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Arxiv Doc - AutoML - Backpropagation - Brain vs Deep Learning - Catastrophic forgetting - Computational Neuroscience - Evolutionary algorithm - Hebb's rule - Hierarchical temporal memory - Information bottleneck method - Information theory AND Deep Learning - Jeff Hawkins - Multi-task learning - Neuroscience AND AI - NLP - Quoc V. Le - Slides - Sparse distributed memory -

Favoris ; Machine learning: techniques AND Neuroscience AND AI

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7 Documents

[2201.00042] Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

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2022-06-26 About

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation | Frontiers in Computational Neuroscience

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2021-03-19 About

[2003.03384] AutoML-Zero: Evolving Machine Learning Algorithms From Scratch

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2020-03-17 About

[1908.01580] The HSIC Bottleneck: Deep Learning without Back-Propagation

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2019-08-15 About

Towards bridging the gap between deep learning and brains

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2018-10-23 About

[1611.04228] Learning Sparse, Distributed Representations using the Hebbian Principle

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2017-04-28 About

How Mimicking Brain Function is Revolutionising NLP - Dataconomy

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2017-04-28 About