Jane Synnergren

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Jane Synnergren trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Nitish Srivastava
4. Pascal Vincent
5. Ruslan Salakhutdinov
6. Diederik P. Kingma
7. Anika Cheerla
8. Alex Krizhevsky
9. Hugo Larochelle
10. Yann LeCun

Papers from Jane Synnergren's perspective

Ordered by how strongly the researchers Jane Synnergren 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Multimodal deep learning for biomedical data fusion: a review (2022) — 631 citations