François Pachet

Computer Vision and Pattern Recognition · 2002–2017

A researcher in the Science corpus: 7 papers; trusts 224 researchers and is trusted by 52 researchers here, as inferred from the citation graph.

Subfields

Whom François Pachet trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Alex Krizhevsky
  5. J. Urgen Schmidhuber
  6. Diederik P. Kingma
  7. Sepp Hochreiter
  8. Alex Graves
  9. Kaiming He
  10. Dana Ron

Who trusts François Pachet overall

  1. Eitan Wilf
  2. Jean-Julien Aucouturier
  3. Kai Ni
  4. Cheng-Zhi Anna Huang
  5. Zhouyu Fu
  6. Hao-Wen Dong
  7. Nicolas Scaringella
  8. Li-Chia Yang
  9. Yi-Hsuan Yang
  10. Michael I. Mandel

Papers from François Pachet's perspective

Ordered by how strongly the researchers François Pachet 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers