Ulas Ayaz

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Generative Models — 9 citations into it; #1,030 of 1,956 by trust here, #1,635 by citations
• Artificial Intelligence — 8 citations into it

Whom Ulas Ayaz trusts overall

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

1. Kaiming He
2. Yann LeCun
3. Mehdi Mirza
4. Alec Radford
5. Diederik P. Kingma
6. Paul Hand
7. Yoshua Bengio
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. L. Eon Bottou

Who trusts Ulas Ayaz overall

1. Yujun Shen
2. Jinjin Gu
3. Bolei Zhou
4. Jiapeng Zhu
5. Tan M. Dinh
6. Yen-Chi Cheng

Papers from Ulas Ayaz's perspective

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

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

Their papers

• Invertibility of Convolutional Generative Networks from Partial Measurements (2018) — 70 citations