Tag: Feature learning
Label noise changes information in neural representations
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What the study found Hidden representations in neural networks change with label noise in ways that depend on how many parameters the network has. The study found a double descent pattern in the information content of these representations, and it found that overparameterized networks are robust to label noise. Why the authors say this matters…
