Jürgen Ziegler

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #18,523 of 35,345 by trust here, #23,731 by citations
• Information Systems — 19 citations into it; #3,774 of 8,771 by trust here, #5,303 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 12 citations into it
• Natural Language Processing — 8 citations into it
• Signal Processing — 7 citations into it
• Management Science and Operations Research — 6 citations into it
• Recommender Systems — 6 citations into it

Whom Jürgen Ziegler trusts overall

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

1. Yehuda Koren
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Kaiming He
7. J. Urgen Schmidhuber
8. Alex Graves
9. Tomas Mikolov
10. Thomas Hofmann

Who trusts Jürgen Ziegler overall

1. Yongfeng Zhang
2. Xu Chen
3. Aminu Da’u

Papers from Jürgen Ziegler's perspective

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

Their papers

• Sequential User-based Recurrent Neural Network Recommendations (2017) — 387 citations