Rory Sayres

Artificial Intelligence · 2010–2025

A researcher in the Science corpus: 8 papers; trusts 27 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 181 citations into it; #25,636 of 35,345 by trust here, #3,978 by citations
• Computer Vision and Pattern Recognition — 64 citations into it
• Safety, Robustness & Interpretability — 63 citations into it; #1,659 of 2,251 by trust here, #367 by citations
• Radiology, Nuclear Medicine and Imaging — 29 citations into it
• Cognitive Neuroscience — 19 citations into it

Whom Rory Sayres trusts overall

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

1. Geoffrey E. Hinton
2. Oscar Nestares
3. Yoshua Bengio
4. Christian Szegedy
5. Alex Krizhevsky
6. Volodymyr Mnih
7. Olga Russakovsky
8. Diederik P. Kingma
9. Yann LeCun
10. Ilya Sutskever

Who trusts Rory Sayres overall

1. Amitojdeep Singh

Papers from Rory Sayres's perspective

Ordered by how strongly the researchers Rory Sayres 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. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Going deeper with convolutions
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Gradient-based learning applied to document recognition

Their papers

• Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) (2017) — 2,408 citations
• Towards Expert-Level Medical Question Answering with Large Language Models (2023) — 799 citations
• Underspecification Presents Challenges for Credibility in Modern Machine Learning (2020) — 897 citations
• Direct Uncertainty Prediction for Medical Second Opinions (2018) — 156 citations
• Toward expert-level medical question answering with large language models (2025) — 1,038 citations
• Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy. (2019) — 379 citations
• Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program (2019) — 207 citations
• fMRI-adaptation and category selectivity in human ventral temporal cortex: regional differences across time scales. (2010) — 140 citations