Laurel J. Orr

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Laurel J. Orr trusts overall

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

  1. Geoffrey E. Hinton
  2. Xu Chu
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Yann LeCun
  6. Percy Liang
  7. Alex Krizhevsky
  8. Ilya Sutskever
  9. Jacob Devlin
  10. Richard Socher

Papers from Laurel J. Orr's perspective

Ordered by how strongly the researchers Laurel J. Orr 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. ImageNet: A large-scale hierarchical image database
  9. GloVe: Global Vectors for Word Representation
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers