Adrienne Jeanisha Raglin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Safety, Robustness & Interpretability — 40 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it

Whom Adrienne Jeanisha Raglin trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Alex Krizhevsky
5. Matthew D. Zeiler
6. Yann LeCun
7. Kaiming He
8. R. Caruana
9. Ilya Sutskever
10. Ulrike von Luxburg

Papers from Adrienne Jeanisha Raglin's perspective

Ordered by how strongly the researchers Adrienne Jeanisha Raglin 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Causal Interpretability for Machine Learning - Problems, Methods and Evaluation (2020) — 266 citations