Kwei-Herng Lai

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kwei-Herng Lai trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Sergey Levine
  7. Ilya Sutskever
  8. Yann LeCun
  9. Andrew Barto
  10. J. Urgen Schmidhuber

Who trusts Kwei-Herng Lai overall

  1. Daochen Zha

Papers from Kwei-Herng Lai's perspective

Ordered by how strongly the researchers Kwei-Herng Lai 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers