Francis Chi-Moon Lau
Artificial Intelligence · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #24,323 of 35,345 by trust here, #19,873 by citations
- Natural Language Processing — 21 citations into it; #4,063 of 5,688 by trust here, #3,897 by citations
- Model Architectures — 10 citations into it; #1,628 of 2,278 by trust here, #1,693 by citations
- Representation & Self-Supervised Learning — 5 citations into it
Whom Francis Chi-Moon Lau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Yoon Kim
- Quoc V. Le
- Ilya Sutskever
- Richard Socher
- Tomas Mikolov
- Alex Krizhevsky
- Nal Kalchbrenner
- Diederik P. Kingma
Who trusts Francis Chi-Moon Lau overall
Papers from Francis Chi-Moon Lau's perspective
Ordered by how strongly the researchers Francis Chi-Moon Lau trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- A C-LSTM Neural Network for Text Classification (2015) — 931 citations
- Online job dispatching and scheduling in edge-clouds (2017) — 250 citations