Jing Chai

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jing Chai trusts overall

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

  1. Katherine L. Silversides
  2. Martin L. Hazelton
  3. Zhi-Hua Zhou
  4. Sally A. Goldman
  5. Dimitri P. Bertsekas
  6. Masashi Sugiyama
  7. Isabelle M Guyon
  8. Yu-Yin Sun

Who trusts Jing Chai overall

  1. Marc-Andre Carbonneau
  2. Zoltán Szabó
  3. Veronika Cheplygina

Papers from Jing Chai's perspective

Ordered by how strongly the researchers Jing Chai 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Multiple-Instance Learning of Real-Valued Data
  6. Nonlinear Programming
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers