Can we match self-supervised backpropagation using local learning rules? We show it is possible in our new paper accepted by ICML. We achieve:
1. theoretical equivalence to BP in a controlled setup
2. new SOTA for local learning across image datasets
3. same performance as BP on multiple datasets
