Lawson L. S. Wong
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #25,777 of 35,345 by trust here, #19,873 by citations
- Natural Language Processing — 28 citations into it; #4,252 of 5,688 by trust here, #3,897 by citations
- Reinforcement Learning — 11 citations into it
Whom Lawson L. S. Wong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Tomas Mikolov
- Ilya Sutskever
- Yoshua Bengio
- Richard S. Sutton
- Geoffrey E. Hinton
- Jimmy Ba
- Morgan Quigley
- Kyunghyun Cho
Who trusts Lawson L. S. Wong overall
Papers from Lawson L. S. Wong's perspective
Ordered by how strongly the researchers Lawson L. S. Wong trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Attention is All you Need (Neural Information Processing Systems)
- Efficient Estimation of Word Representations in Vector Space
- ImageNet: A large-scale hierarchical image database