Brian Y. Lim

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 7 papers; trusts 75 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Y. Lim trusts overall

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

  1. Anind K. Dey
  2. J. Ross Quinlan
  3. Jonathan L. Herlocker
  4. Mark D. Weiser
  5. Joe Tullio
  6. Gregory D. Abowd
  7. Victoria Bellotti
  8. Marko Robnik-Sikonja
  9. James A. Fogarty
  10. Shirley Gregor

Who trusts Brian Y. Lim overall

  1. Q. Liao
  2. Todd Kulesza
  3. Anind K. Dey
  4. Ashraf Abdul
  5. Simone Stumpf
  6. Margaret M. Burnett
  7. Or Biran
  8. Danding Wang
  9. Sina Mohseni
  10. Rafal Kocielnik

Papers from Brian Y. Lim's perspective

Ordered by how strongly the researchers Brian Y. Lim 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers