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Title: | Open set recognition for deep continual learning | Authors: | Lu Minh Khuong | Keywords: | Deep continual learning | Issue Date: | 2021 | Abstract: | This thesis introduces a new approach of open set recognition that prevents catastrophic forgetting in deep continual learning. A single model combines a joint probabilistic encoder with a generative model and a linear classifier, all of which are shared among tasks that arrive in sequence. It is developed based on the Variational Auto Encoder (VAE) then wrap the encoder and decoder in a Wide Residual Network (Wide Res Net) to increase the model's accuracy |
URI(1): | http://epub.vgu.edu.vn/handle/dlibvgu/1275 |
Appears in Collections: | Computer Science (CS) |
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Open set recognition for deep continual learning.pdf | 6 MB | Adobe PDF |
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