Renchunzi Xie

Artificial Intelligence · 2022

A researcher in the Science corpus: 2 papers; trusts 163 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 48 citations into it
• Computer Vision and Pattern Recognition — 48 citations into it
• Meta & Continual Learning — 15 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Renchunzi Xie trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yoshua Bengio
6. Yann LeCun
7. Christian Szegedy
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Papers from Renchunzi Xie's perspective

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

Their papers

• Mitigating Neural Network Overconfidence with Logit Normalization (2022) — 414 citations
• ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection (2022) — 91 citations