Philipp Dufter

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Dufter trusts overall

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

  1. Philipp Koehn
  2. Franz Joseph Och
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Dzmitry Bahdanau
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Rico Sennrich
  9. Tomas Mikolov
  10. Jacob Devlin

Who trusts Philipp Dufter overall

  1. Zi-Yi Dou
  2. Xi Victoria Lin
  3. Katikapalli Subramanyam Kalyan
  4. Mengyao Cao
  5. Yanai Elazar
  6. Zewen Chi
  7. Chunting Zhou
  8. Oleh Shliazhko

Papers from Philipp Dufter's perspective

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

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

Their papers