Szymon Wilk
Artificial Intelligence · 2019
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 — 6 citations into it
Whom Szymon Wilk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Szymon Wilk's perspective
Ordered by how strongly the researchers Szymon Wilk trusts endorse each paper. Same corpus, a different order for every researcher.
- A brief survey on sequence classification
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines