A. Helen Victoria

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Optimization & Training — 6 citations into it

Whom A. Helen Victoria trusts overall

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

1. James Bergstra
2. Yoshua Bengio
3. Jasper Snoek
4. Matthew D. Hoffman
5. Seyyed Hossein HasanPour
6. Hugo Larochelle
7. Geoffrey E. Hinton
8. Matthias Feurer
9. Yann LeCun
10. Alex Krizhevsky

Papers from A. Helen Victoria's perspective

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

Their papers

• Automatic tuning of hyperparameters using Bayesian optimization (2020) — 519 citations