Bjarke Felbo

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Bjarke Felbo trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Diederik P. Kingma
  4. Sepp Hochreiter
  5. Geoffrey E. Hinton
  6. Alex Graves
  7. J. Urgen Schmidhuber
  8. Tomas Mikolov
  9. Oriol Vinyals
  10. Alex Krizhevsky

Who trusts Bjarke Felbo overall

  1. Juri Opitz
  2. Saif M. Mohammad
  3. Yanai Elazar
  4. Jeremy Howard
  5. Svetlana Kiritchenko
  6. Natasha Jaques
  7. Sebastian Ruder
  8. Hannah Rashkin
  9. Asma Ghandeharioun
  10. Sven Buechel

Papers from Bjarke Felbo's perspective

Ordered by how strongly the researchers Bjarke Felbo 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers