Meta-Learning

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning ICLR 2020 An Investigation of Few-Shot Learning in Spoken Term Classification Interspeech 2020 A Theoretical Analysis of the Number of Shots in Few-Shot Learning ICLR 2020 Attribute Propagation Network for Graph Zero-Shot Learning AAAI 2020 Automated Relational Meta-learning ICLR 2020 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels NeurIPS 2020 Bayesian Meta Sampling for Fast Uncertainty Adaptation ICLR 2020 Bayesian Optimization using Pseudo-Points IJCAI 2020 Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning NeurIPS 2020 Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS NeurIPS 2020 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CoRL 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 Continual learning with hypernetworks ICLR 2020 Continuous Meta-Learning without Tasks NeurIPS 2020 Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters NeurIPS 2020 Corruption-Tolerant Gaussian Process Bandit Optimization AISTATS 2020 Deep Streaming Label Learning ICML 2020 Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning EMNLP 2020 Differentiable Meta-Learning of Bandit Policies NeurIPS 2020 Differentially Private Meta-Learning ICLR 2020 Diversity Transfer Network for Few-Shot Learning AAAI 2020 Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning Interspeech 2020 Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020