Haoran Zhao
Computer Vision and Pattern Recognition · with Dong · 2019
A researcher in the Science corpus: 1 paper; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 48 citations into it
- Artificial Intelligence — 43 citations into it
- Model Architectures — 11 citations into it
- Optimization & Training — 8 citations into it
Whom Haoran Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Diederik P. Kingma
- Yann LeCun
- Jimmy Ba
- Christian Szegedy
- Ilya Sutskever
- Yoshua Bengio
- Sergey Ioffe
Papers from Haoran Zhao's perspective
Ordered by how strongly the researchers Haoran Zhao 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Highlight Every Step: Knowledge Distillation via Collaborative Teaching (2019) — 75 citations