Eugene Lin

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #19,010 of 21,575 by trust here, #19,766 by citations
• Generative Models — 15 citations into it
• Artificial Intelligence — 12 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Eugene Lin trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Andrew Y. Ng
5. Alex Krizhevsky
6. Pascal Vincent
7. Jeff Donahue
8. Jimmy Ba
9. Yann LeCun
10. Ilya Sutskever

Who trusts Eugene Lin overall

1. Divya Saxena

Papers from Eugene Lin's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. GENERATIVE ADVERSARIAL NETS
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• ClusterGAN : Latent Space Clustering in Generative Adversarial Networks (2018) — 384 citations