Jiatong Li

Computer Vision and Pattern Recognition · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it

Whom Jiatong Li trusts overall

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

1. Alex Krizhevsky

Papers from Jiatong Li's perspective

Ordered by how strongly the researchers Jiatong Li 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. Learning Multiple Layers of Features from Tiny Images
4. Understanding deep learning requires rethinking generalization
5. Gradient-based learning applied to document recognition
6. Deep Learning
7. mixup: Beyond Empirical Risk Minimization
8. SGDR: Stochastic Gradient Descent with Warm Restarts
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Understanding and Improving Early Stopping for Learning with Noisy Labels (2021) — 298 citations