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Multimodal learning has gained increasing importance across various fields, offering the ability to integrate data from diverse sources such as images, text, and personalized records, which are frequently observed in medical domains.
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Statistical analysis with missing data , volume 793
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F. Márquez and M. A. Yassa · 2019
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Condconv: Conditionally parameterized convolutions for efficient inference
B. Yang, G. Bender, Q. V. Le, and J. Ngiam · 2019
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Biased mixtures of experts: Enabling computer vision inference under data transfer limitations
A. Abbas and Y. Andreopoulos · 2020
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Using mixture of expert models to gain insights into semantic segmentation
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Integrating multimodal information in large pretrained transformers
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Integrating multimodal information in large pretrained transformers
W. Rahman, M. K. Hasan, S. Lee, A. Zadeh, C. Mao, L.-P. Morency, and E. Hoque · 2020
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Deep learning-based identification of genetic variants: application to alzheimer’s disease classification
T. Jo, K. Nho, P. Bice, A. J. Saykin, and A. D. N. Initiative · 2022
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Multimodal contrastive learning with limoe: the language-image mixture of experts
B. Mustafa, C. Riquelme, J. Puigcerver, R. Jenatton, and N. Houlsby · 2022
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Lte4g: Long-tail experts for graph neural networks
S. Yun, K. Kim, K. Yoon, and C. Park · 2022
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Y. Zhang, N. He, J. Yang, Y. Li, D. Wei, Y. Huang, Y. Zhang, Z. He, and Y. Zheng · 2022
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Mixture-of-experts with expert choice routing
Y. Zhou, T. Lei, H. Liu, N. Du, Y. Huang, V. Zhao, A. Dai, Z. Chen, Q. Le, and J. Laudon · 2022
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Taming sparsely activated transformer with stochastic experts
S. Zuo, X. Liu, J. Jiao, Y. J. Kim, H. Hassan, R. Zhang, J. Gao, and T. Zhao · 2022
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Multi-modal gated mixture of local-to-global experts for dynamic image fusion
B. Cao, Y. Sun, P. Zhu, and Q. Hu · 2023
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Machine learning with multimodal neuroimaging data to classify stages of alzheimer’s disease: a systematic review and meta-analysis
M. Odusami, R. Maskeliūnas, R. Damaševičius, and S. Misra · 2023
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Explainable multi-task learning for multi-modality biological data analysis
X. Tang, J. Zhang, Y. He, X. Zhang, Z. Lin, S. Partarrieu, E. B. Hanna, Z. Ren, H. Shen, Y. Yang, et al · 2023
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A deep learning model for alzheimer’s disease diagnosis based on patient clinical records
J. Ávila-Jiménez, V. Cantón-Habas, M. del Pilar Carrera-González, M. Rich-Ruiz, and S. Ventura · 2024
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