L. Eck

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Model Architectures — 10 citations into it

Whom L. Eck trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ilya Sutskever
7. Yoshua Bengio
8. Ross B. Girshick
9. Diederik P. Kingma
10. Yann LeCun

Who trusts L. Eck overall

1. Marvin Zhang
2. Shuaicheng Niu

Papers from L. Eck's perspective

Ordered by how strongly the researchers L. Eck 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. ImageNet Large Scale Visual Recognition Challenge
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Improving robustness against common corruptions by covariate shift adaptation (2020) — 651 citations