Nicola Rieke

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicola Rieke trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Reza Shokri
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Sepp Hochreiter
  9. H. Brendan McMahan
  10. Ross B. Girshick

Who trusts Nicola Rieke overall

  1. Georgios Kaissis
  2. Mingxia Liu
  3. Yue Tan
  4. Bo Li

Papers from Nicola Rieke's perspective

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

Their papers