Johannes Bjerva

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Johannes Bjerva trusts overall

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

  1. Johan Bos
  2. Philipp Koehn
  3. Tomas Mikolov
  4. Diederik P. Kingma
  5. Xavier Glorot
  6. Chih-Jen Lin
  7. Yoshua Bengio
  8. Omer Levy
  9. Jimmy Ba
  10. Geoffrey E. Hinton

Who trusts Johannes Bjerva overall

  1. Lasha Abzianidze
  2. Ellie Pavlick
  3. John Wieting
  4. Dani Yogatama
  5. Mohit Bansal
  6. Hua He
  7. Phil Blunsom
  8. Kevin Gimpel
  9. Pushpendre Rastogi
  10. Chris Callison-Burch

Papers from Johannes Bjerva's perspective

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

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

Their papers