Lukasz Dudziak

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 46 citations into it
• Efficiency & Compression — 32 citations into it
• Model Architectures — 19 citations into it
• Optimization & Training — 10 citations into it
• Neural Architecture Search & AutoML — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Lukasz Dudziak trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yann LeCun
5. Karen Simonyan
6. Quoc V. Le
7. Yoshua Bengio
8. Jia Deng
9. Ilya Sutskever
10. Diederik P. Kingma

Papers from Lukasz Dudziak's perspective

Ordered by how strongly the researchers Lukasz Dudziak 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: 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. Long Short-Term Memory
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. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Dynamic Channel Pruning: Feature Boosting and Suppression (2018) — 348 citations
• Zero-Cost Proxies for Lightweight NAS (2021) — 352 citations