Yoon-Sik Cho

Statistical and Nonlinear Physics · 2015

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yoon-Sik Cho trusts overall

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

  1. David M. Blei
  2. Michael I. Jordan
  3. Dan Jurafsky
  4. Jonathan D. Chang
  5. Rob J Hyndman
  6. Andrew McCallum
  7. Eunjoon Cho
  8. Kenneth Joseph
  9. Andrew Y. Ng
  10. Geoffrey E. Hinton

Who trusts Yoon-Sik Cho overall

  1. Lizi Liao
  2. Ninareh Mehrabi
  3. Xiangnan He
  4. Fred Morstatter

Papers from Yoon-Sik Cho's perspective

Ordered by how strongly the researchers Yoon-Sik 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers