Empirical comparison finds supervised training yields higher accuracy on convex l1 problems while unsupervised training provides better robustness to distribution shift on nonconvex l0 problems for deep-unfolded ISTA and IHT.
Model-based deep learning,
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Comparison between Supervised and Unsupervised Learning in Deep Unfolded Sparse Signal Recovery
Empirical comparison finds supervised training yields higher accuracy on convex l1 problems while unsupervised training provides better robustness to distribution shift on nonconvex l0 problems for deep-unfolded ISTA and IHT.