-Paced Contextual Reinforcement Learning CoRL 2019 Self-Paced Multi-Label Learning with Diversity ACML 2019 Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives ACL 2019 Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CoRL 2019 Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019 Automatic Goal Generation for Reinforcement Learning Agents ICML 2018 Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management EMNLP 2018 Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018 Diverse Ensemble Evolution: Curriculum Data-Model Marriage NeurIPS 2018 Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018 Learning by Asking Questions CVPR 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018