Beilun Wang
Artificial Intelligence · 2016
A researcher in the Science corpus: 2 papers; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
- Safety, Robustness & Interpretability — 39 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Molecular Biology — 12 citations into it
- Computer Networks and Communications — 10 citations into it
- Signal Processing — 8 citations into it
- Information Systems — 6 citations into it
- Model Architectures — 6 citations into it
Whom Beilun Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Battista Biggio
- Kaiming He
- Ian J. Goodfellow
- Yoshua Bengio
- Karen Simonyan
- Nicholas Carlini
- Ilya Sutskever
Papers from Beilun Wang's perspective
Ordered by how strongly the researchers Beilun 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
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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