David Thulke

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Thulke trusts overall

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

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

Papers from David Thulke's perspective

Ordered by how strongly the researchers David Thulke 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  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