The DOI matches its Crossref record; 236 of the 236 references it cites were found in a registry or an index.
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions
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“Concurrently, the integration of expert capacity management strategies, emerges as a crucial approach in MoE models to regulate the processing abilities of individual experts by setting thresholds on the number of tokens each can handle, effectively averting bottlenecks and ensuring a more efficient and streamlined model operation, leading to improved training processes and heightened performance”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [303]
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Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., & Sun, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.90 · Cited by 235,474
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Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018) · arXiv · doi:10.48550/arxiv.1810.04805 · Cited by 73,173
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Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803
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Pennington, J., Socher, R., & Manning, C. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.3115/v1/d14-1162 · Cited by 34,071
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Research works printed but not linked: 3
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- Cheng, 2016, Semi-supervised multimodal deep learning for RGB-D object recognition, IJCAI Int. Jt. Conf. Artif. Intell. 2016-Janua, 3345
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Sandhu, A. K., & Agrawal, R. (2026) · Lecture notes in networks and systems · doi:10.1007/978-981-95-7238-0_18
A Collaborative Framework for Small-Scale Public Opinion Analysis
Xu, Y. (2026) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd68734.2026.11582495
Elhadi, A. O., Darwish, S. M., & Mahdi, M. A. (2026) · Computers · doi:10.3390/computers15080523
CNN-LSTM detection and short-term prediction of concrete crack severity
Tang, J., Guo, G., Wang, T., Wang, Q., Meng, Q., & Ni, S. (2026) · Proceedings of the Institution of Civil Engineers - Construction Materials · doi:10.1680/jcoma.25.00109
Sun, X., Shi, J., Meng, W., & Zhang, X. (2026) · International Conference on Computer Science and Technologies in Education (CSTE) · doi:10.1109/cste69562.2026.11649713
Sran, M. S., Ramanna, S., & Kotecha, K. V. (2026) · Algorithms · doi:10.3390/a19090743
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Interpreting Multimodal Gender Bias Scores Using Explainable AI
Gunasinghe, S., Hettiarachchi, M., Haddela, P. S., Amarakoon, D., Liyanage, N., & Shyamalee, T. (2026) · International Conference on Advanced Computer Information Technologies (ACIT) · doi:10.1109/acit69831.2026.11700102
GCN-FinBERT-LSTM: a graph convolutional deep fusion model for multimodal stock market prediction
Chen, P., & Corizzo, R. (2026) · International Journal of Data Science and Analytics · doi:10.1007/s41060-026-01301-8
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Li, Y., Liu, C., & Chong, W. O. (2026) · Advanced Engineering Informatics · doi:10.1016/j.aei.2026.105417
Metadata
- Authors
- Rahate, A., Walambe, R., Ramanna, S., & Kotecha, K.
- Affiliations
- Symbiosis International University (IN)
- The University of Winnipeg (CA)
- Corresponding author
- Kotecha, Ketan
- Venue
- Information Fusion
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 81
- Pages
- 203-239
- ISSN
- 1566-2535 (ISSN-L)
- OpenAlex
- W3184679245
- Cited by
- 214
- References
- 226
- Citations by year
- 2026: 31 · 2025: 70 · 2024: 49 · 2023: 44 · 2022: 20
- FWCI
- 10.16
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Information Fusion (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Keywords
- multimodal learning, cross-modal knowledge transfer, missing modalities, cross-modal representation learning, cross-modal alignment, cross-modal fusion, multi-view learning
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