Bryant Chen

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Bryant Chen trusts overall

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

  1. Blaine Nelson
  2. Robert Tibshirani
  3. Yoon Kim
  4. Karen Simonyan
  5. Marco Barreno
  6. Battista Biggio
  7. Maria-Irina Nicolae
  8. Nicolas Papernot
  9. Geoffrey E. Hinton
  10. Andrew Zisserman

Who trusts Bryant Chen overall

  1. Eugene Bagdasarian
  2. T. Tan
  3. Maria-Irina Nicolae
  4. Di Tang
  5. Lingjuan Lyu
  6. Alexander Turner
  7. Aniruddha Saha
  8. Yunfei Liu
  9. Sebastian Szyller
  10. Yuanshun Yao

Papers from Bryant Chen's perspective

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

Their papers