Sam Thomson

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 9 papers; trusts 501 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Sam Thomson trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Kaiming He
  8. Yann LeCun
  9. Sepp Hochreiter
  10. J. Urgen Schmidhuber

Who trusts Sam Thomson overall

  1. Jordan Clive
  2. Xu Yang
  3. Hao Peng
  4. Noah A. Smith
  5. Sheng Zhang
  6. Leonardo F. R. Ribeiro
  7. Ioannis Konstas
  8. Jeffrey Flanigan
  9. Yoav Artzi
  10. Kevin Clark

Papers from Sam Thomson's perspective

Ordered by how strongly the researchers Sam Thomson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers