Tom Hosking

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tom Hosking trusts overall

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

  1. Ronald J. Williams
  2. Alex Graves
  3. Oriol Vinyals
  4. Ilya Sutskever
  5. Xinya Du
  6. Yoshua Bengio
  7. Dzmitry Bahdanau
  8. Geoffrey E. Hinton
  9. Philipp Koehn
  10. Diederik P. Kingma

Who trusts Tom Hosking overall

  1. Patrick Lewis
  2. Ludovic Denoyer
  3. Shiyue Zhang
  4. Sebastian Riedel
  5. Ananya B. Sai

Papers from Tom Hosking's perspective

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

Their papers