Helena Webb

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Helena Webb trusts overall

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

  1. Brian Y. Lim
  2. Matthew D. Zeiler
  3. Rob Fergus
  4. Avanti Shrikumar
  5. Geoffrey E. Hinton
  6. Jost Tobias Springenberg
  7. Danding Wang
  8. Alex Krizhevsky
  9. Richard S. Sutton
  10. Sebastian Lapuschkin

Papers from Helena Webb's perspective

Ordered by how strongly the researchers Helena Webb 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Visualizing and Understanding Convolutional Networks
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers