Iris Zhang

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 200 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Iris Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Yann LeCun
  9. Ilya Sutskever
  10. Jimmy Ba

Who trusts Iris Zhang overall

  1. Jaemin Cho
  2. Zhe Gan
  3. Tal Linzen
  4. Wenhui Wang
  5. Pengchuan Zhang
  6. Chenliang Li
  7. Hao Hao Tan
  8. Haiyang Xu
  9. Ming Yan
  10. Mohit Bansal

Papers from Iris Zhang's perspective

Ordered by how strongly the researchers Iris Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers