Mengshuo Wang
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 117 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 158 citations into it
- Computer Vision and Pattern Recognition — 78 citations into it
- Optimization & Training — 50 citations into it
- Neural Architecture Search & AutoML — 49 citations into it
- Computational Theory and Mathematics — 32 citations into it
- Model Architectures — 31 citations into it
- Management Science and Operations Research — 18 citations into it
- Computational Mechanics — 10 citations into it
Whom Mengshuo Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Alex Krizhevsky
- Frank Hutter
- Yann LeCun
- Kaiming He
- Diederik P. Kingma
- Quoc V. Le
- Ilya Sutskever
- James Bergstra
Who trusts Mengshuo Wang overall
Papers from Mengshuo Wang's perspective
Ordered by how strongly the researchers Mengshuo Wang 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Automated Machine Learning: From Principles to Practices (2018) — 264 citations
- Taking Human out of Learning Applications: A Survey on Automated Machine Learning (2018) — 216 citations