The Information Bottleneck (IB) framework provides a principled approach to learning compact yet predictive representations within neural networks. At its core, the method seeks to compress an input ...
The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.
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