Proves learnability of ordered multiple smooth boundaries in pairwise binary classification via localized deep ReLU networks.
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Quantum models show greater robustness and less accuracy degradation than classical models in low-data transfer learning regimes.
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Statistical learnability of smooth boundaries via pairwise binary classification with deep ReLU networks
Proves learnability of ordered multiple smooth boundaries in pairwise binary classification via localized deep ReLU networks.
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Quantum Transfer Learning Shows Improved Robustness in Low-Data Regimes
Quantum models show greater robustness and less accuracy degradation than classical models in low-data transfer learning regimes.