Liu Bo

IEEE Transactions on Pattern Analysis and Machine Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Whom Liu Bo trusts overall

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

  1. Sung-Hyuk Cha
  2. Yann LeCun
  3. Sargur N. Srihari
  4. L. Eon Bottou

Who trusts Liu Bo overall

  1. Matthias Studer
  2. Massimo Bartoletti
  3. Gilbert Ritschard

Papers from Liu Bo's perspective

Ordered by how strongly the researchers Liu Bo trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. On measuring the distance between histograms (Pattern Recognition)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers