Marek Śmieja

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it

Whom Marek Śmieja trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yoon Kim
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yann LeCun

Papers from Marek Śmieja's perspective

Ordered by how strongly the researchers Marek Śmieja 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. Intriguing properties of neural networks
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Spatial Graph Convolutional Networks (2020) — 115 citations
• Geometric Graph Convolutional Neural Networks (2019) — 10 citations
• Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models (2019) — 9 citations