Edward Wagstaff

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Edward Wagstaff trusts overall

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

  1. Diederik P. Kingma
  2. Charles Ruizhongtai Qi
  3. Geoffrey E. Hinton
  4. Laurent Dinh
  5. Max Welling
  6. Kaiming He
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Oriol Vinyals

Who trusts Edward Wagstaff overall

  1. Petar Velickovic

Papers from Edward Wagstaff's perspective

Ordered by how strongly the researchers Edward Wagstaff 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers