How Continual Learning works part1(Machine Learning)
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning(arXiv) Author : Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, Thomas Hofmann Abstract : n contrast to the natural capabilities of humans to learn new tasks in a sequential fashion, neural networks are known to suffer from catastrophic forgetting, where the…
How Continual Learning works part1(Machine Learning) Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning(arXiv) Author : Sanghwan Kim, Lorenzo Noci, Antonio Orvieto, Thomas Hofmann Abstract : n contrast to the natural capabilities of humans to learn new tasks in a sequential fashion, neural networks are known to suffer from catastrophic forgetting, where the… machine-learning
Continual Learning work part1Machine Learning Achieving Better StabilityPlasticity Tradeoff via Auxiliary Networks Continual LearningarXiv Author Sanghwan Kim Lorenzo Noci Antonio Orvieto Thomas Hofmann Abstract n contrast natural capability human learn new task sequential fashion neural network known suffer catastrophic forgetting the… machinelearning