Peter G. Hawkins

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Peter G. Hawkins trusts overall

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

  1. Jesse Vig
  2. J. Demmel

Who trusts Peter G. Hawkins overall

  1. Yi Tay

Papers from Peter G. Hawkins's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Human-level control through deep reinforcement learning
  8. Large Scale Distributed Deep Networks
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning representations by back-propagating errors

Their papers