Jia-Jie Zhu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #18,020 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Generative Models — 12 citations into it

Whom Jia-Jie Zhu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sanjoy Dasgupta
2. Dana Angluin
3. Jost Tobias Springenberg
4. Burr Settles
5. Yann LeCun
6. Alec Radford
7. Alex Smola
8. Geoffrey E. Hinton
9. Simon Tong
10. Alex Krizhevsky

Who trusts Jia-Jie Zhu overall

1. Matthew Riemer
2. Paola Cascante-Bonilla
3. Jie Gui
4. Pengzhen Ren
5. Yezheng Liu
6. Tim Klinger
7. Fuwen Tan
8. Zhenan Sun
9. Daniel Gissin
10. Yun Xiao

Papers from Jia-Jie Zhu's perspective

Ordered by how strongly the researchers Jia-Jie Zhu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Generative Adversarial Active Learning (2017) — 205 citations