Towards robust and efficient multimodal representation learning and fusion
In the past few years, multimodal learning has made significant progress. The goal of multimodal learning is to create models that can relate and process data from various modalities. One of the challenges is to learn useful representations efficiently given the heterogeneity of the data. Another is...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182226 |