A. Gordon

Artificial Intelligence · 2000–2020

A researcher in the Science corpus: 9 papers; trusts 73 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

Whom A. Gordon trusts overall

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

  1. David John Cameron MacKay
  2. Geoffrey E. Hinton
  3. Peter Sollich
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Sepp Hochreiter
  7. Radford M. Neal
  8. Ilya Sutskever
  9. Dexter Campbell Kozen
  10. Bernhard Schölkopf

Who trusts A. Gordon overall

  1. Adam Scibior
  2. Yura N. Perov
  3. Uri Alon
  4. David Tolpin
  5. Atilim Gunes Baydin
  6. Jan-Willem van de Meent
  7. Wonyeol Lee
  8. Burak Boyaci
  9. Angelika Kimmig
  10. Luís Caires

Papers from A. Gordon's perspective

Ordered by how strongly the researchers A. Gordon 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers