Abstract: Lifelong learning (LLL) defines a training paradigm that aims to continuously acquire and capture new concepts from a sequence of tasks without forgetting. Recently, dynamic expansion models ...
Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...