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Multimodal Learning With Transformers: A Survey

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
This paper is accepted by IEEE ...
Peng Xu, Xiatian Zhu, David
exaly   +4 more sources
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Deep Multimodal Complementarity Learning

IEEE Transactions on Neural Networks and Learning Systems, 2023
Complementarity plays a significant role in the synergistic effect created by different components of a complex data object. Complementarity learning on multimodal data has fundamental challenges of representation learning because the complementarity exists along with multiple modalities and one or multiple items of each modality.
Daheng Wang   +4 more
openaire   +2 more sources

Multimodal Learning Hub: A Tool for Capturing Customizable Multimodal Learning Experiences

2018
Studies in Learning Analytics provide concrete examples of how the analysis of direct interactions with learning management systems can be used to optimize and understand the learning process. Learning, however, does not necessarily only occur when the learner is directly interacting with such systems. With the use of sensors, it is possible to collect
Schneider, Jan   +3 more
openaire   +2 more sources

Multimodal learning analytics

Proceedings of the Third International Conference on Learning Analytics and Knowledge, 2013
New high-frequency data collection technologies and machine learning analysis techniques could offer new insights into learning, especially in tasks in which students have ample space to generate unique, personalized artifacts, such as a computer program, a robot, or a solution to an engineering challenge. To date most of the work on learning analytics
Sharon Oviatt   +2 more
openaire   +2 more sources

Multimodal Learning

PCE Official Conference Proceedings, 2022
Josefina Bengoechea, Alex Bell
openaire   +1 more source

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