Jungtaek Kim

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jungtaek Kim trusts overall

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

  1. Geoffrey E. Hinton
  2. Nikolaus Hansen
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Barret Zoph
  6. Diederik P. Kingma
  7. Frank Hutter
  8. Yann LeCun
  9. Jasper Snoek
  10. Quoc V. Le

Who trusts Jungtaek Kim overall

  1. Andrés Camero
  2. Yao-Hung Hubert Tsai
  3. Enrique Alba

Papers from Jungtaek Kim's perspective

Ordered by how strongly the researchers Jungtaek 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers