Aloysius Ka-Lau Mok

Artificial Intelligence · 2004–2018

A researcher in the Science corpus: 4 papers; trusts 103 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Aloysius Ka-Lau Mok trusts overall

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

  1. J. Urgen Schmidhuber
  2. Alex Graves
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Kenneth O. Stanley
  6. James Newsome
  7. Geoffrey E. Hinton
  8. Ronald J. Williams
  9. Oriol Vinyals
  10. Sepp Hochreiter

Who trusts Aloysius Ka-Lau Mok overall

  1. Blaine Nelson
  2. Shike Mei
  3. Battista Biggio
  4. Tianyu Gu
  5. Kang Liu
  6. Xiaojin Zhu
  7. Brendan Dolan-Gavitt
  8. Marco Barreno
  9. Udam Saini
  10. Giorgio Fumera

Papers from Aloysius Ka-Lau Mok's perspective

Ordered by how strongly the researchers Aloysius Ka-Lau Mok 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers