Jakub R. Kaczmarzyk

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Jakub R. Kaczmarzyk trusts overall

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

1. Diederik P. Kingma
2. Tim Salimans
3. Geoffrey E. Hinton
4. Max Welling
5. Alex Graves

Papers from Jakub R. Kaczmarzyk's perspective

Ordered by how strongly the researchers Jakub R. Kaczmarzyk trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Distributed Weight Consolidation: A Brain Segmentation Case Study (2018) — 28 citations