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Papers-2013.md

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December 2013

  • Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps - [Arxiv] [QA]
  • Bayesian machine learning via category theory - [Arxiv] [QA]

November 2013

  • Visualizing and Understanding Convolutional Networks - [Arxiv] [QA]
  • Rich feature hierarchies for accurate object detection and semantic segmentation - [Arxiv] [QA]

September 2013

  • Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation - [Arxiv] [QA]