Carrie Ruzal-Shapiro

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Optimization & Training — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 5 citations into it

Whom Carrie Ruzal-Shapiro trusts overall

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

1. Yurii E. Nesterov
2. Christian Szegedy
3. Diederik P. Kingma
4. Sergey Ioffe
5. Yann LeCun
6. Yoshua Bengio
7. Geoffrey E. Hinton

Papers from Carrie Ruzal-Shapiro's perspective

Ordered by how strongly the researchers Carrie Ruzal-Shapiro 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. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
6. ImageNet classification with deep convolutional neural networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling (2018) — 81 citations