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Associative variational auto-encoder with distributed latent spaces and associators
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jo, Dae Ung | - |
dc.contributor.author | Lee, Byeongju | - |
dc.contributor.author | Choi, Jongwon | - |
dc.contributor.author | Yoo, Haanju | - |
dc.contributor.author | Choi, Jin Young | - |
dc.date.accessioned | 2023-04-19T07:32:46Z | - |
dc.date.available | 2023-04-19T07:32:46Z | - |
dc.date.created | 2021-07-20 | - |
dc.date.created | 2021-07-20 | - |
dc.date.issued | 2020-01 | - |
dc.identifier.citation | AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp.11197-11204 | - |
dc.identifier.uri | https://hdl.handle.net/10371/191000 | - |
dc.description.abstract | Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.In this paper, we propose a novel structure for a multimodal data association referred to as Associative Variational Auto-Encoder (AVAE). In contrast to the existing models using a shared latent space among modalities, our structure adopts distributed latent spaces for multi-modalities which are connected through cross-modal associators. The proposed structure successfully associates even heterogeneous modality data and easily incorporates the additional modality to the entire network via the associator. Furthermore, in our structure, only a small amount of supervised (paired) data is enough to train associators after training auto-encoders in an unsupervised manner. Through experiments, the effectiveness of the proposed structure is validated on various datasets including visual and auditory data. | - |
dc.language | 영어 | - |
dc.publisher | AAAI press | - |
dc.title | Associative variational auto-encoder with distributed latent spaces and associators | - |
dc.type | Article | - |
dc.citation.journaltitle | AAAI 2020 - 34th AAAI Conference on Artificial Intelligence | - |
dc.identifier.wosid | 000668126803080 | - |
dc.identifier.scopusid | 2-s2.0-85106404743 | - |
dc.citation.endpage | 11204 | - |
dc.citation.startpage | 11197 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Choi, Jin Young | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
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