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Curriculum Learning

202 papers

Papers per year

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Papers

Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives ACL 2019
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors CVPR 2019
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning ICML 2019
Diverse Ensemble Evolution: Curriculum Data-Model Marriage NIPS 2018
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018
Learning by Asking Questions CVPR 2018
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management EMNLP 2018
Mix & Match Agent Curricula for Reinforcement Learning ICML 2018
Automatic Goal Generation for Reinforcement Learning Agents ICML 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 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
Feedback Networks CVPR 2017
Legal NERC with ontologies, Wikipedia and curriculum learning EACL 2017
Self-paced Mixture of Regressions IJCAI 2017
Curriculum Learning in Reinforcement Learning IJCAI 2017
Boosting Neural Machine Translation IJCNLP 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
Self-Paced Learning for Long-Term Tracking CVPR 2013