Tobias Domhan

Artificial Intelligence · with Hieber · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 252 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Tobias Domhan trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Jimmy Ba
  4. Geoffrey E. Hinton
  5. Rico Sennrich
  6. Dzmitry Bahdanau
  7. Ilya Sutskever
  8. Kyunghyun Cho
  9. Sepp Hochreiter
  10. Alex Krizhevsky

Who trusts Tobias Domhan overall

  1. Gongbo Tang
  2. Felix Stahlberg
  3. Joan Puigcerver
  4. Chenhui Chu
  5. Qiang Wang
  6. Kenji Imamura
  7. Rico Sennrich
  8. Hirofumi Inaguma
  9. Mathias Müller
  10. David Vilar

Papers from Tobias Domhan's perspective

Ordered by how strongly the researchers Tobias Domhan 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers