VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1275| Title: | Open set recognition for deep continual learning | Authors: | Lu Minh Khuong | Keywords: | Deep continual learning | Issue Date: | 2021 | Publisher: | Vietnamese-German University | 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 | Rights: | Attribution-NonCommercial 4.0 International |
| Appears in Collections: | Computer Science (CS) |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Open set recognition for deep continual learning.pdf | 6 MB | Adobe PDF |
Page view(s)
289
checked on Oct 16, 2025
Download(s)
113
checked on Oct 16, 2025
Google ScholarTM
Check
This item is licensed under a Creative Commons License