Jakub Kowalski

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 8 citations into it
• Reinforcement Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Jakub Kowalski trusts overall

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

1. Yoshua Bengio
2. Sepp Hochreiter
3. Stanley F. Chen
4. Colin Raffel
5. Stephen Kelly

Papers from Jakub Kowalski's perspective

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

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

Their papers

• Text-based adventures of the golovin AI agent (2017) — 31 citations