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03/30/2021
Conditional Meta-Learning of Linear Representations
Standard meta-learning for representation learning aims to find a common...
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08/25/2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning
Biased regularization and fine-tuning are two recent meta-learning appro...
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07/11/2020
Online Parameter-Free Learning of Multiple Low Variance Tasks
We propose a method to learn a common bias vector for a growing sequence...
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03/25/2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
We study the problem of learning-to-learn: inferring a learning algorith...
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03/21/2018