162 citations · 192 across the 10 of their papers we have counts for
3 papers · 1 filter
Iterative VAE as a predictive brain model for out-of-distribution generalization
Victor Boutin, Aimen Zerroug, Minju Jung +1
Our ability to generalize beyond training data to novel, out-of-distribution, image degradations is a hallmark of primate vision. The predictive brain, exemplified by predictive co…
Less-forgetful Learning for Domain Expansion in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
Expanding the domain that deep neural network has already learned without accessing old domain data is a challenging task because deep neural networks forget previously learned inf…
Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
A catastrophic forgetting problem makes deep neural networks forget the previously learned information, when learning data collected in new environments, such as by different senso…