Marissa Connor

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 Marissa Connor 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

Papers from Marissa Connor's perspective

Ordered by how strongly the researchers Marissa Connor 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Auto-Encoding Variational Bayes (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

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