Soo-Min Kim

Artificial Intelligence · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 78 researchers here, as inferred from the citation graph.

Subfields

Whom Soo-Min Kim trusts overall

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

  1. Bo Pang
  2. Ellen Riloff
  3. Vladimir Naumovich Vapni
  4. Thorsten Joachims
  5. Peter D. Turney
  6. Patrick Pantel
  7. Daniel Gildea
  8. Janyce Wiebe
  9. Minqing Hu
  10. Adam L. Berger

Who trusts Soo-Min Kim overall

  1. Bing Liu
  2. Andrea Esuli
  3. Maite Taboada
  4. Chien Chin Chen
  5. Soujanya Poria
  6. B. Liu
  7. Anindya Ghose
  8. Janyce Wiebe
  9. Paul Sabatier
  10. Lei Zhang

Papers from Soo-Min Kim's perspective

Ordered by how strongly the researchers Soo-Min Kim 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers