Philipp Donn

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 21 citations into it
• Efficiency & Compression — 5 citations into it
• Meta & Continual Learning — 5 citations into it

Whom Philipp Donn trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Umberto Michieli
4. Alex Krizhevsky
5. Kaiming He
6. Evan Shelhamer
7. Yoshua Bengio
8. Jimmy Ba
9. Yann LeCun
10. Ross B. Girshick

Who trusts Philipp Donn overall

1. Umberto Michieli

Papers from Philipp Donn's perspective

Ordered by how strongly the researchers Philipp Donn 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. ImageNet Large Scale Visual Recognition Challenge
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Long Short-Term Memory

Their papers

• Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels (2020) — 48 citations