Carsten Eickhoff

Artificial Intelligence · 2011–2021

A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Carsten Eickhoff trusts overall

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

  1. Ilya Sutskever
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Oriol Vinyals
  5. Navid Rekabsaz
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Jacob Devlin
  9. Richard Socher
  10. Tomas Mikolov

Who trusts Carsten Eickhoff overall

  1. Jacob Steinhardt
  2. Sebastian Hofstätter
  3. David R. Cheriton
  4. Gerald Woo
  5. Zhuyun Dai

Papers from Carsten Eickhoff's perspective

Ordered by how strongly the researchers Carsten Eickhoff 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (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. ImageNet: A large-scale hierarchical image database
  9. Gradient-based learning applied to document recognition
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers