A. Diaz-Papkovich

2018

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 A. Diaz-Papkovich trusts overall

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

  1. L. V. D. van der Maaten
  2. Wentian Li
  3. Geoffrey E. Hinton
  4. Shaun Purcell
  5. Yoav Gilad
  6. Fabian Pedregosa
  7. J. Cerise
  8. Leland McInnes

Who trusts A. Diaz-Papkovich overall

  1. Gerry Tonkin-Hill
  2. Dmitry Kobak
  3. John Lees

Papers from A. Diaz-Papkovich's perspective

Ordered by how strongly the researchers A. Diaz-Papkovich trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Visualizing Data using t-SNE
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Scikit-learn: Machine Learning in Python

Their papers