Continual Multiview Task Learning via Deep Matrix Factorization

作者: Gan Sun , Yang Cong , Yulun Zhang , Guoshuai Zhao , Yun Fu

DOI: 10.1109/TNNLS.2020.2977497

关键词:

摘要: … This section shows how to continually learn multiview tasks via a deep matrix factorization technique. We first propose how to deeply decompose the model parameter of each view and …

参考文章(35)
Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi, Shared structure learning for multiple tasks with multiple views european conference on machine learning. pp. 353- 368 ,(2013) , 10.1007/978-3-642-40991-2_23
Eric Eaton, Paul Ruvolo, ELLA: An Efficient Lifelong Learning Algorithm international conference on machine learning. pp. 507- 515 ,(2013)
Sebastian Thrun, Joseph O'Sullivan, Discovering Structure in Multiple Learning Tasks: The TC Algorithm. international conference on machine learning. pp. 489- 497 ,(1996)
Geoffrey Hinton, Oriol Vinyals, Jeff Dean, Distilling the Knowledge in a Neural Network arXiv: Machine Learning. ,(2015)
Hal Daume, Abhishek Kumar, Learning Task Grouping and Overlap in Multi-task Learning international conference on machine learning. pp. 1723- 1730 ,(2012)
E. Elhamifar, R. Vidal, Sparse Subspace Clustering: Algorithm, Theory, and Applications IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 35, pp. 2765- 2781 ,(2013) , 10.1109/TPAMI.2013.57
Yu. Nesterov, Gradient methods for minimizing composite functions Mathematical Programming. ,vol. 140, pp. 125- 161 ,(2013) , 10.1007/S10107-012-0629-5
Pinghua Gong, Jieping Ye, Changshui Zhang, Robust multi-task feature learning Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12. ,vol. 2012, pp. 895- 903 ,(2012) , 10.1145/2339530.2339672
Chang Xu, Dacheng Tao, Chao Xu, Multi-View Intact Space Learning IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 37, pp. 2531- 2544 ,(2015) , 10.1109/TPAMI.2015.2417578