Dong Min

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Dong Min trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Takeru Miyato
  5. Alex Krizhevsky
  6. Alex Graves
  7. Individualized Treat
  8. Kaiming He
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Dong Min overall

  1. Rongjie Huang
  2. Ziyue Jiang
  3. Jinglin Liu
  4. Hyung-Seok Oh
  5. Mohammed Salah Al-Radhi
  6. Zalán Borsos
  7. Minki Kang
  8. P. Xu
  9. Yi Ren
  10. Sang-Hoon Lee

Papers from Dong Min's perspective

Ordered by how strongly the researchers Dong Min 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers