Jakob Drachmann Havtorn

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 165 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob Drachmann Havtorn trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Yu-An Chung
  7. Alex Graves
  8. Yann LeCun
  9. Kaiming He
  10. Ruslan Salakhutdinov

Papers from Jakob Drachmann Havtorn's perspective

Ordered by how strongly the researchers Jakob Drachmann Havtorn 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers