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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 …
Boris N. Oreshkin
,
Dmitri Carpov
,
Nicolas Chapados
,
Yoshua Bengio
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 …
Taesup Kim
,
Jaesik Yoon
,
Sungwoong Kim
,
Yoshua Bengio
,
Sungjin Ahn
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 …
Taesup Kim
,
Jaesik Yoon
,
Ousmane Amadou Dia
,
Sungwoong Kim
,
Yoshua Bengio
,
Sungjin Ahn
Montreal AI Symposium (MAIS), 2018.
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