Juri Opitz

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 154 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Juri Opitz trusts overall

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

  1. Sepp Hochreiter
  2. Jacob Devlin
  3. Richard Socher
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. J. Urgen Schmidhuber
  7. Gregory R. Koch
  8. Yoshua Bengio
  9. George A. Miller
  10. Ilya Sutskever

Who trusts Juri Opitz overall

  1. Timo Schick
  2. Hinrich Schütze
  3. Pengfei Liu
  4. Vid Kocijan
  5. Clément Rebuffel
  6. Weizhe Yuan
  7. Jinlan Fu
  8. Ana-Maria Cretu
  9. Thomas Scialom
  10. Michael A. Hedderich

Papers from Juri Opitz's perspective

Ordered by how strongly the researchers Juri Opitz 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. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers