Nico Daheim

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nico Daheim trusts overall

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

  1. Sebastian Ruder
  2. Geoffrey E. Hinton
  3. Jacob Devlin
  4. Yoshua Bengio
  5. Kilian Q. Weinberger
  6. Diederik P. Kingma
  7. Paweł Budzianowski
  8. Nils Reimers
  9. Ilya Sutskever
  10. Alex Krizhevsky

Papers from Nico Daheim's perspective

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

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

Their papers