Liang Peng

Computer Vision and Pattern Recognition · with He · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 10 citations into it

Whom Liang Peng trusts overall

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

1. Geoffrey E. Hinton

Papers from Liang Peng's perspective

Ordered by how strongly the researchers Liang Peng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Representation Learning with Contrastive Predictive Coding
6. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Visualizing Data using t-SNE

Their papers

• Multi-level Feature Learning for Contrastive Multi-view Clustering (2021) — 355 citations