Papers by Ivonne Monter-Aldana
Dynamic Regularization in UDA for Transformers in Multimodal Classification (2023.acl-long)
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| Challenge: | Multimodal machine learning is a cutting-edge field that explores ways to combine information from multiple sources into models. |
| Approach: | They propose a multimodal BERT-ViT model that exploits weaker modality while regularizing the loss function. |
| Outcome: | The proposed model exploits weaker modality while regularizing the loss function. |