Fetching the paper…
Reading the bibliography…
Deep Neural Networks (DNNs) are analyzed via the theoretical framework of the information bottleneck (IB) principle.
1990
Earlier work this paper cites.
T. Cover and J. Thomas, Elements of information theory . Wiley New York, 1991
1991
Earlier work this paper cites.
W. H. R. Equitz and T. M. Cover, “Successive refinement of information,” IEEE Transactions on Information Theory , vol. 37, no. 2, pp. 269–275, 1991
1991
Earlier work this paper cites.
Y. LeCun and Y. Bengio, “Convolutional networks for images, speech, and time series,” The handbook of brain theory and neural networks , vol. 3361, p. 310, 1995
1995
Earlier work this paper cites.
K. Rose, “Deterministic annealing for clustering, compression, classification, regression, and related optimization problems,” in Proceedings of the IEEE , 1998, pp. 2210–2239
1998
Earlier work this paper cites.
N. Tishby, F. C. Pereira, and W. Bialek, “The information bottleneck method,” in Proceedings of the 37-th Annual Allerton Conference on Communication, Control and Computing , 1999, pp. 368–377
1999
Cited alongside, same era.
R. Gilad-Bachrach, A. Navot, and N. Tishby, “An information theoretic tradeoff between complexity and accuracy,” in Proceedings of the COLT , 2003
2003
Cited alongside, same era.
G. Chechik, A. Globerson, N. Tishby, and Y. Weiss, “Information bottleneck for gaussian variables,” Journal of Machine Learning Research , vol. 6, pp. 165–188, 2005
2005
Cited alongside, same era.
G. E. Hinton and R. R. Salakhutdinov, “Reducing the dimensionality of data with neural networks,” Science , vol. 313, no. 5786, pp. 504–507, July 2006
2006
Cited alongside, same era.
Y. Bengio, “Learning Deep Architectures for AI,” Foundations and Trends in Machine Learning , vol. 2, no. 1, pp. 1–127, 2009
O. Shamir, S. Sabato, and N. Tishby, “Learning and generalization with the information bottleneck,” Theor. Comput. Sci. , vol. 411, no. 29-30, pp. 2696–2711, 2010
2010
Later among the works it cites.
A. Krizhevsky, I. Sutskever, and G. Hinton, “ImageNet classification with deep convolutional neural networks,” in Advances in Neural Information Processing Systems (NIPS) , 2012, pp. 1106–1114
2012
Later among the works it cites.
Y. Bengio, A. Courville, and P. Vincent, “Representation learning: A review and new perspectives,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 35, no. 8, pp. 1798–828, Aug. 2013
2013
Later among the works it cites.
2014
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2009
Cited alongside, same era.