Seungwhan Moon

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 6 papers; trusts 74 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Seungwhan Moon trusts overall

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

  1. Antoine Bordes
  2. Jason Aaron Edward Weston
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Kaiming He
  10. Richard Socher

Who trusts Seungwhan Moon overall

  1. Minlie Huang
  2. Stephen Roller
  3. Andrea Madotto
  4. Nouha Dziri
  5. Junyi Li
  6. Jinjie Ni
  7. Samuel Cahyawijaya
  8. Xiaoyan Zhu
  9. Y-Lan Boureau
  10. Pararth Shah

Papers from Seungwhan Moon's perspective

Ordered by how strongly the researchers Seungwhan Moon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers