Matthias Lenga

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it

Whom Matthias Lenga trusts overall

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

1. R. Caruana
2. David Lopez-Paz
3. Gao Huang
4. Pranav Rajpurkar
5. Marc'Aurelio Ranzato
6. Jeremy Irvin
7. Xiaosong Wang
8. Geoffrey E. Hinton
9. James Kirkpatrick
10. Zhuang Liu

Papers from Matthias Lenga's perspective

Ordered by how strongly the researchers Matthias Lenga 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Continual Learning for Domain Adaptation in Chest X-ray Classification (2020) — 72 citations