Tom Ko

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 14 papers; trusts 234 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Ko trusts overall

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

  1. Daniel Povey
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Vijayaditya Peddinti
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Andreas Stolcke
  8. Sepp Hochreiter
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Tom Ko overall

  1. Naoyuki Kanda
  2. Daniel Povey
  3. Vijayaditya Peddinti
  4. Roza Chojnacka
  5. Yusuke Fujita
  6. Jinyu Li
  7. David Snyder
  8. Sanjeev Khudanpur
  9. Vimal Manohar
  10. Shinji Watanabe

Papers from Tom Ko's perspective

Ordered by how strongly the researchers Tom Ko 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers