Lecture
This lecture covers the concept of non conceptual knowledge systems, focusing on image-to-image translation using conditional adversarial networks, contrastive learning for unpaired image-to-image translation, video-to-video synthesis, self-supervised learning, difficulties in self-supervised learning, video prediction models, universal non-conceptual representations, and the existence of non-conceptual knowledge demonstrated by various encoders/decoders converging in universal intermodal representation spaces.