Lena Maier-Hein

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 15 papers; trusts 94 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Lena Maier-Hein trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Ross B. Girshick
  10. Karen Simonyan

Who trusts Lena Maier-Hein overall

  1. J. Urgen Schmidhuber
  2. Fabian Isensee
  3. Daniel Coelho de Castro
  4. Ozan Ciga
  5. Christian Wachinger
  6. Lei Cai

Papers from Lena Maier-Hein's perspective

Ordered by how strongly the researchers Lena Maier-Hein 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  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