Conference item
Uncertainty estimation with a VAE-classifier hybrid model
- Abstract:
-
We propose a hybrid model that combines a generative unit and a discriminative classifier to quantify uncertainty in a classification task. The representation learning capability in the VAE module allows our method to learn more useful and generalizable features and outperform other purely discriminative classifiers when training labels are limited. With proper statistical treatment, the probabilistic encoder in our VAE module offers a convenient mechanism to express uncertainty for out-of-di...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Host title:
- Proceedings of the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
- Pages:
- 3548-3552
- Publication date:
- 2022-04-27
- Event title:
- 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022)
- Event location:
- Singapore
- Event website:
- https://2022.ieeeicassp.org/
- Event start date:
- 2022-05-23
- Event end date:
- 2022-05-27
- DOI:
- EISSN:
-
1520-6149
- ISSN:
-
2640-3943
- EISBN:
- 9781665405409
- ISBN:
- 9781665405416
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1264330
- Local pid:
- pubs:1264330
- Deposit date:
- 2023-01-20
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2022
- Rights statement:
- © 2022 IEEE
- Notes:
- This paper was presented at the 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), 23rd-27th May 2022, Singapore.
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