Paul Cernek

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #23,067 of 35,345 by trust here, #23,077 by citations
• Reinforcement Learning — 16 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Paul Cernek trusts overall

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

1. J. Urgen Schmidhuber
2. Richard S. Sutton
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Lucian Busoniu
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Yann LeCun
9. Jimmy Ba
10. Andrei A. Rusu

Who trusts Paul Cernek overall

1. J. Urgen Schmidhuber
2. Emilio Parisotto

Papers from Paul Cernek's perspective

Ordered by how strongly the researchers Paul Cernek 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. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control (2018) — 60 citations