Gustavo Pedro Ricou

Gradient interference and transfer in multi-task learning

I compare two tasks trained together on the same inputs, using a shared trunk and separate heads, with matched single-task networks. The aim is to understand when sharing helps or hurts and whether transfer can be predicted before training.