no code implementations • 4 Nov 2021 • Seokjun Kim, Jaeeun Jang, Hyeoncheol Kim
In this paper, we introduce an imagine network that can simulate itself through artificial association networks.
no code implementations • 3 Nov 2021 • Seokjun Kim, Jaeeun Jang, Yeonju Jang, Seongyune Choi, Hyeoncheol Kim
We introduce memory association networks(MANs) that memorize and remember any data.
no code implementations • 2 Nov 2021 • Seokjun Kim, Jaeeun Jang, Hyeoncheol Kim
we introduce deductive association networks(DANs), a network that performs deductive reasoning.
no code implementations • 31 Oct 2021 • Seokjun Kim, Jaeeun Jang, Hyeoncheol Kim
Further, we propose a new neural data structure that can express all basic models of existing neural networks in a tree structure.
no code implementations • 29 Sep 2021 • Seokjun Kim, Jaeeun Jang, Heeseok Jung, Hyeoncheol Kim
Instead of using fixed sequence layers, we create a GT for each data and train GTNN according to the tree's structure.
no code implementations • 29 Sep 2021 • Jaeeun Jang, Seokjun Kim, Hyeoncheol Kim
To understand the internal behaviors of convolution neural networks (CNNs), many class activation mapping (CAM) based methods, which generate an explanation map by a linear combination of channels and corresponding weights, have been proposed.