Mateusz Staniak

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #23,844 of 35,345 by trust here, #30,347 by citations
• Safety, Robustness & Interpretability — 10 citations into it; #1,556 of 2,251 by trust here, #2,161 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #14,731 of 21,575 by trust here, #19,310 by citations
• Statistics and Probability — 5 citations into it

Whom Mateusz Staniak trusts overall

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

1. Jerome H. Friedman
2. Przemyslaw Biecek
3. Marco Tulio Ribeiro
4. Brandon M. Greenwell
5. Matthew D. Zeiler
6. Erik Strumbelj
7. Scott M. Lundberg
8. Andy Liaw
9. Daniel W. Apley
10. Sameer Singh

Who trusts Mateusz Staniak overall

1. Alicja Gosiewska
2. Przemyslaw Biecek
3. D. V. Carvalho

Papers from Mateusz Staniak's perspective

Ordered by how strongly the researchers Mateusz Staniak 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Visualizing and Understanding Convolutional Networks
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Explanations of model predictions with live and breakDown packages (2018) — 147 citations