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Found 2 papers, 1 papers with code
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications
Neural networks, specifically deep convolutional neural networks, have achieved unprecedented performance in various computer vision tasks, but the rationale for the computations and structures of successful neural networks is not fully understood.
Inference via Sparse Coding in a Hierarchical Vision Model
Sparse coding has been incorporated in models of the visual cortex for its computational advantages and connection to biology.
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