UC Berkeley Uses a Causal Perspective to Formalise the Desiderata for Representation Learning | Synced
A research team from UC Berkeley takes a causal perspective on representation learning, formalizing non-spuriousness, efficiency and disentanglement representation learning desiderata using causal ...
Source: Synced | AI Technology & Industry Review
A research team from UC Berkeley takes a causal perspective on representation learning, formalizing non-spuriousness, efficiency and disentanglement representation learning desiderata using causal notions.