Christian M. Meyer

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 6 papers; trusts 148 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Christian M. Meyer trusts overall

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

  1. Chin-Yew Lin
  2. Julia Kreutzer
  3. Richard S. Sutton
  4. Diederik P. Kingma
  5. Artem Sokolov
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Richard Socher
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Christian M. Meyer overall

  1. Yang Gao
  2. Haotian Liu
  3. Florian Böhm
  4. Daniel M. Ziegler
  5. Sheng Shen
  6. Wei Zhao
  7. Ori Shapira
  8. Jianwei Yang
  9. Nisan Stiennon
  10. Jeff Wu

Papers from Christian M. Meyer's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers