Jianjin Zhang
Computer Vision and Pattern Recognition · 2018–2021
A researcher in the Science corpus: 2 papers; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 63 citations into it
- Artificial Intelligence — 40 citations into it
- Generative Models — 31 citations into it
- Model Architectures — 16 citations into it
- Reinforcement Learning — 9 citations into it
- Natural Language Processing — 8 citations into it
- Optimization & Training — 7 citations into it
Whom Jianjin Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ilya Sutskever
- Alex Krizhevsky
- Yoshua Bengio
- Jimmy Ba
- Alex Graves
- Yann LeCun
- Oriol Vinyals
- Chelsea Finn
Who trusts Jianjin Zhang overall
Papers from Jianjin Zhang's perspective
Ordered by how strongly the researchers Jianjin Zhang 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)
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images