Curriculum Learning

Curriculum Pre-training for End-to-End Speech Translation ACL 2020 Learning a Multi-Domain Curriculum for Neural Machine Translation ACL 2020 Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020 RTFM: Generalising to New Environment Dynamics via Reading ICLR 2020 Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020 A New Multi-choice Reading Comprehension Dataset for Curriculum Learning ACML 2019 Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NeurIPS 2019 Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation ACL 2019 Learning Words by Drawing Images CVPR 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision ICLR 2019 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 Extractive Summarization Using Multi-Task Learning with Document Classification EMNLP 2017 Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix ACL 2017 Lip Reading Sentences in the Wild CVPR 2017 Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks NeurIPS 2015 Self-Paced Learning with Diversity NeurIPS 2014 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 Self-Paced Learning for Latent Variable Models NeurIPS 2010