Andreas Kipf

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 Andreas Kipf trusts overall

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

1. George V. Cybenko
2. Diederik P. Kingma
3. Alfons Kemper
4. Alex Kendall
5. Christian Szegedy
6. Balaji Lakshminarayanan
7. Jimmy Ba
8. Chuan Guo
9. Geoffrey E. Hinton
10. Sanjay Krishnan

Papers from Andreas Kipf's perspective

Ordered by how strongly the researchers Andreas Kipf 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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