Jie Ren

Artificial Intelligence · with Zhang · 2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Ren trusts overall

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

  1. Diederik P. Kingma
  2. Noam Shazeer
  3. Tianqi Chen
  4. Chien-chin Huang
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Alec Radford
  8. Hai Jin
  9. Mark Hildebrand
  10. Alex Krizhevsky

Who trusts Jie Ren overall

  1. Samyam Rajbhandari
  2. Artyom Eliseev
  3. Vijay Anand Korthikanti
  4. Jiarui Fang
  5. Chunting Zhou
  6. Wei Liu
  7. Shizhe Diao
  8. Yaowei Zheng
  9. Kai He
  10. Olatunji Ruwase

Papers from Jie Ren's perspective

Ordered by how strongly the researchers Jie Ren 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions

Their papers