Karol Zieba

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 167 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it; #27,228 of 35,345 by trust here, #2,723 by citations
• Computer Vision and Pattern Recognition — 49 citations into it; #12,184 of 21,575 by trust here, #1,948 by citations
• Safety, Robustness & Interpretability — 34 citations into it
• Biophysics — 8 citations into it

Whom Karol Zieba trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yann LeCun
5. Karen Simonyan
6. Matthew D. Zeiler
7. Ross B. Girshick
8. Kaiming He
9. Christian Szegedy
10. Ilya Sutskever

Who trusts Karol Zieba overall

1. Sergey Levine
2. Lei Tai
3. Pieter Abbeel
4. Ramitha Sundar
5. Yadong Mu
6. Lu Chi

Papers from Karol Zieba's perspective

Ordered by how strongly the researchers Karol Zieba 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• End to End Learning for Self-Driving Cars (2016) — 4,658 citations
• VisualBackProp: visualizing CNNs for autonomous driving (2016) — 78 citations
• VisualBackProp: efficient visualization of CNNs (2018) — 56 citations