Binjun Zhu

Artificial Intelligence · 2017

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

Subfields

Whom Binjun Zhu trusts overall

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

  1. Yoon Kim
  2. Tomas Mikolov
  3. Nal Kalchbrenner
  4. Xiaodong Zhang
  5. Ilya Sutskever
  6. Jenny Rose Finkel
  7. Dominik Scherer
  8. Yoshua Bengio
  9. Geoffrey E. Hinton

Papers from Binjun Zhu's perspective

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

  1. Long Short-Term Memory
  2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers