Renjie Song

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 3 papers; trusts 216 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 110 citations into it
• Artificial Intelligence — 100 citations into it
• Efficiency & Compression — 30 citations into it
• Representation & Self-Supervised Learning — 30 citations into it
• Model Architectures — 17 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Signal Processing — 6 citations into it

Whom Renjie Song 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. Diederik P. Kingma
8. Shaoqing Ren
9. Ilya Sutskever
10. Karen Simonyan

Papers from Renjie Song's perspective

Ordered by how strongly the researchers Renjie Song 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. ImageNet Large Scale Visual Recognition Challenge
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. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Curriculum Temperature for Knowledge Distillation (2022) — 304 citations
• Decoupled Knowledge Distillation (2022) — 891 citations
• Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective (2022) — 20 citations