Apr 28, 2022 · Inspired by the process of learning new knowledge in human brains, we propose a Bayesian generative model for continual learning built on a fixed pre-trained ...

May 8, 2023 · We propose a Bayesian generative model for continual learning built on a fixed pre-trained feature extractor.

Inspired by the process of learning new knowledge in human brains, we propose a. Bayesian generative model for continual learning built on a fixed pre- trained ...

Sep 1, 2021 · The paper describes a novel continual learning method which uses a fixed pre-trained CNN feature extractor, the Gaussian mixture models to ...

Inspired by the process of learning new knowledge in human brains, we propose a Bayesian generative model for continual learning built on a fixed pre-trained ...

Sep 21, 2021 · We propose a Bayesian generative model for continual learning built on a fixed pre-trained feature extractor.

Inspired by the process of learning new knowledge in human brains, we propose a Bayesian generative model for continual learning built on a fixed pre-trained ...

This work proposes a simple yet effective fusion mechanism by including all the previously learned feature extractors into the intelligent model to reduce ...

Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor ... In this case, updating the intelligent system with data of new diseases ...

Zhiying Cui's 8 research works with 52 citations, including: Continual learning with Bayesian model based on a fixed pre-trained feature extractor.