Se-Young Yun

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 211 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Se-Young Yun trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Yann LeCun
  8. Alec Radford
  9. Oriol Vinyals
  10. Ross B. Girshick

Papers from Se-Young Yun's perspective

Ordered by how strongly the researchers Se-Young Yun 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers