Yasin Yazici

Generative Models · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Generative Models — 18 citations into it; #1,510 of 1,956 by trust here, #1,221 by citations
• Computer Vision and Pattern Recognition — 16 citations into it; #16,056 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 13 citations into it

Whom Yasin Yazici trusts overall

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

1. Ian J. Goodfellow
2. Lars M. Mescheder
3. Geoffrey E. Hinton
4. Gauthier Gidel
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Yoshua Bengio
8. Individualized Treat
9. Alec Radford
10. Yann LeCun

Who trusts Yasin Yazici overall

1. Animesh Karnewar
2. Lars M. Mescheder
3. Michael Niemeyer
4. Andreas Geiger
5. Håkon Hukkelås
6. Oliver Wang
7. Andrew Brock
8. Yuanhao Wang
9. Ben Athiwaratkun
10. Bingchen Liu

Papers from Yasin Yazici's perspective

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

Their papers

• The Unusual Effectiveness of Averaging in GAN Training (2018) — 183 citations