Joyce Chen

Computer Vision and Pattern Recognition · with Bills · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Joyce Chen trusts overall

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

  1. Radford M. Neal
  2. Ashutosh Saxena
  3. Aude Oliva
  4. Koray Çelik
  5. Andrew Y. Ng
  6. Pieter Abbeel
  7. Antonio Torralba

Who trusts Joyce Chen overall

  1. Fereshteh Sadeghi
  2. Lorenz Meier
  3. Friedrich Fraundorfer

Papers from Joyce Chen's perspective

Ordered by how strongly the researchers Joyce Chen 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. Long Short-Term Memory
  6. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers