PETRA: Parallel End-to-end Training with Reversible Architectures

Stéphane Rivaud, Louis Fournier, Thomas Pumir +3

Reversible architectures have been shown to be capable of performing on par with their non-reversible architectures, being applied in deep learning for memory savings and generativ…