Mark Neumann

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 8 papers; trusts 235 researchers and is trusted by 832 researchers here, as inferred from the citation graph.

Subfields

Whom Mark Neumann trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Tomas Mikolov
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Richard Socher
  9. Yann LeCun
  10. Alex Graves

Who trusts Mark Neumann overall

  1. Percy Liang
  2. Samuel R. Bowman
  3. Mohit Bansal
  4. Iz Beltagy
  5. Yonatan Belinkov
  6. Kyle Lo
  7. Matt Gardner
  8. John Hewitt
  9. Rowan Zellers
  10. Jianfeng Gao

Papers from Mark Neumann's perspective

Ordered by how strongly the researchers Mark Neumann 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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