Matthew R. O'Shaughnessy

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Safety, Robustness & Interpretability — 28 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Generative Models — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Matthew R. O'Shaughnessy trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. David Alvarez-Melis
5. Alex Krizhevsky
6. Jimmy Ba
7. Yann LeCun
8. Max Welling
9. Tommi S. Jaakkola
10. Ilya Sutskever

Who trusts Matthew R. O'Shaughnessy overall

1. Oran Lang

Papers from Matthew R. O'Shaughnessy's perspective

Ordered by how strongly the researchers Matthew R. O'Shaughnessy 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Generative causal explanations of black-box classifiers (2020) — 83 citations