Tom Silver

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 6 papers; trusts 47 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Silver trusts overall

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

  1. Diederik P. Kingma
  2. Richard S. Sutton
  3. Geoffrey E. Hinton
  4. Sergey Levine
  5. Malte Helmert
  6. Blai Bonet
  7. Pieter Abbeel
  8. Yoshua Bengio
  9. Timothy P. Lillicrap
  10. Alex Krizhevsky

Who trusts Tom Silver overall

  1. Charles B. Schaff
  2. Jeffrey O. Zhang
  3. Pascal Klink
  4. Andy Zeng
  5. Matthew R. Walter
  6. Alexander Sax
  7. Sjoerd van Steenkiste
  8. Carlo D'Eramo

Papers from Tom Silver's perspective

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

Their papers