Learning Paradigms

Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020 Automatic Curriculum Learning For Deep RL: A Short Survey IJCAI 2020 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NeurIPS 2020 Boosting Few-Shot Learning With Adaptive Margin Loss CVPR 2020 Bootstrapping neural processes NeurIPS 2020 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CoRL 2020 Class-Discriminative Feature Embedding For Meta-Learning based Few-Shot Classification WACV 2020 Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning IJCAI 2020 Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020 Continuous Meta-Learning without Tasks NeurIPS 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Curriculum Learning by Dynamic Instance Hardness NeurIPS 2020 Curriculum Learning for Natural Language Understanding ACL 2020 Curriculum Pre-training for End-to-End Speech Translation ACL 2020 Deep Metric Learning via Adaptive Learnable Assessment CVPR 2020 Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020 Discovering Reinforcement Learning Algorithms NeurIPS 2020 Distributed Kernel Ridge Regression with Communications JMLR 2020 Distributionally Robust Federated Averaging NeurIPS 2020 Diversity Transfer Network for Few-Shot Learning AAAI 2020 Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble EMNLP 2020 Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning Interspeech 2020 DPGN: Distribution Propagation Graph Network for Few-Shot Learning CVPR 2020