Alicia Parrish

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 11 papers; trusts 45 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Alicia Parrish trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Richard Socher
  7. Kaiming He
  8. Yann LeCun
  9. Jacob Devlin
  10. Alec Radford

Who trusts Alicia Parrish overall

  1. Richard Ngo
  2. Ahmed El-Kishky
  3. Sam Bowman
  4. Samuel R. Bowman
  5. Jiawen Deng
  6. Yi Tay
  7. Chenglei Si
  8. Alex Warstadt
  9. Harsh Trivedi
  10. Tianhao Shen

Papers from Alicia Parrish's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  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