Tim Oates

Artificial Intelligence · 1999–2020

A researcher in the Science corpus: 7 papers; trusts 132 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Oates trusts overall

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

  1. Geoffrey E. Hinton
  2. Eamonn J. Keogh
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Hynek Hermansky
  7. Ilya Sutskever
  8. Diederik P. Kingma
  9. Quoc V. Le
  10. Kaiming He

Who trusts Tim Oates overall

  1. John Cristian Borges Gamboa
  2. Hassan Ismail Fawaz
  3. Foster J. Provost
  4. Rahul Katarya
  5. Gang Luo
  6. Zhiguang Wang
  7. Fazle Karim
  8. Gary M. Weiss
  9. Germain Forestier
  10. Yuntao Du

Papers from Tim Oates's perspective

Ordered by how strongly the researchers Tim Oates 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers