Bernhard Radke

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Bernhard Radke trusts overall

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

1. George V. Cybenko
2. Diederik P. Kingma

Papers from Bernhard Radke's perspective

Ordered by how strongly the researchers Bernhard Radke trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Rethinking the Inception Architecture for Computer Vision
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Overcoming catastrophic forgetting in neural networks
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Learned Cardinalities: Estimating Correlated Joins with Deep Learning (2018) — 483 citations