Mary Anne Smart

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #26,422 of 35,345 by trust here, #20,377 by citations
• Safety, Robustness & Interpretability — 15 citations into it
• Sociology and Political Science — 6 citations into it
• Privacy & Security — 5 citations into it

Whom Mary Anne Smart trusts overall

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

1. Jonathan R. Mayer
2. Alex Krizhevsky
3. Joy Buolamwini
4. John C. Mitchell
5. Inioluwa Deborah Raji
6. Helen Nissenbaum
7. Luke Stark
8. Shoshana Zuboff
9. Rico Neumann
10. Kristian Lum

Who trusts Mary Anne Smart overall

1. Aditya Golatkar
2. Seth Neel
3. Alessandro Achille
4. Ayush Sekhari

Papers from Mary Anne Smart's perspective

Ordered by how strongly the researchers Mary Anne Smart trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations (2020) — 379 citations
• Addressing Privacy Threats from Machine Learning (2021) — 3 citations