Chris Biemann

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 18 papers; trusts 320 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Biemann trusts overall

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

  1. Dekang Lin
  2. Geoffrey E. Hinton
  3. Tomas Mikolov
  4. Hinrich Schütze
  5. Yoshua Bengio
  6. Marco Baroni
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Michael Collins
  10. Alex Krizhevsky

Who trusts Chris Biemann overall

  1. Alexander Panchenko
  2. Oren Melamud
  3. Omer Levy
  4. Stefano Faralli
  5. Andreas Holzinger
  6. Aliaksei Severyn
  7. Sarah Kohail
  8. Ido Dagan
  9. Ergun Biçici
  10. Maria Pelevina

Papers from Chris Biemann's perspective

Ordered by how strongly the researchers Chris Biemann 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. 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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