Liang Bin

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Bin trusts overall

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

  1. Koby Crammer
  2. Mark Dredze
  3. Ofer Dekel
  4. Fernando C Pereira
  5. Elad Hazan
  6. Shai Shalev-Shwartz
  7. Martin A. Zinkevich

Who trusts Liang Bin overall

  1. Zhengyao Jiang
  2. Frank Xing
  3. Jinjun Liang
  4. Steven C. H. Hoi
  5. Dixing Xu
  6. Erik Cambria
  7. Doyen Sahoo
  8. Roy E. Welsch
  9. Jing Lu

Papers from Liang Bin's perspective

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

  1. Online Passive-Aggressive Algorithms
  2. Confidence-weighted linear classification
  3. Multitask Learning
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. The perceptron: a probabilistic model for information storage and organization in the brain.
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers