Nam Soo Kim

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 6 papers; trusts 93 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Nam Soo Kim trusts overall

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

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

Who trusts Nam Soo Kim overall

  1. Xu Tan
  2. Tao Qin
  3. Isabelle Augenstein
  4. Karolina Stańczak
  5. Kellie Webster
  6. Hila Gonen
  7. Hyeongju Kim
  8. Tie-Yan Liu

Papers from Nam Soo Kim's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers