Multi-task Learning Publications

Publications in Multi-task Learning

Explore the most influential research papers and scholarly works that have shaped Multi-task Learning. Use the concept filter below to focus on a specific sub-area of research.

Multi-task Learning

Publications

360K

Citations

Showing yearly statistics from 2000-2026.

Page 1

	Year	Citations
A Survey on Transfer Learning Sinno Jialin Pan, Qiang Yang IEEE Transactions on Knowledge and Data Engineering EngineeringMachine LearningKnowledge TransferData MiningPattern Recognition	2009	22.5K
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks Qilong Wang, Banggu Wu, Pengfei Zhu, Convolutional Neural NetworkEngineeringMachine LearningChannel AttentionImage Analysis	2020	7.5K
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Proceedings of the IEEE EngineeringMachine LearningData ScienceData MiningPattern Recognition	2020	5.8K
Adaptive Mixtures of Local Experts Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Neural Computation Artificial IntelligenceEngineeringMachine LearningAdaptive MixturesAi Foundation	1991	4.7K
Multimodal Machine Learning: A Survey and Taxonomy Tadas Baltrušaitis, Chaitanya Ahuja, Louis–Philippe Morency IEEE Transactions on Pattern Analysis and Machine Intelligence Artificial IntelligenceMultimodal MachineMultiple ModalitiesMachine LearningData Science	2018	3.8K
Learning without Forgetting Zhizhong Li, Derek Hoiem IEEE Transactions on Pattern Analysis and Machine Intelligence Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningEducation	2017	3.6K
Learning Transferable Features with Deep Adaptation Networks Mingsheng Long, Yue Cao, Jianmin Wang, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningData ScienceFeature Learning	2015	2.8K
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Roberto Cipolla, Yarin Gal, Alex Kendall Artificial IntelligenceConvolutional Neural NetworkMultiple Instance LearningEngineeringMachine Learning	2018	2.7K
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2017	2.4K
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Fisher Yu, Haofeng Chen, Xin Wang, EngineeringMachine LearningImage AnalysisData SciencePattern Recognition	2020	2.1K
A Survey on Multi-Task Learning Yu Zhang, Qiang Yang IEEE Transactions on Knowledge and Data Engineering Artificial IntelligenceNatural Language ProcessingMultiple Instance LearningEngineeringMachine Learning	2021	2K
Deep Mutual Learning Ying Zhang, Tao Xiang, Timothy M. Hospedales, Artificial IntelligenceEngineeringMachine LearningData ScienceKnowledge Distillation	2018	1.7K

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