Joseph Aylett-Bullock

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joseph Aylett-Bullock trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Linda Wang
  6. Sepp Hochreiter
  7. Trevor J. Hastie
  8. Xin-She Yang
  9. Alex Krizhevsky
  10. Christian Szegedy

Who trusts Joseph Aylett-Bullock overall

  1. Aishwarya Kumar
  2. Wim Naudé
  3. Puneet Kumar Gupta

Papers from Joseph Aylett-Bullock's perspective

Ordered by how strongly the researchers Joseph Aylett-Bullock 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers