Werner Zellinger

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Werner Zellinger trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Baochen Sun
5. Yoshua Bengio
6. Arthur Gretton
7. Ilya Sutskever
8. Diederik P. Kingma
9. Yann LeCun
10. Andrew Zisserman

Who trusts Werner Zellinger overall

1. Jian Liang
2. Xingchao Peng
3. Devamanyu Hazarika
4. Mei Wang
5. Divya Saxena
6. Chaohui Yu
7. Jing Zhang
8. Chen-Yu Lee
9. Zhekai Du
10. Chaoqi Chen

Papers from Werner Zellinger's perspective

Ordered by how strongly the researchers Werner Zellinger 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning (2017) — 675 citations