Wouter M. Kouw

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 885 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Wouter M. Kouw trusts overall

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

  1. Geoffrey E. Hinton
  2. Bernhard Schölkopf
  3. Yoshua Bengio
  4. Sinno Jialin Pan
  5. Alex Krizhevsky
  6. Radford M. Neal
  7. Kaiming He
  8. Alex Smola
  9. Diederik P. Kingma
  10. Boqing Gong

Who trusts Wouter M. Kouw overall

  1. Puneet Mishra
  2. Jean-Michel Roger
  3. Mingxia Liu
  4. Deepanway Ghosal
  5. Fei Ye
  6. Garrett Wilson
  7. Matthias Sperber
  8. Xiaofeng Liu
  9. Douglas N. Rutledge
  10. Hamed Alqahtani

Papers from Wouter M. Kouw's perspective

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

Their papers