J. O’Connor

Artificial Intelligence · with Andreas · 2021

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom J. O’Connor trusts overall

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

  1. Yoshua Bengio
  2. Joshua Goodman
  3. Elena Voita
  4. Geoffrey E. Hinton
  5. Alec Radford
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Tomas Mikolov

Who trusts J. O’Connor overall

  1. Kawin Ethayarajh
  2. Tiago Pimentel
  3. Yejin Choi
  4. Ryan Teehan
  5. Swabha Swayamdipta
  6. Ryan Cotterell
  7. Miruna Clinciu
  8. Tongshuang Sherry Wu

Papers from J. O’Connor's perspective

Ordered by how strongly the researchers J. O’Connor trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers