Bo Liu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Bo Liu trusts overall

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

  1. Jeremy Howard
  2. Alec Radford
  3. Yann LeCun
  4. Christian Szegedy
  5. Kenton C. T. Lee
  6. Geoffrey E. Hinton
  7. Sebastian Ruder
  8. Yoshua Bengio
  9. Matthew E. Peters
  10. Gabriel Pereyra

Who trusts Bo Liu overall

  1. Su Lin Blodgett
  2. Kellie Webster
  3. Marta Ruiz Costa-jussà
  4. Solon Barocas
  5. Hal Daumé Iii
  6. Christian Hardmeier
  7. Hanna M. Wallach
  8. Will Radford

Papers from Bo Liu's perspective

Ordered by how strongly the researchers Bo Liu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers