Christina Greer

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christina Greer trusts overall

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

  1. Alexandra Chouldechova
  2. Vinodkumar Prabhakaran
  3. Geoffrey E. Hinton
  4. Moritz Hardt
  5. Yoshua Bengio
  6. Kaiming He
  7. Solon Barocas
  8. Gerlof J. Bouma
  9. Emily M. Bender
  10. Alex Krizhevsky

Papers from Christina Greer's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Microsoft COCO: Common Objects in Context
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers