Fred Morstatter

Artificial Intelligence · 2013–2022

A researcher in the Science corpus: 17 papers; trusts 168 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Fred Morstatter trusts overall

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

  1. Geoffrey E. Hinton
  2. Andrew Y. Ng
  3. David M. Blei
  4. Liangjie Hong
  5. Lu Zhang
  6. Bradley Efron
  7. Yoshua Bengio
  8. Mustafa Sofean
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Fred Morstatter overall

  1. Alexandra Olteanu
  2. Jürgen Pfeffer
  3. Emilio Ferrara
  4. Carlos Castillo
  5. Ninareh Mehrabi
  6. Su Lin Blodgett
  7. Momin M. Malik
  8. Brent J. Hecht
  9. Katja Mayer
  10. Sarah Vieweg

Papers from Fred Morstatter's perspective

Ordered by how strongly the researchers Fred Morstatter 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers