Charles Burton Snell

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Charles Burton Snell trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ilya Sutskever
  6. Oriol Vinyals
  7. Yann LeCun
  8. Sergey Levine
  9. Kaiming He
  10. Alex Graves

Who trusts Charles Burton Snell overall

  1. Jesse Mu
  2. Robert Kirk
  3. Kumar Shridhar
  4. Yann Dubois
  5. Tomasz Korbak
  6. Xiang Lisa Li

Papers from Charles Burton Snell's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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