Sung-Bae Cho

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Sung-Bae Cho trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. David E. Goldberg
  6. Ilya Sutskever
  7. Oriol Vinyals
  8. Daniel L. Marino
  9. Tara N. Sainath
  10. Bolei Zhou

Who trusts Sung-Bae Cho overall

  1. Yu Zheng
  2. Jesús Bobadilla
  3. Rahim Barzegar
  4. Benjamin Lindemann
  5. Jie Bao

Papers from Sung-Bae Cho's perspective

Ordered by how strongly the researchers Sung-Bae Cho 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. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers