Karl Otness

Graph Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Graph Learning — 10 citations into it
• Artificial Intelligence — 6 citations into it; #32,795 of 35,345 by trust here, #26,682 by citations

Whom Karl Otness trusts overall

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

1. Federico Monti
2. Joan Bruna
3. Aleksandar Bojchevski
4. Thomas Kipf
5. Michael M. Bronstein
6. Yann LeCun
7. Mikael Henaff
8. Max Welling
9. Ron Levie
10. Xavier Bresson

Who trusts Karl Otness overall

1. Federico Monti
2. Jake Topping

Papers from Karl Otness's perspective

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

Their papers

• MOTIFNET: A MOTIF-BASED GRAPH CONVOLUTIONAL NETWORK FOR DIRECTED GRAPHS (2018) — 153 citations