Thomas Diggelmann

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Diggelmann trusts overall

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

  1. Yixin Nie
  2. Stephen E. Robertson
  3. Nils Reimers
  4. Leland McInnes
  5. Jeff Johnson
  6. Alexander Hermans
  7. Zhenghao Liu
  8. James Thorne
  9. Zhenzhong Lan
  10. Iryna Gurevych

Who trusts Thomas Diggelmann overall

  1. James Thorne
  2. Rami Aly
  3. Zhijiang Guo

Papers from Thomas Diggelmann's perspective

Ordered by how strongly the researchers Thomas Diggelmann 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. 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