Paul Barham

Artificial Intelligence · 2004–2019

A researcher in the Science corpus: 8 papers; trusts 8 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Barham trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. X. Zhang
  6. Jeff Bezanson
  7. Alex Graves
  8. Ilya Sutskever
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts Paul Barham overall

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Quoc V. Le
  4. Liang-Chieh Chen
  5. Sergey Levine
  6. Yi Yang
  7. Bo Li
  8. Ruslan Salakhutdinov
  9. Dacheng Tao
  10. Barret Zoph

Papers from Paul Barham's perspective

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

Their papers