curriculum learning

Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN) WACV 2020 Jelly Bean World: A Testbed for Never-Ending Learning ICLR 2020 Learning a Multi-Domain Curriculum for Neural Machine Translation ACL 2020 Learning Dialog Policies from Weak Demonstrations ACL 2020 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020 Open Compound Domain Adaptation CVPR 2020 Progressive Adversarial Networks for Fine-Grained Domain Adaptation CVPR 2020 Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models AAAI 2020 RTFM: Generalising to New Environment Dynamics via Reading ICLR 2020 Safe Reinforcement Learning via Curriculum Induction NeurIPS 2020 Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation EMNLP 2020 Self-Paced Learning for Neural Machine Translation EMNLP 2020 Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning IJCAI 2020 Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location ICML 2020 SuperLoss: A Generic Loss for Robust Curriculum Learning NeurIPS 2020 Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation IJCAI 2020 Theory of Curriculum Learning, with Convex Loss Functions JMLR 2020 TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search NeurIPS 2020 Towards Accurate and Robust Domain Adaptation under Noisy Environments 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 A New Multi-choice Reading Comprehension Dataset for Curriculum Learning ACML 2019 Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors CVPR 2019 Autoencoder-Based Semi-Supervised Curriculum Learning for Out-of-Domain Speaker Verification Interspeech 2019