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Curriculum Learning

97 directly classified papers

Papers per year

Papers

Dynamic Curriculum Learning for Low-Resource Neural Machine Translation COLING 2020
Learning a Multi-Domain Curriculum for Neural Machine Translation ACL 2020
Self-Paced Contextual Reinforcement Learning CORL 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives ACL 2019
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning CORL 2019
Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018
Automatic Goal Generation for Reinforcement Learning Agents ICML 2018
Diverse Ensemble Evolution: Curriculum Data-Model Marriage NIPS 2018
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018
Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017
Reverse Curriculum Generation for Reinforcement Learning CORL 2017
Boosting Neural Machine Translation IJCNLP 2017
Curriculum Learning in Reinforcement Learning IJCAI 2017
Legal NERC with ontologies, Wikipedia and curriculum learning EACL 2017
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017
Curriculum Learning of Multiple Tasks CVPR 2015
Self-Paced Learning with Diversity NIPS 2014
How Do Humans Teach: On Curriculum Learning and Teaching Dimension NIPS 2011
Self-Paced Learning for Latent Variable Models NIPS 2010