Felix Stahlberg

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 10 papers; trusts 1,706 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Felix Stahlberg trusts overall

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

  1. Yoshua Bengio
  2. Ilya Sutskever
  3. Rico Sennrich
  4. Geoffrey E. Hinton
  5. Kyunghyun Cho
  6. Diederik P. Kingma
  7. Oriol Vinyals
  8. Philipp Koehn
  9. Alex Krizhevsky
  10. Kaiming He

Who trusts Felix Stahlberg overall

  1. Danielle Saunders
  2. Bill Byrne
  3. Clara Meister
  4. Yue Cao
  5. Tao Ge
  6. Jiameng Gao
  7. Lijun Wu
  8. Xin Sun
  9. Francisco (Paco) Guzmán
  10. Andrea Madotto

Papers from Felix Stahlberg's perspective

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

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

Their papers