Jason J. Yu

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 139 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Jason J. Yu trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Aäron van den Oord
  4. Stéphane Mallat
  5. Tero Karras
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Kaiming He
  9. Karen Simonyan
  10. Yann LeCun

Who trusts Jason J. Yu overall

  1. Simon Niklaus
  2. Zihang Lai
  3. Alex Zihao Zhu
  4. Anurag Ranjan
  5. Yuliang Zou
  6. Pengpeng Liu
  7. Simon Meister
  8. Emmanuel de Bézenac
  9. Junhwa Hur
  10. Hamid Laga

Papers from Jason J. Yu's perspective

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

Their papers