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@ -18,7 +18,9 @@ This is an on-going attempt to consolidate all interesting efforts in the area o
# Visualizing Preferred Stimuli
## Activation Maximization
* Visualizing higher-layer features of a deep network. _Erhan et al. 2009_ [pdf](https://www.researchgate.net/publication/265022827_Visualizing_Higher-Layer_Features_of_a_Deep_Network)
* Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. _Nguyen et al. 2016_ [code](https://github.com/Evolving-AI-Lab/synthesizing) | [pdf](anhnguyen.me/project/synthesizing)
* Understanding Neural Networks through Deep Visualization. _Yosinski et al. 2015_ [pdf](http://yosinski.com/media/papers/Yosinski__2015__ICML_DL__Understanding_Neural_Networks_Through_Deep_Visualization__.pdf) | [url](http://yosinski.com/deepvis)
* Multifaceted Feature Visualization: Uncovering the different types of features learned by each neuron in deep neural networks. _Nguyen et al. 2016_ [pdf](http://www.evolvingai.org/files/mfv_icml_workshop_16.pdf) | [code](https://github.com/Evolving-AI-Lab/mfv)
* Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. _Nguyen et al. 2016_ [pdf](anhnguyen.me/project/synthesizing) | [code](https://github.com/Evolving-AI-Lab/synthesizing)
* Plug and Play Generative Networks. _Nguyen et al. 2017_ [pdf](anhnguyen.me/project/ppgn/) | [code](https://github.com/Evolving-AI-Lab/ppgn)
* Feature Visualization. _Olah et al. 2017_ [url](https://distill.pub/2017/feature-visualization)