Common semi-supervised method (SSL) Code Summary

Classic and up-to-date semi-supervised method (SSL) Code Summary

Recently, as a result of the experiment, a number of semi-supervised methods have been collected, listing a list:

1. NIPS semi-supervised Learning with Ladder Networks

　　　　Https://github.com/CuriousAI/ladder

2. NIPS Semi-supervised-learning-with-deep-generative-models

　　　　Https://github.com/wangxiao5791509/NIPS14_Semi-supervised-Learning-with-Deep-Generative-Models

3. Ijcai Parameter-free auto-weighted multiple Graph learning:a Framework for Multiview clustering and Semi-supervi SED classification.

　　　　　author The code has not been released

4. KDD large-scale Adaptive semi-supervised learning via Unified inductive and transductive Model.

　　　　Http://www.escience.cn/people/fpnie/papers.html

5. ICCV heterogeneous Image Features integration via multi-modal semi-supervised learning Model.

　　　　Http://www.escience.cn/people/fpnie/papers.html

6. Xiaojin Zhu 2005 (Label propagation) semi-supervised learning with Graphs

　　　　I realized this algorithm, link:____________________________.

7. ICCV (Dynamic label propagation) Dynamic label propagation for semi-supervised Multi-Class multi-l Abel Classification

Issue pr:dynamic label propagation for semi-supervised Multi-Class multi-label classification

http://ac.els-cdn.com/S0031320315003738/1-s2.0-S0031320315003738-main.pdf?_tid= 5369bc2a-438b-11e6-aa2e-00000aab0f01&acdnat=1467817816_57bf8e6adf8d10accc11fa2cb5ea01eb

I realized this algorithm, link:____________________________.

　　Not finished, to be continued ...

Common semi-supervised method (SSL) Code Summary