Seungyeon Kim

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 5 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Seungyeon Kim trusts overall

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

  1. Bo Pang
  2. Gilad Mishne
  3. Lillian Lee
  4. Carlo Strapparava
  5. Geoffrey E. Hinton
  6. E.J. Candes
  7. Diederik P. Kingma
  8. John D. Lafferty
  9. Ruslan Salakhutdinov
  10. Ming Yuan

Who trusts Seungyeon Kim overall

  1. Parikshit Ram
  2. Alexander G. Gray
  3. Ryan R. Curtin
  4. Gintare Karolina Dziugaite
  5. Florian Strub
  6. Guang-He Lee
  7. Yin Zheng
  8. Da Kuang
  9. Suvash Sedhain

Papers from Seungyeon Kim's perspective

Ordered by how strongly the researchers Seungyeon Kim 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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