Simultaneous Color Registration and Depth Completion of Point Clouds with Curriculum Learning by Juan Camilo Martinez, Ana María Montes, Cesar Marín, David Álvarez-Martínez

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Three-Dimensional Magnetotelluric Forward Modeling Using Multi-Task Deep Learning with Branch Point Selection by Fei Deng, Hongyu Shi, Peifan Jiang, Xuben Wang

“…Furthermore, through comparative analysis of feature map differences in various decoder layers of the network, we identify the optimal branching point for multi-task learning decoders. This enhances the feature extraction capabilities of the network and improves the prediction accuracy of forward modeling parameters. …”
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Sentences, entities, and keyphrases extraction from consumer health forums using multi-task learning by Tsaqif Naufal, Rahmad Mahendra, Alfan Farizki Wicaksono

“…Results Using F1-score at the chunk level, the inter-annotator agreements for SR, MER, and KE tasks were $$88{.}61\%, 64{.}83\%$$ 88.61 % , 64.83 % , and $$35{.}01\%$$ 35.01 % respectively. In single-task learning (STL) settings, the best performance for each task was achieved by different model, with $$\textrm{IndoNLU}_{\textrm{LARGE}}$$ IndoNLU LARGE obtained the highest average score. …”
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Multi-task deep learning for simultaneous prediction of steel purity and carbon capture rate using membrane separation technology in integrated steelmaking processes by Somboon Sukpancharoen, Pakon Sakdee, Natacha Phetyim, Rinlada Sirisangsawang, Chayut Sungsook

“…This work presents the first comparison of single-task learning (STL) versus multi-task learning (MTL) for simultaneous prediction of iron purity classification and carbon capture rates in membrane-integrated steelmaking processes. …”
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A Multi-Task Spatiotemporal Graph Neural Network for Transient Stability and State Prediction in Power Systems by Shuaibo Wang, Xinyuan Xiang, Jie Zhang, Zhuohang Liang, Shufang Li, Peilin Zhong, Jie Zeng, Chenguang Wang

“…Additionally, a Multi-Exit Network branch with confidence-based exit points enables efficient and reliable transient stability assessments. …”
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Multi task opinion enhanced hybrid BERT model for mental health analysis by Md. Mithun Hossain, Md. Shakil Hossain, M. F. Mridha, Mejdl Safran, Sultan Alfarhood

“…Most current models neglect the significance of integrating viewpoints in comprehending mental health in favor of single-task learning. To offer a more thorough knowledge of mental health, in this study, we present an Opinion-Enhanced Hybrid BERT Model (Opinion-BERT), built to handle multi-task learning for simultaneous sentiment and status categorization. …”
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