Lifelong generative modeling

作者: Jason Ramapuram , Magda Gregorova , Alexandros Kalousis

DOI: 10.1016/J.NEUCOM.2020.02.115

关键词:

摘要: Lifelong learning is the problem of learning multiple consecutive tasks in a sequential manner, where knowledge gained from previous tasks is retained and used to aid future …

参考文章(136)
E. D. Sontag, VC dimension of neural networks NATO advanced study institute on generalization in neural networks and machine learning. pp. 69- 95 ,(1998)
T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling, Never-ending learning Communications of The ACM. ,vol. 61, pp. 103- 115 ,(2018) , 10.1145/3191513
Yoshua Bengio, Kyle Kastner, Laurent Dinh, Aaron Courville, Kratarth Goel, Junyoung Chung, A recurrent latent variable model for sequential data neural information processing systems. ,vol. 28, pp. 2980- 2988 ,(2015)
Alexander V. Terekhov, Guglielmo Montone, J. Kevin O’Regan, Knowledge Transfer in Deep Block-Modular Neural Networks conference on biomimetic and biohybrid systems. pp. 268- 279 ,(2015) , 10.1007/978-3-319-22979-9_27
Avrim Blum, On-line Algorithms in Machine Learning Lecture Notes in Computer Science. pp. 306- 325 ,(1998) , 10.1007/BFB0029575
Online algorithms : The state of the art Lecture Notes in Computer Science. ,vol. 1442, ,(1998) , 10.1007/BFB0029561
Michael I Jordan, Zoubin Ghahramani, Tommi S Jaakkola, Lawrence K Saul, None, An introduction to variational methods for graphical models Machine Learning. ,vol. 37, pp. 105- 161 ,(1999) , 10.1023/A:1007665907178
Eric Eaton, Paul Ruvolo, ELLA: An Efficient Lifelong Learning Algorithm international conference on machine learning. pp. 507- 515 ,(2013)
Vladimir Naumovich Vapnik, Estimation of Dependences Based on Empirical Data ,(2010)