John A. D. Aston

Artificial Intelligence · 2010–2018

A researcher in the Science corpus: 7 papers; trusts 107 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom John A. D. Aston trusts overall

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

  1. Diederik P. Kingma
  2. Tilmann Gneiting
  3. Paul Fearnhead
  4. Pierre Del Moral
  5. Damien Garcia
  6. Arnaud Doucet
  7. Frédéric Ferraty
  8. Eric R. Ziegel
  9. Yann LeCun
  10. Geoffrey E. Hinton

Who trusts John A. D. Aston overall

  1. Javier Zapata
  2. Charles Truong
  3. Sang-Yun Oh
  4. Laurent Oudre
  5. Alexander Petersen

Papers from John A. D. Aston's perspective

Ordered by how strongly the researchers John A. D. Aston 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. 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. 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