Robert Stanforth

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 9 papers; trusts 173 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Stanforth trusts overall

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

  1. Alex Krizhevsky
  2. Nicholas Carlini
  3. Geoffrey E. Hinton
  4. Ian J. Goodfellow
  5. Diederik P. Kingma
  6. Christian Szegedy
  7. Yann LeCun
  8. Yoshua Bengio
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Robert Stanforth overall

  1. Huan Zhang
  2. Shiqi Wang
  3. Eric Wong
  4. Aditi Raghunathan
  5. Sven Gowal
  6. Sungyoon Lee
  7. Hadi Salman
  8. Jeremy M. Cohen
  9. Kaidi Xu
  10. Aounon Kumar

Papers from Robert Stanforth's perspective

Ordered by how strongly the researchers Robert Stanforth 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers