Ben Zhou

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 6 papers; trusts 63 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Zhou trusts overall

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

  1. Qiang Ning
  2. Jacob Devlin
  3. Matt Gardner
  4. Geoffrey E. Hinton
  5. Dan Roth
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Richard Socher
  9. Matthew E. Peters
  10. Ilya Sutskever

Who trusts Ben Zhou overall

  1. Swaroop Mishra
  2. Rujun Han
  3. Daniel Khashabi
  4. Qiang Ning
  5. Chadi Helwe
  6. Xiang Ren
  7. Matt Gardner
  8. Dan Roth
  9. Haoyu Wang
  10. Vered Shwartz

Papers from Ben Zhou's perspective

Ordered by how strongly the researchers Ben Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers