异常检测
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection （ICLR 2019）
Anomaly Detection With Multiple-Hypotheses Predictions （ICLR 2019）
DEEP LEARNING FOR ANOMALY DETECTION: A SURVEY
元学习
- Learning the metric space
(1) Siamese Networks
Siamese Neural Networks for One-shot Image Recognition (ICML 2015)
(2) Prototypical Networks
Prototypical Networks for Few-shot Learning (NIPS 2017)
Gaussian Prototypical Networks for Few-Shot Learning on Omniglot
META-LEARNING FOR SEMI-SUPERVISED FEW-SHOT CLASSIFICATION （ICLR 2018）
Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification (AAAI 2019)
Hierarchical Attention Prototypical Networks for Few-Shot Text Classification (EMNLP 2019)
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Learing the initializations
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Learning the optimizer
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Unsupervised Meta Learning
Learning Unsupervised Learning Rules
Unsupervised Learning via Meta Learning (ICLR 2019)