Kan Ren

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Kan Ren trusts overall

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

  1. Weinan Zhang
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ruslan Salakhutdinov
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Stephen W. Carden
  10. Alex Graves

Who trusts Kan Ren overall

  1. Yueming Sun

Papers from Kan Ren's perspective

Ordered by how strongly the researchers Kan Ren 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers