Markus Kettunen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 78 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Kettunen trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Nicholas Carlini
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Jimmy Ba
  8. Christian Szegedy
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Markus Kettunen overall

  1. Cihang Xie
  2. Jonathan T. Barron
  3. Kaihao Zhang
  4. Ben Mildenhall
  5. Mingxing Tan
  6. Wenqi Ren

Papers from Markus Kettunen's perspective

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

Their papers