Dominik Zietlow

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 19 citations into it
• Generative Models — 17 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Dominik Zietlow trusts overall

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

1. Yann LeCun
2. Yoshua Bengio
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Andreas Ziegler
6. J. Urgen Schmidhuber
7. Alex Krizhevsky
8. Ilya Sutskever
9. L. Eon Bottou
10. Kaiming He

Who trusts Dominik Zietlow overall

1. Sunny Duan

Papers from Dominik Zietlow's perspective

Ordered by how strongly the researchers Dominik Zietlow 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Variational Autoencoders Pursue PCA Directions (by Accident) (2018) — 176 citations