Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks

Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas

Empirical evidence shows that deep vision networks often represent concepts as directions in latent space with concept information written along directional components in the vecto…