Ganbin Zhou

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ganbin Zhou trusts overall

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

  1. Alex Graves
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Kyunghyun Cho
  5. Dzmitry Bahdanau
  6. Geoffrey E. Hinton
  7. Susannah Young
  8. Oriol Vinyals
  9. Jason Williams
  10. Diederik P. Kingma

Who trusts Ganbin Zhou overall

  1. Qian Chen
  2. Minlie Huang
  3. Yichi Zhang
  4. Ruqing Zhang
  5. Wen Wang
  6. Yik-Cheung Tam
  7. Xiaoyan Zhu
  8. Zhijian Ou

Papers from Ganbin Zhou's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  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. 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