Sebastian Stober

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Model Architectures — 6 citations into it
• Natural Language Processing — 6 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom Sebastian Stober trusts overall

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

1. Yichuan Tang
2. Geoffrey E. Hinton
3. Vittorio Ferrari
4. Hubert Cecotti
5. Alex Krizhevsky
6. Yann LeCun
7. Andrew Zisserman
8. Yoshua Bengio
9. Piotr Wojciech Mirowski
10. Rong-En Fan

Who trusts Sebastian Stober overall

1. Seonwoo Min
2. Siavash Sakhavi
3. Stanislas Chambon
4. Haidar Khan
5. Yannick Roy
6. Vernon J. Lawhern
7. Concetto Spampinato
8. Byunghan Lee
9. Cuntai Guan

Papers from Sebastian Stober's perspective

Ordered by how strongly the researchers Sebastian Stober 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Transfer Learning for Speech Recognition on a Budget (2017) — 147 citations
• Deep Feature Learning for EEG Recordings (2015) — 137 citations