Jacques Wainer

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jacques Wainer trusts overall

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

  1. Michael I. Jordan
  2. Radford M. Neal
  3. Geoffrey E. Hinton
  4. Tommi S. Jaakkola
  5. Yee Whye Teh
  6. Zoubin Ghahramani
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Jacques Wainer overall

  1. Yongxin Yang
  2. Timothy M. Hospedales
  3. Qiang Zhou

Papers from Jacques Wainer's perspective

Ordered by how strongly the researchers Jacques Wainer 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers