Reid Pryzant

Artificial Intelligence · with Jurafsky · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Reid Pryzant trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Christopher D. Manning
  4. Philipp Koehn
  5. Geoffrey E. Hinton
  6. Thang Luong
  7. Steven Bird
  8. Jimmy Ba
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Reid Pryzant overall

  1. Emily Sheng
  2. Rohit Sridhar
  3. Changhan Wang
  4. Ruibo Liu
  5. Andrew Silva
  6. Wenda Xu
  7. Kai-Wei Chang
  8. Xinyao Ma
  9. Ashish Sharma
  10. Diyi Yang

Papers from Reid Pryzant's perspective

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

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

Their papers