1. [X] Born Again Neural Networks - distilling a teacher model to a student model with an identical architecture, the student outperforms the teacher (using a dense net)\cite{furlanelloborn}
\cite{Doersch_2017}

2017

  1. [x] CNN Fixations: An unraveling approach to visualize the discriminative image regions \cite{Mopuri2017}
  2. [x] Visualizing Deep Neural Network Decisions: Prediction Difference Analysis \cite{Zintgraf2017}
  3. [x] Soft Proposal Networks for Weakly Supervised Object Localization \cite{Zhu2017}
  4. [x] Self-supervised Learning for Spinal MRIs \cite{Jamaludin_2017}
  5. [x] Visual Feature Attribution using Wasserstein GANs \cite{1711.08998}
  6. [x] Non-local Neural Networks \cite{1711.07971} - facebookAI - Achieves best results in video classification, object segmentation and pose estimation -  Reddit 
  7. [x] Distilling a Neural Network Into a Soft Decision Tree \cite{1711.09784} - describes a way of using a trained neural net to create a type of soft decision tree that generalizes better than one learned directly from the training data - Reddit

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