Oliver Richter

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Richter trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jimmy Ba
  5. Alex Krizhevsky
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Alec Radford
  9. Yann LeCun
  10. Kaiming He

Who trusts Oliver Richter overall

  1. Yu Zhang

Papers from Oliver Richter's perspective

Ordered by how strongly the researchers Oliver Richter 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers