Evolution of Neural Networks
Simon discusses the evolution of representations in neural networks and the creation of the centered kernel alignment metric. Yannic highlights the importance of self-similarity matrices in understanding neural network evolution and the significance of identifying redundant information for efficient learning.In this clip
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Machine Learning Street Talk (MLST)
#032- Simon Kornblith / GoogleAI - SimCLR and Paper Haul!
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