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Yann LeCun & Randall Balestriero Optimize Deep Learning for Perception Tasks
Feb. 25, 2024, 1:41 a.m. | Synced
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In a new paper Learning by Reconstruction Produces Uninformative Features For Perception, researchers Randall Balestriero and Yann LeCun shed light on why reconstruction-based learning yields compelling reconstructed samples but falters in delivering competitive latent representations for perception.
The post Yann LeCun & Randall Balestriero Optimize Deep Learning for Perception Tasks first appeared on Synced.
ai artificial intelligence deep learning deep-neural-networks features lecun light machine learning machine learning & data science ml paper perception research researchers samples tasks technology yann yann lecun
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