Jianshu Zhang

Artificial Intelligence · with Hospedales · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #22,818 of 35,345 by trust here, #16,166 by citations
• Computer Vision and Pattern Recognition — 29 citations into it; #14,086 of 21,575 by trust here, #10,905 by citations
• Representation & Self-Supervised Learning — 22 citations into it

Whom Jianshu Zhang trusts overall

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

1. Kaiming He
2. Christian Szegedy
3. Sergey Ioffe
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yoshua Bengio
7. David G. Lowe
8. Yann LeCun
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Jianshu Zhang overall

1. Kaiyang Zhou
2. Hyeonseob Nam
3. Yongxin Yang
4. Qi-Yan Dou
5. Tao A. Xiang
6. Divyat Mahajan
7. Prithvijit Chattopadhyay

Papers from Jianshu Zhang's perspective

Ordered by how strongly the researchers Jianshu Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Episodic Training for Domain Generalization (2019) — 499 citations