Leon Hetzel

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it

Whom Leon Hetzel trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Kaiming He
5. Yoshua Bengio
6. Karen Simonyan

Papers from Leon Hetzel's perspective

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

Their papers

• Predicting cellular responses to complex perturbations in high‐throughput screens (2023) — 316 citations
• Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks (2019) — 132 citations