Erika Puiutta

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Safety, Robustness & Interpretability — 22 citations into it
• Reinforcement Learning — 15 citations into it
• Information Systems — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Information Systems and Management — 5 citations into it

Whom Erika Puiutta trusts overall

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

1. J. Ross Quinlan
2. John D. Lee
3. Christian Szegedy
4. Jens Kober
5. Anh Totti Nguyen
6. Jonathan L. Herlocker
7. Elena Ikonomovska
8. Prashan Madumal
9. Julian Schrittwieser
10. David Silver

Who trusts Erika Puiutta overall

1. Gesina Schwalbe
2. Amal Feriani

Papers from Erika Puiutta's perspective

Ordered by how strongly the researchers Erika Puiutta 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Explainable Reinforcement Learning: A Survey (2020) — 321 citations