LocalSignalAdaptivity: ProvableFeatureLearning inNeuralNetworksBeyondKernels
–Neural Information Processing Systems
Specifically,we prove that, forasimple data distribution with sparsesignal amidst high-variance noise, a simple convolutional neural network trained using stochastic gradient descent simultaneously learnstothreshold outthenoiseandfindthesignal.
Neural Information Processing Systems
Feb-11-2026, 06:56:18 GMT
- Country:
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.05)
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- Research Report (0.48)
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