Chuanbiao Song
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Safety, Robustness & Interpretability — 31 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it
- Optimization & Training — 6 citations into it
- Signal Processing — 6 citations into it
- Hardware and Architecture — 5 citations into it
- Model Architectures — 5 citations into it
Whom Chuanbiao Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Alexey Kurakin
- Ian J. Goodfellow
- Geoffrey E. Hinton
- Christian Szegedy
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Kaiming He
Who trusts Chuanbiao Song overall
Papers from Chuanbiao Song's perspective
Ordered by how strongly the researchers Chuanbiao Song 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)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks (2019) — 796 citations
- Improving the Generalization of Adversarial Training with Domain Adaptation (2018) — 148 citations