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19/11/2020
by Gunshi Gupta, Liam Paull

We propose La-MAML, a fast and online meta-learning algorithm for continual learning from streaming data, with inbuilt learning rate modulation.

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08/10/2020
by Danilo Bzdok

In a future of single-patient prediction from big biomedical data, it may become central that modeling for inference and modeling for prediction are related but importantly different.

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20/07/2020
by Joseph Paul Cohen, Lan Dao, Paul Morrison

Mila collaborates with Stony Brook Medicine. A team led by Joseph Paul Cohen builds a public dataset and models to predict severity of COVID-19 pneumonia. Initial results are promising and the tools are ready for more evaluation.

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02/07/2020
by Alex Lamb, Vikas Verma

Manifold Mixup is a simple and easy-to-implement regularization method that improves generalization of deep learning models.

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