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Meta-Learning

Meta-Learning Framework with Applications to Zero-Shot Time Series Forecasting
Can meta-learning discover generic ways of processing time series (TS) from a diverse dataset so as to greatly improve generalization …
International Conference on Learning Representations (ICLR),  2019.
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Bayesian Model-Agnostic Meta-Learning
Learning to infer Bayesian posterior from a few-shot dataset is an important step towards robust meta-learning due to the model …
Conference on Neural Information Processing Systems (NeurIPS),  2018.
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Bayesian Model-Agnostic Meta-Learning
Learning to infer Bayesian posterior from a few-shot dataset is an important step towards robust meta-learning due to the model …
Montreal AI Symposium (MAIS),  2018.
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