Factorizing Knowledge in Neural Networks

Author:

Yang XingyiORCID,Ye JingwenORCID,Wang XinchaoORCID

Publisher

Springer Nature Switzerland

Reference68 articles.

1. Achille, A., Soatto, S.: Emergence of invariance and disentanglement in deep representations. J. Mach. Learn. Res. 19(1), 1947–1980 (2018)

2. Bachman, P., Hjelm, R.D., Buchwalter, W.: Learning representations by maximizing mutual information across views. arXiv preprint arXiv:1906.00910 (2019)

3. Belghazi, M.I., et al.: MINE: mutual information neural estimation. arXiv preprint arXiv:1801.04062 (2018)

4. Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1798–1828 (2013)

5. Buciluǎ, C., Caruana, R., Niculescu-Mizil, A.: Model compression. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 535–541 (2006)

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