Keonwoo Kim

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keonwoo 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

Papers from Keonwoo Kim's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers