Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
alignment metricsarchitectural biasesconvergent learningdistribution shiftinternal representationslayer-pair comparisonslinear regressionorthogonal procrustesorthogonal transformationsout-of-distribution imagespermutation matchingrepresentational basisrepresentational convergenceshared input statisticstraining epochsvision models
Understanding convergent learning