Raphael Sznitman

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Raphael Sznitman trusts overall

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

1. Burr Settles
2. Simon Tong
3. Evan Shelhamer
4. Gunnar Rätsch
5. Mark Everingham
6. N. Gordillo
7. Ashish Kapoor
8. Andrea Dal Pozzolo
9. Trevor Darrell
10. Geoffrey E. Hinton

Who trusts Raphael Sznitman overall

1. Fabian Caba Heilbron

Papers from Raphael Sznitman's perspective

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

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

Their papers

• Surgical data science – from concepts toward clinical translation (2020) — 323 citations
• Learning Active Learning from Data (2017) — 346 citations