Ruxin Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 206 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ruxin Chen trusts overall

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

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

Who trusts Ruxin Chen overall

  1. Jonathan Munro

Papers from Ruxin Chen's perspective

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

Their papers