Cong Yang

Representation & Self-Supervised Learning · with Liu · 2017

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

• Representation & Self-Supervised Learning — 11 citations into it

Whom Cong Yang trusts overall

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

1. Kilian Q. Weinberger
2. Shibin Parameswaran
3. Geoffrey E. Hinton

Papers from Cong Yang's perspective

Ordered by how strongly the researchers Cong Yang 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. Multitask Learning
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Lifelong Metric Learning (2017) — 28 citations