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Meta Learning Backpropagation And Improving It
Many concepts have been proposed for meta learning with neural networks ...
12/29/2020 ∙ by Louis Kirsch, et al. ∙
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Improving Generalization in Meta Reinforcement Learning using Learned Objectives
Biological evolution has distilled the experiences of many learners into...
10/09/2019 ∙ by Louis Kirsch, et al. ∙
14
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Gaussian Mean Field Regularizes by Limiting Learned Information
Variational inference with a factorized Gaussian posterior estimate is a...
02/12/2019 ∙ by Julius Kunze, et al. ∙
0
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Modular Networks: Learning to Decompose Neural Computation
Scaling model capacity has been vital in the success of deep learning. F...
11/13/2018 ∙ by Louis Kirsch, et al. ∙
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Transfer Learning for Speech Recognition on a Budget
End-to-end training of automated speech recognition (ASR) systems requir...
06/01/2017 ∙ by Julius Kunze, et al. ∙
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