95 citations · 273 across the 34 of their papers we have counts for
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stat.ML2017★ 95 cited
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit, Ron Meir
In meta-learning an agent extracts knowledge from observed tasks, aiming to facilitate learning of novel future tasks. Under the assumption that future tasks are 'related' to previ…
stat.ML2017★ 5 cited
Joint auto-encoders: a flexible multi-task learning framework
Baruch Epstein, Ron Meir, Tomer Michaeli
The incorporation of prior knowledge into learning is essential in achieving good performance based on small noisy samples. Such knowledge is often incorporated through the availab…