Minchan Kim

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minchan Kim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. L. V. D. van der Maaten
  4. Jaehyeon Kim
  5. Jimmy Ba
  6. Jungil Kong
  7. Yoshua Bengio
  8. Laurent Dinh
  9. Nils Reimers
  10. Jan Vainer

Who trusts Minchan Kim overall

  1. Dongchao Yang

Papers from Minchan Kim's perspective

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

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

Their papers