Yuanyuan Ren

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #14,273 of 21,575 by trust here, #21,103 by citations
• Computational Theory and Mathematics — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yuanyuan Ren trusts overall

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

1. Lawrence K. Saul
2. Sam T. Roweis
3. Josh Tenenbaum
4. Stéphane Lafon
5. Vin de Silva
6. David L. Donoho
7. Mikhail Belkin
8. Kilian Q. Weinberger
9. Matthew A. Turk
10. Hongyuan Zha

Who trusts Yuanyuan Ren overall

1. Timothée Lesort

Papers from Yuanyuan Ren's perspective

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

1. Gradient-based learning applied to document recognition
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Nonlinear dimensionality reduction by locally linear embedding.
5. A global geometric framework for nonlinear dimensionality reduction.
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

Their papers

• A new embedding quality assessment method for manifold learning (2011) — 33 citations