Dahuin Jung

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 2 papers; trusts 232 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dahuin Jung trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Kaiming He
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ian J. Goodfellow
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Nicolas Papernot

Papers from Dahuin Jung's perspective

Ordered by how strongly the researchers Dahuin Jung 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers