Probabilistic model-agnostic meta-learning

C Finn, K Xu, S Levine - Advances in neural information …, 2018 - proceedings.neurips.cc
Meta-learning for few-shot learning entails acquiring a prior over previous tasks and
experiences, such that new tasks be learned from small amounts of data. However, a critical …
被引用次数：815 相关文章

Probabilistic model-agnostic meta-learning

C Finn, K Xu, S Levine - … of the 32nd International Conference on Neural …, 2018 - dl.acm.org
Meta-learning for few-shot learning entails acquiring a prior over previous tasks and
experiences, such that new tasks be learned from small amounts of data. However, a critical …

Probabilistic Model-Agnostic Meta-Learning

C Finn, K Xu, S Levine - arXiv preprint arXiv:1806.02817, 2018 - arxiv.org
Meta-learning for few-shot learning entails acquiring a prior over previous tasks and
experiences, such that new tasks be learned from small amounts of data. However, a critical …

Probabilistic Model-Agnostic Meta-Learning

C Finn, K Xu, S Levine - pdfs.semanticscholar.org
Chelsea Finn*, Kelvin Xu*, Sergey Levine Page 1 Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn*, Kelvin Xu*, Sergey Levine *equal contribution Page 2 Deep learning requires …

Probabilistic Model-Agnostic Meta-Learning

C Finn, K Xu, S Levine - arXiv e-prints, 2018 - ui.adsabs.harvard.edu
Meta-learning for few-shot learning entails acquiring a prior over previous tasks and
experiences, such that new tasks be learned from small amounts of data. However, a critical …
[PDF] neurips.cc

[PDF][PDF] Probabilistic Model-Agnostic Meta-Learning

C Finn, K Xu, S Levine - papers.neurips.cc
Meta-learning for few-shot learning entails acquiring a prior over previous tasks and
experiences, such that new tasks be learned from small amounts of data. However, a critical …

Probabilistic Model-Agnostic Meta-Learning

C Finn, K Xu, S Levine - Advances in Neural Information …, 2018 - proceedings.neurips.cc
Meta-learning for few-shot learning entails acquiring a prior over previous tasks and
experiences, such that new tasks be learned from small amounts of data. However, a critical …

Probabilistic Model-Agnostic Meta-Learning

C Finn, K Xu, S Levine - ai.stanford.edu
Chelsea Finn*, Kelvin Xu*, Sergey Levine Page 1 Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn*, Kelvin Xu*, Sergey Levine *equal contribution Page 2 Deep learning requires …

Probabilistic Model-Agnostic Meta-Learning

C Finn, K Xu, S Levine - ai.stanford.edu
Chelsea Finn*, Kelvin Xu*, Sergey Levine Page 1 Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn*, Kelvin Xu*, Sergey Levine *equal contribution Page 2 Deep learning requires …