Aaron Springer

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Human-Computer Interaction — 12 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Safety Research — 8 citations into it
• Information Systems and Management — 7 citations into it
• Sociology and Political Science — 7 citations into it
• Information Systems — 5 citations into it

Whom Aaron Springer trusts overall

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

1. Scott M. Lundberg
2. Marco Tulio Ribeiro
3. Brian Y. Lim
4. Denis J. Hilton
5. René F. Kizilcec
6. Motahhare Eslami
7. Su-In Lee
8. Zachary Chase Lipton
9. Daniel Kahneman
10. Tim Miller

Who trusts Aaron Springer overall

1. Vivian Lai
2. Chacha Chen

Papers from Aaron Springer's perspective

Ordered by how strongly the researchers Aaron Springer 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Progressive Disclosure: Designing for Effective Transparency (2018) — 23 citations