Bryan Hooi

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 7 papers; trusts 451 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Bryan Hooi trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yehuda Koren
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Yann LeCun
  9. Ilya Sutskever
  10. David G. Lowe

Who trusts Bryan Hooi overall

  1. Lijun Sun
  2. Jiehui Xu
  3. Kukjin Choi
  4. Binghui Wang
  5. Bernie Wang
  6. Yiyuan Yang
  7. Shreshth Tuli
  8. Xiaoxiao Ma
  9. Hongzuo Xu
  10. Xinyu Chen

Papers from Bryan Hooi's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers