Xiaoqi Ren

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it
• Computer Vision and Pattern Recognition — 74 citations into it
• Meta & Continual Learning — 44 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Reinforcement Learning — 7 citations into it

Whom Xiaoqi Ren trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Arslan Chaudhry
5. Marc'Aurelio Ranzato
6. Yoshua Bengio
7. Yann LeCun
8. Kaiming He
9. Ilya Sutskever
10. Jimmy Ba

Papers from Xiaoqi Ren's perspective

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

Their papers

• Learning to Prompt for Continual Learning (2021) — 1,330 citations
• DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning (2022) — 880 citations