Emily Wenger

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 53 citations into it
• Safety, Robustness & Interpretability — 33 citations into it
• Signal Processing — 20 citations into it

Whom Emily Wenger trusts overall

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

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

Papers from Emily Wenger's perspective

Ordered by how strongly the researchers Emily Wenger 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
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

• GLAZE: Protecting Artists from Style Mimicry by Text-to-Image Models (2023) — 295 citations
• Fawkes: Protecting Privacy against Unauthorized Deep Learning Models (2020) — 307 citations