Julien Mille

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 6 papers; trusts 550 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Julien Mille trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Jimmy Ba
  6. Alex Graves
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Sepp Hochreiter
  10. Ilya Sutskever

Who trusts Julien Mille overall

  1. Jun Liu
  2. Diogo Carbonera Luvizon
  3. Zehua Sun
  4. Yisheng Song

Papers from Julien Mille's perspective

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

Their papers