Rong Jin

Artificial Intelligence · Neural Information Processing Systems · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Rong Jin trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Sepp Hochreiter
  5. Alex Krizhevsky
  6. Alec Radford
  7. Jacob Devlin
  8. Ilya Sutskever
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Rong Jin overall

  1. Qiang Xu
  2. Ailing Zeng
  3. Junchi Yan

Papers from Rong Jin's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (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. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers