Stephen Casper

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 132 citations into it
• Safety, Robustness & Interpretability — 47 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it

Whom Stephen Casper trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Christian Szegedy
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Ian J. Goodfellow
9. Yann LeCun
10. Karen Simonyan

Who trusts Stephen Casper overall

1. Yu Meng
2. Benjamin Steenhoek
3. Kawin Ethayarajh

Papers from Stephen Casper's perspective

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

Their papers

• Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback (2023) — 934 citations
• Robust Feature-Level Adversaries are Interpretability Tools (2021) — 34 citations