2 problems
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Progressive Feedforward Collapse conjecture for ResNet training
Progressive Feedforward Collapse conjecture. At the terminal phase of ResNet training, neural collapse emerges in the last-layer features. Before the effective depth, there exists…
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Good-quality critical points under parameter coverage for deep ResNets
Good-quality critical-point conjecture. If the parameter coverage condition is not satisfied in the sense that the displayed equality holds, then the critical point should be of “g…