Local self-supervised rules (CLAPP, LPL, layerwise SimCLR) succeed with the same data efficiency as supervised backprop.
These algorithms need no backward pass because they optimize separate objectives at each layer. The weight-updates can be written as Hebbian-like plasticity rules.
