Joongheon Kim

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Joongheon Kim trusts overall

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

  1. Anthony J. Nicholson
  2. Jihong Park
  3. Anis Elgabli
  4. Mikkel Baun Kjærgaard
  5. Yu Zheng

Who trusts Joongheon Kim overall

  1. Donnie H. Kim
  2. Dimitris Chatzopoulos

Papers from Joongheon Kim's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers