Ran Zhao
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #8,397 of 35,345 by trust here, #9,641 by citations
- Natural Language Processing — 20 citations into it; #1,777 of 5,688 by trust here, #2,132 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
- Generative Models — 5 citations into it
- Model Architectures — 5 citations into it
Whom Ran Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Oriol Vinyals
- Jimmy Ba
- Yann LeCun
- Alex Graves
- Iulian Serban
Who trusts Ran Zhao overall
- Chunyuan Li
- Siqi Bao
- Tiancheng Zhao
- Pei Zhou
- Yury Zemlyanskiy
- Maxine Eskénazi
- Xiang Gao
- Shikib Mehri
- Yookoon Park
- Yuan Li
Papers from Ran Zhao's perspective
Ordered by how strongly the researchers Ran Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)