Navdeep Gill

2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Navdeep Gill trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Marco Tulio Ribeiro
  2. Leo Breiman
  3. Eric R. Ziegel
  4. Sameer Singh
  5. Finale Doshi-Velez

Who trusts Navdeep Gill overall

  1. Nadia Burkart
  2. Marco F. Huber

Papers from Navdeep Gill's perspective

Ordered by how strongly the researchers Navdeep Gill trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  2. The Elements of Statistical Learning
  3. Towards A Rigorous Science of Interpretable Machine Learning
  4. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
  5. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. Going deeper with convolutions
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers