Chen He
Artificial Intelligence · with Chen · 2018
A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Meta & Continual Learning — 7 citations into it; #740 of 1,041 by trust here, #583 by citations
- Generative Models — 5 citations into it; #1,384 of 1,956 by trust here, #1,221 by citations
Whom Chen He trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Yann LeCun
- Anthony V. Robins
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Individualized Treat
- Diederik P. Kingma
- L. Eon Bottou
- X. Zhang
Who trusts Chen He overall
- Eden Belouadah
- Adrian Daniel Popescu
- Guile Wu
- Zhiwei Lin
- Ahmet Iscen
- Andrea Maracani
- Shuang Li
- Idan Achituve
- Junsu Kim
- Xiaoyu Tao
Papers from Chen He's perspective
Ordered by how strongly the researchers Chen He 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Exemplar-Supported Generative Reproduction for Class Incremental Learning (2018) — 90 citations