https://github.com/freed-wu/information-theory-homework

A backup of my homework. 信息论
https://github.com/freed-wu/information-theory-homework

homework ustc

Last synced: 5 months ago
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A backup of my homework. 信息论

• Host: GitHub
• URL: https://github.com/freed-wu/information-theory-homework
• Owner: Freed-Wu
• License: gpl-3.0
• Created: 2022-05-09T03:28:45.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2022-06-21T12:41:36.000Z (almost 4 years ago)
• Last Synced: 2024-05-14T00:33:48.813Z (about 2 years ago)
• Topics: homework, ustc
• Language: TeX
• Homepage:
• Size: 16.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# information-theory-homework

1. Tishby N, Pereira F C, Bialek W. The information bottleneck method[J], 2000.

2. Alemi A A, Fischer I, Dillon J V, et al. Deep variational information bottleneck[J]. arXiv preprint arXiv:1612.00410, 2016.

3. Alessandro Achille, Matteo Rovere, Stefano Soatto: Critical Learning Periods in Deep Neural Networks. CoRR abs/1711.08856 (2017)

4. Shwartz-Ziv R, Tishby N. Opening the black box of deep neural networks via information, 2017.

5. Alessandro Achille, Stefano Soatto: Information Dropout: Learning Optimal Representations Through Noisy Computation. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2897-2905(2018)

6. Alessandro Achille, Stefano Soatto: Emergence of Invariance and Disentanglement in Deep Representations. Journal of Machine Learning Research 19 (2018)

7. Saxe A M, Bansal Y, Dapello J, et al. On the information bottleneck theory of deep learning, 2018.

读书报告内容是，自己看一篇相关论文，然后总结一下，写一篇读书报告。

由于下周五端午节放假，且课程已经结束了，作业可以自己交到科技实验楼西楼708，或者下周三习题课时交一下，或者直接拍照片私聊发。