Suzanne Petryk

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 123 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Computer Vision and Pattern Recognition — 54 citations into it
• Model Architectures — 17 citations into it
• Meta & Continual Learning — 11 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Suzanne Petryk trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Karen Simonyan
7. Diederik P. Kingma
8. Marc'Aurelio Ranzato
9. Matthew D. Zeiler
10. Ilya Sutskever

Who trusts Suzanne Petryk overall

1. Julio Hurtado

Papers from Suzanne Petryk's perspective

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

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

Their papers

• Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting (2020) — 53 citations
• NBDT: Neural-Backed Decision Trees (2020) — 125 citations