Michael Kamp

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Kamp trusts overall

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

  1. L. Eon Bottou
  2. Yann LeCun
  3. Ryan T. McDonald
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Gideon S. Mann
  7. Ofer Dekel
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Yurii E. Nesterov

Who trusts Michael Kamp overall

  1. Guangxu Zhu
  2. David Leroy
  3. Farzin Haddadpour
  4. Hao Yu
  5. Yong Wang

Papers from Michael Kamp's perspective

Ordered by how strongly the researchers Michael Kamp 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers