Jiaxin Chen

Artificial Intelligence · with Shi · 2021

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Meta & Continual Learning — 28 citations into it
• Representation & Self-Supervised Learning — 17 citations into it

Whom Jiaxin Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yaoyao Liu
6. Diederik P. Kingma
7. Yann LeCun
8. Ross B. Girshick
9. Oriol Vinyals
10. Ilya Sutskever

Who trusts Jiaxin Chen overall

1. Liyuan Wang
2. Da-Wei Zhou
3. Keon-Hee Park
4. Do-Yeon Kim

Papers from Jiaxin Chen's perspective

Ordered by how strongly the researchers Jiaxin Chen 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima (2021) — 219 citations