John P. Dickerson

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 88 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John P. Dickerson trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Ian J. Goodfellow
  5. Kaiming He
  6. Christian Szegedy
  7. Amir-Hossein Karimi
  8. Carl Doersch
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts John P. Dickerson overall

  1. Sarah Wiegreffe

Papers from John P. Dickerson's perspective

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

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

Their papers