Raha Moraffah

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 Raha Moraffah trusts overall

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

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

Who trusts Raha Moraffah overall

1. Waddah Saeed
2. Christian Walter Peter Omlin

Papers from Raha Moraffah's perspective

Ordered by how strongly the researchers Raha Moraffah 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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