Linking pages
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- What Explainable AI fails to explain (and how we fix that) | by Alvin Wan | Towards Data Science https://towardsdatascience.com/what-explainable-ai-fails-to-explain-and-how-we-fix-that-1e35e37bee07 1 comment
- GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
- Making Decision Trees Accurate Again: Explaining What Explainable AI Did Not – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2020/04/23/decisions/ 0 comments
Linked pages
- [1412.1897] Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images http://arxiv.org/abs/1412.1897 66 comments
- [1412.6572] Explaining and Harnessing Adversarial Examples http://arxiv.org/abs/1412.6572 1 comment
- Inceptionism: Going Deeper into Neural Networks – Google AI Blog https://research.googleblog.com/2015/06/inceptionism-going-deeper-into-neural.html 0 comments
- [1605.01713] Not Just a Black Box: Learning Important Features Through Propagating Activation Differences https://arxiv.org/abs/1605.01713 0 comments
- [1312.6034] Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps https://arxiv.org/abs/1312.6034 0 comments