Johannes Daxenberger

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Johannes Daxenberger trusts overall

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

  1. Chin-Yew Lin
  2. Jacob Devlin
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Richard Socher
  10. Ashish Vaswani

Who trusts Johannes Daxenberger overall

  1. Alexis Ross

Papers from Johannes Daxenberger's perspective

Ordered by how strongly the researchers Johannes Daxenberger 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. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Gradient-based learning applied to document recognition

Their papers