Leonhard Hennig

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 115 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Leonhard Hennig trusts overall

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

  1. Richard Socher
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Christopher D. Manning
  6. Alec Radford
  7. Yuhao Zhang
  8. Ilya Sutskever
  9. Dongxu Zhang
  10. Alex Krizhevsky

Who trusts Leonhard Hennig overall

  1. Yonatan Belinkov
  2. Eduard H. Hovy
  3. Abhilasha Ravichander

Papers from Leonhard Hennig's perspective

Ordered by how strongly the researchers Leonhard Hennig trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers