Julius Adebayo

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 8 papers; trusts 259 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Julius Adebayo trusts overall

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

  1. Geoffrey E. Hinton
  2. Matthew D. Zeiler
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Andrea Vedaldi
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Rob Fergus
  10. Kaiming He

Who trusts Julius Adebayo overall

  1. Sara Hooker
  2. Laura Rieger
  3. Giulia Vilone
  4. Dena F. Mujtaba
  5. José Jiménez-Luna
  6. Ulrich Matchi Aïvodji
  7. Been Kim
  8. Dumitru Erhan
  9. Sarah Tan
  10. Longo Luca

Papers from Julius Adebayo's perspective

Ordered by how strongly the researchers Julius Adebayo 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers