Hyung-Seok Oh

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyung-Seok Oh trusts overall

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

  1. Aäron van den Oord
  2. Yi Ren
  3. Jaehyeon Kim
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Martin L. Hazelton
  7. Yoshua Bengio
  8. Oriol Vinyals
  9. Alex Krizhevsky
  10. Ilya Loshchilov

Who trusts Hyung-Seok Oh overall

  1. Zeqian Ju

Papers from Hyung-Seok Oh's perspective

Ordered by how strongly the researchers Hyung-Seok Oh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. GENERATIVE ADVERSARIAL NETS
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers