Xiang Chen

Artificial Intelligence · with Deng · 2020

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 31 citations into it
• Meta & Continual Learning — 17 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Generative Models — 9 citations into it

Whom Xiang Chen trusts overall

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

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

Papers from Xiang Chen's perspective

Ordered by how strongly the researchers Xiang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Generative Feature Replay with Orthogonal Weight Modification for Continual Learning (2020) — 25 citations