Sungyong Seo

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 109 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Sungyong Seo trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kaiming He
  8. Jimmy Ba
  9. Oriol Vinyals
  10. Richard Socher

Who trusts Sungyong Seo overall

  1. Xu Chen
  2. Aminu Da’u
  3. Yongfeng Zhang
  4. Yi Tay
  5. Mengnan Du
  6. Yichao Lu
  7. Chenliang Li
  8. Roberto Confalonieri
  9. Rohit Kumar Kaliyar
  10. Xinyi Zhou

Papers from Sungyong Seo's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers