Yinian Mao

Computer Vision and Pattern Recognition · 2006–2021

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it; #17,757 of 21,575 by trust here, #19,766 by citations

Whom Yinian Mao trusts overall

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

1. Claude E. Shannon
2. John G. Proakis
3. Ching-Yung Lin
4. Alex Krizhevsky
5. Ramarathnam Venkatesan

Who trusts Yinian Mao overall

1. Vishal Monga

Papers from Yinian Mao's perspective

Ordered by how strongly the researchers Yinian Mao 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. Deep Learning
5. Understanding deep learning requires rethinking generalization
6. Gradient-based learning applied to document recognition
7. SGDR: Stochastic Gradient Descent with Warm Restarts
8. mixup: Beyond Empirical Risk Minimization
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
• Robust and secure image hashing (2006) — 577 citations