Sunkyu Kim

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Sunkyu Kim trusts overall

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

  1. Pascal Vincent
  2. Yoshua Bengio
  3. George A. Miller
  4. Yann LeCun
  5. Tomas Mikolov
  6. Quoc V. Le
  7. Geoffrey E. Hinton
  8. Hugo Larochelle
  9. Alex Krizhevsky
  10. John C. Duchi

Who trusts Sunkyu Kim overall

  1. Michael Heinzinger

Papers from Sunkyu Kim's perspective

Ordered by how strongly the researchers Sunkyu 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers