Raymond A. Yeh

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 554 researchers and is trusted by 151 researchers here, as inferred from the citation graph.

Subfields

Whom Raymond A. Yeh trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Kaiming He
  6. Andrew Zisserman
  7. Yoshua Bengio
  8. Yann LeCun
  9. Jimmy Ba
  10. Ilya Sutskever

Who trusts Raymond A. Yeh overall

  1. Haofeng Li
  2. Simon Niklaus
  3. Avisek Lahiri
  4. Namrata Anand
  5. Yuval Alaluf
  6. Anh Tuan Tran
  7. Hongyu Liu
  8. Viraj Shah
  9. Ashish Bora
  10. Agnieszka Mikołajczyk

Papers from Raymond A. Yeh's perspective

Ordered by how strongly the researchers Raymond A. Yeh 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers