Minsik Cho

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 130 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minsik Cho trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Mingxing Tan
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Quoc V. Le
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Minsik Cho overall

  1. Yuanzhong Xu
  2. HyoukJoong Lee

Papers from Minsik Cho's perspective

Ordered by how strongly the researchers Minsik Cho 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers