Tom Young

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 735 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Young trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Tomas Mikolov
  5. Richard Socher
  6. Diederik P. Kingma
  7. Oriol Vinyals
  8. Alex Krizhevsky
  9. Jason Aaron Edward Weston
  10. Alex Graves

Who trusts Tom Young overall

  1. Myle Ott
  2. Tianxing He
  3. Bing Liu
  4. Xiao Liu
  5. W. Zhang
  6. H. H. Do
  7. Zhuangdi Zhu
  8. Jingzhao Zhang
  9. Thiago Akio Nakamura
  10. Lisa Bauer

Papers from Tom Young's perspective

Ordered by how strongly the researchers Tom Young 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers