Rui Shu

Artificial Intelligence · with Ermon · 2017–2019

A researcher in the Science corpus: 9 papers; trusts 485 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Rui Shu trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yann LeCun
  6. Kaiming He
  7. Ilya Sutskever
  8. Ian J. Goodfellow
  9. Radford M. Neal
  10. Max Welling

Who trusts Rui Shu overall

  1. Yanchao Yang
  2. Jian Liang
  3. Francesco Locatello
  4. Bernhard Schölkopf
  5. Chelsea Finn
  6. Yassine Ouali
  7. Kaiyang Zhou
  8. Xiaohua Zhai
  9. Fengchun Qiao
  10. Ben Athiwaratkun

Papers from Rui Shu's perspective

Ordered by how strongly the researchers Rui Shu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers