Myeonghun Jeong

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Myeonghun Jeong trusts overall

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

  1. Diederik P. Kingma
  2. Jimmy Ba
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Aäron van den Oord
  7. Jonathan Ho
  8. Alex Graves
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Myeonghun Jeong overall

  1. Xu Tan
  2. Sang-gil Lee
  3. Arash Vahdat
  4. Jinglin Liu
  5. Minki Kang
  6. Jaesung Tae
  7. Fei Zhao
  8. Dongchao Yang
  9. Heeseung Kim
  10. Cong Han

Papers from Myeonghun Jeong's perspective

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

Their papers