Xiaochen Bo

Molecular Biology · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaochen Bo trusts overall

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

  1. Geoffrey E. Hinton
  2. Paul J. Werbos
  3. Alex Graves
  4. Yoshua Bengio
  5. J. Urgen Schmidhuber
  6. Yann LeCun

Papers from Xiaochen Bo's perspective

Ordered by how strongly the researchers Xiaochen Bo 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. Long Short-Term Memory
  5. Going deeper with convolutions
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. This PDF file includes: Materials and Methods
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Deep Architectures for AI

Their papers