Sung Jun Cheon

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sung Jun Cheon trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jimmy Ba
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Alex Graves
  7. Yann LeCun
  8. Ilya Sutskever
  9. Sergey Ioffe
  10. Jaehyeon Kim

Who trusts Sung Jun Cheon overall

  1. Dongchao Yang
  2. Xu Tan

Papers from Sung Jun Cheon's perspective

Ordered by how strongly the researchers Sung Jun Cheon 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers