Angelika Steger

Artificial Intelligence · 2002–2021

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Angelika Steger trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. J. Urgen Schmidhuber
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Yann LeCun
  9. Kaiming He
  10. Sepp Hochreiter

Who trusts Angelika Steger overall

  1. Chris C. N. Chu
  2. Konstantinos Panagiotou
  3. Gabriel Robins
  4. Yiu-Chung Wong

Papers from Angelika Steger's perspective

Ordered by how strongly the researchers Angelika Steger 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers