Justin Whitehouse

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Justin Whitehouse trusts overall

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

  1. Ian J. Goodfellow
  2. Christian Szegedy
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Kaiming He
  7. Nicholas Carlini
  8. Yoshua Bengio
  9. Guy Katz
  10. Rüdiger Ehlers

Who trusts Justin Whitehouse overall

  1. Shiqi Wang
  2. Huan Zhang
  3. Changliu Liu

Papers from Justin Whitehouse's perspective

Ordered by how strongly the researchers Justin Whitehouse 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Intriguing properties of neural networks

Their papers