Laura Graves

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #28,074 of 35,345 by trust here, #26,682 by citations
• Privacy & Security — 11 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Laura Graves trusts overall

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

1. Matt Fredrikson
2. Kaiming He
3. Cynthia Dwork
4. Alex Krizhevsky
5. Somesh Jha
6. Chuan Guo
7. Samuel Yeom
8. Antonio A. Ginart
9. X. Zhang
10. Geoffrey E. Hinton

Who trusts Laura Graves overall

1. Meghdad Kurmanji
2. Ayush Kumar Tarun
3. Wen Zhang
4. Anvith Thudi
5. Vikram S Chundawat
6. Peter Triantafillou
7. Lingfei Deng
8. Gabriel Deza
9. Stella Biderman

Papers from Laura Graves's perspective

Ordered by how strongly the researchers Laura Graves 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. Learning Multiple Layers of Features from Tiny Images
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. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Amnesiac Machine Learning (2020) — 458 citations