Ke Zhou

Artificial Intelligence · with Milic-Frayling · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Zhou trusts overall

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

  1. Ilya Sutskever
  2. Yla R. Tausczik
  3. Heather L. O'Brien
  4. Jana Machajdik
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Jason Aaron Edward Weston
  8. Hamid R. Sheikh
  9. Diederik P. Kingma
  10. Oriol Vinyals

Papers from Ke Zhou's perspective

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

Their papers