Rebecca König

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 121 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Radiology, Nuclear Medicine and Imaging — 11 citations into it
• Computer Networks and Communications — 7 citations into it
• Industrial and Manufacturing Engineering — 7 citations into it
• Model Architectures — 7 citations into it
• Efficiency & Compression — 5 citations into it

Whom Rebecca König trusts overall

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

1. Paul Bergmann
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Individualized Treat
8. Carsten Steger
9. Yoshua Bengio
10. Jimmy Ba

Papers from Rebecca König's perspective

Ordered by how strongly the researchers Rebecca König 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. Gradient-based learning applied to document recognition
5. ImageNet Large Scale Visual Recognition Challenge
6. Attention is All you Need (Neural Information Processing Systems)
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies (2023) — 362 citations