Lucas Zimmer

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 22 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 — 31 citations into it
• Neural Architecture Search & AutoML — 17 citations into it
• Optimization & Training — 11 citations into it
• Evaluation & Benchmarks — 10 citations into it

Whom Lucas Zimmer trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Frank Hutter
4. Yoshua Bengio
5. Kaiming He
6. James Bergstra
7. Diederik P. Kingma
8. Yann LeCun
9. Christian Szegedy
10. Quoc V. Le

Who trusts Lucas Zimmer overall

1. Colin White

Papers from Lucas Zimmer's perspective

Ordered by how strongly the researchers Lucas Zimmer 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search (2020) — 171 citations