Sam Cox

Nature Machine Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sam Cox trusts overall

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

  1. Daniel M. Lowe
  2. Philippe Schwaller
  3. Geoffrey E. Hinton
  4. Eric Zelikman
  5. Yoshua Bengio
  6. Diederik P. Kingma

Papers from Sam Cox's perspective

Ordered by how strongly the researchers Sam Cox 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. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Improving Language Understanding by Generative Pre-Training

Their papers