← Learning Paradigms
Machine Learning › Learning Paradigms ›

Curriculum Learning

136 directly classified papers

Papers per year

Papers

Self-paced Multi-view Co-training JMLR 2020
Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 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
Curriculum Pre-training for End-to-End Speech Translation ACL 2020
Curriculum Learning for Natural Language Understanding ACL 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation AAAI 2020
Self-Paced Learning for Neural Machine Translation EMNLP 2020
Curriculum Learning by Dynamic Instance Hardness NIPS 2020
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019
Self-Paced Contextual Reinforcement Learning CORL 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning ICML 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments CORL 2019
Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NIPS 2019
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors CVPR 2019
Learning by Asking Questions CVPR 2018
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management EMNLP 2018
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data ACL 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018
Mix & Match Agent Curricula for Reinforcement Learning ICML 2018