Sebastian Zeng

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Statistical Learning Theory — 10 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Sebastian Zeng trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Tong Zhang
4. Peter L. Bartlett
5. Vaishnavh Nagarajan
6. Geoffrey E. Hinton
7. Andreas Maurer
8. X. Zhang
9. Moritz Hardt
10. Yoshua Bengio

Papers from Sebastian Zeng's perspective

Ordered by how strongly the researchers Sebastian Zeng 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. ImageNet classification with deep convolutional neural networks
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On Measuring Excess Capacity in Neural Networks (2022) — 13 citations