Elizabeth Clark

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 12 papers; trusts 926 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Elizabeth Clark trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Tomas Mikolov
  7. Kaiming He
  8. Oriol Vinyals
  9. Alex Graves
  10. Yann LeCun

Who trusts Elizabeth Clark overall

  1. Ananya B. Sai
  2. Kalpesh Krishna
  3. Mina Lee
  4. Asli Celikyilmaz
  5. Sebastian Gehrmann
  6. Piotr Wojciech Mirowski
  7. Noah A. Smith
  8. Percy Liang
  9. Reinald Kim Amplayo
  10. Saadia Gabriel

Papers from Elizabeth Clark's perspective

Ordered by how strongly the researchers Elizabeth Clark 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Gradient-based learning applied to document recognition

Their papers