Search Results for author: Blake Richards

Found 5 papers, 1 papers with code

Investigating Power laws in Deep Representation Learning

no code implementations11 Feb 2022 Arna Ghosh, Arnab Kumar Mondal, Kumar Krishna Agrawal, Blake Richards

Access to task relevant labels at scale is often scarce or expensive, motivating the need to learn from unlabelled datasets with self-supervised learning (SSL).

Representation Learning Scene Recognition +1

Towards Scaling Difference Target Propagation by Learning Backprop Targets

1 code implementation31 Jan 2022 Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake Richards, Yoshua Bengio

As such, it is important to explore learning algorithms that come with strong theoretical guarantees and can match the performance of backpropagation (BP) on complex tasks.

The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning

no code implementations NeurIPS 2021 Shahab Bakhtiari, Patrick Mineault, Timothy Lillicrap, Christopher Pack, Blake Richards

We show that when we train a deep neural network architecture with two parallel pathways using a self-supervised predictive loss function, we can outperform other models in fitting mouse visual cortex.

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