Tom Ryder

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Ryder trusts overall

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

  1. Diederik P. Kingma
  2. Danilo Jimenez Rezende
  3. Yoshua Bengio
  4. Bjørn Eraker
  5. Geoffrey E. Hinton
  6. Max Welling
  7. Gareth O. Roberts
  8. David M. Blei
  9. Radford M. Neal
  10. Jimmy Ba

Who trusts Tom Ryder overall

  1. Belinda Tzen
  2. Gabriele Abbati
  3. Maxim Raginsky

Papers from Tom Ryder's perspective

Ordered by how strongly the researchers Tom Ryder 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers