Andrew Jaegle

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 9 papers; trusts 613 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Jaegle trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Alex Graves
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Oriol Vinyals

Who trusts Andrew Jaegle overall

  1. Allan Jabri
  2. Derya Soydaner
  3. J. Acosta
  4. Robin Rombach
  5. Ting-Li Chen
  6. Zalán Borsos
  7. Jiasen Lu
  8. Philipp Lindenberger
  9. David J. Fleet
  10. Chien-Yao Wang

Papers from Andrew Jaegle's perspective

Ordered by how strongly the researchers Andrew Jaegle 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers