Behavioral Convergence Without Representational Convergence: Persistent Training-History Dependence in Neural Networks

Neural networks trained toward the same final objective can reach similar predictive performance while retaining internal representations shaped by earlier training history. We study this effect using controlled sequential-training experiments in which paired convolutional networks start from identi