Lorenz Kuhn

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Lorenz Kuhn trusts overall

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

  1. Yarin Gal
  2. Geoffrey E. Hinton
  3. Andrey Malinin
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Richard Socher
  8. Ilya Sutskever
  9. Yann LeCun
  10. Mandar Joshi

Who trusts Lorenz Kuhn overall

  1. Zhen Lin
  2. Zhibin Gou
  3. Chao Chen
  4. Shubhendu Trivedi
  5. Q. Liao
  6. Zhihong Shao

Papers from Lorenz Kuhn's perspective

Ordered by how strongly the researchers Lorenz Kuhn 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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