Minimizing Time Derivative of Loss for Efficient Generalization Enhancement With Applications to Nickel-Cobalt Alloy Defect Detection
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Deep neural networks (DNNs) achieve impressive performance, yet their effectiveness in complex and real-world settings remains limited by insufficient generalization. Recent studies analyze the geometry of the loss landscape, particularly identifying flat mini... ...
