Illia Polosukhin

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 102 researchers and is trusted by 1,639 researchers here, as inferred from the citation graph.

Subfields

Whom Illia Polosukhin trusts overall

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

  1. Alex Graves
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Jacob Devlin
  7. Tomas Mikolov
  8. Lukasz Kaiser
  9. Oriol Vinyals
  10. Yann LeCun

Who trusts Illia Polosukhin overall

  1. Mohit Bansal
  2. Xu Tan
  3. Yoshua Bengio
  4. Yi Tay
  5. Percy Liang
  6. Jianfeng Gao
  7. Zhe Gan
  8. Quoc V. Le
  9. Kyunghyun Cho
  10. Graham Neubig

Papers from Illia Polosukhin's perspective

Ordered by how strongly the researchers Illia Polosukhin 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. Learning Multiple Layers of Features from Tiny Images

Their papers