Danish Contractor

Artificial Intelligence · 2011–2023

A researcher in the Science corpus: 9 papers; trusts 58 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Danish Contractor trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Christian Szegedy
  8. Sepp Hochreiter
  9. Oriol Vinyals
  10. Yann LeCun

Who trusts Danish Contractor overall

  1. Ankur P. Parikh
  2. Minlie Huang
  3. Jason Aaron Edward Weston
  4. Panupong Pasupat
  5. Ran Tian
  6. Deng Cai
  7. Andrea Madotto
  8. Mingda Chen
  9. Min Yang
  10. Yu Wu

Papers from Danish Contractor's perspective

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

Their papers